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| 126 | Namespaces</h2></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 127 | <tr class="memitem:namespacearm__compute_1_1test_1_1_c_l_suite"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1_c_l_suite.xhtml">CLSuite</a></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 128 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
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| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 130 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
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| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 132 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 133 | <tr class="memitem:namespacearm__compute_1_1test_1_1framework"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml">framework</a></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 134 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 135 | <tr class="memitem:namespacearm__compute_1_1test_1_1networks"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1networks.xhtml">networks</a></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 136 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 137 | <tr class="memitem:namespacearm__compute_1_1test_1_1traits"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1traits.xhtml">traits</a></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 138 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 139 | <tr class="memitem:namespacearm__compute_1_1test_1_1validation"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test_1_1validation.xhtml">validation</a></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 140 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| 141 | </table><table class="memberdecls"> |
| 142 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> |
| 143 | Data Structures</h2></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 144 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml">AssetsLibrary</a></td></tr> |
| 145 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Factory class to create and fill tensors. <a href="classarm__compute_1_1test_1_1_assets_library.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 146 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 147 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">ActivationLayerFixture</a></td></tr> |
| 148 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 149 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 150 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_alex_net_fixture.xhtml">AlexNetFixture</a></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 151 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 152 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">BatchNormalizationLayerFixture</a></td></tr> |
| 153 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 154 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 155 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml">ConvolutionLayerFixture</a></td></tr> |
| 156 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 157 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 158 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_depthwise_convolution_fixture.xhtml">DepthwiseConvolutionFixture</a></td></tr> |
| 159 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_depthwise_convolution_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 160 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 161 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_depthwise_separable_convolution_layer_fixture.xhtml">DepthwiseSeparableConvolutionLayerFixture</a></td></tr> |
| 162 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_depthwise_separable_convolution_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 163 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 164 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_floor_fixture.xhtml">FloorFixture</a></td></tr> |
| 165 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_floor_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 166 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 167 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml">FullyConnectedLayerFixture</a></td></tr> |
| 168 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 169 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 170 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml">GEMMFixture</a></td></tr> |
| 171 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 172 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 173 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_le_net5_fixture.xhtml">LeNet5Fixture</a></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 174 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 175 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml">NormalizationLayerFixture</a></td></tr> |
| 176 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 177 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 178 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml">PoolingLayerFixture</a></td></tr> |
| 179 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 180 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 181 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml">ROIPoolingLayerFixture</a></td></tr> |
| 182 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Fixture that can be used for NEON and CL. <a href="classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 183 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 184 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a></td></tr> |
| 185 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml" title="Accessor implementation for Tensor objects. ">Accessor</a> implementation for <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> objects. <a href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 186 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 187 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml">CLArrayAccessor</a></td></tr> |
| 188 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml" title="Accessor implementation for Tensor objects. ">Accessor</a> implementation for <a class="el" href="classarm__compute_1_1_c_l_array.xhtml">CLArray</a> objects. <a href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 189 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 190 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml">CLLutAccessor</a></td></tr> |
| 191 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml" title="Accessor implementation for Tensor objects. ">Accessor</a> implementation for <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml">CLLut</a> objects. <a href="classarm__compute_1_1test_1_1_c_l_lut_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 192 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| 193 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 194 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Common interface to provide information and access to tensor like structures. <a href="classarm__compute_1_1test_1_1_i_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 195 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 196 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml">IArrayAccessor</a></td></tr> |
| 197 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Common interface to provide information and access to array like structures. <a href="classarm__compute_1_1test_1_1_i_array_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 198 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 199 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_i_lut_accessor.xhtml">ILutAccessor</a></td></tr> |
| 200 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Common interface to provide information and access to <a class="el" href="classarm__compute_1_1_lut.xhtml" title="Basic implementation of the LUT interface. ">Lut</a> like structures. <a href="classarm__compute_1_1test_1_1_i_lut_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 201 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 202 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a></td></tr> |
| 203 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml" title="Accessor implementation for Tensor objects. ">Accessor</a> implementation for <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a> objects. <a href="classarm__compute_1_1test_1_1_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 204 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 205 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml">ArrayAccessor</a></td></tr> |
| 206 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml" title="ArrayAccessor implementation for Array objects. ">ArrayAccessor</a> implementation for <a class="el" href="classarm__compute_1_1_array.xhtml">Array</a> objects. <a href="classarm__compute_1_1test_1_1_array_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 207 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 208 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_lut_accessor.xhtml">LutAccessor</a></td></tr> |
| 209 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml" title="Accessor implementation for Tensor objects. ">Accessor</a> implementation for <a class="el" href="classarm__compute_1_1_lut.xhtml">Lut</a> objects. <a href="classarm__compute_1_1test_1_1_lut_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 210 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 211 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_padding_calculator.xhtml">PaddingCalculator</a></td></tr> |
| 212 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Calculate required padding. <a href="classarm__compute_1_1test_1_1_padding_calculator.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 213 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 214 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml">RawLutAccessor</a></td></tr> |
| 215 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight"><a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml" title="Accessor implementation for Tensor objects. ">Accessor</a> implementation for std::map-lut objects. <a href="classarm__compute_1_1test_1_1_raw_lut_accessor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 216 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| 217 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 218 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Subclass of <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml" title="Simple tensor object that stores elements in a consecutive chunk of memory. ">SimpleTensor</a> using uint8_t as value type. <a href="classarm__compute_1_1test_1_1_raw_tensor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 219 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 220 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a></td></tr> |
| 221 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Simple tensor object that stores elements in a consecutive chunk of memory. <a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 222 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| 223 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml">TensorCache</a></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 224 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Stores <a class="el" href="classarm__compute_1_1test_1_1_raw_tensor.xhtml">RawTensor</a> categorised by the image they are created from including name, format and channel. <a href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 225 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 226 | <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1test_1_1common__promoted__signed__type.xhtml">common_promoted_signed_type</a></td></tr> |
| 227 | <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Find the signed promoted common type. <a href="structarm__compute_1_1test_1_1common__promoted__signed__type.xhtml#details">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 228 | <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| 229 | </table><table class="memberdecls"> |
| 230 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a> |
| 231 | Typedefs</h2></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 232 | <tr class="memitem:a74a10374253178ae54e1baab173698a1"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a74a10374253178ae54e1baab173698a1">CLActivationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">ActivationLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 233 | <tr class="separator:a74a10374253178ae54e1baab173698a1"><td class="memSeparator" colspan="2"> </td></tr> |
| 234 | <tr class="memitem:af80ea91532f0ebdccb3f1d8e507a98ad"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad">CLBatchNormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">BatchNormalizationLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml">CLBatchNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 235 | <tr class="separator:af80ea91532f0ebdccb3f1d8e507a98ad"><td class="memSeparator" colspan="2"> </td></tr> |
| 236 | <tr class="memitem:ad275d75e1b63f91fdc59afe026688b12"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml">ConvolutionLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml">CLConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 237 | <tr class="separator:ad275d75e1b63f91fdc59afe026688b12"><td class="memSeparator" colspan="2"> </td></tr> |
| 238 | <tr class="memitem:a1e3870d2e47dfd84b259bdbff0a6f5f8"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1e3870d2e47dfd84b259bdbff0a6f5f8">CLDepthwiseConvolutionFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_depthwise_convolution_fixture.xhtml">DepthwiseConvolutionFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution.xhtml">CLDepthwiseConvolution</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 239 | <tr class="separator:a1e3870d2e47dfd84b259bdbff0a6f5f8"><td class="memSeparator" colspan="2"> </td></tr> |
| 240 | <tr class="memitem:adc07e82b4049d653c965af2606a7d70f"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#adc07e82b4049d653c965af2606a7d70f">CLDepthwiseSeparableConvolutionLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_depthwise_separable_convolution_layer_fixture.xhtml">DepthwiseSeparableConvolutionLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml">CLDepthwiseSeparableConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 241 | <tr class="separator:adc07e82b4049d653c965af2606a7d70f"><td class="memSeparator" colspan="2"> </td></tr> |
| 242 | <tr class="memitem:a4a14e383a632057e99845c74a72a6454"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4a14e383a632057e99845c74a72a6454">CLFloorFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_floor_fixture.xhtml">FloorFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_floor.xhtml">CLFloor</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 243 | <tr class="separator:a4a14e383a632057e99845c74a72a6454"><td class="memSeparator" colspan="2"> </td></tr> |
| 244 | <tr class="memitem:a4c33955ce3f6ed3a4d756cdebf6c8b3a"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml">FullyConnectedLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 245 | <tr class="separator:a4c33955ce3f6ed3a4d756cdebf6c8b3a"><td class="memSeparator" colspan="2"> </td></tr> |
| 246 | <tr class="memitem:abf07c2bf7d8e9c76e146f9b21bee88fd"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd">CLGEMMFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml">GEMMFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 247 | <tr class="separator:abf07c2bf7d8e9c76e146f9b21bee88fd"><td class="memSeparator" colspan="2"> </td></tr> |
| 248 | <tr class="memitem:af4f1c6ad288931f07f614316f57ed63b"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#af4f1c6ad288931f07f614316f57ed63b">CLNormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml">NormalizationLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer.xhtml">CLNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 249 | <tr class="separator:af4f1c6ad288931f07f614316f57ed63b"><td class="memSeparator" colspan="2"> </td></tr> |
| 250 | <tr class="memitem:a9c81648f3199d0d1c3f34a29a7a2bb8d"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml">PoolingLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer.xhtml">CLPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> ></td></tr> |
| 251 | <tr class="separator:a9c81648f3199d0d1c3f34a29a7a2bb8d"><td class="memSeparator" colspan="2"> </td></tr> |
| 252 | <tr class="memitem:a41884dec2ecae6674396802641b01060"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a41884dec2ecae6674396802641b01060">CLROIPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml">ROIPoolingLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml">CLROIPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="el" href="classarm__compute_1_1_c_l_array.xhtml">CLArray</a>< <a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a> >, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml">CLArrayAccessor</a>< <a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a> >></td></tr> |
| 253 | <tr class="separator:a41884dec2ecae6674396802641b01060"><td class="memSeparator" colspan="2"> </td></tr> |
| 254 | <tr class="memitem:aa631c5ec3d7cb3dab649f994e9e9217d"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa631c5ec3d7cb3dab649f994e9e9217d">CLAlexNetFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fixture.xhtml">AlexNetFixture</a>< <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_sub_tensor.xhtml">CLSubTensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="el" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml">CLConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer.xhtml">CLNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer.xhtml">CLPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_softmax_layer.xhtml">CLSoftmaxLayer</a> ></td></tr> |
| 255 | <tr class="separator:aa631c5ec3d7cb3dab649f994e9e9217d"><td class="memSeparator" colspan="2"> </td></tr> |
| 256 | <tr class="memitem:ae3b678c8477dd5acc5e264eae37b562c"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae3b678c8477dd5acc5e264eae37b562c">CLLeNet5Fixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_le_net5_fixture.xhtml">LeNet5Fixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="el" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml">CLConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer.xhtml">CLPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_softmax_layer.xhtml">CLSoftmaxLayer</a> ></td></tr> |
| 257 | <tr class="separator:ae3b678c8477dd5acc5e264eae37b562c"><td class="memSeparator" colspan="2"> </td></tr> |
| 258 | <tr class="memitem:aeded391cb7ec7a44c41eb23544265894"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">ActivationLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer.xhtml">NEActivationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 259 | <tr class="separator:aeded391cb7ec7a44c41eb23544265894"><td class="memSeparator" colspan="2"> </td></tr> |
| 260 | <tr class="memitem:ac7369c169e6de526fcb6f68e4a959444"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">BatchNormalizationLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 261 | <tr class="separator:ac7369c169e6de526fcb6f68e4a959444"><td class="memSeparator" colspan="2"> </td></tr> |
| 262 | <tr class="memitem:a3168ad22b6ac1e9a6996b53e5038a7a2"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml">ConvolutionLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 263 | <tr class="separator:a3168ad22b6ac1e9a6996b53e5038a7a2"><td class="memSeparator" colspan="2"> </td></tr> |
| 264 | <tr class="memitem:ac8cf6873b0e9ac7334bcbc042fdc5f02"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac8cf6873b0e9ac7334bcbc042fdc5f02">NEFloorFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_floor_fixture.xhtml">FloorFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_floor.xhtml">NEFloor</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 265 | <tr class="separator:ac8cf6873b0e9ac7334bcbc042fdc5f02"><td class="memSeparator" colspan="2"> </td></tr> |
| 266 | <tr class="memitem:a0b4f7a523ddb2b823750ff5bdc03470c"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml">FullyConnectedLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 267 | <tr class="separator:a0b4f7a523ddb2b823750ff5bdc03470c"><td class="memSeparator" colspan="2"> </td></tr> |
| 268 | <tr class="memitem:a789c444c1307e85eec5f8b0d75fd5f7d"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d">NEGEMMFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml">GEMMFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">NEGEMM</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 269 | <tr class="separator:a789c444c1307e85eec5f8b0d75fd5f7d"><td class="memSeparator" colspan="2"> </td></tr> |
| 270 | <tr class="memitem:acc2c4764a300b505b50e9ba0642eff2b"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#acc2c4764a300b505b50e9ba0642eff2b">NENormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml">NormalizationLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml">NENormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 271 | <tr class="separator:acc2c4764a300b505b50e9ba0642eff2b"><td class="memSeparator" colspan="2"> </td></tr> |
| 272 | <tr class="memitem:aafcc5ee5a13d9ed18d31591bb1d50fb0"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml">PoolingLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml">NEPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> ></td></tr> |
| 273 | <tr class="separator:aafcc5ee5a13d9ed18d31591bb1d50fb0"><td class="memSeparator" colspan="2"> </td></tr> |
| 274 | <tr class="memitem:a7ad74154ac625702bef70b90243ae63f"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7ad74154ac625702bef70b90243ae63f">NEROIPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml">ROIPoolingLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml">NEROIPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>, <a class="el" href="classarm__compute_1_1_array.xhtml">Array</a>< <a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a> >, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml">ArrayAccessor</a>< <a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a> >></td></tr> |
| 275 | <tr class="separator:a7ad74154ac625702bef70b90243ae63f"><td class="memSeparator" colspan="2"> </td></tr> |
| 276 | <tr class="memitem:ae0e8bcf3b0ed15e708b4a38febfdb84e"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae0e8bcf3b0ed15e708b4a38febfdb84e">NEAlexNetFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fixture.xhtml">AlexNetFixture</a>< <a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a>, <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_sub_tensor.xhtml">SubTensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer.xhtml">NEActivationLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml">NENormalizationLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml">NEPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml">NESoftmaxLayer</a> ></td></tr> |
| 277 | <tr class="separator:ae0e8bcf3b0ed15e708b4a38febfdb84e"><td class="memSeparator" colspan="2"> </td></tr> |
| 278 | <tr class="memitem:a6a292ad5fedcc7dea6c6eb1be6d4c0d3"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6a292ad5fedcc7dea6c6eb1be6d4c0d3">NELeNet5Fixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_le_net5_fixture.xhtml">LeNet5Fixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer.xhtml">NEActivationLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml">NEPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml">NESoftmaxLayer</a> ></td></tr> |
| 279 | <tr class="separator:a6a292ad5fedcc7dea6c6eb1be6d4c0d3"><td class="memSeparator" colspan="2"> </td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 280 | </table><table class="memberdecls"> |
| 281 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| 282 | Functions</h2></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 283 | <tr class="memitem:a2fba44656470195a6245f922a1c264f5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a2fba44656470195a6245f922a1c264f5">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad">CLBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_batch_normalization_layer_dataset.xhtml">datasets::YOLOV2BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 284 | <tr class="separator:a2fba44656470195a6245f922a1c264f5"><td class="memSeparator" colspan="2"> </td></tr> |
| 285 | <tr class="memitem:a365d9325d2bba7fbf9983f80bfe8c796"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a365d9325d2bba7fbf9983f80bfe8c796">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad">CLBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 286 | <tr class="separator:a365d9325d2bba7fbf9983f80bfe8c796"><td class="memSeparator" colspan="2"> </td></tr> |
| 287 | <tr class="memitem:a2abd12df8c0c36eed83982ee073db2ff"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a2abd12df8c0c36eed83982ee073db2ff">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad">CLBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_batch_normalization_layer_dataset.xhtml">datasets::YOLOV2BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 288 | <tr class="separator:a2abd12df8c0c36eed83982ee073db2ff"><td class="memSeparator" colspan="2"> </td></tr> |
| 289 | <tr class="memitem:a8457ac77df7a142e86354ac08fd5ba30"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8457ac77df7a142e86354ac08fd5ba30">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad">CLBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 290 | <tr class="separator:a8457ac77df7a142e86354ac08fd5ba30"><td class="memSeparator" colspan="2"> </td></tr> |
| 291 | <tr class="memitem:a80d1181d85aefe33d6a8720152dba80b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a80d1181d85aefe33d6a8720152dba80b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml">datasets::AlexNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 292 | <tr class="separator:a80d1181d85aefe33d6a8720152dba80b"><td class="memSeparator" colspan="2"> </td></tr> |
| 293 | <tr class="memitem:ac18e51057a61f7db456d1c8b9b03aa09"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac18e51057a61f7db456d1c8b9b03aa09">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_convolution_layer_dataset.xhtml">datasets::LeNet5ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 294 | <tr class="separator:ac18e51057a61f7db456d1c8b9b03aa09"><td class="memSeparator" colspan="2"> </td></tr> |
| 295 | <tr class="memitem:a3e452462cb397897f476f6d83b468914"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a3e452462cb397897f476f6d83b468914">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 296 | <tr class="separator:a3e452462cb397897f476f6d83b468914"><td class="memSeparator" colspan="2"> </td></tr> |
| 297 | <tr class="memitem:aecd85eec5df288174be9b7e0fac6d1fe"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aecd85eec5df288174be9b7e0fac6d1fe">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 298 | <tr class="separator:aecd85eec5df288174be9b7e0fac6d1fe"><td class="memSeparator" colspan="2"> </td></tr> |
| 299 | <tr class="memitem:aea25c6951a5d4bcfeb95750105154506"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aea25c6951a5d4bcfeb95750105154506">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 300 | <tr class="separator:aea25c6951a5d4bcfeb95750105154506"><td class="memSeparator" colspan="2"> </td></tr> |
| 301 | <tr class="memitem:ac62a5389a4a60e89fabb6bb2153adfc5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac62a5389a4a60e89fabb6bb2153adfc5">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml">datasets::AlexNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 302 | <tr class="separator:ac62a5389a4a60e89fabb6bb2153adfc5"><td class="memSeparator" colspan="2"> </td></tr> |
| 303 | <tr class="memitem:a65a028ab7f8ba81db43d5963ea5343a4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a65a028ab7f8ba81db43d5963ea5343a4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_convolution_layer_dataset.xhtml">datasets::LeNet5ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 304 | <tr class="separator:a65a028ab7f8ba81db43d5963ea5343a4"><td class="memSeparator" colspan="2"> </td></tr> |
| 305 | <tr class="memitem:a6773bc983eece85b34d67c4ba3c09554"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6773bc983eece85b34d67c4ba3c09554">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 306 | <tr class="separator:a6773bc983eece85b34d67c4ba3c09554"><td class="memSeparator" colspan="2"> </td></tr> |
| 307 | <tr class="memitem:a4bdfdac4318cf7e4b09cc13a553363a7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4bdfdac4318cf7e4b09cc13a553363a7">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 308 | <tr class="separator:a4bdfdac4318cf7e4b09cc13a553363a7"><td class="memSeparator" colspan="2"> </td></tr> |
| 309 | <tr class="memitem:a34df6fb97233366fc9083d79c13a5737"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a34df6fb97233366fc9083d79c13a5737">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 310 | <tr class="separator:a34df6fb97233366fc9083d79c13a5737"><td class="memSeparator" colspan="2"> </td></tr> |
| 311 | <tr class="memitem:a5a371e1a37be130dc9e8c905cd5efc29"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a5a371e1a37be130dc9e8c905cd5efc29">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_convolution_layer_dataset.xhtml">datasets::VGG16ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4})))</td></tr> |
| 312 | <tr class="separator:a5a371e1a37be130dc9e8c905cd5efc29"><td class="memSeparator" colspan="2"> </td></tr> |
| 313 | <tr class="memitem:a7473924d4fdf2b5dec0d8ee9aa11e25d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7473924d4fdf2b5dec0d8ee9aa11e25d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_convolution_layer_dataset.xhtml">datasets::YOLOV2ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 314 | <tr class="separator:a7473924d4fdf2b5dec0d8ee9aa11e25d"><td class="memSeparator" colspan="2"> </td></tr> |
| 315 | <tr class="memitem:ad7d919409d3d679cfbf28b2dae757fec"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad7d919409d3d679cfbf28b2dae757fec">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetDepthwiseConvolution, <a class="el" href="namespacearm__compute_1_1test.xhtml#a1e3870d2e47dfd84b259bdbff0a6f5f8">CLDepthwiseConvolutionFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_mobile_net_depthwise_convolution_dataset.xhtml">datasets::MobileNetDepthwiseConvolutionDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1})))</td></tr> |
| 316 | <tr class="separator:ad7d919409d3d679cfbf28b2dae757fec"><td class="memSeparator" colspan="2"> </td></tr> |
| 317 | <tr class="memitem:a1f4b9eae17da2aebc223b0fdeee74cea"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1f4b9eae17da2aebc223b0fdeee74cea">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MobileNetDepthwiseSeparableConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#adc07e82b4049d653c965af2606a7d70f">CLDepthwiseSeparableConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_mobile_net_depthwise_separable_convolution_layer_dataset.xhtml">datasets::MobileNetDepthwiseSeparableConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1})))</td></tr> |
| 318 | <tr class="separator:a1f4b9eae17da2aebc223b0fdeee74cea"><td class="memSeparator" colspan="2"> </td></tr> |
| 319 | <tr class="memitem:ad52c9735c67d5972016f143cd15ea874"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad52c9735c67d5972016f143cd15ea874">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml">datasets::AlexNetDirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 320 | <tr class="separator:ad52c9735c67d5972016f143cd15ea874"><td class="memSeparator" colspan="2"> </td></tr> |
| 321 | <tr class="memitem:aa971f54dfef950c44d8973db82b91e4e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa971f54dfef950c44d8973db82b91e4e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 322 | <tr class="separator:aa971f54dfef950c44d8973db82b91e4e"><td class="memSeparator" colspan="2"> </td></tr> |
| 323 | <tr class="memitem:aa0a358cbff96894b77c9b3cfba3c2db4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa0a358cbff96894b77c9b3cfba3c2db4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 324 | <tr class="separator:aa0a358cbff96894b77c9b3cfba3c2db4"><td class="memSeparator" colspan="2"> </td></tr> |
| 325 | <tr class="memitem:afd1574f92e2d5a179c3c7f0e8e438bba"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#afd1574f92e2d5a179c3c7f0e8e438bba">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 326 | <tr class="separator:afd1574f92e2d5a179c3c7f0e8e438bba"><td class="memSeparator" colspan="2"> </td></tr> |
| 327 | <tr class="memitem:a91a53a55f1c814837ea5374d1c2095e8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a91a53a55f1c814837ea5374d1c2095e8">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml">datasets::AlexNetDirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 328 | <tr class="separator:a91a53a55f1c814837ea5374d1c2095e8"><td class="memSeparator" colspan="2"> </td></tr> |
| 329 | <tr class="memitem:a959373f15eeea41ce740f0bc0ce2244a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a959373f15eeea41ce740f0bc0ce2244a">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 330 | <tr class="separator:a959373f15eeea41ce740f0bc0ce2244a"><td class="memSeparator" colspan="2"> </td></tr> |
| 331 | <tr class="memitem:abb38304d29f99717ecc5c528962972a5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#abb38304d29f99717ecc5c528962972a5">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 332 | <tr class="separator:abb38304d29f99717ecc5c528962972a5"><td class="memSeparator" colspan="2"> </td></tr> |
| 333 | <tr class="memitem:ae88c882e06dad040d2bb6278ef8c4c84"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae88c882e06dad040d2bb6278ef8c4c84">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 334 | <tr class="separator:ae88c882e06dad040d2bb6278ef8c4c84"><td class="memSeparator" colspan="2"> </td></tr> |
| 335 | <tr class="memitem:ab0595cda883cec6b1b3a5389fd786e9f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ab0595cda883cec6b1b3a5389fd786e9f">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_convolution_layer_dataset.xhtml">datasets::VGG16ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 336 | <tr class="separator:ab0595cda883cec6b1b3a5389fd786e9f"><td class="memSeparator" colspan="2"> </td></tr> |
| 337 | <tr class="memitem:aabdb95f3f541376f38e03d63957cd0af"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aabdb95f3f541376f38e03d63957cd0af">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_convolution_layer_dataset.xhtml">datasets::YOLOV2ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 338 | <tr class="separator:aabdb95f3f541376f38e03d63957cd0af"><td class="memSeparator" colspan="2"> </td></tr> |
| 339 | <tr class="memitem:a6e81878e7ca8fecdd9f6e6bcc2a7b794"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6e81878e7ca8fecdd9f6e6bcc2a7b794">REGISTER_FIXTURE_DATA_TEST_CASE</a> (Floor, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4a14e383a632057e99845c74a72a6454">CLFloorFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml">datasets::SmallShapes</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 340 | <tr class="separator:a6e81878e7ca8fecdd9f6e6bcc2a7b794"><td class="memSeparator" colspan="2"> </td></tr> |
| 341 | <tr class="memitem:ae5411ce056673117b799d20c1c9484dd"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae5411ce056673117b799d20c1c9484dd">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetFullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_fully_connected_layer_dataset.xhtml">datasets::AlexNetFullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 342 | <tr class="separator:ae5411ce056673117b799d20c1c9484dd"><td class="memSeparator" colspan="2"> </td></tr> |
| 343 | <tr class="memitem:ae63877ff99387d51d4abc340a50f1093"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae63877ff99387d51d4abc340a50f1093">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_fully_connected_layer_dataset.xhtml">datasets::LeNet5FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 344 | <tr class="separator:ae63877ff99387d51d4abc340a50f1093"><td class="memSeparator" colspan="2"> </td></tr> |
| 345 | <tr class="memitem:a49ab3e510552d29b5698d55ef52674c3"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a49ab3e510552d29b5698d55ef52674c3">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_fully_connected_layer_dataset.xhtml">datasets::VGG16FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 346 | <tr class="separator:a49ab3e510552d29b5698d55ef52674c3"><td class="memSeparator" colspan="2"> </td></tr> |
| 347 | <tr class="memitem:a8cf1a9e06ce42b8ff57bf13aa2c2c047"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8cf1a9e06ce42b8ff57bf13aa2c2c047">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 348 | <tr class="separator:a8cf1a9e06ce42b8ff57bf13aa2c2c047"><td class="memSeparator" colspan="2"> </td></tr> |
| 349 | <tr class="memitem:a8388dbd479dceaffb21c8fc564c5c420"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8388dbd479dceaffb21c8fc564c5c420">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 350 | <tr class="separator:a8388dbd479dceaffb21c8fc564c5c420"><td class="memSeparator" colspan="2"> </td></tr> |
| 351 | <tr class="memitem:ab8549a72a0983f5281a5612979669e2d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ab8549a72a0983f5281a5612979669e2d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetFullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_fully_connected_layer_dataset.xhtml">datasets::AlexNetFullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 352 | <tr class="separator:ab8549a72a0983f5281a5612979669e2d"><td class="memSeparator" colspan="2"> </td></tr> |
| 353 | <tr class="memitem:adb9a698039f2f9414f3296a4d9070893"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#adb9a698039f2f9414f3296a4d9070893">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_fully_connected_layer_dataset.xhtml">datasets::LeNet5FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 354 | <tr class="separator:adb9a698039f2f9414f3296a4d9070893"><td class="memSeparator" colspan="2"> </td></tr> |
| 355 | <tr class="memitem:a6fef2cd462f91f3b071ee7d02322dbb6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6fef2cd462f91f3b071ee7d02322dbb6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_fully_connected_layer_dataset.xhtml">datasets::VGG16FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 356 | <tr class="separator:a6fef2cd462f91f3b071ee7d02322dbb6"><td class="memSeparator" colspan="2"> </td></tr> |
| 357 | <tr class="memitem:a463d7f372ea5c6217b8ee151b47f596e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a463d7f372ea5c6217b8ee151b47f596e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 358 | <tr class="separator:a463d7f372ea5c6217b8ee151b47f596e"><td class="memSeparator" colspan="2"> </td></tr> |
| 359 | <tr class="memitem:ad5d101b25bb35a8d9b1efc70102bb3a4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad5d101b25bb35a8d9b1efc70102bb3a4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 360 | <tr class="separator:ad5d101b25bb35a8d9b1efc70102bb3a4"><td class="memSeparator" colspan="2"> </td></tr> |
| 361 | <tr class="memitem:a2b1950a60a98dec32a7ca7531fded8ad"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a2b1950a60a98dec32a7ca7531fded8ad">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1GEMM, <a class="el" href="namespacearm__compute_1_1test.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd">CLGEMMFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_g_e_m_m_dataset.xhtml">datasets::GoogLeNetInceptionV1GEMMDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 362 | <tr class="separator:a2b1950a60a98dec32a7ca7531fded8ad"><td class="memSeparator" colspan="2"> </td></tr> |
| 363 | <tr class="memitem:aef76c7b3cf7d1e3c6fc7ff96804a5753"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aef76c7b3cf7d1e3c6fc7ff96804a5753">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MatrixMultiplyGEMM, <a class="el" href="namespacearm__compute_1_1test.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd">CLGEMMFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_matrix_multiply_g_e_m_m_dataset.xhtml">datasets::MatrixMultiplyGEMMDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 364 | <tr class="separator:aef76c7b3cf7d1e3c6fc7ff96804a5753"><td class="memSeparator" colspan="2"> </td></tr> |
| 365 | <tr class="memitem:af935c08091163839aead6ac3023c2147"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#af935c08091163839aead6ac3023c2147">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogleNetGEMM, <a class="el" href="namespacearm__compute_1_1test.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd">CLGEMMFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_google_net_g_e_m_m_dataset.xhtml">datasets::GoogleNetGEMMDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 366 | <tr class="separator:af935c08091163839aead6ac3023c2147"><td class="memSeparator" colspan="2"> </td></tr> |
| 367 | <tr class="memitem:a70d28ab3b5936a6454451d42f3c170f3"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a70d28ab3b5936a6454451d42f3c170f3">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af4f1c6ad288931f07f614316f57ed63b">CLNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml">datasets::AlexNetNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 368 | <tr class="separator:a70d28ab3b5936a6454451d42f3c170f3"><td class="memSeparator" colspan="2"> </td></tr> |
| 369 | <tr class="memitem:afc6ba7f0f4b792e2df1270d8f83f138d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#afc6ba7f0f4b792e2df1270d8f83f138d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1NormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af4f1c6ad288931f07f614316f57ed63b">CLNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1NormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 370 | <tr class="separator:afc6ba7f0f4b792e2df1270d8f83f138d"><td class="memSeparator" colspan="2"> </td></tr> |
| 371 | <tr class="memitem:ae4dd72b2a2e5af0c89c5ce7d2443e115"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae4dd72b2a2e5af0c89c5ce7d2443e115">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af4f1c6ad288931f07f614316f57ed63b">CLNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml">datasets::AlexNetNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 372 | <tr class="separator:ae4dd72b2a2e5af0c89c5ce7d2443e115"><td class="memSeparator" colspan="2"> </td></tr> |
| 373 | <tr class="memitem:a62af6d63be834c648f251c0497e7b59f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a62af6d63be834c648f251c0497e7b59f">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1NormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#af4f1c6ad288931f07f614316f57ed63b">CLNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1NormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 374 | <tr class="separator:a62af6d63be834c648f251c0497e7b59f"><td class="memSeparator" colspan="2"> </td></tr> |
| 375 | <tr class="memitem:a0e999f1d9f9608da6fb4bbde4afc078e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a0e999f1d9f9608da6fb4bbde4afc078e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_pooling_layer_dataset.xhtml">datasets::AlexNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 376 | <tr class="separator:a0e999f1d9f9608da6fb4bbde4afc078e"><td class="memSeparator" colspan="2"> </td></tr> |
| 377 | <tr class="memitem:a0889351f9ee837c8009925f17dd4688b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a0889351f9ee837c8009925f17dd4688b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_pooling_layer_dataset.xhtml">datasets::LeNet5PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 378 | <tr class="separator:a0889351f9ee837c8009925f17dd4688b"><td class="memSeparator" colspan="2"> </td></tr> |
| 379 | <tr class="memitem:a903e3acaf54969c5d276058e979a753c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a903e3acaf54969c5d276058e979a753c">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 380 | <tr class="separator:a903e3acaf54969c5d276058e979a753c"><td class="memSeparator" colspan="2"> </td></tr> |
| 381 | <tr class="memitem:a85078031088e419e7f928e5ad5bbafa9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a85078031088e419e7f928e5ad5bbafa9">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 382 | <tr class="separator:a85078031088e419e7f928e5ad5bbafa9"><td class="memSeparator" colspan="2"> </td></tr> |
| 383 | <tr class="memitem:a27cf9c407e83adbf0c837240a6bc3534"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a27cf9c407e83adbf0c837240a6bc3534">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_pooling_layer_dataset.xhtml">datasets::SqueezeNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 384 | <tr class="separator:a27cf9c407e83adbf0c837240a6bc3534"><td class="memSeparator" colspan="2"> </td></tr> |
| 385 | <tr class="memitem:afd017468a129b6650b73cb65ecc40516"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#afd017468a129b6650b73cb65ecc40516">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_pooling_layer_dataset.xhtml">datasets::VGG16PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 386 | <tr class="separator:afd017468a129b6650b73cb65ecc40516"><td class="memSeparator" colspan="2"> </td></tr> |
| 387 | <tr class="memitem:a36cad137a713f8be3263a1a6466c6bd7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a36cad137a713f8be3263a1a6466c6bd7">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_pooling_layer_dataset.xhtml">datasets::YOLOV2PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 388 | <tr class="separator:a36cad137a713f8be3263a1a6466c6bd7"><td class="memSeparator" colspan="2"> </td></tr> |
| 389 | <tr class="memitem:a4558b577be27af2ceffffd986b1aab7f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4558b577be27af2ceffffd986b1aab7f">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_pooling_layer_dataset.xhtml">datasets::AlexNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 390 | <tr class="separator:a4558b577be27af2ceffffd986b1aab7f"><td class="memSeparator" colspan="2"> </td></tr> |
| 391 | <tr class="memitem:a731977f1de2e0d6dd1512818540ab608"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a731977f1de2e0d6dd1512818540ab608">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_pooling_layer_dataset.xhtml">datasets::LeNet5PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 392 | <tr class="separator:a731977f1de2e0d6dd1512818540ab608"><td class="memSeparator" colspan="2"> </td></tr> |
| 393 | <tr class="memitem:a967825a64c529b573ca62e74179ee921"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a967825a64c529b573ca62e74179ee921">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 394 | <tr class="separator:a967825a64c529b573ca62e74179ee921"><td class="memSeparator" colspan="2"> </td></tr> |
| 395 | <tr class="memitem:ac06bd6612edf1bbb0c0f4b0d4aa86b32"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac06bd6612edf1bbb0c0f4b0d4aa86b32">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 396 | <tr class="separator:ac06bd6612edf1bbb0c0f4b0d4aa86b32"><td class="memSeparator" colspan="2"> </td></tr> |
| 397 | <tr class="memitem:a5f97a3f0575116d348f47489487d4214"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a5f97a3f0575116d348f47489487d4214">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_pooling_layer_dataset.xhtml">datasets::SqueezeNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 398 | <tr class="separator:a5f97a3f0575116d348f47489487d4214"><td class="memSeparator" colspan="2"> </td></tr> |
| 399 | <tr class="memitem:a6a51ef57457c994f04d0b54e76387add"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6a51ef57457c994f04d0b54e76387add">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_pooling_layer_dataset.xhtml">datasets::VGG16PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 400 | <tr class="separator:a6a51ef57457c994f04d0b54e76387add"><td class="memSeparator" colspan="2"> </td></tr> |
| 401 | <tr class="memitem:a7d579c9d463693975486ea2248adc966"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7d579c9d463693975486ea2248adc966">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_pooling_layer_dataset.xhtml">datasets::YOLOV2PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 402 | <tr class="separator:a7d579c9d463693975486ea2248adc966"><td class="memSeparator" colspan="2"> </td></tr> |
| 403 | <tr class="memitem:ac7d54f1a842ebb07f378846c21ccbe97"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac7d54f1a842ebb07f378846c21ccbe97">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SmallROIPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a41884dec2ecae6674396802641b01060">CLROIPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_small_r_o_i_pooling_layer_dataset.xhtml">datasets::SmallROIPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("DataType",{DataType::F16, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>})), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 404 | <tr class="separator:ac7d54f1a842ebb07f378846c21ccbe97"><td class="memSeparator" colspan="2"> </td></tr> |
| 405 | <tr class="memitem:a69b2d4f81544c38878bd196d49d41360"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a69b2d4f81544c38878bd196d49d41360">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNet, <a class="el" href="namespacearm__compute_1_1test.xhtml#aa631c5ec3d7cb3dab649f994e9e9217d">CLAlexNetFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("DataType",{DataType::F16, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>}), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 406 | <tr class="separator:a69b2d4f81544c38878bd196d49d41360"><td class="memSeparator" colspan="2"> </td></tr> |
| 407 | <tr class="memitem:a485c6b6af55e2f12c1b7ef40546c08f7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a485c6b6af55e2f12c1b7ef40546c08f7">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5, <a class="el" href="namespacearm__compute_1_1test.xhtml#ae3b678c8477dd5acc5e264eae37b562c">CLLeNet5Fixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8}))</td></tr> |
| 408 | <tr class="separator:a485c6b6af55e2f12c1b7ef40546c08f7"><td class="memSeparator" colspan="2"> </td></tr> |
| 409 | <tr class="memitem:abfd4fd028574ac46a9d056e7a1ead6f7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#abfd4fd028574ac46a9d056e7a1ead6f7">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_activation_layer_dataset.xhtml">datasets::AlexNetActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 410 | <tr class="separator:abfd4fd028574ac46a9d056e7a1ead6f7"><td class="memSeparator" colspan="2"> </td></tr> |
| 411 | <tr class="memitem:a70381b263268259b4b6fbff88a0526c4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a70381b263268259b4b6fbff88a0526c4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_activation_layer_dataset.xhtml">datasets::LeNet5ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 412 | <tr class="separator:a70381b263268259b4b6fbff88a0526c4"><td class="memSeparator" colspan="2"> </td></tr> |
| 413 | <tr class="memitem:add697a0c19a1638874c37d5d15fc2d83"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#add697a0c19a1638874c37d5d15fc2d83">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_activation_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 414 | <tr class="separator:add697a0c19a1638874c37d5d15fc2d83"><td class="memSeparator" colspan="2"> </td></tr> |
| 415 | <tr class="memitem:a117bc733390c845f7493e6dad0b75191"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a117bc733390c845f7493e6dad0b75191">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_activation_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 416 | <tr class="separator:a117bc733390c845f7493e6dad0b75191"><td class="memSeparator" colspan="2"> </td></tr> |
| 417 | <tr class="memitem:a70f04129817692e0b5727fb542f9153c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a70f04129817692e0b5727fb542f9153c">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_activation_layer_dataset.xhtml">datasets::SqueezeNetActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 418 | <tr class="separator:a70f04129817692e0b5727fb542f9153c"><td class="memSeparator" colspan="2"> </td></tr> |
| 419 | <tr class="memitem:ab10eddd065a1bdb9c6b09cb1e1382f5a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ab10eddd065a1bdb9c6b09cb1e1382f5a">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_activation_layer_dataset.xhtml">datasets::VGG16ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 420 | <tr class="separator:ab10eddd065a1bdb9c6b09cb1e1382f5a"><td class="memSeparator" colspan="2"> </td></tr> |
| 421 | <tr class="memitem:a572b94c09ce496eda95d8d544dc1c4d1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a572b94c09ce496eda95d8d544dc1c4d1">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml">datasets::YOLOV2ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 422 | <tr class="separator:a572b94c09ce496eda95d8d544dc1c4d1"><td class="memSeparator" colspan="2"> </td></tr> |
| 423 | <tr class="memitem:a7677396611ac11166c6f7344f9e0ef12"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7677396611ac11166c6f7344f9e0ef12">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_activation_layer_dataset.xhtml">datasets::AlexNetActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 424 | <tr class="separator:a7677396611ac11166c6f7344f9e0ef12"><td class="memSeparator" colspan="2"> </td></tr> |
| 425 | <tr class="memitem:a1afabd3008ddf541288b01fe746ab284"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1afabd3008ddf541288b01fe746ab284">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_activation_layer_dataset.xhtml">datasets::LeNet5ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 426 | <tr class="separator:a1afabd3008ddf541288b01fe746ab284"><td class="memSeparator" colspan="2"> </td></tr> |
| 427 | <tr class="memitem:a164c7e1e8e2e4de0ce6282d2b0835dd0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a164c7e1e8e2e4de0ce6282d2b0835dd0">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_activation_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 428 | <tr class="separator:a164c7e1e8e2e4de0ce6282d2b0835dd0"><td class="memSeparator" colspan="2"> </td></tr> |
| 429 | <tr class="memitem:a6ada452bc1053385b8574f38d341ffc9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6ada452bc1053385b8574f38d341ffc9">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_activation_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 430 | <tr class="separator:a6ada452bc1053385b8574f38d341ffc9"><td class="memSeparator" colspan="2"> </td></tr> |
| 431 | <tr class="memitem:a6692a58c12e2eff315715e6c971d0230"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6692a58c12e2eff315715e6c971d0230">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_activation_layer_dataset.xhtml">datasets::SqueezeNetActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 432 | <tr class="separator:a6692a58c12e2eff315715e6c971d0230"><td class="memSeparator" colspan="2"> </td></tr> |
| 433 | <tr class="memitem:a26e3678291b5f879d82808eda0d39bc2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a26e3678291b5f879d82808eda0d39bc2">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_activation_layer_dataset.xhtml">datasets::VGG16ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 434 | <tr class="separator:a26e3678291b5f879d82808eda0d39bc2"><td class="memSeparator" colspan="2"> </td></tr> |
| 435 | <tr class="memitem:ab77581768cf2f7433ba92c2b42c4617e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ab77581768cf2f7433ba92c2b42c4617e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2ActivationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_activation_layer_dataset.xhtml">datasets::YOLOV2ActivationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 436 | <tr class="separator:ab77581768cf2f7433ba92c2b42c4617e"><td class="memSeparator" colspan="2"> </td></tr> |
| 437 | <tr class="memitem:a9e4dd8377091a877cf271bb34f2ed7da"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9e4dd8377091a877cf271bb34f2ed7da">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_batch_normalization_layer_dataset.xhtml">datasets::YOLOV2BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 438 | <tr class="separator:a9e4dd8377091a877cf271bb34f2ed7da"><td class="memSeparator" colspan="2"> </td></tr> |
| 439 | <tr class="memitem:a09be4cd69df94f0929598f03b32001f0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a09be4cd69df94f0929598f03b32001f0">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 440 | <tr class="separator:a09be4cd69df94f0929598f03b32001f0"><td class="memSeparator" colspan="2"> </td></tr> |
| 441 | <tr class="memitem:aa37f90a45822a6f45002ad5fd1e69560"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa37f90a45822a6f45002ad5fd1e69560">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_batch_normalization_layer_dataset.xhtml">datasets::YOLOV2BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 442 | <tr class="separator:aa37f90a45822a6f45002ad5fd1e69560"><td class="memSeparator" colspan="2"> </td></tr> |
| 443 | <tr class="memitem:aa93e94a58a377d2493868e24d746531b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa93e94a58a377d2493868e24d746531b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4BatchNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 444 | <tr class="separator:aa93e94a58a377d2493868e24d746531b"><td class="memSeparator" colspan="2"> </td></tr> |
| 445 | <tr class="memitem:a4fc639ce3410d3609337137d44a68ac9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4fc639ce3410d3609337137d44a68ac9">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml">datasets::AlexNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 446 | <tr class="separator:a4fc639ce3410d3609337137d44a68ac9"><td class="memSeparator" colspan="2"> </td></tr> |
| 447 | <tr class="memitem:a7da7dbada8d8e076c78d1402743b7de9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7da7dbada8d8e076c78d1402743b7de9">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_convolution_layer_dataset.xhtml">datasets::LeNet5ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 448 | <tr class="separator:a7da7dbada8d8e076c78d1402743b7de9"><td class="memSeparator" colspan="2"> </td></tr> |
| 449 | <tr class="memitem:a9c30ac20d9eae69db3b004f36d8efaca"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9c30ac20d9eae69db3b004f36d8efaca">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 450 | <tr class="separator:a9c30ac20d9eae69db3b004f36d8efaca"><td class="memSeparator" colspan="2"> </td></tr> |
| 451 | <tr class="memitem:abe4e6a4ff5c68a5403ec4dc38149d097"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#abe4e6a4ff5c68a5403ec4dc38149d097">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 452 | <tr class="separator:abe4e6a4ff5c68a5403ec4dc38149d097"><td class="memSeparator" colspan="2"> </td></tr> |
| 453 | <tr class="memitem:a2a91a938df2a246bb92811fe90bf5ee0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a2a91a938df2a246bb92811fe90bf5ee0">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 454 | <tr class="separator:a2a91a938df2a246bb92811fe90bf5ee0"><td class="memSeparator" colspan="2"> </td></tr> |
| 455 | <tr class="memitem:a8c86e43926d24040dbbc73e5ad638dea"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8c86e43926d24040dbbc73e5ad638dea">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_convolution_layer_dataset.xhtml">datasets::AlexNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 456 | <tr class="separator:a8c86e43926d24040dbbc73e5ad638dea"><td class="memSeparator" colspan="2"> </td></tr> |
| 457 | <tr class="memitem:a11c4e187683f0687472d48d8f279c8fc"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a11c4e187683f0687472d48d8f279c8fc">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_convolution_layer_dataset.xhtml">datasets::LeNet5ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 458 | <tr class="separator:a11c4e187683f0687472d48d8f279c8fc"><td class="memSeparator" colspan="2"> </td></tr> |
| 459 | <tr class="memitem:a3df552423cbf598c725b9dc615f06315"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a3df552423cbf598c725b9dc615f06315">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 460 | <tr class="separator:a3df552423cbf598c725b9dc615f06315"><td class="memSeparator" colspan="2"> </td></tr> |
| 461 | <tr class="memitem:a4470fc8180788f756fccdb77f9a25886"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4470fc8180788f756fccdb77f9a25886">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 462 | <tr class="separator:a4470fc8180788f756fccdb77f9a25886"><td class="memSeparator" colspan="2"> </td></tr> |
| 463 | <tr class="memitem:a029d80ad64be335749e827cc64efd88c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a029d80ad64be335749e827cc64efd88c">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 464 | <tr class="separator:a029d80ad64be335749e827cc64efd88c"><td class="memSeparator" colspan="2"> </td></tr> |
| 465 | <tr class="memitem:a68166bcb788035f5a6c17fe0c68ae730"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a68166bcb788035f5a6c17fe0c68ae730">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_convolution_layer_dataset.xhtml">datasets::VGG16ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4})))</td></tr> |
| 466 | <tr class="separator:a68166bcb788035f5a6c17fe0c68ae730"><td class="memSeparator" colspan="2"> </td></tr> |
| 467 | <tr class="memitem:a0ca04d4de125be45c16b579b43d53835"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a0ca04d4de125be45c16b579b43d53835">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2ConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_convolution_layer_dataset.xhtml">datasets::YOLOV2ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 468 | <tr class="separator:a0ca04d4de125be45c16b579b43d53835"><td class="memSeparator" colspan="2"> </td></tr> |
| 469 | <tr class="memitem:abe7167f9af260495f067dd8f36251a3b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#abe7167f9af260495f067dd8f36251a3b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml">datasets::AlexNetDirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 470 | <tr class="separator:abe7167f9af260495f067dd8f36251a3b"><td class="memSeparator" colspan="2"> </td></tr> |
| 471 | <tr class="memitem:adc3f7b3f1d06144af1980e8705253583"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#adc3f7b3f1d06144af1980e8705253583">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 472 | <tr class="separator:adc3f7b3f1d06144af1980e8705253583"><td class="memSeparator" colspan="2"> </td></tr> |
| 473 | <tr class="memitem:a9cc3e01ede750344f389191184d4682d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9cc3e01ede750344f389191184d4682d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 474 | <tr class="separator:a9cc3e01ede750344f389191184d4682d"><td class="memSeparator" colspan="2"> </td></tr> |
| 475 | <tr class="memitem:a9c7a41c764eb85334c2d75df71d40cc4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9c7a41c764eb85334c2d75df71d40cc4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 476 | <tr class="separator:a9c7a41c764eb85334c2d75df71d40cc4"><td class="memSeparator" colspan="2"> </td></tr> |
| 477 | <tr class="memitem:ad8c07298bae2d7cd7ace3ad869371b0b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad8c07298bae2d7cd7ace3ad869371b0b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_direct_convolution_layer_dataset.xhtml">datasets::AlexNetDirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 478 | <tr class="separator:ad8c07298bae2d7cd7ace3ad869371b0b"><td class="memSeparator" colspan="2"> </td></tr> |
| 479 | <tr class="memitem:a981537b01124fe1025ab51dfe0dde1ee"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a981537b01124fe1025ab51dfe0dde1ee">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 480 | <tr class="separator:a981537b01124fe1025ab51dfe0dde1ee"><td class="memSeparator" colspan="2"> </td></tr> |
| 481 | <tr class="memitem:a27446bd5b343d26d6028cd2ab34065a6"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a27446bd5b343d26d6028cd2ab34065a6">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 482 | <tr class="separator:a27446bd5b343d26d6028cd2ab34065a6"><td class="memSeparator" colspan="2"> </td></tr> |
| 483 | <tr class="memitem:a13170587db62e123a041d2b8cab82ef8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a13170587db62e123a041d2b8cab82ef8">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetDirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_convolution_layer_dataset.xhtml">datasets::SqueezeNetConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 484 | <tr class="separator:a13170587db62e123a041d2b8cab82ef8"><td class="memSeparator" colspan="2"> </td></tr> |
| 485 | <tr class="memitem:a1f92978c7363135053baa95b94501676"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1f92978c7363135053baa95b94501676">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_convolution_layer_dataset.xhtml">datasets::VGG16ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 486 | <tr class="separator:a1f92978c7363135053baa95b94501676"><td class="memSeparator" colspan="2"> </td></tr> |
| 487 | <tr class="memitem:af3310a6693b1d28b4d474e2a025b8777"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#af3310a6693b1d28b4d474e2a025b8777">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2DirectConvolutionLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_convolution_layer_dataset.xhtml">datasets::YOLOV2ConvolutionLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 488 | <tr class="separator:af3310a6693b1d28b4d474e2a025b8777"><td class="memSeparator" colspan="2"> </td></tr> |
| 489 | <tr class="memitem:a6faf0b684dd2c7e5bb111dd8f8f8c6f1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6faf0b684dd2c7e5bb111dd8f8f8c6f1">REGISTER_FIXTURE_DATA_TEST_CASE</a> (Floor, <a class="el" href="namespacearm__compute_1_1test.xhtml#ac8cf6873b0e9ac7334bcbc042fdc5f02">NEFloorFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_small_shapes.xhtml">datasets::SmallShapes</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 490 | <tr class="separator:a6faf0b684dd2c7e5bb111dd8f8f8c6f1"><td class="memSeparator" colspan="2"> </td></tr> |
| 491 | <tr class="memitem:a16176f104b13866fa9c0379d3fd9ef1f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a16176f104b13866fa9c0379d3fd9ef1f">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetFullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_fully_connected_layer_dataset.xhtml">datasets::AlexNetFullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 492 | <tr class="separator:a16176f104b13866fa9c0379d3fd9ef1f"><td class="memSeparator" colspan="2"> </td></tr> |
| 493 | <tr class="memitem:ad83dbea09b27679e5c1d7950ae035f3a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad83dbea09b27679e5c1d7950ae035f3a">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_fully_connected_layer_dataset.xhtml">datasets::LeNet5FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 494 | <tr class="separator:ad83dbea09b27679e5c1d7950ae035f3a"><td class="memSeparator" colspan="2"> </td></tr> |
| 495 | <tr class="memitem:a597d20f8105ae670eccdc44b0486ad4e"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a597d20f8105ae670eccdc44b0486ad4e">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_fully_connected_layer_dataset.xhtml">datasets::VGG16FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 496 | <tr class="separator:a597d20f8105ae670eccdc44b0486ad4e"><td class="memSeparator" colspan="2"> </td></tr> |
| 497 | <tr class="memitem:a033a42b308036c4e46a8bef7536d88f9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a033a42b308036c4e46a8bef7536d88f9">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 498 | <tr class="separator:a033a42b308036c4e46a8bef7536d88f9"><td class="memSeparator" colspan="2"> </td></tr> |
| 499 | <tr class="memitem:a4b45a5a8afe0c81a4aafef1ba2ba96e8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4b45a5a8afe0c81a4aafef1ba2ba96e8">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 500 | <tr class="separator:a4b45a5a8afe0c81a4aafef1ba2ba96e8"><td class="memSeparator" colspan="2"> </td></tr> |
| 501 | <tr class="memitem:a4325316dca63988d0c63c8e761143557"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4325316dca63988d0c63c8e761143557">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetFullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_fully_connected_layer_dataset.xhtml">datasets::AlexNetFullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 502 | <tr class="separator:a4325316dca63988d0c63c8e761143557"><td class="memSeparator" colspan="2"> </td></tr> |
| 503 | <tr class="memitem:a4ecb06077e2a789221648d0479e61809"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4ecb06077e2a789221648d0479e61809">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_fully_connected_layer_dataset.xhtml">datasets::LeNet5FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 504 | <tr class="separator:a4ecb06077e2a789221648d0479e61809"><td class="memSeparator" colspan="2"> </td></tr> |
| 505 | <tr class="memitem:adeee41f0a436718ca296fc99f2e2a151"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#adeee41f0a436718ca296fc99f2e2a151">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_fully_connected_layer_dataset.xhtml">datasets::VGG16FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 506 | <tr class="separator:adeee41f0a436718ca296fc99f2e2a151"><td class="memSeparator" colspan="2"> </td></tr> |
| 507 | <tr class="memitem:af5e14e7ca5ce517a75fb019b02108797"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#af5e14e7ca5ce517a75fb019b02108797">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 508 | <tr class="separator:af5e14e7ca5ce517a75fb019b02108797"><td class="memSeparator" colspan="2"> </td></tr> |
| 509 | <tr class="memitem:a1d77d86fcdca1b8578756eae70fcac85"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1d77d86fcdca1b8578756eae70fcac85">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4FullyConnectedLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_fully_connected_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 510 | <tr class="separator:a1d77d86fcdca1b8578756eae70fcac85"><td class="memSeparator" colspan="2"> </td></tr> |
| 511 | <tr class="memitem:a1d515029981b77ba7d02f20251013a3b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1d515029981b77ba7d02f20251013a3b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1GEMM, <a class="el" href="namespacearm__compute_1_1test.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d">NEGEMMFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_g_e_m_m_dataset.xhtml">datasets::GoogLeNetInceptionV1GEMMDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 512 | <tr class="separator:a1d515029981b77ba7d02f20251013a3b"><td class="memSeparator" colspan="2"> </td></tr> |
| 513 | <tr class="memitem:a5dbda869f12c5e1ffa17a2dce7e82609"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a5dbda869f12c5e1ffa17a2dce7e82609">REGISTER_FIXTURE_DATA_TEST_CASE</a> (MatrixMultiplyGEMM, <a class="el" href="namespacearm__compute_1_1test.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d">NEGEMMFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_matrix_multiply_g_e_m_m_dataset.xhtml">datasets::MatrixMultiplyGEMMDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 514 | <tr class="separator:a5dbda869f12c5e1ffa17a2dce7e82609"><td class="memSeparator" colspan="2"> </td></tr> |
| 515 | <tr class="memitem:ac9eaa20c5215f43c16202896b7ea9118"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac9eaa20c5215f43c16202896b7ea9118">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogleNetGEMM, <a class="el" href="namespacearm__compute_1_1test.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d">NEGEMMFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_google_net_g_e_m_m_dataset.xhtml">datasets::GoogleNetGEMMDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>))</td></tr> |
| 516 | <tr class="separator:ac9eaa20c5215f43c16202896b7ea9118"><td class="memSeparator" colspan="2"> </td></tr> |
| 517 | <tr class="memitem:a3d815590d056717dde89027c469fba5a"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a3d815590d056717dde89027c469fba5a">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#acc2c4764a300b505b50e9ba0642eff2b">NENormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml">datasets::AlexNetNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 518 | <tr class="separator:a3d815590d056717dde89027c469fba5a"><td class="memSeparator" colspan="2"> </td></tr> |
| 519 | <tr class="memitem:a04a6f03a4f0b85f507735cd409a8b74d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a04a6f03a4f0b85f507735cd409a8b74d">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1NormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#acc2c4764a300b505b50e9ba0642eff2b">NENormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1NormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 520 | <tr class="separator:a04a6f03a4f0b85f507735cd409a8b74d"><td class="memSeparator" colspan="2"> </td></tr> |
| 521 | <tr class="memitem:a962c45074ad2b94899bc7003b3db0509"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a962c45074ad2b94899bc7003b3db0509">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetNormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#acc2c4764a300b505b50e9ba0642eff2b">NENormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_normalization_layer_dataset.xhtml">datasets::AlexNetNormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 522 | <tr class="separator:a962c45074ad2b94899bc7003b3db0509"><td class="memSeparator" colspan="2"> </td></tr> |
| 523 | <tr class="memitem:ab17878545b689878d626f8e2298d2b1b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ab17878545b689878d626f8e2298d2b1b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1NormalizationLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#acc2c4764a300b505b50e9ba0642eff2b">NENormalizationLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1NormalizationLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 524 | <tr class="separator:ab17878545b689878d626f8e2298d2b1b"><td class="memSeparator" colspan="2"> </td></tr> |
| 525 | <tr class="memitem:af33a8fe45c20501be3c2fa7aaa32bf26"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#af33a8fe45c20501be3c2fa7aaa32bf26">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_pooling_layer_dataset.xhtml">datasets::AlexNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 526 | <tr class="separator:af33a8fe45c20501be3c2fa7aaa32bf26"><td class="memSeparator" colspan="2"> </td></tr> |
| 527 | <tr class="memitem:a7d7ea7b966b70d0931772f51a2cfcdb0"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a7d7ea7b966b70d0931772f51a2cfcdb0">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_pooling_layer_dataset.xhtml">datasets::LeNet5PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 528 | <tr class="separator:a7d7ea7b966b70d0931772f51a2cfcdb0"><td class="memSeparator" colspan="2"> </td></tr> |
| 529 | <tr class="memitem:ac4a14a4ebd0a6067fa657e06d6e6d9ec"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac4a14a4ebd0a6067fa657e06d6e6d9ec">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 530 | <tr class="separator:ac4a14a4ebd0a6067fa657e06d6e6d9ec"><td class="memSeparator" colspan="2"> </td></tr> |
| 531 | <tr class="memitem:a97400b4e200d00d86169b2afc584d2e3"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a97400b4e200d00d86169b2afc584d2e3">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 532 | <tr class="separator:a97400b4e200d00d86169b2afc584d2e3"><td class="memSeparator" colspan="2"> </td></tr> |
| 533 | <tr class="memitem:aa7edcfdce59bb3cb0f1ed784a28fb6d2"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa7edcfdce59bb3cb0f1ed784a28fb6d2">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_pooling_layer_dataset.xhtml">datasets::SqueezeNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 534 | <tr class="separator:aa7edcfdce59bb3cb0f1ed784a28fb6d2"><td class="memSeparator" colspan="2"> </td></tr> |
| 535 | <tr class="memitem:ab644feafdb4a10f39c7e4acca32744eb"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ab644feafdb4a10f39c7e4acca32744eb">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_pooling_layer_dataset.xhtml">datasets::VGG16PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 536 | <tr class="separator:ab644feafdb4a10f39c7e4acca32744eb"><td class="memSeparator" colspan="2"> </td></tr> |
| 537 | <tr class="memitem:a49f6de6126e559d77c77ec1252ead9e1"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a49f6de6126e559d77c77ec1252ead9e1">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_pooling_layer_dataset.xhtml">datasets::YOLOV2PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches", 1)))</td></tr> |
| 538 | <tr class="separator:a49f6de6126e559d77c77ec1252ead9e1"><td class="memSeparator" colspan="2"> </td></tr> |
| 539 | <tr class="memitem:a8050efac909e6e8fce5791d2205fe0a8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8050efac909e6e8fce5791d2205fe0a8">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_alex_net_pooling_layer_dataset.xhtml">datasets::AlexNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 540 | <tr class="separator:a8050efac909e6e8fce5791d2205fe0a8"><td class="memSeparator" colspan="2"> </td></tr> |
| 541 | <tr class="memitem:a0a1da94fb11977ec74784861c2c56246"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a0a1da94fb11977ec74784861c2c56246">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_le_net5_pooling_layer_dataset.xhtml">datasets::LeNet5PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 542 | <tr class="separator:a0a1da94fb11977ec74784861c2c56246"><td class="memSeparator" colspan="2"> </td></tr> |
| 543 | <tr class="memitem:ad5101e30d9b5306231c7ed2ce71f350b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad5101e30d9b5306231c7ed2ce71f350b">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV1PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV1PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 544 | <tr class="separator:ad5101e30d9b5306231c7ed2ce71f350b"><td class="memSeparator" colspan="2"> </td></tr> |
| 545 | <tr class="memitem:ad0b2b0d1564cc6c5ac951a7b8e59bda8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad0b2b0d1564cc6c5ac951a7b8e59bda8">REGISTER_FIXTURE_DATA_TEST_CASE</a> (GoogLeNetInceptionV4PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_pooling_layer_dataset.xhtml">datasets::GoogLeNetInceptionV4PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 546 | <tr class="separator:ad0b2b0d1564cc6c5ac951a7b8e59bda8"><td class="memSeparator" colspan="2"> </td></tr> |
| 547 | <tr class="memitem:aa973f66482fdadbd2ab72cdb6face4b5"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa973f66482fdadbd2ab72cdb6face4b5">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SqueezeNetPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_squeeze_net_pooling_layer_dataset.xhtml">datasets::SqueezeNetPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 548 | <tr class="separator:aa973f66482fdadbd2ab72cdb6face4b5"><td class="memSeparator" colspan="2"> </td></tr> |
| 549 | <tr class="memitem:a9adba78f24e5c87b2c95a1c5e23883e9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9adba78f24e5c87b2c95a1c5e23883e9">REGISTER_FIXTURE_DATA_TEST_CASE</a> (VGG16PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_v_g_g16_pooling_layer_dataset.xhtml">datasets::VGG16PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 550 | <tr class="separator:a9adba78f24e5c87b2c95a1c5e23883e9"><td class="memSeparator" colspan="2"> </td></tr> |
| 551 | <tr class="memitem:a03474ce6764bea95de0edb583d281017"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a03474ce6764bea95de0edb583d281017">REGISTER_FIXTURE_DATA_TEST_CASE</a> (YOLOV2PoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfad791cd54143e331164a2b216451a5dd3">framework::DatasetMode::NIGHTLY</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_y_o_l_o_v2_pooling_layer_dataset.xhtml">datasets::YOLOV2PoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a>), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{4, 8})))</td></tr> |
| 552 | <tr class="separator:a03474ce6764bea95de0edb583d281017"><td class="memSeparator" colspan="2"> </td></tr> |
| 553 | <tr class="memitem:aa14390b7bed93ce327f5dedd89fc8928"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa14390b7bed93ce327f5dedd89fc8928">REGISTER_FIXTURE_DATA_TEST_CASE</a> (SmallROIPoolingLayer, <a class="el" href="namespacearm__compute_1_1test.xhtml#a7ad74154ac625702bef70b90243ae63f">NEROIPoolingLayerFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(<a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_small_r_o_i_pooling_layer_dataset.xhtml">datasets::SmallROIPoolingLayerDataset</a>(), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("DataType",{DataType::F32})), <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 554 | <tr class="separator:aa14390b7bed93ce327f5dedd89fc8928"><td class="memSeparator" colspan="2"> </td></tr> |
| 555 | <tr class="memitem:a4fa3f7aa92292c25a9876a3b1cded7c9"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4fa3f7aa92292c25a9876a3b1cded7c9">REGISTER_FIXTURE_DATA_TEST_CASE</a> (AlexNet, <a class="el" href="namespacearm__compute_1_1test.xhtml#ae0e8bcf3b0ed15e708b4a38febfdb84e">NEAlexNetFixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a6f4fa4bb0583f29e77138fb1e7d77411">framework::dataset::combine</a>(alex_net_data_types, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8})))</td></tr> |
| 556 | <tr class="separator:a4fa3f7aa92292c25a9876a3b1cded7c9"><td class="memSeparator" colspan="2"> </td></tr> |
| 557 | <tr class="memitem:a9ba464da0fc25dbd0cb96fe5c61494c4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9ba464da0fc25dbd0cb96fe5c61494c4">REGISTER_FIXTURE_DATA_TEST_CASE</a> (LeNet5, <a class="el" href="namespacearm__compute_1_1test.xhtml#a6a292ad5fedcc7dea6c6eb1be6d4c0d3">NELeNet5Fixture</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework.xhtml#a7edf31944a6144ffd493d2f9a7bfb5cfa5fb1f955b45e38e31789286a1790398d">framework::DatasetMode::ALL</a>, <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("Batches",{1, 4, 8}))</td></tr> |
| 558 | <tr class="separator:a9ba464da0fc25dbd0cb96fe5c61494c4"><td class="memSeparator" colspan="2"> </td></tr> |
| 559 | <tr class="memitem:a629633220b1b91a871c57b679b9f06e3"><td class="memTemplParams" colspan="2">template<typename O , typename F , typename... As> </td></tr> |
| 560 | <tr class="memitem:a629633220b1b91a871c57b679b9f06e3"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a629633220b1b91a871c57b679b9f06e3">apply</a> (O *obj, F &&func, const std::tuple< As...> &args)</td></tr> |
| 561 | <tr class="separator:a629633220b1b91a871c57b679b9f06e3"><td class="memSeparator" colspan="2"> </td></tr> |
| 562 | <tr class="memitem:aa18932675cbb5eb9c9dbf8ff4d7106c7"><td class="memTemplParams" colspan="2">template<typename T , typename std::enable_if< std::is_same< typename T::value_type, std::string >::value, int >::type = 0> </td></tr> |
| 563 | <tr class="memitem:aa18932675cbb5eb9c9dbf8ff4d7106c7"><td class="memTemplItemLeft" align="right" valign="top">std::string </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa18932675cbb5eb9c9dbf8ff4d7106c7">join</a> (T first, T last, const std::string &separator)</td></tr> |
| 564 | <tr class="memdesc:aa18932675cbb5eb9c9dbf8ff4d7106c7"><td class="mdescLeft"> </td><td class="mdescRight">Helper function to concatenate multiple strings. <a href="#aa18932675cbb5eb9c9dbf8ff4d7106c7">More...</a><br/></td></tr> |
| 565 | <tr class="separator:aa18932675cbb5eb9c9dbf8ff4d7106c7"><td class="memSeparator" colspan="2"> </td></tr> |
| 566 | <tr class="memitem:a898a0423aace06af0f3a18a26a972a1a"><td class="memTemplParams" colspan="2">template<typename T , typename UnaryOp > </td></tr> |
| 567 | <tr class="memitem:a898a0423aace06af0f3a18a26a972a1a"><td class="memTemplItemLeft" align="right" valign="top">std::string </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a898a0423aace06af0f3a18a26a972a1a">join</a> (T &&first, T &&last, const std::string &separator, UnaryOp &&op)</td></tr> |
| 568 | <tr class="memdesc:a898a0423aace06af0f3a18a26a972a1a"><td class="mdescLeft"> </td><td class="mdescRight">Helper function to concatenate multiple values. <a href="#a898a0423aace06af0f3a18a26a972a1a">More...</a><br/></td></tr> |
| 569 | <tr class="separator:a898a0423aace06af0f3a18a26a972a1a"><td class="memSeparator" colspan="2"> </td></tr> |
| 570 | <tr class="memitem:a69835710fc772315f4e65ce156034530"><td class="memTemplParams" colspan="2">template<typename T , typename std::enable_if< std::is_arithmetic< typename T::value_type >::value, int >::type = 0> </td></tr> |
| 571 | <tr class="memitem:a69835710fc772315f4e65ce156034530"><td class="memTemplItemLeft" align="right" valign="top">std::string </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a69835710fc772315f4e65ce156034530">join</a> (T &&first, T &&last, const std::string &separator)</td></tr> |
| 572 | <tr class="memdesc:a69835710fc772315f4e65ce156034530"><td class="mdescLeft"> </td><td class="mdescRight">Helper function to concatenate multiple values. <a href="#a69835710fc772315f4e65ce156034530">More...</a><br/></td></tr> |
| 573 | <tr class="separator:a69835710fc772315f4e65ce156034530"><td class="memSeparator" colspan="2"> </td></tr> |
| 574 | <tr class="memitem:a5b67cbf475b1e1d3bec9b0b937fdafac"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a5b67cbf475b1e1d3bec9b0b937fdafac">tolower</a> (std::string string)</td></tr> |
| 575 | <tr class="memdesc:a5b67cbf475b1e1d3bec9b0b937fdafac"><td class="mdescLeft"> </td><td class="mdescRight">Convert string to lower case. <a href="#a5b67cbf475b1e1d3bec9b0b937fdafac">More...</a><br/></td></tr> |
| 576 | <tr class="separator:a5b67cbf475b1e1d3bec9b0b937fdafac"><td class="memSeparator" colspan="2"> </td></tr> |
| 577 | <tr class="memitem:a8939810976531494e8db1f491bf61a35"><td class="memTemplParams" colspan="2">template<typename D , typename T , typename... Ts> </td></tr> |
| 578 | <tr class="memitem:a8939810976531494e8db1f491bf61a35"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a8939810976531494e8db1f491bf61a35">fill_tensors</a> (D &&dist, std::initializer_list< int > seeds, T &&tensor, Ts &&...other_tensors)</td></tr> |
| 579 | <tr class="separator:a8939810976531494e8db1f491bf61a35"><td class="memSeparator" colspan="2"> </td></tr> |
| 580 | <tr class="memitem:a28edc8880596d14c099f3c2509efc8b3"><td class="memTemplParams" colspan="2">template<typename U > </td></tr> |
| 581 | <tr class="memitem:a28edc8880596d14c099f3c2509efc8b3"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a> (<a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a>< U > &tensor1, <a class="el" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor</a>< U > &tensor2)</td></tr> |
| 582 | <tr class="separator:a28edc8880596d14c099f3c2509efc8b3"><td class="memSeparator" colspan="2"> </td></tr> |
| 583 | <tr class="memitem:af4bcf30f8c56f547f66d61c7c5ae01db"><td class="memTemplParams" colspan="2">template<typename T , typename = typename std::enable_if<std::is_floating_point<T>::value>::type> </td></tr> |
| 584 | <tr class="memitem:af4bcf30f8c56f547f66d61c7c5ae01db"><td class="memTemplItemLeft" align="right" valign="top">T </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#af4bcf30f8c56f547f66d61c7c5ae01db">round_half_up</a> (T <a class="el" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>)</td></tr> |
| 585 | <tr class="memdesc:af4bcf30f8c56f547f66d61c7c5ae01db"><td class="mdescLeft"> </td><td class="mdescRight">Round floating-point value with half value rounding to positive infinity. <a href="#af4bcf30f8c56f547f66d61c7c5ae01db">More...</a><br/></td></tr> |
| 586 | <tr class="separator:af4bcf30f8c56f547f66d61c7c5ae01db"><td class="memSeparator" colspan="2"> </td></tr> |
| 587 | <tr class="memitem:ad93bb148a873f19ad7692756e59617f4"><td class="memTemplParams" colspan="2">template<typename T , typename = typename std::enable_if<std::is_floating_point<T>::value>::type> </td></tr> |
| 588 | <tr class="memitem:ad93bb148a873f19ad7692756e59617f4"><td class="memTemplItemLeft" align="right" valign="top">T </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad93bb148a873f19ad7692756e59617f4">round_half_even</a> (T <a class="el" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>, T epsilon=std::numeric_limits< T >::epsilon())</td></tr> |
| 589 | <tr class="memdesc:ad93bb148a873f19ad7692756e59617f4"><td class="mdescLeft"> </td><td class="mdescRight">Round floating-point value with half value rounding to nearest even. <a href="#ad93bb148a873f19ad7692756e59617f4">More...</a><br/></td></tr> |
| 590 | <tr class="separator:ad93bb148a873f19ad7692756e59617f4"><td class="memSeparator" colspan="2"> </td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 591 | <tr class="memitem:aa337ab76176f3c4193642ac6de3a61cf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aa337ab76176f3c4193642ac6de3a61cf">get_format_for_channel</a> (<a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)</td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 592 | <tr class="memdesc:aa337ab76176f3c4193642ac6de3a61cf"><td class="mdescLeft"> </td><td class="mdescRight">Look up the format corresponding to a channel. <a href="#aa337ab76176f3c4193642ac6de3a61cf">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 593 | <tr class="separator:aa337ab76176f3c4193642ac6de3a61cf"><td class="memSeparator" colspan="2"> </td></tr> |
| 594 | <tr class="memitem:ac7dbe33793790fc37a5eda11ed6b0273"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac7dbe33793790fc37a5eda11ed6b0273">get_channel_format</a> (<a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455a">Channel</a> channel)</td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 595 | <tr class="memdesc:ac7dbe33793790fc37a5eda11ed6b0273"><td class="mdescLeft"> </td><td class="mdescRight">Return the format of a channel. <a href="#ac7dbe33793790fc37a5eda11ed6b0273">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 596 | <tr class="separator:ac7dbe33793790fc37a5eda11ed6b0273"><td class="memSeparator" colspan="2"> </td></tr> |
| 597 | <tr class="memitem:a1ebbb23b0094d47c51226d58e17e6447"><td class="memTemplParams" colspan="2">template<typename F , typename T > </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 598 | <tr class="memitem:a1ebbb23b0094d47c51226d58e17e6447"><td class="memTemplItemLeft" align="right" valign="top">T </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1ebbb23b0094d47c51226d58e17e6447">foldl</a> (F &&, const T &<a class="el" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>)</td></tr> |
| 599 | <tr class="memdesc:a1ebbb23b0094d47c51226d58e17e6447"><td class="mdescLeft"> </td><td class="mdescRight">Base case of foldl. <a href="#a1ebbb23b0094d47c51226d58e17e6447">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 600 | <tr class="separator:a1ebbb23b0094d47c51226d58e17e6447"><td class="memSeparator" colspan="2"> </td></tr> |
| 601 | <tr class="memitem:ad933f996ccb22854ae56dd86de8cbbfe"><td class="memTemplParams" colspan="2">template<typename F , typename T , typename U > </td></tr> |
| 602 | <tr class="memitem:ad933f996ccb22854ae56dd86de8cbbfe"><td class="memTemplItemLeft" align="right" valign="top">auto </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ad933f996ccb22854ae56dd86de8cbbfe">foldl</a> (F &&func, T &&value1, U &&value2) -> decltype(func(value1, value2))</td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 603 | <tr class="memdesc:ad933f996ccb22854ae56dd86de8cbbfe"><td class="mdescLeft"> </td><td class="mdescRight">Base case of foldl. <a href="#ad933f996ccb22854ae56dd86de8cbbfe">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 604 | <tr class="separator:ad933f996ccb22854ae56dd86de8cbbfe"><td class="memSeparator" colspan="2"> </td></tr> |
| 605 | <tr class="memitem:a89322cccde5e0a27d3a41085d3fd366c"><td class="memTemplParams" colspan="2">template<typename F , typename I , typename T , typename... Vs> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 606 | <tr class="memitem:a89322cccde5e0a27d3a41085d3fd366c"><td class="memTemplItemLeft" align="right" valign="top">I </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a89322cccde5e0a27d3a41085d3fd366c">foldl</a> (F &&func, I &&initial, T &&<a class="el" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>, Vs &&...values)</td></tr> |
| 607 | <tr class="memdesc:a89322cccde5e0a27d3a41085d3fd366c"><td class="mdescLeft"> </td><td class="mdescRight">Fold left. <a href="#a89322cccde5e0a27d3a41085d3fd366c">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 608 | <tr class="separator:a89322cccde5e0a27d3a41085d3fd366c"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 609 | <tr class="memitem:a4c9ad143c34306817986409ffb1dbd40"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4c9ad143c34306817986409ffb1dbd40">shape_to_valid_region</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape, bool border_undefined=false, <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a> border_size=<a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>(0))</td></tr> |
| 610 | <tr class="memdesc:a4c9ad143c34306817986409ffb1dbd40"><td class="mdescLeft"> </td><td class="mdescRight">Create a valid region based on tensor shape, border mode and border size. <a href="#a4c9ad143c34306817986409ffb1dbd40">More...</a><br/></td></tr> |
| 611 | <tr class="separator:a4c9ad143c34306817986409ffb1dbd40"><td class="memSeparator" colspan="2"> </td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 612 | <tr class="memitem:a1e6934e95738573214c2ce1d6648d116"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 613 | <tr class="memitem:a1e6934e95738573214c2ce1d6648d116"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a1e6934e95738573214c2ce1d6648d116">store_value_with_data_type</a> (void *ptr, T <a class="el" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type)</td></tr> |
| 614 | <tr class="memdesc:a1e6934e95738573214c2ce1d6648d116"><td class="mdescLeft"> </td><td class="mdescRight">Write the value after casting the pointer according to <code>data_type</code>. <a href="#a1e6934e95738573214c2ce1d6648d116">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 615 | <tr class="separator:a1e6934e95738573214c2ce1d6648d116"><td class="memSeparator" colspan="2"> </td></tr> |
| 616 | <tr class="memitem:a4965b2f6821e0cf0afee738158bd8377"><td class="memTemplParams" colspan="2">template<typename U , typename T > </td></tr> |
| 617 | <tr class="memitem:a4965b2f6821e0cf0afee738158bd8377"><td class="memTemplItemLeft" align="right" valign="top">T </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a4965b2f6821e0cf0afee738158bd8377">saturate_cast</a> (T val)</td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 618 | <tr class="memdesc:a4965b2f6821e0cf0afee738158bd8377"><td class="mdescLeft"> </td><td class="mdescRight">Saturate a value of type T against the numeric limits of type U. <a href="#a4965b2f6821e0cf0afee738158bd8377">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 619 | <tr class="separator:a4965b2f6821e0cf0afee738158bd8377"><td class="memSeparator" colspan="2"> </td></tr> |
| 620 | <tr class="memitem:a24d8c0391cfa38e78969b6ad97c0ff09"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a24d8c0391cfa38e78969b6ad97c0ff09">index2coord</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, int index)</td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 621 | <tr class="memdesc:a24d8c0391cfa38e78969b6ad97c0ff09"><td class="mdescLeft"> </td><td class="mdescRight">Convert a linear index into n-dimensional coordinates. <a href="#a24d8c0391cfa38e78969b6ad97c0ff09">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 622 | <tr class="separator:a24d8c0391cfa38e78969b6ad97c0ff09"><td class="memSeparator" colspan="2"> </td></tr> |
| 623 | <tr class="memitem:a9be4cb7e6ee20063a4a10bc3abb750b9"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a9be4cb7e6ee20063a4a10bc3abb750b9">coord2index</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)</td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 624 | <tr class="memdesc:a9be4cb7e6ee20063a4a10bc3abb750b9"><td class="mdescLeft"> </td><td class="mdescRight">Linearise the given coordinate. <a href="#a9be4cb7e6ee20063a4a10bc3abb750b9">More...</a><br/></td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 625 | <tr class="separator:a9be4cb7e6ee20063a4a10bc3abb750b9"><td class="memSeparator" colspan="2"> </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 626 | <tr class="memitem:a856b55fc20ddcbdbeb84c35ae27bedac"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a856b55fc20ddcbdbeb84c35ae27bedac">is_in_valid_region</a> (const <a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &valid_region, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> coord)</td></tr> |
| 627 | <tr class="memdesc:a856b55fc20ddcbdbeb84c35ae27bedac"><td class="mdescLeft"> </td><td class="mdescRight">Check if a coordinate is within a valid region. <a href="#a856b55fc20ddcbdbeb84c35ae27bedac">More...</a><br/></td></tr> |
| 628 | <tr class="separator:a856b55fc20ddcbdbeb84c35ae27bedac"><td class="memSeparator" colspan="2"> </td></tr> |
| 629 | <tr class="memitem:a2ce249581879425cc66db8d364c838f3"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| 630 | <tr class="memitem:a2ce249581879425cc66db8d364c838f3"><td class="memTemplItemLeft" align="right" valign="top">T </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a2ce249581879425cc66db8d364c838f3">create_tensor</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type, int num_channels=1, int fixed_point_position=0)</td></tr> |
| 631 | <tr class="memdesc:a2ce249581879425cc66db8d364c838f3"><td class="mdescLeft"> </td><td class="mdescRight">Create and initialize a tensor of the given type. <a href="#a2ce249581879425cc66db8d364c838f3">More...</a><br/></td></tr> |
| 632 | <tr class="separator:a2ce249581879425cc66db8d364c838f3"><td class="memSeparator" colspan="2"> </td></tr> |
| 633 | <tr class="memitem:ac7324cc960068b65c558b7d25dfe2914"><td class="memItemLeft" align="right" valign="top">std::vector< <a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac7324cc960068b65c558b7d25dfe2914">generate_random_rois</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape, const <a class="el" href="classarm__compute_1_1_r_o_i_pooling_layer_info.xhtml">ROIPoolingLayerInfo</a> &pool_info, unsigned int num_rois, std::random_device::result_type seed)</td></tr> |
| 634 | <tr class="memdesc:ac7324cc960068b65c558b7d25dfe2914"><td class="mdescLeft"> </td><td class="mdescRight">Create a vector of random ROIs. <a href="#ac7324cc960068b65c558b7d25dfe2914">More...</a><br/></td></tr> |
| 635 | <tr class="separator:ac7324cc960068b65c558b7d25dfe2914"><td class="memSeparator" colspan="2"> </td></tr> |
| 636 | <tr class="memitem:ac35e7a1ad467f5fe8620cbbc5793d53b"><td class="memTemplParams" colspan="2">template<typename T , typename ArrayAccessor_T > </td></tr> |
| 637 | <tr class="memitem:ac35e7a1ad467f5fe8620cbbc5793d53b"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ac35e7a1ad467f5fe8620cbbc5793d53b">fill_array</a> (ArrayAccessor_T &&array, const std::vector< T > &v)</td></tr> |
| 638 | <tr class="separator:ac35e7a1ad467f5fe8620cbbc5793d53b"><td class="memSeparator" colspan="2"> </td></tr> |
| 639 | <tr class="memitem:ae47155d6186155ec4da9295764b3c05a"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae47155d6186155ec4da9295764b3c05a">get_typestring</a> (<a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type)</td></tr> |
| 640 | <tr class="memdesc:ae47155d6186155ec4da9295764b3c05a"><td class="mdescLeft"> </td><td class="mdescRight">Obtain numpy type string from DataType. <a href="#ae47155d6186155ec4da9295764b3c05a">More...</a><br/></td></tr> |
| 641 | <tr class="separator:ae47155d6186155ec4da9295764b3c05a"><td class="memSeparator" colspan="2"> </td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 642 | </table><table class="memberdecls"> |
| 643 | <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a> |
| 644 | Variables</h2></td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 645 | <tr class="memitem:aab9a2ff74a27ae837d32a79a38952228"><td class="memItemLeft" align="right" valign="top">const auto </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#aab9a2ff74a27ae837d32a79a38952228">data_types</a> = <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("DataType", { DataType::F32 })</td></tr> |
| 646 | <tr class="separator:aab9a2ff74a27ae837d32a79a38952228"><td class="memSeparator" colspan="2"> </td></tr> |
| 647 | <tr class="memitem:a71326f0909d77386e29b511e1990a11f"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml">AssetsLibrary</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a></td></tr> |
| 648 | <tr class="separator:a71326f0909d77386e29b511e1990a11f"><td class="memSeparator" colspan="2"> </td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 649 | </table> |
| 650 | <h2 class="groupheader">Typedef Documentation</h2> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 651 | <a class="anchor" id="a74a10374253178ae54e1baab173698a1"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 652 | <div class="memitem"> |
| 653 | <div class="memproto"> |
| 654 | <table class="memname"> |
| 655 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 656 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a74a10374253178ae54e1baab173698a1">CLActivationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">ActivationLayerFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 657 | </tr> |
| 658 | </table> |
| 659 | </div><div class="memdoc"> |
| 660 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 661 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_activation_layer_8cpp_source.xhtml#l00051">51</a> of file <a class="el" href="benchmark_2_c_l_2_activation_layer_8cpp_source.xhtml">ActivationLayer.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 662 | |
| 663 | </div> |
| 664 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 665 | <a class="anchor" id="aa631c5ec3d7cb3dab649f994e9e9217d"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 666 | <div class="memitem"> |
| 667 | <div class="memproto"> |
| 668 | <table class="memname"> |
| 669 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 670 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#aa631c5ec3d7cb3dab649f994e9e9217d">CLAlexNetFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fixture.xhtml">AlexNetFixture</a><<a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_sub_tensor.xhtml">CLSubTensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="el" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml">CLConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer.xhtml">CLNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer.xhtml">CLPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_softmax_layer.xhtml">CLSoftmaxLayer</a>></td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 671 | </tr> |
| 672 | </table> |
| 673 | </div><div class="memdoc"> |
| 674 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 675 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_s_y_s_t_e_m_2_alex_net_8cpp_source.xhtml#l00056">56</a> of file <a class="el" href="benchmark_2_c_l_2_s_y_s_t_e_m_2_alex_net_8cpp_source.xhtml">AlexNet.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 676 | |
| 677 | </div> |
| 678 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 679 | <a class="anchor" id="af80ea91532f0ebdccb3f1d8e507a98ad"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 680 | <div class="memitem"> |
| 681 | <div class="memproto"> |
| 682 | <table class="memname"> |
| 683 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 684 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#af80ea91532f0ebdccb3f1d8e507a98ad">CLBatchNormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">BatchNormalizationLayerFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_batch_normalization_layer.xhtml">CLBatchNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 685 | </tr> |
| 686 | </table> |
| 687 | </div><div class="memdoc"> |
| 688 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 689 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_batch_normalization_layer_8cpp_source.xhtml#l00046">46</a> of file <a class="el" href="benchmark_2_c_l_2_batch_normalization_layer_8cpp_source.xhtml">BatchNormalizationLayer.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 690 | |
| 691 | </div> |
| 692 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 693 | <a class="anchor" id="ad275d75e1b63f91fdc59afe026688b12"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 694 | <div class="memitem"> |
| 695 | <div class="memproto"> |
| 696 | <table class="memname"> |
| 697 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 698 | <td class="memname">typedef <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml">ConvolutionLayerFixture</a>< <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a> > <a class="el" href="namespacearm__compute_1_1test.xhtml#ad275d75e1b63f91fdc59afe026688b12">CLConvolutionLayerFixture</a></td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 699 | </tr> |
| 700 | </table> |
| 701 | </div><div class="memdoc"> |
| 702 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 703 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00051">51</a> of file <a class="el" href="benchmark_2_c_l_2_convolution_layer_8cpp_source.xhtml">ConvolutionLayer.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 704 | |
| 705 | </div> |
| 706 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 707 | <a class="anchor" id="a1e3870d2e47dfd84b259bdbff0a6f5f8"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 708 | <div class="memitem"> |
| 709 | <div class="memproto"> |
| 710 | <table class="memname"> |
| 711 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 712 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a1e3870d2e47dfd84b259bdbff0a6f5f8">CLDepthwiseConvolutionFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_depthwise_convolution_fixture.xhtml">DepthwiseConvolutionFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_convolution.xhtml">CLDepthwiseConvolution</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 713 | </tr> |
| 714 | </table> |
| 715 | </div><div class="memdoc"> |
| 716 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 717 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_depthwise_convolution_8cpp_source.xhtml#l00041">41</a> of file <a class="el" href="benchmark_2_c_l_2_depthwise_convolution_8cpp_source.xhtml">DepthwiseConvolution.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 718 | |
| 719 | </div> |
| 720 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 721 | <a class="anchor" id="adc07e82b4049d653c965af2606a7d70f"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 722 | <div class="memitem"> |
| 723 | <div class="memproto"> |
| 724 | <table class="memname"> |
| 725 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 726 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#adc07e82b4049d653c965af2606a7d70f">CLDepthwiseSeparableConvolutionLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_depthwise_separable_convolution_layer_fixture.xhtml">DepthwiseSeparableConvolutionLayerFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_depthwise_separable_convolution_layer.xhtml">CLDepthwiseSeparableConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 727 | </tr> |
| 728 | </table> |
| 729 | </div><div class="memdoc"> |
| 730 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 731 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_depthwise_separable_convolution_layer_8cpp_source.xhtml#l00041">41</a> of file <a class="el" href="benchmark_2_c_l_2_depthwise_separable_convolution_layer_8cpp_source.xhtml">DepthwiseSeparableConvolutionLayer.cpp</a>.</p> |
| 732 | |
| 733 | </div> |
| 734 | </div> |
| 735 | <a class="anchor" id="a4a14e383a632057e99845c74a72a6454"></a> |
| 736 | <div class="memitem"> |
| 737 | <div class="memproto"> |
| 738 | <table class="memname"> |
| 739 | <tr> |
| 740 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a4a14e383a632057e99845c74a72a6454">CLFloorFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_floor_fixture.xhtml">FloorFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_floor.xhtml">CLFloor</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| 741 | </tr> |
| 742 | </table> |
| 743 | </div><div class="memdoc"> |
| 744 | |
| 745 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_floor_8cpp_source.xhtml#l00045">45</a> of file <a class="el" href="benchmark_2_c_l_2_floor_8cpp_source.xhtml">Floor.cpp</a>.</p> |
| 746 | |
| 747 | </div> |
| 748 | </div> |
| 749 | <a class="anchor" id="a4c33955ce3f6ed3a4d756cdebf6c8b3a"></a> |
| 750 | <div class="memitem"> |
| 751 | <div class="memproto"> |
| 752 | <table class="memname"> |
| 753 | <tr> |
| 754 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a4c33955ce3f6ed3a4d756cdebf6c8b3a">CLFullyConnectedLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml">FullyConnectedLayerFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| 755 | </tr> |
| 756 | </table> |
| 757 | </div><div class="memdoc"> |
| 758 | |
| 759 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_fully_connected_layer_8cpp_source.xhtml#l00049">49</a> of file <a class="el" href="benchmark_2_c_l_2_fully_connected_layer_8cpp_source.xhtml">FullyConnectedLayer.cpp</a>.</p> |
| 760 | |
| 761 | </div> |
| 762 | </div> |
| 763 | <a class="anchor" id="abf07c2bf7d8e9c76e146f9b21bee88fd"></a> |
| 764 | <div class="memitem"> |
| 765 | <div class="memproto"> |
| 766 | <table class="memname"> |
| 767 | <tr> |
| 768 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#abf07c2bf7d8e9c76e146f9b21bee88fd">CLGEMMFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml">GEMMFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| 769 | </tr> |
| 770 | </table> |
| 771 | </div><div class="memdoc"> |
| 772 | |
| 773 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_g_e_m_m_8cpp_source.xhtml#l00046">46</a> of file <a class="el" href="benchmark_2_c_l_2_g_e_m_m_8cpp_source.xhtml">GEMM.cpp</a>.</p> |
| 774 | |
| 775 | </div> |
| 776 | </div> |
| 777 | <a class="anchor" id="ae3b678c8477dd5acc5e264eae37b562c"></a> |
| 778 | <div class="memitem"> |
| 779 | <div class="memproto"> |
| 780 | <table class="memname"> |
| 781 | <tr> |
| 782 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#ae3b678c8477dd5acc5e264eae37b562c">CLLeNet5Fixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_le_net5_fixture.xhtml">LeNet5Fixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="el" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_convolution_layer.xhtml">CLConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_fully_connected_layer.xhtml">CLFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer.xhtml">CLPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_c_l_softmax_layer.xhtml">CLSoftmaxLayer</a>></td> |
| 783 | </tr> |
| 784 | </table> |
| 785 | </div><div class="memdoc"> |
| 786 | |
| 787 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_s_y_s_t_e_m_2_le_net5_8cpp_source.xhtml#l00049">49</a> of file <a class="el" href="benchmark_2_c_l_2_s_y_s_t_e_m_2_le_net5_8cpp_source.xhtml">LeNet5.cpp</a>.</p> |
| 788 | |
| 789 | </div> |
| 790 | </div> |
| 791 | <a class="anchor" id="af4f1c6ad288931f07f614316f57ed63b"></a> |
| 792 | <div class="memitem"> |
| 793 | <div class="memproto"> |
| 794 | <table class="memname"> |
| 795 | <tr> |
| 796 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#af4f1c6ad288931f07f614316f57ed63b">CLNormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml">NormalizationLayerFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_normalization_layer.xhtml">CLNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| 797 | </tr> |
| 798 | </table> |
| 799 | </div><div class="memdoc"> |
| 800 | |
| 801 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_normalization_layer_8cpp_source.xhtml#l00046">46</a> of file <a class="el" href="benchmark_2_c_l_2_normalization_layer_8cpp_source.xhtml">NormalizationLayer.cpp</a>.</p> |
| 802 | |
| 803 | </div> |
| 804 | </div> |
| 805 | <a class="anchor" id="a9c81648f3199d0d1c3f34a29a7a2bb8d"></a> |
| 806 | <div class="memitem"> |
| 807 | <div class="memproto"> |
| 808 | <table class="memname"> |
| 809 | <tr> |
| 810 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a9c81648f3199d0d1c3f34a29a7a2bb8d">CLPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml">PoolingLayerFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_pooling_layer.xhtml">CLPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>></td> |
| 811 | </tr> |
| 812 | </table> |
| 813 | </div><div class="memdoc"> |
| 814 | |
| 815 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_pooling_layer_8cpp_source.xhtml#l00051">51</a> of file <a class="el" href="benchmark_2_c_l_2_pooling_layer_8cpp_source.xhtml">PoolingLayer.cpp</a>.</p> |
| 816 | |
| 817 | </div> |
| 818 | </div> |
| 819 | <a class="anchor" id="a41884dec2ecae6674396802641b01060"></a> |
| 820 | <div class="memitem"> |
| 821 | <div class="memproto"> |
| 822 | <table class="memname"> |
| 823 | <tr> |
| 824 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a41884dec2ecae6674396802641b01060">CLROIPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml">ROIPoolingLayerFixture</a><<a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a>, <a class="el" href="classarm__compute_1_1_c_l_r_o_i_pooling_layer.xhtml">CLROIPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_accessor.xhtml">CLAccessor</a>, <a class="el" href="classarm__compute_1_1_c_l_array.xhtml">CLArray</a><<a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a>>, <a class="el" href="classarm__compute_1_1test_1_1_c_l_array_accessor.xhtml">CLArrayAccessor</a><<a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a>>></td> |
| 825 | </tr> |
| 826 | </table> |
| 827 | </div><div class="memdoc"> |
| 828 | |
| 829 | <p>Definition at line <a class="el" href="_c_l_2_r_o_i_pooling_layer_8cpp_source.xhtml#l00042">42</a> of file <a class="el" href="_c_l_2_r_o_i_pooling_layer_8cpp_source.xhtml">ROIPoolingLayer.cpp</a>.</p> |
| 830 | |
| 831 | </div> |
| 832 | </div> |
| 833 | <a class="anchor" id="aeded391cb7ec7a44c41eb23544265894"></a> |
| 834 | <div class="memitem"> |
| 835 | <div class="memproto"> |
| 836 | <table class="memname"> |
| 837 | <tr> |
| 838 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#aeded391cb7ec7a44c41eb23544265894">NEActivationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_activation_layer_fixture.xhtml">ActivationLayerFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer.xhtml">NEActivationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>></td> |
| 839 | </tr> |
| 840 | </table> |
| 841 | </div><div class="memdoc"> |
| 842 | |
| 843 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_activation_layer_8cpp_source.xhtml#l00055">55</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_activation_layer_8cpp_source.xhtml">ActivationLayer.cpp</a>.</p> |
| 844 | |
| 845 | </div> |
| 846 | </div> |
| 847 | <a class="anchor" id="ae0e8bcf3b0ed15e708b4a38febfdb84e"></a> |
| 848 | <div class="memitem"> |
| 849 | <div class="memproto"> |
| 850 | <table class="memname"> |
| 851 | <tr> |
| 852 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#ae0e8bcf3b0ed15e708b4a38febfdb84e">NEAlexNetFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fixture.xhtml">AlexNetFixture</a><<a class="el" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a>, <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_sub_tensor.xhtml">SubTensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer.xhtml">NEActivationLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml">NENormalizationLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml">NEPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml">NESoftmaxLayer</a>></td> |
| 853 | </tr> |
| 854 | </table> |
| 855 | </div><div class="memdoc"> |
| 856 | |
| 857 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_s_y_s_t_e_m_2_alex_net_8cpp_source.xhtml#l00065">65</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_s_y_s_t_e_m_2_alex_net_8cpp_source.xhtml">AlexNet.cpp</a>.</p> |
| 858 | |
| 859 | </div> |
| 860 | </div> |
| 861 | <a class="anchor" id="ac7369c169e6de526fcb6f68e4a959444"></a> |
| 862 | <div class="memitem"> |
| 863 | <div class="memproto"> |
| 864 | <table class="memname"> |
| 865 | <tr> |
| 866 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#ac7369c169e6de526fcb6f68e4a959444">NEBatchNormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_fixture.xhtml">BatchNormalizationLayerFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_batch_normalization_layer.xhtml">NEBatchNormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>></td> |
| 867 | </tr> |
| 868 | </table> |
| 869 | </div><div class="memdoc"> |
| 870 | |
| 871 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_batch_normalization_layer_8cpp_source.xhtml#l00051">51</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_batch_normalization_layer_8cpp_source.xhtml">BatchNormalizationLayer.cpp</a>.</p> |
| 872 | |
| 873 | </div> |
| 874 | </div> |
| 875 | <a class="anchor" id="a3168ad22b6ac1e9a6996b53e5038a7a2"></a> |
| 876 | <div class="memitem"> |
| 877 | <div class="memproto"> |
| 878 | <table class="memname"> |
| 879 | <tr> |
| 880 | <td class="memname">typedef <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_fixture.xhtml">ConvolutionLayerFixture</a>< <a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_direct_convolution_layer.xhtml">NEDirectConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a> > <a class="el" href="namespacearm__compute_1_1test.xhtml#a3168ad22b6ac1e9a6996b53e5038a7a2">NEConvolutionLayerFixture</a></td> |
| 881 | </tr> |
| 882 | </table> |
| 883 | </div><div class="memdoc"> |
| 884 | |
| 885 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_convolution_layer_8cpp_source.xhtml#l00055">55</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_convolution_layer_8cpp_source.xhtml">ConvolutionLayer.cpp</a>.</p> |
| 886 | |
| 887 | </div> |
| 888 | </div> |
| 889 | <a class="anchor" id="ac8cf6873b0e9ac7334bcbc042fdc5f02"></a> |
| 890 | <div class="memitem"> |
| 891 | <div class="memproto"> |
| 892 | <table class="memname"> |
| 893 | <tr> |
| 894 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#ac8cf6873b0e9ac7334bcbc042fdc5f02">NEFloorFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_floor_fixture.xhtml">FloorFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_floor.xhtml">NEFloor</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>></td> |
| 895 | </tr> |
| 896 | </table> |
| 897 | </div><div class="memdoc"> |
| 898 | |
| 899 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_floor_8cpp_source.xhtml#l00045">45</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_floor_8cpp_source.xhtml">Floor.cpp</a>.</p> |
| 900 | |
| 901 | </div> |
| 902 | </div> |
| 903 | <a class="anchor" id="a0b4f7a523ddb2b823750ff5bdc03470c"></a> |
| 904 | <div class="memitem"> |
| 905 | <div class="memproto"> |
| 906 | <table class="memname"> |
| 907 | <tr> |
| 908 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a0b4f7a523ddb2b823750ff5bdc03470c">NEFullyConnectedLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_fixture.xhtml">FullyConnectedLayerFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>></td> |
| 909 | </tr> |
| 910 | </table> |
| 911 | </div><div class="memdoc"> |
| 912 | |
| 913 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_fully_connected_layer_8cpp_source.xhtml#l00053">53</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_fully_connected_layer_8cpp_source.xhtml">FullyConnectedLayer.cpp</a>.</p> |
| 914 | |
| 915 | </div> |
| 916 | </div> |
| 917 | <a class="anchor" id="a789c444c1307e85eec5f8b0d75fd5f7d"></a> |
| 918 | <div class="memitem"> |
| 919 | <div class="memproto"> |
| 920 | <table class="memname"> |
| 921 | <tr> |
| 922 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a789c444c1307e85eec5f8b0d75fd5f7d">NEGEMMFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_fixture.xhtml">GEMMFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_g_e_m_m.xhtml">NEGEMM</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>></td> |
| 923 | </tr> |
| 924 | </table> |
| 925 | </div><div class="memdoc"> |
| 926 | |
| 927 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml#l00054">54</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_g_e_m_m_8cpp_source.xhtml">GEMM.cpp</a>.</p> |
| 928 | |
| 929 | </div> |
| 930 | </div> |
| 931 | <a class="anchor" id="a6a292ad5fedcc7dea6c6eb1be6d4c0d3"></a> |
| 932 | <div class="memitem"> |
| 933 | <div class="memproto"> |
| 934 | <table class="memname"> |
| 935 | <tr> |
| 936 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a6a292ad5fedcc7dea6c6eb1be6d4c0d3">NELeNet5Fixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_le_net5_fixture.xhtml">LeNet5Fixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>, <a class="el" href="classarm__compute_1_1_n_e_activation_layer.xhtml">NEActivationLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_convolution_layer.xhtml">NEConvolutionLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_fully_connected_layer.xhtml">NEFullyConnectedLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml">NEPoolingLayer</a>, <a class="el" href="classarm__compute_1_1_n_e_softmax_layer.xhtml">NESoftmaxLayer</a>></td> |
| 937 | </tr> |
| 938 | </table> |
| 939 | </div><div class="memdoc"> |
| 940 | |
| 941 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_s_y_s_t_e_m_2_le_net5_8cpp_source.xhtml#l00049">49</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_s_y_s_t_e_m_2_le_net5_8cpp_source.xhtml">LeNet5.cpp</a>.</p> |
| 942 | |
| 943 | </div> |
| 944 | </div> |
| 945 | <a class="anchor" id="acc2c4764a300b505b50e9ba0642eff2b"></a> |
| 946 | <div class="memitem"> |
| 947 | <div class="memproto"> |
| 948 | <table class="memname"> |
| 949 | <tr> |
| 950 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#acc2c4764a300b505b50e9ba0642eff2b">NENormalizationLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_fixture.xhtml">NormalizationLayerFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_normalization_layer.xhtml">NENormalizationLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>></td> |
| 951 | </tr> |
| 952 | </table> |
| 953 | </div><div class="memdoc"> |
| 954 | |
| 955 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_normalization_layer_8cpp_source.xhtml#l00049">49</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_normalization_layer_8cpp_source.xhtml">NormalizationLayer.cpp</a>.</p> |
| 956 | |
| 957 | </div> |
| 958 | </div> |
| 959 | <a class="anchor" id="aafcc5ee5a13d9ed18d31591bb1d50fb0"></a> |
| 960 | <div class="memitem"> |
| 961 | <div class="memproto"> |
| 962 | <table class="memname"> |
| 963 | <tr> |
| 964 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#aafcc5ee5a13d9ed18d31591bb1d50fb0">NEPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_fixture.xhtml">PoolingLayerFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_pooling_layer.xhtml">NEPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>></td> |
| 965 | </tr> |
| 966 | </table> |
| 967 | </div><div class="memdoc"> |
| 968 | |
| 969 | <p>Definition at line <a class="el" href="benchmark_2_n_e_o_n_2_pooling_layer_8cpp_source.xhtml#l00055">55</a> of file <a class="el" href="benchmark_2_n_e_o_n_2_pooling_layer_8cpp_source.xhtml">PoolingLayer.cpp</a>.</p> |
| 970 | |
| 971 | </div> |
| 972 | </div> |
| 973 | <a class="anchor" id="a7ad74154ac625702bef70b90243ae63f"></a> |
| 974 | <div class="memitem"> |
| 975 | <div class="memproto"> |
| 976 | <table class="memname"> |
| 977 | <tr> |
| 978 | <td class="memname">using <a class="el" href="namespacearm__compute_1_1test.xhtml#a7ad74154ac625702bef70b90243ae63f">NEROIPoolingLayerFixture</a> = <a class="el" href="classarm__compute_1_1test_1_1_r_o_i_pooling_layer_fixture.xhtml">ROIPoolingLayerFixture</a><<a class="el" href="classarm__compute_1_1_tensor.xhtml">Tensor</a>, <a class="el" href="classarm__compute_1_1_n_e_r_o_i_pooling_layer.xhtml">NEROIPoolingLayer</a>, <a class="el" href="classarm__compute_1_1test_1_1_accessor.xhtml">Accessor</a>, <a class="el" href="classarm__compute_1_1_array.xhtml">Array</a><<a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a>>, <a class="el" href="classarm__compute_1_1test_1_1_array_accessor.xhtml">ArrayAccessor</a><<a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a>>></td> |
| 979 | </tr> |
| 980 | </table> |
| 981 | </div><div class="memdoc"> |
| 982 | |
| 983 | <p>Definition at line <a class="el" href="_n_e_o_n_2_r_o_i_pooling_layer_8cpp_source.xhtml#l00042">42</a> of file <a class="el" href="_n_e_o_n_2_r_o_i_pooling_layer_8cpp_source.xhtml">ROIPoolingLayer.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 984 | |
| 985 | </div> |
| 986 | </div> |
| 987 | <h2 class="groupheader">Function Documentation</h2> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 988 | <a class="anchor" id="a629633220b1b91a871c57b679b9f06e3"></a> |
| 989 | <div class="memitem"> |
| 990 | <div class="memproto"> |
| 991 | <table class="memname"> |
| 992 | <tr> |
| 993 | <td class="memname">void arm_compute::test::apply </td> |
| 994 | <td>(</td> |
| 995 | <td class="paramtype">O * </td> |
| 996 | <td class="paramname"><em>obj</em>, </td> |
| 997 | </tr> |
| 998 | <tr> |
| 999 | <td class="paramkey"></td> |
| 1000 | <td></td> |
| 1001 | <td class="paramtype">F && </td> |
| 1002 | <td class="paramname"><em>func</em>, </td> |
| 1003 | </tr> |
| 1004 | <tr> |
| 1005 | <td class="paramkey"></td> |
| 1006 | <td></td> |
| 1007 | <td class="paramtype">const std::tuple< As...> & </td> |
| 1008 | <td class="paramname"><em>args</em> </td> |
| 1009 | </tr> |
| 1010 | <tr> |
| 1011 | <td></td> |
| 1012 | <td>)</td> |
| 1013 | <td></td><td></td> |
| 1014 | </tr> |
| 1015 | </table> |
| 1016 | </div><div class="memdoc"> |
| 1017 | |
| 1018 | <p>Definition at line <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00079">79</a> of file <a class="el" href="tests_2framework_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1019 | |
| 1020 | <p>References <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00072">arm_compute::test::framework::apply_impl()</a>.</p> |
| 1021 | <div class="fragment"><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> {</div> |
| 1022 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#a8daf3ad5a8666ce417ad176256a592eb">detail::apply_impl</a>(obj, std::forward<F>(func), <a class="code" href="namespacecaffe__data__extractor.xhtml#aad3cdfd6574de97bf37448087aaff11d">args</a>, detail::sequence_t<<span class="keyword">sizeof</span>...(As)>());</div> |
| 1023 | <div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div> |
| 1024 | <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_a8daf3ad5a8666ce417ad176256a592eb"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#a8daf3ad5a8666ce417ad176256a592eb">arm_compute::test::framework::apply_impl</a></div><div class="ttdeci">void apply_impl(O *obj, F &&func, const std::tuple< As...> &args, detail::sequence< S...>)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2framework_2_utils_8h_source.xhtml#l00072">Utils.h:72</a></div></div> |
| 1025 | <div class="ttc" id="namespacecaffe__data__extractor_xhtml_aad3cdfd6574de97bf37448087aaff11d"><div class="ttname"><a href="namespacecaffe__data__extractor.xhtml#aad3cdfd6574de97bf37448087aaff11d">caffe_data_extractor.args</a></div><div class="ttdeci">tuple args</div><div class="ttdef"><b>Definition:</b> <a href="caffe__data__extractor_8py_source.xhtml#l00021">caffe_data_extractor.py:21</a></div></div> |
| 1026 | </div><!-- fragment --> |
| 1027 | </div> |
| 1028 | </div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1029 | <a class="anchor" id="a9be4cb7e6ee20063a4a10bc3abb750b9"></a> |
| 1030 | <div class="memitem"> |
| 1031 | <div class="memproto"> |
| 1032 | <table class="mlabels"> |
| 1033 | <tr> |
| 1034 | <td class="mlabels-left"> |
| 1035 | <table class="memname"> |
| 1036 | <tr> |
| 1037 | <td class="memname">int arm_compute::test::coord2index </td> |
| 1038 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1039 | <td class="paramtype">const TensorShape & </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1040 | <td class="paramname"><em>shape</em>, </td> |
| 1041 | </tr> |
| 1042 | <tr> |
| 1043 | <td class="paramkey"></td> |
| 1044 | <td></td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1045 | <td class="paramtype">const Coordinates & </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1046 | <td class="paramname"><em>coord</em> </td> |
| 1047 | </tr> |
| 1048 | <tr> |
| 1049 | <td></td> |
| 1050 | <td>)</td> |
| 1051 | <td></td><td></td> |
| 1052 | </tr> |
| 1053 | </table> |
| 1054 | </td> |
| 1055 | <td class="mlabels-right"> |
| 1056 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1057 | </tr> |
| 1058 | </table> |
| 1059 | </div><div class="memdoc"> |
| 1060 | |
| 1061 | <p>Linearise the given coordinate. </p> |
| 1062 | <p>Transforms the given coordinate into a linear offset in terms of elements.</p> |
| 1063 | <dl class="params"><dt>Parameters</dt><dd> |
| 1064 | <table class="params"> |
| 1065 | <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>Shape of the n-dimensional tensor. </td></tr> |
| 1066 | <tr><td class="paramdir">[in]</td><td class="paramname">coord</td><td>The to be converted coordinate.</td></tr> |
| 1067 | </table> |
| 1068 | </dd> |
| 1069 | </dl> |
| 1070 | <dl class="section return"><dt>Returns</dt><dd>Linear offset to the element. </dd></dl> |
| 1071 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1072 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00337">337</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1073 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1074 | <p>References <a class="el" href="_error_8h_source.xhtml#l00115">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00109">Dimensions< T >::num_dimensions()</a>, and <a class="el" href="_tensor_shape_8h_source.xhtml#l00135">TensorShape::total_size()</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1075 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1076 | <p>Referenced by <a class="el" href="tests_2validation_2_c_p_p_2_utils_8h_source.xhtml#l00081">arm_compute::test::validation::apply_2d_spatial_filter()</a>, <a class="el" href="_raw_tensor_8cpp_source.xhtml#l00057">RawTensor::operator()()</a>, <a class="el" href="_simple_tensor_8h_source.xhtml#l00323">SimpleTensor< T >::operator()()</a>, <a class="el" href="_c_p_p_2_scale_8cpp_source.xhtml#l00039">arm_compute::test::validation::reference::scale()</a>, and <a class="el" href="tests_2validation_2_c_p_p_2_utils_8h_source.xhtml#l00046">arm_compute::test::validation::tensor_elem_at()</a>.</p> |
| 1077 | <div class="fragment"><div class="line"><a name="l00338"></a><span class="lineno"> 338</span> {</div> |
| 1078 | <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.total_size() == 0, <span class="stringliteral">"Cannot get index from empty shape"</span>);</div> |
| 1079 | <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(coord.num_dimensions() == 0, <span class="stringliteral">"Cannot get index of empty coordinate"</span>);</div> |
| 1080 | <div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div> |
| 1081 | <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordtype">int</span> index = 0;</div> |
| 1082 | <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordtype">int</span> dim_size = 1;</div> |
| 1083 | <div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div> |
| 1084 | <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < coord.num_dimensions(); ++i)</div> |
| 1085 | <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  {</div> |
| 1086 | <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  index += coord[i] * dim_size;</div> |
| 1087 | <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  dim_size *= <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[i];</div> |
| 1088 | <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div> |
| 1089 | <div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div> |
| 1090 | <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">return</span> index;</div> |
| 1091 | <div class="line"><a name="l00352"></a><span class="lineno"> 352</span> }</div> |
| 1092 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div> |
| 1093 | <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00115">Error.h:115</a></div></div> |
| 1094 | </div><!-- fragment --> |
| 1095 | </div> |
| 1096 | </div> |
| 1097 | <a class="anchor" id="a2ce249581879425cc66db8d364c838f3"></a> |
| 1098 | <div class="memitem"> |
| 1099 | <div class="memproto"> |
| 1100 | <table class="mlabels"> |
| 1101 | <tr> |
| 1102 | <td class="mlabels-left"> |
| 1103 | <table class="memname"> |
| 1104 | <tr> |
| 1105 | <td class="memname">T arm_compute::test::create_tensor </td> |
| 1106 | <td>(</td> |
| 1107 | <td class="paramtype">const TensorShape & </td> |
| 1108 | <td class="paramname"><em>shape</em>, </td> |
| 1109 | </tr> |
| 1110 | <tr> |
| 1111 | <td class="paramkey"></td> |
| 1112 | <td></td> |
| 1113 | <td class="paramtype">DataType </td> |
| 1114 | <td class="paramname"><em>data_type</em>, </td> |
| 1115 | </tr> |
| 1116 | <tr> |
| 1117 | <td class="paramkey"></td> |
| 1118 | <td></td> |
| 1119 | <td class="paramtype">int </td> |
| 1120 | <td class="paramname"><em>num_channels</em> = <code>1</code>, </td> |
| 1121 | </tr> |
| 1122 | <tr> |
| 1123 | <td class="paramkey"></td> |
| 1124 | <td></td> |
| 1125 | <td class="paramtype">int </td> |
| 1126 | <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| 1127 | </tr> |
| 1128 | <tr> |
| 1129 | <td></td> |
| 1130 | <td>)</td> |
| 1131 | <td></td><td></td> |
| 1132 | </tr> |
| 1133 | </table> |
| 1134 | </td> |
| 1135 | <td class="mlabels-right"> |
| 1136 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1137 | </tr> |
| 1138 | </table> |
| 1139 | </div><div class="memdoc"> |
| 1140 | |
| 1141 | <p>Create and initialize a tensor of the given type. </p> |
| 1142 | <dl class="params"><dt>Parameters</dt><dd> |
| 1143 | <table class="params"> |
| 1144 | <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> shape. </td></tr> |
| 1145 | <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type. </td></tr> |
| 1146 | <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>(Optional) Number of channels. </td></tr> |
| 1147 | <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Number of fractional bits.</td></tr> |
| 1148 | </table> |
| 1149 | </dd> |
| 1150 | </dl> |
| 1151 | <dl class="section return"><dt>Returns</dt><dd>Initialized tensor of given type. </dd></dl> |
| 1152 | |
| 1153 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00378">378</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1154 | <div class="fragment"><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> {</div> |
| 1155 | <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  T tensor;</div> |
| 1156 | <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  tensor.allocator()->init(TensorInfo(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>, num_channels, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>, fixed_point_position));</div> |
| 1157 | <div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div> |
| 1158 | <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keywordflow">return</span> tensor;</div> |
| 1159 | <div class="line"><a name="l00384"></a><span class="lineno"> 384</span> }</div> |
| 1160 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div> |
| 1161 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div> |
| 1162 | </div><!-- fragment --> |
| 1163 | </div> |
| 1164 | </div> |
| 1165 | <a class="anchor" id="ac35e7a1ad467f5fe8620cbbc5793d53b"></a> |
| 1166 | <div class="memitem"> |
| 1167 | <div class="memproto"> |
| 1168 | <table class="mlabels"> |
| 1169 | <tr> |
| 1170 | <td class="mlabels-left"> |
| 1171 | <table class="memname"> |
| 1172 | <tr> |
| 1173 | <td class="memname">void arm_compute::test::fill_array </td> |
| 1174 | <td>(</td> |
| 1175 | <td class="paramtype">ArrayAccessor_T && </td> |
| 1176 | <td class="paramname"><em>array</em>, </td> |
| 1177 | </tr> |
| 1178 | <tr> |
| 1179 | <td class="paramkey"></td> |
| 1180 | <td></td> |
| 1181 | <td class="paramtype">const std::vector< T > & </td> |
| 1182 | <td class="paramname"><em>v</em> </td> |
| 1183 | </tr> |
| 1184 | <tr> |
| 1185 | <td></td> |
| 1186 | <td>)</td> |
| 1187 | <td></td><td></td> |
| 1188 | </tr> |
| 1189 | </table> |
| 1190 | </td> |
| 1191 | <td class="mlabels-right"> |
| 1192 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1193 | </tr> |
| 1194 | </table> |
| 1195 | </div><div class="memdoc"> |
| 1196 | |
| 1197 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00433">433</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1198 | |
| 1199 | <p>Referenced by <a class="el" href="_r_o_i_pooling_layer_fixture_8h_source.xhtml#l00045">ROIPoolingLayerFixture< TensorType, Function, Accessor, Array_T, ArrayAccessor >::setup()</a>.</p> |
| 1200 | <div class="fragment"><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> {</div> |
| 1201 | <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  array.resize(v.size());</div> |
| 1202 | <div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  std::memcpy(array.buffer(), v.data(), v.size() * <span class="keyword">sizeof</span>(T));</div> |
| 1203 | <div class="line"><a name="l00437"></a><span class="lineno"> 437</span> }</div> |
| 1204 | </div><!-- fragment --> |
| 1205 | </div> |
| 1206 | </div> |
| 1207 | <a class="anchor" id="a8939810976531494e8db1f491bf61a35"></a> |
| 1208 | <div class="memitem"> |
| 1209 | <div class="memproto"> |
| 1210 | <table class="memname"> |
| 1211 | <tr> |
| 1212 | <td class="memname">void arm_compute::test::fill_tensors </td> |
| 1213 | <td>(</td> |
| 1214 | <td class="paramtype">D && </td> |
| 1215 | <td class="paramname"><em>dist</em>, </td> |
| 1216 | </tr> |
| 1217 | <tr> |
| 1218 | <td class="paramkey"></td> |
| 1219 | <td></td> |
| 1220 | <td class="paramtype">std::initializer_list< int > </td> |
| 1221 | <td class="paramname"><em>seeds</em>, </td> |
| 1222 | </tr> |
| 1223 | <tr> |
| 1224 | <td class="paramkey"></td> |
| 1225 | <td></td> |
| 1226 | <td class="paramtype">T && </td> |
| 1227 | <td class="paramname"><em>tensor</em>, </td> |
| 1228 | </tr> |
| 1229 | <tr> |
| 1230 | <td class="paramkey"></td> |
| 1231 | <td></td> |
| 1232 | <td class="paramtype">Ts &&... </td> |
| 1233 | <td class="paramname"><em>other_tensors</em> </td> |
| 1234 | </tr> |
| 1235 | <tr> |
| 1236 | <td></td> |
| 1237 | <td>)</td> |
| 1238 | <td></td><td></td> |
| 1239 | </tr> |
| 1240 | </table> |
| 1241 | </div><div class="memdoc"> |
| 1242 | |
| 1243 | <p>Definition at line <a class="el" href="_helper_8h_source.xhtml#l00039">39</a> of file <a class="el" href="_helper_8h_source.xhtml">Helper.h</a>.</p> |
| 1244 | |
| 1245 | <p>References <a class="el" href="_error_8h_source.xhtml#l00124">ARM_COMPUTE_ERROR_ON</a>, and <a class="el" href="main_8cpp_source.xhtml#l00054">library</a>.</p> |
| 1246 | <div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div> |
| 1247 | <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> std::array < T, 1 + <span class="keyword">sizeof</span>...(Ts) > tensors{ { std::forward<T>(tensor), std::forward<Ts>(other_tensors)... } };</div> |
| 1248 | <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::vector<int> vs(seeds);</div> |
| 1249 | <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(vs.size() != tensors.size());</div> |
| 1250 | <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">int</span> k = 0;</div> |
| 1251 | <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> tp : tensors)</div> |
| 1252 | <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div> |
| 1253 | <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">library</a>->fill(Accessor(*tp), std::forward<D>(dist), vs[k++]);</div> |
| 1254 | <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</div> |
| 1255 | <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> }</div> |
| 1256 | <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00124">Error.h:124</a></div></div> |
| 1257 | <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a71326f0909d77386e29b511e1990a11f"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a71326f0909d77386e29b511e1990a11f">arm_compute::test::library</a></div><div class="ttdeci">std::unique_ptr< AssetsLibrary > library</div><div class="ttdef"><b>Definition:</b> <a href="main_8cpp_source.xhtml#l00054">main.cpp:54</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1258 | </div><!-- fragment --> |
| 1259 | </div> |
| 1260 | </div> |
| 1261 | <a class="anchor" id="a1ebbb23b0094d47c51226d58e17e6447"></a> |
| 1262 | <div class="memitem"> |
| 1263 | <div class="memproto"> |
| 1264 | <table class="mlabels"> |
| 1265 | <tr> |
| 1266 | <td class="mlabels-left"> |
| 1267 | <table class="memname"> |
| 1268 | <tr> |
| 1269 | <td class="memname">T arm_compute::test::foldl </td> |
| 1270 | <td>(</td> |
| 1271 | <td class="paramtype">F && </td> |
| 1272 | <td class="paramname">, </td> |
| 1273 | </tr> |
| 1274 | <tr> |
| 1275 | <td class="paramkey"></td> |
| 1276 | <td></td> |
| 1277 | <td class="paramtype">const T & </td> |
| 1278 | <td class="paramname"><em>value</em> </td> |
| 1279 | </tr> |
| 1280 | <tr> |
| 1281 | <td></td> |
| 1282 | <td>)</td> |
| 1283 | <td></td><td></td> |
| 1284 | </tr> |
| 1285 | </table> |
| 1286 | </td> |
| 1287 | <td class="mlabels-right"> |
| 1288 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1289 | </tr> |
| 1290 | </table> |
| 1291 | </div><div class="memdoc"> |
| 1292 | |
| 1293 | <p>Base case of foldl. </p> |
| 1294 | <dl class="section return"><dt>Returns</dt><dd>value. </dd></dl> |
| 1295 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1296 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00156">156</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1297 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1298 | <p>References <a class="el" href="hwc_8hpp_source.xhtml#l00269">value</a>.</p> |
| 1299 | |
| 1300 | <p>Referenced by <a class="el" href="tests_2_utils_8h_source.xhtml#l00179">foldl()</a>.</p> |
| 1301 | <div class="fragment"><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> {</div> |
| 1302 | <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">return</span> <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 1303 | <div class="line"><a name="l00159"></a><span class="lineno"> 159</span> }</div> |
| 1304 | <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div> |
| 1305 | </div><!-- fragment --> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1306 | </div> |
| 1307 | </div> |
| 1308 | <a class="anchor" id="ad933f996ccb22854ae56dd86de8cbbfe"></a> |
| 1309 | <div class="memitem"> |
| 1310 | <div class="memproto"> |
| 1311 | <table class="mlabels"> |
| 1312 | <tr> |
| 1313 | <td class="mlabels-left"> |
| 1314 | <table class="memname"> |
| 1315 | <tr> |
| 1316 | <td class="memname">auto arm_compute::test::foldl </td> |
| 1317 | <td>(</td> |
| 1318 | <td class="paramtype">F && </td> |
| 1319 | <td class="paramname"><em>func</em>, </td> |
| 1320 | </tr> |
| 1321 | <tr> |
| 1322 | <td class="paramkey"></td> |
| 1323 | <td></td> |
| 1324 | <td class="paramtype">T && </td> |
| 1325 | <td class="paramname"><em>value1</em>, </td> |
| 1326 | </tr> |
| 1327 | <tr> |
| 1328 | <td class="paramkey"></td> |
| 1329 | <td></td> |
| 1330 | <td class="paramtype">U && </td> |
| 1331 | <td class="paramname"><em>value2</em> </td> |
| 1332 | </tr> |
| 1333 | <tr> |
| 1334 | <td></td> |
| 1335 | <td>)</td> |
| 1336 | <td></td><td> -> decltype(func(value1, value2)) |
| 1337 | </td> |
| 1338 | </tr> |
| 1339 | </table> |
| 1340 | </td> |
| 1341 | <td class="mlabels-right"> |
| 1342 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1343 | </tr> |
| 1344 | </table> |
| 1345 | </div><div class="memdoc"> |
| 1346 | |
| 1347 | <p>Base case of foldl. </p> |
| 1348 | <dl class="section return"><dt>Returns</dt><dd>func(value1, value2). </dd></dl> |
| 1349 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1350 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00166">166</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1351 | <div class="fragment"><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> {</div> |
| 1352 | <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">return</span> func(value1, value2);</div> |
| 1353 | <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> }</div> |
| 1354 | </div><!-- fragment --> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1355 | </div> |
| 1356 | </div> |
| 1357 | <a class="anchor" id="a89322cccde5e0a27d3a41085d3fd366c"></a> |
| 1358 | <div class="memitem"> |
| 1359 | <div class="memproto"> |
| 1360 | <table class="mlabels"> |
| 1361 | <tr> |
| 1362 | <td class="mlabels-left"> |
| 1363 | <table class="memname"> |
| 1364 | <tr> |
| 1365 | <td class="memname">I arm_compute::test::foldl </td> |
| 1366 | <td>(</td> |
| 1367 | <td class="paramtype">F && </td> |
| 1368 | <td class="paramname"><em>func</em>, </td> |
| 1369 | </tr> |
| 1370 | <tr> |
| 1371 | <td class="paramkey"></td> |
| 1372 | <td></td> |
| 1373 | <td class="paramtype">I && </td> |
| 1374 | <td class="paramname"><em>initial</em>, </td> |
| 1375 | </tr> |
| 1376 | <tr> |
| 1377 | <td class="paramkey"></td> |
| 1378 | <td></td> |
| 1379 | <td class="paramtype">T && </td> |
| 1380 | <td class="paramname"><em>value</em>, </td> |
| 1381 | </tr> |
| 1382 | <tr> |
| 1383 | <td class="paramkey"></td> |
| 1384 | <td></td> |
| 1385 | <td class="paramtype">Vs &&... </td> |
| 1386 | <td class="paramname"><em>values</em> </td> |
| 1387 | </tr> |
| 1388 | <tr> |
| 1389 | <td></td> |
| 1390 | <td>)</td> |
| 1391 | <td></td><td></td> |
| 1392 | </tr> |
| 1393 | </table> |
| 1394 | </td> |
| 1395 | <td class="mlabels-right"> |
| 1396 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1397 | </tr> |
| 1398 | </table> |
| 1399 | </div><div class="memdoc"> |
| 1400 | |
| 1401 | <p>Fold left. </p> |
| 1402 | <dl class="params"><dt>Parameters</dt><dd> |
| 1403 | <table class="params"> |
| 1404 | <tr><td class="paramdir">[in]</td><td class="paramname">func</td><td>Binary function to be called. </td></tr> |
| 1405 | <tr><td class="paramdir">[in]</td><td class="paramname">initial</td><td>Initial value. </td></tr> |
| 1406 | <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>Argument passed to the function. </td></tr> |
| 1407 | <tr><td class="paramdir">[in]</td><td class="paramname">values</td><td>Remaining arguments. </td></tr> |
| 1408 | </table> |
| 1409 | </dd> |
| 1410 | </dl> |
| 1411 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1412 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00179">179</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1413 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1414 | <p>References <a class="el" href="tests_2_utils_8h_source.xhtml#l00156">foldl()</a>.</p> |
| 1415 | <div class="fragment"><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> {</div> |
| 1416 | <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a89322cccde5e0a27d3a41085d3fd366c">foldl</a>(std::forward<F>(func), func(std::forward<I>(initial), std::forward<T>(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>)), std::forward<Vs>(values)...);</div> |
| 1417 | <div class="line"><a name="l00182"></a><span class="lineno"> 182</span> }</div> |
| 1418 | <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a89322cccde5e0a27d3a41085d3fd366c"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a89322cccde5e0a27d3a41085d3fd366c">arm_compute::test::foldl</a></div><div class="ttdeci">I foldl(F &&func, I &&initial, T &&value, Vs &&...values)</div><div class="ttdoc">Fold left. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2_utils_8h_source.xhtml#l00179">Utils.h:179</a></div></div> |
| 1419 | <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div> |
| 1420 | </div><!-- fragment --> |
| 1421 | </div> |
| 1422 | </div> |
| 1423 | <a class="anchor" id="ac7324cc960068b65c558b7d25dfe2914"></a> |
| 1424 | <div class="memitem"> |
| 1425 | <div class="memproto"> |
| 1426 | <table class="mlabels"> |
| 1427 | <tr> |
| 1428 | <td class="mlabels-left"> |
| 1429 | <table class="memname"> |
| 1430 | <tr> |
| 1431 | <td class="memname">std::vector<<a class="el" href="structarm__compute_1_1_r_o_i.xhtml">ROI</a>> arm_compute::test::generate_random_rois </td> |
| 1432 | <td>(</td> |
| 1433 | <td class="paramtype">const TensorShape & </td> |
| 1434 | <td class="paramname"><em>shape</em>, </td> |
| 1435 | </tr> |
| 1436 | <tr> |
| 1437 | <td class="paramkey"></td> |
| 1438 | <td></td> |
| 1439 | <td class="paramtype">const ROIPoolingLayerInfo & </td> |
| 1440 | <td class="paramname"><em>pool_info</em>, </td> |
| 1441 | </tr> |
| 1442 | <tr> |
| 1443 | <td class="paramkey"></td> |
| 1444 | <td></td> |
| 1445 | <td class="paramtype">unsigned int </td> |
| 1446 | <td class="paramname"><em>num_rois</em>, </td> |
| 1447 | </tr> |
| 1448 | <tr> |
| 1449 | <td class="paramkey"></td> |
| 1450 | <td></td> |
| 1451 | <td class="paramtype">std::random_device::result_type </td> |
| 1452 | <td class="paramname"><em>seed</em> </td> |
| 1453 | </tr> |
| 1454 | <tr> |
| 1455 | <td></td> |
| 1456 | <td>)</td> |
| 1457 | <td></td><td></td> |
| 1458 | </tr> |
| 1459 | </table> |
| 1460 | </td> |
| 1461 | <td class="mlabels-right"> |
| 1462 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1463 | </tr> |
| 1464 | </table> |
| 1465 | </div><div class="memdoc"> |
| 1466 | |
| 1467 | <p>Create a vector of random ROIs. </p> |
| 1468 | <dl class="params"><dt>Parameters</dt><dd> |
| 1469 | <table class="params"> |
| 1470 | <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>The shape of the input tensor. </td></tr> |
| 1471 | <tr><td class="paramdir">[in]</td><td class="paramname">pool_info</td><td>The <a class="el" href="structarm__compute_1_1_r_o_i.xhtml" title="Region of interest. ">ROI</a> pooling information. </td></tr> |
| 1472 | <tr><td class="paramdir">[in]</td><td class="paramname">num_rois</td><td>The number of ROIs to be created. </td></tr> |
| 1473 | <tr><td class="paramdir">[in]</td><td class="paramname">seed</td><td>The random seed to be used.</td></tr> |
| 1474 | </table> |
| 1475 | </dd> |
| 1476 | </dl> |
| 1477 | <dl class="section return"><dt>Returns</dt><dd>A vector that contains the requested number of random ROIs </dd></dl> |
| 1478 | |
| 1479 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00395">395</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1480 | |
| 1481 | <p>References <a class="el" href="_error_8h_source.xhtml#l00124">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00312">ROI::batch_idx</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00290">Rectangle::height</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00495">ROIPoolingLayerInfo::pooled_height()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00491">ROIPoolingLayerInfo::pooled_width()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00311">ROI::rect</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00499">ROIPoolingLayerInfo::spatial_scale()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00289">Rectangle::width</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00081">Dimensions< T >::x()</a>, <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00287">Rectangle::x</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00086">Dimensions< T >::y()</a>, and <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00288">Rectangle::y</a>.</p> |
| 1482 | |
| 1483 | <p>Referenced by <a class="el" href="_r_o_i_pooling_layer_fixture_8h_source.xhtml#l00045">ROIPoolingLayerFixture< TensorType, Function, Accessor, Array_T, ArrayAccessor >::setup()</a>.</p> |
| 1484 | <div class="fragment"><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> {</div> |
| 1485 | <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>((pool_info.pooled_width() < 4) || (pool_info.pooled_height() < 4));</div> |
| 1486 | <div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div> |
| 1487 | <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  std::vector<ROI> rois;</div> |
| 1488 | <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::mt19937 gen(seed);</div> |
| 1489 | <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> pool_width = pool_info.pooled_width();</div> |
| 1490 | <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> pool_height = pool_info.pooled_height();</div> |
| 1491 | <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> roi_scale = pool_info.spatial_scale();</div> |
| 1492 | <div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div> |
| 1493 | <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// Calculate distribution bounds</span></div> |
| 1494 | <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">const</span> <span class="keyword">auto</span> scaled_width = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>((<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x() / roi_scale) / pool_width);</div> |
| 1495 | <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> <span class="keyword">auto</span> scaled_height = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>((<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.y() / roi_scale) / pool_height);</div> |
| 1496 | <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">const</span> <span class="keyword">auto</span> min_width = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(pool_width / roi_scale);</div> |
| 1497 | <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keyword">const</span> <span class="keyword">auto</span> min_height = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(pool_height / roi_scale);</div> |
| 1498 | <div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div> |
| 1499 | <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="comment">// Create distributions</span></div> |
| 1500 | <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  std::uniform_int_distribution<int> dist_batch(0, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[3] - 1);</div> |
| 1501 | <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  std::uniform_int_distribution<int> dist_x(0, scaled_width);</div> |
| 1502 | <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  std::uniform_int_distribution<int> dist_y(0, scaled_height);</div> |
| 1503 | <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  std::uniform_int_distribution<int> dist_w(min_width, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(min_width, (pool_width - 2) * scaled_width));</div> |
| 1504 | <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  std::uniform_int_distribution<int> dist_h(min_height, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(min_height, (pool_height - 2) * scaled_height));</div> |
| 1505 | <div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div> |
| 1506 | <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> r = 0; r < num_rois; ++r)</div> |
| 1507 | <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  {</div> |
| 1508 | <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  ROI roi;</div> |
| 1509 | <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  roi.batch_idx = dist_batch(gen);</div> |
| 1510 | <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  roi.rect.x = dist_x(gen);</div> |
| 1511 | <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  roi.rect.y = dist_y(gen);</div> |
| 1512 | <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  roi.rect.width = dist_w(gen);</div> |
| 1513 | <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  roi.rect.height = dist_h(gen);</div> |
| 1514 | <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  rois.push_back(roi);</div> |
| 1515 | <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  }</div> |
| 1516 | <div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div> |
| 1517 | <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">return</span> rois;</div> |
| 1518 | <div class="line"><a name="l00430"></a><span class="lineno"> 430</span> }</div> |
| 1519 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div> |
| 1520 | <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00124">Error.h:124</a></div></div> |
| 1521 | <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1522 | </div><!-- fragment --> |
| 1523 | </div> |
| 1524 | </div> |
| 1525 | <a class="anchor" id="ac7dbe33793790fc37a5eda11ed6b0273"></a> |
| 1526 | <div class="memitem"> |
| 1527 | <div class="memproto"> |
| 1528 | <table class="mlabels"> |
| 1529 | <tr> |
| 1530 | <td class="mlabels-left"> |
| 1531 | <table class="memname"> |
| 1532 | <tr> |
| 1533 | <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> arm_compute::test::get_channel_format </td> |
| 1534 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1535 | <td class="paramtype">Channel </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1536 | <td class="paramname"><em>channel</em></td><td>)</td> |
| 1537 | <td></td> |
| 1538 | </tr> |
| 1539 | </table> |
| 1540 | </td> |
| 1541 | <td class="mlabels-right"> |
| 1542 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1543 | </tr> |
| 1544 | </table> |
| 1545 | </div><div class="memdoc"> |
| 1546 | |
| 1547 | <p>Return the format of a channel. </p> |
| 1548 | <dl class="params"><dt>Parameters</dt><dd> |
| 1549 | <table class="params"> |
| 1550 | <tr><td class="paramdir">[in]</td><td class="paramname">channel</td><td>Channel type.</td></tr> |
| 1551 | </table> |
| 1552 | </dd> |
| 1553 | </dl> |
| 1554 | <dl class="section return"><dt>Returns</dt><dd>Format of the given channel. </dd></dl> |
| 1555 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1556 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00138">138</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1557 | |
| 1558 | <p>References <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">arm_compute::B</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf">arm_compute::G</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6">arm_compute::R</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1559 | <div class="fragment"><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> {</div> |
| 1560 | <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">switch</span>(channel)</div> |
| 1561 | <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  {</div> |
| 1562 | <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">case</span> Channel::R:</div> |
| 1563 | <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">case</span> Channel::G:</div> |
| 1564 | <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">case</span> Channel::B:</div> |
| 1565 | <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">return</span> Format::U8;</div> |
| 1566 | <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">default</span>:</div> |
| 1567 | <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Unsupported channel"</span>);</div> |
| 1568 | <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div> |
| 1569 | <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div> |
| 1570 | </div><!-- fragment --> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1571 | </div> |
| 1572 | </div> |
| 1573 | <a class="anchor" id="aa337ab76176f3c4193642ac6de3a61cf"></a> |
| 1574 | <div class="memitem"> |
| 1575 | <div class="memproto"> |
| 1576 | <table class="mlabels"> |
| 1577 | <tr> |
| 1578 | <td class="mlabels-left"> |
| 1579 | <table class="memname"> |
| 1580 | <tr> |
| 1581 | <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> arm_compute::test::get_format_for_channel </td> |
| 1582 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1583 | <td class="paramtype">Channel </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1584 | <td class="paramname"><em>channel</em></td><td>)</td> |
| 1585 | <td></td> |
| 1586 | </tr> |
| 1587 | </table> |
| 1588 | </td> |
| 1589 | <td class="mlabels-right"> |
| 1590 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1591 | </tr> |
| 1592 | </table> |
| 1593 | </div><div class="memdoc"> |
| 1594 | |
| 1595 | <p>Look up the format corresponding to a channel. </p> |
| 1596 | <dl class="params"><dt>Parameters</dt><dd> |
| 1597 | <table class="params"> |
| 1598 | <tr><td class="paramdir">[in]</td><td class="paramname">channel</td><td>Channel type.</td></tr> |
| 1599 | </table> |
| 1600 | </dd> |
| 1601 | </dl> |
| 1602 | <dl class="section return"><dt>Returns</dt><dd>Format that contains the given channel. </dd></dl> |
| 1603 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1604 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00119">119</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1605 | |
| 1606 | <p>References <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">arm_compute::B</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aadfcf28d0734569a6a693bc8194de62bf">arm_compute::G</a>, <a class="el" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aae1e1d3d40573127e9ee0480caf1283d6">arm_compute::R</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a30ff380a3be74628024063a99fba10f0">arm_compute::RGB888</a>.</p> |
| 1607 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1608 | <p>Referenced by <a class="el" href="_assets_library_8cpp_source.xhtml#l00205">AssetsLibrary::fill()</a>, and <a class="el" href="_assets_library_8cpp_source.xhtml#l00422">AssetsLibrary::get()</a>.</p> |
| 1609 | <div class="fragment"><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div> |
| 1610 | <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">switch</span>(channel)</div> |
| 1611 | <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  {</div> |
| 1612 | <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">case</span> Channel::R:</div> |
| 1613 | <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">case</span> Channel::G:</div> |
| 1614 | <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">case</span> Channel::B:</div> |
| 1615 | <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> Format::RGB888;</div> |
| 1616 | <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">default</span>:</div> |
| 1617 | <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Unsupported channel"</span>);</div> |
| 1618 | <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div> |
| 1619 | <div class="line"><a name="l00130"></a><span class="lineno"> 130</span> }</div> |
| 1620 | </div><!-- fragment --> |
| 1621 | </div> |
| 1622 | </div> |
| 1623 | <a class="anchor" id="ae47155d6186155ec4da9295764b3c05a"></a> |
| 1624 | <div class="memitem"> |
| 1625 | <div class="memproto"> |
| 1626 | <table class="mlabels"> |
| 1627 | <tr> |
| 1628 | <td class="mlabels-left"> |
| 1629 | <table class="memname"> |
| 1630 | <tr> |
| 1631 | <td class="memname">std::string arm_compute::test::get_typestring </td> |
| 1632 | <td>(</td> |
| 1633 | <td class="paramtype">DataType </td> |
| 1634 | <td class="paramname"><em>data_type</em></td><td>)</td> |
| 1635 | <td></td> |
| 1636 | </tr> |
| 1637 | </table> |
| 1638 | </td> |
| 1639 | <td class="mlabels-right"> |
| 1640 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1641 | </tr> |
| 1642 | </table> |
| 1643 | </div><div class="memdoc"> |
| 1644 | |
| 1645 | <p>Obtain numpy type string from DataType. </p> |
| 1646 | <dl class="params"><dt>Parameters</dt><dd> |
| 1647 | <table class="params"> |
| 1648 | <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type.</td></tr> |
| 1649 | </table> |
| 1650 | </dd> |
| 1651 | </dl> |
| 1652 | <dl class="section return"><dt>Returns</dt><dd>numpy type string. </dd></dl> |
| 1653 | |
| 1654 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00445">445</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1655 | |
| 1656 | <p>References <a class="el" href="_error_8h_source.xhtml#l00031">ARM_COMPUTE_ERROR</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::F64</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::S64</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::S8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::SIZET</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00168">arm_compute::support::cpp11::to_string()</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::U64</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p> |
| 1657 | |
| 1658 | <p>Referenced by <a class="el" href="_assets_library_8h_source.xhtml#l00653">AssetsLibrary::fill_layer_data()</a>.</p> |
| 1659 | <div class="fragment"><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> {</div> |
| 1660 | <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="comment">// Check endianness</span></div> |
| 1661 | <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1;</div> |
| 1662 | <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> <span class="keywordtype">char</span> *c = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">char</span> *<span class="keyword">></span>(&i);</div> |
| 1663 | <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  std::string endianness;</div> |
| 1664 | <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">if</span>(*c == 1)</div> |
| 1665 | <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  {</div> |
| 1666 | <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  endianness = std::string(<span class="stringliteral">"<"</span>);</div> |
| 1667 | <div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  }</div> |
| 1668 | <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keywordflow">else</span></div> |
| 1669 | <div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  {</div> |
| 1670 | <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  endianness = std::string(<span class="stringliteral">">"</span>);</div> |
| 1671 | <div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  }</div> |
| 1672 | <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keyword">const</span> std::string no_endianness(<span class="stringliteral">"|"</span>);</div> |
| 1673 | <div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div> |
| 1674 | <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div> |
| 1675 | <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  {</div> |
| 1676 | <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keywordflow">case</span> DataType::U8:</div> |
| 1677 | <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">return</span> no_endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint8_t));</div> |
| 1678 | <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">case</span> DataType::S8:</div> |
| 1679 | <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <span class="keywordflow">return</span> no_endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int8_t));</div> |
| 1680 | <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">case</span> DataType::U16:</div> |
| 1681 | <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint16_t));</div> |
| 1682 | <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keywordflow">case</span> DataType::S16:</div> |
| 1683 | <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int16_t));</div> |
| 1684 | <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">case</span> DataType::U32:</div> |
| 1685 | <div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint32_t));</div> |
| 1686 | <div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">case</span> DataType::S32:</div> |
| 1687 | <div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int32_t));</div> |
| 1688 | <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">case</span> DataType::U64:</div> |
| 1689 | <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(uint64_t));</div> |
| 1690 | <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">case</span> DataType::S64:</div> |
| 1691 | <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"i"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(int64_t));</div> |
| 1692 | <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">case</span> DataType::F32:</div> |
| 1693 | <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"f"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div> |
| 1694 | <div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">case</span> DataType::F64:</div> |
| 1695 | <div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"f"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));</div> |
| 1696 | <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">case</span> DataType::SIZET:</div> |
| 1697 | <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">return</span> endianness + <span class="stringliteral">"u"</span> + <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>(<span class="keyword">sizeof</span>(<span class="keywordtype">size_t</span>));</div> |
| 1698 | <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">default</span>:</div> |
| 1699 | <div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div> |
| 1700 | <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div> |
| 1701 | <div class="line"><a name="l00488"></a><span class="lineno"> 488</span> }</div> |
| 1702 | <div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00031">Error.h:31</a></div></div> |
| 1703 | <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00097">DatasetModes.h:97</a></div></div> |
| 1704 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div> |
| 1705 | </div><!-- fragment --> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1706 | </div> |
| 1707 | </div> |
| 1708 | <a class="anchor" id="a24d8c0391cfa38e78969b6ad97c0ff09"></a> |
| 1709 | <div class="memitem"> |
| 1710 | <div class="memproto"> |
| 1711 | <table class="mlabels"> |
| 1712 | <tr> |
| 1713 | <td class="mlabels-left"> |
| 1714 | <table class="memname"> |
| 1715 | <tr> |
| 1716 | <td class="memname"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> arm_compute::test::index2coord </td> |
| 1717 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1718 | <td class="paramtype">const TensorShape & </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1719 | <td class="paramname"><em>shape</em>, </td> |
| 1720 | </tr> |
| 1721 | <tr> |
| 1722 | <td class="paramkey"></td> |
| 1723 | <td></td> |
| 1724 | <td class="paramtype">int </td> |
| 1725 | <td class="paramname"><em>index</em> </td> |
| 1726 | </tr> |
| 1727 | <tr> |
| 1728 | <td></td> |
| 1729 | <td>)</td> |
| 1730 | <td></td><td></td> |
| 1731 | </tr> |
| 1732 | </table> |
| 1733 | </td> |
| 1734 | <td class="mlabels-right"> |
| 1735 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1736 | </tr> |
| 1737 | </table> |
| 1738 | </div><div class="memdoc"> |
| 1739 | |
| 1740 | <p>Convert a linear index into n-dimensional coordinates. </p> |
| 1741 | <dl class="params"><dt>Parameters</dt><dd> |
| 1742 | <table class="params"> |
| 1743 | <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>Shape of the n-dimensional tensor. </td></tr> |
| 1744 | <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Linear index specifying the i-th element.</td></tr> |
| 1745 | </table> |
| 1746 | </dd> |
| 1747 | </dl> |
| 1748 | <dl class="section return"><dt>Returns</dt><dd>n-dimensional coordinates. </dd></dl> |
| 1749 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1750 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00308">308</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1751 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1752 | <p>References <a class="el" href="_error_8h_source.xhtml#l00115">ARM_COMPUTE_ERROR_ON_MSG</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00109">Dimensions< T >::num_dimensions()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00074">TensorShape::set()</a>, and <a class="el" href="_tensor_shape_8h_source.xhtml#l00135">TensorShape::total_size()</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1753 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1754 | <p>Referenced by <a class="el" href="_c_p_p_2_box3x3_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::box3x3()</a>, <a class="el" href="_assets_library_8h_source.xhtml#l00435">AssetsLibrary::fill()</a>, <a class="el" href="_c_p_p_2_gaussian3x3_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::gaussian3x3()</a>, <a class="el" href="_c_p_p_2_gaussian5x5_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::gaussian5x5()</a>, <a class="el" href="_c_p_p_2_non_linear_filter_8cpp_source.xhtml#l00036">arm_compute::test::validation::reference::non_linear_filter()</a>, <a class="el" href="_non_maxima_suppression_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::non_maxima_suppression()</a>, <a class="el" href="_c_p_p_2_scale_8cpp_source.xhtml#l00039">arm_compute::test::validation::reference::scale()</a>, <a class="el" href="_c_p_p_2_sobel_8cpp_source.xhtml#l00106">arm_compute::test::validation::reference::sobel()</a>, <a class="el" href="tests_2validation_2_c_p_p_2_utils_8cpp_source.xhtml#l00069">arm_compute::test::validation::transpose()</a>, and <a class="el" href="_validation_8cpp_source.xhtml#l00173">arm_compute::test::validation::validate()</a>.</p> |
| 1755 | <div class="fragment"><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> {</div> |
| 1756 | <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordtype">int</span> num_elements = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.total_size();</div> |
| 1757 | <div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div> |
| 1758 | <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(index < 0 || index >= num_elements, <span class="stringliteral">"Index has to be in [0, num_elements]"</span>);</div> |
| 1759 | <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(num_elements == 0, <span class="stringliteral">"Cannot create coordinate from empty shape"</span>);</div> |
| 1760 | <div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div> |
| 1761 | <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  Coordinates coord{ 0 };</div> |
| 1762 | <div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div> |
| 1763 | <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">for</span>(<span class="keywordtype">int</span> d = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.num_dimensions() - 1; d >= 0; --d)</div> |
| 1764 | <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div> |
| 1765 | <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  num_elements /= <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>[d];</div> |
| 1766 | <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  coord.set(d, index / num_elements);</div> |
| 1767 | <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  index %= num_elements;</div> |
| 1768 | <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  }</div> |
| 1769 | <div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div> |
| 1770 | <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span> coord;</div> |
| 1771 | <div class="line"><a name="l00325"></a><span class="lineno"> 325</span> }</div> |
| 1772 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div> |
| 1773 | <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00115">Error.h:115</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1774 | </div><!-- fragment --> |
| 1775 | </div> |
| 1776 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1777 | <a class="anchor" id="a856b55fc20ddcbdbeb84c35ae27bedac"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1778 | <div class="memitem"> |
| 1779 | <div class="memproto"> |
| 1780 | <table class="mlabels"> |
| 1781 | <tr> |
| 1782 | <td class="mlabels-left"> |
| 1783 | <table class="memname"> |
| 1784 | <tr> |
| 1785 | <td class="memname">bool arm_compute::test::is_in_valid_region </td> |
| 1786 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1787 | <td class="paramtype">const ValidRegion & </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1788 | <td class="paramname"><em>valid_region</em>, </td> |
| 1789 | </tr> |
| 1790 | <tr> |
| 1791 | <td class="paramkey"></td> |
| 1792 | <td></td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1793 | <td class="paramtype">Coordinates </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1794 | <td class="paramname"><em>coord</em> </td> |
| 1795 | </tr> |
| 1796 | <tr> |
| 1797 | <td></td> |
| 1798 | <td>)</td> |
| 1799 | <td></td><td></td> |
| 1800 | </tr> |
| 1801 | </table> |
| 1802 | </td> |
| 1803 | <td class="mlabels-right"> |
| 1804 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 1805 | </tr> |
| 1806 | </table> |
| 1807 | </div><div class="memdoc"> |
| 1808 | |
| 1809 | <p>Check if a coordinate is within a valid region. </p> |
| 1810 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1811 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00355">355</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1812 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1813 | <p>References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00118">ValidRegion::end()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00045">Dimensions< int >::num_max_dimensions</a>, and <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00112">ValidRegion::start()</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1814 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1815 | <p>Referenced by <a class="el" href="_c_p_p_2_non_linear_filter_8cpp_source.xhtml#l00036">arm_compute::test::validation::reference::non_linear_filter()</a>, <a class="el" href="_non_maxima_suppression_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::non_maxima_suppression()</a>, <a class="el" href="_c_p_p_2_sobel_8cpp_source.xhtml#l00106">arm_compute::test::validation::reference::sobel()</a>, and <a class="el" href="_validation_8h_source.xhtml#l00306">arm_compute::test::validation::validate()</a>.</p> |
| 1816 | <div class="fragment"><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> {</div> |
| 1817 | <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">for</span>(<span class="keywordtype">size_t</span> d = 0; d < Coordinates::num_max_dimensions; ++d)</div> |
| 1818 | <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div> |
| 1819 | <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">if</span>(coord[d] < valid_region.start(d) || coord[d] >= valid_region.end(d))</div> |
| 1820 | <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div> |
| 1821 | <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> |
| 1822 | <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div> |
| 1823 | <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  }</div> |
| 1824 | <div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div> |
| 1825 | <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div> |
| 1826 | <div class="line"><a name="l00366"></a><span class="lineno"> 366</span> }</div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1827 | </div><!-- fragment --> |
| 1828 | </div> |
| 1829 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1830 | <a class="anchor" id="aa18932675cbb5eb9c9dbf8ff4d7106c7"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1831 | <div class="memitem"> |
| 1832 | <div class="memproto"> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1833 | <table class="memname"> |
| 1834 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1835 | <td class="memname">std::string arm_compute::test::join </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1836 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1837 | <td class="paramtype">T </td> |
| 1838 | <td class="paramname"><em>first</em>, </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1839 | </tr> |
| 1840 | <tr> |
| 1841 | <td class="paramkey"></td> |
| 1842 | <td></td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1843 | <td class="paramtype">T </td> |
| 1844 | <td class="paramname"><em>last</em>, </td> |
| 1845 | </tr> |
| 1846 | <tr> |
| 1847 | <td class="paramkey"></td> |
| 1848 | <td></td> |
| 1849 | <td class="paramtype">const std::string & </td> |
| 1850 | <td class="paramname"><em>separator</em> </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1851 | </tr> |
| 1852 | <tr> |
| 1853 | <td></td> |
| 1854 | <td>)</td> |
| 1855 | <td></td><td></td> |
| 1856 | </tr> |
| 1857 | </table> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1858 | </div><div class="memdoc"> |
| 1859 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1860 | <p>Helper function to concatenate multiple strings. </p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1861 | <dl class="params"><dt>Parameters</dt><dd> |
| 1862 | <table class="params"> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1863 | <tr><td class="paramdir">[in]</td><td class="paramname">first</td><td><a class="el" href="classarm__compute_1_1_iterator.xhtml" title="Iterator updated by execute_window_loop for each window element. ">Iterator</a> pointing to the first element to be concatenated. </td></tr> |
| 1864 | <tr><td class="paramdir">[in]</td><td class="paramname">last</td><td><a class="el" href="classarm__compute_1_1_iterator.xhtml" title="Iterator updated by execute_window_loop for each window element. ">Iterator</a> pointing behind the last element to be concatenated. </td></tr> |
| 1865 | <tr><td class="paramdir">[in]</td><td class="paramname">separator</td><td>String used to join the elements.</td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1866 | </table> |
| 1867 | </dd> |
| 1868 | </dl> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1869 | <dl class="section return"><dt>Returns</dt><dd>String containing all elements joined by <code>separator</code>. </dd></dl> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1870 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1871 | <p>Definition at line <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00093">93</a> of file <a class="el" href="tests_2framework_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1872 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1873 | <p>References <a class="el" href="accumulate_8cl_source.xhtml#l00041">accumulate()</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1874 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1875 | <p>Referenced by <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00136">join()</a>, and <a class="el" href="_j_s_o_n_printer_8cpp_source.xhtml#l00157">JSONPrinter::print_measurements()</a>.</p> |
| 1876 | <div class="fragment"><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> {</div> |
| 1877 | <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">return</span> <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(std::next(first), last, *first, [&separator](<span class="keyword">const</span> std::string & base, <span class="keyword">const</span> std::string & suffix)</div> |
| 1878 | <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div> |
| 1879 | <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> base + separator + suffix;</div> |
| 1880 | <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  });</div> |
| 1881 | <div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div> |
| 1882 | <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 1883 | </div><!-- fragment --> |
| 1884 | </div> |
| 1885 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 1886 | <a class="anchor" id="a898a0423aace06af0f3a18a26a972a1a"></a> |
| 1887 | <div class="memitem"> |
| 1888 | <div class="memproto"> |
| 1889 | <table class="memname"> |
| 1890 | <tr> |
| 1891 | <td class="memname">std::string arm_compute::test::join </td> |
| 1892 | <td>(</td> |
| 1893 | <td class="paramtype">T && </td> |
| 1894 | <td class="paramname"><em>first</em>, </td> |
| 1895 | </tr> |
| 1896 | <tr> |
| 1897 | <td class="paramkey"></td> |
| 1898 | <td></td> |
| 1899 | <td class="paramtype">T && </td> |
| 1900 | <td class="paramname"><em>last</em>, </td> |
| 1901 | </tr> |
| 1902 | <tr> |
| 1903 | <td class="paramkey"></td> |
| 1904 | <td></td> |
| 1905 | <td class="paramtype">const std::string & </td> |
| 1906 | <td class="paramname"><em>separator</em>, </td> |
| 1907 | </tr> |
| 1908 | <tr> |
| 1909 | <td class="paramkey"></td> |
| 1910 | <td></td> |
| 1911 | <td class="paramtype">UnaryOp && </td> |
| 1912 | <td class="paramname"><em>op</em> </td> |
| 1913 | </tr> |
| 1914 | <tr> |
| 1915 | <td></td> |
| 1916 | <td>)</td> |
| 1917 | <td></td><td></td> |
| 1918 | </tr> |
| 1919 | </table> |
| 1920 | </div><div class="memdoc"> |
| 1921 | |
| 1922 | <p>Helper function to concatenate multiple values. </p> |
| 1923 | <p>All values are converted to std::string using the provided operation before being joined.</p> |
| 1924 | <p>The signature of op has to be equivalent to std::string op(const T::value_type &val).</p> |
| 1925 | <dl class="params"><dt>Parameters</dt><dd> |
| 1926 | <table class="params"> |
| 1927 | <tr><td class="paramdir">[in]</td><td class="paramname">first</td><td><a class="el" href="classarm__compute_1_1_iterator.xhtml" title="Iterator updated by execute_window_loop for each window element. ">Iterator</a> pointing to the first element to be concatenated. </td></tr> |
| 1928 | <tr><td class="paramdir">[in]</td><td class="paramname">last</td><td><a class="el" href="classarm__compute_1_1_iterator.xhtml" title="Iterator updated by execute_window_loop for each window element. ">Iterator</a> pointing behind the last element to be concatenated. </td></tr> |
| 1929 | <tr><td class="paramdir">[in]</td><td class="paramname">separator</td><td>String used to join the elements. </td></tr> |
| 1930 | <tr><td class="paramdir">[in]</td><td class="paramname">op</td><td>Conversion function.</td></tr> |
| 1931 | </table> |
| 1932 | </dd> |
| 1933 | </dl> |
| 1934 | <dl class="section return"><dt>Returns</dt><dd>String containing all elements joined by <code>separator</code>. </dd></dl> |
| 1935 | |
| 1936 | <p>Definition at line <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00117">117</a> of file <a class="el" href="tests_2framework_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1937 | |
| 1938 | <p>References <a class="el" href="accumulate_8cl_source.xhtml#l00041">accumulate()</a>.</p> |
| 1939 | <div class="fragment"><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> {</div> |
| 1940 | <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">return</span> <a class="code" href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">std::accumulate</a>(std::next(first), last, op(*first), [&separator, &op](<span class="keyword">const</span> std::string & base, <span class="keyword">const</span> <span class="keyword">typename</span> T::value_type & suffix)</div> |
| 1941 | <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div> |
| 1942 | <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> base + separator + op(suffix);</div> |
| 1943 | <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  });</div> |
| 1944 | <div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div> |
| 1945 | <div class="ttc" id="accumulate_8cl_xhtml_a00e540076dd545ad59ac7482f8cdf514"><div class="ttname"><a href="accumulate_8cl.xhtml#a00e540076dd545ad59ac7482f8cdf514">accumulate</a></div><div class="ttdeci">__kernel void accumulate(__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *accu_ptr, uint accu_stride_x, uint accu_step_x, uint accu_stride_y, uint accu_step_y, uint accu_offset_first_element_in_bytes)</div><div class="ttdoc">This function accumulates an input image into output image. </div><div class="ttdef"><b>Definition:</b> <a href="accumulate_8cl_source.xhtml#l00041">accumulate.cl:41</a></div></div> |
| 1946 | </div><!-- fragment --> |
| 1947 | </div> |
| 1948 | </div> |
| 1949 | <a class="anchor" id="a69835710fc772315f4e65ce156034530"></a> |
| 1950 | <div class="memitem"> |
| 1951 | <div class="memproto"> |
| 1952 | <table class="memname"> |
| 1953 | <tr> |
| 1954 | <td class="memname">std::string arm_compute::test::join </td> |
| 1955 | <td>(</td> |
| 1956 | <td class="paramtype">T && </td> |
| 1957 | <td class="paramname"><em>first</em>, </td> |
| 1958 | </tr> |
| 1959 | <tr> |
| 1960 | <td class="paramkey"></td> |
| 1961 | <td></td> |
| 1962 | <td class="paramtype">T && </td> |
| 1963 | <td class="paramname"><em>last</em>, </td> |
| 1964 | </tr> |
| 1965 | <tr> |
| 1966 | <td class="paramkey"></td> |
| 1967 | <td></td> |
| 1968 | <td class="paramtype">const std::string & </td> |
| 1969 | <td class="paramname"><em>separator</em> </td> |
| 1970 | </tr> |
| 1971 | <tr> |
| 1972 | <td></td> |
| 1973 | <td>)</td> |
| 1974 | <td></td><td></td> |
| 1975 | </tr> |
| 1976 | </table> |
| 1977 | </div><div class="memdoc"> |
| 1978 | |
| 1979 | <p>Helper function to concatenate multiple values. </p> |
| 1980 | <p>All values are converted to std::string using std::to_string before being joined.</p> |
| 1981 | <dl class="params"><dt>Parameters</dt><dd> |
| 1982 | <table class="params"> |
| 1983 | <tr><td class="paramdir">[in]</td><td class="paramname">first</td><td><a class="el" href="classarm__compute_1_1_iterator.xhtml" title="Iterator updated by execute_window_loop for each window element. ">Iterator</a> pointing to the first element to be concatenated. </td></tr> |
| 1984 | <tr><td class="paramdir">[in]</td><td class="paramname">last</td><td><a class="el" href="classarm__compute_1_1_iterator.xhtml" title="Iterator updated by execute_window_loop for each window element. ">Iterator</a> pointing behind the last element to be concatenated. </td></tr> |
| 1985 | <tr><td class="paramdir">[in]</td><td class="paramname">separator</td><td>String used to join the elements.</td></tr> |
| 1986 | </table> |
| 1987 | </dd> |
| 1988 | </dl> |
| 1989 | <dl class="section return"><dt>Returns</dt><dd>String containing all elements joined by <code>separator</code>. </dd></dl> |
| 1990 | |
| 1991 | <p>Definition at line <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00136">136</a> of file <a class="el" href="tests_2framework_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 1992 | |
| 1993 | <p>References <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00093">join()</a>, and <a class="el" href="_toolchain_support_8h_source.xhtml#l00168">arm_compute::support::cpp11::to_string()</a>.</p> |
| 1994 | <div class="fragment"><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> {</div> |
| 1995 | <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a69835710fc772315f4e65ce156034530">join</a>(std::forward<T>(first), std::forward<T>(last), separator, <a class="code" href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">support::cpp11::to_string</a>);</div> |
| 1996 | <div class="line"><a name="l00139"></a><span class="lineno"> 139</span> }</div> |
| 1997 | <div class="ttc" id="namespacearm__compute_1_1test_1_1framework_xhtml_ace86dc6f3dfa4f3c256b3999ab250c0a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1framework.xhtml#ace86dc6f3dfa4f3c256b3999ab250c0a">arm_compute::test::framework::to_string</a></div><div class="ttdeci">std::string to_string(DatasetMode mode)</div><div class="ttdef"><b>Definition:</b> <a href="_dataset_modes_8h_source.xhtml#l00097">DatasetModes.h:97</a></div></div> |
| 1998 | <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a69835710fc772315f4e65ce156034530"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a69835710fc772315f4e65ce156034530">arm_compute::test::join</a></div><div class="ttdeci">std::string join(T &&first, T &&last, const std::string &separator)</div><div class="ttdoc">Helper function to concatenate multiple values. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2framework_2_utils_8h_source.xhtml#l00136">Utils.h:136</a></div></div> |
| 1999 | </div><!-- fragment --> |
| 2000 | </div> |
| 2001 | </div> |
| 2002 | <a class="anchor" id="ad7d919409d3d679cfbf28b2dae757fec"></a> |
| 2003 | <div class="memitem"> |
| 2004 | <div class="memproto"> |
| 2005 | <table class="memname"> |
| 2006 | <tr> |
| 2007 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2008 | <td>(</td> |
| 2009 | <td class="paramtype">MobileNetDepthwiseConvolution </td> |
| 2010 | <td class="paramname">, </td> |
| 2011 | </tr> |
| 2012 | <tr> |
| 2013 | <td class="paramkey"></td> |
| 2014 | <td></td> |
| 2015 | <td class="paramtype">CLDepthwiseConvolutionFixture </td> |
| 2016 | <td class="paramname">, </td> |
| 2017 | </tr> |
| 2018 | <tr> |
| 2019 | <td class="paramkey"></td> |
| 2020 | <td></td> |
| 2021 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2022 | <td class="paramname">, </td> |
| 2023 | </tr> |
| 2024 | <tr> |
| 2025 | <td class="paramkey"></td> |
| 2026 | <td></td> |
| 2027 | <td class="paramtype">framework::dataset:: </td> |
| 2028 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionDataset(), data_types), framework::dataset::make("Batches",{1}) </td> |
| 2029 | </tr> |
| 2030 | <tr> |
| 2031 | <td></td> |
| 2032 | <td>)</td> |
| 2033 | <td></td><td></td> |
| 2034 | </tr> |
| 2035 | </table> |
| 2036 | </div><div class="memdoc"> |
| 2037 | |
| 2038 | </div> |
| 2039 | </div> |
| 2040 | <a class="anchor" id="a1f4b9eae17da2aebc223b0fdeee74cea"></a> |
| 2041 | <div class="memitem"> |
| 2042 | <div class="memproto"> |
| 2043 | <table class="memname"> |
| 2044 | <tr> |
| 2045 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2046 | <td>(</td> |
| 2047 | <td class="paramtype">MobileNetDepthwiseSeparableConvolutionLayer </td> |
| 2048 | <td class="paramname">, </td> |
| 2049 | </tr> |
| 2050 | <tr> |
| 2051 | <td class="paramkey"></td> |
| 2052 | <td></td> |
| 2053 | <td class="paramtype">CLDepthwiseSeparableConvolutionLayerFixture </td> |
| 2054 | <td class="paramname">, </td> |
| 2055 | </tr> |
| 2056 | <tr> |
| 2057 | <td class="paramkey"></td> |
| 2058 | <td></td> |
| 2059 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2060 | <td class="paramname">, </td> |
| 2061 | </tr> |
| 2062 | <tr> |
| 2063 | <td class="paramkey"></td> |
| 2064 | <td></td> |
| 2065 | <td class="paramtype">framework::dataset:: </td> |
| 2066 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::MobileNetDepthwiseSeparableConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1}) </td> |
| 2067 | </tr> |
| 2068 | <tr> |
| 2069 | <td></td> |
| 2070 | <td>)</td> |
| 2071 | <td></td><td></td> |
| 2072 | </tr> |
| 2073 | </table> |
| 2074 | </div><div class="memdoc"> |
| 2075 | |
| 2076 | </div> |
| 2077 | </div> |
| 2078 | <a class="anchor" id="aa14390b7bed93ce327f5dedd89fc8928"></a> |
| 2079 | <div class="memitem"> |
| 2080 | <div class="memproto"> |
| 2081 | <table class="memname"> |
| 2082 | <tr> |
| 2083 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2084 | <td>(</td> |
| 2085 | <td class="paramtype">SmallROIPoolingLayer </td> |
| 2086 | <td class="paramname">, </td> |
| 2087 | </tr> |
| 2088 | <tr> |
| 2089 | <td class="paramkey"></td> |
| 2090 | <td></td> |
| 2091 | <td class="paramtype">NEROIPoolingLayerFixture </td> |
| 2092 | <td class="paramname">, </td> |
| 2093 | </tr> |
| 2094 | <tr> |
| 2095 | <td class="paramkey"></td> |
| 2096 | <td></td> |
| 2097 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2098 | <td class="paramname">, </td> |
| 2099 | </tr> |
| 2100 | <tr> |
| 2101 | <td class="paramkey"></td> |
| 2102 | <td></td> |
| 2103 | <td class="paramtype">framework::dataset:: </td> |
| 2104 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make("DataType",{DataType::F32})), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 2105 | </tr> |
| 2106 | <tr> |
| 2107 | <td></td> |
| 2108 | <td>)</td> |
| 2109 | <td></td><td></td> |
| 2110 | </tr> |
| 2111 | </table> |
| 2112 | </div><div class="memdoc"> |
| 2113 | |
| 2114 | </div> |
| 2115 | </div> |
| 2116 | <a class="anchor" id="ac7d54f1a842ebb07f378846c21ccbe97"></a> |
| 2117 | <div class="memitem"> |
| 2118 | <div class="memproto"> |
| 2119 | <table class="memname"> |
| 2120 | <tr> |
| 2121 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2122 | <td>(</td> |
| 2123 | <td class="paramtype">SmallROIPoolingLayer </td> |
| 2124 | <td class="paramname">, </td> |
| 2125 | </tr> |
| 2126 | <tr> |
| 2127 | <td class="paramkey"></td> |
| 2128 | <td></td> |
| 2129 | <td class="paramtype">CLROIPoolingLayerFixture </td> |
| 2130 | <td class="paramname">, </td> |
| 2131 | </tr> |
| 2132 | <tr> |
| 2133 | <td class="paramkey"></td> |
| 2134 | <td></td> |
| 2135 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2136 | <td class="paramname">, </td> |
| 2137 | </tr> |
| 2138 | <tr> |
| 2139 | <td class="paramkey"></td> |
| 2140 | <td></td> |
| 2141 | <td class="paramtype">framework::dataset:: </td> |
| 2142 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(), framework::dataset::make("DataType",{DataType::F16, DataType::F32})), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 2143 | </tr> |
| 2144 | <tr> |
| 2145 | <td></td> |
| 2146 | <td>)</td> |
| 2147 | <td></td><td></td> |
| 2148 | </tr> |
| 2149 | </table> |
| 2150 | </div><div class="memdoc"> |
| 2151 | |
| 2152 | </div> |
| 2153 | </div> |
| 2154 | <a class="anchor" id="a6faf0b684dd2c7e5bb111dd8f8f8c6f1"></a> |
| 2155 | <div class="memitem"> |
| 2156 | <div class="memproto"> |
| 2157 | <table class="memname"> |
| 2158 | <tr> |
| 2159 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2160 | <td>(</td> |
| 2161 | <td class="paramtype">Floor </td> |
| 2162 | <td class="paramname">, </td> |
| 2163 | </tr> |
| 2164 | <tr> |
| 2165 | <td class="paramkey"></td> |
| 2166 | <td></td> |
| 2167 | <td class="paramtype">NEFloorFixture </td> |
| 2168 | <td class="paramname">, </td> |
| 2169 | </tr> |
| 2170 | <tr> |
| 2171 | <td class="paramkey"></td> |
| 2172 | <td></td> |
| 2173 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2174 | <td class="paramname">, </td> |
| 2175 | </tr> |
| 2176 | <tr> |
| 2177 | <td class="paramkey"></td> |
| 2178 | <td></td> |
| 2179 | <td class="paramtype">framework::dataset:: </td> |
| 2180 | <td class="paramname"><em>combine</em>datasets::SmallShapes(), data_types </td> |
| 2181 | </tr> |
| 2182 | <tr> |
| 2183 | <td></td> |
| 2184 | <td>)</td> |
| 2185 | <td></td><td></td> |
| 2186 | </tr> |
| 2187 | </table> |
| 2188 | </div><div class="memdoc"> |
| 2189 | |
| 2190 | </div> |
| 2191 | </div> |
| 2192 | <a class="anchor" id="a6e81878e7ca8fecdd9f6e6bcc2a7b794"></a> |
| 2193 | <div class="memitem"> |
| 2194 | <div class="memproto"> |
| 2195 | <table class="memname"> |
| 2196 | <tr> |
| 2197 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2198 | <td>(</td> |
| 2199 | <td class="paramtype">Floor </td> |
| 2200 | <td class="paramname">, </td> |
| 2201 | </tr> |
| 2202 | <tr> |
| 2203 | <td class="paramkey"></td> |
| 2204 | <td></td> |
| 2205 | <td class="paramtype">CLFloorFixture </td> |
| 2206 | <td class="paramname">, </td> |
| 2207 | </tr> |
| 2208 | <tr> |
| 2209 | <td class="paramkey"></td> |
| 2210 | <td></td> |
| 2211 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2212 | <td class="paramname">, </td> |
| 2213 | </tr> |
| 2214 | <tr> |
| 2215 | <td class="paramkey"></td> |
| 2216 | <td></td> |
| 2217 | <td class="paramtype">framework::dataset:: </td> |
| 2218 | <td class="paramname"><em>combine</em>datasets::SmallShapes(), data_types </td> |
| 2219 | </tr> |
| 2220 | <tr> |
| 2221 | <td></td> |
| 2222 | <td>)</td> |
| 2223 | <td></td><td></td> |
| 2224 | </tr> |
| 2225 | </table> |
| 2226 | </div><div class="memdoc"> |
| 2227 | |
| 2228 | </div> |
| 2229 | </div> |
| 2230 | <a class="anchor" id="a2fba44656470195a6245f922a1c264f5"></a> |
| 2231 | <div class="memitem"> |
| 2232 | <div class="memproto"> |
| 2233 | <table class="memname"> |
| 2234 | <tr> |
| 2235 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2236 | <td>(</td> |
| 2237 | <td class="paramtype">YOLOV2BatchNormalizationLayer </td> |
| 2238 | <td class="paramname">, </td> |
| 2239 | </tr> |
| 2240 | <tr> |
| 2241 | <td class="paramkey"></td> |
| 2242 | <td></td> |
| 2243 | <td class="paramtype">CLBatchNormalizationLayerFixture </td> |
| 2244 | <td class="paramname">, </td> |
| 2245 | </tr> |
| 2246 | <tr> |
| 2247 | <td class="paramkey"></td> |
| 2248 | <td></td> |
| 2249 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2250 | <td class="paramname">, </td> |
| 2251 | </tr> |
| 2252 | <tr> |
| 2253 | <td class="paramkey"></td> |
| 2254 | <td></td> |
| 2255 | <td class="paramtype">framework::dataset:: </td> |
| 2256 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2257 | </tr> |
| 2258 | <tr> |
| 2259 | <td></td> |
| 2260 | <td>)</td> |
| 2261 | <td></td><td></td> |
| 2262 | </tr> |
| 2263 | </table> |
| 2264 | </div><div class="memdoc"> |
| 2265 | |
| 2266 | </div> |
| 2267 | </div> |
| 2268 | <a class="anchor" id="a2b1950a60a98dec32a7ca7531fded8ad"></a> |
| 2269 | <div class="memitem"> |
| 2270 | <div class="memproto"> |
| 2271 | <table class="memname"> |
| 2272 | <tr> |
| 2273 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2274 | <td>(</td> |
| 2275 | <td class="paramtype">GoogLeNetInceptionV1GEMM </td> |
| 2276 | <td class="paramname">, </td> |
| 2277 | </tr> |
| 2278 | <tr> |
| 2279 | <td class="paramkey"></td> |
| 2280 | <td></td> |
| 2281 | <td class="paramtype">CLGEMMFixture </td> |
| 2282 | <td class="paramname">, </td> |
| 2283 | </tr> |
| 2284 | <tr> |
| 2285 | <td class="paramkey"></td> |
| 2286 | <td></td> |
| 2287 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2288 | <td class="paramname">, </td> |
| 2289 | </tr> |
| 2290 | <tr> |
| 2291 | <td class="paramkey"></td> |
| 2292 | <td></td> |
| 2293 | <td class="paramtype">framework::dataset:: </td> |
| 2294 | <td class="paramname"><em>combine</em>datasets::GoogLeNetInceptionV1GEMMDataset(), data_types </td> |
| 2295 | </tr> |
| 2296 | <tr> |
| 2297 | <td></td> |
| 2298 | <td>)</td> |
| 2299 | <td></td><td></td> |
| 2300 | </tr> |
| 2301 | </table> |
| 2302 | </div><div class="memdoc"> |
| 2303 | |
| 2304 | </div> |
| 2305 | </div> |
| 2306 | <a class="anchor" id="a70d28ab3b5936a6454451d42f3c170f3"></a> |
| 2307 | <div class="memitem"> |
| 2308 | <div class="memproto"> |
| 2309 | <table class="memname"> |
| 2310 | <tr> |
| 2311 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2312 | <td>(</td> |
| 2313 | <td class="paramtype">AlexNetNormalizationLayer </td> |
| 2314 | <td class="paramname">, </td> |
| 2315 | </tr> |
| 2316 | <tr> |
| 2317 | <td class="paramkey"></td> |
| 2318 | <td></td> |
| 2319 | <td class="paramtype">CLNormalizationLayerFixture </td> |
| 2320 | <td class="paramname">, </td> |
| 2321 | </tr> |
| 2322 | <tr> |
| 2323 | <td class="paramkey"></td> |
| 2324 | <td></td> |
| 2325 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2326 | <td class="paramname">, </td> |
| 2327 | </tr> |
| 2328 | <tr> |
| 2329 | <td class="paramkey"></td> |
| 2330 | <td></td> |
| 2331 | <td class="paramtype">framework::dataset:: </td> |
| 2332 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2333 | </tr> |
| 2334 | <tr> |
| 2335 | <td></td> |
| 2336 | <td>)</td> |
| 2337 | <td></td><td></td> |
| 2338 | </tr> |
| 2339 | </table> |
| 2340 | </div><div class="memdoc"> |
| 2341 | |
| 2342 | </div> |
| 2343 | </div> |
| 2344 | <a class="anchor" id="aef76c7b3cf7d1e3c6fc7ff96804a5753"></a> |
| 2345 | <div class="memitem"> |
| 2346 | <div class="memproto"> |
| 2347 | <table class="memname"> |
| 2348 | <tr> |
| 2349 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2350 | <td>(</td> |
| 2351 | <td class="paramtype">MatrixMultiplyGEMM </td> |
| 2352 | <td class="paramname">, </td> |
| 2353 | </tr> |
| 2354 | <tr> |
| 2355 | <td class="paramkey"></td> |
| 2356 | <td></td> |
| 2357 | <td class="paramtype">CLGEMMFixture </td> |
| 2358 | <td class="paramname">, </td> |
| 2359 | </tr> |
| 2360 | <tr> |
| 2361 | <td class="paramkey"></td> |
| 2362 | <td></td> |
| 2363 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2364 | <td class="paramname">, </td> |
| 2365 | </tr> |
| 2366 | <tr> |
| 2367 | <td class="paramkey"></td> |
| 2368 | <td></td> |
| 2369 | <td class="paramtype">framework::dataset:: </td> |
| 2370 | <td class="paramname"><em>combine</em>datasets::MatrixMultiplyGEMMDataset(), data_types </td> |
| 2371 | </tr> |
| 2372 | <tr> |
| 2373 | <td></td> |
| 2374 | <td>)</td> |
| 2375 | <td></td><td></td> |
| 2376 | </tr> |
| 2377 | </table> |
| 2378 | </div><div class="memdoc"> |
| 2379 | |
| 2380 | </div> |
| 2381 | </div> |
| 2382 | <a class="anchor" id="af935c08091163839aead6ac3023c2147"></a> |
| 2383 | <div class="memitem"> |
| 2384 | <div class="memproto"> |
| 2385 | <table class="memname"> |
| 2386 | <tr> |
| 2387 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2388 | <td>(</td> |
| 2389 | <td class="paramtype">GoogleNetGEMM </td> |
| 2390 | <td class="paramname">, </td> |
| 2391 | </tr> |
| 2392 | <tr> |
| 2393 | <td class="paramkey"></td> |
| 2394 | <td></td> |
| 2395 | <td class="paramtype">CLGEMMFixture </td> |
| 2396 | <td class="paramname">, </td> |
| 2397 | </tr> |
| 2398 | <tr> |
| 2399 | <td class="paramkey"></td> |
| 2400 | <td></td> |
| 2401 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 2402 | <td class="paramname">, </td> |
| 2403 | </tr> |
| 2404 | <tr> |
| 2405 | <td class="paramkey"></td> |
| 2406 | <td></td> |
| 2407 | <td class="paramtype">framework::dataset:: </td> |
| 2408 | <td class="paramname"><em>combine</em>datasets::GoogleNetGEMMDataset(), data_types </td> |
| 2409 | </tr> |
| 2410 | <tr> |
| 2411 | <td></td> |
| 2412 | <td>)</td> |
| 2413 | <td></td><td></td> |
| 2414 | </tr> |
| 2415 | </table> |
| 2416 | </div><div class="memdoc"> |
| 2417 | |
| 2418 | </div> |
| 2419 | </div> |
| 2420 | <a class="anchor" id="a3d815590d056717dde89027c469fba5a"></a> |
| 2421 | <div class="memitem"> |
| 2422 | <div class="memproto"> |
| 2423 | <table class="memname"> |
| 2424 | <tr> |
| 2425 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2426 | <td>(</td> |
| 2427 | <td class="paramtype">AlexNetNormalizationLayer </td> |
| 2428 | <td class="paramname">, </td> |
| 2429 | </tr> |
| 2430 | <tr> |
| 2431 | <td class="paramkey"></td> |
| 2432 | <td></td> |
| 2433 | <td class="paramtype">NENormalizationLayerFixture </td> |
| 2434 | <td class="paramname">, </td> |
| 2435 | </tr> |
| 2436 | <tr> |
| 2437 | <td class="paramkey"></td> |
| 2438 | <td></td> |
| 2439 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2440 | <td class="paramname">, </td> |
| 2441 | </tr> |
| 2442 | <tr> |
| 2443 | <td class="paramkey"></td> |
| 2444 | <td></td> |
| 2445 | <td class="paramtype">framework::dataset:: </td> |
| 2446 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2447 | </tr> |
| 2448 | <tr> |
| 2449 | <td></td> |
| 2450 | <td>)</td> |
| 2451 | <td></td><td></td> |
| 2452 | </tr> |
| 2453 | </table> |
| 2454 | </div><div class="memdoc"> |
| 2455 | |
| 2456 | </div> |
| 2457 | </div> |
| 2458 | <a class="anchor" id="ae5411ce056673117b799d20c1c9484dd"></a> |
| 2459 | <div class="memitem"> |
| 2460 | <div class="memproto"> |
| 2461 | <table class="memname"> |
| 2462 | <tr> |
| 2463 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2464 | <td>(</td> |
| 2465 | <td class="paramtype">AlexNetFullyConnectedLayer </td> |
| 2466 | <td class="paramname">, </td> |
| 2467 | </tr> |
| 2468 | <tr> |
| 2469 | <td class="paramkey"></td> |
| 2470 | <td></td> |
| 2471 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 2472 | <td class="paramname">, </td> |
| 2473 | </tr> |
| 2474 | <tr> |
| 2475 | <td class="paramkey"></td> |
| 2476 | <td></td> |
| 2477 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2478 | <td class="paramname">, </td> |
| 2479 | </tr> |
| 2480 | <tr> |
| 2481 | <td class="paramkey"></td> |
| 2482 | <td></td> |
| 2483 | <td class="paramtype">framework::dataset:: </td> |
| 2484 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2485 | </tr> |
| 2486 | <tr> |
| 2487 | <td></td> |
| 2488 | <td>)</td> |
| 2489 | <td></td><td></td> |
| 2490 | </tr> |
| 2491 | </table> |
| 2492 | </div><div class="memdoc"> |
| 2493 | |
| 2494 | </div> |
| 2495 | </div> |
| 2496 | <a class="anchor" id="a9ba464da0fc25dbd0cb96fe5c61494c4"></a> |
| 2497 | <div class="memitem"> |
| 2498 | <div class="memproto"> |
| 2499 | <table class="memname"> |
| 2500 | <tr> |
| 2501 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2502 | <td>(</td> |
| 2503 | <td class="paramtype">LeNet5 </td> |
| 2504 | <td class="paramname">, </td> |
| 2505 | </tr> |
| 2506 | <tr> |
| 2507 | <td class="paramkey"></td> |
| 2508 | <td></td> |
| 2509 | <td class="paramtype"><a class="el" href="namespacearm__compute_1_1test.xhtml#a6a292ad5fedcc7dea6c6eb1be6d4c0d3">NELeNet5Fixture</a> </td> |
| 2510 | <td class="paramname">, </td> |
| 2511 | </tr> |
| 2512 | <tr> |
| 2513 | <td class="paramkey"></td> |
| 2514 | <td></td> |
| 2515 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2516 | <td class="paramname">, </td> |
| 2517 | </tr> |
| 2518 | <tr> |
| 2519 | <td class="paramkey"></td> |
| 2520 | <td></td> |
| 2521 | <td class="paramtype">framework::dataset:: </td> |
| 2522 | <td class="paramname"><em>make</em>"Batches",{1, 4, 8} </td> |
| 2523 | </tr> |
| 2524 | <tr> |
| 2525 | <td></td> |
| 2526 | <td>)</td> |
| 2527 | <td></td><td></td> |
| 2528 | </tr> |
| 2529 | </table> |
| 2530 | </div><div class="memdoc"> |
| 2531 | |
| 2532 | </div> |
| 2533 | </div> |
| 2534 | <a class="anchor" id="ad52c9735c67d5972016f143cd15ea874"></a> |
| 2535 | <div class="memitem"> |
| 2536 | <div class="memproto"> |
| 2537 | <table class="memname"> |
| 2538 | <tr> |
| 2539 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2540 | <td>(</td> |
| 2541 | <td class="paramtype">AlexNetDirectConvolutionLayer </td> |
| 2542 | <td class="paramname">, </td> |
| 2543 | </tr> |
| 2544 | <tr> |
| 2545 | <td class="paramkey"></td> |
| 2546 | <td></td> |
| 2547 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 2548 | <td class="paramname">, </td> |
| 2549 | </tr> |
| 2550 | <tr> |
| 2551 | <td class="paramkey"></td> |
| 2552 | <td></td> |
| 2553 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2554 | <td class="paramname">, </td> |
| 2555 | </tr> |
| 2556 | <tr> |
| 2557 | <td class="paramkey"></td> |
| 2558 | <td></td> |
| 2559 | <td class="paramtype">framework::dataset:: </td> |
| 2560 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2561 | </tr> |
| 2562 | <tr> |
| 2563 | <td></td> |
| 2564 | <td>)</td> |
| 2565 | <td></td><td></td> |
| 2566 | </tr> |
| 2567 | </table> |
| 2568 | </div><div class="memdoc"> |
| 2569 | |
| 2570 | </div> |
| 2571 | </div> |
| 2572 | <a class="anchor" id="a485c6b6af55e2f12c1b7ef40546c08f7"></a> |
| 2573 | <div class="memitem"> |
| 2574 | <div class="memproto"> |
| 2575 | <table class="memname"> |
| 2576 | <tr> |
| 2577 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2578 | <td>(</td> |
| 2579 | <td class="paramtype">LeNet5 </td> |
| 2580 | <td class="paramname">, </td> |
| 2581 | </tr> |
| 2582 | <tr> |
| 2583 | <td class="paramkey"></td> |
| 2584 | <td></td> |
| 2585 | <td class="paramtype"><a class="el" href="namespacearm__compute_1_1test.xhtml#ae3b678c8477dd5acc5e264eae37b562c">CLLeNet5Fixture</a> </td> |
| 2586 | <td class="paramname">, </td> |
| 2587 | </tr> |
| 2588 | <tr> |
| 2589 | <td class="paramkey"></td> |
| 2590 | <td></td> |
| 2591 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2592 | <td class="paramname">, </td> |
| 2593 | </tr> |
| 2594 | <tr> |
| 2595 | <td class="paramkey"></td> |
| 2596 | <td></td> |
| 2597 | <td class="paramtype">framework::dataset:: </td> |
| 2598 | <td class="paramname"><em>make</em>"Batches",{1, 4, 8} </td> |
| 2599 | </tr> |
| 2600 | <tr> |
| 2601 | <td></td> |
| 2602 | <td>)</td> |
| 2603 | <td></td><td></td> |
| 2604 | </tr> |
| 2605 | </table> |
| 2606 | </div><div class="memdoc"> |
| 2607 | |
| 2608 | </div> |
| 2609 | </div> |
| 2610 | <a class="anchor" id="a365d9325d2bba7fbf9983f80bfe8c796"></a> |
| 2611 | <div class="memitem"> |
| 2612 | <div class="memproto"> |
| 2613 | <table class="memname"> |
| 2614 | <tr> |
| 2615 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2616 | <td>(</td> |
| 2617 | <td class="paramtype">GoogLeNetInceptionV4BatchNormalizationLayer </td> |
| 2618 | <td class="paramname">, </td> |
| 2619 | </tr> |
| 2620 | <tr> |
| 2621 | <td class="paramkey"></td> |
| 2622 | <td></td> |
| 2623 | <td class="paramtype">CLBatchNormalizationLayerFixture </td> |
| 2624 | <td class="paramname">, </td> |
| 2625 | </tr> |
| 2626 | <tr> |
| 2627 | <td class="paramkey"></td> |
| 2628 | <td></td> |
| 2629 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2630 | <td class="paramname">, </td> |
| 2631 | </tr> |
| 2632 | <tr> |
| 2633 | <td class="paramkey"></td> |
| 2634 | <td></td> |
| 2635 | <td class="paramtype">framework::dataset:: </td> |
| 2636 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2637 | </tr> |
| 2638 | <tr> |
| 2639 | <td></td> |
| 2640 | <td>)</td> |
| 2641 | <td></td><td></td> |
| 2642 | </tr> |
| 2643 | </table> |
| 2644 | </div><div class="memdoc"> |
| 2645 | |
| 2646 | </div> |
| 2647 | </div> |
| 2648 | <a class="anchor" id="a9e4dd8377091a877cf271bb34f2ed7da"></a> |
| 2649 | <div class="memitem"> |
| 2650 | <div class="memproto"> |
| 2651 | <table class="memname"> |
| 2652 | <tr> |
| 2653 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2654 | <td>(</td> |
| 2655 | <td class="paramtype">YOLOV2BatchNormalizationLayer </td> |
| 2656 | <td class="paramname">, </td> |
| 2657 | </tr> |
| 2658 | <tr> |
| 2659 | <td class="paramkey"></td> |
| 2660 | <td></td> |
| 2661 | <td class="paramtype">NEBatchNormalizationLayerFixture </td> |
| 2662 | <td class="paramname">, </td> |
| 2663 | </tr> |
| 2664 | <tr> |
| 2665 | <td class="paramkey"></td> |
| 2666 | <td></td> |
| 2667 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2668 | <td class="paramname">, </td> |
| 2669 | </tr> |
| 2670 | <tr> |
| 2671 | <td class="paramkey"></td> |
| 2672 | <td></td> |
| 2673 | <td class="paramtype">framework::dataset:: </td> |
| 2674 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2675 | </tr> |
| 2676 | <tr> |
| 2677 | <td></td> |
| 2678 | <td>)</td> |
| 2679 | <td></td><td></td> |
| 2680 | </tr> |
| 2681 | </table> |
| 2682 | </div><div class="memdoc"> |
| 2683 | |
| 2684 | </div> |
| 2685 | </div> |
| 2686 | <a class="anchor" id="a80d1181d85aefe33d6a8720152dba80b"></a> |
| 2687 | <div class="memitem"> |
| 2688 | <div class="memproto"> |
| 2689 | <table class="memname"> |
| 2690 | <tr> |
| 2691 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2692 | <td>(</td> |
| 2693 | <td class="paramtype">AlexNetConvolutionLayer </td> |
| 2694 | <td class="paramname">, </td> |
| 2695 | </tr> |
| 2696 | <tr> |
| 2697 | <td class="paramkey"></td> |
| 2698 | <td></td> |
| 2699 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 2700 | <td class="paramname">, </td> |
| 2701 | </tr> |
| 2702 | <tr> |
| 2703 | <td class="paramkey"></td> |
| 2704 | <td></td> |
| 2705 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2706 | <td class="paramname">, </td> |
| 2707 | </tr> |
| 2708 | <tr> |
| 2709 | <td class="paramkey"></td> |
| 2710 | <td></td> |
| 2711 | <td class="paramtype">framework::dataset:: </td> |
| 2712 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2713 | </tr> |
| 2714 | <tr> |
| 2715 | <td></td> |
| 2716 | <td>)</td> |
| 2717 | <td></td><td></td> |
| 2718 | </tr> |
| 2719 | </table> |
| 2720 | </div><div class="memdoc"> |
| 2721 | |
| 2722 | </div> |
| 2723 | </div> |
| 2724 | <a class="anchor" id="afc6ba7f0f4b792e2df1270d8f83f138d"></a> |
| 2725 | <div class="memitem"> |
| 2726 | <div class="memproto"> |
| 2727 | <table class="memname"> |
| 2728 | <tr> |
| 2729 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2730 | <td>(</td> |
| 2731 | <td class="paramtype">GoogLeNetInceptionV1NormalizationLayer </td> |
| 2732 | <td class="paramname">, </td> |
| 2733 | </tr> |
| 2734 | <tr> |
| 2735 | <td class="paramkey"></td> |
| 2736 | <td></td> |
| 2737 | <td class="paramtype">CLNormalizationLayerFixture </td> |
| 2738 | <td class="paramname">, </td> |
| 2739 | </tr> |
| 2740 | <tr> |
| 2741 | <td class="paramkey"></td> |
| 2742 | <td></td> |
| 2743 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2744 | <td class="paramname">, </td> |
| 2745 | </tr> |
| 2746 | <tr> |
| 2747 | <td class="paramkey"></td> |
| 2748 | <td></td> |
| 2749 | <td class="paramtype">framework::dataset:: </td> |
| 2750 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2751 | </tr> |
| 2752 | <tr> |
| 2753 | <td></td> |
| 2754 | <td>)</td> |
| 2755 | <td></td><td></td> |
| 2756 | </tr> |
| 2757 | </table> |
| 2758 | </div><div class="memdoc"> |
| 2759 | |
| 2760 | </div> |
| 2761 | </div> |
| 2762 | <a class="anchor" id="a0e999f1d9f9608da6fb4bbde4afc078e"></a> |
| 2763 | <div class="memitem"> |
| 2764 | <div class="memproto"> |
| 2765 | <table class="memname"> |
| 2766 | <tr> |
| 2767 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2768 | <td>(</td> |
| 2769 | <td class="paramtype">AlexNetPoolingLayer </td> |
| 2770 | <td class="paramname">, </td> |
| 2771 | </tr> |
| 2772 | <tr> |
| 2773 | <td class="paramkey"></td> |
| 2774 | <td></td> |
| 2775 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 2776 | <td class="paramname">, </td> |
| 2777 | </tr> |
| 2778 | <tr> |
| 2779 | <td class="paramkey"></td> |
| 2780 | <td></td> |
| 2781 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2782 | <td class="paramname">, </td> |
| 2783 | </tr> |
| 2784 | <tr> |
| 2785 | <td class="paramkey"></td> |
| 2786 | <td></td> |
| 2787 | <td class="paramtype">framework::dataset:: </td> |
| 2788 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2789 | </tr> |
| 2790 | <tr> |
| 2791 | <td></td> |
| 2792 | <td>)</td> |
| 2793 | <td></td><td></td> |
| 2794 | </tr> |
| 2795 | </table> |
| 2796 | </div><div class="memdoc"> |
| 2797 | |
| 2798 | </div> |
| 2799 | </div> |
| 2800 | <a class="anchor" id="a16176f104b13866fa9c0379d3fd9ef1f"></a> |
| 2801 | <div class="memitem"> |
| 2802 | <div class="memproto"> |
| 2803 | <table class="memname"> |
| 2804 | <tr> |
| 2805 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2806 | <td>(</td> |
| 2807 | <td class="paramtype">AlexNetFullyConnectedLayer </td> |
| 2808 | <td class="paramname">, </td> |
| 2809 | </tr> |
| 2810 | <tr> |
| 2811 | <td class="paramkey"></td> |
| 2812 | <td></td> |
| 2813 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 2814 | <td class="paramname">, </td> |
| 2815 | </tr> |
| 2816 | <tr> |
| 2817 | <td class="paramkey"></td> |
| 2818 | <td></td> |
| 2819 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2820 | <td class="paramname">, </td> |
| 2821 | </tr> |
| 2822 | <tr> |
| 2823 | <td class="paramkey"></td> |
| 2824 | <td></td> |
| 2825 | <td class="paramtype">framework::dataset:: </td> |
| 2826 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2827 | </tr> |
| 2828 | <tr> |
| 2829 | <td></td> |
| 2830 | <td>)</td> |
| 2831 | <td></td><td></td> |
| 2832 | </tr> |
| 2833 | </table> |
| 2834 | </div><div class="memdoc"> |
| 2835 | |
| 2836 | </div> |
| 2837 | </div> |
| 2838 | <a class="anchor" id="a1d515029981b77ba7d02f20251013a3b"></a> |
| 2839 | <div class="memitem"> |
| 2840 | <div class="memproto"> |
| 2841 | <table class="memname"> |
| 2842 | <tr> |
| 2843 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2844 | <td>(</td> |
| 2845 | <td class="paramtype">GoogLeNetInceptionV1GEMM </td> |
| 2846 | <td class="paramname">, </td> |
| 2847 | </tr> |
| 2848 | <tr> |
| 2849 | <td class="paramkey"></td> |
| 2850 | <td></td> |
| 2851 | <td class="paramtype">NEGEMMFixture </td> |
| 2852 | <td class="paramname">, </td> |
| 2853 | </tr> |
| 2854 | <tr> |
| 2855 | <td class="paramkey"></td> |
| 2856 | <td></td> |
| 2857 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2858 | <td class="paramname">, </td> |
| 2859 | </tr> |
| 2860 | <tr> |
| 2861 | <td class="paramkey"></td> |
| 2862 | <td></td> |
| 2863 | <td class="paramtype">framework::dataset:: </td> |
| 2864 | <td class="paramname"><em>combine</em>datasets::GoogLeNetInceptionV1GEMMDataset(), data_types </td> |
| 2865 | </tr> |
| 2866 | <tr> |
| 2867 | <td></td> |
| 2868 | <td>)</td> |
| 2869 | <td></td><td></td> |
| 2870 | </tr> |
| 2871 | </table> |
| 2872 | </div><div class="memdoc"> |
| 2873 | |
| 2874 | </div> |
| 2875 | </div> |
| 2876 | <a class="anchor" id="a04a6f03a4f0b85f507735cd409a8b74d"></a> |
| 2877 | <div class="memitem"> |
| 2878 | <div class="memproto"> |
| 2879 | <table class="memname"> |
| 2880 | <tr> |
| 2881 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2882 | <td>(</td> |
| 2883 | <td class="paramtype">GoogLeNetInceptionV1NormalizationLayer </td> |
| 2884 | <td class="paramname">, </td> |
| 2885 | </tr> |
| 2886 | <tr> |
| 2887 | <td class="paramkey"></td> |
| 2888 | <td></td> |
| 2889 | <td class="paramtype">NENormalizationLayerFixture </td> |
| 2890 | <td class="paramname">, </td> |
| 2891 | </tr> |
| 2892 | <tr> |
| 2893 | <td class="paramkey"></td> |
| 2894 | <td></td> |
| 2895 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2896 | <td class="paramname">, </td> |
| 2897 | </tr> |
| 2898 | <tr> |
| 2899 | <td class="paramkey"></td> |
| 2900 | <td></td> |
| 2901 | <td class="paramtype">framework::dataset:: </td> |
| 2902 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2903 | </tr> |
| 2904 | <tr> |
| 2905 | <td></td> |
| 2906 | <td>)</td> |
| 2907 | <td></td><td></td> |
| 2908 | </tr> |
| 2909 | </table> |
| 2910 | </div><div class="memdoc"> |
| 2911 | |
| 2912 | </div> |
| 2913 | </div> |
| 2914 | <a class="anchor" id="ae63877ff99387d51d4abc340a50f1093"></a> |
| 2915 | <div class="memitem"> |
| 2916 | <div class="memproto"> |
| 2917 | <table class="memname"> |
| 2918 | <tr> |
| 2919 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2920 | <td>(</td> |
| 2921 | <td class="paramtype">LeNet5FullyConnectedLayer </td> |
| 2922 | <td class="paramname">, </td> |
| 2923 | </tr> |
| 2924 | <tr> |
| 2925 | <td class="paramkey"></td> |
| 2926 | <td></td> |
| 2927 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 2928 | <td class="paramname">, </td> |
| 2929 | </tr> |
| 2930 | <tr> |
| 2931 | <td class="paramkey"></td> |
| 2932 | <td></td> |
| 2933 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2934 | <td class="paramname">, </td> |
| 2935 | </tr> |
| 2936 | <tr> |
| 2937 | <td class="paramkey"></td> |
| 2938 | <td></td> |
| 2939 | <td class="paramtype">framework::dataset:: </td> |
| 2940 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2941 | </tr> |
| 2942 | <tr> |
| 2943 | <td></td> |
| 2944 | <td>)</td> |
| 2945 | <td></td><td></td> |
| 2946 | </tr> |
| 2947 | </table> |
| 2948 | </div><div class="memdoc"> |
| 2949 | |
| 2950 | </div> |
| 2951 | </div> |
| 2952 | <a class="anchor" id="abfd4fd028574ac46a9d056e7a1ead6f7"></a> |
| 2953 | <div class="memitem"> |
| 2954 | <div class="memproto"> |
| 2955 | <table class="memname"> |
| 2956 | <tr> |
| 2957 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2958 | <td>(</td> |
| 2959 | <td class="paramtype">AlexNetActivationLayer </td> |
| 2960 | <td class="paramname">, </td> |
| 2961 | </tr> |
| 2962 | <tr> |
| 2963 | <td class="paramkey"></td> |
| 2964 | <td></td> |
| 2965 | <td class="paramtype">NEActivationLayerFixture </td> |
| 2966 | <td class="paramname">, </td> |
| 2967 | </tr> |
| 2968 | <tr> |
| 2969 | <td class="paramkey"></td> |
| 2970 | <td></td> |
| 2971 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 2972 | <td class="paramname">, </td> |
| 2973 | </tr> |
| 2974 | <tr> |
| 2975 | <td class="paramkey"></td> |
| 2976 | <td></td> |
| 2977 | <td class="paramtype">framework::dataset:: </td> |
| 2978 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 2979 | </tr> |
| 2980 | <tr> |
| 2981 | <td></td> |
| 2982 | <td>)</td> |
| 2983 | <td></td><td></td> |
| 2984 | </tr> |
| 2985 | </table> |
| 2986 | </div><div class="memdoc"> |
| 2987 | |
| 2988 | </div> |
| 2989 | </div> |
| 2990 | <a class="anchor" id="a09be4cd69df94f0929598f03b32001f0"></a> |
| 2991 | <div class="memitem"> |
| 2992 | <div class="memproto"> |
| 2993 | <table class="memname"> |
| 2994 | <tr> |
| 2995 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 2996 | <td>(</td> |
| 2997 | <td class="paramtype">GoogLeNetInceptionV4BatchNormalizationLayer </td> |
| 2998 | <td class="paramname">, </td> |
| 2999 | </tr> |
| 3000 | <tr> |
| 3001 | <td class="paramkey"></td> |
| 3002 | <td></td> |
| 3003 | <td class="paramtype">NEBatchNormalizationLayerFixture </td> |
| 3004 | <td class="paramname">, </td> |
| 3005 | </tr> |
| 3006 | <tr> |
| 3007 | <td class="paramkey"></td> |
| 3008 | <td></td> |
| 3009 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3010 | <td class="paramname">, </td> |
| 3011 | </tr> |
| 3012 | <tr> |
| 3013 | <td class="paramkey"></td> |
| 3014 | <td></td> |
| 3015 | <td class="paramtype">framework::dataset:: </td> |
| 3016 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3017 | </tr> |
| 3018 | <tr> |
| 3019 | <td></td> |
| 3020 | <td>)</td> |
| 3021 | <td></td><td></td> |
| 3022 | </tr> |
| 3023 | </table> |
| 3024 | </div><div class="memdoc"> |
| 3025 | |
| 3026 | </div> |
| 3027 | </div> |
| 3028 | <a class="anchor" id="aa971f54dfef950c44d8973db82b91e4e"></a> |
| 3029 | <div class="memitem"> |
| 3030 | <div class="memproto"> |
| 3031 | <table class="memname"> |
| 3032 | <tr> |
| 3033 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3034 | <td>(</td> |
| 3035 | <td class="paramtype">GoogLeNetInceptionV1DirectConvolutionLayer </td> |
| 3036 | <td class="paramname">, </td> |
| 3037 | </tr> |
| 3038 | <tr> |
| 3039 | <td class="paramkey"></td> |
| 3040 | <td></td> |
| 3041 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 3042 | <td class="paramname">, </td> |
| 3043 | </tr> |
| 3044 | <tr> |
| 3045 | <td class="paramkey"></td> |
| 3046 | <td></td> |
| 3047 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3048 | <td class="paramname">, </td> |
| 3049 | </tr> |
| 3050 | <tr> |
| 3051 | <td class="paramkey"></td> |
| 3052 | <td></td> |
| 3053 | <td class="paramtype">framework::dataset:: </td> |
| 3054 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3055 | </tr> |
| 3056 | <tr> |
| 3057 | <td></td> |
| 3058 | <td>)</td> |
| 3059 | <td></td><td></td> |
| 3060 | </tr> |
| 3061 | </table> |
| 3062 | </div><div class="memdoc"> |
| 3063 | |
| 3064 | </div> |
| 3065 | </div> |
| 3066 | <a class="anchor" id="a4fc639ce3410d3609337137d44a68ac9"></a> |
| 3067 | <div class="memitem"> |
| 3068 | <div class="memproto"> |
| 3069 | <table class="memname"> |
| 3070 | <tr> |
| 3071 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3072 | <td>(</td> |
| 3073 | <td class="paramtype">AlexNetConvolutionLayer </td> |
| 3074 | <td class="paramname">, </td> |
| 3075 | </tr> |
| 3076 | <tr> |
| 3077 | <td class="paramkey"></td> |
| 3078 | <td></td> |
| 3079 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 3080 | <td class="paramname">, </td> |
| 3081 | </tr> |
| 3082 | <tr> |
| 3083 | <td class="paramkey"></td> |
| 3084 | <td></td> |
| 3085 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3086 | <td class="paramname">, </td> |
| 3087 | </tr> |
| 3088 | <tr> |
| 3089 | <td class="paramkey"></td> |
| 3090 | <td></td> |
| 3091 | <td class="paramtype">framework::dataset:: </td> |
| 3092 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3093 | </tr> |
| 3094 | <tr> |
| 3095 | <td></td> |
| 3096 | <td>)</td> |
| 3097 | <td></td><td></td> |
| 3098 | </tr> |
| 3099 | </table> |
| 3100 | </div><div class="memdoc"> |
| 3101 | |
| 3102 | </div> |
| 3103 | </div> |
| 3104 | <a class="anchor" id="abe7167f9af260495f067dd8f36251a3b"></a> |
| 3105 | <div class="memitem"> |
| 3106 | <div class="memproto"> |
| 3107 | <table class="memname"> |
| 3108 | <tr> |
| 3109 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3110 | <td>(</td> |
| 3111 | <td class="paramtype">AlexNetDirectConvolutionLayer </td> |
| 3112 | <td class="paramname">, </td> |
| 3113 | </tr> |
| 3114 | <tr> |
| 3115 | <td class="paramkey"></td> |
| 3116 | <td></td> |
| 3117 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 3118 | <td class="paramname">, </td> |
| 3119 | </tr> |
| 3120 | <tr> |
| 3121 | <td class="paramkey"></td> |
| 3122 | <td></td> |
| 3123 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3124 | <td class="paramname">, </td> |
| 3125 | </tr> |
| 3126 | <tr> |
| 3127 | <td class="paramkey"></td> |
| 3128 | <td></td> |
| 3129 | <td class="paramtype">framework::dataset:: </td> |
| 3130 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3131 | </tr> |
| 3132 | <tr> |
| 3133 | <td></td> |
| 3134 | <td>)</td> |
| 3135 | <td></td><td></td> |
| 3136 | </tr> |
| 3137 | </table> |
| 3138 | </div><div class="memdoc"> |
| 3139 | |
| 3140 | </div> |
| 3141 | </div> |
| 3142 | <a class="anchor" id="a5dbda869f12c5e1ffa17a2dce7e82609"></a> |
| 3143 | <div class="memitem"> |
| 3144 | <div class="memproto"> |
| 3145 | <table class="memname"> |
| 3146 | <tr> |
| 3147 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3148 | <td>(</td> |
| 3149 | <td class="paramtype">MatrixMultiplyGEMM </td> |
| 3150 | <td class="paramname">, </td> |
| 3151 | </tr> |
| 3152 | <tr> |
| 3153 | <td class="paramkey"></td> |
| 3154 | <td></td> |
| 3155 | <td class="paramtype">NEGEMMFixture </td> |
| 3156 | <td class="paramname">, </td> |
| 3157 | </tr> |
| 3158 | <tr> |
| 3159 | <td class="paramkey"></td> |
| 3160 | <td></td> |
| 3161 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3162 | <td class="paramname">, </td> |
| 3163 | </tr> |
| 3164 | <tr> |
| 3165 | <td class="paramkey"></td> |
| 3166 | <td></td> |
| 3167 | <td class="paramtype">framework::dataset:: </td> |
| 3168 | <td class="paramname"><em>combine</em>datasets::MatrixMultiplyGEMMDataset(), data_types </td> |
| 3169 | </tr> |
| 3170 | <tr> |
| 3171 | <td></td> |
| 3172 | <td>)</td> |
| 3173 | <td></td><td></td> |
| 3174 | </tr> |
| 3175 | </table> |
| 3176 | </div><div class="memdoc"> |
| 3177 | |
| 3178 | </div> |
| 3179 | </div> |
| 3180 | <a class="anchor" id="af33a8fe45c20501be3c2fa7aaa32bf26"></a> |
| 3181 | <div class="memitem"> |
| 3182 | <div class="memproto"> |
| 3183 | <table class="memname"> |
| 3184 | <tr> |
| 3185 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3186 | <td>(</td> |
| 3187 | <td class="paramtype">AlexNetPoolingLayer </td> |
| 3188 | <td class="paramname">, </td> |
| 3189 | </tr> |
| 3190 | <tr> |
| 3191 | <td class="paramkey"></td> |
| 3192 | <td></td> |
| 3193 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 3194 | <td class="paramname">, </td> |
| 3195 | </tr> |
| 3196 | <tr> |
| 3197 | <td class="paramkey"></td> |
| 3198 | <td></td> |
| 3199 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3200 | <td class="paramname">, </td> |
| 3201 | </tr> |
| 3202 | <tr> |
| 3203 | <td class="paramkey"></td> |
| 3204 | <td></td> |
| 3205 | <td class="paramtype">framework::dataset:: </td> |
| 3206 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3207 | </tr> |
| 3208 | <tr> |
| 3209 | <td></td> |
| 3210 | <td>)</td> |
| 3211 | <td></td><td></td> |
| 3212 | </tr> |
| 3213 | </table> |
| 3214 | </div><div class="memdoc"> |
| 3215 | |
| 3216 | </div> |
| 3217 | </div> |
| 3218 | <a class="anchor" id="a0889351f9ee837c8009925f17dd4688b"></a> |
| 3219 | <div class="memitem"> |
| 3220 | <div class="memproto"> |
| 3221 | <table class="memname"> |
| 3222 | <tr> |
| 3223 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3224 | <td>(</td> |
| 3225 | <td class="paramtype">LeNet5PoolingLayer </td> |
| 3226 | <td class="paramname">, </td> |
| 3227 | </tr> |
| 3228 | <tr> |
| 3229 | <td class="paramkey"></td> |
| 3230 | <td></td> |
| 3231 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 3232 | <td class="paramname">, </td> |
| 3233 | </tr> |
| 3234 | <tr> |
| 3235 | <td class="paramkey"></td> |
| 3236 | <td></td> |
| 3237 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3238 | <td class="paramname">, </td> |
| 3239 | </tr> |
| 3240 | <tr> |
| 3241 | <td class="paramkey"></td> |
| 3242 | <td></td> |
| 3243 | <td class="paramtype">framework::dataset:: </td> |
| 3244 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3245 | </tr> |
| 3246 | <tr> |
| 3247 | <td></td> |
| 3248 | <td>)</td> |
| 3249 | <td></td><td></td> |
| 3250 | </tr> |
| 3251 | </table> |
| 3252 | </div><div class="memdoc"> |
| 3253 | |
| 3254 | </div> |
| 3255 | </div> |
| 3256 | <a class="anchor" id="ac9eaa20c5215f43c16202896b7ea9118"></a> |
| 3257 | <div class="memitem"> |
| 3258 | <div class="memproto"> |
| 3259 | <table class="memname"> |
| 3260 | <tr> |
| 3261 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3262 | <td>(</td> |
| 3263 | <td class="paramtype">GoogleNetGEMM </td> |
| 3264 | <td class="paramname">, </td> |
| 3265 | </tr> |
| 3266 | <tr> |
| 3267 | <td class="paramkey"></td> |
| 3268 | <td></td> |
| 3269 | <td class="paramtype">NEGEMMFixture </td> |
| 3270 | <td class="paramname">, </td> |
| 3271 | </tr> |
| 3272 | <tr> |
| 3273 | <td class="paramkey"></td> |
| 3274 | <td></td> |
| 3275 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 3276 | <td class="paramname">, </td> |
| 3277 | </tr> |
| 3278 | <tr> |
| 3279 | <td class="paramkey"></td> |
| 3280 | <td></td> |
| 3281 | <td class="paramtype">framework::dataset:: </td> |
| 3282 | <td class="paramname"><em>combine</em>datasets::GoogleNetGEMMDataset(), data_types </td> |
| 3283 | </tr> |
| 3284 | <tr> |
| 3285 | <td></td> |
| 3286 | <td>)</td> |
| 3287 | <td></td><td></td> |
| 3288 | </tr> |
| 3289 | </table> |
| 3290 | </div><div class="memdoc"> |
| 3291 | |
| 3292 | </div> |
| 3293 | </div> |
| 3294 | <a class="anchor" id="ac18e51057a61f7db456d1c8b9b03aa09"></a> |
| 3295 | <div class="memitem"> |
| 3296 | <div class="memproto"> |
| 3297 | <table class="memname"> |
| 3298 | <tr> |
| 3299 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3300 | <td>(</td> |
| 3301 | <td class="paramtype">LeNet5ConvolutionLayer </td> |
| 3302 | <td class="paramname">, </td> |
| 3303 | </tr> |
| 3304 | <tr> |
| 3305 | <td class="paramkey"></td> |
| 3306 | <td></td> |
| 3307 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 3308 | <td class="paramname">, </td> |
| 3309 | </tr> |
| 3310 | <tr> |
| 3311 | <td class="paramkey"></td> |
| 3312 | <td></td> |
| 3313 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3314 | <td class="paramname">, </td> |
| 3315 | </tr> |
| 3316 | <tr> |
| 3317 | <td class="paramkey"></td> |
| 3318 | <td></td> |
| 3319 | <td class="paramtype">framework::dataset:: </td> |
| 3320 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3321 | </tr> |
| 3322 | <tr> |
| 3323 | <td></td> |
| 3324 | <td>)</td> |
| 3325 | <td></td><td></td> |
| 3326 | </tr> |
| 3327 | </table> |
| 3328 | </div><div class="memdoc"> |
| 3329 | |
| 3330 | </div> |
| 3331 | </div> |
| 3332 | <a class="anchor" id="ae4dd72b2a2e5af0c89c5ce7d2443e115"></a> |
| 3333 | <div class="memitem"> |
| 3334 | <div class="memproto"> |
| 3335 | <table class="memname"> |
| 3336 | <tr> |
| 3337 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3338 | <td>(</td> |
| 3339 | <td class="paramtype">AlexNetNormalizationLayer </td> |
| 3340 | <td class="paramname">, </td> |
| 3341 | </tr> |
| 3342 | <tr> |
| 3343 | <td class="paramkey"></td> |
| 3344 | <td></td> |
| 3345 | <td class="paramtype">CLNormalizationLayerFixture </td> |
| 3346 | <td class="paramname">, </td> |
| 3347 | </tr> |
| 3348 | <tr> |
| 3349 | <td class="paramkey"></td> |
| 3350 | <td></td> |
| 3351 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 3352 | <td class="paramname">, </td> |
| 3353 | </tr> |
| 3354 | <tr> |
| 3355 | <td class="paramkey"></td> |
| 3356 | <td></td> |
| 3357 | <td class="paramtype">framework::dataset:: </td> |
| 3358 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 3359 | </tr> |
| 3360 | <tr> |
| 3361 | <td></td> |
| 3362 | <td>)</td> |
| 3363 | <td></td><td></td> |
| 3364 | </tr> |
| 3365 | </table> |
| 3366 | </div><div class="memdoc"> |
| 3367 | |
| 3368 | </div> |
| 3369 | </div> |
| 3370 | <a class="anchor" id="a2abd12df8c0c36eed83982ee073db2ff"></a> |
| 3371 | <div class="memitem"> |
| 3372 | <div class="memproto"> |
| 3373 | <table class="memname"> |
| 3374 | <tr> |
| 3375 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3376 | <td>(</td> |
| 3377 | <td class="paramtype">YOLOV2BatchNormalizationLayer </td> |
| 3378 | <td class="paramname">, </td> |
| 3379 | </tr> |
| 3380 | <tr> |
| 3381 | <td class="paramkey"></td> |
| 3382 | <td></td> |
| 3383 | <td class="paramtype">CLBatchNormalizationLayerFixture </td> |
| 3384 | <td class="paramname">, </td> |
| 3385 | </tr> |
| 3386 | <tr> |
| 3387 | <td class="paramkey"></td> |
| 3388 | <td></td> |
| 3389 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 3390 | <td class="paramname">, </td> |
| 3391 | </tr> |
| 3392 | <tr> |
| 3393 | <td class="paramkey"></td> |
| 3394 | <td></td> |
| 3395 | <td class="paramtype">framework::dataset:: </td> |
| 3396 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 3397 | </tr> |
| 3398 | <tr> |
| 3399 | <td></td> |
| 3400 | <td>)</td> |
| 3401 | <td></td><td></td> |
| 3402 | </tr> |
| 3403 | </table> |
| 3404 | </div><div class="memdoc"> |
| 3405 | |
| 3406 | </div> |
| 3407 | </div> |
| 3408 | <a class="anchor" id="a69b2d4f81544c38878bd196d49d41360"></a> |
| 3409 | <div class="memitem"> |
| 3410 | <div class="memproto"> |
| 3411 | <table class="memname"> |
| 3412 | <tr> |
| 3413 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3414 | <td>(</td> |
| 3415 | <td class="paramtype">AlexNet </td> |
| 3416 | <td class="paramname">, </td> |
| 3417 | </tr> |
| 3418 | <tr> |
| 3419 | <td class="paramkey"></td> |
| 3420 | <td></td> |
| 3421 | <td class="paramtype">CLAlexNetFixture </td> |
| 3422 | <td class="paramname">, </td> |
| 3423 | </tr> |
| 3424 | <tr> |
| 3425 | <td class="paramkey"></td> |
| 3426 | <td></td> |
| 3427 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3428 | <td class="paramname">, </td> |
| 3429 | </tr> |
| 3430 | <tr> |
| 3431 | <td class="paramkey"></td> |
| 3432 | <td></td> |
| 3433 | <td class="paramtype">framework::dataset:: </td> |
| 3434 | <td class="paramname"><em>combine</em>framework::dataset::make("DataType",{DataType::F16, DataType::F32}), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 3435 | </tr> |
| 3436 | <tr> |
| 3437 | <td></td> |
| 3438 | <td>)</td> |
| 3439 | <td></td><td></td> |
| 3440 | </tr> |
| 3441 | </table> |
| 3442 | </div><div class="memdoc"> |
| 3443 | |
| 3444 | </div> |
| 3445 | </div> |
| 3446 | <a class="anchor" id="ad83dbea09b27679e5c1d7950ae035f3a"></a> |
| 3447 | <div class="memitem"> |
| 3448 | <div class="memproto"> |
| 3449 | <table class="memname"> |
| 3450 | <tr> |
| 3451 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3452 | <td>(</td> |
| 3453 | <td class="paramtype">LeNet5FullyConnectedLayer </td> |
| 3454 | <td class="paramname">, </td> |
| 3455 | </tr> |
| 3456 | <tr> |
| 3457 | <td class="paramkey"></td> |
| 3458 | <td></td> |
| 3459 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 3460 | <td class="paramname">, </td> |
| 3461 | </tr> |
| 3462 | <tr> |
| 3463 | <td class="paramkey"></td> |
| 3464 | <td></td> |
| 3465 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3466 | <td class="paramname">, </td> |
| 3467 | </tr> |
| 3468 | <tr> |
| 3469 | <td class="paramkey"></td> |
| 3470 | <td></td> |
| 3471 | <td class="paramtype">framework::dataset:: </td> |
| 3472 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3473 | </tr> |
| 3474 | <tr> |
| 3475 | <td></td> |
| 3476 | <td>)</td> |
| 3477 | <td></td><td></td> |
| 3478 | </tr> |
| 3479 | </table> |
| 3480 | </div><div class="memdoc"> |
| 3481 | |
| 3482 | </div> |
| 3483 | </div> |
| 3484 | <a class="anchor" id="a7d7ea7b966b70d0931772f51a2cfcdb0"></a> |
| 3485 | <div class="memitem"> |
| 3486 | <div class="memproto"> |
| 3487 | <table class="memname"> |
| 3488 | <tr> |
| 3489 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3490 | <td>(</td> |
| 3491 | <td class="paramtype">LeNet5PoolingLayer </td> |
| 3492 | <td class="paramname">, </td> |
| 3493 | </tr> |
| 3494 | <tr> |
| 3495 | <td class="paramkey"></td> |
| 3496 | <td></td> |
| 3497 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 3498 | <td class="paramname">, </td> |
| 3499 | </tr> |
| 3500 | <tr> |
| 3501 | <td class="paramkey"></td> |
| 3502 | <td></td> |
| 3503 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3504 | <td class="paramname">, </td> |
| 3505 | </tr> |
| 3506 | <tr> |
| 3507 | <td class="paramkey"></td> |
| 3508 | <td></td> |
| 3509 | <td class="paramtype">framework::dataset:: </td> |
| 3510 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3511 | </tr> |
| 3512 | <tr> |
| 3513 | <td></td> |
| 3514 | <td>)</td> |
| 3515 | <td></td><td></td> |
| 3516 | </tr> |
| 3517 | </table> |
| 3518 | </div><div class="memdoc"> |
| 3519 | |
| 3520 | </div> |
| 3521 | </div> |
| 3522 | <a class="anchor" id="a49ab3e510552d29b5698d55ef52674c3"></a> |
| 3523 | <div class="memitem"> |
| 3524 | <div class="memproto"> |
| 3525 | <table class="memname"> |
| 3526 | <tr> |
| 3527 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3528 | <td>(</td> |
| 3529 | <td class="paramtype">VGG16FullyConnectedLayer </td> |
| 3530 | <td class="paramname">, </td> |
| 3531 | </tr> |
| 3532 | <tr> |
| 3533 | <td class="paramkey"></td> |
| 3534 | <td></td> |
| 3535 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 3536 | <td class="paramname">, </td> |
| 3537 | </tr> |
| 3538 | <tr> |
| 3539 | <td class="paramkey"></td> |
| 3540 | <td></td> |
| 3541 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3542 | <td class="paramname">, </td> |
| 3543 | </tr> |
| 3544 | <tr> |
| 3545 | <td class="paramkey"></td> |
| 3546 | <td></td> |
| 3547 | <td class="paramtype">framework::dataset:: </td> |
| 3548 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3549 | </tr> |
| 3550 | <tr> |
| 3551 | <td></td> |
| 3552 | <td>)</td> |
| 3553 | <td></td><td></td> |
| 3554 | </tr> |
| 3555 | </table> |
| 3556 | </div><div class="memdoc"> |
| 3557 | |
| 3558 | </div> |
| 3559 | </div> |
| 3560 | <a class="anchor" id="a70381b263268259b4b6fbff88a0526c4"></a> |
| 3561 | <div class="memitem"> |
| 3562 | <div class="memproto"> |
| 3563 | <table class="memname"> |
| 3564 | <tr> |
| 3565 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3566 | <td>(</td> |
| 3567 | <td class="paramtype">LeNet5ActivationLayer </td> |
| 3568 | <td class="paramname">, </td> |
| 3569 | </tr> |
| 3570 | <tr> |
| 3571 | <td class="paramkey"></td> |
| 3572 | <td></td> |
| 3573 | <td class="paramtype">NEActivationLayerFixture </td> |
| 3574 | <td class="paramname">, </td> |
| 3575 | </tr> |
| 3576 | <tr> |
| 3577 | <td class="paramkey"></td> |
| 3578 | <td></td> |
| 3579 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3580 | <td class="paramname">, </td> |
| 3581 | </tr> |
| 3582 | <tr> |
| 3583 | <td class="paramkey"></td> |
| 3584 | <td></td> |
| 3585 | <td class="paramtype">framework::dataset:: </td> |
| 3586 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3587 | </tr> |
| 3588 | <tr> |
| 3589 | <td></td> |
| 3590 | <td>)</td> |
| 3591 | <td></td><td></td> |
| 3592 | </tr> |
| 3593 | </table> |
| 3594 | </div><div class="memdoc"> |
| 3595 | |
| 3596 | </div> |
| 3597 | </div> |
| 3598 | <a class="anchor" id="a7da7dbada8d8e076c78d1402743b7de9"></a> |
| 3599 | <div class="memitem"> |
| 3600 | <div class="memproto"> |
| 3601 | <table class="memname"> |
| 3602 | <tr> |
| 3603 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3604 | <td>(</td> |
| 3605 | <td class="paramtype">LeNet5ConvolutionLayer </td> |
| 3606 | <td class="paramname">, </td> |
| 3607 | </tr> |
| 3608 | <tr> |
| 3609 | <td class="paramkey"></td> |
| 3610 | <td></td> |
| 3611 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 3612 | <td class="paramname">, </td> |
| 3613 | </tr> |
| 3614 | <tr> |
| 3615 | <td class="paramkey"></td> |
| 3616 | <td></td> |
| 3617 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3618 | <td class="paramname">, </td> |
| 3619 | </tr> |
| 3620 | <tr> |
| 3621 | <td class="paramkey"></td> |
| 3622 | <td></td> |
| 3623 | <td class="paramtype">framework::dataset:: </td> |
| 3624 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3625 | </tr> |
| 3626 | <tr> |
| 3627 | <td></td> |
| 3628 | <td>)</td> |
| 3629 | <td></td><td></td> |
| 3630 | </tr> |
| 3631 | </table> |
| 3632 | </div><div class="memdoc"> |
| 3633 | |
| 3634 | </div> |
| 3635 | </div> |
| 3636 | <a class="anchor" id="adc3f7b3f1d06144af1980e8705253583"></a> |
| 3637 | <div class="memitem"> |
| 3638 | <div class="memproto"> |
| 3639 | <table class="memname"> |
| 3640 | <tr> |
| 3641 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3642 | <td>(</td> |
| 3643 | <td class="paramtype">GoogLeNetInceptionV1DirectConvolutionLayer </td> |
| 3644 | <td class="paramname">, </td> |
| 3645 | </tr> |
| 3646 | <tr> |
| 3647 | <td class="paramkey"></td> |
| 3648 | <td></td> |
| 3649 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 3650 | <td class="paramname">, </td> |
| 3651 | </tr> |
| 3652 | <tr> |
| 3653 | <td class="paramkey"></td> |
| 3654 | <td></td> |
| 3655 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3656 | <td class="paramname">, </td> |
| 3657 | </tr> |
| 3658 | <tr> |
| 3659 | <td class="paramkey"></td> |
| 3660 | <td></td> |
| 3661 | <td class="paramtype">framework::dataset:: </td> |
| 3662 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3663 | </tr> |
| 3664 | <tr> |
| 3665 | <td></td> |
| 3666 | <td>)</td> |
| 3667 | <td></td><td></td> |
| 3668 | </tr> |
| 3669 | </table> |
| 3670 | </div><div class="memdoc"> |
| 3671 | |
| 3672 | </div> |
| 3673 | </div> |
| 3674 | <a class="anchor" id="aa37f90a45822a6f45002ad5fd1e69560"></a> |
| 3675 | <div class="memitem"> |
| 3676 | <div class="memproto"> |
| 3677 | <table class="memname"> |
| 3678 | <tr> |
| 3679 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3680 | <td>(</td> |
| 3681 | <td class="paramtype">YOLOV2BatchNormalizationLayer </td> |
| 3682 | <td class="paramname">, </td> |
| 3683 | </tr> |
| 3684 | <tr> |
| 3685 | <td class="paramkey"></td> |
| 3686 | <td></td> |
| 3687 | <td class="paramtype">NEBatchNormalizationLayerFixture </td> |
| 3688 | <td class="paramname">, </td> |
| 3689 | </tr> |
| 3690 | <tr> |
| 3691 | <td class="paramkey"></td> |
| 3692 | <td></td> |
| 3693 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 3694 | <td class="paramname">, </td> |
| 3695 | </tr> |
| 3696 | <tr> |
| 3697 | <td class="paramkey"></td> |
| 3698 | <td></td> |
| 3699 | <td class="paramtype">framework::dataset:: </td> |
| 3700 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 3701 | </tr> |
| 3702 | <tr> |
| 3703 | <td></td> |
| 3704 | <td>)</td> |
| 3705 | <td></td><td></td> |
| 3706 | </tr> |
| 3707 | </table> |
| 3708 | </div><div class="memdoc"> |
| 3709 | |
| 3710 | </div> |
| 3711 | </div> |
| 3712 | <a class="anchor" id="aa0a358cbff96894b77c9b3cfba3c2db4"></a> |
| 3713 | <div class="memitem"> |
| 3714 | <div class="memproto"> |
| 3715 | <table class="memname"> |
| 3716 | <tr> |
| 3717 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3718 | <td>(</td> |
| 3719 | <td class="paramtype">GoogLeNetInceptionV4DirectConvolutionLayer </td> |
| 3720 | <td class="paramname">, </td> |
| 3721 | </tr> |
| 3722 | <tr> |
| 3723 | <td class="paramkey"></td> |
| 3724 | <td></td> |
| 3725 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 3726 | <td class="paramname">, </td> |
| 3727 | </tr> |
| 3728 | <tr> |
| 3729 | <td class="paramkey"></td> |
| 3730 | <td></td> |
| 3731 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3732 | <td class="paramname">, </td> |
| 3733 | </tr> |
| 3734 | <tr> |
| 3735 | <td class="paramkey"></td> |
| 3736 | <td></td> |
| 3737 | <td class="paramtype">framework::dataset:: </td> |
| 3738 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3739 | </tr> |
| 3740 | <tr> |
| 3741 | <td></td> |
| 3742 | <td>)</td> |
| 3743 | <td></td><td></td> |
| 3744 | </tr> |
| 3745 | </table> |
| 3746 | </div><div class="memdoc"> |
| 3747 | |
| 3748 | </div> |
| 3749 | </div> |
| 3750 | <a class="anchor" id="a962c45074ad2b94899bc7003b3db0509"></a> |
| 3751 | <div class="memitem"> |
| 3752 | <div class="memproto"> |
| 3753 | <table class="memname"> |
| 3754 | <tr> |
| 3755 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3756 | <td>(</td> |
| 3757 | <td class="paramtype">AlexNetNormalizationLayer </td> |
| 3758 | <td class="paramname">, </td> |
| 3759 | </tr> |
| 3760 | <tr> |
| 3761 | <td class="paramkey"></td> |
| 3762 | <td></td> |
| 3763 | <td class="paramtype">NENormalizationLayerFixture </td> |
| 3764 | <td class="paramname">, </td> |
| 3765 | </tr> |
| 3766 | <tr> |
| 3767 | <td class="paramkey"></td> |
| 3768 | <td></td> |
| 3769 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 3770 | <td class="paramname">, </td> |
| 3771 | </tr> |
| 3772 | <tr> |
| 3773 | <td class="paramkey"></td> |
| 3774 | <td></td> |
| 3775 | <td class="paramtype">framework::dataset:: </td> |
| 3776 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetNormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 3777 | </tr> |
| 3778 | <tr> |
| 3779 | <td></td> |
| 3780 | <td>)</td> |
| 3781 | <td></td><td></td> |
| 3782 | </tr> |
| 3783 | </table> |
| 3784 | </div><div class="memdoc"> |
| 3785 | |
| 3786 | </div> |
| 3787 | </div> |
| 3788 | <a class="anchor" id="a903e3acaf54969c5d276058e979a753c"></a> |
| 3789 | <div class="memitem"> |
| 3790 | <div class="memproto"> |
| 3791 | <table class="memname"> |
| 3792 | <tr> |
| 3793 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3794 | <td>(</td> |
| 3795 | <td class="paramtype">GoogLeNetInceptionV1PoolingLayer </td> |
| 3796 | <td class="paramname">, </td> |
| 3797 | </tr> |
| 3798 | <tr> |
| 3799 | <td class="paramkey"></td> |
| 3800 | <td></td> |
| 3801 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 3802 | <td class="paramname">, </td> |
| 3803 | </tr> |
| 3804 | <tr> |
| 3805 | <td class="paramkey"></td> |
| 3806 | <td></td> |
| 3807 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3808 | <td class="paramname">, </td> |
| 3809 | </tr> |
| 3810 | <tr> |
| 3811 | <td class="paramkey"></td> |
| 3812 | <td></td> |
| 3813 | <td class="paramtype">framework::dataset:: </td> |
| 3814 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3815 | </tr> |
| 3816 | <tr> |
| 3817 | <td></td> |
| 3818 | <td>)</td> |
| 3819 | <td></td><td></td> |
| 3820 | </tr> |
| 3821 | </table> |
| 3822 | </div><div class="memdoc"> |
| 3823 | |
| 3824 | </div> |
| 3825 | </div> |
| 3826 | <a class="anchor" id="a3e452462cb397897f476f6d83b468914"></a> |
| 3827 | <div class="memitem"> |
| 3828 | <div class="memproto"> |
| 3829 | <table class="memname"> |
| 3830 | <tr> |
| 3831 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3832 | <td>(</td> |
| 3833 | <td class="paramtype">GoogLeNetInceptionV1ConvolutionLayer </td> |
| 3834 | <td class="paramname">, </td> |
| 3835 | </tr> |
| 3836 | <tr> |
| 3837 | <td class="paramkey"></td> |
| 3838 | <td></td> |
| 3839 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 3840 | <td class="paramname">, </td> |
| 3841 | </tr> |
| 3842 | <tr> |
| 3843 | <td class="paramkey"></td> |
| 3844 | <td></td> |
| 3845 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3846 | <td class="paramname">, </td> |
| 3847 | </tr> |
| 3848 | <tr> |
| 3849 | <td class="paramkey"></td> |
| 3850 | <td></td> |
| 3851 | <td class="paramtype">framework::dataset:: </td> |
| 3852 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3853 | </tr> |
| 3854 | <tr> |
| 3855 | <td></td> |
| 3856 | <td>)</td> |
| 3857 | <td></td><td></td> |
| 3858 | </tr> |
| 3859 | </table> |
| 3860 | </div><div class="memdoc"> |
| 3861 | |
| 3862 | </div> |
| 3863 | </div> |
| 3864 | <a class="anchor" id="ac4a14a4ebd0a6067fa657e06d6e6d9ec"></a> |
| 3865 | <div class="memitem"> |
| 3866 | <div class="memproto"> |
| 3867 | <table class="memname"> |
| 3868 | <tr> |
| 3869 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3870 | <td>(</td> |
| 3871 | <td class="paramtype">GoogLeNetInceptionV1PoolingLayer </td> |
| 3872 | <td class="paramname">, </td> |
| 3873 | </tr> |
| 3874 | <tr> |
| 3875 | <td class="paramkey"></td> |
| 3876 | <td></td> |
| 3877 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 3878 | <td class="paramname">, </td> |
| 3879 | </tr> |
| 3880 | <tr> |
| 3881 | <td class="paramkey"></td> |
| 3882 | <td></td> |
| 3883 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3884 | <td class="paramname">, </td> |
| 3885 | </tr> |
| 3886 | <tr> |
| 3887 | <td class="paramkey"></td> |
| 3888 | <td></td> |
| 3889 | <td class="paramtype">framework::dataset:: </td> |
| 3890 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 3891 | </tr> |
| 3892 | <tr> |
| 3893 | <td></td> |
| 3894 | <td>)</td> |
| 3895 | <td></td><td></td> |
| 3896 | </tr> |
| 3897 | </table> |
| 3898 | </div><div class="memdoc"> |
| 3899 | |
| 3900 | </div> |
| 3901 | </div> |
| 3902 | <a class="anchor" id="a8457ac77df7a142e86354ac08fd5ba30"></a> |
| 3903 | <div class="memitem"> |
| 3904 | <div class="memproto"> |
| 3905 | <table class="memname"> |
| 3906 | <tr> |
| 3907 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3908 | <td>(</td> |
| 3909 | <td class="paramtype">GoogLeNetInceptionV4BatchNormalizationLayer </td> |
| 3910 | <td class="paramname">, </td> |
| 3911 | </tr> |
| 3912 | <tr> |
| 3913 | <td class="paramkey"></td> |
| 3914 | <td></td> |
| 3915 | <td class="paramtype">CLBatchNormalizationLayerFixture </td> |
| 3916 | <td class="paramname">, </td> |
| 3917 | </tr> |
| 3918 | <tr> |
| 3919 | <td class="paramkey"></td> |
| 3920 | <td></td> |
| 3921 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 3922 | <td class="paramname">, </td> |
| 3923 | </tr> |
| 3924 | <tr> |
| 3925 | <td class="paramkey"></td> |
| 3926 | <td></td> |
| 3927 | <td class="paramtype">framework::dataset:: </td> |
| 3928 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 3929 | </tr> |
| 3930 | <tr> |
| 3931 | <td></td> |
| 3932 | <td>)</td> |
| 3933 | <td></td><td></td> |
| 3934 | </tr> |
| 3935 | </table> |
| 3936 | </div><div class="memdoc"> |
| 3937 | |
| 3938 | </div> |
| 3939 | </div> |
| 3940 | <a class="anchor" id="a62af6d63be834c648f251c0497e7b59f"></a> |
| 3941 | <div class="memitem"> |
| 3942 | <div class="memproto"> |
| 3943 | <table class="memname"> |
| 3944 | <tr> |
| 3945 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3946 | <td>(</td> |
| 3947 | <td class="paramtype">GoogLeNetInceptionV1NormalizationLayer </td> |
| 3948 | <td class="paramname">, </td> |
| 3949 | </tr> |
| 3950 | <tr> |
| 3951 | <td class="paramkey"></td> |
| 3952 | <td></td> |
| 3953 | <td class="paramtype">CLNormalizationLayerFixture </td> |
| 3954 | <td class="paramname">, </td> |
| 3955 | </tr> |
| 3956 | <tr> |
| 3957 | <td class="paramkey"></td> |
| 3958 | <td></td> |
| 3959 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 3960 | <td class="paramname">, </td> |
| 3961 | </tr> |
| 3962 | <tr> |
| 3963 | <td class="paramkey"></td> |
| 3964 | <td></td> |
| 3965 | <td class="paramtype">framework::dataset:: </td> |
| 3966 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 3967 | </tr> |
| 3968 | <tr> |
| 3969 | <td></td> |
| 3970 | <td>)</td> |
| 3971 | <td></td><td></td> |
| 3972 | </tr> |
| 3973 | </table> |
| 3974 | </div><div class="memdoc"> |
| 3975 | |
| 3976 | </div> |
| 3977 | </div> |
| 3978 | <a class="anchor" id="add697a0c19a1638874c37d5d15fc2d83"></a> |
| 3979 | <div class="memitem"> |
| 3980 | <div class="memproto"> |
| 3981 | <table class="memname"> |
| 3982 | <tr> |
| 3983 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 3984 | <td>(</td> |
| 3985 | <td class="paramtype">GoogLeNetInceptionV1ActivationLayer </td> |
| 3986 | <td class="paramname">, </td> |
| 3987 | </tr> |
| 3988 | <tr> |
| 3989 | <td class="paramkey"></td> |
| 3990 | <td></td> |
| 3991 | <td class="paramtype">NEActivationLayerFixture </td> |
| 3992 | <td class="paramname">, </td> |
| 3993 | </tr> |
| 3994 | <tr> |
| 3995 | <td class="paramkey"></td> |
| 3996 | <td></td> |
| 3997 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 3998 | <td class="paramname">, </td> |
| 3999 | </tr> |
| 4000 | <tr> |
| 4001 | <td class="paramkey"></td> |
| 4002 | <td></td> |
| 4003 | <td class="paramtype">framework::dataset:: </td> |
| 4004 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4005 | </tr> |
| 4006 | <tr> |
| 4007 | <td></td> |
| 4008 | <td>)</td> |
| 4009 | <td></td><td></td> |
| 4010 | </tr> |
| 4011 | </table> |
| 4012 | </div><div class="memdoc"> |
| 4013 | |
| 4014 | </div> |
| 4015 | </div> |
| 4016 | <a class="anchor" id="a9c30ac20d9eae69db3b004f36d8efaca"></a> |
| 4017 | <div class="memitem"> |
| 4018 | <div class="memproto"> |
| 4019 | <table class="memname"> |
| 4020 | <tr> |
| 4021 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4022 | <td>(</td> |
| 4023 | <td class="paramtype">GoogLeNetInceptionV1ConvolutionLayer </td> |
| 4024 | <td class="paramname">, </td> |
| 4025 | </tr> |
| 4026 | <tr> |
| 4027 | <td class="paramkey"></td> |
| 4028 | <td></td> |
| 4029 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 4030 | <td class="paramname">, </td> |
| 4031 | </tr> |
| 4032 | <tr> |
| 4033 | <td class="paramkey"></td> |
| 4034 | <td></td> |
| 4035 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4036 | <td class="paramname">, </td> |
| 4037 | </tr> |
| 4038 | <tr> |
| 4039 | <td class="paramkey"></td> |
| 4040 | <td></td> |
| 4041 | <td class="paramtype">framework::dataset:: </td> |
| 4042 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4043 | </tr> |
| 4044 | <tr> |
| 4045 | <td></td> |
| 4046 | <td>)</td> |
| 4047 | <td></td><td></td> |
| 4048 | </tr> |
| 4049 | </table> |
| 4050 | </div><div class="memdoc"> |
| 4051 | |
| 4052 | </div> |
| 4053 | </div> |
| 4054 | <a class="anchor" id="a9cc3e01ede750344f389191184d4682d"></a> |
| 4055 | <div class="memitem"> |
| 4056 | <div class="memproto"> |
| 4057 | <table class="memname"> |
| 4058 | <tr> |
| 4059 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4060 | <td>(</td> |
| 4061 | <td class="paramtype">GoogLeNetInceptionV4DirectConvolutionLayer </td> |
| 4062 | <td class="paramname">, </td> |
| 4063 | </tr> |
| 4064 | <tr> |
| 4065 | <td class="paramkey"></td> |
| 4066 | <td></td> |
| 4067 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 4068 | <td class="paramname">, </td> |
| 4069 | </tr> |
| 4070 | <tr> |
| 4071 | <td class="paramkey"></td> |
| 4072 | <td></td> |
| 4073 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4074 | <td class="paramname">, </td> |
| 4075 | </tr> |
| 4076 | <tr> |
| 4077 | <td class="paramkey"></td> |
| 4078 | <td></td> |
| 4079 | <td class="paramtype">framework::dataset:: </td> |
| 4080 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4081 | </tr> |
| 4082 | <tr> |
| 4083 | <td></td> |
| 4084 | <td>)</td> |
| 4085 | <td></td><td></td> |
| 4086 | </tr> |
| 4087 | </table> |
| 4088 | </div><div class="memdoc"> |
| 4089 | |
| 4090 | </div> |
| 4091 | </div> |
| 4092 | <a class="anchor" id="a597d20f8105ae670eccdc44b0486ad4e"></a> |
| 4093 | <div class="memitem"> |
| 4094 | <div class="memproto"> |
| 4095 | <table class="memname"> |
| 4096 | <tr> |
| 4097 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4098 | <td>(</td> |
| 4099 | <td class="paramtype">VGG16FullyConnectedLayer </td> |
| 4100 | <td class="paramname">, </td> |
| 4101 | </tr> |
| 4102 | <tr> |
| 4103 | <td class="paramkey"></td> |
| 4104 | <td></td> |
| 4105 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 4106 | <td class="paramname">, </td> |
| 4107 | </tr> |
| 4108 | <tr> |
| 4109 | <td class="paramkey"></td> |
| 4110 | <td></td> |
| 4111 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4112 | <td class="paramname">, </td> |
| 4113 | </tr> |
| 4114 | <tr> |
| 4115 | <td class="paramkey"></td> |
| 4116 | <td></td> |
| 4117 | <td class="paramtype">framework::dataset:: </td> |
| 4118 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4119 | </tr> |
| 4120 | <tr> |
| 4121 | <td></td> |
| 4122 | <td>)</td> |
| 4123 | <td></td><td></td> |
| 4124 | </tr> |
| 4125 | </table> |
| 4126 | </div><div class="memdoc"> |
| 4127 | |
| 4128 | </div> |
| 4129 | </div> |
| 4130 | <a class="anchor" id="a8cf1a9e06ce42b8ff57bf13aa2c2c047"></a> |
| 4131 | <div class="memitem"> |
| 4132 | <div class="memproto"> |
| 4133 | <table class="memname"> |
| 4134 | <tr> |
| 4135 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4136 | <td>(</td> |
| 4137 | <td class="paramtype">GoogLeNetInceptionV1FullyConnectedLayer </td> |
| 4138 | <td class="paramname">, </td> |
| 4139 | </tr> |
| 4140 | <tr> |
| 4141 | <td class="paramkey"></td> |
| 4142 | <td></td> |
| 4143 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 4144 | <td class="paramname">, </td> |
| 4145 | </tr> |
| 4146 | <tr> |
| 4147 | <td class="paramkey"></td> |
| 4148 | <td></td> |
| 4149 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4150 | <td class="paramname">, </td> |
| 4151 | </tr> |
| 4152 | <tr> |
| 4153 | <td class="paramkey"></td> |
| 4154 | <td></td> |
| 4155 | <td class="paramtype">framework::dataset:: </td> |
| 4156 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4157 | </tr> |
| 4158 | <tr> |
| 4159 | <td></td> |
| 4160 | <td>)</td> |
| 4161 | <td></td><td></td> |
| 4162 | </tr> |
| 4163 | </table> |
| 4164 | </div><div class="memdoc"> |
| 4165 | |
| 4166 | </div> |
| 4167 | </div> |
| 4168 | <a class="anchor" id="aa93e94a58a377d2493868e24d746531b"></a> |
| 4169 | <div class="memitem"> |
| 4170 | <div class="memproto"> |
| 4171 | <table class="memname"> |
| 4172 | <tr> |
| 4173 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4174 | <td>(</td> |
| 4175 | <td class="paramtype">GoogLeNetInceptionV4BatchNormalizationLayer </td> |
| 4176 | <td class="paramname">, </td> |
| 4177 | </tr> |
| 4178 | <tr> |
| 4179 | <td class="paramkey"></td> |
| 4180 | <td></td> |
| 4181 | <td class="paramtype">NEBatchNormalizationLayerFixture </td> |
| 4182 | <td class="paramname">, </td> |
| 4183 | </tr> |
| 4184 | <tr> |
| 4185 | <td class="paramkey"></td> |
| 4186 | <td></td> |
| 4187 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 4188 | <td class="paramname">, </td> |
| 4189 | </tr> |
| 4190 | <tr> |
| 4191 | <td class="paramkey"></td> |
| 4192 | <td></td> |
| 4193 | <td class="paramtype">framework::dataset:: </td> |
| 4194 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 4195 | </tr> |
| 4196 | <tr> |
| 4197 | <td></td> |
| 4198 | <td>)</td> |
| 4199 | <td></td><td></td> |
| 4200 | </tr> |
| 4201 | </table> |
| 4202 | </div><div class="memdoc"> |
| 4203 | |
| 4204 | </div> |
| 4205 | </div> |
| 4206 | <a class="anchor" id="a97400b4e200d00d86169b2afc584d2e3"></a> |
| 4207 | <div class="memitem"> |
| 4208 | <div class="memproto"> |
| 4209 | <table class="memname"> |
| 4210 | <tr> |
| 4211 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4212 | <td>(</td> |
| 4213 | <td class="paramtype">GoogLeNetInceptionV4PoolingLayer </td> |
| 4214 | <td class="paramname">, </td> |
| 4215 | </tr> |
| 4216 | <tr> |
| 4217 | <td class="paramkey"></td> |
| 4218 | <td></td> |
| 4219 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 4220 | <td class="paramname">, </td> |
| 4221 | </tr> |
| 4222 | <tr> |
| 4223 | <td class="paramkey"></td> |
| 4224 | <td></td> |
| 4225 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4226 | <td class="paramname">, </td> |
| 4227 | </tr> |
| 4228 | <tr> |
| 4229 | <td class="paramkey"></td> |
| 4230 | <td></td> |
| 4231 | <td class="paramtype">framework::dataset:: </td> |
| 4232 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4233 | </tr> |
| 4234 | <tr> |
| 4235 | <td></td> |
| 4236 | <td>)</td> |
| 4237 | <td></td><td></td> |
| 4238 | </tr> |
| 4239 | </table> |
| 4240 | </div><div class="memdoc"> |
| 4241 | |
| 4242 | </div> |
| 4243 | </div> |
| 4244 | <a class="anchor" id="ab17878545b689878d626f8e2298d2b1b"></a> |
| 4245 | <div class="memitem"> |
| 4246 | <div class="memproto"> |
| 4247 | <table class="memname"> |
| 4248 | <tr> |
| 4249 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4250 | <td>(</td> |
| 4251 | <td class="paramtype">GoogLeNetInceptionV1NormalizationLayer </td> |
| 4252 | <td class="paramname">, </td> |
| 4253 | </tr> |
| 4254 | <tr> |
| 4255 | <td class="paramkey"></td> |
| 4256 | <td></td> |
| 4257 | <td class="paramtype">NENormalizationLayerFixture </td> |
| 4258 | <td class="paramname">, </td> |
| 4259 | </tr> |
| 4260 | <tr> |
| 4261 | <td class="paramkey"></td> |
| 4262 | <td></td> |
| 4263 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 4264 | <td class="paramname">, </td> |
| 4265 | </tr> |
| 4266 | <tr> |
| 4267 | <td class="paramkey"></td> |
| 4268 | <td></td> |
| 4269 | <td class="paramtype">framework::dataset:: </td> |
| 4270 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1NormalizationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 4271 | </tr> |
| 4272 | <tr> |
| 4273 | <td></td> |
| 4274 | <td>)</td> |
| 4275 | <td></td><td></td> |
| 4276 | </tr> |
| 4277 | </table> |
| 4278 | </div><div class="memdoc"> |
| 4279 | |
| 4280 | </div> |
| 4281 | </div> |
| 4282 | <a class="anchor" id="afd1574f92e2d5a179c3c7f0e8e438bba"></a> |
| 4283 | <div class="memitem"> |
| 4284 | <div class="memproto"> |
| 4285 | <table class="memname"> |
| 4286 | <tr> |
| 4287 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4288 | <td>(</td> |
| 4289 | <td class="paramtype">SqueezeNetDirectConvolutionLayer </td> |
| 4290 | <td class="paramname">, </td> |
| 4291 | </tr> |
| 4292 | <tr> |
| 4293 | <td class="paramkey"></td> |
| 4294 | <td></td> |
| 4295 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 4296 | <td class="paramname">, </td> |
| 4297 | </tr> |
| 4298 | <tr> |
| 4299 | <td class="paramkey"></td> |
| 4300 | <td></td> |
| 4301 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4302 | <td class="paramname">, </td> |
| 4303 | </tr> |
| 4304 | <tr> |
| 4305 | <td class="paramkey"></td> |
| 4306 | <td></td> |
| 4307 | <td class="paramtype">framework::dataset:: </td> |
| 4308 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4309 | </tr> |
| 4310 | <tr> |
| 4311 | <td></td> |
| 4312 | <td>)</td> |
| 4313 | <td></td><td></td> |
| 4314 | </tr> |
| 4315 | </table> |
| 4316 | </div><div class="memdoc"> |
| 4317 | |
| 4318 | </div> |
| 4319 | </div> |
| 4320 | <a class="anchor" id="a4fa3f7aa92292c25a9876a3b1cded7c9"></a> |
| 4321 | <div class="memitem"> |
| 4322 | <div class="memproto"> |
| 4323 | <table class="memname"> |
| 4324 | <tr> |
| 4325 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4326 | <td>(</td> |
| 4327 | <td class="paramtype">AlexNet </td> |
| 4328 | <td class="paramname">, </td> |
| 4329 | </tr> |
| 4330 | <tr> |
| 4331 | <td class="paramkey"></td> |
| 4332 | <td></td> |
| 4333 | <td class="paramtype">NEAlexNetFixture </td> |
| 4334 | <td class="paramname">, </td> |
| 4335 | </tr> |
| 4336 | <tr> |
| 4337 | <td class="paramkey"></td> |
| 4338 | <td></td> |
| 4339 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4340 | <td class="paramname">, </td> |
| 4341 | </tr> |
| 4342 | <tr> |
| 4343 | <td class="paramkey"></td> |
| 4344 | <td></td> |
| 4345 | <td class="paramtype">framework::dataset:: </td> |
| 4346 | <td class="paramname"><em>combine</em>alex_net_data_types, framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 4347 | </tr> |
| 4348 | <tr> |
| 4349 | <td></td> |
| 4350 | <td>)</td> |
| 4351 | <td></td><td></td> |
| 4352 | </tr> |
| 4353 | </table> |
| 4354 | </div><div class="memdoc"> |
| 4355 | |
| 4356 | </div> |
| 4357 | </div> |
| 4358 | <a class="anchor" id="aecd85eec5df288174be9b7e0fac6d1fe"></a> |
| 4359 | <div class="memitem"> |
| 4360 | <div class="memproto"> |
| 4361 | <table class="memname"> |
| 4362 | <tr> |
| 4363 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4364 | <td>(</td> |
| 4365 | <td class="paramtype">GoogLeNetInceptionV4ConvolutionLayer </td> |
| 4366 | <td class="paramname">, </td> |
| 4367 | </tr> |
| 4368 | <tr> |
| 4369 | <td class="paramkey"></td> |
| 4370 | <td></td> |
| 4371 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 4372 | <td class="paramname">, </td> |
| 4373 | </tr> |
| 4374 | <tr> |
| 4375 | <td class="paramkey"></td> |
| 4376 | <td></td> |
| 4377 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4378 | <td class="paramname">, </td> |
| 4379 | </tr> |
| 4380 | <tr> |
| 4381 | <td class="paramkey"></td> |
| 4382 | <td></td> |
| 4383 | <td class="paramtype">framework::dataset:: </td> |
| 4384 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4385 | </tr> |
| 4386 | <tr> |
| 4387 | <td></td> |
| 4388 | <td>)</td> |
| 4389 | <td></td><td></td> |
| 4390 | </tr> |
| 4391 | </table> |
| 4392 | </div><div class="memdoc"> |
| 4393 | |
| 4394 | </div> |
| 4395 | </div> |
| 4396 | <a class="anchor" id="a85078031088e419e7f928e5ad5bbafa9"></a> |
| 4397 | <div class="memitem"> |
| 4398 | <div class="memproto"> |
| 4399 | <table class="memname"> |
| 4400 | <tr> |
| 4401 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4402 | <td>(</td> |
| 4403 | <td class="paramtype">GoogLeNetInceptionV4PoolingLayer </td> |
| 4404 | <td class="paramname">, </td> |
| 4405 | </tr> |
| 4406 | <tr> |
| 4407 | <td class="paramkey"></td> |
| 4408 | <td></td> |
| 4409 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 4410 | <td class="paramname">, </td> |
| 4411 | </tr> |
| 4412 | <tr> |
| 4413 | <td class="paramkey"></td> |
| 4414 | <td></td> |
| 4415 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4416 | <td class="paramname">, </td> |
| 4417 | </tr> |
| 4418 | <tr> |
| 4419 | <td class="paramkey"></td> |
| 4420 | <td></td> |
| 4421 | <td class="paramtype">framework::dataset:: </td> |
| 4422 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4423 | </tr> |
| 4424 | <tr> |
| 4425 | <td></td> |
| 4426 | <td>)</td> |
| 4427 | <td></td><td></td> |
| 4428 | </tr> |
| 4429 | </table> |
| 4430 | </div><div class="memdoc"> |
| 4431 | |
| 4432 | </div> |
| 4433 | </div> |
| 4434 | <a class="anchor" id="a117bc733390c845f7493e6dad0b75191"></a> |
| 4435 | <div class="memitem"> |
| 4436 | <div class="memproto"> |
| 4437 | <table class="memname"> |
| 4438 | <tr> |
| 4439 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4440 | <td>(</td> |
| 4441 | <td class="paramtype">GoogLeNetInceptionV4ActivationLayer </td> |
| 4442 | <td class="paramname">, </td> |
| 4443 | </tr> |
| 4444 | <tr> |
| 4445 | <td class="paramkey"></td> |
| 4446 | <td></td> |
| 4447 | <td class="paramtype">NEActivationLayerFixture </td> |
| 4448 | <td class="paramname">, </td> |
| 4449 | </tr> |
| 4450 | <tr> |
| 4451 | <td class="paramkey"></td> |
| 4452 | <td></td> |
| 4453 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4454 | <td class="paramname">, </td> |
| 4455 | </tr> |
| 4456 | <tr> |
| 4457 | <td class="paramkey"></td> |
| 4458 | <td></td> |
| 4459 | <td class="paramtype">framework::dataset:: </td> |
| 4460 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4461 | </tr> |
| 4462 | <tr> |
| 4463 | <td></td> |
| 4464 | <td>)</td> |
| 4465 | <td></td><td></td> |
| 4466 | </tr> |
| 4467 | </table> |
| 4468 | </div><div class="memdoc"> |
| 4469 | |
| 4470 | </div> |
| 4471 | </div> |
| 4472 | <a class="anchor" id="abe4e6a4ff5c68a5403ec4dc38149d097"></a> |
| 4473 | <div class="memitem"> |
| 4474 | <div class="memproto"> |
| 4475 | <table class="memname"> |
| 4476 | <tr> |
| 4477 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4478 | <td>(</td> |
| 4479 | <td class="paramtype">GoogLeNetInceptionV4ConvolutionLayer </td> |
| 4480 | <td class="paramname">, </td> |
| 4481 | </tr> |
| 4482 | <tr> |
| 4483 | <td class="paramkey"></td> |
| 4484 | <td></td> |
| 4485 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 4486 | <td class="paramname">, </td> |
| 4487 | </tr> |
| 4488 | <tr> |
| 4489 | <td class="paramkey"></td> |
| 4490 | <td></td> |
| 4491 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4492 | <td class="paramname">, </td> |
| 4493 | </tr> |
| 4494 | <tr> |
| 4495 | <td class="paramkey"></td> |
| 4496 | <td></td> |
| 4497 | <td class="paramtype">framework::dataset:: </td> |
| 4498 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4499 | </tr> |
| 4500 | <tr> |
| 4501 | <td></td> |
| 4502 | <td>)</td> |
| 4503 | <td></td><td></td> |
| 4504 | </tr> |
| 4505 | </table> |
| 4506 | </div><div class="memdoc"> |
| 4507 | |
| 4508 | </div> |
| 4509 | </div> |
| 4510 | <a class="anchor" id="a9c7a41c764eb85334c2d75df71d40cc4"></a> |
| 4511 | <div class="memitem"> |
| 4512 | <div class="memproto"> |
| 4513 | <table class="memname"> |
| 4514 | <tr> |
| 4515 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4516 | <td>(</td> |
| 4517 | <td class="paramtype">SqueezeNetDirectConvolutionLayer </td> |
| 4518 | <td class="paramname">, </td> |
| 4519 | </tr> |
| 4520 | <tr> |
| 4521 | <td class="paramkey"></td> |
| 4522 | <td></td> |
| 4523 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 4524 | <td class="paramname">, </td> |
| 4525 | </tr> |
| 4526 | <tr> |
| 4527 | <td class="paramkey"></td> |
| 4528 | <td></td> |
| 4529 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4530 | <td class="paramname">, </td> |
| 4531 | </tr> |
| 4532 | <tr> |
| 4533 | <td class="paramkey"></td> |
| 4534 | <td></td> |
| 4535 | <td class="paramtype">framework::dataset:: </td> |
| 4536 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4537 | </tr> |
| 4538 | <tr> |
| 4539 | <td></td> |
| 4540 | <td>)</td> |
| 4541 | <td></td><td></td> |
| 4542 | </tr> |
| 4543 | </table> |
| 4544 | </div><div class="memdoc"> |
| 4545 | |
| 4546 | </div> |
| 4547 | </div> |
| 4548 | <a class="anchor" id="aa7edcfdce59bb3cb0f1ed784a28fb6d2"></a> |
| 4549 | <div class="memitem"> |
| 4550 | <div class="memproto"> |
| 4551 | <table class="memname"> |
| 4552 | <tr> |
| 4553 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4554 | <td>(</td> |
| 4555 | <td class="paramtype">SqueezeNetPoolingLayer </td> |
| 4556 | <td class="paramname">, </td> |
| 4557 | </tr> |
| 4558 | <tr> |
| 4559 | <td class="paramkey"></td> |
| 4560 | <td></td> |
| 4561 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 4562 | <td class="paramname">, </td> |
| 4563 | </tr> |
| 4564 | <tr> |
| 4565 | <td class="paramkey"></td> |
| 4566 | <td></td> |
| 4567 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4568 | <td class="paramname">, </td> |
| 4569 | </tr> |
| 4570 | <tr> |
| 4571 | <td class="paramkey"></td> |
| 4572 | <td></td> |
| 4573 | <td class="paramtype">framework::dataset:: </td> |
| 4574 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4575 | </tr> |
| 4576 | <tr> |
| 4577 | <td></td> |
| 4578 | <td>)</td> |
| 4579 | <td></td><td></td> |
| 4580 | </tr> |
| 4581 | </table> |
| 4582 | </div><div class="memdoc"> |
| 4583 | |
| 4584 | </div> |
| 4585 | </div> |
| 4586 | <a class="anchor" id="a033a42b308036c4e46a8bef7536d88f9"></a> |
| 4587 | <div class="memitem"> |
| 4588 | <div class="memproto"> |
| 4589 | <table class="memname"> |
| 4590 | <tr> |
| 4591 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4592 | <td>(</td> |
| 4593 | <td class="paramtype">GoogLeNetInceptionV1FullyConnectedLayer </td> |
| 4594 | <td class="paramname">, </td> |
| 4595 | </tr> |
| 4596 | <tr> |
| 4597 | <td class="paramkey"></td> |
| 4598 | <td></td> |
| 4599 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 4600 | <td class="paramname">, </td> |
| 4601 | </tr> |
| 4602 | <tr> |
| 4603 | <td class="paramkey"></td> |
| 4604 | <td></td> |
| 4605 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4606 | <td class="paramname">, </td> |
| 4607 | </tr> |
| 4608 | <tr> |
| 4609 | <td class="paramkey"></td> |
| 4610 | <td></td> |
| 4611 | <td class="paramtype">framework::dataset:: </td> |
| 4612 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4613 | </tr> |
| 4614 | <tr> |
| 4615 | <td></td> |
| 4616 | <td>)</td> |
| 4617 | <td></td><td></td> |
| 4618 | </tr> |
| 4619 | </table> |
| 4620 | </div><div class="memdoc"> |
| 4621 | |
| 4622 | </div> |
| 4623 | </div> |
| 4624 | <a class="anchor" id="a8388dbd479dceaffb21c8fc564c5c420"></a> |
| 4625 | <div class="memitem"> |
| 4626 | <div class="memproto"> |
| 4627 | <table class="memname"> |
| 4628 | <tr> |
| 4629 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4630 | <td>(</td> |
| 4631 | <td class="paramtype">GoogLeNetInceptionV4FullyConnectedLayer </td> |
| 4632 | <td class="paramname">, </td> |
| 4633 | </tr> |
| 4634 | <tr> |
| 4635 | <td class="paramkey"></td> |
| 4636 | <td></td> |
| 4637 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 4638 | <td class="paramname">, </td> |
| 4639 | </tr> |
| 4640 | <tr> |
| 4641 | <td class="paramkey"></td> |
| 4642 | <td></td> |
| 4643 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4644 | <td class="paramname">, </td> |
| 4645 | </tr> |
| 4646 | <tr> |
| 4647 | <td class="paramkey"></td> |
| 4648 | <td></td> |
| 4649 | <td class="paramtype">framework::dataset:: </td> |
| 4650 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4651 | </tr> |
| 4652 | <tr> |
| 4653 | <td></td> |
| 4654 | <td>)</td> |
| 4655 | <td></td><td></td> |
| 4656 | </tr> |
| 4657 | </table> |
| 4658 | </div><div class="memdoc"> |
| 4659 | |
| 4660 | </div> |
| 4661 | </div> |
| 4662 | <a class="anchor" id="ab644feafdb4a10f39c7e4acca32744eb"></a> |
| 4663 | <div class="memitem"> |
| 4664 | <div class="memproto"> |
| 4665 | <table class="memname"> |
| 4666 | <tr> |
| 4667 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4668 | <td>(</td> |
| 4669 | <td class="paramtype">VGG16PoolingLayer </td> |
| 4670 | <td class="paramname">, </td> |
| 4671 | </tr> |
| 4672 | <tr> |
| 4673 | <td class="paramkey"></td> |
| 4674 | <td></td> |
| 4675 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 4676 | <td class="paramname">, </td> |
| 4677 | </tr> |
| 4678 | <tr> |
| 4679 | <td class="paramkey"></td> |
| 4680 | <td></td> |
| 4681 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4682 | <td class="paramname">, </td> |
| 4683 | </tr> |
| 4684 | <tr> |
| 4685 | <td class="paramkey"></td> |
| 4686 | <td></td> |
| 4687 | <td class="paramtype">framework::dataset:: </td> |
| 4688 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4689 | </tr> |
| 4690 | <tr> |
| 4691 | <td></td> |
| 4692 | <td>)</td> |
| 4693 | <td></td><td></td> |
| 4694 | </tr> |
| 4695 | </table> |
| 4696 | </div><div class="memdoc"> |
| 4697 | |
| 4698 | </div> |
| 4699 | </div> |
| 4700 | <a class="anchor" id="aea25c6951a5d4bcfeb95750105154506"></a> |
| 4701 | <div class="memitem"> |
| 4702 | <div class="memproto"> |
| 4703 | <table class="memname"> |
| 4704 | <tr> |
| 4705 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4706 | <td>(</td> |
| 4707 | <td class="paramtype">SqueezeNetConvolutionLayer </td> |
| 4708 | <td class="paramname">, </td> |
| 4709 | </tr> |
| 4710 | <tr> |
| 4711 | <td class="paramkey"></td> |
| 4712 | <td></td> |
| 4713 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 4714 | <td class="paramname">, </td> |
| 4715 | </tr> |
| 4716 | <tr> |
| 4717 | <td class="paramkey"></td> |
| 4718 | <td></td> |
| 4719 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4720 | <td class="paramname">, </td> |
| 4721 | </tr> |
| 4722 | <tr> |
| 4723 | <td class="paramkey"></td> |
| 4724 | <td></td> |
| 4725 | <td class="paramtype">framework::dataset:: </td> |
| 4726 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4727 | </tr> |
| 4728 | <tr> |
| 4729 | <td></td> |
| 4730 | <td>)</td> |
| 4731 | <td></td><td></td> |
| 4732 | </tr> |
| 4733 | </table> |
| 4734 | </div><div class="memdoc"> |
| 4735 | |
| 4736 | </div> |
| 4737 | </div> |
| 4738 | <a class="anchor" id="a70f04129817692e0b5727fb542f9153c"></a> |
| 4739 | <div class="memitem"> |
| 4740 | <div class="memproto"> |
| 4741 | <table class="memname"> |
| 4742 | <tr> |
| 4743 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4744 | <td>(</td> |
| 4745 | <td class="paramtype">SqueezeNetActivationLayer </td> |
| 4746 | <td class="paramname">, </td> |
| 4747 | </tr> |
| 4748 | <tr> |
| 4749 | <td class="paramkey"></td> |
| 4750 | <td></td> |
| 4751 | <td class="paramtype">NEActivationLayerFixture </td> |
| 4752 | <td class="paramname">, </td> |
| 4753 | </tr> |
| 4754 | <tr> |
| 4755 | <td class="paramkey"></td> |
| 4756 | <td></td> |
| 4757 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4758 | <td class="paramname">, </td> |
| 4759 | </tr> |
| 4760 | <tr> |
| 4761 | <td class="paramkey"></td> |
| 4762 | <td></td> |
| 4763 | <td class="paramtype">framework::dataset:: </td> |
| 4764 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4765 | </tr> |
| 4766 | <tr> |
| 4767 | <td></td> |
| 4768 | <td>)</td> |
| 4769 | <td></td><td></td> |
| 4770 | </tr> |
| 4771 | </table> |
| 4772 | </div><div class="memdoc"> |
| 4773 | |
| 4774 | </div> |
| 4775 | </div> |
| 4776 | <a class="anchor" id="a2a91a938df2a246bb92811fe90bf5ee0"></a> |
| 4777 | <div class="memitem"> |
| 4778 | <div class="memproto"> |
| 4779 | <table class="memname"> |
| 4780 | <tr> |
| 4781 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4782 | <td>(</td> |
| 4783 | <td class="paramtype">SqueezeNetConvolutionLayer </td> |
| 4784 | <td class="paramname">, </td> |
| 4785 | </tr> |
| 4786 | <tr> |
| 4787 | <td class="paramkey"></td> |
| 4788 | <td></td> |
| 4789 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 4790 | <td class="paramname">, </td> |
| 4791 | </tr> |
| 4792 | <tr> |
| 4793 | <td class="paramkey"></td> |
| 4794 | <td></td> |
| 4795 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4796 | <td class="paramname">, </td> |
| 4797 | </tr> |
| 4798 | <tr> |
| 4799 | <td class="paramkey"></td> |
| 4800 | <td></td> |
| 4801 | <td class="paramtype">framework::dataset:: </td> |
| 4802 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4803 | </tr> |
| 4804 | <tr> |
| 4805 | <td></td> |
| 4806 | <td>)</td> |
| 4807 | <td></td><td></td> |
| 4808 | </tr> |
| 4809 | </table> |
| 4810 | </div><div class="memdoc"> |
| 4811 | |
| 4812 | </div> |
| 4813 | </div> |
| 4814 | <a class="anchor" id="a91a53a55f1c814837ea5374d1c2095e8"></a> |
| 4815 | <div class="memitem"> |
| 4816 | <div class="memproto"> |
| 4817 | <table class="memname"> |
| 4818 | <tr> |
| 4819 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4820 | <td>(</td> |
| 4821 | <td class="paramtype">AlexNetDirectConvolutionLayer </td> |
| 4822 | <td class="paramname">, </td> |
| 4823 | </tr> |
| 4824 | <tr> |
| 4825 | <td class="paramkey"></td> |
| 4826 | <td></td> |
| 4827 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 4828 | <td class="paramname">, </td> |
| 4829 | </tr> |
| 4830 | <tr> |
| 4831 | <td class="paramkey"></td> |
| 4832 | <td></td> |
| 4833 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 4834 | <td class="paramname">, </td> |
| 4835 | </tr> |
| 4836 | <tr> |
| 4837 | <td class="paramkey"></td> |
| 4838 | <td></td> |
| 4839 | <td class="paramtype">framework::dataset:: </td> |
| 4840 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 4841 | </tr> |
| 4842 | <tr> |
| 4843 | <td></td> |
| 4844 | <td>)</td> |
| 4845 | <td></td><td></td> |
| 4846 | </tr> |
| 4847 | </table> |
| 4848 | </div><div class="memdoc"> |
| 4849 | |
| 4850 | </div> |
| 4851 | </div> |
| 4852 | <a class="anchor" id="a27cf9c407e83adbf0c837240a6bc3534"></a> |
| 4853 | <div class="memitem"> |
| 4854 | <div class="memproto"> |
| 4855 | <table class="memname"> |
| 4856 | <tr> |
| 4857 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4858 | <td>(</td> |
| 4859 | <td class="paramtype">SqueezeNetPoolingLayer </td> |
| 4860 | <td class="paramname">, </td> |
| 4861 | </tr> |
| 4862 | <tr> |
| 4863 | <td class="paramkey"></td> |
| 4864 | <td></td> |
| 4865 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 4866 | <td class="paramname">, </td> |
| 4867 | </tr> |
| 4868 | <tr> |
| 4869 | <td class="paramkey"></td> |
| 4870 | <td></td> |
| 4871 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4872 | <td class="paramname">, </td> |
| 4873 | </tr> |
| 4874 | <tr> |
| 4875 | <td class="paramkey"></td> |
| 4876 | <td></td> |
| 4877 | <td class="paramtype">framework::dataset:: </td> |
| 4878 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4879 | </tr> |
| 4880 | <tr> |
| 4881 | <td></td> |
| 4882 | <td>)</td> |
| 4883 | <td></td><td></td> |
| 4884 | </tr> |
| 4885 | </table> |
| 4886 | </div><div class="memdoc"> |
| 4887 | |
| 4888 | </div> |
| 4889 | </div> |
| 4890 | <a class="anchor" id="ad8c07298bae2d7cd7ace3ad869371b0b"></a> |
| 4891 | <div class="memitem"> |
| 4892 | <div class="memproto"> |
| 4893 | <table class="memname"> |
| 4894 | <tr> |
| 4895 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4896 | <td>(</td> |
| 4897 | <td class="paramtype">AlexNetDirectConvolutionLayer </td> |
| 4898 | <td class="paramname">, </td> |
| 4899 | </tr> |
| 4900 | <tr> |
| 4901 | <td class="paramkey"></td> |
| 4902 | <td></td> |
| 4903 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 4904 | <td class="paramname">, </td> |
| 4905 | </tr> |
| 4906 | <tr> |
| 4907 | <td class="paramkey"></td> |
| 4908 | <td></td> |
| 4909 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 4910 | <td class="paramname">, </td> |
| 4911 | </tr> |
| 4912 | <tr> |
| 4913 | <td class="paramkey"></td> |
| 4914 | <td></td> |
| 4915 | <td class="paramtype">framework::dataset:: </td> |
| 4916 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 4917 | </tr> |
| 4918 | <tr> |
| 4919 | <td></td> |
| 4920 | <td>)</td> |
| 4921 | <td></td><td></td> |
| 4922 | </tr> |
| 4923 | </table> |
| 4924 | </div><div class="memdoc"> |
| 4925 | |
| 4926 | </div> |
| 4927 | </div> |
| 4928 | <a class="anchor" id="a49f6de6126e559d77c77ec1252ead9e1"></a> |
| 4929 | <div class="memitem"> |
| 4930 | <div class="memproto"> |
| 4931 | <table class="memname"> |
| 4932 | <tr> |
| 4933 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4934 | <td>(</td> |
| 4935 | <td class="paramtype">YOLOV2PoolingLayer </td> |
| 4936 | <td class="paramname">, </td> |
| 4937 | </tr> |
| 4938 | <tr> |
| 4939 | <td class="paramkey"></td> |
| 4940 | <td></td> |
| 4941 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 4942 | <td class="paramname">, </td> |
| 4943 | </tr> |
| 4944 | <tr> |
| 4945 | <td class="paramkey"></td> |
| 4946 | <td></td> |
| 4947 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4948 | <td class="paramname">, </td> |
| 4949 | </tr> |
| 4950 | <tr> |
| 4951 | <td class="paramkey"></td> |
| 4952 | <td></td> |
| 4953 | <td class="paramtype">framework::dataset:: </td> |
| 4954 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4955 | </tr> |
| 4956 | <tr> |
| 4957 | <td></td> |
| 4958 | <td>)</td> |
| 4959 | <td></td><td></td> |
| 4960 | </tr> |
| 4961 | </table> |
| 4962 | </div><div class="memdoc"> |
| 4963 | |
| 4964 | </div> |
| 4965 | </div> |
| 4966 | <a class="anchor" id="a4b45a5a8afe0c81a4aafef1ba2ba96e8"></a> |
| 4967 | <div class="memitem"> |
| 4968 | <div class="memproto"> |
| 4969 | <table class="memname"> |
| 4970 | <tr> |
| 4971 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 4972 | <td>(</td> |
| 4973 | <td class="paramtype">GoogLeNetInceptionV4FullyConnectedLayer </td> |
| 4974 | <td class="paramname">, </td> |
| 4975 | </tr> |
| 4976 | <tr> |
| 4977 | <td class="paramkey"></td> |
| 4978 | <td></td> |
| 4979 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 4980 | <td class="paramname">, </td> |
| 4981 | </tr> |
| 4982 | <tr> |
| 4983 | <td class="paramkey"></td> |
| 4984 | <td></td> |
| 4985 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 4986 | <td class="paramname">, </td> |
| 4987 | </tr> |
| 4988 | <tr> |
| 4989 | <td class="paramkey"></td> |
| 4990 | <td></td> |
| 4991 | <td class="paramtype">framework::dataset:: </td> |
| 4992 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 4993 | </tr> |
| 4994 | <tr> |
| 4995 | <td></td> |
| 4996 | <td>)</td> |
| 4997 | <td></td><td></td> |
| 4998 | </tr> |
| 4999 | </table> |
| 5000 | </div><div class="memdoc"> |
| 5001 | |
| 5002 | </div> |
| 5003 | </div> |
| 5004 | <a class="anchor" id="ab10eddd065a1bdb9c6b09cb1e1382f5a"></a> |
| 5005 | <div class="memitem"> |
| 5006 | <div class="memproto"> |
| 5007 | <table class="memname"> |
| 5008 | <tr> |
| 5009 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5010 | <td>(</td> |
| 5011 | <td class="paramtype">VGG16ActivationLayer </td> |
| 5012 | <td class="paramname">, </td> |
| 5013 | </tr> |
| 5014 | <tr> |
| 5015 | <td class="paramkey"></td> |
| 5016 | <td></td> |
| 5017 | <td class="paramtype">NEActivationLayerFixture </td> |
| 5018 | <td class="paramname">, </td> |
| 5019 | </tr> |
| 5020 | <tr> |
| 5021 | <td class="paramkey"></td> |
| 5022 | <td></td> |
| 5023 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 5024 | <td class="paramname">, </td> |
| 5025 | </tr> |
| 5026 | <tr> |
| 5027 | <td class="paramkey"></td> |
| 5028 | <td></td> |
| 5029 | <td class="paramtype">framework::dataset:: </td> |
| 5030 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 5031 | </tr> |
| 5032 | <tr> |
| 5033 | <td></td> |
| 5034 | <td>)</td> |
| 5035 | <td></td><td></td> |
| 5036 | </tr> |
| 5037 | </table> |
| 5038 | </div><div class="memdoc"> |
| 5039 | |
| 5040 | </div> |
| 5041 | </div> |
| 5042 | <a class="anchor" id="ab8549a72a0983f5281a5612979669e2d"></a> |
| 5043 | <div class="memitem"> |
| 5044 | <div class="memproto"> |
| 5045 | <table class="memname"> |
| 5046 | <tr> |
| 5047 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5048 | <td>(</td> |
| 5049 | <td class="paramtype">AlexNetFullyConnectedLayer </td> |
| 5050 | <td class="paramname">, </td> |
| 5051 | </tr> |
| 5052 | <tr> |
| 5053 | <td class="paramkey"></td> |
| 5054 | <td></td> |
| 5055 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 5056 | <td class="paramname">, </td> |
| 5057 | </tr> |
| 5058 | <tr> |
| 5059 | <td class="paramkey"></td> |
| 5060 | <td></td> |
| 5061 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5062 | <td class="paramname">, </td> |
| 5063 | </tr> |
| 5064 | <tr> |
| 5065 | <td class="paramkey"></td> |
| 5066 | <td></td> |
| 5067 | <td class="paramtype">framework::dataset:: </td> |
| 5068 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5069 | </tr> |
| 5070 | <tr> |
| 5071 | <td></td> |
| 5072 | <td>)</td> |
| 5073 | <td></td><td></td> |
| 5074 | </tr> |
| 5075 | </table> |
| 5076 | </div><div class="memdoc"> |
| 5077 | |
| 5078 | </div> |
| 5079 | </div> |
| 5080 | <a class="anchor" id="a8c86e43926d24040dbbc73e5ad638dea"></a> |
| 5081 | <div class="memitem"> |
| 5082 | <div class="memproto"> |
| 5083 | <table class="memname"> |
| 5084 | <tr> |
| 5085 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5086 | <td>(</td> |
| 5087 | <td class="paramtype">AlexNetConvolutionLayer </td> |
| 5088 | <td class="paramname">, </td> |
| 5089 | </tr> |
| 5090 | <tr> |
| 5091 | <td class="paramkey"></td> |
| 5092 | <td></td> |
| 5093 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 5094 | <td class="paramname">, </td> |
| 5095 | </tr> |
| 5096 | <tr> |
| 5097 | <td class="paramkey"></td> |
| 5098 | <td></td> |
| 5099 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5100 | <td class="paramname">, </td> |
| 5101 | </tr> |
| 5102 | <tr> |
| 5103 | <td class="paramkey"></td> |
| 5104 | <td></td> |
| 5105 | <td class="paramtype">framework::dataset:: </td> |
| 5106 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5107 | </tr> |
| 5108 | <tr> |
| 5109 | <td></td> |
| 5110 | <td>)</td> |
| 5111 | <td></td><td></td> |
| 5112 | </tr> |
| 5113 | </table> |
| 5114 | </div><div class="memdoc"> |
| 5115 | |
| 5116 | </div> |
| 5117 | </div> |
| 5118 | <a class="anchor" id="afd017468a129b6650b73cb65ecc40516"></a> |
| 5119 | <div class="memitem"> |
| 5120 | <div class="memproto"> |
| 5121 | <table class="memname"> |
| 5122 | <tr> |
| 5123 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5124 | <td>(</td> |
| 5125 | <td class="paramtype">VGG16PoolingLayer </td> |
| 5126 | <td class="paramname">, </td> |
| 5127 | </tr> |
| 5128 | <tr> |
| 5129 | <td class="paramkey"></td> |
| 5130 | <td></td> |
| 5131 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 5132 | <td class="paramname">, </td> |
| 5133 | </tr> |
| 5134 | <tr> |
| 5135 | <td class="paramkey"></td> |
| 5136 | <td></td> |
| 5137 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 5138 | <td class="paramname">, </td> |
| 5139 | </tr> |
| 5140 | <tr> |
| 5141 | <td class="paramkey"></td> |
| 5142 | <td></td> |
| 5143 | <td class="paramtype">framework::dataset:: </td> |
| 5144 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 5145 | </tr> |
| 5146 | <tr> |
| 5147 | <td></td> |
| 5148 | <td>)</td> |
| 5149 | <td></td><td></td> |
| 5150 | </tr> |
| 5151 | </table> |
| 5152 | </div><div class="memdoc"> |
| 5153 | |
| 5154 | </div> |
| 5155 | </div> |
| 5156 | <a class="anchor" id="a959373f15eeea41ce740f0bc0ce2244a"></a> |
| 5157 | <div class="memitem"> |
| 5158 | <div class="memproto"> |
| 5159 | <table class="memname"> |
| 5160 | <tr> |
| 5161 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5162 | <td>(</td> |
| 5163 | <td class="paramtype">GoogLeNetInceptionV1DirectConvolutionLayer </td> |
| 5164 | <td class="paramname">, </td> |
| 5165 | </tr> |
| 5166 | <tr> |
| 5167 | <td class="paramkey"></td> |
| 5168 | <td></td> |
| 5169 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 5170 | <td class="paramname">, </td> |
| 5171 | </tr> |
| 5172 | <tr> |
| 5173 | <td class="paramkey"></td> |
| 5174 | <td></td> |
| 5175 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5176 | <td class="paramname">, </td> |
| 5177 | </tr> |
| 5178 | <tr> |
| 5179 | <td class="paramkey"></td> |
| 5180 | <td></td> |
| 5181 | <td class="paramtype">framework::dataset:: </td> |
| 5182 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5183 | </tr> |
| 5184 | <tr> |
| 5185 | <td></td> |
| 5186 | <td>)</td> |
| 5187 | <td></td><td></td> |
| 5188 | </tr> |
| 5189 | </table> |
| 5190 | </div><div class="memdoc"> |
| 5191 | |
| 5192 | </div> |
| 5193 | </div> |
| 5194 | <a class="anchor" id="a981537b01124fe1025ab51dfe0dde1ee"></a> |
| 5195 | <div class="memitem"> |
| 5196 | <div class="memproto"> |
| 5197 | <table class="memname"> |
| 5198 | <tr> |
| 5199 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5200 | <td>(</td> |
| 5201 | <td class="paramtype">GoogLeNetInceptionV1DirectConvolutionLayer </td> |
| 5202 | <td class="paramname">, </td> |
| 5203 | </tr> |
| 5204 | <tr> |
| 5205 | <td class="paramkey"></td> |
| 5206 | <td></td> |
| 5207 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 5208 | <td class="paramname">, </td> |
| 5209 | </tr> |
| 5210 | <tr> |
| 5211 | <td class="paramkey"></td> |
| 5212 | <td></td> |
| 5213 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5214 | <td class="paramname">, </td> |
| 5215 | </tr> |
| 5216 | <tr> |
| 5217 | <td class="paramkey"></td> |
| 5218 | <td></td> |
| 5219 | <td class="paramtype">framework::dataset:: </td> |
| 5220 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5221 | </tr> |
| 5222 | <tr> |
| 5223 | <td></td> |
| 5224 | <td>)</td> |
| 5225 | <td></td><td></td> |
| 5226 | </tr> |
| 5227 | </table> |
| 5228 | </div><div class="memdoc"> |
| 5229 | |
| 5230 | </div> |
| 5231 | </div> |
| 5232 | <a class="anchor" id="ac62a5389a4a60e89fabb6bb2153adfc5"></a> |
| 5233 | <div class="memitem"> |
| 5234 | <div class="memproto"> |
| 5235 | <table class="memname"> |
| 5236 | <tr> |
| 5237 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5238 | <td>(</td> |
| 5239 | <td class="paramtype">AlexNetConvolutionLayer </td> |
| 5240 | <td class="paramname">, </td> |
| 5241 | </tr> |
| 5242 | <tr> |
| 5243 | <td class="paramkey"></td> |
| 5244 | <td></td> |
| 5245 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 5246 | <td class="paramname">, </td> |
| 5247 | </tr> |
| 5248 | <tr> |
| 5249 | <td class="paramkey"></td> |
| 5250 | <td></td> |
| 5251 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5252 | <td class="paramname">, </td> |
| 5253 | </tr> |
| 5254 | <tr> |
| 5255 | <td class="paramkey"></td> |
| 5256 | <td></td> |
| 5257 | <td class="paramtype">framework::dataset:: </td> |
| 5258 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5259 | </tr> |
| 5260 | <tr> |
| 5261 | <td></td> |
| 5262 | <td>)</td> |
| 5263 | <td></td><td></td> |
| 5264 | </tr> |
| 5265 | </table> |
| 5266 | </div><div class="memdoc"> |
| 5267 | |
| 5268 | </div> |
| 5269 | </div> |
| 5270 | <a class="anchor" id="a8050efac909e6e8fce5791d2205fe0a8"></a> |
| 5271 | <div class="memitem"> |
| 5272 | <div class="memproto"> |
| 5273 | <table class="memname"> |
| 5274 | <tr> |
| 5275 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5276 | <td>(</td> |
| 5277 | <td class="paramtype">AlexNetPoolingLayer </td> |
| 5278 | <td class="paramname">, </td> |
| 5279 | </tr> |
| 5280 | <tr> |
| 5281 | <td class="paramkey"></td> |
| 5282 | <td></td> |
| 5283 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 5284 | <td class="paramname">, </td> |
| 5285 | </tr> |
| 5286 | <tr> |
| 5287 | <td class="paramkey"></td> |
| 5288 | <td></td> |
| 5289 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5290 | <td class="paramname">, </td> |
| 5291 | </tr> |
| 5292 | <tr> |
| 5293 | <td class="paramkey"></td> |
| 5294 | <td></td> |
| 5295 | <td class="paramtype">framework::dataset:: </td> |
| 5296 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5297 | </tr> |
| 5298 | <tr> |
| 5299 | <td></td> |
| 5300 | <td>)</td> |
| 5301 | <td></td><td></td> |
| 5302 | </tr> |
| 5303 | </table> |
| 5304 | </div><div class="memdoc"> |
| 5305 | |
| 5306 | </div> |
| 5307 | </div> |
| 5308 | <a class="anchor" id="a572b94c09ce496eda95d8d544dc1c4d1"></a> |
| 5309 | <div class="memitem"> |
| 5310 | <div class="memproto"> |
| 5311 | <table class="memname"> |
| 5312 | <tr> |
| 5313 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5314 | <td>(</td> |
| 5315 | <td class="paramtype">YOLOV2ActivationLayer </td> |
| 5316 | <td class="paramname">, </td> |
| 5317 | </tr> |
| 5318 | <tr> |
| 5319 | <td class="paramkey"></td> |
| 5320 | <td></td> |
| 5321 | <td class="paramtype">NEActivationLayerFixture </td> |
| 5322 | <td class="paramname">, </td> |
| 5323 | </tr> |
| 5324 | <tr> |
| 5325 | <td class="paramkey"></td> |
| 5326 | <td></td> |
| 5327 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 5328 | <td class="paramname">, </td> |
| 5329 | </tr> |
| 5330 | <tr> |
| 5331 | <td class="paramkey"></td> |
| 5332 | <td></td> |
| 5333 | <td class="paramtype">framework::dataset:: </td> |
| 5334 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 5335 | </tr> |
| 5336 | <tr> |
| 5337 | <td></td> |
| 5338 | <td>)</td> |
| 5339 | <td></td><td></td> |
| 5340 | </tr> |
| 5341 | </table> |
| 5342 | </div><div class="memdoc"> |
| 5343 | |
| 5344 | </div> |
| 5345 | </div> |
| 5346 | <a class="anchor" id="a4325316dca63988d0c63c8e761143557"></a> |
| 5347 | <div class="memitem"> |
| 5348 | <div class="memproto"> |
| 5349 | <table class="memname"> |
| 5350 | <tr> |
| 5351 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5352 | <td>(</td> |
| 5353 | <td class="paramtype">AlexNetFullyConnectedLayer </td> |
| 5354 | <td class="paramname">, </td> |
| 5355 | </tr> |
| 5356 | <tr> |
| 5357 | <td class="paramkey"></td> |
| 5358 | <td></td> |
| 5359 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 5360 | <td class="paramname">, </td> |
| 5361 | </tr> |
| 5362 | <tr> |
| 5363 | <td class="paramkey"></td> |
| 5364 | <td></td> |
| 5365 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5366 | <td class="paramname">, </td> |
| 5367 | </tr> |
| 5368 | <tr> |
| 5369 | <td class="paramkey"></td> |
| 5370 | <td></td> |
| 5371 | <td class="paramtype">framework::dataset:: </td> |
| 5372 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetFullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5373 | </tr> |
| 5374 | <tr> |
| 5375 | <td></td> |
| 5376 | <td>)</td> |
| 5377 | <td></td><td></td> |
| 5378 | </tr> |
| 5379 | </table> |
| 5380 | </div><div class="memdoc"> |
| 5381 | |
| 5382 | </div> |
| 5383 | </div> |
| 5384 | <a class="anchor" id="a0a1da94fb11977ec74784861c2c56246"></a> |
| 5385 | <div class="memitem"> |
| 5386 | <div class="memproto"> |
| 5387 | <table class="memname"> |
| 5388 | <tr> |
| 5389 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5390 | <td>(</td> |
| 5391 | <td class="paramtype">LeNet5PoolingLayer </td> |
| 5392 | <td class="paramname">, </td> |
| 5393 | </tr> |
| 5394 | <tr> |
| 5395 | <td class="paramkey"></td> |
| 5396 | <td></td> |
| 5397 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 5398 | <td class="paramname">, </td> |
| 5399 | </tr> |
| 5400 | <tr> |
| 5401 | <td class="paramkey"></td> |
| 5402 | <td></td> |
| 5403 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5404 | <td class="paramname">, </td> |
| 5405 | </tr> |
| 5406 | <tr> |
| 5407 | <td class="paramkey"></td> |
| 5408 | <td></td> |
| 5409 | <td class="paramtype">framework::dataset:: </td> |
| 5410 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5411 | </tr> |
| 5412 | <tr> |
| 5413 | <td></td> |
| 5414 | <td>)</td> |
| 5415 | <td></td><td></td> |
| 5416 | </tr> |
| 5417 | </table> |
| 5418 | </div><div class="memdoc"> |
| 5419 | |
| 5420 | </div> |
| 5421 | </div> |
| 5422 | <a class="anchor" id="adb9a698039f2f9414f3296a4d9070893"></a> |
| 5423 | <div class="memitem"> |
| 5424 | <div class="memproto"> |
| 5425 | <table class="memname"> |
| 5426 | <tr> |
| 5427 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5428 | <td>(</td> |
| 5429 | <td class="paramtype">LeNet5FullyConnectedLayer </td> |
| 5430 | <td class="paramname">, </td> |
| 5431 | </tr> |
| 5432 | <tr> |
| 5433 | <td class="paramkey"></td> |
| 5434 | <td></td> |
| 5435 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 5436 | <td class="paramname">, </td> |
| 5437 | </tr> |
| 5438 | <tr> |
| 5439 | <td class="paramkey"></td> |
| 5440 | <td></td> |
| 5441 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5442 | <td class="paramname">, </td> |
| 5443 | </tr> |
| 5444 | <tr> |
| 5445 | <td class="paramkey"></td> |
| 5446 | <td></td> |
| 5447 | <td class="paramtype">framework::dataset:: </td> |
| 5448 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5449 | </tr> |
| 5450 | <tr> |
| 5451 | <td></td> |
| 5452 | <td>)</td> |
| 5453 | <td></td><td></td> |
| 5454 | </tr> |
| 5455 | </table> |
| 5456 | </div><div class="memdoc"> |
| 5457 | |
| 5458 | </div> |
| 5459 | </div> |
| 5460 | <a class="anchor" id="a11c4e187683f0687472d48d8f279c8fc"></a> |
| 5461 | <div class="memitem"> |
| 5462 | <div class="memproto"> |
| 5463 | <table class="memname"> |
| 5464 | <tr> |
| 5465 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5466 | <td>(</td> |
| 5467 | <td class="paramtype">LeNet5ConvolutionLayer </td> |
| 5468 | <td class="paramname">, </td> |
| 5469 | </tr> |
| 5470 | <tr> |
| 5471 | <td class="paramkey"></td> |
| 5472 | <td></td> |
| 5473 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 5474 | <td class="paramname">, </td> |
| 5475 | </tr> |
| 5476 | <tr> |
| 5477 | <td class="paramkey"></td> |
| 5478 | <td></td> |
| 5479 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5480 | <td class="paramname">, </td> |
| 5481 | </tr> |
| 5482 | <tr> |
| 5483 | <td class="paramkey"></td> |
| 5484 | <td></td> |
| 5485 | <td class="paramtype">framework::dataset:: </td> |
| 5486 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5487 | </tr> |
| 5488 | <tr> |
| 5489 | <td></td> |
| 5490 | <td>)</td> |
| 5491 | <td></td><td></td> |
| 5492 | </tr> |
| 5493 | </table> |
| 5494 | </div><div class="memdoc"> |
| 5495 | |
| 5496 | </div> |
| 5497 | </div> |
| 5498 | <a class="anchor" id="a27446bd5b343d26d6028cd2ab34065a6"></a> |
| 5499 | <div class="memitem"> |
| 5500 | <div class="memproto"> |
| 5501 | <table class="memname"> |
| 5502 | <tr> |
| 5503 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5504 | <td>(</td> |
| 5505 | <td class="paramtype">GoogLeNetInceptionV4DirectConvolutionLayer </td> |
| 5506 | <td class="paramname">, </td> |
| 5507 | </tr> |
| 5508 | <tr> |
| 5509 | <td class="paramkey"></td> |
| 5510 | <td></td> |
| 5511 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 5512 | <td class="paramname">, </td> |
| 5513 | </tr> |
| 5514 | <tr> |
| 5515 | <td class="paramkey"></td> |
| 5516 | <td></td> |
| 5517 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5518 | <td class="paramname">, </td> |
| 5519 | </tr> |
| 5520 | <tr> |
| 5521 | <td class="paramkey"></td> |
| 5522 | <td></td> |
| 5523 | <td class="paramtype">framework::dataset:: </td> |
| 5524 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5525 | </tr> |
| 5526 | <tr> |
| 5527 | <td></td> |
| 5528 | <td>)</td> |
| 5529 | <td></td><td></td> |
| 5530 | </tr> |
| 5531 | </table> |
| 5532 | </div><div class="memdoc"> |
| 5533 | |
| 5534 | </div> |
| 5535 | </div> |
| 5536 | <a class="anchor" id="abb38304d29f99717ecc5c528962972a5"></a> |
| 5537 | <div class="memitem"> |
| 5538 | <div class="memproto"> |
| 5539 | <table class="memname"> |
| 5540 | <tr> |
| 5541 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5542 | <td>(</td> |
| 5543 | <td class="paramtype">GoogLeNetInceptionV4DirectConvolutionLayer </td> |
| 5544 | <td class="paramname">, </td> |
| 5545 | </tr> |
| 5546 | <tr> |
| 5547 | <td class="paramkey"></td> |
| 5548 | <td></td> |
| 5549 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 5550 | <td class="paramname">, </td> |
| 5551 | </tr> |
| 5552 | <tr> |
| 5553 | <td class="paramkey"></td> |
| 5554 | <td></td> |
| 5555 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5556 | <td class="paramname">, </td> |
| 5557 | </tr> |
| 5558 | <tr> |
| 5559 | <td class="paramkey"></td> |
| 5560 | <td></td> |
| 5561 | <td class="paramtype">framework::dataset:: </td> |
| 5562 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5563 | </tr> |
| 5564 | <tr> |
| 5565 | <td></td> |
| 5566 | <td>)</td> |
| 5567 | <td></td><td></td> |
| 5568 | </tr> |
| 5569 | </table> |
| 5570 | </div><div class="memdoc"> |
| 5571 | |
| 5572 | </div> |
| 5573 | </div> |
| 5574 | <a class="anchor" id="a36cad137a713f8be3263a1a6466c6bd7"></a> |
| 5575 | <div class="memitem"> |
| 5576 | <div class="memproto"> |
| 5577 | <table class="memname"> |
| 5578 | <tr> |
| 5579 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5580 | <td>(</td> |
| 5581 | <td class="paramtype">YOLOV2PoolingLayer </td> |
| 5582 | <td class="paramname">, </td> |
| 5583 | </tr> |
| 5584 | <tr> |
| 5585 | <td class="paramkey"></td> |
| 5586 | <td></td> |
| 5587 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 5588 | <td class="paramname">, </td> |
| 5589 | </tr> |
| 5590 | <tr> |
| 5591 | <td class="paramkey"></td> |
| 5592 | <td></td> |
| 5593 | <td class="paramtype">framework::DatasetMode::ALL </td> |
| 5594 | <td class="paramname">, </td> |
| 5595 | </tr> |
| 5596 | <tr> |
| 5597 | <td class="paramkey"></td> |
| 5598 | <td></td> |
| 5599 | <td class="paramtype">framework::dataset:: </td> |
| 5600 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches", 1) </td> |
| 5601 | </tr> |
| 5602 | <tr> |
| 5603 | <td></td> |
| 5604 | <td>)</td> |
| 5605 | <td></td><td></td> |
| 5606 | </tr> |
| 5607 | </table> |
| 5608 | </div><div class="memdoc"> |
| 5609 | |
| 5610 | </div> |
| 5611 | </div> |
| 5612 | <a class="anchor" id="a65a028ab7f8ba81db43d5963ea5343a4"></a> |
| 5613 | <div class="memitem"> |
| 5614 | <div class="memproto"> |
| 5615 | <table class="memname"> |
| 5616 | <tr> |
| 5617 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5618 | <td>(</td> |
| 5619 | <td class="paramtype">LeNet5ConvolutionLayer </td> |
| 5620 | <td class="paramname">, </td> |
| 5621 | </tr> |
| 5622 | <tr> |
| 5623 | <td class="paramkey"></td> |
| 5624 | <td></td> |
| 5625 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 5626 | <td class="paramname">, </td> |
| 5627 | </tr> |
| 5628 | <tr> |
| 5629 | <td class="paramkey"></td> |
| 5630 | <td></td> |
| 5631 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5632 | <td class="paramname">, </td> |
| 5633 | </tr> |
| 5634 | <tr> |
| 5635 | <td class="paramkey"></td> |
| 5636 | <td></td> |
| 5637 | <td class="paramtype">framework::dataset:: </td> |
| 5638 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5639 | </tr> |
| 5640 | <tr> |
| 5641 | <td></td> |
| 5642 | <td>)</td> |
| 5643 | <td></td><td></td> |
| 5644 | </tr> |
| 5645 | </table> |
| 5646 | </div><div class="memdoc"> |
| 5647 | |
| 5648 | </div> |
| 5649 | </div> |
| 5650 | <a class="anchor" id="ad5101e30d9b5306231c7ed2ce71f350b"></a> |
| 5651 | <div class="memitem"> |
| 5652 | <div class="memproto"> |
| 5653 | <table class="memname"> |
| 5654 | <tr> |
| 5655 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5656 | <td>(</td> |
| 5657 | <td class="paramtype">GoogLeNetInceptionV1PoolingLayer </td> |
| 5658 | <td class="paramname">, </td> |
| 5659 | </tr> |
| 5660 | <tr> |
| 5661 | <td class="paramkey"></td> |
| 5662 | <td></td> |
| 5663 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 5664 | <td class="paramname">, </td> |
| 5665 | </tr> |
| 5666 | <tr> |
| 5667 | <td class="paramkey"></td> |
| 5668 | <td></td> |
| 5669 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5670 | <td class="paramname">, </td> |
| 5671 | </tr> |
| 5672 | <tr> |
| 5673 | <td class="paramkey"></td> |
| 5674 | <td></td> |
| 5675 | <td class="paramtype">framework::dataset:: </td> |
| 5676 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5677 | </tr> |
| 5678 | <tr> |
| 5679 | <td></td> |
| 5680 | <td>)</td> |
| 5681 | <td></td><td></td> |
| 5682 | </tr> |
| 5683 | </table> |
| 5684 | </div><div class="memdoc"> |
| 5685 | |
| 5686 | </div> |
| 5687 | </div> |
| 5688 | <a class="anchor" id="a13170587db62e123a041d2b8cab82ef8"></a> |
| 5689 | <div class="memitem"> |
| 5690 | <div class="memproto"> |
| 5691 | <table class="memname"> |
| 5692 | <tr> |
| 5693 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5694 | <td>(</td> |
| 5695 | <td class="paramtype">SqueezeNetDirectConvolutionLayer </td> |
| 5696 | <td class="paramname">, </td> |
| 5697 | </tr> |
| 5698 | <tr> |
| 5699 | <td class="paramkey"></td> |
| 5700 | <td></td> |
| 5701 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 5702 | <td class="paramname">, </td> |
| 5703 | </tr> |
| 5704 | <tr> |
| 5705 | <td class="paramkey"></td> |
| 5706 | <td></td> |
| 5707 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5708 | <td class="paramname">, </td> |
| 5709 | </tr> |
| 5710 | <tr> |
| 5711 | <td class="paramkey"></td> |
| 5712 | <td></td> |
| 5713 | <td class="paramtype">framework::dataset:: </td> |
| 5714 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5715 | </tr> |
| 5716 | <tr> |
| 5717 | <td></td> |
| 5718 | <td>)</td> |
| 5719 | <td></td><td></td> |
| 5720 | </tr> |
| 5721 | </table> |
| 5722 | </div><div class="memdoc"> |
| 5723 | |
| 5724 | </div> |
| 5725 | </div> |
| 5726 | <a class="anchor" id="a4ecb06077e2a789221648d0479e61809"></a> |
| 5727 | <div class="memitem"> |
| 5728 | <div class="memproto"> |
| 5729 | <table class="memname"> |
| 5730 | <tr> |
| 5731 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5732 | <td>(</td> |
| 5733 | <td class="paramtype">LeNet5FullyConnectedLayer </td> |
| 5734 | <td class="paramname">, </td> |
| 5735 | </tr> |
| 5736 | <tr> |
| 5737 | <td class="paramkey"></td> |
| 5738 | <td></td> |
| 5739 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 5740 | <td class="paramname">, </td> |
| 5741 | </tr> |
| 5742 | <tr> |
| 5743 | <td class="paramkey"></td> |
| 5744 | <td></td> |
| 5745 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5746 | <td class="paramname">, </td> |
| 5747 | </tr> |
| 5748 | <tr> |
| 5749 | <td class="paramkey"></td> |
| 5750 | <td></td> |
| 5751 | <td class="paramtype">framework::dataset:: </td> |
| 5752 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5753 | </tr> |
| 5754 | <tr> |
| 5755 | <td></td> |
| 5756 | <td>)</td> |
| 5757 | <td></td><td></td> |
| 5758 | </tr> |
| 5759 | </table> |
| 5760 | </div><div class="memdoc"> |
| 5761 | |
| 5762 | </div> |
| 5763 | </div> |
| 5764 | <a class="anchor" id="a3df552423cbf598c725b9dc615f06315"></a> |
| 5765 | <div class="memitem"> |
| 5766 | <div class="memproto"> |
| 5767 | <table class="memname"> |
| 5768 | <tr> |
| 5769 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5770 | <td>(</td> |
| 5771 | <td class="paramtype">GoogLeNetInceptionV1ConvolutionLayer </td> |
| 5772 | <td class="paramname">, </td> |
| 5773 | </tr> |
| 5774 | <tr> |
| 5775 | <td class="paramkey"></td> |
| 5776 | <td></td> |
| 5777 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 5778 | <td class="paramname">, </td> |
| 5779 | </tr> |
| 5780 | <tr> |
| 5781 | <td class="paramkey"></td> |
| 5782 | <td></td> |
| 5783 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5784 | <td class="paramname">, </td> |
| 5785 | </tr> |
| 5786 | <tr> |
| 5787 | <td class="paramkey"></td> |
| 5788 | <td></td> |
| 5789 | <td class="paramtype">framework::dataset:: </td> |
| 5790 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5791 | </tr> |
| 5792 | <tr> |
| 5793 | <td></td> |
| 5794 | <td>)</td> |
| 5795 | <td></td><td></td> |
| 5796 | </tr> |
| 5797 | </table> |
| 5798 | </div><div class="memdoc"> |
| 5799 | |
| 5800 | </div> |
| 5801 | </div> |
| 5802 | <a class="anchor" id="a7677396611ac11166c6f7344f9e0ef12"></a> |
| 5803 | <div class="memitem"> |
| 5804 | <div class="memproto"> |
| 5805 | <table class="memname"> |
| 5806 | <tr> |
| 5807 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5808 | <td>(</td> |
| 5809 | <td class="paramtype">AlexNetActivationLayer </td> |
| 5810 | <td class="paramname">, </td> |
| 5811 | </tr> |
| 5812 | <tr> |
| 5813 | <td class="paramkey"></td> |
| 5814 | <td></td> |
| 5815 | <td class="paramtype">NEActivationLayerFixture </td> |
| 5816 | <td class="paramname">, </td> |
| 5817 | </tr> |
| 5818 | <tr> |
| 5819 | <td class="paramkey"></td> |
| 5820 | <td></td> |
| 5821 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5822 | <td class="paramname">, </td> |
| 5823 | </tr> |
| 5824 | <tr> |
| 5825 | <td class="paramkey"></td> |
| 5826 | <td></td> |
| 5827 | <td class="paramtype">framework::dataset:: </td> |
| 5828 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5829 | </tr> |
| 5830 | <tr> |
| 5831 | <td></td> |
| 5832 | <td>)</td> |
| 5833 | <td></td><td></td> |
| 5834 | </tr> |
| 5835 | </table> |
| 5836 | </div><div class="memdoc"> |
| 5837 | |
| 5838 | </div> |
| 5839 | </div> |
| 5840 | <a class="anchor" id="a6fef2cd462f91f3b071ee7d02322dbb6"></a> |
| 5841 | <div class="memitem"> |
| 5842 | <div class="memproto"> |
| 5843 | <table class="memname"> |
| 5844 | <tr> |
| 5845 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5846 | <td>(</td> |
| 5847 | <td class="paramtype">VGG16FullyConnectedLayer </td> |
| 5848 | <td class="paramname">, </td> |
| 5849 | </tr> |
| 5850 | <tr> |
| 5851 | <td class="paramkey"></td> |
| 5852 | <td></td> |
| 5853 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 5854 | <td class="paramname">, </td> |
| 5855 | </tr> |
| 5856 | <tr> |
| 5857 | <td class="paramkey"></td> |
| 5858 | <td></td> |
| 5859 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5860 | <td class="paramname">, </td> |
| 5861 | </tr> |
| 5862 | <tr> |
| 5863 | <td class="paramkey"></td> |
| 5864 | <td></td> |
| 5865 | <td class="paramtype">framework::dataset:: </td> |
| 5866 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5867 | </tr> |
| 5868 | <tr> |
| 5869 | <td></td> |
| 5870 | <td>)</td> |
| 5871 | <td></td><td></td> |
| 5872 | </tr> |
| 5873 | </table> |
| 5874 | </div><div class="memdoc"> |
| 5875 | |
| 5876 | </div> |
| 5877 | </div> |
| 5878 | <a class="anchor" id="ae88c882e06dad040d2bb6278ef8c4c84"></a> |
| 5879 | <div class="memitem"> |
| 5880 | <div class="memproto"> |
| 5881 | <table class="memname"> |
| 5882 | <tr> |
| 5883 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5884 | <td>(</td> |
| 5885 | <td class="paramtype">SqueezeNetDirectConvolutionLayer </td> |
| 5886 | <td class="paramname">, </td> |
| 5887 | </tr> |
| 5888 | <tr> |
| 5889 | <td class="paramkey"></td> |
| 5890 | <td></td> |
| 5891 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 5892 | <td class="paramname">, </td> |
| 5893 | </tr> |
| 5894 | <tr> |
| 5895 | <td class="paramkey"></td> |
| 5896 | <td></td> |
| 5897 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5898 | <td class="paramname">, </td> |
| 5899 | </tr> |
| 5900 | <tr> |
| 5901 | <td class="paramkey"></td> |
| 5902 | <td></td> |
| 5903 | <td class="paramtype">framework::dataset:: </td> |
| 5904 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5905 | </tr> |
| 5906 | <tr> |
| 5907 | <td></td> |
| 5908 | <td>)</td> |
| 5909 | <td></td><td></td> |
| 5910 | </tr> |
| 5911 | </table> |
| 5912 | </div><div class="memdoc"> |
| 5913 | |
| 5914 | </div> |
| 5915 | </div> |
| 5916 | <a class="anchor" id="ad0b2b0d1564cc6c5ac951a7b8e59bda8"></a> |
| 5917 | <div class="memitem"> |
| 5918 | <div class="memproto"> |
| 5919 | <table class="memname"> |
| 5920 | <tr> |
| 5921 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5922 | <td>(</td> |
| 5923 | <td class="paramtype">GoogLeNetInceptionV4PoolingLayer </td> |
| 5924 | <td class="paramname">, </td> |
| 5925 | </tr> |
| 5926 | <tr> |
| 5927 | <td class="paramkey"></td> |
| 5928 | <td></td> |
| 5929 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 5930 | <td class="paramname">, </td> |
| 5931 | </tr> |
| 5932 | <tr> |
| 5933 | <td class="paramkey"></td> |
| 5934 | <td></td> |
| 5935 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5936 | <td class="paramname">, </td> |
| 5937 | </tr> |
| 5938 | <tr> |
| 5939 | <td class="paramkey"></td> |
| 5940 | <td></td> |
| 5941 | <td class="paramtype">framework::dataset:: </td> |
| 5942 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5943 | </tr> |
| 5944 | <tr> |
| 5945 | <td></td> |
| 5946 | <td>)</td> |
| 5947 | <td></td><td></td> |
| 5948 | </tr> |
| 5949 | </table> |
| 5950 | </div><div class="memdoc"> |
| 5951 | |
| 5952 | </div> |
| 5953 | </div> |
| 5954 | <a class="anchor" id="a6773bc983eece85b34d67c4ba3c09554"></a> |
| 5955 | <div class="memitem"> |
| 5956 | <div class="memproto"> |
| 5957 | <table class="memname"> |
| 5958 | <tr> |
| 5959 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5960 | <td>(</td> |
| 5961 | <td class="paramtype">GoogLeNetInceptionV1ConvolutionLayer </td> |
| 5962 | <td class="paramname">, </td> |
| 5963 | </tr> |
| 5964 | <tr> |
| 5965 | <td class="paramkey"></td> |
| 5966 | <td></td> |
| 5967 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 5968 | <td class="paramname">, </td> |
| 5969 | </tr> |
| 5970 | <tr> |
| 5971 | <td class="paramkey"></td> |
| 5972 | <td></td> |
| 5973 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 5974 | <td class="paramname">, </td> |
| 5975 | </tr> |
| 5976 | <tr> |
| 5977 | <td class="paramkey"></td> |
| 5978 | <td></td> |
| 5979 | <td class="paramtype">framework::dataset:: </td> |
| 5980 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 5981 | </tr> |
| 5982 | <tr> |
| 5983 | <td></td> |
| 5984 | <td>)</td> |
| 5985 | <td></td><td></td> |
| 5986 | </tr> |
| 5987 | </table> |
| 5988 | </div><div class="memdoc"> |
| 5989 | |
| 5990 | </div> |
| 5991 | </div> |
| 5992 | <a class="anchor" id="a4558b577be27af2ceffffd986b1aab7f"></a> |
| 5993 | <div class="memitem"> |
| 5994 | <div class="memproto"> |
| 5995 | <table class="memname"> |
| 5996 | <tr> |
| 5997 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 5998 | <td>(</td> |
| 5999 | <td class="paramtype">AlexNetPoolingLayer </td> |
| 6000 | <td class="paramname">, </td> |
| 6001 | </tr> |
| 6002 | <tr> |
| 6003 | <td class="paramkey"></td> |
| 6004 | <td></td> |
| 6005 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 6006 | <td class="paramname">, </td> |
| 6007 | </tr> |
| 6008 | <tr> |
| 6009 | <td class="paramkey"></td> |
| 6010 | <td></td> |
| 6011 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6012 | <td class="paramname">, </td> |
| 6013 | </tr> |
| 6014 | <tr> |
| 6015 | <td class="paramkey"></td> |
| 6016 | <td></td> |
| 6017 | <td class="paramtype">framework::dataset:: </td> |
| 6018 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::AlexNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6019 | </tr> |
| 6020 | <tr> |
| 6021 | <td></td> |
| 6022 | <td>)</td> |
| 6023 | <td></td><td></td> |
| 6024 | </tr> |
| 6025 | </table> |
| 6026 | </div><div class="memdoc"> |
| 6027 | |
| 6028 | </div> |
| 6029 | </div> |
| 6030 | <a class="anchor" id="a1afabd3008ddf541288b01fe746ab284"></a> |
| 6031 | <div class="memitem"> |
| 6032 | <div class="memproto"> |
| 6033 | <table class="memname"> |
| 6034 | <tr> |
| 6035 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6036 | <td>(</td> |
| 6037 | <td class="paramtype">LeNet5ActivationLayer </td> |
| 6038 | <td class="paramname">, </td> |
| 6039 | </tr> |
| 6040 | <tr> |
| 6041 | <td class="paramkey"></td> |
| 6042 | <td></td> |
| 6043 | <td class="paramtype">NEActivationLayerFixture </td> |
| 6044 | <td class="paramname">, </td> |
| 6045 | </tr> |
| 6046 | <tr> |
| 6047 | <td class="paramkey"></td> |
| 6048 | <td></td> |
| 6049 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6050 | <td class="paramname">, </td> |
| 6051 | </tr> |
| 6052 | <tr> |
| 6053 | <td class="paramkey"></td> |
| 6054 | <td></td> |
| 6055 | <td class="paramtype">framework::dataset:: </td> |
| 6056 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6057 | </tr> |
| 6058 | <tr> |
| 6059 | <td></td> |
| 6060 | <td>)</td> |
| 6061 | <td></td><td></td> |
| 6062 | </tr> |
| 6063 | </table> |
| 6064 | </div><div class="memdoc"> |
| 6065 | |
| 6066 | </div> |
| 6067 | </div> |
| 6068 | <a class="anchor" id="a4470fc8180788f756fccdb77f9a25886"></a> |
| 6069 | <div class="memitem"> |
| 6070 | <div class="memproto"> |
| 6071 | <table class="memname"> |
| 6072 | <tr> |
| 6073 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6074 | <td>(</td> |
| 6075 | <td class="paramtype">GoogLeNetInceptionV4ConvolutionLayer </td> |
| 6076 | <td class="paramname">, </td> |
| 6077 | </tr> |
| 6078 | <tr> |
| 6079 | <td class="paramkey"></td> |
| 6080 | <td></td> |
| 6081 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 6082 | <td class="paramname">, </td> |
| 6083 | </tr> |
| 6084 | <tr> |
| 6085 | <td class="paramkey"></td> |
| 6086 | <td></td> |
| 6087 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6088 | <td class="paramname">, </td> |
| 6089 | </tr> |
| 6090 | <tr> |
| 6091 | <td class="paramkey"></td> |
| 6092 | <td></td> |
| 6093 | <td class="paramtype">framework::dataset:: </td> |
| 6094 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6095 | </tr> |
| 6096 | <tr> |
| 6097 | <td></td> |
| 6098 | <td>)</td> |
| 6099 | <td></td><td></td> |
| 6100 | </tr> |
| 6101 | </table> |
| 6102 | </div><div class="memdoc"> |
| 6103 | |
| 6104 | </div> |
| 6105 | </div> |
| 6106 | <a class="anchor" id="a1f92978c7363135053baa95b94501676"></a> |
| 6107 | <div class="memitem"> |
| 6108 | <div class="memproto"> |
| 6109 | <table class="memname"> |
| 6110 | <tr> |
| 6111 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6112 | <td>(</td> |
| 6113 | <td class="paramtype">VGG16DirectConvolutionLayer </td> |
| 6114 | <td class="paramname">, </td> |
| 6115 | </tr> |
| 6116 | <tr> |
| 6117 | <td class="paramkey"></td> |
| 6118 | <td></td> |
| 6119 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 6120 | <td class="paramname">, </td> |
| 6121 | </tr> |
| 6122 | <tr> |
| 6123 | <td class="paramkey"></td> |
| 6124 | <td></td> |
| 6125 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6126 | <td class="paramname">, </td> |
| 6127 | </tr> |
| 6128 | <tr> |
| 6129 | <td class="paramkey"></td> |
| 6130 | <td></td> |
| 6131 | <td class="paramtype">framework::dataset:: </td> |
| 6132 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 6133 | </tr> |
| 6134 | <tr> |
| 6135 | <td></td> |
| 6136 | <td>)</td> |
| 6137 | <td></td><td></td> |
| 6138 | </tr> |
| 6139 | </table> |
| 6140 | </div><div class="memdoc"> |
| 6141 | |
| 6142 | </div> |
| 6143 | </div> |
| 6144 | <a class="anchor" id="aa973f66482fdadbd2ab72cdb6face4b5"></a> |
| 6145 | <div class="memitem"> |
| 6146 | <div class="memproto"> |
| 6147 | <table class="memname"> |
| 6148 | <tr> |
| 6149 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6150 | <td>(</td> |
| 6151 | <td class="paramtype">SqueezeNetPoolingLayer </td> |
| 6152 | <td class="paramname">, </td> |
| 6153 | </tr> |
| 6154 | <tr> |
| 6155 | <td class="paramkey"></td> |
| 6156 | <td></td> |
| 6157 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 6158 | <td class="paramname">, </td> |
| 6159 | </tr> |
| 6160 | <tr> |
| 6161 | <td class="paramkey"></td> |
| 6162 | <td></td> |
| 6163 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6164 | <td class="paramname">, </td> |
| 6165 | </tr> |
| 6166 | <tr> |
| 6167 | <td class="paramkey"></td> |
| 6168 | <td></td> |
| 6169 | <td class="paramtype">framework::dataset:: </td> |
| 6170 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6171 | </tr> |
| 6172 | <tr> |
| 6173 | <td></td> |
| 6174 | <td>)</td> |
| 6175 | <td></td><td></td> |
| 6176 | </tr> |
| 6177 | </table> |
| 6178 | </div><div class="memdoc"> |
| 6179 | |
| 6180 | </div> |
| 6181 | </div> |
| 6182 | <a class="anchor" id="adeee41f0a436718ca296fc99f2e2a151"></a> |
| 6183 | <div class="memitem"> |
| 6184 | <div class="memproto"> |
| 6185 | <table class="memname"> |
| 6186 | <tr> |
| 6187 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6188 | <td>(</td> |
| 6189 | <td class="paramtype">VGG16FullyConnectedLayer </td> |
| 6190 | <td class="paramname">, </td> |
| 6191 | </tr> |
| 6192 | <tr> |
| 6193 | <td class="paramkey"></td> |
| 6194 | <td></td> |
| 6195 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 6196 | <td class="paramname">, </td> |
| 6197 | </tr> |
| 6198 | <tr> |
| 6199 | <td class="paramkey"></td> |
| 6200 | <td></td> |
| 6201 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6202 | <td class="paramname">, </td> |
| 6203 | </tr> |
| 6204 | <tr> |
| 6205 | <td class="paramkey"></td> |
| 6206 | <td></td> |
| 6207 | <td class="paramtype">framework::dataset:: </td> |
| 6208 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6209 | </tr> |
| 6210 | <tr> |
| 6211 | <td></td> |
| 6212 | <td>)</td> |
| 6213 | <td></td><td></td> |
| 6214 | </tr> |
| 6215 | </table> |
| 6216 | </div><div class="memdoc"> |
| 6217 | |
| 6218 | </div> |
| 6219 | </div> |
| 6220 | <a class="anchor" id="a463d7f372ea5c6217b8ee151b47f596e"></a> |
| 6221 | <div class="memitem"> |
| 6222 | <div class="memproto"> |
| 6223 | <table class="memname"> |
| 6224 | <tr> |
| 6225 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6226 | <td>(</td> |
| 6227 | <td class="paramtype">GoogLeNetInceptionV1FullyConnectedLayer </td> |
| 6228 | <td class="paramname">, </td> |
| 6229 | </tr> |
| 6230 | <tr> |
| 6231 | <td class="paramkey"></td> |
| 6232 | <td></td> |
| 6233 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 6234 | <td class="paramname">, </td> |
| 6235 | </tr> |
| 6236 | <tr> |
| 6237 | <td class="paramkey"></td> |
| 6238 | <td></td> |
| 6239 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6240 | <td class="paramname">, </td> |
| 6241 | </tr> |
| 6242 | <tr> |
| 6243 | <td class="paramkey"></td> |
| 6244 | <td></td> |
| 6245 | <td class="paramtype">framework::dataset:: </td> |
| 6246 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6247 | </tr> |
| 6248 | <tr> |
| 6249 | <td></td> |
| 6250 | <td>)</td> |
| 6251 | <td></td><td></td> |
| 6252 | </tr> |
| 6253 | </table> |
| 6254 | </div><div class="memdoc"> |
| 6255 | |
| 6256 | </div> |
| 6257 | </div> |
| 6258 | <a class="anchor" id="ab0595cda883cec6b1b3a5389fd786e9f"></a> |
| 6259 | <div class="memitem"> |
| 6260 | <div class="memproto"> |
| 6261 | <table class="memname"> |
| 6262 | <tr> |
| 6263 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6264 | <td>(</td> |
| 6265 | <td class="paramtype">VGG16DirectConvolutionLayer </td> |
| 6266 | <td class="paramname">, </td> |
| 6267 | </tr> |
| 6268 | <tr> |
| 6269 | <td class="paramkey"></td> |
| 6270 | <td></td> |
| 6271 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 6272 | <td class="paramname">, </td> |
| 6273 | </tr> |
| 6274 | <tr> |
| 6275 | <td class="paramkey"></td> |
| 6276 | <td></td> |
| 6277 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6278 | <td class="paramname">, </td> |
| 6279 | </tr> |
| 6280 | <tr> |
| 6281 | <td class="paramkey"></td> |
| 6282 | <td></td> |
| 6283 | <td class="paramtype">framework::dataset:: </td> |
| 6284 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 6285 | </tr> |
| 6286 | <tr> |
| 6287 | <td></td> |
| 6288 | <td>)</td> |
| 6289 | <td></td><td></td> |
| 6290 | </tr> |
| 6291 | </table> |
| 6292 | </div><div class="memdoc"> |
| 6293 | |
| 6294 | </div> |
| 6295 | </div> |
| 6296 | <a class="anchor" id="a4bdfdac4318cf7e4b09cc13a553363a7"></a> |
| 6297 | <div class="memitem"> |
| 6298 | <div class="memproto"> |
| 6299 | <table class="memname"> |
| 6300 | <tr> |
| 6301 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6302 | <td>(</td> |
| 6303 | <td class="paramtype">GoogLeNetInceptionV4ConvolutionLayer </td> |
| 6304 | <td class="paramname">, </td> |
| 6305 | </tr> |
| 6306 | <tr> |
| 6307 | <td class="paramkey"></td> |
| 6308 | <td></td> |
| 6309 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 6310 | <td class="paramname">, </td> |
| 6311 | </tr> |
| 6312 | <tr> |
| 6313 | <td class="paramkey"></td> |
| 6314 | <td></td> |
| 6315 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6316 | <td class="paramname">, </td> |
| 6317 | </tr> |
| 6318 | <tr> |
| 6319 | <td class="paramkey"></td> |
| 6320 | <td></td> |
| 6321 | <td class="paramtype">framework::dataset:: </td> |
| 6322 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6323 | </tr> |
| 6324 | <tr> |
| 6325 | <td></td> |
| 6326 | <td>)</td> |
| 6327 | <td></td><td></td> |
| 6328 | </tr> |
| 6329 | </table> |
| 6330 | </div><div class="memdoc"> |
| 6331 | |
| 6332 | </div> |
| 6333 | </div> |
| 6334 | <a class="anchor" id="a164c7e1e8e2e4de0ce6282d2b0835dd0"></a> |
| 6335 | <div class="memitem"> |
| 6336 | <div class="memproto"> |
| 6337 | <table class="memname"> |
| 6338 | <tr> |
| 6339 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6340 | <td>(</td> |
| 6341 | <td class="paramtype">GoogLeNetInceptionV1ActivationLayer </td> |
| 6342 | <td class="paramname">, </td> |
| 6343 | </tr> |
| 6344 | <tr> |
| 6345 | <td class="paramkey"></td> |
| 6346 | <td></td> |
| 6347 | <td class="paramtype">NEActivationLayerFixture </td> |
| 6348 | <td class="paramname">, </td> |
| 6349 | </tr> |
| 6350 | <tr> |
| 6351 | <td class="paramkey"></td> |
| 6352 | <td></td> |
| 6353 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6354 | <td class="paramname">, </td> |
| 6355 | </tr> |
| 6356 | <tr> |
| 6357 | <td class="paramkey"></td> |
| 6358 | <td></td> |
| 6359 | <td class="paramtype">framework::dataset:: </td> |
| 6360 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6361 | </tr> |
| 6362 | <tr> |
| 6363 | <td></td> |
| 6364 | <td>)</td> |
| 6365 | <td></td><td></td> |
| 6366 | </tr> |
| 6367 | </table> |
| 6368 | </div><div class="memdoc"> |
| 6369 | |
| 6370 | </div> |
| 6371 | </div> |
| 6372 | <a class="anchor" id="af3310a6693b1d28b4d474e2a025b8777"></a> |
| 6373 | <div class="memitem"> |
| 6374 | <div class="memproto"> |
| 6375 | <table class="memname"> |
| 6376 | <tr> |
| 6377 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6378 | <td>(</td> |
| 6379 | <td class="paramtype">YOLOV2DirectConvolutionLayer </td> |
| 6380 | <td class="paramname">, </td> |
| 6381 | </tr> |
| 6382 | <tr> |
| 6383 | <td class="paramkey"></td> |
| 6384 | <td></td> |
| 6385 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 6386 | <td class="paramname">, </td> |
| 6387 | </tr> |
| 6388 | <tr> |
| 6389 | <td class="paramkey"></td> |
| 6390 | <td></td> |
| 6391 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6392 | <td class="paramname">, </td> |
| 6393 | </tr> |
| 6394 | <tr> |
| 6395 | <td class="paramkey"></td> |
| 6396 | <td></td> |
| 6397 | <td class="paramtype">framework::dataset:: </td> |
| 6398 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 6399 | </tr> |
| 6400 | <tr> |
| 6401 | <td></td> |
| 6402 | <td>)</td> |
| 6403 | <td></td><td></td> |
| 6404 | </tr> |
| 6405 | </table> |
| 6406 | </div><div class="memdoc"> |
| 6407 | |
| 6408 | </div> |
| 6409 | </div> |
| 6410 | <a class="anchor" id="a9adba78f24e5c87b2c95a1c5e23883e9"></a> |
| 6411 | <div class="memitem"> |
| 6412 | <div class="memproto"> |
| 6413 | <table class="memname"> |
| 6414 | <tr> |
| 6415 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6416 | <td>(</td> |
| 6417 | <td class="paramtype">VGG16PoolingLayer </td> |
| 6418 | <td class="paramname">, </td> |
| 6419 | </tr> |
| 6420 | <tr> |
| 6421 | <td class="paramkey"></td> |
| 6422 | <td></td> |
| 6423 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 6424 | <td class="paramname">, </td> |
| 6425 | </tr> |
| 6426 | <tr> |
| 6427 | <td class="paramkey"></td> |
| 6428 | <td></td> |
| 6429 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6430 | <td class="paramname">, </td> |
| 6431 | </tr> |
| 6432 | <tr> |
| 6433 | <td class="paramkey"></td> |
| 6434 | <td></td> |
| 6435 | <td class="paramtype">framework::dataset:: </td> |
| 6436 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6437 | </tr> |
| 6438 | <tr> |
| 6439 | <td></td> |
| 6440 | <td>)</td> |
| 6441 | <td></td><td></td> |
| 6442 | </tr> |
| 6443 | </table> |
| 6444 | </div><div class="memdoc"> |
| 6445 | |
| 6446 | </div> |
| 6447 | </div> |
| 6448 | <a class="anchor" id="a731977f1de2e0d6dd1512818540ab608"></a> |
| 6449 | <div class="memitem"> |
| 6450 | <div class="memproto"> |
| 6451 | <table class="memname"> |
| 6452 | <tr> |
| 6453 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6454 | <td>(</td> |
| 6455 | <td class="paramtype">LeNet5PoolingLayer </td> |
| 6456 | <td class="paramname">, </td> |
| 6457 | </tr> |
| 6458 | <tr> |
| 6459 | <td class="paramkey"></td> |
| 6460 | <td></td> |
| 6461 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 6462 | <td class="paramname">, </td> |
| 6463 | </tr> |
| 6464 | <tr> |
| 6465 | <td class="paramkey"></td> |
| 6466 | <td></td> |
| 6467 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6468 | <td class="paramname">, </td> |
| 6469 | </tr> |
| 6470 | <tr> |
| 6471 | <td class="paramkey"></td> |
| 6472 | <td></td> |
| 6473 | <td class="paramtype">framework::dataset:: </td> |
| 6474 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::LeNet5PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6475 | </tr> |
| 6476 | <tr> |
| 6477 | <td></td> |
| 6478 | <td>)</td> |
| 6479 | <td></td><td></td> |
| 6480 | </tr> |
| 6481 | </table> |
| 6482 | </div><div class="memdoc"> |
| 6483 | |
| 6484 | </div> |
| 6485 | </div> |
| 6486 | <a class="anchor" id="a029d80ad64be335749e827cc64efd88c"></a> |
| 6487 | <div class="memitem"> |
| 6488 | <div class="memproto"> |
| 6489 | <table class="memname"> |
| 6490 | <tr> |
| 6491 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6492 | <td>(</td> |
| 6493 | <td class="paramtype">SqueezeNetConvolutionLayer </td> |
| 6494 | <td class="paramname">, </td> |
| 6495 | </tr> |
| 6496 | <tr> |
| 6497 | <td class="paramkey"></td> |
| 6498 | <td></td> |
| 6499 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 6500 | <td class="paramname">, </td> |
| 6501 | </tr> |
| 6502 | <tr> |
| 6503 | <td class="paramkey"></td> |
| 6504 | <td></td> |
| 6505 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6506 | <td class="paramname">, </td> |
| 6507 | </tr> |
| 6508 | <tr> |
| 6509 | <td class="paramkey"></td> |
| 6510 | <td></td> |
| 6511 | <td class="paramtype">framework::dataset:: </td> |
| 6512 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6513 | </tr> |
| 6514 | <tr> |
| 6515 | <td></td> |
| 6516 | <td>)</td> |
| 6517 | <td></td><td></td> |
| 6518 | </tr> |
| 6519 | </table> |
| 6520 | </div><div class="memdoc"> |
| 6521 | |
| 6522 | </div> |
| 6523 | </div> |
| 6524 | <a class="anchor" id="af5e14e7ca5ce517a75fb019b02108797"></a> |
| 6525 | <div class="memitem"> |
| 6526 | <div class="memproto"> |
| 6527 | <table class="memname"> |
| 6528 | <tr> |
| 6529 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6530 | <td>(</td> |
| 6531 | <td class="paramtype">GoogLeNetInceptionV1FullyConnectedLayer </td> |
| 6532 | <td class="paramname">, </td> |
| 6533 | </tr> |
| 6534 | <tr> |
| 6535 | <td class="paramkey"></td> |
| 6536 | <td></td> |
| 6537 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 6538 | <td class="paramname">, </td> |
| 6539 | </tr> |
| 6540 | <tr> |
| 6541 | <td class="paramkey"></td> |
| 6542 | <td></td> |
| 6543 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6544 | <td class="paramname">, </td> |
| 6545 | </tr> |
| 6546 | <tr> |
| 6547 | <td class="paramkey"></td> |
| 6548 | <td></td> |
| 6549 | <td class="paramtype">framework::dataset:: </td> |
| 6550 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6551 | </tr> |
| 6552 | <tr> |
| 6553 | <td></td> |
| 6554 | <td>)</td> |
| 6555 | <td></td><td></td> |
| 6556 | </tr> |
| 6557 | </table> |
| 6558 | </div><div class="memdoc"> |
| 6559 | |
| 6560 | </div> |
| 6561 | </div> |
| 6562 | <a class="anchor" id="ad5d101b25bb35a8d9b1efc70102bb3a4"></a> |
| 6563 | <div class="memitem"> |
| 6564 | <div class="memproto"> |
| 6565 | <table class="memname"> |
| 6566 | <tr> |
| 6567 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6568 | <td>(</td> |
| 6569 | <td class="paramtype">GoogLeNetInceptionV4FullyConnectedLayer </td> |
| 6570 | <td class="paramname">, </td> |
| 6571 | </tr> |
| 6572 | <tr> |
| 6573 | <td class="paramkey"></td> |
| 6574 | <td></td> |
| 6575 | <td class="paramtype">CLFullyConnectedLayerFixture </td> |
| 6576 | <td class="paramname">, </td> |
| 6577 | </tr> |
| 6578 | <tr> |
| 6579 | <td class="paramkey"></td> |
| 6580 | <td></td> |
| 6581 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6582 | <td class="paramname">, </td> |
| 6583 | </tr> |
| 6584 | <tr> |
| 6585 | <td class="paramkey"></td> |
| 6586 | <td></td> |
| 6587 | <td class="paramtype">framework::dataset:: </td> |
| 6588 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6589 | </tr> |
| 6590 | <tr> |
| 6591 | <td></td> |
| 6592 | <td>)</td> |
| 6593 | <td></td><td></td> |
| 6594 | </tr> |
| 6595 | </table> |
| 6596 | </div><div class="memdoc"> |
| 6597 | |
| 6598 | </div> |
| 6599 | </div> |
| 6600 | <a class="anchor" id="a03474ce6764bea95de0edb583d281017"></a> |
| 6601 | <div class="memitem"> |
| 6602 | <div class="memproto"> |
| 6603 | <table class="memname"> |
| 6604 | <tr> |
| 6605 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6606 | <td>(</td> |
| 6607 | <td class="paramtype">YOLOV2PoolingLayer </td> |
| 6608 | <td class="paramname">, </td> |
| 6609 | </tr> |
| 6610 | <tr> |
| 6611 | <td class="paramkey"></td> |
| 6612 | <td></td> |
| 6613 | <td class="paramtype">NEPoolingLayerFixture </td> |
| 6614 | <td class="paramname">, </td> |
| 6615 | </tr> |
| 6616 | <tr> |
| 6617 | <td class="paramkey"></td> |
| 6618 | <td></td> |
| 6619 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6620 | <td class="paramname">, </td> |
| 6621 | </tr> |
| 6622 | <tr> |
| 6623 | <td class="paramkey"></td> |
| 6624 | <td></td> |
| 6625 | <td class="paramtype">framework::dataset:: </td> |
| 6626 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6627 | </tr> |
| 6628 | <tr> |
| 6629 | <td></td> |
| 6630 | <td>)</td> |
| 6631 | <td></td><td></td> |
| 6632 | </tr> |
| 6633 | </table> |
| 6634 | </div><div class="memdoc"> |
| 6635 | |
| 6636 | </div> |
| 6637 | </div> |
| 6638 | <a class="anchor" id="aabdb95f3f541376f38e03d63957cd0af"></a> |
| 6639 | <div class="memitem"> |
| 6640 | <div class="memproto"> |
| 6641 | <table class="memname"> |
| 6642 | <tr> |
| 6643 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6644 | <td>(</td> |
| 6645 | <td class="paramtype">YOLOV2DirectConvolutionLayer </td> |
| 6646 | <td class="paramname">, </td> |
| 6647 | </tr> |
| 6648 | <tr> |
| 6649 | <td class="paramkey"></td> |
| 6650 | <td></td> |
| 6651 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 6652 | <td class="paramname">, </td> |
| 6653 | </tr> |
| 6654 | <tr> |
| 6655 | <td class="paramkey"></td> |
| 6656 | <td></td> |
| 6657 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6658 | <td class="paramname">, </td> |
| 6659 | </tr> |
| 6660 | <tr> |
| 6661 | <td class="paramkey"></td> |
| 6662 | <td></td> |
| 6663 | <td class="paramtype">framework::dataset:: </td> |
| 6664 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 6665 | </tr> |
| 6666 | <tr> |
| 6667 | <td></td> |
| 6668 | <td>)</td> |
| 6669 | <td></td><td></td> |
| 6670 | </tr> |
| 6671 | </table> |
| 6672 | </div><div class="memdoc"> |
| 6673 | |
| 6674 | </div> |
| 6675 | </div> |
| 6676 | <a class="anchor" id="a6ada452bc1053385b8574f38d341ffc9"></a> |
| 6677 | <div class="memitem"> |
| 6678 | <div class="memproto"> |
| 6679 | <table class="memname"> |
| 6680 | <tr> |
| 6681 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6682 | <td>(</td> |
| 6683 | <td class="paramtype">GoogLeNetInceptionV4ActivationLayer </td> |
| 6684 | <td class="paramname">, </td> |
| 6685 | </tr> |
| 6686 | <tr> |
| 6687 | <td class="paramkey"></td> |
| 6688 | <td></td> |
| 6689 | <td class="paramtype">NEActivationLayerFixture </td> |
| 6690 | <td class="paramname">, </td> |
| 6691 | </tr> |
| 6692 | <tr> |
| 6693 | <td class="paramkey"></td> |
| 6694 | <td></td> |
| 6695 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6696 | <td class="paramname">, </td> |
| 6697 | </tr> |
| 6698 | <tr> |
| 6699 | <td class="paramkey"></td> |
| 6700 | <td></td> |
| 6701 | <td class="paramtype">framework::dataset:: </td> |
| 6702 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6703 | </tr> |
| 6704 | <tr> |
| 6705 | <td></td> |
| 6706 | <td>)</td> |
| 6707 | <td></td><td></td> |
| 6708 | </tr> |
| 6709 | </table> |
| 6710 | </div><div class="memdoc"> |
| 6711 | |
| 6712 | </div> |
| 6713 | </div> |
| 6714 | <a class="anchor" id="a34df6fb97233366fc9083d79c13a5737"></a> |
| 6715 | <div class="memitem"> |
| 6716 | <div class="memproto"> |
| 6717 | <table class="memname"> |
| 6718 | <tr> |
| 6719 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6720 | <td>(</td> |
| 6721 | <td class="paramtype">SqueezeNetConvolutionLayer </td> |
| 6722 | <td class="paramname">, </td> |
| 6723 | </tr> |
| 6724 | <tr> |
| 6725 | <td class="paramkey"></td> |
| 6726 | <td></td> |
| 6727 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 6728 | <td class="paramname">, </td> |
| 6729 | </tr> |
| 6730 | <tr> |
| 6731 | <td class="paramkey"></td> |
| 6732 | <td></td> |
| 6733 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6734 | <td class="paramname">, </td> |
| 6735 | </tr> |
| 6736 | <tr> |
| 6737 | <td class="paramkey"></td> |
| 6738 | <td></td> |
| 6739 | <td class="paramtype">framework::dataset:: </td> |
| 6740 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6741 | </tr> |
| 6742 | <tr> |
| 6743 | <td></td> |
| 6744 | <td>)</td> |
| 6745 | <td></td><td></td> |
| 6746 | </tr> |
| 6747 | </table> |
| 6748 | </div><div class="memdoc"> |
| 6749 | |
| 6750 | </div> |
| 6751 | </div> |
| 6752 | <a class="anchor" id="a967825a64c529b573ca62e74179ee921"></a> |
| 6753 | <div class="memitem"> |
| 6754 | <div class="memproto"> |
| 6755 | <table class="memname"> |
| 6756 | <tr> |
| 6757 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6758 | <td>(</td> |
| 6759 | <td class="paramtype">GoogLeNetInceptionV1PoolingLayer </td> |
| 6760 | <td class="paramname">, </td> |
| 6761 | </tr> |
| 6762 | <tr> |
| 6763 | <td class="paramkey"></td> |
| 6764 | <td></td> |
| 6765 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 6766 | <td class="paramname">, </td> |
| 6767 | </tr> |
| 6768 | <tr> |
| 6769 | <td class="paramkey"></td> |
| 6770 | <td></td> |
| 6771 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6772 | <td class="paramname">, </td> |
| 6773 | </tr> |
| 6774 | <tr> |
| 6775 | <td class="paramkey"></td> |
| 6776 | <td></td> |
| 6777 | <td class="paramtype">framework::dataset:: </td> |
| 6778 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV1PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6779 | </tr> |
| 6780 | <tr> |
| 6781 | <td></td> |
| 6782 | <td>)</td> |
| 6783 | <td></td><td></td> |
| 6784 | </tr> |
| 6785 | </table> |
| 6786 | </div><div class="memdoc"> |
| 6787 | |
| 6788 | </div> |
| 6789 | </div> |
| 6790 | <a class="anchor" id="a68166bcb788035f5a6c17fe0c68ae730"></a> |
| 6791 | <div class="memitem"> |
| 6792 | <div class="memproto"> |
| 6793 | <table class="memname"> |
| 6794 | <tr> |
| 6795 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6796 | <td>(</td> |
| 6797 | <td class="paramtype">VGG16ConvolutionLayer </td> |
| 6798 | <td class="paramname">, </td> |
| 6799 | </tr> |
| 6800 | <tr> |
| 6801 | <td class="paramkey"></td> |
| 6802 | <td></td> |
| 6803 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 6804 | <td class="paramname">, </td> |
| 6805 | </tr> |
| 6806 | <tr> |
| 6807 | <td class="paramkey"></td> |
| 6808 | <td></td> |
| 6809 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6810 | <td class="paramname">, </td> |
| 6811 | </tr> |
| 6812 | <tr> |
| 6813 | <td class="paramkey"></td> |
| 6814 | <td></td> |
| 6815 | <td class="paramtype">framework::dataset:: </td> |
| 6816 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4}) </td> |
| 6817 | </tr> |
| 6818 | <tr> |
| 6819 | <td></td> |
| 6820 | <td>)</td> |
| 6821 | <td></td><td></td> |
| 6822 | </tr> |
| 6823 | </table> |
| 6824 | </div><div class="memdoc"> |
| 6825 | |
| 6826 | </div> |
| 6827 | </div> |
| 6828 | <a class="anchor" id="a1d77d86fcdca1b8578756eae70fcac85"></a> |
| 6829 | <div class="memitem"> |
| 6830 | <div class="memproto"> |
| 6831 | <table class="memname"> |
| 6832 | <tr> |
| 6833 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6834 | <td>(</td> |
| 6835 | <td class="paramtype">GoogLeNetInceptionV4FullyConnectedLayer </td> |
| 6836 | <td class="paramname">, </td> |
| 6837 | </tr> |
| 6838 | <tr> |
| 6839 | <td class="paramkey"></td> |
| 6840 | <td></td> |
| 6841 | <td class="paramtype">NEFullyConnectedLayerFixture </td> |
| 6842 | <td class="paramname">, </td> |
| 6843 | </tr> |
| 6844 | <tr> |
| 6845 | <td class="paramkey"></td> |
| 6846 | <td></td> |
| 6847 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6848 | <td class="paramname">, </td> |
| 6849 | </tr> |
| 6850 | <tr> |
| 6851 | <td class="paramkey"></td> |
| 6852 | <td></td> |
| 6853 | <td class="paramtype">framework::dataset:: </td> |
| 6854 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4FullyConnectedLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6855 | </tr> |
| 6856 | <tr> |
| 6857 | <td></td> |
| 6858 | <td>)</td> |
| 6859 | <td></td><td></td> |
| 6860 | </tr> |
| 6861 | </table> |
| 6862 | </div><div class="memdoc"> |
| 6863 | |
| 6864 | </div> |
| 6865 | </div> |
| 6866 | <a class="anchor" id="a6692a58c12e2eff315715e6c971d0230"></a> |
| 6867 | <div class="memitem"> |
| 6868 | <div class="memproto"> |
| 6869 | <table class="memname"> |
| 6870 | <tr> |
| 6871 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6872 | <td>(</td> |
| 6873 | <td class="paramtype">SqueezeNetActivationLayer </td> |
| 6874 | <td class="paramname">, </td> |
| 6875 | </tr> |
| 6876 | <tr> |
| 6877 | <td class="paramkey"></td> |
| 6878 | <td></td> |
| 6879 | <td class="paramtype">NEActivationLayerFixture </td> |
| 6880 | <td class="paramname">, </td> |
| 6881 | </tr> |
| 6882 | <tr> |
| 6883 | <td class="paramkey"></td> |
| 6884 | <td></td> |
| 6885 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6886 | <td class="paramname">, </td> |
| 6887 | </tr> |
| 6888 | <tr> |
| 6889 | <td class="paramkey"></td> |
| 6890 | <td></td> |
| 6891 | <td class="paramtype">framework::dataset:: </td> |
| 6892 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6893 | </tr> |
| 6894 | <tr> |
| 6895 | <td></td> |
| 6896 | <td>)</td> |
| 6897 | <td></td><td></td> |
| 6898 | </tr> |
| 6899 | </table> |
| 6900 | </div><div class="memdoc"> |
| 6901 | |
| 6902 | </div> |
| 6903 | </div> |
| 6904 | <a class="anchor" id="a0ca04d4de125be45c16b579b43d53835"></a> |
| 6905 | <div class="memitem"> |
| 6906 | <div class="memproto"> |
| 6907 | <table class="memname"> |
| 6908 | <tr> |
| 6909 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6910 | <td>(</td> |
| 6911 | <td class="paramtype">YOLOV2ConvolutionLayer </td> |
| 6912 | <td class="paramname">, </td> |
| 6913 | </tr> |
| 6914 | <tr> |
| 6915 | <td class="paramkey"></td> |
| 6916 | <td></td> |
| 6917 | <td class="paramtype">NEConvolutionLayerFixture </td> |
| 6918 | <td class="paramname">, </td> |
| 6919 | </tr> |
| 6920 | <tr> |
| 6921 | <td class="paramkey"></td> |
| 6922 | <td></td> |
| 6923 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6924 | <td class="paramname">, </td> |
| 6925 | </tr> |
| 6926 | <tr> |
| 6927 | <td class="paramkey"></td> |
| 6928 | <td></td> |
| 6929 | <td class="paramtype">framework::dataset:: </td> |
| 6930 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 6931 | </tr> |
| 6932 | <tr> |
| 6933 | <td></td> |
| 6934 | <td>)</td> |
| 6935 | <td></td><td></td> |
| 6936 | </tr> |
| 6937 | </table> |
| 6938 | </div><div class="memdoc"> |
| 6939 | |
| 6940 | </div> |
| 6941 | </div> |
| 6942 | <a class="anchor" id="ac06bd6612edf1bbb0c0f4b0d4aa86b32"></a> |
| 6943 | <div class="memitem"> |
| 6944 | <div class="memproto"> |
| 6945 | <table class="memname"> |
| 6946 | <tr> |
| 6947 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6948 | <td>(</td> |
| 6949 | <td class="paramtype">GoogLeNetInceptionV4PoolingLayer </td> |
| 6950 | <td class="paramname">, </td> |
| 6951 | </tr> |
| 6952 | <tr> |
| 6953 | <td class="paramkey"></td> |
| 6954 | <td></td> |
| 6955 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 6956 | <td class="paramname">, </td> |
| 6957 | </tr> |
| 6958 | <tr> |
| 6959 | <td class="paramkey"></td> |
| 6960 | <td></td> |
| 6961 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 6962 | <td class="paramname">, </td> |
| 6963 | </tr> |
| 6964 | <tr> |
| 6965 | <td class="paramkey"></td> |
| 6966 | <td></td> |
| 6967 | <td class="paramtype">framework::dataset:: </td> |
| 6968 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::GoogLeNetInceptionV4PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 6969 | </tr> |
| 6970 | <tr> |
| 6971 | <td></td> |
| 6972 | <td>)</td> |
| 6973 | <td></td><td></td> |
| 6974 | </tr> |
| 6975 | </table> |
| 6976 | </div><div class="memdoc"> |
| 6977 | |
| 6978 | </div> |
| 6979 | </div> |
| 6980 | <a class="anchor" id="a5a371e1a37be130dc9e8c905cd5efc29"></a> |
| 6981 | <div class="memitem"> |
| 6982 | <div class="memproto"> |
| 6983 | <table class="memname"> |
| 6984 | <tr> |
| 6985 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 6986 | <td>(</td> |
| 6987 | <td class="paramtype">VGG16ConvolutionLayer </td> |
| 6988 | <td class="paramname">, </td> |
| 6989 | </tr> |
| 6990 | <tr> |
| 6991 | <td class="paramkey"></td> |
| 6992 | <td></td> |
| 6993 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 6994 | <td class="paramname">, </td> |
| 6995 | </tr> |
| 6996 | <tr> |
| 6997 | <td class="paramkey"></td> |
| 6998 | <td></td> |
| 6999 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 7000 | <td class="paramname">, </td> |
| 7001 | </tr> |
| 7002 | <tr> |
| 7003 | <td class="paramkey"></td> |
| 7004 | <td></td> |
| 7005 | <td class="paramtype">framework::dataset:: </td> |
| 7006 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4}) </td> |
| 7007 | </tr> |
| 7008 | <tr> |
| 7009 | <td></td> |
| 7010 | <td>)</td> |
| 7011 | <td></td><td></td> |
| 7012 | </tr> |
| 7013 | </table> |
| 7014 | </div><div class="memdoc"> |
| 7015 | |
| 7016 | </div> |
| 7017 | </div> |
| 7018 | <a class="anchor" id="a26e3678291b5f879d82808eda0d39bc2"></a> |
| 7019 | <div class="memitem"> |
| 7020 | <div class="memproto"> |
| 7021 | <table class="memname"> |
| 7022 | <tr> |
| 7023 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 7024 | <td>(</td> |
| 7025 | <td class="paramtype">VGG16ActivationLayer </td> |
| 7026 | <td class="paramname">, </td> |
| 7027 | </tr> |
| 7028 | <tr> |
| 7029 | <td class="paramkey"></td> |
| 7030 | <td></td> |
| 7031 | <td class="paramtype">NEActivationLayerFixture </td> |
| 7032 | <td class="paramname">, </td> |
| 7033 | </tr> |
| 7034 | <tr> |
| 7035 | <td class="paramkey"></td> |
| 7036 | <td></td> |
| 7037 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 7038 | <td class="paramname">, </td> |
| 7039 | </tr> |
| 7040 | <tr> |
| 7041 | <td class="paramkey"></td> |
| 7042 | <td></td> |
| 7043 | <td class="paramtype">framework::dataset:: </td> |
| 7044 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 7045 | </tr> |
| 7046 | <tr> |
| 7047 | <td></td> |
| 7048 | <td>)</td> |
| 7049 | <td></td><td></td> |
| 7050 | </tr> |
| 7051 | </table> |
| 7052 | </div><div class="memdoc"> |
| 7053 | |
| 7054 | </div> |
| 7055 | </div> |
| 7056 | <a class="anchor" id="a5f97a3f0575116d348f47489487d4214"></a> |
| 7057 | <div class="memitem"> |
| 7058 | <div class="memproto"> |
| 7059 | <table class="memname"> |
| 7060 | <tr> |
| 7061 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 7062 | <td>(</td> |
| 7063 | <td class="paramtype">SqueezeNetPoolingLayer </td> |
| 7064 | <td class="paramname">, </td> |
| 7065 | </tr> |
| 7066 | <tr> |
| 7067 | <td class="paramkey"></td> |
| 7068 | <td></td> |
| 7069 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 7070 | <td class="paramname">, </td> |
| 7071 | </tr> |
| 7072 | <tr> |
| 7073 | <td class="paramkey"></td> |
| 7074 | <td></td> |
| 7075 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 7076 | <td class="paramname">, </td> |
| 7077 | </tr> |
| 7078 | <tr> |
| 7079 | <td class="paramkey"></td> |
| 7080 | <td></td> |
| 7081 | <td class="paramtype">framework::dataset:: </td> |
| 7082 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::SqueezeNetPoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 7083 | </tr> |
| 7084 | <tr> |
| 7085 | <td></td> |
| 7086 | <td>)</td> |
| 7087 | <td></td><td></td> |
| 7088 | </tr> |
| 7089 | </table> |
| 7090 | </div><div class="memdoc"> |
| 7091 | |
| 7092 | </div> |
| 7093 | </div> |
| 7094 | <a class="anchor" id="a7473924d4fdf2b5dec0d8ee9aa11e25d"></a> |
| 7095 | <div class="memitem"> |
| 7096 | <div class="memproto"> |
| 7097 | <table class="memname"> |
| 7098 | <tr> |
| 7099 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 7100 | <td>(</td> |
| 7101 | <td class="paramtype">YOLOV2ConvolutionLayer </td> |
| 7102 | <td class="paramname">, </td> |
| 7103 | </tr> |
| 7104 | <tr> |
| 7105 | <td class="paramkey"></td> |
| 7106 | <td></td> |
| 7107 | <td class="paramtype">CLConvolutionLayerFixture </td> |
| 7108 | <td class="paramname">, </td> |
| 7109 | </tr> |
| 7110 | <tr> |
| 7111 | <td class="paramkey"></td> |
| 7112 | <td></td> |
| 7113 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 7114 | <td class="paramname">, </td> |
| 7115 | </tr> |
| 7116 | <tr> |
| 7117 | <td class="paramkey"></td> |
| 7118 | <td></td> |
| 7119 | <td class="paramtype">framework::dataset:: </td> |
| 7120 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1, 4, 8}) </td> |
| 7121 | </tr> |
| 7122 | <tr> |
| 7123 | <td></td> |
| 7124 | <td>)</td> |
| 7125 | <td></td><td></td> |
| 7126 | </tr> |
| 7127 | </table> |
| 7128 | </div><div class="memdoc"> |
| 7129 | |
| 7130 | </div> |
| 7131 | </div> |
| 7132 | <a class="anchor" id="ab77581768cf2f7433ba92c2b42c4617e"></a> |
| 7133 | <div class="memitem"> |
| 7134 | <div class="memproto"> |
| 7135 | <table class="memname"> |
| 7136 | <tr> |
| 7137 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 7138 | <td>(</td> |
| 7139 | <td class="paramtype">YOLOV2ActivationLayer </td> |
| 7140 | <td class="paramname">, </td> |
| 7141 | </tr> |
| 7142 | <tr> |
| 7143 | <td class="paramkey"></td> |
| 7144 | <td></td> |
| 7145 | <td class="paramtype">NEActivationLayerFixture </td> |
| 7146 | <td class="paramname">, </td> |
| 7147 | </tr> |
| 7148 | <tr> |
| 7149 | <td class="paramkey"></td> |
| 7150 | <td></td> |
| 7151 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 7152 | <td class="paramname">, </td> |
| 7153 | </tr> |
| 7154 | <tr> |
| 7155 | <td class="paramkey"></td> |
| 7156 | <td></td> |
| 7157 | <td class="paramtype">framework::dataset:: </td> |
| 7158 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 7159 | </tr> |
| 7160 | <tr> |
| 7161 | <td></td> |
| 7162 | <td>)</td> |
| 7163 | <td></td><td></td> |
| 7164 | </tr> |
| 7165 | </table> |
| 7166 | </div><div class="memdoc"> |
| 7167 | |
| 7168 | </div> |
| 7169 | </div> |
| 7170 | <a class="anchor" id="a6a51ef57457c994f04d0b54e76387add"></a> |
| 7171 | <div class="memitem"> |
| 7172 | <div class="memproto"> |
| 7173 | <table class="memname"> |
| 7174 | <tr> |
| 7175 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 7176 | <td>(</td> |
| 7177 | <td class="paramtype">VGG16PoolingLayer </td> |
| 7178 | <td class="paramname">, </td> |
| 7179 | </tr> |
| 7180 | <tr> |
| 7181 | <td class="paramkey"></td> |
| 7182 | <td></td> |
| 7183 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 7184 | <td class="paramname">, </td> |
| 7185 | </tr> |
| 7186 | <tr> |
| 7187 | <td class="paramkey"></td> |
| 7188 | <td></td> |
| 7189 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 7190 | <td class="paramname">, </td> |
| 7191 | </tr> |
| 7192 | <tr> |
| 7193 | <td class="paramkey"></td> |
| 7194 | <td></td> |
| 7195 | <td class="paramtype">framework::dataset:: </td> |
| 7196 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::VGG16PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 7197 | </tr> |
| 7198 | <tr> |
| 7199 | <td></td> |
| 7200 | <td>)</td> |
| 7201 | <td></td><td></td> |
| 7202 | </tr> |
| 7203 | </table> |
| 7204 | </div><div class="memdoc"> |
| 7205 | |
| 7206 | </div> |
| 7207 | </div> |
| 7208 | <a class="anchor" id="a7d579c9d463693975486ea2248adc966"></a> |
| 7209 | <div class="memitem"> |
| 7210 | <div class="memproto"> |
| 7211 | <table class="memname"> |
| 7212 | <tr> |
| 7213 | <td class="memname">arm_compute::test::REGISTER_FIXTURE_DATA_TEST_CASE </td> |
| 7214 | <td>(</td> |
| 7215 | <td class="paramtype">YOLOV2PoolingLayer </td> |
| 7216 | <td class="paramname">, </td> |
| 7217 | </tr> |
| 7218 | <tr> |
| 7219 | <td class="paramkey"></td> |
| 7220 | <td></td> |
| 7221 | <td class="paramtype">CLPoolingLayerFixture </td> |
| 7222 | <td class="paramname">, </td> |
| 7223 | </tr> |
| 7224 | <tr> |
| 7225 | <td class="paramkey"></td> |
| 7226 | <td></td> |
| 7227 | <td class="paramtype">framework::DatasetMode::NIGHTLY </td> |
| 7228 | <td class="paramname">, </td> |
| 7229 | </tr> |
| 7230 | <tr> |
| 7231 | <td class="paramkey"></td> |
| 7232 | <td></td> |
| 7233 | <td class="paramtype">framework::dataset:: </td> |
| 7234 | <td class="paramname"><em>combine</em>framework::dataset::combine(datasets::YOLOV2PoolingLayerDataset(), data_types), framework::dataset::make("Batches",{4, 8}) </td> |
| 7235 | </tr> |
| 7236 | <tr> |
| 7237 | <td></td> |
| 7238 | <td>)</td> |
| 7239 | <td></td><td></td> |
| 7240 | </tr> |
| 7241 | </table> |
| 7242 | </div><div class="memdoc"> |
| 7243 | |
| 7244 | </div> |
| 7245 | </div> |
| 7246 | <a class="anchor" id="ad93bb148a873f19ad7692756e59617f4"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7247 | <div class="memitem"> |
| 7248 | <div class="memproto"> |
| 7249 | <table class="mlabels"> |
| 7250 | <tr> |
| 7251 | <td class="mlabels-left"> |
| 7252 | <table class="memname"> |
| 7253 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7254 | <td class="memname">T arm_compute::test::round_half_even </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7255 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7256 | <td class="paramtype">T </td> |
| 7257 | <td class="paramname"><em>value</em>, </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7258 | </tr> |
| 7259 | <tr> |
| 7260 | <td class="paramkey"></td> |
| 7261 | <td></td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7262 | <td class="paramtype">T </td> |
| 7263 | <td class="paramname"><em>epsilon</em> = <code>std::numeric_limits<T>::epsilon()</code> </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7264 | </tr> |
| 7265 | <tr> |
| 7266 | <td></td> |
| 7267 | <td>)</td> |
| 7268 | <td></td><td></td> |
| 7269 | </tr> |
| 7270 | </table> |
| 7271 | </td> |
| 7272 | <td class="mlabels-right"> |
| 7273 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 7274 | </tr> |
| 7275 | </table> |
| 7276 | </div><div class="memdoc"> |
| 7277 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7278 | <p>Round floating-point value with half value rounding to nearest even. </p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7279 | <dl class="params"><dt>Parameters</dt><dd> |
| 7280 | <table class="params"> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7281 | <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>floating-point value to be rounded. </td></tr> |
| 7282 | <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>precision.</td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7283 | </table> |
| 7284 | </dd> |
| 7285 | </dl> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7286 | <dl class="section return"><dt>Returns</dt><dd>Floating-point value of rounded <code>value</code>. </dd></dl> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7287 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7288 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00069">69</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7289 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7290 | <p>References <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00914">arm_compute::test::fixed_point_arithmetic::detail::abs()</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00259">arm_compute::support::cpp11::copysign()</a>, and <a class="el" href="_toolchain_support_8h_source.xhtml#l00228">arm_compute::support::cpp11::round()</a>.</p> |
| 7291 | <div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> {</div> |
| 7292 | <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  T positive_value = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>);</div> |
| 7293 | <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  T ipart = 0;</div> |
| 7294 | <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  std::modf(positive_value, &ipart);</div> |
| 7295 | <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// If 'value' is exactly halfway between two integers</span></div> |
| 7296 | <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">std::abs</a>(positive_value - (ipart + 0.5f)) < epsilon)</div> |
| 7297 | <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div> |
| 7298 | <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// If 'ipart' is even then return 'ipart'</span></div> |
| 7299 | <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">if</span>(std::fmod(ipart, 2.f) < epsilon)</div> |
| 7300 | <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div> |
| 7301 | <div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a28096f8372c0ad762864c790917375e2">support::cpp11::copysign</a>(ipart, <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>);</div> |
| 7302 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div> |
| 7303 | <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="comment">// Else return the nearest even integer</span></div> |
| 7304 | <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a28096f8372c0ad762864c790917375e2">support::cpp11::copysign</a>(std::ceil(ipart + 0.5f), <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>);</div> |
| 7305 | <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div> |
| 7306 | <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Otherwise use the usual round to closest</span></div> |
| 7307 | <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a28096f8372c0ad762864c790917375e2">support::cpp11::copysign</a>(<a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e">support::cpp11::round</a>(positive_value), <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>);</div> |
| 7308 | <div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div> |
| 7309 | <div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_a28096f8372c0ad762864c790917375e2"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a28096f8372c0ad762864c790917375e2">arm_compute::support::cpp11::copysign</a></div><div class="ttdeci">T copysign(T x, T y)</div><div class="ttdoc">Composes a floating point value with the magnitude of x and the sign of y. </div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00259">ToolchainSupport.h:259</a></div></div> |
| 7310 | <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div> |
| 7311 | <div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_ab71c35ca207b916a9f8b0336ab88484e"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#ab71c35ca207b916a9f8b0336ab88484e">arm_compute::support::cpp11::round</a></div><div class="ttdeci">T round(T value)</div><div class="ttdoc">Round floating-point value with half value rounding away from zero. </div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00228">ToolchainSupport.h:228</a></div></div> |
| 7312 | <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ae115fc750a92fb6a5e094998b56fcc56"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">arm_compute::test::fixed_point_arithmetic::detail::abs</a></div><div class="ttdeci">fixed_point< T > abs(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00914">FixedPoint.h:914</a></div></div> |
| 7313 | </div><!-- fragment --> |
| 7314 | </div> |
| 7315 | </div> |
| 7316 | <a class="anchor" id="af4bcf30f8c56f547f66d61c7c5ae01db"></a> |
| 7317 | <div class="memitem"> |
| 7318 | <div class="memproto"> |
| 7319 | <table class="mlabels"> |
| 7320 | <tr> |
| 7321 | <td class="mlabels-left"> |
| 7322 | <table class="memname"> |
| 7323 | <tr> |
| 7324 | <td class="memname">T arm_compute::test::round_half_up </td> |
| 7325 | <td>(</td> |
| 7326 | <td class="paramtype">T </td> |
| 7327 | <td class="paramname"><em>value</em></td><td>)</td> |
| 7328 | <td></td> |
| 7329 | </tr> |
| 7330 | </table> |
| 7331 | </td> |
| 7332 | <td class="mlabels-right"> |
| 7333 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 7334 | </tr> |
| 7335 | </table> |
| 7336 | </div><div class="memdoc"> |
| 7337 | |
| 7338 | <p>Round floating-point value with half value rounding to positive infinity. </p> |
| 7339 | <dl class="params"><dt>Parameters</dt><dd> |
| 7340 | <table class="params"> |
| 7341 | <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>floating-point value to be rounded.</td></tr> |
| 7342 | </table> |
| 7343 | </dd> |
| 7344 | </dl> |
| 7345 | <dl class="section return"><dt>Returns</dt><dd>Floating-point value of rounded <code>value</code>. </dd></dl> |
| 7346 | |
| 7347 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00056">56</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 7348 | <div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div> |
| 7349 | <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">return</span> std::floor(<a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a> + 0.5f);</div> |
| 7350 | <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div> |
| 7351 | <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7352 | </div><!-- fragment --> |
| 7353 | </div> |
| 7354 | </div> |
| 7355 | <a class="anchor" id="a4965b2f6821e0cf0afee738158bd8377"></a> |
| 7356 | <div class="memitem"> |
| 7357 | <div class="memproto"> |
| 7358 | <table class="memname"> |
| 7359 | <tr> |
| 7360 | <td class="memname">T arm_compute::test::saturate_cast </td> |
| 7361 | <td>(</td> |
| 7362 | <td class="paramtype">T </td> |
| 7363 | <td class="paramname"><em>val</em></td><td>)</td> |
| 7364 | <td></td> |
| 7365 | </tr> |
| 7366 | </table> |
| 7367 | </div><div class="memdoc"> |
| 7368 | |
| 7369 | <p>Saturate a value of type T against the numeric limits of type U. </p> |
| 7370 | <dl class="params"><dt>Parameters</dt><dd> |
| 7371 | <table class="params"> |
| 7372 | <tr><td class="paramdir">[in]</td><td class="paramname">val</td><td>Value to be saturated.</td></tr> |
| 7373 | </table> |
| 7374 | </dd> |
| 7375 | </dl> |
| 7376 | <dl class="section return"><dt>Returns</dt><dd>saturated value. </dd></dl> |
| 7377 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7378 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00278">278</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7379 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7380 | <p>References <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">arm_compute::test::fixed_point_arithmetic::detail::max()</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7381 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7382 | <p>Referenced by <a class="el" href="validation_2_c_p_p_2_depthwise_convolution_8cpp_source.xhtml#l00048">arm_compute::test::validation::reference::depthwise_convolution()</a>, and <a class="el" href="_c_p_p_2_non_linear_filter_8cpp_source.xhtml#l00036">arm_compute::test::validation::reference::non_linear_filter()</a>.</p> |
| 7383 | <div class="fragment"><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> {</div> |
| 7384 | <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">if</span>(val > static_cast<T>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<U>::max</a>()))</div> |
| 7385 | <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {</div> |
| 7386 | <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  val = <span class="keyword">static_cast<</span>T<span class="keyword">></span>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::numeric_limits<U>::max</a>());</div> |
| 7387 | <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  }</div> |
| 7388 | <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">if</span>(val < static_cast<T>(std::numeric_limits<U>::lowest()))</div> |
| 7389 | <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div> |
| 7390 | <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  val = <span class="keyword">static_cast<</span>T<span class="keyword">></span>(std::numeric_limits<U>::lowest());</div> |
| 7391 | <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div> |
| 7392 | <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">return</span> val;</div> |
| 7393 | <div class="line"><a name="l00289"></a><span class="lineno"> 289</span> }</div> |
| 7394 | <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7395 | </div><!-- fragment --> |
| 7396 | </div> |
| 7397 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7398 | <a class="anchor" id="a4c9ad143c34306817986409ffb1dbd40"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7399 | <div class="memitem"> |
| 7400 | <div class="memproto"> |
| 7401 | <table class="mlabels"> |
| 7402 | <tr> |
| 7403 | <td class="mlabels-left"> |
| 7404 | <table class="memname"> |
| 7405 | <tr> |
| 7406 | <td class="memname"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> arm_compute::test::shape_to_valid_region </td> |
| 7407 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7408 | <td class="paramtype">TensorShape </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7409 | <td class="paramname"><em>shape</em>, </td> |
| 7410 | </tr> |
| 7411 | <tr> |
| 7412 | <td class="paramkey"></td> |
| 7413 | <td></td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7414 | <td class="paramtype">bool </td> |
| 7415 | <td class="paramname"><em>border_undefined</em> = <code>false</code>, </td> |
| 7416 | </tr> |
| 7417 | <tr> |
| 7418 | <td class="paramkey"></td> |
| 7419 | <td></td> |
| 7420 | <td class="paramtype">BorderSize </td> |
| 7421 | <td class="paramname"><em>border_size</em> = <code>BorderSize(0)</code> </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7422 | </tr> |
| 7423 | <tr> |
| 7424 | <td></td> |
| 7425 | <td>)</td> |
| 7426 | <td></td><td></td> |
| 7427 | </tr> |
| 7428 | </table> |
| 7429 | </td> |
| 7430 | <td class="mlabels-right"> |
| 7431 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 7432 | </tr> |
| 7433 | </table> |
| 7434 | </div><div class="memdoc"> |
| 7435 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7436 | <p>Create a valid region based on tensor shape, border mode and border size. </p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7437 | <dl class="params"><dt>Parameters</dt><dd> |
| 7438 | <table class="params"> |
| 7439 | <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>Shape used as size of the valid region. </td></tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7440 | <tr><td class="paramdir">[in]</td><td class="paramname">border_undefined</td><td>(Optional) Boolean indicating if the border mode is undefined. </td></tr> |
| 7441 | <tr><td class="paramdir">[in]</td><td class="paramname">border_size</td><td>(Optional) Border size used to specify the region to exclude.</td></tr> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7442 | </table> |
| 7443 | </dd> |
| 7444 | </dl> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7445 | <dl class="section return"><dt>Returns</dt><dd>A valid region starting at (0, 0, ...) with size of <code>shape</code> if <code>border_undefined</code> is false; otherwise return A valid region starting at (<code>border_size.left</code>, <code>border_size.top</code>, ...) with reduced size of <code>shape</code>. </dd></dl> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7446 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7447 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00193">193</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7448 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7449 | <p>References <a class="el" href="_error_8h_source.xhtml#l00124">ARM_COMPUTE_ERROR_ON</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00109">Dimensions< T >::num_dimensions()</a>, <a class="el" href="_tensor_shape_8h_source.xhtml#l00074">TensorShape::set()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00074">Dimensions< T >::set()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00115">Dimensions< T >::set_num_dimensions()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00081">Dimensions< T >::x()</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00086">Dimensions< T >::y()</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7450 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7451 | <p>Referenced by <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00064">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_2_box3x3_8cpp_source.xhtml#l00091">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE()</a>, <a class="el" href="_c_p_p_2_non_linear_filter_8cpp_source.xhtml#l00036">arm_compute::test::validation::reference::non_linear_filter()</a>, <a class="el" href="_non_maxima_suppression_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::non_maxima_suppression()</a>, <a class="el" href="_c_p_p_2_sobel_8cpp_source.xhtml#l00106">arm_compute::test::validation::reference::sobel()</a>, and <a class="el" href="_validation_8h_source.xhtml#l00299">arm_compute::test::validation::validate()</a>.</p> |
| 7452 | <div class="fragment"><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> {</div> |
| 7453 | <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  Coordinates anchor;</div> |
| 7454 | <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  anchor.set_num_dimensions(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.num_dimensions());</div> |
| 7455 | <div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div> |
| 7456 | <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span>(border_undefined)</div> |
| 7457 | <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div> |
| 7458 | <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.num_dimensions() < 2);</div> |
| 7459 | <div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div> |
| 7460 | <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  anchor.set(0, border_size.left);</div> |
| 7461 | <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  anchor.set(1, border_size.top);</div> |
| 7462 | <div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div> |
| 7463 | <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> valid_shape_x = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(0, static_cast<int>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.x()) - static_cast<int>(border_size.left) - <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(border_size.right));</div> |
| 7464 | <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> valid_shape_y = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(0, static_cast<int>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.y()) - static_cast<int>(border_size.top) - <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(border_size.bottom));</div> |
| 7465 | <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div> |
| 7466 | <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.set(0, valid_shape_x);</div> |
| 7467 | <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>.set(1, valid_shape_y);</div> |
| 7468 | <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div> |
| 7469 | <div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div> |
| 7470 | <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> ValidRegion(std::move(anchor), std::move(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">shape</a>));</div> |
| 7471 | <div class="line"><a name="l00213"></a><span class="lineno"> 213</span> }</div> |
| 7472 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a45cde9abb508c62d67c3bb2b9bf566a5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a45cde9abb508c62d67c3bb2b9bf566a5">arm_compute::test::validation::shape</a></div><div class="ttdeci">shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00089">MinMaxLocation.cpp:89</a></div></div> |
| 7473 | <div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00124">Error.h:124</a></div></div> |
| 7474 | <div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00889">FixedPoint.h:889</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7475 | </div><!-- fragment --> |
| 7476 | </div> |
| 7477 | </div> |
| 7478 | <a class="anchor" id="a1e6934e95738573214c2ce1d6648d116"></a> |
| 7479 | <div class="memitem"> |
| 7480 | <div class="memproto"> |
| 7481 | <table class="memname"> |
| 7482 | <tr> |
| 7483 | <td class="memname">void arm_compute::test::store_value_with_data_type </td> |
| 7484 | <td>(</td> |
| 7485 | <td class="paramtype">void * </td> |
| 7486 | <td class="paramname"><em>ptr</em>, </td> |
| 7487 | </tr> |
| 7488 | <tr> |
| 7489 | <td class="paramkey"></td> |
| 7490 | <td></td> |
| 7491 | <td class="paramtype">T </td> |
| 7492 | <td class="paramname"><em>value</em>, </td> |
| 7493 | </tr> |
| 7494 | <tr> |
| 7495 | <td class="paramkey"></td> |
| 7496 | <td></td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7497 | <td class="paramtype">DataType </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7498 | <td class="paramname"><em>data_type</em> </td> |
| 7499 | </tr> |
| 7500 | <tr> |
| 7501 | <td></td> |
| 7502 | <td>)</td> |
| 7503 | <td></td><td></td> |
| 7504 | </tr> |
| 7505 | </table> |
| 7506 | </div><div class="memdoc"> |
| 7507 | |
| 7508 | <p>Write the value after casting the pointer according to <code>data_type</code>. </p> |
| 7509 | <dl class="section warning"><dt>Warning</dt><dd>The type of the value must match the specified data type.</dd></dl> |
| 7510 | <dl class="params"><dt>Parameters</dt><dd> |
| 7511 | <table class="params"> |
| 7512 | <tr><td class="paramdir">[out]</td><td class="paramname">ptr</td><td>Pointer to memory where the <code>value</code> will be written. </td></tr> |
| 7513 | <tr><td class="paramdir">[in]</td><td class="paramname">value</td><td>Value that will be written. </td></tr> |
| 7514 | <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type that will be written. </td></tr> |
| 7515 | </table> |
| 7516 | </dd> |
| 7517 | </dl> |
| 7518 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7519 | <p>Definition at line <a class="el" href="tests_2_utils_8h_source.xhtml#l00224">224</a> of file <a class="el" href="tests_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7520 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7521 | <p>References <a class="el" href="_error_8h_source.xhtml#l00031">ARM_COMPUTE_ERROR</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::F16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a1ad5f6f3069070ec4cbbdc94d5e61e0e">arm_compute::F64</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a48d877702a2957f5a932c43a357866f9">arm_compute::QS16</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a11cde4d3551db3f9498d339a67189543">arm_compute::QS8</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6e0b0886efb94aec797f6b830329b72c">arm_compute::S16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aa1e28eee0339658d39a8b4d325b56e9c">arm_compute::S32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a115dca124dc6423c7a400b8a8a0270cc">arm_compute::S64</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6aafb0fced528eaac5fe170b763cda5975">arm_compute::S8</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6abd7ef6d4f35bc7d05c559b65032f15d1">arm_compute::SIZET</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58aef9ef3ebca4d2b64b6ec83808bafa5f2">arm_compute::U16</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58ac8bd5bedff8ef192d39a962afc0e19ee">arm_compute::U32</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a31d65cccd6593e4101db93fb878abcaa">arm_compute::U64</a>, and <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a6669348b484e3008dca2bfa8e85e40b5">arm_compute::U8</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7522 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7523 | <p>Referenced by <a class="el" href="_assets_library_8h_source.xhtml#l00400">AssetsLibrary::fill()</a>, and <a class="el" href="_assets_library_8h_source.xhtml#l00374">AssetsLibrary::fill_borders_with_garbage()</a>.</p> |
| 7524 | <div class="fragment"><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> {</div> |
| 7525 | <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">data_type</a>)</div> |
| 7526 | <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div> |
| 7527 | <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">case</span> DataType::U8:</div> |
| 7528 | <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  *<span class="keyword">reinterpret_cast<</span>uint8_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7529 | <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">break</span>;</div> |
| 7530 | <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">case</span> DataType::S8:</div> |
| 7531 | <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">case</span> DataType::QS8:</div> |
| 7532 | <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  *<span class="keyword">reinterpret_cast<</span>int8_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7533 | <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">break</span>;</div> |
| 7534 | <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">case</span> DataType::U16:</div> |
| 7535 | <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  *<span class="keyword">reinterpret_cast<</span>uint16_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7536 | <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">break</span>;</div> |
| 7537 | <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">case</span> DataType::S16:</div> |
| 7538 | <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keywordflow">case</span> DataType::QS16:</div> |
| 7539 | <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  *<span class="keyword">reinterpret_cast<</span>int16_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7540 | <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">break</span>;</div> |
| 7541 | <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keywordflow">case</span> DataType::U32:</div> |
| 7542 | <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  *<span class="keyword">reinterpret_cast<</span>uint32_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7543 | <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">break</span>;</div> |
| 7544 | <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">case</span> DataType::S32:</div> |
| 7545 | <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  *<span class="keyword">reinterpret_cast<</span>int32_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7546 | <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordflow">break</span>;</div> |
| 7547 | <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">case</span> DataType::U64:</div> |
| 7548 | <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  *<span class="keyword">reinterpret_cast<</span>uint64_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7549 | <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">break</span>;</div> |
| 7550 | <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">case</span> DataType::S64:</div> |
| 7551 | <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  *<span class="keyword">reinterpret_cast<</span>int64_t *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7552 | <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">break</span>;</div> |
| 7553 | <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">case</span> DataType::F16:</div> |
| 7554 | <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  *<span class="keyword">reinterpret_cast<</span><a class="code" href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">half</a> *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7555 | <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keywordflow">break</span>;</div> |
| 7556 | <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">case</span> DataType::F32:</div> |
| 7557 | <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span> *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7558 | <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">break</span>;</div> |
| 7559 | <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">case</span> DataType::F64:</div> |
| 7560 | <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">double</span> *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7561 | <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">break</span>;</div> |
| 7562 | <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">case</span> DataType::SIZET:</div> |
| 7563 | <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  *<span class="keyword">reinterpret_cast<</span><span class="keywordtype">size_t</span> *<span class="keyword">></span>(ptr) = <a class="code" href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a>;</div> |
| 7564 | <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">break</span>;</div> |
| 7565 | <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">default</span>:</div> |
| 7566 | <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"NOT SUPPORTED!"</span>);</div> |
| 7567 | <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div> |
| 7568 | <div class="line"><a name="l00269"></a><span class="lineno"> 269</span> }</div> |
| 7569 | <div class="ttc" id="_error_8h_xhtml_a05b19c75afe9c24200a62b9724734bbd"><div class="ttname"><a href="_error_8h.xhtml#a05b19c75afe9c24200a62b9724734bbd">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(...)</div><div class="ttdoc">Print the given message then throw an std::runtime_error. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00031">Error.h:31</a></div></div> |
| 7570 | <div class="ttc" id="namespacearm__compute_xhtml_a73e2825fd61d349c5ca2f5313e3c8ea1"><div class="ttname"><a href="namespacearm__compute.xhtml#a73e2825fd61d349c5ca2f5313e3c8ea1">arm_compute::half</a></div><div class="ttdeci">half_float::half half</div><div class="ttdoc">16-bit floating point type </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00039">Types.h:39</a></div></div> |
| 7571 | <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ac2ad7f431e3446fddcd9b6b9f93c4c14"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ac2ad7f431e3446fddcd9b6b9f93c4c14">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_min_max_location_8cpp_source.xhtml#l00090">MinMaxLocation.cpp:90</a></div></div> |
| 7572 | <div class="ttc" id="hwc_8hpp_xhtml_a0f61d63b009d0880a89c843bd50d8d76"><div class="ttname"><a href="hwc_8hpp.xhtml#a0f61d63b009d0880a89c843bd50d8d76">value</a></div><div class="ttdeci">void * value</div><div class="ttdef"><b>Definition:</b> <a href="hwc_8hpp_source.xhtml#l00269">hwc.hpp:269</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7573 | </div><!-- fragment --> |
| 7574 | </div> |
| 7575 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7576 | <a class="anchor" id="a28edc8880596d14c099f3c2509efc8b3"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7577 | <div class="memitem"> |
| 7578 | <div class="memproto"> |
| 7579 | <table class="memname"> |
| 7580 | <tr> |
| 7581 | <td class="memname">void arm_compute::test::swap </td> |
| 7582 | <td>(</td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7583 | <td class="paramtype">SimpleTensor< U > & </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7584 | <td class="paramname"><em>tensor1</em>, </td> |
| 7585 | </tr> |
| 7586 | <tr> |
| 7587 | <td class="paramkey"></td> |
| 7588 | <td></td> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7589 | <td class="paramtype">SimpleTensor< U > & </td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7590 | <td class="paramname"><em>tensor2</em> </td> |
| 7591 | </tr> |
| 7592 | <tr> |
| 7593 | <td></td> |
| 7594 | <td>)</td> |
| 7595 | <td></td><td></td> |
| 7596 | </tr> |
| 7597 | </table> |
| 7598 | </div><div class="memdoc"> |
| 7599 | <dl class="params"><dt>Parameters</dt><dd> |
| 7600 | <table class="params"> |
| 7601 | <tr><td class="paramdir">[in,out]</td><td class="paramname">tensor1</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to be swapped. </td></tr> |
| 7602 | <tr><td class="paramdir">[in,out]</td><td class="paramname">tensor2</td><td><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> to be swapped. </td></tr> |
| 7603 | </table> |
| 7604 | </dd> |
| 7605 | </dl> |
| 7606 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7607 | <p>Definition at line <a class="el" href="_simple_tensor_8h_source.xhtml#l00335">335</a> of file <a class="el" href="_simple_tensor_8h_source.xhtml">SimpleTensor.h</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7608 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7609 | <p>Referenced by <a class="el" href="_simple_tensor_8h_source.xhtml#l00214">SimpleTensor< T >::operator=()</a>.</p> |
| 7610 | <div class="fragment"><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> {</div> |
| 7611 | <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="comment">// Use unqualified call to swap to enable ADL. But make std::swap available</span></div> |
| 7612 | <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// as backup.</span></div> |
| 7613 | <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keyword">using</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">std::swap</a>;</div> |
| 7614 | <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._shape, tensor2._shape);</div> |
| 7615 | <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._format, tensor2._format);</div> |
| 7616 | <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._data_type, tensor2._data_type);</div> |
| 7617 | <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._num_channels, tensor2._num_channels);</div> |
| 7618 | <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <a class="code" href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">swap</a>(tensor1._buffer, tensor2._buffer);</div> |
| 7619 | <div class="line"><a name="l00345"></a><span class="lineno"> 345</span> }</div> |
| 7620 | <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a28edc8880596d14c099f3c2509efc8b3"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a28edc8880596d14c099f3c2509efc8b3">arm_compute::test::swap</a></div><div class="ttdeci">void swap(SimpleTensor< U > &tensor1, SimpleTensor< U > &tensor2)</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00335">SimpleTensor.h:335</a></div></div> |
| 7621 | </div><!-- fragment --> |
| 7622 | </div> |
| 7623 | </div> |
| 7624 | <a class="anchor" id="a5b67cbf475b1e1d3bec9b0b937fdafac"></a> |
| 7625 | <div class="memitem"> |
| 7626 | <div class="memproto"> |
| 7627 | <table class="mlabels"> |
| 7628 | <tr> |
| 7629 | <td class="mlabels-left"> |
| 7630 | <table class="memname"> |
| 7631 | <tr> |
| 7632 | <td class="memname">std::string arm_compute::test::tolower </td> |
| 7633 | <td>(</td> |
| 7634 | <td class="paramtype">std::string </td> |
| 7635 | <td class="paramname"><em>string</em></td><td>)</td> |
| 7636 | <td></td> |
| 7637 | </tr> |
| 7638 | </table> |
| 7639 | </td> |
| 7640 | <td class="mlabels-right"> |
| 7641 | <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| 7642 | </tr> |
| 7643 | </table> |
| 7644 | </div><div class="memdoc"> |
| 7645 | |
| 7646 | <p>Convert string to lower case. </p> |
| 7647 | <dl class="params"><dt>Parameters</dt><dd> |
| 7648 | <table class="params"> |
| 7649 | <tr><td class="paramdir">[in]</td><td class="paramname">string</td><td>To be converted string.</td></tr> |
| 7650 | </table> |
| 7651 | </dd> |
| 7652 | </dl> |
| 7653 | <dl class="section return"><dt>Returns</dt><dd>Lower case string. </dd></dl> |
| 7654 | |
| 7655 | <p>Definition at line <a class="el" href="tests_2framework_2_utils_8h_source.xhtml#l00147">147</a> of file <a class="el" href="tests_2framework_2_utils_8h_source.xhtml">Utils.h</a>.</p> |
| 7656 | |
| 7657 | <p>Referenced by <a class="el" href="_dataset_modes_8cpp_source.xhtml#l00036">arm_compute::test::framework::dataset_mode_from_name()</a>, <a class="el" href="_instruments_8cpp_source.xhtml#l00037">arm_compute::test::framework::instrument_type_from_name()</a>, <a class="el" href="_printers_8cpp_source.xhtml#l00037">arm_compute::test::framework::log_format_from_name()</a>, and <a class="el" href="_exceptions_8cpp_source.xhtml#l00037">arm_compute::test::framework::log_level_from_name()</a>.</p> |
| 7658 | <div class="fragment"><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> {</div> |
| 7659 | <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  std::transform(<span class="keywordtype">string</span>.begin(), <span class="keywordtype">string</span>.end(), <span class="keywordtype">string</span>.begin(), [](<span class="keywordtype">unsigned</span> <span class="keywordtype">char</span> c)</div> |
| 7660 | <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {</div> |
| 7661 | <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test.xhtml#a5b67cbf475b1e1d3bec9b0b937fdafac">std::tolower</a>(c);</div> |
| 7662 | <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  });</div> |
| 7663 | <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> string;</div> |
| 7664 | <div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div> |
| 7665 | <div class="ttc" id="namespacearm__compute_1_1test_xhtml_a5b67cbf475b1e1d3bec9b0b937fdafac"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml#a5b67cbf475b1e1d3bec9b0b937fdafac">arm_compute::test::tolower</a></div><div class="ttdeci">std::string tolower(std::string string)</div><div class="ttdoc">Convert string to lower case. </div><div class="ttdef"><b>Definition:</b> <a href="tests_2framework_2_utils_8h_source.xhtml#l00147">Utils.h:147</a></div></div> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7666 | </div><!-- fragment --> |
| 7667 | </div> |
| 7668 | </div> |
| 7669 | <h2 class="groupheader">Variable Documentation</h2> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7670 | <a class="anchor" id="aab9a2ff74a27ae837d32a79a38952228"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7671 | <div class="memitem"> |
| 7672 | <div class="memproto"> |
| 7673 | <table class="memname"> |
| 7674 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7675 | <td class="memname">const auto data_types = <a class="el" href="namespacearm__compute_1_1test_1_1framework_1_1dataset.xhtml#a352791fb808d42a82ad70df5efa3508b">framework::dataset::make</a>("DataType", { DataType::F32 })</td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7676 | </tr> |
| 7677 | </table> |
| 7678 | </div><div class="memdoc"> |
| 7679 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7680 | <p>Definition at line <a class="el" href="benchmark_2_c_l_2_depthwise_convolution_8cpp_source.xhtml#l00040">40</a> of file <a class="el" href="benchmark_2_c_l_2_depthwise_convolution_8cpp_source.xhtml">DepthwiseConvolution.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7681 | |
| 7682 | </div> |
| 7683 | </div> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7684 | <a class="anchor" id="a71326f0909d77386e29b511e1990a11f"></a> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7685 | <div class="memitem"> |
| 7686 | <div class="memproto"> |
| 7687 | <table class="memname"> |
| 7688 | <tr> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7689 | <td class="memname">std::unique_ptr< <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml">AssetsLibrary</a> > library</td> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7690 | </tr> |
| 7691 | </table> |
| 7692 | </div><div class="memdoc"> |
| 7693 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7694 | <p>Definition at line <a class="el" href="main_8cpp_source.xhtml#l00054">54</a> of file <a class="el" href="main_8cpp_source.xhtml">main.cpp</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7695 | |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7696 | <p>Referenced by <a class="el" href="_c_l_2_harris_corners_8cpp_source.xhtml#l00057">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_le_net5_network_8h_source.xhtml#l00152">LeNet5Network< TensorType, arm_compute::test::Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction >::feed()</a>, <a class="el" href="_alex_net_network_8h_source.xhtml#l00413">AlexNetNetwork< ITensorType, TensorType, SubTensorType, arm_compute::test::Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction >::feed()</a>, <a class="el" href="_le_net5_network_8h_source.xhtml#l00136">LeNet5Network< TensorType, arm_compute::test::Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction >::fill()</a>, <a class="el" href="_alex_net_network_8h_source.xhtml#l00396">AlexNetNetwork< ITensorType, TensorType, SubTensorType, arm_compute::test::Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction >::fill()</a>, <a class="el" href="tests_2validation_2_helpers_8h_source.xhtml#l00169">arm_compute::test::validation::fill_lookuptable()</a>, <a class="el" href="_helpers_8cpp_source.xhtml#l00032">arm_compute::test::validation::fill_mask_from_pattern()</a>, <a class="el" href="_le_net5_network_8h_source.xhtml#l00120">LeNet5Network< TensorType, arm_compute::test::Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction >::fill_random()</a>, <a class="el" href="_alex_net_network_8h_source.xhtml#l00346">AlexNetNetwork< ITensorType, TensorType, SubTensorType, arm_compute::test::Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction >::fill_random()</a>, <a class="el" href="_helper_8h_source.xhtml#l00039">fill_tensors()</a>, <a class="el" href="_helpers_8cpp_source.xhtml#l00098">arm_compute::test::validation::harris_corners_parameters()</a>, <a class="el" href="main_8cpp_source.xhtml#l00058">main()</a>, <a class="el" href="benchmark_2fixtures_2_activation_layer_fixture_8h_source.xhtml#l00043">ActivationLayerFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_fully_connected_layer_fixture_8h_source.xhtml#l00043">FullyConnectedLayerFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_convolution_layer_fixture_8h_source.xhtml#l00043">ConvolutionLayerFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_g_e_m_m_fixture_8h_source.xhtml#l00043">GEMMFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_floor_fixture_8h_source.xhtml#l00043">FloorFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_normalization_layer_fixture_8h_source.xhtml#l00043">NormalizationLayerFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_depthwise_separable_convolution_layer_fixture_8h_source.xhtml#l00043">DepthwiseSeparableConvolutionLayerFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_pooling_layer_fixture_8h_source.xhtml#l00043">PoolingLayerFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_depthwise_convolution_fixture_8h_source.xhtml#l00043">DepthwiseConvolutionFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="benchmark_2fixtures_2_batch_normalization_layer_fixture_8h_source.xhtml#l00043">BatchNormalizationLayerFixture< TensorType, Function, Accessor >::setup()</a>, <a class="el" href="_r_o_i_pooling_layer_fixture_8h_source.xhtml#l00045">ROIPoolingLayerFixture< TensorType, Function, Accessor, Array_T, ArrayAccessor >::setup()</a>, <a class="el" href="_scale_fixture_8h_source.xhtml#l00047">ScaleValidationFixture< TensorType, AccessorType, FunctionType, T >::setup()</a>, <a class="el" href="_non_linear_filter_fixture_8h_source.xhtml#l00048">NonLinearFilterValidationFixture< TensorType, AccessorType, FunctionType, T >::setup()</a>, <a class="el" href="_gaussian3x3_fixture_8h_source.xhtml#l00049">Gaussian3x3ValidationFixture< TensorType, AccessorType, FunctionType, T >::setup()</a>, <a class="el" href="_gaussian5x5_fixture_8h_source.xhtml#l00049">Gaussian5x5ValidationFixture< TensorType, AccessorType, FunctionType, T >::setup()</a>, <a class="el" href="_box3x3_fixture_8h_source.xhtml#l00049">Box3x3ValidationFixture< TensorType, AccessorType, FunctionType, T >::setup()</a>, <a class="el" href="_depth_concatenate_layer_fixture_8h_source.xhtml#l00050">DepthConcatenateValidationFixture< TensorType, ITensorType, AccessorType, FunctionType, T >::setup()</a>, and <a class="el" href="_sobel_fixture_8h_source.xhtml#l00105">SobelValidationFixture< TensorType, AccessorType, FunctionType, T, U >::setup()</a>.</p> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7697 | |
| 7698 | </div> |
| 7699 | </div> |
| 7700 | </div><!-- contents --> |
| 7701 | </div><!-- doc-content --> |
| 7702 | <!-- start footer part --> |
| 7703 | <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| 7704 | <ul> |
| 7705 | <li class="navelem"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="namespacearm__compute_1_1test.xhtml">test</a></li> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7706 | <li class="footer">Generated on Thu Sep 28 2017 14:37:58 for Compute Library by |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7707 | <a href="http://www.doxygen.org/index.html"> |
| Kaizen | 8938bd3 | 2017-09-28 14:38:23 +0100 | [diff] [blame^] | 7708 | <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 </li> |
| Anthony Barbier | dbdab85 | 2017-06-23 15:42:00 +0100 | [diff] [blame] | 7709 | </ul> |
| 7710 | </div> |
| 7711 | </body> |
| 7712 | </html> |