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| <a href="#nested-classes">Data Structures</a> | |
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| <div class="title">arm_compute::detail Namespace Reference</div> </div> |
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| <div class="contents"> |
| <table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a> |
| Data Structures</h2></td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1brelu.xhtml">brelu</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Bounded RELU activation object. <a href="structarm__compute_1_1detail_1_1brelu.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1detail_1_1compare__dimension.xhtml">compare_dimension</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Function to compare two <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a> objects and throw an error on mismatch. <a href="classarm__compute_1_1detail_1_1compare__dimension.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1dummy.xhtml">dummy</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Dummy activation object. <a href="structarm__compute_1_1detail_1_1dummy.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1get__tensor__info__t.xhtml">get_tensor_info_t</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Get the info for a tensor, dummy struct. <a href="structarm__compute_1_1detail_1_1get__tensor__info__t.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml">get_tensor_info_t< ITensorInfo * ></a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Get the info for a tensor. <a href="structarm__compute_1_1detail_1_1get__tensor__info__t_3_01_i_tensor_info_01_5_01_4.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1linear.xhtml">linear</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Linear activation object. <a href="structarm__compute_1_1detail_1_1linear.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1logistic.xhtml">logistic</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Logistic activation object. <a href="structarm__compute_1_1detail_1_1logistic.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1lubrelu.xhtml">lubrelu</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Lower-Upper Bounded RELU activation object. <a href="structarm__compute_1_1detail_1_1lubrelu.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1relu.xhtml">relu</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">RELU activation object. <a href="structarm__compute_1_1detail_1_1relu.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarm__compute_1_1detail_1_1square.xhtml">square</a></td></tr> |
| <tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Square activation object. <a href="structarm__compute_1_1detail_1_1square.xhtml#details">More...</a><br /></td></tr> |
| <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> |
| Functions</h2></td></tr> |
| <tr class="memitem:afaba543670e99c2483e0bd1996201ba3"><td class="memItemLeft" align="right" valign="top">float32x4x3_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#afaba543670e99c2483e0bd1996201ba3">load_matrix_row</a> (const float *ptr)</td></tr> |
| <tr class="separator:afaba543670e99c2483e0bd1996201ba3"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a87f8e27c52a10ec90100fd5b0fcf663d"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:a87f8e27c52a10ec90100fd5b0fcf663d"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">convolve_3x3</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2)</td></tr> |
| <tr class="separator:a87f8e27c52a10ec90100fd5b0fcf663d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5d9c87411d51689909ba746f88bcff56"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a5d9c87411d51689909ba746f88bcff56"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a5d9c87411d51689909ba746f88bcff56">convolve_3x3< 1 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2)</td></tr> |
| <tr class="separator:a5d9c87411d51689909ba746f88bcff56"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2247cf9504428f406ed4da244fdb8d1c"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a2247cf9504428f406ed4da244fdb8d1c"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a2247cf9504428f406ed4da244fdb8d1c">convolve_3x3< 2 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2)</td></tr> |
| <tr class="separator:a2247cf9504428f406ed4da244fdb8d1c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab0766fc0a98f3257e3867ac59fb97d5f"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ab0766fc0a98f3257e3867ac59fb97d5f"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ab0766fc0a98f3257e3867ac59fb97d5f">convolve_3x3< 3 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2)</td></tr> |
| <tr class="separator:ab0766fc0a98f3257e3867ac59fb97d5f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a> (float *buffer, const float32x4x2_t &values)</td></tr> |
| <tr class="memdesc:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="mdescLeft"> </td><td class="mdescRight">Stores a float32x4x2_t array into a memory location. <a href="#a1ac67082e6f68cb7ed1939240fb6bdb5">More...</a><br /></td></tr> |
| <tr class="separator:a1ac67082e6f68cb7ed1939240fb6bdb5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad61a01ef06cc3c41e4bb5006d9307687"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ad61a01ef06cc3c41e4bb5006d9307687"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ad61a01ef06cc3c41e4bb5006d9307687">store_results< 1 ></a> (float *buffer, const float32x4x2_t &values)</td></tr> |
| <tr class="separator:ad61a01ef06cc3c41e4bb5006d9307687"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abaf3037739c190361ad3f827d73440a1"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:abaf3037739c190361ad3f827d73440a1"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#abaf3037739c190361ad3f827d73440a1">store_results< 2 ></a> (float *buffer, const float32x4x2_t &values)</td></tr> |
| <tr class="separator:abaf3037739c190361ad3f827d73440a1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a208468ac4ffbfe19d7fb03402ca927f6"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a208468ac4ffbfe19d7fb03402ca927f6"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a208468ac4ffbfe19d7fb03402ca927f6">store_results< 3 ></a> (float *buffer, const float32x4x2_t &values)</td></tr> |
| <tr class="separator:a208468ac4ffbfe19d7fb03402ca927f6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="memTemplItemLeft" align="right" valign="top">int </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a> (unsigned int num_elems_written_per_iteration)</td></tr> |
| <tr class="memdesc:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="mdescLeft"> </td><td class="mdescRight">Get the number of elements processed on 3x3 convolution. <a href="#a30f6368deaea5f10f9dd1bbaa28c24e6">More...</a><br /></td></tr> |
| <tr class="separator:a30f6368deaea5f10f9dd1bbaa28c24e6"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7a08a003e6ce7ea86cb7d8f4523c0eb5"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a7a08a003e6ce7ea86cb7d8f4523c0eb5"><td class="memTemplItemLeft" align="right" valign="top">int </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a7a08a003e6ce7ea86cb7d8f4523c0eb5">get_input_num_elems_processed< 1 ></a> (unsigned int num_elems_written_per_iteration)</td></tr> |
| <tr class="separator:a7a08a003e6ce7ea86cb7d8f4523c0eb5"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adbdb2272e2409d0c249ba467eaac81ea"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:adbdb2272e2409d0c249ba467eaac81ea"><td class="memTemplItemLeft" align="right" valign="top">int </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#adbdb2272e2409d0c249ba467eaac81ea">get_input_num_elems_processed< 2 ></a> (unsigned int num_elems_written_per_iteration)</td></tr> |
| <tr class="separator:adbdb2272e2409d0c249ba467eaac81ea"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae2a6fee9c18f26a5fab56c2d14289705"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ae2a6fee9c18f26a5fab56c2d14289705"><td class="memTemplItemLeft" align="right" valign="top">int </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ae2a6fee9c18f26a5fab56c2d14289705">get_input_num_elems_processed< 3 ></a> (unsigned int num_elems_written_per_iteration)</td></tr> |
| <tr class="separator:ae2a6fee9c18f26a5fab56c2d14289705"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5db34f1ae85326efebbe1dadb65f0301"><td class="memItemLeft" align="right" valign="top">float32x4x3_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a5db34f1ae85326efebbe1dadb65f0301">load_matrix_row</a> (const float *ptr, int weights_offset=0)</td></tr> |
| <tr class="memdesc:a5db34f1ae85326efebbe1dadb65f0301"><td class="mdescLeft"> </td><td class="mdescRight">Loads a 3x3 matrix as a row (float). <a href="#a5db34f1ae85326efebbe1dadb65f0301">More...</a><br /></td></tr> |
| <tr class="separator:a5db34f1ae85326efebbe1dadb65f0301"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8b01a1b2b7bd61029dfaa8601b23b4fc"><td class="memItemLeft" align="right" valign="top">int32x4x3_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a8b01a1b2b7bd61029dfaa8601b23b4fc">load_matrix_row</a> (const uint8_t *ptr, int weights_offset=0)</td></tr> |
| <tr class="memdesc:a8b01a1b2b7bd61029dfaa8601b23b4fc"><td class="mdescLeft"> </td><td class="mdescRight">Loads a 3x3 matrix as a row (uint8_t). <a href="#a8b01a1b2b7bd61029dfaa8601b23b4fc">More...</a><br /></td></tr> |
| <tr class="separator:a8b01a1b2b7bd61029dfaa8601b23b4fc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a703f0d5487e077348c2ac6bce80d9abb"><td class="memItemLeft" align="right" valign="top">float32x4_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a703f0d5487e077348c2ac6bce80d9abb">single_convolve_3x3_dilation</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="memdesc:a703f0d5487e077348c2ac6bce80d9abb"><td class="mdescLeft"> </td><td class="mdescRight">Perform a 3x3 convolution for 4 consecutive elements on float32 when dilation.x() or dilation.y() is not 1. <a href="#a703f0d5487e077348c2ac6bce80d9abb">More...</a><br /></td></tr> |
| <tr class="separator:a703f0d5487e077348c2ac6bce80d9abb"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aaddda26efa47a7ae48a99cb9e0da5ded"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:aaddda26efa47a7ae48a99cb9e0da5ded"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#aaddda26efa47a7ae48a99cb9e0da5ded">convolve_3x3_dilation</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, const size_t dilation_x, int input_offset=0)</td></tr> |
| <tr class="memdesc:aaddda26efa47a7ae48a99cb9e0da5ded"><td class="mdescLeft"> </td><td class="mdescRight">Perform a 3x3 convolution for 8 consecutive elements on float32 when dilation.x() or dilation.y() is not 1. <a href="#aaddda26efa47a7ae48a99cb9e0da5ded">More...</a><br /></td></tr> |
| <tr class="separator:aaddda26efa47a7ae48a99cb9e0da5ded"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae95441c4b3e7ac3b5ee380d0eee08309"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ae95441c4b3e7ac3b5ee380d0eee08309"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ae95441c4b3e7ac3b5ee380d0eee08309">convolve_3x3_dilation< 1 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="separator:ae95441c4b3e7ac3b5ee380d0eee08309"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa8e9c2fce033617e1f841c0e86704710"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:aa8e9c2fce033617e1f841c0e86704710"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#aa8e9c2fce033617e1f841c0e86704710">convolve_3x3_dilation< 2 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="separator:aa8e9c2fce033617e1f841c0e86704710"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad2ce72e1df5c799c83fdec8bb7042eef"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ad2ce72e1df5c799c83fdec8bb7042eef"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ad2ce72e1df5c799c83fdec8bb7042eef">convolve_3x3_dilation< 3 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="separator:ad2ce72e1df5c799c83fdec8bb7042eef"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5e0f54a3b96d13df284f298349c0665a"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:a5e0f54a3b96d13df284f298349c0665a"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a5e0f54a3b96d13df284f298349c0665a">convolve_3x3</a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, int input_offset=0)</td></tr> |
| <tr class="memdesc:a5e0f54a3b96d13df284f298349c0665a"><td class="mdescLeft"> </td><td class="mdescRight">Perform a convolve3x3 on float32. <a href="#a5e0f54a3b96d13df284f298349c0665a">More...</a><br /></td></tr> |
| <tr class="separator:a5e0f54a3b96d13df284f298349c0665a"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a94d43dcfc4944b248483b487ff09ef91"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a94d43dcfc4944b248483b487ff09ef91"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a94d43dcfc4944b248483b487ff09ef91">convolve_3x3< 1 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, int input_offset)</td></tr> |
| <tr class="separator:a94d43dcfc4944b248483b487ff09ef91"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab7e696498dc262dc55dc90e8d4a2fc77"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ab7e696498dc262dc55dc90e8d4a2fc77"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ab7e696498dc262dc55dc90e8d4a2fc77">convolve_3x3< 2 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, int input_offset)</td></tr> |
| <tr class="separator:ab7e696498dc262dc55dc90e8d4a2fc77"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad6bd0765ae4fac0ff4373d4e3877a759"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ad6bd0765ae4fac0ff4373d4e3877a759"><td class="memTemplItemLeft" align="right" valign="top">float32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ad6bd0765ae4fac0ff4373d4e3877a759">convolve_3x3< 3 ></a> (const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2, int input_offset)</td></tr> |
| <tr class="separator:ad6bd0765ae4fac0ff4373d4e3877a759"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab981d9f1da663b405c24281bfd04b896"><td class="memItemLeft" align="right" valign="top">int32x4_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896">single_convolve_3x3_dilation</a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, size_t dilation_x, int input_offset)</td></tr> |
| <tr class="memdesc:ab981d9f1da663b405c24281bfd04b896"><td class="mdescLeft"> </td><td class="mdescRight">Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation.y() is not 1. <a href="#ab981d9f1da663b405c24281bfd04b896">More...</a><br /></td></tr> |
| <tr class="separator:ab981d9f1da663b405c24281bfd04b896"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae3da1e0c8d95c655479b6195d380f41e"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:ae3da1e0c8d95c655479b6195d380f41e"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ae3da1e0c8d95c655479b6195d380f41e">convolve_3x3_dilation</a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="memdesc:ae3da1e0c8d95c655479b6195d380f41e"><td class="mdescLeft"> </td><td class="mdescRight">Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation.y() is not 1. <a href="#ae3da1e0c8d95c655479b6195d380f41e">More...</a><br /></td></tr> |
| <tr class="separator:ae3da1e0c8d95c655479b6195d380f41e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae59b420eeccce8559edf150ecf9d5fdd"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ae59b420eeccce8559edf150ecf9d5fdd"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">convolve_3x3_dilation< 1 ></a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="separator:ae59b420eeccce8559edf150ecf9d5fdd"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a93001798dca50920585380cf5ae07a75"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a93001798dca50920585380cf5ae07a75"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a93001798dca50920585380cf5ae07a75">convolve_3x3_dilation< 2 ></a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="separator:a93001798dca50920585380cf5ae07a75"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad7fcd4c55c1214b2514b8b695c56424f"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:ad7fcd4c55c1214b2514b8b695c56424f"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#ad7fcd4c55c1214b2514b8b695c56424f">convolve_3x3_dilation< 3 ></a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</td></tr> |
| <tr class="separator:ad7fcd4c55c1214b2514b8b695c56424f"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0041ff0a5f1d498c9275977cd93ef2cc"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:a0041ff0a5f1d498c9275977cd93ef2cc"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a0041ff0a5f1d498c9275977cd93ef2cc">convolve_3x3</a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, int input_offset)</td></tr> |
| <tr class="memdesc:a0041ff0a5f1d498c9275977cd93ef2cc"><td class="mdescLeft"> </td><td class="mdescRight">Perform a convolve3x3 on uint8_t. <a href="#a0041ff0a5f1d498c9275977cd93ef2cc">More...</a><br /></td></tr> |
| <tr class="separator:a0041ff0a5f1d498c9275977cd93ef2cc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a740f46fcde6fabd70afc176fac5950bf"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a740f46fcde6fabd70afc176fac5950bf"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a740f46fcde6fabd70afc176fac5950bf">convolve_3x3< 1 ></a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, int input_offset)</td></tr> |
| <tr class="separator:a740f46fcde6fabd70afc176fac5950bf"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2aabdc940ba98f3b2c5a0e573cac8bcc"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a2aabdc940ba98f3b2c5a0e573cac8bcc"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a2aabdc940ba98f3b2c5a0e573cac8bcc">convolve_3x3< 2 ></a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, int input_offset)</td></tr> |
| <tr class="separator:a2aabdc940ba98f3b2c5a0e573cac8bcc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a96ebd967ad3ef1c2fcfaed80cab10567"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a96ebd967ad3ef1c2fcfaed80cab10567"><td class="memTemplItemLeft" align="right" valign="top">int32x4x2_t </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a96ebd967ad3ef1c2fcfaed80cab10567">convolve_3x3< 3 ></a> (const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, int input_offset)</td></tr> |
| <tr class="separator:a96ebd967ad3ef1c2fcfaed80cab10567"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aa9f26cd83047a111336033fb7466faf1"><td class="memTemplParams" colspan="2">template<unsigned int stridex> </td></tr> |
| <tr class="memitem:aa9f26cd83047a111336033fb7466faf1"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#aa9f26cd83047a111336033fb7466faf1">store_results</a> (int32_t *buffer, const int32x4x2_t &values)</td></tr> |
| <tr class="memdesc:aa9f26cd83047a111336033fb7466faf1"><td class="mdescLeft"> </td><td class="mdescRight">Stores a uint32_t array into a memory location. <a href="#aa9f26cd83047a111336033fb7466faf1">More...</a><br /></td></tr> |
| <tr class="separator:aa9f26cd83047a111336033fb7466faf1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a143f43b1fb56a8d806145e95d4c3995e"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a143f43b1fb56a8d806145e95d4c3995e"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a143f43b1fb56a8d806145e95d4c3995e">store_results< 1 ></a> (int32_t *buffer, const int32x4x2_t &values)</td></tr> |
| <tr class="separator:a143f43b1fb56a8d806145e95d4c3995e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af63e34203346681c35b68fcca2026a06"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:af63e34203346681c35b68fcca2026a06"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#af63e34203346681c35b68fcca2026a06">store_results< 2 ></a> (int32_t *buffer, const int32x4x2_t &values)</td></tr> |
| <tr class="separator:af63e34203346681c35b68fcca2026a06"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a991bde46f2841422fb98258127305050"><td class="memTemplParams" colspan="2">template<> </td></tr> |
| <tr class="memitem:a991bde46f2841422fb98258127305050"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a991bde46f2841422fb98258127305050">store_results< 3 ></a> (int32_t *buffer, const int32x4x2_t &values)</td></tr> |
| <tr class="separator:a991bde46f2841422fb98258127305050"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a17a8ccb1f281296a0ee7eb00693febbd"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a17a8ccb1f281296a0ee7eb00693febbd">get_input_num_elems_processed</a> (unsigned int num_elems_written_per_iteration, unsigned int stridex)</td></tr> |
| <tr class="separator:a17a8ccb1f281296a0ee7eb00693febbd"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a45d610a8bc262f7007c934293361e888"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:a45d610a8bc262f7007c934293361e888"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a45d610a8bc262f7007c934293361e888">have_different_dimensions</a> (const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>< T > &dim1, const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>< T > &dim2, unsigned int upper_dim)</td></tr> |
| <tr class="separator:a45d610a8bc262f7007c934293361e888"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a94a5ba47c282279f5279617b961b8599"><td class="memTemplParams" colspan="2">template<typename F > </td></tr> |
| <tr class="memitem:a94a5ba47c282279f5279617b961b8599"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a94a5ba47c282279f5279617b961b8599">for_each_error</a> (F &&)</td></tr> |
| <tr class="separator:a94a5ba47c282279f5279617b961b8599"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7955712fcb1027a92679cf656e9394cb"><td class="memTemplParams" colspan="2">template<typename F , typename T , typename... Ts> </td></tr> |
| <tr class="memitem:a7955712fcb1027a92679cf656e9394cb"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1detail.xhtml#a7955712fcb1027a92679cf656e9394cb">for_each_error</a> (F &&func, T &&arg, Ts &&... args)</td></tr> |
| <tr class="separator:a7955712fcb1027a92679cf656e9394cb"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a id="a87f8e27c52a10ec90100fd5b0fcf663d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a87f8e27c52a10ec90100fd5b0fcf663d">◆ </a></span>convolve_3x3() <span class="overload">[1/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float32x4x2_t arm_compute::detail::convolve_3x3 </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| </div> |
| </div> |
| <a id="a5e0f54a3b96d13df284f298349c0665a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5e0f54a3b96d13df284f298349c0665a">◆ </a></span>convolve_3x3() <span class="overload">[2/3]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float32x4x2_t arm_compute::detail::convolve_3x3 </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Perform a convolve3x3 on float32. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>(Optional) Input quantization offset. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a id="a0041ff0a5f1d498c9275977cd93ef2cc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0041ff0a5f1d498c9275977cd93ef2cc">◆ </a></span>convolve_3x3() <span class="overload">[3/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int32x4x2_t arm_compute::detail::convolve_3x3 </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Perform a convolve3x3 on uint8_t. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>(Optional) Input quantization offset. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a id="a5d9c87411d51689909ba746f88bcff56"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5d9c87411d51689909ba746f88bcff56">◆ </a></span>convolve_3x3< 1 >() <span class="overload">[1/3]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">51</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">const</span> float32x4x3_t vtop =</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  vld1q_f32(in_top),</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  vld1q_f32(in_top + 4),</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  vld1q_f32(in_top + 8)</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  };</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> float32x4x3_t vmid =</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  vld1q_f32(in_mid),</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  vld1q_f32(in_mid + 4),</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  vld1q_f32(in_mid + 8)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> float32x4x3_t vlow =</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  vld1q_f32(in_low),</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  vld1q_f32(in_low + 4),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  vld1q_f32(in_low + 8)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  };</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  float32x4x2_t out =</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  vmulq_f32(vtop.val[0], m0.val[0]),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  vmulq_f32(vtop.val[1], m0.val[0])</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  };</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 1), m0.val[1]);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 2), m0.val[2]);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 1), m1.val[1]);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 2), m1.val[2]);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 1), m2.val[1]);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 2), m2.val[2]);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 1), m0.val[1]);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 2), m0.val[2]);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  out.val[1] = vmlaq_f32(out.val[1], vmid.val[1], m1.val[0]);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 1), m1.val[1]);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 2), m1.val[2]);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  out.val[1] = vmlaq_f32(out.val[1], vlow.val[1], m2.val[0]);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 1), m2.val[1]);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 2), m2.val[2]);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00109">convolve_3x3< 2 >()</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00119">convolve_3x3< 3 >()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a94d43dcfc4944b248483b487ff09ef91"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a94d43dcfc4944b248483b487ff09ef91">◆ </a></span>convolve_3x3< 1 >() <span class="overload">[2/3]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00218">218</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> float32x4x3_t vtop =</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  vld1q_f32(in_top),</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  vld1q_f32(in_top + 4),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  vld1q_f32(in_top + 8)</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  }</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  };</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> float32x4x3_t vmid =</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  vld1q_f32(in_mid),</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  vld1q_f32(in_mid + 4),</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  vld1q_f32(in_mid + 8)</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  };</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">const</span> float32x4x3_t vlow =</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  {</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  vld1q_f32(in_low),</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  vld1q_f32(in_low + 4),</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  vld1q_f32(in_low + 8)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  };</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  float32x4x2_t out =</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  vmulq_f32(vtop.val[0], m0.val[0]),</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  vmulq_f32(vtop.val[1], m0.val[0])</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  };</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 1), m0.val[1]);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop.val[1], 2), m0.val[2]);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span> </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 1), m1.val[1]);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid.val[1], 2), m1.val[2]);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 1), m2.val[1]);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow.val[1], 2), m2.val[2]);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 1), m0.val[1]);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vtop.val[1], vtop.val[2], 2), m0.val[2]);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  out.val[1] = vmlaq_f32(out.val[1], vmid.val[1], m1.val[0]);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 1), m1.val[1]);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vmid.val[1], vmid.val[2], 2), m1.val[2]);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  out.val[1] = vmlaq_f32(out.val[1], vlow.val[1], m2.val[0]);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 1), m2.val[1]);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  out.val[1] = vmlaq_f32(out.val[1], vextq_f32(vlow.val[1], vlow.val[2], 2), m2.val[2]);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> }</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a740f46fcde6fabd70afc176fac5950bf">◆ </a></span>convolve_3x3< 1 >() <span class="overload">[3/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
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| <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
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| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
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| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00479">479</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="keyword">const</span> int32x4_t v_input_offset = vdupq_n_s32(input_offset);</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keyword">const</span> uint8x8x2_t vtop =</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  {</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  {</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  vld1_u8(in_top),</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  vld1_u8(in_top + 8)</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  };</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keyword">const</span> uint8x8x2_t vmid =</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  vld1_u8(in_mid),</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  vld1_u8(in_mid + 8)</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  }</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  };</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keyword">const</span> uint8x8x2_t vlow =</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  {</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  vld1_u8(in_low),</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  vld1_u8(in_low + 8)</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  };</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">const</span> int32x4x3_t vtop_s32 =</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  {</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[0])))),</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vtop.val[0])))),</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[1])))),</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  }</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  };</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">const</span> int32x4x3_t vmid_s32 =</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  {</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  {</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[0])))),</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vmid.val[0])))),</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[1])))),</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  };</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keyword">const</span> int32x4x3_t vlow_s32 =</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  {</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[0])))),</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_high_u16(vmovl_u8(vlow.val[0])))),</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[1])))),</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  }</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  };</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> </div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  int32x4x2_t out</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  {</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  vdupq_n_s32(0),</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  vdupq_n_s32(0),</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  }</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  };</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="comment">// 0</span></div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  out.val[0] = vmlaq_s32(out.val[0], vtop_s32.val[0], m0.val[0]);</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 1), m0.val[1]);</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vtop_s32.val[0], vtop_s32.val[1], 2), m0.val[2]);</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> </div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  out.val[0] = vmlaq_s32(out.val[0], vmid_s32.val[0], m1.val[0]);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 1), m1.val[1]);</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vmid_s32.val[0], vmid_s32.val[1], 2), m1.val[2]);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  out.val[0] = vmlaq_s32(out.val[0], vlow_s32.val[0], m2.val[0]);</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 1), m2.val[1]);</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  out.val[0] = vmlaq_s32(out.val[0], vextq_s32(vlow_s32.val[0], vlow_s32.val[1], 2), m2.val[2]);</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="comment">// 1</span></div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  out.val[1] = vmlaq_s32(out.val[1], vtop_s32.val[1], m0.val[0]);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 1), m0.val[1]);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vtop_s32.val[1], vtop_s32.val[2], 2), m0.val[2]);</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  out.val[1] = vmlaq_s32(out.val[1], vmid_s32.val[1], m1.val[0]);</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 1), m1.val[1]);</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vmid_s32.val[1], vmid_s32.val[2], 2), m1.val[2]);</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  out.val[1] = vmlaq_s32(out.val[1], vlow_s32.val[1], m2.val[0]);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 1), m2.val[1]);</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  out.val[1] = vmlaq_s32(out.val[1], vextq_s32(vlow_s32.val[1], vlow_s32.val[2], 2), m2.val[2]);</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> }</div></div><!-- fragment --> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a2247cf9504428f406ed4da244fdb8d1c">◆ </a></span>convolve_3x3< 2 >() <span class="overload">[1/3]</span></h2> |
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| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 2 > </td> |
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| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
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| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
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| <td class="paramtype">const float * </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em> </td> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00109">109</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#a5d9c87411d51689909ba746f88bcff56">convolve_3x3<1></a>(in_top, in_mid, in_low, m0, m1, m2);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a5d9c87411d51689909ba746f88bcff56"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a5d9c87411d51689909ba746f88bcff56">arm_compute::detail::convolve_3x3< 1 ></a></div><div class="ttdeci">float32x4x2_t convolve_3x3< 1 >(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">NEDirectConvolution3x3.h:51</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3< 1 >()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ab7e696498dc262dc55dc90e8d4a2fc77">◆ </a></span>convolve_3x3< 2 >() <span class="overload">[2/3]</span></h2> |
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| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 2 > </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
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| <td class="paramtype">const float * </td> |
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| <td class="paramtype">const float * </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
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| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00280">280</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> {</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keyword">const</span> float32x4x2_t vtop = vld2q_f32(in_top);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keyword">const</span> float32x4x2_t vmid = vld2q_f32(in_mid);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keyword">const</span> float32x4x2_t vlow = vld2q_f32(in_low);</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keyword">const</span> float32x4_t vtop_end = vld1q_f32(in_top + 8);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> float32x4_t vmid_end = vld1q_f32(in_mid + 8);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keyword">const</span> float32x4_t vlow_end = vld1q_f32(in_low + 8);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  float32x4x2_t out =</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  {</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  vmulq_f32(vtop.val[0], m0.val[0]),</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  vdupq_n_f32(0)</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  }</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  };</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  out.val[0] = vmlaq_f32(out.val[0], vtop.val[1], m0.val[1]);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vtop.val[0], vtop_end, 1), m0.val[2]);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  out.val[0] = vmlaq_f32(out.val[0], vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  out.val[0] = vmlaq_f32(out.val[0], vmid.val[1], m1.val[1]);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vmid.val[0], vmid_end, 1), m1.val[2]);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  out.val[0] = vmlaq_f32(out.val[0], vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  out.val[0] = vmlaq_f32(out.val[0], vlow.val[1], m2.val[1]);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  out.val[0] = vmlaq_f32(out.val[0], vextq_f32(vlow.val[0], vlow_end, 1), m2.val[2]);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> }</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
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| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>.</p> |
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| <a id="a2aabdc940ba98f3b2c5a0e573cac8bcc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a2aabdc940ba98f3b2c5a0e573cac8bcc">◆ </a></span>convolve_3x3< 2 >() <span class="overload">[3/3]</span></h2> |
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| <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 2 > </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
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| <td class="paramtype">const uint8_t * </td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
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| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00569">569</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> {</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  int32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#a740f46fcde6fabd70afc176fac5950bf">convolve_3x3<1></a>(in_top, in_mid, in_low, m0, m1, m2, input_offset);</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a740f46fcde6fabd70afc176fac5950bf"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a740f46fcde6fabd70afc176fac5950bf">arm_compute::detail::convolve_3x3< 1 ></a></div><div class="ttdeci">int32x4x2_t convolve_3x3< 1 >(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00479">NEDirectConvolutionDetail.h:479</a></div></div> |
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| <p class="reference">References <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3< 1 >()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ab0766fc0a98f3257e3867ac59fb97d5f">◆ </a></span>convolve_3x3< 3 >() <span class="overload">[1/3]</span></h2> |
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| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 3 > </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em> </td> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00119">119</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#a5d9c87411d51689909ba746f88bcff56">convolve_3x3<1></a>(in_top, in_mid, in_low, m0, m1, m2);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a5d9c87411d51689909ba746f88bcff56"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a5d9c87411d51689909ba746f88bcff56">arm_compute::detail::convolve_3x3< 1 ></a></div><div class="ttdeci">float32x4x2_t convolve_3x3< 1 >(const float *in_top, const float *in_mid, const float *in_low, const float32x4x3_t &m0, const float32x4x3_t &m1, const float32x4x3_t &m2)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">NEDirectConvolution3x3.h:51</a></div></div> |
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| <p class="reference">References <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3< 1 >()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ad6bd0765ae4fac0ff4373d4e3877a759">◆ </a></span>convolve_3x3< 3 >() <span class="overload">[2/3]</span></h2> |
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| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 3 > </td> |
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| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
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| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00314">314</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#a740f46fcde6fabd70afc176fac5950bf">convolve_3x3<1></a>(in_top, in_mid, in_low, m0, m1, m2, input_offset);</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> }</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a740f46fcde6fabd70afc176fac5950bf"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a740f46fcde6fabd70afc176fac5950bf">arm_compute::detail::convolve_3x3< 1 ></a></div><div class="ttdeci">int32x4x2_t convolve_3x3< 1 >(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00479">NEDirectConvolutionDetail.h:479</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3< 1 >()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a96ebd967ad3ef1c2fcfaed80cab10567"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a96ebd967ad3ef1c2fcfaed80cab10567">◆ </a></span>convolve_3x3< 3 >() <span class="overload">[3/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#a87f8e27c52a10ec90100fd5b0fcf663d">arm_compute::detail::convolve_3x3</a>< 3 > </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00581">581</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> {</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  int32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#a740f46fcde6fabd70afc176fac5950bf">convolve_3x3<1></a>(in_top, in_mid, in_low, m0, m1, m2, input_offset);</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a740f46fcde6fabd70afc176fac5950bf"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a740f46fcde6fabd70afc176fac5950bf">arm_compute::detail::convolve_3x3< 1 ></a></div><div class="ttdeci">int32x4x2_t convolve_3x3< 1 >(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00479">NEDirectConvolutionDetail.h:479</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00051">convolve_3x3< 1 >()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="aaddda26efa47a7ae48a99cb9e0da5ded"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aaddda26efa47a7ae48a99cb9e0da5ded">◆ </a></span>convolve_3x3_dilation() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float32x4x2_t arm_compute::detail::convolve_3x3_dilation </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p>Perform a 3x3 convolution for 8 consecutive elements on float32 when dilation.x() or dilation.y() is not 1. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>Dilation, in elements across x. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>(Optional) Input quantization offset. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a id="ae3da1e0c8d95c655479b6195d380f41e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae3da1e0c8d95c655479b6195d380f41e">◆ </a></span>convolve_3x3_dilation() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname">int32x4x2_t arm_compute::detail::convolve_3x3_dilation </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation.y() is not 1. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>Dilation, in elements across x. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>Input quantization offset. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a id="ae95441c4b3e7ac3b5ee380d0eee08309"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae95441c4b3e7ac3b5ee380d0eee08309">◆ </a></span>convolve_3x3_dilation< 1 >() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
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| <table class="memname"> |
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| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#aaddda26efa47a7ae48a99cb9e0da5ded">arm_compute::detail::convolve_3x3_dilation</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00157">157</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> {</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">const</span> float32x4x2_t out =</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  {</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896">single_convolve_3x3_dilation</a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset),</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896">single_convolve_3x3_dilation</a>(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset)</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  };</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ab981d9f1da663b405c24281bfd04b896"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896">arm_compute::detail::single_convolve_3x3_dilation</a></div><div class="ttdeci">int32x4_t single_convolve_3x3_dilation(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, size_t dilation_x, int input_offset)</div><div class="ttdoc">Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation....</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00337">NEDirectConvolutionDetail.h:337</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00094">single_convolve_3x3_dilation()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00175">convolve_3x3_dilation< 2 >()</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00189">convolve_3x3_dilation< 3 >()</a>.</p> |
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| <a id="ae59b420eeccce8559edf150ecf9d5fdd"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae59b420eeccce8559edf150ecf9d5fdd">◆ </a></span>convolve_3x3_dilation< 1 >() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
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| <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#aaddda26efa47a7ae48a99cb9e0da5ded">arm_compute::detail::convolve_3x3_dilation</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00426">426</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> {</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keyword">const</span> int32x4x2_t out =</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  {</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896">single_convolve_3x3_dilation</a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset),</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <a class="code" href="namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896">single_convolve_3x3_dilation</a>(in_top + 4, in_mid + 4, in_low + 4, m0, m1, m2, dilation_x, input_offset)</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  };</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ab981d9f1da663b405c24281bfd04b896"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ab981d9f1da663b405c24281bfd04b896">arm_compute::detail::single_convolve_3x3_dilation</a></div><div class="ttdeci">int32x4_t single_convolve_3x3_dilation(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, size_t dilation_x, int input_offset)</div><div class="ttdoc">Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation....</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00337">NEDirectConvolutionDetail.h:337</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00094">single_convolve_3x3_dilation()</a>.</p> |
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| <a id="aa8e9c2fce033617e1f841c0e86704710"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa8e9c2fce033617e1f841c0e86704710">◆ </a></span>convolve_3x3_dilation< 2 >() <span class="overload">[1/2]</span></h2> |
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| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#aaddda26efa47a7ae48a99cb9e0da5ded">arm_compute::detail::convolve_3x3_dilation</a>< 2 > </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00175">175</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">convolve_3x3_dilation<1></a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> }</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ae59b420eeccce8559edf150ecf9d5fdd"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">arm_compute::detail::convolve_3x3_dilation< 1 ></a></div><div class="ttdeci">int32x4x2_t convolve_3x3_dilation< 1 >(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00426">NEDirectConvolutionDetail.h:426</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00157">convolve_3x3_dilation< 1 >()</a>.</p> |
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| <a id="a93001798dca50920585380cf5ae07a75"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a93001798dca50920585380cf5ae07a75">◆ </a></span>convolve_3x3_dilation< 2 >() <span class="overload">[2/2]</span></h2> |
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| <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#aaddda26efa47a7ae48a99cb9e0da5ded">arm_compute::detail::convolve_3x3_dilation</a>< 2 > </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
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| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
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| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
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| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00440">440</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> {</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  int32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">convolve_3x3_dilation<1></a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 2), out.val[0], 1);</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 0), out.val[0], 2);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[1], 2), out.val[0], 3);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ae59b420eeccce8559edf150ecf9d5fdd"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">arm_compute::detail::convolve_3x3_dilation< 1 ></a></div><div class="ttdeci">int32x4x2_t convolve_3x3_dilation< 1 >(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00426">NEDirectConvolutionDetail.h:426</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00157">convolve_3x3_dilation< 1 >()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#ad2ce72e1df5c799c83fdec8bb7042eef">◆ </a></span>convolve_3x3_dilation< 3 >() <span class="overload">[1/2]</span></h2> |
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| <td class="memname">float32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#aaddda26efa47a7ae48a99cb9e0da5ded">arm_compute::detail::convolve_3x3_dilation</a>< 3 > </td> |
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| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
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| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00189">189</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  float32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">convolve_3x3_dilation<1></a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  ;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  out.val[0] = vsetq_lane_f32(vgetq_lane_f32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ae59b420eeccce8559edf150ecf9d5fdd"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">arm_compute::detail::convolve_3x3_dilation< 1 ></a></div><div class="ttdeci">int32x4x2_t convolve_3x3_dilation< 1 >(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00426">NEDirectConvolutionDetail.h:426</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>, and <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00157">convolve_3x3_dilation< 1 >()</a>.</p> |
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| <a id="ad7fcd4c55c1214b2514b8b695c56424f"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad7fcd4c55c1214b2514b8b695c56424f">◆ </a></span>convolve_3x3_dilation< 3 >() <span class="overload">[2/2]</span></h2> |
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| <td class="memname">int32x4x2_t <a class="el" href="namespacearm__compute_1_1detail.xhtml#aaddda26efa47a7ae48a99cb9e0da5ded">arm_compute::detail::convolve_3x3_dilation</a>< 3 > </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
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| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
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| <td class="paramtype">const int32x4x3_t & </td> |
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| <td class="paramtype">const size_t </td> |
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| <td class="paramtype">int </td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00453">453</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> {</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  int32x4x2_t out = <a class="code" href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">convolve_3x3_dilation<1></a>(in_top, in_mid, in_low, m0, m1, m2, dilation_x, input_offset);</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  out.val[0] = vsetq_lane_s32(vgetq_lane_s32(out.val[0], 3), out.val[0], 1);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> }</div><div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ae59b420eeccce8559edf150ecf9d5fdd"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ae59b420eeccce8559edf150ecf9d5fdd">arm_compute::detail::convolve_3x3_dilation< 1 ></a></div><div class="ttdeci">int32x4x2_t convolve_3x3_dilation< 1 >(const uint8_t *in_top, const uint8_t *in_mid, const uint8_t *in_low, const int32x4x3_t &m0, const int32x4x3_t &m1, const int32x4x3_t &m2, const size_t dilation_x, int input_offset)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution_detail_8h_source.xhtml#l00426">NEDirectConvolutionDetail.h:426</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00157">convolve_3x3_dilation< 1 >()</a>.</p> |
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| <a id="a94a5ba47c282279f5279617b961b8599"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a94a5ba47c282279f5279617b961b8599">◆ </a></span>for_each_error() <span class="overload">[1/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a> arm_compute::detail::for_each_error </td> |
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| <td class="paramtype">F && </td> |
| <td class="paramname"></td><td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_validate_8h_source.xhtml#l00108">108</a> of file <a class="el" href="_validate_8h_source.xhtml">Validate.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a>{};</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }</div><div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
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| <p class="reference">Referenced by <a class="el" href="_validate_8h_source.xhtml#l00280">arm_compute::error_on_mismatching_dimensions()</a>, and <a class="el" href="_validate_8h_source.xhtml#l00114">for_each_error()</a>.</p> |
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| <a id="a7955712fcb1027a92679cf656e9394cb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7955712fcb1027a92679cf656e9394cb">◆ </a></span>for_each_error() <span class="overload">[2/2]</span></h2> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a> arm_compute::detail::for_each_error </td> |
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| <td class="paramtype">F && </td> |
| <td class="paramname"><em>func</em>, </td> |
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| <p class="definition">Definition at line <a class="el" href="_validate_8h_source.xhtml#l00114">114</a> of file <a class="el" href="_validate_8h_source.xhtml">Validate.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(func(arg));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="namespacearm__compute_1_1detail.xhtml#a7955712fcb1027a92679cf656e9394cb">for_each_error</a>(func, <a class="code" href="namespace_gemm_tuner.xhtml#a8187411843a6284ffb964ef3fb9fcab3">args</a>...));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a>{};</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</div><div class="ttc" id="namespace_gemm_tuner_xhtml_a8187411843a6284ffb964ef3fb9fcab3"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#a8187411843a6284ffb964ef3fb9fcab3">GemmTuner.args</a></div><div class="ttdeci">args</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00555">GemmTuner.py:555</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00204">Error.h:204</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a7955712fcb1027a92679cf656e9394cb"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a7955712fcb1027a92679cf656e9394cb">arm_compute::detail::for_each_error</a></div><div class="ttdeci">arm_compute::Status for_each_error(F &&func, T &&arg, Ts &&... args)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00114">Validate.h:114</a></div></div> |
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| <p class="reference">References <a class="el" href="_gemm_tuner_8py_source.xhtml#l00555">GemmTuner::args</a>, <a class="el" href="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, and <a class="el" href="_validate_8h_source.xhtml#l00108">for_each_error()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a30f6368deaea5f10f9dd1bbaa28c24e6">◆ </a></span>get_input_num_elems_processed() <span class="overload">[1/2]</span></h2> |
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| <td class="memname">int get_input_num_elems_processed </td> |
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| <td class="paramname"><em>num_elems_written_per_iteration</em></td><td>)</td> |
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| <p>Get the number of elements processed on 3x3 convolution. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_elems_written_per_iteration</td><td>Number of elements written per iteration on 3x3 convolution.</td></tr> |
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| <dl class="section return"><dt>Returns</dt><dd>The number of elements processed. </dd></dl> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a17a8ccb1f281296a0ee7eb00693febbd">◆ </a></span>get_input_num_elems_processed() <span class="overload">[2/2]</span></h2> |
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| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_elems_written_per_iteration</em>, </td> |
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| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>stridex</em> </td> |
| </tr> |
| <tr> |
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| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00960">960</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> {</div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span>  <span class="keywordflow">switch</span>(stridex)</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  {</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keywordflow">case</span> 1:</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#a7a08a003e6ce7ea86cb7d8f4523c0eb5">get_input_num_elems_processed<1></a>(num_elems_written_per_iteration);</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keywordflow">case</span> 2:</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#adbdb2272e2409d0c249ba467eaac81ea">get_input_num_elems_processed<2></a>(num_elems_written_per_iteration);</div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span>  <span class="keywordflow">case</span> 3:</div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1detail.xhtml#ae2a6fee9c18f26a5fab56c2d14289705">get_input_num_elems_processed<3></a>(num_elems_written_per_iteration);</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <a class="code" href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a>(<span class="stringliteral">"stridex not supported"</span>);</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  }</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> }</div><div class="ttc" id="_error_8h_xhtml_a7cf8d8b669b8f7b05680230be30d60f4"><div class="ttname"><a href="_error_8h.xhtml#a7cf8d8b669b8f7b05680230be30d60f4">ARM_COMPUTE_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR(msg)</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#l00352">Error.h:352</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_ae2a6fee9c18f26a5fab56c2d14289705"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#ae2a6fee9c18f26a5fab56c2d14289705">arm_compute::detail::get_input_num_elems_processed< 3 ></a></div><div class="ttdeci">int get_input_num_elems_processed< 3 >(unsigned int num_elems_written_per_iteration)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00164">NEDirectConvolution3x3.h:164</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_adbdb2272e2409d0c249ba467eaac81ea"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#adbdb2272e2409d0c249ba467eaac81ea">arm_compute::detail::get_input_num_elems_processed< 2 ></a></div><div class="ttdeci">int get_input_num_elems_processed< 2 >(unsigned int num_elems_written_per_iteration)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00158">NEDirectConvolution3x3.h:158</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1detail_xhtml_a7a08a003e6ce7ea86cb7d8f4523c0eb5"><div class="ttname"><a href="namespacearm__compute_1_1detail.xhtml#a7a08a003e6ce7ea86cb7d8f4523c0eb5">arm_compute::detail::get_input_num_elems_processed< 1 ></a></div><div class="ttdeci">int get_input_num_elems_processed< 1 >(unsigned int num_elems_written_per_iteration)</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_direct_convolution3x3_8h_source.xhtml#l00152">NEDirectConvolution3x3.h:152</a></div></div> |
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| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00352">ARM_COMPUTE_ERROR</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00152">get_input_num_elems_processed< 1 >()</a>, <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00158">get_input_num_elems_processed< 2 >()</a>, and <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00164">get_input_num_elems_processed< 3 >()</a>.</p> |
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| </div> |
| </div> |
| <a id="a7a08a003e6ce7ea86cb7d8f4523c0eb5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7a08a003e6ce7ea86cb7d8f4523c0eb5">◆ </a></span>get_input_num_elems_processed< 1 >()</h2> |
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| <div class="memitem"> |
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| <td class="memname">int <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_elems_written_per_iteration</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00152">152</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">return</span> num_elems_written_per_iteration;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00960">get_input_num_elems_processed()</a>.</p> |
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| </div> |
| </div> |
| <a id="adbdb2272e2409d0c249ba467eaac81ea"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adbdb2272e2409d0c249ba467eaac81ea">◆ </a></span>get_input_num_elems_processed< 2 >()</h2> |
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| <div class="memitem"> |
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| <td class="memname">int <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a>< 2 > </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_elems_written_per_iteration</em></td><td>)</td> |
| <td></td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00158">158</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span> num_elems_written_per_iteration << 1;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00960">get_input_num_elems_processed()</a>.</p> |
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| </div> |
| </div> |
| <a id="ae2a6fee9c18f26a5fab56c2d14289705"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae2a6fee9c18f26a5fab56c2d14289705">◆ </a></span>get_input_num_elems_processed< 3 >()</h2> |
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| <div class="memitem"> |
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| <td class="memname">int <a class="el" href="namespacearm__compute_1_1detail.xhtml#a30f6368deaea5f10f9dd1bbaa28c24e6">get_input_num_elems_processed</a>< 3 > </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>num_elems_written_per_iteration</em></td><td>)</td> |
| <td></td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00164">164</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">return</span> num_elems_written_per_iteration * 3;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00960">get_input_num_elems_processed()</a>.</p> |
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| </div> |
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| <a id="a45d610a8bc262f7007c934293361e888"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a45d610a8bc262f7007c934293361e888">◆ </a></span>have_different_dimensions()</h2> |
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| <td class="memname">bool arm_compute::detail::have_different_dimensions </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>< T > & </td> |
| <td class="paramname"><em>dim1</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_dimensions.xhtml">Dimensions</a>< T > & </td> |
| <td class="paramname"><em>dim2</em>, </td> |
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| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>upper_dim</em> </td> |
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| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_validate_8h_source.xhtml#l00051">51</a> of file <a class="el" href="_validate_8h_source.xhtml">Validate.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = upper_dim; i < arm_compute::Dimensions<T>::num_max_dimensions; ++i)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span>(dim1[i] != dim2[i])</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> }</div></div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_validate_8h_source.xhtml#l00403">arm_compute::error_on_mismatching_shapes()</a>, <a class="el" href="_validate_8h_source.xhtml#l00303">arm_compute::error_on_tensors_not_even()</a>, <a class="el" href="_validate_8h_source.xhtml#l00336">arm_compute::error_on_tensors_not_subsampled()</a>, and <a class="el" href="_validate_8h_source.xhtml#l00093">compare_dimension< T >::operator()()</a>.</p> |
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| <a id="afaba543670e99c2483e0bd1996201ba3"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afaba543670e99c2483e0bd1996201ba3">◆ </a></span>load_matrix_row() <span class="overload">[1/3]</span></h2> |
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| <td class="memname">float32x4x3_t arm_compute::detail::load_matrix_row </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>ptr</em></td><td>)</td> |
| <td></td> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00034">34</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">const</span> float32x4x3_t r =</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  vld1q_dup_f32(ptr),</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  vld1q_dup_f32(1 + ptr),</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  vld1q_dup_f32(2 + ptr)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  }</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  };</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> }</div></div><!-- fragment --> |
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| <a id="a5db34f1ae85326efebbe1dadb65f0301"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5db34f1ae85326efebbe1dadb65f0301">◆ </a></span>load_matrix_row() <span class="overload">[2/3]</span></h2> |
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| <td class="memname">float32x4x3_t arm_compute::detail::load_matrix_row </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>ptr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
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| <td class="paramtype">int </td> |
| <td class="paramname"><em>weights_offset</em> = <code>0</code> </td> |
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| <td>)</td> |
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| <p>Loads a 3x3 matrix as a row (float). </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ptr</td><td>Pointer to a float 3x3 matrix. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">weights_offset</td><td>(Optional) Weights quantization offset.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>The loaded matrix. </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00044">44</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(weights_offset);</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">const</span> float32x4x3_t r =</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  vld1q_dup_f32(ptr),</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  vld1q_dup_f32(1 + ptr),</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  vld1q_dup_f32(2 + ptr)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  };</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
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| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>.</p> |
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| <a id="a8b01a1b2b7bd61029dfaa8601b23b4fc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a8b01a1b2b7bd61029dfaa8601b23b4fc">◆ </a></span>load_matrix_row() <span class="overload">[3/3]</span></h2> |
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| <td class="memname">int32x4x3_t arm_compute::detail::load_matrix_row </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>ptr</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
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| <td class="paramtype">int </td> |
| <td class="paramname"><em>weights_offset</em> = <code>0</code> </td> |
| </tr> |
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| <td>)</td> |
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| <p>Loads a 3x3 matrix as a row (uint8_t). </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ptr</td><td>Pointer to a uint8_t 3x3 matrix. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">weights_offset</td><td>(Optional) Weights quantization offset.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>The loaded matrix. </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00065">65</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> int32x4_t v_weights_offset = vdupq_n_s32(weights_offset);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">/* ptr is a pointer to a row in a 3x3 matrix, the function returns 3 vectors holding exactly the same value in all lanes:</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> r.val[0] contains the first element, r.val[1] the second element and r.val[2] the third element (in all lanes) */</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  int32x4x3_t r =</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  vaddq_s32(v_weights_offset, vdupq_n_s32(*ptr)),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 1))),</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  vaddq_s32(v_weights_offset, vdupq_n_s32(*(ptr + 2)))</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  };</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">return</span> r;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> }</div></div><!-- fragment --> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a703f0d5487e077348c2ac6bce80d9abb">◆ </a></span>single_convolve_3x3_dilation() <span class="overload">[1/2]</span></h2> |
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| <td class="memname">float32x4_t arm_compute::detail::single_convolve_3x3_dilation </td> |
| <td>(</td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
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| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
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| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Perform a 3x3 convolution for 4 consecutive elements on float32 when dilation.x() or dilation.y() is not 1. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>Dilation, in elements across x. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>(Optional) Input quantization offset. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00094">94</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(input_offset);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> float32x4x3_t vtop =</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  vld1q_f32(in_top),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  vld1q_f32(in_top + dilation_x),</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  vld1q_f32(in_top + 2 * dilation_x)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  };</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">const</span> float32x4x3_t vmid =</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  vld1q_f32(in_mid),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  vld1q_f32(in_mid + dilation_x),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  vld1q_f32(in_mid + 2 * dilation_x)</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  };</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">const</span> float32x4x3_t vlow =</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  {</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  vld1q_f32(in_low),</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  vld1q_f32(in_low + dilation_x),</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  vld1q_f32(in_low + 2 * dilation_x)</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  };</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  float32x4_t out = vmulq_f32(vtop.val[0], m0.val[0]);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  out = vmlaq_f32(out, vtop.val[1], m0.val[1]);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  out = vmlaq_f32(out, vtop.val[2], m0.val[2]);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  out = vmlaq_f32(out, vmid.val[0], m1.val[0]);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  out = vmlaq_f32(out, vmid.val[1], m1.val[1]);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  out = vmlaq_f32(out, vmid.val[2], m1.val[2]);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  out = vmlaq_f32(out, vlow.val[0], m2.val[0]);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  out = vmlaq_f32(out, vlow.val[1], m2.val[1]);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  out = vmlaq_f32(out, vlow.val[2], m2.val[2]);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> }</div><div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00152">ARM_COMPUTE_UNUSED</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00157">convolve_3x3_dilation< 1 >()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ab981d9f1da663b405c24281bfd04b896"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab981d9f1da663b405c24281bfd04b896">◆ </a></span>single_convolve_3x3_dilation() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int32x4_t arm_compute::detail::single_convolve_3x3_dilation </td> |
| <td>(</td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_top</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_mid</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const uint8_t * </td> |
| <td class="paramname"><em>in_low</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m0</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m1</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x3_t & </td> |
| <td class="paramname"><em>m2</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>dilation_x</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>input_offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Perform a 3x3 convolution for 4 consecutive elements on uint8_t when dilation.x() or dilation.y() is not 1. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_top</td><td>Pointer to the first row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_mid</td><td>Pointer to the second row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">in_low</td><td>Pointer to the third row of the input. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m0</td><td>First row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m1</td><td>Second row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">m2</td><td>Third row of the filter. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>Dilation, in elements across x. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>Input quantization offset. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00337">337</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> {</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">const</span> int32x4_t v_input_offset = vdupq_n_s32(input_offset);</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> uint8x8x3_t vtop =</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  vld1_u8(in_top),</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  vld1_u8(in_top + dilation_x),</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  vld1_u8(in_top + 2 * dilation_x)</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  };</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keyword">const</span> uint8x8x3_t vmid =</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  {</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  {</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  vld1_u8(in_mid),</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  vld1_u8(in_mid + dilation_x),</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  vld1_u8(in_mid + 2 * dilation_x)</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  }</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  };</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">const</span> uint8x8x3_t vlow =</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  vld1_u8(in_low),</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  vld1_u8(in_low + dilation_x),</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  vld1_u8(in_low + 2 * dilation_x)</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  }</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  };</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">const</span> int32x4x3_t vtop_s32 =</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  {</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[0])))), <span class="comment">//convert from uint8x8 to uint16x8, to uint16x4(lower or bottom half) to int16x4 to int32x4</span></div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[1])))),</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vtop.val[2])))),</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  }</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  };</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keyword">const</span> int32x4x3_t vmid_s32 =</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  {</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  {</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[0])))),</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[1])))),</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vmid.val[2])))),</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  };</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keyword">const</span> int32x4x3_t vlow_s32 =</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  {</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[0])))),</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[1])))),</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  vaddw_s16(v_input_offset, vreinterpret_s16_u16(vget_low_u16(vmovl_u8(vlow.val[2])))),</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  };</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  int32x4_t out = vmulq_s32(vtop_s32.val[0], m0.val[0]);</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  out = vmlaq_s32(out, vtop_s32.val[1], m0.val[1]);</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  out = vmlaq_s32(out, vtop_s32.val[2], m0.val[2]);</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  out = vmlaq_s32(out, vmid_s32.val[0], m1.val[0]);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  out = vmlaq_s32(out, vmid_s32.val[1], m1.val[1]);</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  out = vmlaq_s32(out, vmid_s32.val[2], m1.val[2]);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  out = vmlaq_s32(out, vlow_s32.val[0], m2.val[0]);</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  out = vmlaq_s32(out, vlow_s32.val[1], m2.val[1]);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  out = vmlaq_s32(out, vlow_s32.val[2], m2.val[2]);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a1ac67082e6f68cb7ed1939240fb6bdb5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1ac67082e6f68cb7ed1939240fb6bdb5">◆ </a></span>store_results() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void store_results </td> |
| <td>(</td> |
| <td class="paramtype">float * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Stores a float32x4x2_t array into a memory location. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">buffer</td><td>Pointer to the memory location where the values will be stored. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">values</td><td>Values that will be stored. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a id="aa9f26cd83047a111336033fb7466faf1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aa9f26cd83047a111336033fb7466faf1">◆ </a></span>store_results() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void arm_compute::detail::store_results </td> |
| <td>(</td> |
| <td class="paramtype">int32_t * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Stores a uint32_t array into a memory location. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">buffer</td><td>Pointer to the memory location where the values will be stored. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">values</td><td>Values that will be stored. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a id="ad61a01ef06cc3c41e4bb5006d9307687"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad61a01ef06cc3c41e4bb5006d9307687">◆ </a></span>store_results< 1 >() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">float * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00130">130</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  vst1q_f32(buffer, values.val[0]);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  vst1q_f32(buffer + 4, values.val[1]);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a143f43b1fb56a8d806145e95d4c3995e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a143f43b1fb56a8d806145e95d4c3995e">◆ </a></span>store_results< 1 >() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>< 1 > </td> |
| <td>(</td> |
| <td class="paramtype">int32_t * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00628">628</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> {</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  vst1q_s32(buffer, values.val[0]);</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  vst1q_s32(buffer + 4, values.val[1]);</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="abaf3037739c190361ad3f827d73440a1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#abaf3037739c190361ad3f827d73440a1">◆ </a></span>store_results< 2 >() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>< 2 > </td> |
| <td>(</td> |
| <td class="paramtype">float * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00137">137</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  vst1q_f32(buffer, values.val[0]);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="af63e34203346681c35b68fcca2026a06"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af63e34203346681c35b68fcca2026a06">◆ </a></span>store_results< 2 >() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>< 2 > </td> |
| <td>(</td> |
| <td class="paramtype">int32_t * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00635">635</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> {</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  vst1q_s32(buffer, values.val[0]);</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a208468ac4ffbfe19d7fb03402ca927f6"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a208468ac4ffbfe19d7fb03402ca927f6">◆ </a></span>store_results< 3 >() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">store_results</a>< 3 > </td> |
| <td>(</td> |
| <td class="paramtype">float * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const float32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml#l00143">143</a> of file <a class="el" href="_n_e_direct_convolution3x3_8h_source.xhtml">NEDirectConvolution3x3.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  vst1_f32(buffer, vget_low_f32(values.val[0]));</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> }</div></div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a991bde46f2841422fb98258127305050"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a991bde46f2841422fb98258127305050">◆ </a></span>store_results< 3 >() <span class="overload">[2/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void <a class="el" href="namespacearm__compute_1_1detail.xhtml#a1ac67082e6f68cb7ed1939240fb6bdb5">arm_compute::detail::store_results</a>< 3 > </td> |
| <td>(</td> |
| <td class="paramtype">int32_t * </td> |
| <td class="paramname"><em>buffer</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int32x4x2_t & </td> |
| <td class="paramname"><em>values</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml#l00641">641</a> of file <a class="el" href="_n_e_direct_convolution_detail_8h_source.xhtml">NEDirectConvolutionDetail.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00642"></a><span class="lineno"> 642</span> {</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  vst1_s32(buffer, vget_low_s32(values.val[0]));</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span> }</div></div><!-- fragment --> |
| </div> |
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