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<div id="projectname">Compute Library
-  <span id="projectnumber">18.03</span>
+  <span id="projectnumber">18.05</span>
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</td>
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<tr class="memitem:a7020ba58629fa294c854034bf377906f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a7020ba58629fa294c854034bf377906f">CLDirectConvolutionLayer</a> ()</td></tr>
<tr class="memdesc:a7020ba58629fa294c854034bf377906f"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#a7020ba58629fa294c854034bf377906f">More...</a><br /></td></tr>
<tr class="separator:a7020ba58629fa294c854034bf377906f"><td class="memSeparator" colspan="2"> </td></tr>
-<tr class="memitem:a03dcaca11a6078d95562aabadf02ccaf"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a03dcaca11a6078d95562aabadf02ccaf">configure</a> (<a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *weights, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *biases, <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info)</td></tr>
-<tr class="memdesc:a03dcaca11a6078d95562aabadf02ccaf"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output tensors. <a href="#a03dcaca11a6078d95562aabadf02ccaf">More...</a><br /></td></tr>
-<tr class="separator:a03dcaca11a6078d95562aabadf02ccaf"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a2e850fb98fe28b49a41a89832e78e87c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c">configure</a> (<a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *weights, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *biases, <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &act_info=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())</td></tr>
+<tr class="memdesc:a2e850fb98fe28b49a41a89832e78e87c"><td class="mdescLeft"> </td><td class="mdescRight">Set the input and output tensors. <a href="#a2e850fb98fe28b49a41a89832e78e87c">More...</a><br /></td></tr>
+<tr class="separator:a2e850fb98fe28b49a41a89832e78e87c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad1717410afd0be936c6213a63c8005fb"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a> () override</td></tr>
<tr class="memdesc:ad1717410afd0be936c6213a63c8005fb"><td class="mdescLeft"> </td><td class="mdescRight">Run the kernels contained in the function. <a href="#ad1717410afd0be936c6213a63c8005fb">More...</a><br /></td></tr>
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<tr class="memitem:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">~IFunction</a> ()=default</td></tr>
<tr class="memdesc:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Destructor. <a href="#ab921ecc3f3f6ae2b4bd61f3e1998d8c4">More...</a><br /></td></tr>
<tr class="separator:ab921ecc3f3f6ae2b4bd61f3e1998d8c4 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memItemLeft" align="right" valign="top">virtual void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26">prepare</a> ()</td></tr>
+<tr class="memdesc:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="mdescLeft"> </td><td class="mdescRight">Prepare the function for executing. <a href="#a820f7291c24155a2980512fae45aac26">More...</a><br /></td></tr>
+<tr class="separator:a820f7291c24155a2980512fae45aac26 inherit pub_methods_classarm__compute_1_1_i_function"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-methods"></a>
Static Public Member Functions</h2></td></tr>
-<tr class="memitem:a335bf64c1920fdae58bac90b420e688f"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a335bf64c1920fdae58bac90b420e688f">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info)</td></tr>
-<tr class="memdesc:a335bf64c1920fdae58bac90b420e688f"><td class="mdescLeft"> </td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>. <a href="#a335bf64c1920fdae58bac90b420e688f">More...</a><br /></td></tr>
-<tr class="separator:a335bf64c1920fdae58bac90b420e688f"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a747b1152c8aac51943bae4a3b4100025"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml#a747b1152c8aac51943bae4a3b4100025">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *weights, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &conv_info, const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &act_info=<a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>())</td></tr>
+<tr class="memdesc:a747b1152c8aac51943bae4a3b4100025"><td class="mdescLeft"> </td><td class="mdescRight">Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_l_direct_convolution_layer.xhtml">CLDirectConvolutionLayer</a>. <a href="#a747b1152c8aac51943bae4a3b4100025">More...</a><br /></td></tr>
+<tr class="separator:a747b1152c8aac51943bae4a3b4100025"><td class="memSeparator" colspan="2"> </td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>Basic function to execute direct convolution function: </p>
-<p>Definition at line <a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml#l0004
0">40</a> of file <a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml">CLDirectConvolutionLayer.h</a>.</p>
+<p>Definition at line <a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml#l0004
1">41</a> of file <a class="el" href="_c_l_direct_convolution_layer_8h_source.xhtml">CLDirectConvolutionLayer.h</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
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<h2 class="groupheader">Member Function Documentation</h2>
-<a class="anchor" id="a03dcaca11a6078d95562aabadf02ccaf"></a>
+<a class="anchor" id="a2e850fb98fe28b49a41a89832e78e87c"></a>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> & </td>
- <td class="paramname"><em>conv_info</em> </td>
+ <td class="paramname"><em>conv_info</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> & </td>
+ <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code> </td>
</tr>
<tr>
<td></td>
<tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Should match <code>input</code> data type, except for input of QASYMM8 type where biases should be of S32 type. </td></tr>
<tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation. </td></tr>
</table>
</dd>
</dl>
<li>All the kernels are enqueued on the queue associated with <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml" title="Provides global access to a CL context and command queue. ">CLScheduler</a>.</li>
<li>The queue is then flushed.</li>
</ul>
-<dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd></dl>
+<dl class="section note"><dt>Note</dt><dd>The function will not block until the kernels are executed. It is the user's responsibility to wait. </dd>
+<dd>
+Will call <a class="el" href="classarm__compute_1_1_i_function.xhtml#a820f7291c24155a2980512fae45aac26" title="Prepare the function for executing. ">prepare()</a> on first run if hasn't been done </dd></dl>
<p>Implements <a class="el" href="classarm__compute_1_1_i_function.xhtml#a18954417d3124a8095783ea13dc6d00b">IFunction</a>.</p>
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-<a class="anchor" id="a335bf64c1920fdae58bac90b420e688f"></a>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> & </td>
- <td class="paramname"><em>conv_info</em> </td>
+ <td class="paramname"><em>conv_info</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> & </td>
+ <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code> </td>
</tr>
<tr>
<td></td>
<tr><td class="paramdir">[in]</td><td class="paramname">weights</td><td>Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">biases</td><td>Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as <code>input</code>. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs. Data types supported: Same as <code>input</code>. </td></tr>
- <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>.</td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">conv_info</td><td>Contains padding and stride information described in <a class="el" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a>. </td></tr>
+ <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation.</td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
-<p>Referenced by <a class="el" href="validation_2_c_l_2_direct_convolution_layer_8cpp_source.xhtml#l00082">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
+<p>Referenced by <a class="el" href="validation_2_c_l_2_direct_convolution_layer_8cpp_source.xhtml#l00091">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
</div>
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projects / platform / upstream / armcl.git / blobdiff