arm_compute v17.06
diff --git a/documentation/activation__layer_8cl.xhtml b/documentation/activation__layer_8cl.xhtml
index ff7ff34..915aea4 100644
--- a/documentation/activation__layer_8cl.xhtml
+++ b/documentation/activation__layer_8cl.xhtml
@@ -6,7 +6,7 @@
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-<title>ARM Compute Library: src/core/CL/cl_kernels/activation_layer.cl File Reference</title>
+<title>Compute Library: src/core/CL/cl_kernels/activation_layer.cl File Reference</title>
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<script type="text/javascript" src="jquery.js"></script>
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@@ -39,8 +39,8 @@
<tbody>
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<td style="padding-left: 0.5em;">
- <div id="projectname">ARM Compute Library
-  <span id="projectnumber">17.05</span>
+ <div id="projectname">Compute Library
+  <span id="projectnumber">v17.06</span>
</div>
</td>
</tr>
@@ -55,6 +55,7 @@
<div id="navrow1" class="tabs">
<ul class="tablist">
<li><a href="index.xhtml"><span>Main Page</span></a></li>
+ <li><a href="pages.xhtml"><span>Related Pages</span></a></li>
<li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
<li><a href="annotated.xhtml"><span>Data Structures</span></a></li>
<li class="current"><a href="files.xhtml"><span>Files</span></a></li>
@@ -124,12 +125,12 @@
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
-<tr class="memitem:af56e71195597e525c12f0d8969735e47"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="activation__layer_8cl.xhtml#af56e71195597e525c12f0d8969735e47">activation_layer</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_offset_first_element_in_bytes)</td></tr>
-<tr class="memdesc:af56e71195597e525c12f0d8969735e47"><td class="mdescLeft"> </td><td class="mdescRight">This performs an activation function floating point inputs. <a href="#af56e71195597e525c12f0d8969735e47">More...</a><br /></td></tr>
-<tr class="separator:af56e71195597e525c12f0d8969735e47"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a22355c125bcfe5bf82a7c5d4c422dc50"><td class="memItemLeft" align="right" valign="top">__kernel void </td><td class="memItemRight" valign="bottom"><a class="el" href="activation__layer_8cl.xhtml#a22355c125bcfe5bf82a7c5d4c422dc50">activation_layer</a> (__global uchar *input_ptr, uint input_stride_x, uint input_step_x, uint input_stride_y, uint input_step_y, uint input_stride_z, uint input_step_z, uint input_offset_first_element_in_bytes, __global uchar *output_ptr, uint output_stride_x, uint output_step_x, uint output_stride_y, uint output_step_y, uint output_stride_z, uint output_step_z, uint output_offset_first_element_in_bytes)</td></tr>
+<tr class="memdesc:a22355c125bcfe5bf82a7c5d4c422dc50"><td class="mdescLeft"> </td><td class="mdescRight">This performs an activation function floating point inputs. <a href="#a22355c125bcfe5bf82a7c5d4c422dc50">More...</a><br /></td></tr>
+<tr class="separator:a22355c125bcfe5bf82a7c5d4c422dc50"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<h2 class="groupheader">Function Documentation</h2>
-<a class="anchor" id="af56e71195597e525c12f0d8969735e47"></a>
+<a class="anchor" id="a22355c125bcfe5bf82a7c5d4c422dc50"></a>
<div class="memitem">
<div class="memproto">
<table class="memname">
@@ -167,6 +168,18 @@
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint </td>
+ <td class="paramname"><em>input_stride_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>input_step_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
<td class="paramname"><em>input_offset_first_element_in_bytes</em>, </td>
</tr>
<tr>
@@ -203,6 +216,18 @@
<td class="paramkey"></td>
<td></td>
<td class="paramtype">uint </td>
+ <td class="paramname"><em>output_stride_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
+ <td class="paramname"><em>output_step_z</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">uint </td>
<td class="paramname"><em>output_offset_first_element_in_bytes</em> </td>
</tr>
<tr>
@@ -228,26 +253,38 @@
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_x</td><td>input_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_stride_y</td><td>Stride of the source image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_step_y</td><td>input_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">input_step_z</td><td>input_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">input_offset_first_element_in_bytes</td><td>The offset of the first element in the source image </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output_ptr</td><td>Pointer to the destination image. Supported data types: F16, F32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_x</td><td>Stride of the destination image in X dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_x</td><td>output_stride_x * number of elements along X processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_stride_y</td><td>Stride of the destination image in Y dimension (in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_step_y</td><td>output_stride_y * number of elements along Y processed per workitem(in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_stride_z</td><td>Stride of the source tensor in Z dimension (in bytes) </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">output_step_z</td><td>output_stride_z * number of elements along Z processed per workitem(in bytes) </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output_offset_first_element_in_bytes</td><td>The offset of the first element in the destination image </td></tr>
</table>
</dd>
</dl>
-<p>Definition at line <a class="el" href="activation__layer_8cl_source.xhtml#l00046">46</a> of file <a class="el" href="activation__layer_8cl_source.xhtml">activation_layer.cl</a>.</p>
+<p>Definition at line <a class="el" href="activation__layer_8cl_source.xhtml#l00050">50</a> of file <a class="el" href="activation__layer_8cl_source.xhtml">activation_layer.cl</a>.</p>
-<p>References <a class="el" href="helpers_8h_source.xhtml#l00073">CONVERT_TO_IMAGE_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="helpers_8h_source.xhtml#l00097">Image::ptr</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p>
-<div class="fragment"><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>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="struct_image.xhtml">Image</a> input = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(input);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="struct_image.xhtml">Image</a> output = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(output);</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>  <span class="comment">// Load data</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  data = vload16(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)input.ptr);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#if defined LOGISTIC</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  data = 1 / (1 + exp(-data));</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#elif defined TANH</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  data = (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))A * tanh((<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">B</a> * data);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#elif defined RELU</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  data = max(0, data);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#elif defined BRELU</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  data = min((<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))A, max(0, data));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#elif defined SRELU</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  data = log(1 + exp(data));</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#elif defined ABS</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="preprocessor">#if defined TYPE_INT</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  data = abs(data);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  data = fabs(data);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor">#elif defined SQUARE</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  data = data * data;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor">#elif defined SQRT</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  data = sqrt(data);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#elif defined LINEAR</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  data = (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))A * data + (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))B;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor">#endif</span></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>  <span class="comment">// Store result</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  vstore16(data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> }</div><div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
+<p>References <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00905">arm_compute::test::fixed_point_arithmetic::detail::abs()</a>, <a class="el" href="helpers_8h_source.xhtml#l00079">CONVERT_TO_TENSOR3D_STRUCT</a>, <a class="el" href="convolution3x3_8cl_source.xhtml#l00027">DATA_TYPE</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00915">arm_compute::test::fixed_point_arithmetic::detail::exp()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00920">arm_compute::test::fixed_point_arithmetic::detail::log()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">arm_compute::test::fixed_point_arithmetic::detail::max()</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">arm_compute::test::fixed_point_arithmetic::detail::min()</a>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, <a class="el" href="tests_2validation_2_fixed_point_8h_source.xhtml#l00930">arm_compute::test::fixed_point_arithmetic::detail::tanh()</a>, and <a class="el" href="helpers_8h_source.xhtml#l00032">VEC_DATA_TYPE</a>.</p>
+
+<p>Referenced by <a class="el" href="_reference_8cpp_source.xhtml#l00331">Reference::compute_reference_activation_layer()</a>.</p>
+<div class="fragment"><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>  <span class="comment">// Get pixels pointer</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> input = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(input);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> output = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(output);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="comment">// Load data</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  data = vload16(0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)input.ptr);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// Perform activation</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#if defined LOGISTIC</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  data = 1 / (1 + <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aa4e01e9be9adcc40a69a4da48fa83a43">exp</a>(-data));</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#elif defined TANH</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  data = (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))A * <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a6854479935f66029852441b051e1a3e0">tanh</a>((<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))<a class="code" href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">B</a> * data);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#elif defined RELU</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  data = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(0, data);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#elif defined BRELU</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  data = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">min</a>((<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))A, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">max</a>(0, data));</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor">#elif defined SRELU</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  data = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8c8ce35c61b4f71cccec28d18161eaa1">log</a>(1 + <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aa4e01e9be9adcc40a69a4da48fa83a43">exp</a>(data));</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor">#elif defined ABS</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor">#if defined TYPE_INT</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  data = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">abs</a>(data);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  data = fabs(data);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#elif defined SQUARE</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  data = data * data;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor">#elif defined SQRT</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  data = sqrt(data);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="preprocessor">#elif defined LINEAR</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  data = (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))A * data + (<a class="code" href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 16))B;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor">#endif</span></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>  <span class="comment">// Store result</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  vstore16(data, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point< T > min(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00875">FixedPoint.h:875</a></div></div>
+<div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00079">helpers.h:79</a></div></div>
+<div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571"><div class="ttname"><a href="namespacearm__compute.xhtml#a1ce9b523fd4f3b5bbcadcd796183455aa9d5ed678fe57bcca610140957afab571">arm_compute::Channel::B</a></div><div class="ttdoc">Blue channel. </div></div>
-<div class="ttc" id="helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00073">helpers.h:73</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aa4e01e9be9adcc40a69a4da48fa83a43"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aa4e01e9be9adcc40a69a4da48fa83a43">arm_compute::test::fixed_point_arithmetic::detail::exp</a></div><div class="ttdeci">fixed_point< T > exp(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00915">FixedPoint.h:915</a></div></div>
+<div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00104">helpers.h:104</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a8c8ce35c61b4f71cccec28d18161eaa1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8c8ce35c61b4f71cccec28d18161eaa1">arm_compute::test::fixed_point_arithmetic::detail::log</a></div><div class="ttdeci">fixed_point< T > log(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00920">FixedPoint.h:920</a></div></div>
<div class="ttc" id="helpers_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="helpers_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00032">helpers.h:32</a></div></div>
-<div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00095">helpers.h:95</a></div></div>
-<div class="ttc" id="struct_image_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00097">helpers.h:97</a></div></div>
+<div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00106">helpers.h:106</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point< T > max(fixed_point< T > x, fixed_point< T > y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00880">FixedPoint.h:880</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a6854479935f66029852441b051e1a3e0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a6854479935f66029852441b051e1a3e0">arm_compute::test::fixed_point_arithmetic::detail::tanh</a></div><div class="ttdeci">fixed_point< T > tanh(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00930">FixedPoint.h:930</a></div></div>
+<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ae115fc750a92fb6a5e094998b56fcc56"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ae115fc750a92fb6a5e094998b56fcc56">arm_compute::test::fixed_point_arithmetic::detail::abs</a></div><div class="ttdeci">fixed_point< T > abs(fixed_point< T > x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00905">FixedPoint.h:905</a></div></div>
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@@ -257,7 +294,7 @@
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<li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_aebb8dcc11953d78e620bbef0b9e2183.xhtml">core</a></li><li class="navelem"><a class="el" href="dir_8c278f79c760e5c5fbd911f9870614c1.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_25885286e9dad4fa105b7b25a8031bbf.xhtml">cl_kernels</a></li><li class="navelem"><a class="el" href="activation__layer_8cl.xhtml">activation_layer.cl</a></li>
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