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<title>Compute Library: CLGEMMLowpOffsetContributionKernel Class Reference</title>
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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-static-methods">Static Public Member Functions</a> </div>
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<div class="title">CLGEMMLowpOffsetContributionKernel Class Reference</div> </div>
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<p>OpenCL kernel used to add the offset contribution after <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">CLGEMMLowpMatrixMultiplyKernel</a>.
<a href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#details">More...</a></p>
<p><code>#include &lt;<a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8h_source.xhtml">CLGEMMLowpOffsetContributionKernel.h</a>&gt;</code></p>
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Collaboration diagram for CLGEMMLowpOffsetContributionKernel:</div>
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<div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel__coll__graph.svg" width="238" height="202"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:af9118245ab756bce27f29a5869b8e824"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#af9118245ab756bce27f29a5869b8e824">CLGEMMLowpOffsetContributionKernel</a> ()</td></tr>
<tr class="memdesc:af9118245ab756bce27f29a5869b8e824"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="#af9118245ab756bce27f29a5869b8e824">More...</a><br /></td></tr>
<tr class="separator:af9118245ab756bce27f29a5869b8e824"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7447eaf5064d966d8c92b4cdc1e9e129"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a7447eaf5064d966d8c92b4cdc1e9e129">CLGEMMLowpOffsetContributionKernel</a> (const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a7447eaf5064d966d8c92b4cdc1e9e129"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a7447eaf5064d966d8c92b4cdc1e9e129">More...</a><br /></td></tr>
<tr class="separator:a7447eaf5064d966d8c92b4cdc1e9e129"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a390552e0764d82400a910a18f3125299"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a390552e0764d82400a910a18f3125299">operator=</a> (const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;)=delete</td></tr>
<tr class="memdesc:a390552e0764d82400a910a18f3125299"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers) <a href="#a390552e0764d82400a910a18f3125299">More...</a><br /></td></tr>
<tr class="separator:a390552e0764d82400a910a18f3125299"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a72ea70be863cd3f4f4239df7e8c37bcb"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a72ea70be863cd3f4f4239df7e8c37bcb">CLGEMMLowpOffsetContributionKernel</a> (<a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:a72ea70be863cd3f4f4239df7e8c37bcb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a72ea70be863cd3f4f4239df7e8c37bcb">More...</a><br /></td></tr>
<tr class="separator:a72ea70be863cd3f4f4239df7e8c37bcb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab2da8b158ac7059e84216ccdd38f2b20"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#ab2da8b158ac7059e84216ccdd38f2b20">operator=</a> (<a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&amp;)=default</td></tr>
<tr class="memdesc:ab2da8b158ac7059e84216ccdd38f2b20"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved. <a href="#ab2da8b158ac7059e84216ccdd38f2b20">More...</a><br /></td></tr>
<tr class="separator:ab2da8b158ac7059e84216ccdd38f2b20"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a094cc43211df267051139e766f002d77"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a094cc43211df267051139e766f002d77">configure</a> (<a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *mm_result, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *vector_sum_col, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *vector_sum_row, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *bias, int32_t k, int32_t a_offset, int32_t b_offset)</td></tr>
<tr class="memdesc:a094cc43211df267051139e766f002d77"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialise the kernel's input and output. <a href="#a094cc43211df267051139e766f002d77">More...</a><br /></td></tr>
<tr class="separator:a094cc43211df267051139e766f002d77"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a493987e85723a8000eb26d1f00e2ad0e"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">run</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, cl::CommandQueue &amp;queue) override</td></tr>
<tr class="memdesc:a493987e85723a8000eb26d1f00e2ad0e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. <a href="#a493987e85723a8000eb26d1f00e2ad0e">More...</a><br /></td></tr>
<tr class="separator:a493987e85723a8000eb26d1f00e2ad0e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_c_l_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_c_l_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></td></tr>
<tr class="memitem:a6b10e96ce90bf901d17def86b874b019 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6b10e96ce90bf901d17def86b874b019">ICLKernel</a> ()</td></tr>
<tr class="memdesc:a6b10e96ce90bf901d17def86b874b019 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6b10e96ce90bf901d17def86b874b019">More...</a><br /></td></tr>
<tr class="separator:a6b10e96ce90bf901d17def86b874b019 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae5121015ab09ece4d470f50c7ffe198e inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">cl::Kernel &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e">kernel</a> ()</td></tr>
<tr class="memdesc:ae5121015ab09ece4d470f50c7ffe198e inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a reference to the OpenCL kernel of this object. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ae5121015ab09ece4d470f50c7ffe198e">More...</a><br /></td></tr>
<tr class="separator:ae5121015ab09ece4d470f50c7ffe198e inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">add_1D_array_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D array's parameters to the object's kernel's arguments starting from the index idx. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a9331d385192a50adf74d3af40ce0fa20">More...</a><br /></td></tr>
<tr class="separator:a9331d385192a50adf74d3af40ce0fa20 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a479e7043e65dc87de35d374e108510f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">add_1D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a479e7043e65dc87de35d374e108510f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">More...</a><br /></td></tr>
<tr class="separator:a479e7043e65dc87de35d374e108510f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a25965a58d98e44856da286925792a2f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a25965a58d98e44856da286925792a2f7">add_1D_tensor_argument_if</a> (bool cond, unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a25965a58d98e44856da286925792a2f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx if the condition is true. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a25965a58d98e44856da286925792a2f7">More...</a><br /></td></tr>
<tr class="separator:a25965a58d98e44856da286925792a2f7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac74dad3e61f79334f5e73f3c3ac603cb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">add_2D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:ac74dad3e61f79334f5e73f3c3ac603cb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">More...</a><br /></td></tr>
<tr class="separator:ac74dad3e61f79334f5e73f3c3ac603cb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2ada6044648832c64532588f75303b44 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2ada6044648832c64532588f75303b44">add_2D_tensor_argument_if</a> (bool cond, unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a2ada6044648832c64532588f75303b44 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx if the condition is true. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2ada6044648832c64532588f75303b44">More...</a><br /></td></tr>
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<tr class="memitem:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a28f5847162f352444c6ac1825d0e99c7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">More...</a><br /></td></tr>
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<tr class="memitem:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">add_4D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a33e09c946b338fbfc780a9d1c66e68ad inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed 4D tensor's parameters to the object's kernel's arguments starting from the index idx. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a33e09c946b338fbfc780a9d1c66e68ad">More...</a><br /></td></tr>
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<tr class="memitem:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">add_argument</a> (unsigned int &amp;idx, T value)</td></tr>
<tr class="memdesc:a50f427a1d9419800972b9e03c4034311 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed parameters to the object's kernel's arguments starting from the index idx. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">More...</a><br /></td></tr>
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<tr class="memitem:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad356b88c8f61267d593d9ed99835bde9">set_lws_hint</a> (const cl::NDRange &amp;<a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">lws_hint</a>)</td></tr>
<tr class="memdesc:ad356b88c8f61267d593d9ed99835bde9 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the Local-Workgroup-Size hint. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad356b88c8f61267d593d9ed99835bde9">More...</a><br /></td></tr>
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<tr class="memitem:ab9f813c25ed75ea7b7ac2fa3926a8f55 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">cl::NDRange&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">lws_hint</a> () const</td></tr>
<tr class="memdesc:ab9f813c25ed75ea7b7ac2fa3926a8f55 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the Local-Workgroup-Size hint. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">More...</a><br /></td></tr>
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<tr class="memitem:a8f7f6ab59fc0e601d750b83e75a398eb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">const std::string &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb">config_id</a> () const</td></tr>
<tr class="memdesc:a8f7f6ab59fc0e601d750b83e75a398eb inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the configuration ID. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a8f7f6ab59fc0e601d750b83e75a398eb">More...</a><br /></td></tr>
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<tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">set_target</a> (<a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> target)</td></tr>
<tr class="memdesc:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr>
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<tr class="memitem:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a57e5f498fcbfc25c28b8496dfa3fc33c">set_target</a> (cl::Device &amp;device)</td></tr>
<tr class="memdesc:a57e5f498fcbfc25c28b8496dfa3fc33c inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture according to the CL device. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a57e5f498fcbfc25c28b8496dfa3fc33c">More...</a><br /></td></tr>
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<tr class="memitem:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">get_target</a> () const</td></tr>
<tr class="memdesc:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the targeted GPU architecture. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">More...</a><br /></td></tr>
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<tr class="memitem:abca336f832d730e8494049bd714df60a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">get_max_workgroup_size</a> ()</td></tr>
<tr class="memdesc:abca336f832d730e8494049bd714df60a inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the maximum workgroup size for the device the <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml" title="CLKernelLibrary class.">CLKernelLibrary</a> uses. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#abca336f832d730e8494049bd714df60a">More...</a><br /></td></tr>
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<tr class="memitem:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;typename T , unsigned int dimension_size&gt; </td></tr>
<tr class="memitem:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">add_array_argument</a> (unsigned &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_array.xhtml">ICLArray</a>&lt; T &gt; *array, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;strides, unsigned int num_dimensions, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a2d7c6b5f3332604ad6a637457f65c342 inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Add the passed array's parameters to the object's kernel's arguments starting from the index idx. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2d7c6b5f3332604ad6a637457f65c342">More...</a><br /></td></tr>
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<tr class="memitem:aa0191633c258a30cc27e35b99b663aac inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplParams" colspan="2">template&lt;unsigned int dimension_size&gt; </td></tr>
<tr class="memitem:aa0191633c258a30cc27e35b99b663aac inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#aa0191633c258a30cc27e35b99b663aac">add_tensor_argument</a> (unsigned &amp;idx, const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *tensor, const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="separator:aa0191633c258a30cc27e35b99b663aac inherit pub_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_classarm__compute_1_1_i_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_kernel.xhtml">IKernel</a></td></tr>
<tr class="memitem:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">IKernel</a> ()</td></tr>
<tr class="memdesc:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a7250cb8cbaa4104a93a2d77155085507">More...</a><br /></td></tr>
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<tr class="memitem:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">~IKernel</a> ()=default</td></tr>
<tr class="memdesc:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destructor. <a href="classarm__compute_1_1_i_kernel.xhtml#a341b60d15a5e12a5b8f3825194dd3b12">More...</a><br /></td></tr>
<tr class="separator:a341b60d15a5e12a5b8f3825194dd3b12 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">is_parallelisable</a> () const</td></tr>
<tr class="memdesc:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Indicates whether or not the kernel is parallelisable. <a href="classarm__compute_1_1_i_kernel.xhtml#a0466ee6ce6552c87595f0e88e73eeb1b">More...</a><br /></td></tr>
<tr class="separator:a0466ee6ce6552c87595f0e88e73eeb1b inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">virtual <a class="el" href="structarm__compute_1_1_border_size.xhtml">BorderSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">border_size</a> () const</td></tr>
<tr class="memdesc:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The size of the border for that kernel. <a href="classarm__compute_1_1_i_kernel.xhtml#a4b3a97ba5dded504a2f2261c078493dd">More...</a><br /></td></tr>
<tr class="separator:a4b3a97ba5dded504a2f2261c078493dd inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a> () const</td></tr>
<tr class="memdesc:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">The maximum window the kernel can be executed on. <a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">More...</a><br /></td></tr>
<tr class="separator:ad34a46f53686c12a5c5e717cc9617fb6 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</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:a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarm__compute_1_1_status.xhtml">Status</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml#a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *mm_result, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *vector_sum_col, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *vector_sum_row, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *bias, int32_t a_offset, int32_t b_offset)</td></tr>
<tr class="memdesc:a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2"><td class="mdescLeft">&#160;</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_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a>. <a href="#a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2">More...</a><br /></td></tr>
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<tr class="inherit_header pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarm__compute_1_1_i_c_l_kernel')"><img src="closed.png" alt="-"/>&#160;Static Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></td></tr>
<tr class="memitem:a278f0e6c68ca17e71f4c4ff82f360aa0 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a278f0e6c68ca17e71f4c4ff82f360aa0">num_arguments_per_1D_array</a> ()</td></tr>
<tr class="memdesc:a278f0e6c68ca17e71f4c4ff82f360aa0 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 1D array object. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a278f0e6c68ca17e71f4c4ff82f360aa0">More...</a><br /></td></tr>
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<tr class="memitem:a43b6c5e4b57069c5f61e96dff24c212d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a43b6c5e4b57069c5f61e96dff24c212d">num_arguments_per_1D_tensor</a> ()</td></tr>
<tr class="memdesc:a43b6c5e4b57069c5f61e96dff24c212d inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 1D tensor object. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a43b6c5e4b57069c5f61e96dff24c212d">More...</a><br /></td></tr>
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<tr class="memitem:a45601e0d46621a5b6f2e417d60e5c800 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">num_arguments_per_2D_tensor</a> ()</td></tr>
<tr class="memdesc:a45601e0d46621a5b6f2e417d60e5c800 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 2D tensor object. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a45601e0d46621a5b6f2e417d60e5c800">More...</a><br /></td></tr>
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<tr class="memitem:a6c9c1e7a7d96743375ca40847f0f12e2 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">num_arguments_per_3D_tensor</a> ()</td></tr>
<tr class="memdesc:a6c9c1e7a7d96743375ca40847f0f12e2 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 3D tensor object. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c9c1e7a7d96743375ca40847f0f12e2">More...</a><br /></td></tr>
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<tr class="memitem:a184fdf37587a9314cf12623accea6c73 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static constexpr unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73">num_arguments_per_4D_tensor</a> ()</td></tr>
<tr class="memdesc:a184fdf37587a9314cf12623accea6c73 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the number of arguments enqueued per 4D tensor object. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a184fdf37587a9314cf12623accea6c73">More...</a><br /></td></tr>
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<tr class="memitem:a6c01790e4e3f22f70f69002f0cb1b913 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="memItemLeft" align="right" valign="top">static cl::NDRange&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c01790e4e3f22f70f69002f0cb1b913">gws_from_window</a> (const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;<a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>)</td></tr>
<tr class="memdesc:a6c01790e4e3f22f70f69002f0cb1b913 inherit pub_static_methods_classarm__compute_1_1_i_c_l_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the global work size given an execution window. <a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a6c01790e4e3f22f70f69002f0cb1b913">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p>OpenCL kernel used to add the offset contribution after <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">CLGEMMLowpMatrixMultiplyKernel</a>. </p>
<p>The computation is performed in-place</p>
<p>This kernel takes a final int32 accumulator value (the output of <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">CLGEMMLowpMatrixMultiplyKernel</a>), and adds to it the offset contribution of matrix A and matrix B in-place.</p>
<p>The final result is:</p>
<p>mm_result[i][k] = mm_result[i][k] + (vector_sum_col[k] * a_offset) + (vector_sum_row[i] * b_offset) + (a_offset * b_offset * k) </p>
<p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8h_source.xhtml#l00046">46</a> of file <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8h_source.xhtml">CLGEMMLowpOffsetContributionKernel.h</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#af9118245ab756bce27f29a5869b8e824">&#9670;&nbsp;</a></span>CLGEMMLowpOffsetContributionKernel() <span class="overload">[1/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> </td>
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<p>Constructor. </p>
<p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml#l00140">140</a> of file <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml">CLGEMMLowpOffsetContributionKernel.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; : _vector_sum_col(<span class="keyword">nullptr</span>), _vector_sum_row(<span class="keyword">nullptr</span>), _mm_result(<span class="keyword">nullptr</span>), _bias(<span class="keyword">nullptr</span>)</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><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a7447eaf5064d966d8c92b4cdc1e9e129">&#9670;&nbsp;</a></span>CLGEMMLowpOffsetContributionKernel() <span class="overload">[2/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&#160;</td>
<td class="paramname"></td><td>)</td>
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<p>Prevent instances of this class from being copied (As this class contains pointers) </p>
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<a id="a72ea70be863cd3f4f4239df7e8c37bcb"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a72ea70be863cd3f4f4239df7e8c37bcb">&#9670;&nbsp;</a></span>CLGEMMLowpOffsetContributionKernel() <span class="overload">[3/3]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&amp;&#160;</td>
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<p>Allow instances of this class to be moved. </p>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a094cc43211df267051139e766f002d77">&#9670;&nbsp;</a></span>configure()</h2>
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<td class="memname">void configure </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
<td class="paramname"><em>mm_result</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
<td class="paramname"><em>vector_sum_col</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
<td class="paramname"><em>vector_sum_row</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *&#160;</td>
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<td class="paramtype">int32_t&#160;</td>
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<td class="paramtype">int32_t&#160;</td>
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<td class="paramtype">int32_t&#160;</td>
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<p>Initialise the kernel's input and output. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in,out]</td><td class="paramname">mm_result</td><td>Input tensor containing the result of <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_matrix_multiply_kernel.xhtml">CLGEMMLowpMatrixMultiplyKernel</a>. Data type supported: S32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_col</td><td>Input row-vector of sums of all the entries in each column of matrix B. Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as <code>mm_result</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_row</td><td>Input row-vector of sums of all the entries in each row of matrix A. Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as <code>mm_result</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required. 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">k</td><td>Number of matrix A columns or Matrix B rows </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">a_offset</td><td>Offset to be added to each element of the matrix A. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">b_offset</td><td>Offset to be added to each element of the matrix B. </td></tr>
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<p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml#l00145">145</a> of file <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml">CLGEMMLowpOffsetContributionKernel.cpp</a>.</p>
<div class="fragment"><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; <span class="comment">// Perform validate step</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(mm_result);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(),</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; vector_sum_col != <span class="keyword">nullptr</span> ? vector_sum_col-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; vector_sum_row != <span class="keyword">nullptr</span> ? vector_sum_row-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <span class="keyword">nullptr</span> ? <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; a_offset, b_offset)); <span class="comment">// NOLINT</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; _vector_sum_col = vector_sum_col;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; _vector_sum_row = vector_sum_row;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; _mm_result = mm_result;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; _bias = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="comment">// Check if input is a 3D reinterpretation</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> reinterpret_as_3d = vector_sum_row != <span class="keyword">nullptr</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; &amp;&amp; mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">num_dimensions</a>() &gt; 1</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; &amp;&amp; mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#ac4a1050be02b20b3f791b9a483f3abe2">y</a>() != vector_sum_row-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">x</a>();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="comment">// Set the arguments to pass at compile time</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml">CLBuildOptions</a> build_opts;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; <span class="comment">// If a_offset == 0, vector_sum_col can be a nullptr</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keywordflow">if</span>(a_offset != 0)</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; {</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DA_OFFSET=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(a_offset));</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">add_option_if</a>(vector_sum_col-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>() &gt; 1, <span class="stringliteral">&quot;-DSUM_COL_HAS_BATCHES&quot;</span>);</div><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; <span class="comment">// If b_offset == 0, vector_sum_row can be a nullptr</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">add_option_if</a>(b_offset != 0, <span class="stringliteral">&quot;-DB_OFFSET=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(b_offset));</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">add_option</a>(<span class="stringliteral">&quot;-DK_OFFSET=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(a_offset * b_offset * k));</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">add_option_if</a>(reinterpret_as_3d, <span class="stringliteral">&quot;-DHEIGHT_INPUT3D=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1)));</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">add_option_if</a>(reinterpret_as_3d, <span class="stringliteral">&quot;-DDEPTH_INPUT3D=&quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2)));</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">add_option_if</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">&quot;-DADD_BIAS&quot;</span>);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; std::string <a class="code" href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a>(<span class="stringliteral">&quot;gemmlowp_offset_contribution&quot;</span>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="comment">// Create kernel</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; _kernel = static_cast&lt;cl::Kernel&gt;(<a class="code" href="classarm__compute_1_1_c_l_kernel_library.xhtml#acba005f5ce2c62cbf3f94d074d9007aa">CLKernelLibrary::get</a>().<a class="code" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">create_kernel</a>(<a class="code" href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a>, build_opts.<a class="code" href="classarm__compute_1_1_c_l_build_options.xhtml#ae3b08139a1e57323c5d7dd93f30496c8">options</a>()));</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keyword">auto</span> win_config = validate_and_configure_window(mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(),</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; vector_sum_col != <span class="keyword">nullptr</span> ? vector_sum_col-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; vector_sum_row != <span class="keyword">nullptr</span> ? vector_sum_row-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <span class="keyword">nullptr</span> ? <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>-&gt;<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">info</a>() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; a_offset, b_offset); <span class="comment">// NOLINT</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(win_config.first);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; ICLKernel::configure_internal(win_config.second);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; <span class="comment">// Set config_id for enabling LWS tuning</span></div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; _config_id = <a class="code" href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a> + <span class="stringliteral">&quot;_&quot;</span>;</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; _config_id += <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(0));</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; _config_id += <span class="stringliteral">&quot;_&quot;</span>;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; _config_id += <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(1));</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; _config_id += <span class="stringliteral">&quot;_&quot;</span>;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; _config_id += <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(mm_result-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-&gt;<a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(2));</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a1f4e725b8e1ea36b30e09dc08ae6961d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">arm_compute::ITensorInfo::num_dimensions</a></div><div class="ttdeci">virtual size_t num_dimensions() const =0</div><div class="ttdoc">The number of dimensions of the tensor (rank)</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_ad45f0c01a0713dfb6bd7232c7f396fc4"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#ad45f0c01a0713dfb6bd7232c7f396fc4">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor.cpp:41</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml_ae3b08139a1e57323c5d7dd93f30496c8"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml#ae3b08139a1e57323c5d7dd93f30496c8">arm_compute::CLBuildOptions::options</a></div><div class="ttdeci">const StringSet &amp; options() const</div><div class="ttdoc">Gets the current options list set.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00074">CLKernelLibrary.cpp:74</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_acc5dddee1cbe93a4eaf0a9f74ee96bb7"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">arm_compute::support::cpp11::to_string</a></div><div class="ttdeci">std::string to_string(T &amp;&amp;value)</div><div class="ttdoc">Convert integer and float values to string.</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00272">ToolchainSupport.h:272</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_kernel_library_xhtml_acba005f5ce2c62cbf3f94d074d9007aa"><div class="ttname"><a href="classarm__compute_1_1_c_l_kernel_library.xhtml#acba005f5ce2c62cbf3f94d074d9007aa">arm_compute::CLKernelLibrary::get</a></div><div class="ttdeci">static CLKernelLibrary &amp; get()</div><div class="ttdoc">Access the KernelLibrary singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l01072">CLKernelLibrary.cpp:1072</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00455">Error.h:455</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml_a3e2b80ff5463b7d2017de847f5c32a30"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml#a3e2b80ff5463b7d2017de847f5c32a30">arm_compute::CLBuildOptions::add_option</a></div><div class="ttdeci">void add_option(std::string option)</div><div class="ttdoc">Adds option to the existing build option list.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00043">CLKernelLibrary.cpp:43</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_aa87f8fc26981b0f3228a78c83b95b802"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">arm_compute::Dimensions::x</a></div><div class="ttdeci">T x() const</div><div class="ttdoc">Alias to access the size of the first dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00081">Dimensions.h:81</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape &amp; tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div>
<div class="ttc" id="_c_l_im2_col_kernel_8cpp_xhtml_a624a24e6d361fe7b8b8b2f6b375683a4"><div class="ttname"><a href="_c_l_im2_col_kernel_8cpp.xhtml#a624a24e6d361fe7b8b8b2f6b375683a4">kernel_name</a></div><div class="ttdeci">std::string kernel_name</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00052">CLIm2ColKernel.cpp:52</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml_a95b46e69297fad10b27a1baa000f92cc"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml#a95b46e69297fad10b27a1baa000f92cc">arm_compute::CLBuildOptions::add_option_if</a></div><div class="ttdeci">void add_option_if(bool cond, std::string option)</div><div class="ttdoc">Adds option if a given condition is true;.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8cpp_source.xhtml#l00048">CLKernelLibrary.cpp:48</a></div></div>
<div class="ttc" id="classarm__compute_1_1_c_l_build_options_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_build_options.xhtml">arm_compute::CLBuildOptions</a></div><div class="ttdoc">Build options.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_kernel_library_8h_source.xhtml#l00037">CLKernelLibrary.h:37</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_abc72c95941485d8a068fa38372308574"><div class="ttname"><a href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">arm_compute::create_kernel</a></div><div class="ttdeci">std::unique_ptr&lt; Kernel &gt; create_kernel()</div><div class="ttdoc">Helper function to create and return a unique_ptr pointed to a CL/GLES kernel object.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">Helpers.h:86</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a80a5f2d6e3a697c9aad893a3b4242615"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const</div><div class="ttdoc">Returns the effective dimensionality of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div>
<div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_ac4a1050be02b20b3f791b9a483f3abe2"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#ac4a1050be02b20b3f791b9a483f3abe2">arm_compute::Dimensions::y</a></div><div class="ttdeci">T y() const</div><div class="ttdoc">Alias to access the size of the second dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00086">Dimensions.h:86</a></div></div>
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<p class="reference">References <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00043">CLBuildOptions::add_option()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00048">CLBuildOptions::add_option_if()</a>, <a class="el" href="_validate_8h_source.xhtml#l00161">ARM_COMPUTE_ERROR_ON_NULLPTR</a>, <a class="el" href="_error_8h_source.xhtml#l00455">ARM_COMPUTE_ERROR_THROW_ON</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">arm_compute::test::validation::bias</a>, <a class="el" href="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">arm_compute::create_kernel()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo::dimension()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l01072">CLKernelLibrary::get()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_tensor_8cpp_source.xhtml#l00041">CLTensor::info()</a>, <a class="el" href="_c_l_im2_col_kernel_8cpp_source.xhtml#l00052">kernel_name</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions&lt; T &gt;::num_dimensions()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo::num_dimensions()</a>, <a class="el" href="_c_l_kernel_library_8cpp_source.xhtml#l00074">CLBuildOptions::options()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo::tensor_shape()</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00272">arm_compute::support::cpp11::to_string()</a>, <a class="el" href="_dimensions_8h_source.xhtml#l00081">Dimensions&lt; T &gt;::x()</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00086">Dimensions&lt; T &gt;::y()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8cpp_source.xhtml#l00083">CLGEMMLowpMatrixMultiplyCore::configure()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a390552e0764d82400a910a18f3125299">&#9670;&nbsp;</a></span>operator=() <span class="overload">[1/2]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a>&amp; operator= </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&#160;</td>
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<p>Prevent instances of this class from being copied (As this class contains pointers) </p>
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<h2 class="memtitle"><span class="permalink"><a href="#ab2da8b158ac7059e84216ccdd38f2b20">&#9670;&nbsp;</a></span>operator=() <span class="overload">[2/2]</span></h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a>&amp; operator= </td>
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<td class="paramtype"><a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a> &amp;&amp;&#160;</td>
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<p>Allow instances of this class to be moved. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a493987e85723a8000eb26d1f00e2ad0e">&#9670;&nbsp;</a></span>run()</h2>
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<td class="memname">void run </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
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<p>Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue. </p>
<dl class="section note"><dt>Note</dt><dd>The queue is <em>not</em> flushed by this method, and therefore the kernel will not have been executed by the time this method returns.</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">window</td><td>Region on which to execute the kernel. (Must be a valid region of the window returned by <a class="el" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6" title="The maximum window the kernel can be executed on.">window()</a>). </td></tr>
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<p>Implements <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#af6a174d47571f51f199ffc27ecc10f51">ICLKernel</a>.</p>
<p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml#l00219">219</a> of file <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml">CLGEMMLowpOffsetContributionKernel.cpp</a>.</p>
<div class="fragment"><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; <a class="code" href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>(<span class="keyword">this</span>);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; <a class="code" href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICLKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> collapsed = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">collapse_if_possible</a>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">ICLKernel::window</a>(), <a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a> = collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; <span class="comment">// Set window for vector_sum_col</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win_vector_sum_col = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; win_vector_sum_col.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; win_vector_sum_col.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="comment">// Set window for vector_sum_row</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> win_vector_sum_row = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; win_vector_sum_row.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; win_vector_sum_row.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; win_vector_sum_col.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 0, 0));</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> biases_slice = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; biases_slice.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">Window::DimY</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; biases_slice.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(<a class="code" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window::DimZ</a>, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(0, 1, 1));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; <span class="keywordflow">do</span></div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx = 0;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">add_3D_tensor_argument</a>(idx, _mm_result, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2ada6044648832c64532588f75303b44">add_2D_tensor_argument_if</a>((_vector_sum_col != <span class="keyword">nullptr</span>), idx, _vector_sum_col, win_vector_sum_col);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2ada6044648832c64532588f75303b44">add_2D_tensor_argument_if</a>((_vector_sum_row != <span class="keyword">nullptr</span>), idx, _vector_sum_row, win_vector_sum_row);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a25965a58d98e44856da286925792a2f7">add_1D_tensor_argument_if</a>((_bias != <span class="keyword">nullptr</span>), idx, _bias, biases_slice);</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; <a class="code" href="namespacearm__compute.xhtml#a6e51ab3789678d3e0b0b72178dd6c4c6">enqueue</a>(queue, *<span class="keyword">this</span>, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>, <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">lws_hint</a>());</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; }</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160; <span class="keywordflow">while</span>(collapsed.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>));</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160;}</div><div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a25965a58d98e44856da286925792a2f7"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a25965a58d98e44856da286925792a2f7">arm_compute::ICLKernel::add_1D_tensor_argument_if</a></div><div class="ttdeci">void add_1D_tensor_argument_if(bool cond, unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 1D tensor's parameters to the object's kernel's arguments starting from the index idx ...</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00121">ICLKernel.h:121</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window &amp; window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a2ada6044648832c64532588f75303b44"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a2ada6044648832c64532588f75303b44">arm_compute::ICLKernel::add_2D_tensor_argument_if</a></div><div class="ttdeci">void add_2D_tensor_argument_if(bool cond, unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 2D tensor's parameters to the object's kernel's arguments starting from the index idx ...</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00145">ICLKernel.h:145</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a6e51ab3789678d3e0b0b72178dd6c4c6"><div class="ttname"><a href="namespacearm__compute.xhtml#a6e51ab3789678d3e0b0b72178dd6c4c6">arm_compute::enqueue</a></div><div class="ttdeci">void enqueue(cl::CommandQueue &amp;queue, ICLKernel &amp;kernel, const Window &amp;window, const cl::NDRange &amp;lws_hint=CLKernelLibrary::get().default_ndrange(), bool use_dummy_work_items=false)</div><div class="ttdoc">Add the kernel to the command queue with the given window.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8cpp_source.xhtml#l00039">ICLKernel.cpp:39</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_ab9f813c25ed75ea7b7ac2fa3926a8f55"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#ab9f813c25ed75ea7b7ac2fa3926a8f55">arm_compute::ICLKernel::lws_hint</a></div><div class="ttdeci">cl::NDRange lws_hint() const</div><div class="ttdoc">Return the Local-Workgroup-Size hint.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00247">ICLKernel.h:247</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image's dimensions with a start, end and step.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00075">Window.h:75</a></div></div>
<div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml_a28f5847162f352444c6ac1825d0e99c7"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">arm_compute::ICLKernel::add_3D_tensor_argument</a></div><div class="ttdeci">void add_3D_tensor_argument(unsigned int &amp;idx, const ICLTensor *tensor, const Window &amp;window)</div><div class="ttdoc">Add the passed 3D tensor's parameters to the object's kernel's arguments starting from the index idx.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00158">ICLKernel.h:158</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_aa96e81276ee4f87ab386cd05a5539a7d"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">arm_compute::Window::DimX</a></div><div class="ttdeci">static constexpr size_t DimX</div><div class="ttdoc">Alias for dimension 0 also known as X dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00043">Window.h:43</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a663ce71e1992366180fcb85b0a874e2f"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a663ce71e1992366180fcb85b0a874e2f">arm_compute::Window::collapse_if_possible</a></div><div class="ttdeci">Window collapse_if_possible(const Window &amp;full_window, size_t first, size_t last, bool *has_collapsed=nullptr) const</div><div class="ttdoc">Collapse the dimensions between first and last if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00068">Window.inl:68</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_acd3d2bba51cb84d34dd7656ad2375a6e"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">arm_compute::Window::set</a></div><div class="ttdeci">void set(size_t dimension, const Dimension &amp;dim)</div><div class="ttdoc">Set the values of a given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00049">Window.inl:49</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_aac792e3a11bc73bafafc4f4284c7f215"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">arm_compute::Window::slide_window_slice_3D</a></div><div class="ttdeci">bool slide_window_slice_3D(Window &amp;slice) const</div><div class="ttdoc">Slide the passed 3D window slice.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00333">Window.h:333</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_ad2d402364fa822b0b7775081291eeca9"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#ad2d402364fa822b0b7775081291eeca9">arm_compute::Window::DimY</a></div><div class="ttdeci">static constexpr size_t DimY</div><div class="ttdoc">Alias for dimension 1 also known as Y dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00045">Window.h:45</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a893d17b56b9abc4423ce26e9a24ac5dc"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">arm_compute::Window::DimZ</a></div><div class="ttdeci">static constexpr size_t DimZ</div><div class="ttdoc">Alias for dimension 2 also known as Z dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00047">Window.h:47</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml_a30ca5bdbb60ee281d7f1ab34f7a4ee40"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">arm_compute::Window::first_slice_window_3D</a></div><div class="ttdeci">Window first_slice_window_3D() const</div><div class="ttdoc">First 3D slice of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00289">Window.h:289</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a6eb9ce82815fe429250189da7592ba75"><div class="ttname"><a href="_validate_8h.xhtml#a6eb9ce82815fe429250189da7592ba75">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(f, s)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00205">Validate.h:205</a></div></div>
<div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div>
<div class="ttc" id="_validate_8h_xhtml_a1b35b0d258183cf9ef36adf684d0b88c"><div class="ttname"><a href="_validate_8h.xhtml#a1b35b0d258183cf9ef36adf684d0b88c">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(k)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00941">Validate.h:941</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a548131b3d37da47a2e9d32111c88dfe1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">arm_compute::test::validation::reference::slice</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; slice(const SimpleTensor&lt; T &gt; &amp;src, Coordinates starts, Coordinates ends)</div><div class="ttdef"><b>Definition:</b> <a href="_slice_operations_8cpp_source.xhtml#l00038">SliceOperations.cpp:38</a></div></div>
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<p class="reference">References <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00121">ICLKernel::add_1D_tensor_argument_if()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00145">ICLKernel::add_2D_tensor_argument_if()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00158">ICLKernel::add_3D_tensor_argument()</a>, <a class="el" href="_validate_8h_source.xhtml#l00205">ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW</a>, <a class="el" href="_validate_8h_source.xhtml#l00941">ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL</a>, <a class="el" href="_window_8inl_source.xhtml#l00068">Window::collapse_if_possible()</a>, <a class="el" href="_window_8h_source.xhtml#l00043">Window::DimX</a>, <a class="el" href="_window_8h_source.xhtml#l00045">Window::DimY</a>, <a class="el" href="_window_8h_source.xhtml#l00047">Window::DimZ</a>, <a class="el" href="_i_c_l_kernel_8cpp_source.xhtml#l00039">arm_compute::enqueue()</a>, <a class="el" href="_window_8h_source.xhtml#l00289">Window::first_slice_window_3D()</a>, <a class="el" href="_i_c_l_kernel_8h_source.xhtml#l00247">ICLKernel::lws_hint()</a>, <a class="el" href="_window_8inl_source.xhtml#l00049">Window::set()</a>, <a class="el" href="_slice_operations_8cpp_source.xhtml#l00038">arm_compute::test::validation::reference::slice()</a>, <a class="el" href="_window_8h_source.xhtml#l00333">Window::slide_window_slice_3D()</a>, and <a class="el" href="_i_kernel_8cpp_source.xhtml#l00028">IKernel::window()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a0c8e9fe3b2d6411e9f75bfcfa8b8e7d2">&#9670;&nbsp;</a></span>validate()</h2>
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<td class="memname"><a class="el" href="classarm__compute_1_1_status.xhtml">Status</a> validate </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>mm_result</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>vector_sum_col</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>vector_sum_row</em>, </td>
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<td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
<td class="paramname"><em>bias</em>, </td>
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<td class="paramtype">int32_t&#160;</td>
<td class="paramname"><em>a_offset</em>, </td>
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<td class="paramtype">int32_t&#160;</td>
<td class="paramname"><em>b_offset</em>&#160;</td>
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<p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a>. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">mm_result</td><td>Input tensor containing the result of <a class="el" href="classarm__compute_1_1_c_l_g_e_m_m_lowp_offset_contribution_kernel.xhtml">CLGEMMLowpOffsetContributionKernel</a>. Data type supported: S32 </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_col</td><td>Input row-vector of sums of all the entries in each column of matrix B. Note: vector_sum_col can be a nullptr in case a_offset = 0. Data type supported: same as <code>mm_result</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">vector_sum_row</td><td>Input row-vector of sums of all the entries in each row of matrix A. Note: vector_sum_row can be a nullptr in case b_offset = 0. Data type supported: same as <code>mm_result</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>Biases tensor. Only shared biases supported and it can be a nullptr if the addition of biases is not required. 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">a_offset</td><td>Offset to be added to each element of the matrix A. </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">b_offset</td><td>Offset to be added to each element of the matrix B.</td></tr>
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<dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>
<p class="definition">Definition at line <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml#l00205">205</a> of file <a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml">CLGEMMLowpOffsetContributionKernel.cpp</a>.</p>
<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="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(mm_result, vector_sum_col, vector_sum_row, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, a_offset, b_offset));</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_and_configure_window(mm_result-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(),</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; vector_sum_col != <span class="keyword">nullptr</span> ? vector_sum_col-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; vector_sum_row != <span class="keyword">nullptr</span> ? vector_sum_row-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> != <span class="keyword">nullptr</span> ? <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>-&gt;clone().get() : <span class="keyword">nullptr</span>,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; a_offset, b_offset)</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; .first); <span class="comment">// NOLINT</span></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="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;}</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="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr&lt; T &gt; clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T.</div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</a></div></div>
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<p class="reference">References <a class="el" href="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">arm_compute::test::validation::bias</a>, and <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable&lt; T &gt;::clone()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_c_l_g_e_m_m_lowp_matrix_multiply_core_8cpp_source.xhtml#l00274">CLGEMMLowpMatrixMultiplyCore::validate()</a>.</p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>arm_compute/core/CL/kernels/<a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8h_source.xhtml">CLGEMMLowpOffsetContributionKernel.h</a></li>
<li>src/core/CL/kernels/<a class="el" href="_c_l_g_e_m_m_lowp_offset_contribution_kernel_8cpp_source.xhtml">CLGEMMLowpOffsetContributionKernel.cpp</a></li>
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