arm_compute v17.05
[platform/upstream/armcl.git] / documentation / convolution__layer_8cl.xhtml
index 089dcf8..d2d3b3f 100644 (file)
@@ -40,7 +40,7 @@
  <tr style="height: 56px;">
   <td style="padding-left: 0.5em;">
    <div id="projectname">ARM Compute Library
-   &#160;<span id="projectnumber">17.04</span>
+   &#160;<span id="projectnumber">17.05</span>
    </div>
   </td>
  </tr>
@@ -263,10 +263,10 @@ Functions</h2></td></tr>
   </dd>
 </dl>
 
-<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00175">175</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
+<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00170">170</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
 
 <p>References <a class="el" href="helpers_8h_source.xhtml#l00073">CONVERT_TO_IMAGE_STRUCT</a>, <a class="el" href="helpers_8h_source.xhtml#l00083">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</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>, <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00108">Tensor3D::stride_x</a>, <a class="el" href="helpers_8h_source.xhtml#l00109">Tensor3D::stride_y</a>, and <a class="el" href="helpers_8h_source.xhtml#l00110">Tensor3D::stride_z</a>.</p>
-<div class="fragment"><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;{</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    src = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(dst);</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keywordtype">int</span>      idx                         = get_global_id(0) * dst.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a> + (get_global_id(1) / width) * dst.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + (get_global_id(1) % width) * dst.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>;</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    __global uchar *tmp_out_ptr          = dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;}</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="fragment"><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;{</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    src = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(dst);</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keywordtype">int</span>      idx                         = get_global_id(0) * dst.<a class="code" href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">stride_z</a> + (get_global_id(1) / width) * dst.<a class="code" href="struct_tensor3_d.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a> + (get_global_id(1) % width) * dst.<a class="code" href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    __global uchar *tmp_out_ptr          = dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>));</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;}</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="struct_tensor3_d_xhtml_ad5ff7a2b2bd0eec50fe09c254b127d1c"><div class="ttname"><a href="struct_tensor3_d.xhtml#ad5ff7a2b2bd0eec50fe09c254b127d1c">Tensor3D::stride_z</a></div><div class="ttdeci">int stride_z</div><div class="ttdoc">Stride of the image in Z dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00110">helpers.h:110</a></div></div>
 <div class="ttc" id="struct_tensor3_d_xhtml_ae01febbfd0689ef709f3ff6fdd2abc7e"><div class="ttname"><a href="struct_tensor3_d.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">Tensor3D::stride_x</a></div><div class="ttdeci">int stride_x</div><div class="ttdoc">Stride of the image in X dimension (in bytes) </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00108">helpers.h:108</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>
@@ -444,7 +444,7 @@ In case biases will be added to the convolution -DHAS_BIAS has to be passed to a
 <p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00105">105</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
 
 <p>References <a class="el" href="helpers_8h_source.xhtml#l00076">CONVERT_TO_IMAGE_STRUCT_NO_STEP</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="helpers_8h_source.xhtml#l00097">Image::ptr</a>, <a class="el" href="helpers_8h_source.xhtml#l00099">Image::stride_x</a>, <a class="el" href="helpers_8h_source.xhtml#l00100">Image::stride_y</a>, and <a class="el" href="helpers_8h_source.xhtml#l00213">tensor3D_offset()</a>.</p>
-<div class="fragment"><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;{</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    dst = <a class="code" href="helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>(dst);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="comment">// Kernel radius</span></div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keywordtype">int</span> KH = kernel_size &gt;&gt; 1;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <span class="comment">// Determine output index</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    uint     idx                = (get_global_id(1) * width + get_global_id(0)) * dst.<a class="code" href="struct_image.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a>;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    __global uchar *tmp_out_ptr = dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="comment">// Determine current input index</span></div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> wi = get_global_id(0) * strides.x - paddings.x;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> hi = get_global_id(1) * strides.y - paddings.y;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <span class="comment">// Linearize convolution elements</span></div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> d = 0; d &lt; kernel_depth; ++d)</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    {</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;        <span class="keywordtype">int</span> cur_h = hi;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = -KH; h &lt;= KH; ++h, ++cur_h)</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        {</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;            <span class="keywordtype">int</span> cur_w = wi;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> w = -KH; w &lt;= KH; ++w, ++cur_w)</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;            {</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                <span class="keywordflow">if</span>(((cur_w &lt; 0) || (cur_w &gt;= input_dims.x)) || ((cur_h &lt; 0) || (cur_h &gt;= input_dims.y)))</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                {</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = 0;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;                }</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;                <span class="keywordflow">else</span></div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;                {</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;                    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, w, h, d)));</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                }</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                tmp_out_ptr += dst.<a class="code" href="struct_image.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;            }</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        }</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    }</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)(1);</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;}</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="fragment"><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;{</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <a class="code" href="struct_image.xhtml">Image</a>    dst = <a class="code" href="helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a>(dst);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="comment">// Determine output index</span></div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    uint     idx               = (get_global_id(1) * width + get_global_id(0)) * dst.<a class="code" href="struct_image.xhtml#a4f0b90c9ecd6e57ceb3f37332fefe8f1">stride_y</a>;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    __global uchar *output_ptr = dst.<a class="code" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + idx;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    <span class="comment">// Determine current input index</span></div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> top_left_x = get_global_id(0) * strides.x - paddings.x;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span> top_left_y = get_global_id(1) * strides.y - paddings.y;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <span class="comment">// Linearize convolution elements</span></div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> d = 0; d &lt; kernel_depth; ++d)</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    {</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = top_left_y, y_e = top_left_y + kernel_size; y &lt; y_e; ++y)</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        {</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = top_left_x, x_e = top_left_x + kernel_size; x &lt; x_e; ++x, output_ptr += dst.<a class="code" href="struct_image.xhtml#ae01febbfd0689ef709f3ff6fdd2abc7e">stride_x</a>)</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;            {</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;                <span class="keywordflow">if</span>(x &lt; 0 || x &gt;= input_dims.x || y &lt; 0 || y &gt;= input_dims.y)</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;                {</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output_ptr) = 0;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                }</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                <span class="keywordflow">else</span></div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                {</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&amp;src, x, y, d)));</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                }</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;            }</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;        }</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    }</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)output_ptr) = 1;</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;}</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="helpers_8h_xhtml_a4334a4a76f8e9628c0fb9e1acf616e2a"><div class="ttname"><a href="helpers_8h.xhtml#a4334a4a76f8e9628c0fb9e1acf616e2a">CONVERT_TO_IMAGE_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00076">helpers.h:76</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>
@@ -576,10 +576,10 @@ In case biases will be added in late stage, -DHAS_BIAS has to be passed to appen
   </dd>
 </dl>
 
-<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00208">208</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
+<p>Definition at line <a class="el" href="convolution__layer_8cl_source.xhtml#l00203">203</a> of file <a class="el" href="convolution__layer_8cl_source.xhtml">convolution_layer.cl</a>.</p>
 
 <p>References <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>, and <a class="el" href="helpers_8h_source.xhtml#l00106">Tensor3D::ptr</a>.</p>
-<div class="fragment"><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;{</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <span class="keyword">const</span> uint image_size = width * height;</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    __global uchar *tmp_out_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * width + get_global_id(2) * image_size) * dst_stride_x;</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.ptr);</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    <span class="comment">// If it is the last thread in the 3 dimensional workgroup</span></div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <span class="keywordflow">if</span>(get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1))</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    {</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;        tmp_out_ptr += dst_stride_x;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;        *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)1;</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    }</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;}</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="fragment"><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;{</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> src = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(src);</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <span class="keyword">const</span> uint image_size = width * height;</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    __global uchar *tmp_out_ptr = dst_ptr + dst_offset_first_element_in_bytes + (get_global_id(0) + get_global_id(1) * width + get_global_id(2) * image_size) * dst_stride_x;</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src.ptr);</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;<span class="preprocessor">#if defined HAS_BIAS</span></div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    <span class="comment">// If it is the last thread in the 3 dimensional workgroup</span></div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="keywordflow">if</span>(get_global_id(0) == (get_global_size(0) - 1) &amp;&amp; get_global_id(1) == (get_global_size(1) - 1) &amp;&amp; get_global_id(2) == (get_global_size(2) - 1))</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    {</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;        tmp_out_ptr += dst_stride_x;</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;        *((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)tmp_out_ptr) = (<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>)1;</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    }</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;}</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="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>
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@@ -775,7 +775,7 @@ In case biases will be added in late stage, -DHAS_BIAS has to be passed to appen
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