documentation/classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml - platform/external/ComputeLibrary - Git at Google

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 <div class="header">
   <div class="summary">
 <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">GCBatchNormalizationLayerKernel Class Reference</div>  </div>
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 <p>Interface for the BatchNormalization layer kernel.
  <a href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#details">More...</a></p>

 <p><code>#include &lt;<a class="el" href="_g_c_batch_normalization_layer_kernel_8h_source.xhtml">GCBatchNormalizationLayerKernel.h</a>&gt;</code></p>
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 Collaboration diagram for GCBatchNormalizationLayerKernel:</div>
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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:abbbf878d788fb75b9af735fd238a7553"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#abbbf878d788fb75b9af735fd238a7553">GCBatchNormalizationLayerKernel</a> ()</td></tr>
 <tr class="memdesc:abbbf878d788fb75b9af735fd238a7553"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#abbbf878d788fb75b9af735fd238a7553">More...</a><br /></td></tr>
 <tr class="separator:abbbf878d788fb75b9af735fd238a7553"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ab311f67d1471ccd61ddcc6b6ec18e613"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#ab311f67d1471ccd61ddcc6b6ec18e613">GCBatchNormalizationLayerKernel</a> (const <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;)=delete</td></tr>
 <tr class="memdesc:ab311f67d1471ccd61ddcc6b6ec18e613"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#ab311f67d1471ccd61ddcc6b6ec18e613">More...</a><br /></td></tr>
 <tr class="separator:ab311f67d1471ccd61ddcc6b6ec18e613"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a83290f6748e18cbaa52313b345fcacd5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a83290f6748e18cbaa52313b345fcacd5">operator=</a> (const <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;)=delete</td></tr>
 <tr class="memdesc:a83290f6748e18cbaa52313b345fcacd5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Prevent instances of this class from being copied (As this class contains pointers)  <a href="#a83290f6748e18cbaa52313b345fcacd5">More...</a><br /></td></tr>
 <tr class="separator:a83290f6748e18cbaa52313b345fcacd5"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a68b23307940216b40aaf20a431815d96"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a68b23307940216b40aaf20a431815d96">GCBatchNormalizationLayerKernel</a> (<a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&amp;)=default</td></tr>
 <tr class="memdesc:a68b23307940216b40aaf20a431815d96"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default Move Constructor.  <a href="#a68b23307940216b40aaf20a431815d96">More...</a><br /></td></tr>
 <tr class="separator:a68b23307940216b40aaf20a431815d96"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aa89e50b4172bb1f0ab4712896f34e885"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#aa89e50b4172bb1f0ab4712896f34e885">operator=</a> (<a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&amp;)=default</td></tr>
 <tr class="memdesc:aa89e50b4172bb1f0ab4712896f34e885"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default move assignment operator.  <a href="#aa89e50b4172bb1f0ab4712896f34e885">More...</a><br /></td></tr>
 <tr class="separator:aa89e50b4172bb1f0ab4712896f34e885"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a7577a99c57d8dfaa4e017592ff87fb64"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a7577a99c57d8dfaa4e017592ff87fb64">~GCBatchNormalizationLayerKernel</a> ()=default</td></tr>
 <tr class="memdesc:a7577a99c57d8dfaa4e017592ff87fb64"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#a7577a99c57d8dfaa4e017592ff87fb64">More...</a><br /></td></tr>
 <tr class="separator:a7577a99c57d8dfaa4e017592ff87fb64"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a532d29716a4ea6315294f4d892ce34ce"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a532d29716a4ea6315294f4d892ce34ce">configure</a> (const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *input, <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *output, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *mean, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *var, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *beta=nullptr, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *gamma=nullptr, float epsilon=0.001f, ActivationLayerInfo act_info=ActivationLayerInfo())</td></tr>
 <tr class="memdesc:a532d29716a4ea6315294f4d892ce34ce"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the input and output tensors.  <a href="#a532d29716a4ea6315294f4d892ce34ce">More...</a><br /></td></tr>
 <tr class="separator:a532d29716a4ea6315294f4d892ce34ce"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a8fd12b95bdde3f93db96bc9b1598db69"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml#a8fd12b95bdde3f93db96bc9b1598db69">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>) override</td></tr>
 <tr class="memdesc:a8fd12b95bdde3f93db96bc9b1598db69"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enqueue the OpenGL ES shader to process the given window.  <a href="#a8fd12b95bdde3f93db96bc9b1598db69">More...</a><br /></td></tr>
 <tr class="separator:a8fd12b95bdde3f93db96bc9b1598db69"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_g_c_kernel"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_g_c_kernel')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml">IGCKernel</a></td></tr>
 <tr class="memitem:abd51b7f007e5846ae05efdaca32e876c inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abd51b7f007e5846ae05efdaca32e876c">IGCKernel</a> ()</td></tr>
 <tr class="memdesc:abd51b7f007e5846ae05efdaca32e876c inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#abd51b7f007e5846ae05efdaca32e876c">More...</a><br /></td></tr>
 <tr class="separator:abd51b7f007e5846ae05efdaca32e876c inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a3b8f9d088e013cfbb039fd0ebbe42589 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_g_c_kernel.xhtml">GCKernel</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a3b8f9d088e013cfbb039fd0ebbe42589">kernel</a> ()</td></tr>
 <tr class="memdesc:a3b8f9d088e013cfbb039fd0ebbe42589 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a reference to the GLES kernel of this object.  <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#a3b8f9d088e013cfbb039fd0ebbe42589">More...</a><br /></td></tr>
 <tr class="separator:a3b8f9d088e013cfbb039fd0ebbe42589 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ae7a1e979b3442bd2f7732b5f51d5dded inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">add_1D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, 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:ae7a1e979b3442bd2f7732b5f51d5dded inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">More...</a><br /></td></tr>
 <tr class="separator:ae7a1e979b3442bd2f7732b5f51d5dded inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a633d6a0cb573106e4d420b664cb29b66 inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">add_2D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, 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:a633d6a0cb573106e4d420b664cb29b66 inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#a633d6a0cb573106e4d420b664cb29b66">More...</a><br /></td></tr>
 <tr class="separator:a633d6a0cb573106e4d420b664cb29b66 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aa9ed9d806fc3364df21027387b9e735a inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">add_3D_tensor_argument</a> (unsigned int &amp;idx, const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *tensor, const unsigned int binding_point, 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:aa9ed9d806fc3364df21027387b9e735a inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">More...</a><br /></td></tr>
 <tr class="separator:aa9ed9d806fc3364df21027387b9e735a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a24938aee389d915b1cc481f11346b2f6 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a24938aee389d915b1cc481f11346b2f6">num_arguments_per_1D_tensor</a> () const</td></tr>
 <tr class="memdesc:a24938aee389d915b1cc481f11346b2f6 inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#a24938aee389d915b1cc481f11346b2f6">More...</a><br /></td></tr>
 <tr class="separator:a24938aee389d915b1cc481f11346b2f6 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a1cdff9e90a54e4ea673d10b2dcd7ec9f inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a1cdff9e90a54e4ea673d10b2dcd7ec9f">num_arguments_per_2D_tensor</a> () const</td></tr>
 <tr class="memdesc:a1cdff9e90a54e4ea673d10b2dcd7ec9f inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#a1cdff9e90a54e4ea673d10b2dcd7ec9f">More...</a><br /></td></tr>
 <tr class="separator:a1cdff9e90a54e4ea673d10b2dcd7ec9f inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:abb64cdefb07e7d0e4dc5722015cccc35 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abb64cdefb07e7d0e4dc5722015cccc35">num_arguments_per_3D_tensor</a> () const</td></tr>
 <tr class="memdesc:abb64cdefb07e7d0e4dc5722015cccc35 inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#abb64cdefb07e7d0e4dc5722015cccc35">More...</a><br /></td></tr>
 <tr class="separator:abb64cdefb07e7d0e4dc5722015cccc35 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#a3c6173aecfebc9030bf8a0bee0c0ced8">set_lws_hint</a> (<a class="el" href="classarm__compute_1_1gles_1_1_n_d_range.xhtml">gles::NDRange</a> &amp;lws_hint)</td></tr>
 <tr class="memdesc:a3c6173aecfebc9030bf8a0bee0c0ced8 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the Local-Workgroup-Size hint.  <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#a3c6173aecfebc9030bf8a0bee0c0ced8">More...</a><br /></td></tr>
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 <tr class="memitem:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_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_g_c_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the targeted GPU architecture.  <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#ad5ba9d34a3a855bf1dd2e36316ff550a">More...</a><br /></td></tr>
 <tr class="separator:ad5ba9d34a3a855bf1dd2e36316ff550a inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_g_c_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_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">get_target</a> () const</td></tr>
 <tr class="memdesc:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_g_c_kernel"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the targeted GPU architecture.  <a href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa550ff0352ff2388e02f7b0a41bf5fe7">More...</a><br /></td></tr>
 <tr class="separator:aa550ff0352ff2388e02f7b0a41bf5fe7 inherit pub_methods_classarm__compute_1_1_i_g_c_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>
 <tr class="separator:a7250cb8cbaa4104a93a2d77155085507 inherit pub_methods_classarm__compute_1_1_i_kernel"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <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:a7b183c349117a66b3f74138d5d86d634"><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_g_c_batch_normalization_layer_kernel.xhtml#a7b183c349117a66b3f74138d5d86d634">validate</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *mean, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *var, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *beta=nullptr, const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *gamma=nullptr, float epsilon=0.001f, ActivationLayerInfo act_info=ActivationLayerInfo())</td></tr>
 <tr class="memdesc:a7b183c349117a66b3f74138d5d86d634"><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_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a>.  <a href="#a7b183c349117a66b3f74138d5d86d634">More...</a><br /></td></tr>
 <tr class="separator:a7b183c349117a66b3f74138d5d86d634"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table>
 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 <div class="textblock"><p>Interface for the BatchNormalization layer kernel. </p>

 <p class="definition">Definition at line <a class="el" href="_g_c_batch_normalization_layer_kernel_8h_source.xhtml#l00035">35</a> of file <a class="el" href="_g_c_batch_normalization_layer_kernel_8h_source.xhtml">GCBatchNormalizationLayerKernel.h</a>.</p>
 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 <a id="abbbf878d788fb75b9af735fd238a7553"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#abbbf878d788fb75b9af735fd238a7553">&#9670;&nbsp;</a></span>GCBatchNormalizationLayerKernel() <span class="overload">[1/3]</span></h2>

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       <table class="memname">
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           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> </td>
           <td>(</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
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 </div><div class="memdoc">

 <p>Constructor. </p>

 <p class="definition">Definition at line <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml#l00134">134</a> of file <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml">GCBatchNormalizationLayerKernel.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;    : _input(<span class="keyword">nullptr</span>), _output(<span class="keyword">nullptr</span>), _mean(<span class="keyword">nullptr</span>), _var(<span class="keyword">nullptr</span>), _beta(<span class="keyword">nullptr</span>), _gamma(<span class="keyword">nullptr</span>), _epsilon(0.0f)</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;{</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;}</div></div><!-- fragment -->
 </div>
 </div>
 <a id="ab311f67d1471ccd61ddcc6b6ec18e613"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#ab311f67d1471ccd61ddcc6b6ec18e613">&#9670;&nbsp;</a></span>GCBatchNormalizationLayerKernel() <span class="overload">[2/3]</span></h2>

 <div class="memitem">
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   <tr>
   <td class="mlabels-left">
       <table class="memname">
         <tr>
           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&#160;</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
       </table>
   </td>
   <td class="mlabels-right">
 <span class="mlabels"><span class="mlabel">delete</span></span>  </td>
   </tr>
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 </div><div class="memdoc">

 <p>Prevent instances of this class from being copied (As this class contains pointers) </p>

 </div>
 </div>
 <a id="a68b23307940216b40aaf20a431815d96"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a68b23307940216b40aaf20a431815d96">&#9670;&nbsp;</a></span>GCBatchNormalizationLayerKernel() <span class="overload">[3/3]</span></h2>

 <div class="memitem">
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   <td class="mlabels-left">
       <table class="memname">
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           <td class="memname"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> </td>
           <td>(</td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&amp;&#160;</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
       </table>
   </td>
   <td class="mlabels-right">
 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
   </tr>
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 </div><div class="memdoc">

 <p>Default Move Constructor. </p>

 </div>
 </div>
 <a id="a7577a99c57d8dfaa4e017592ff87fb64"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a7577a99c57d8dfaa4e017592ff87fb64">&#9670;&nbsp;</a></span>~GCBatchNormalizationLayerKernel()</h2>

 <div class="memitem">
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           <td class="memname">~<a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> </td>
           <td>(</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
       </table>
   </td>
   <td class="mlabels-right">
 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
   </tr>
 </table>
 </div><div class="memdoc">

 <p>Default destructor. </p>

 </div>
 </div>
 <h2 class="groupheader">Member Function Documentation</h2>
 <a id="a532d29716a4ea6315294f4d892ce34ce"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a532d29716a4ea6315294f4d892ce34ce">&#9670;&nbsp;</a></span>configure()</h2>

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           <td class="memname">void configure </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
           <td class="paramname"><em>input</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
           <td class="paramname"><em>output</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
           <td class="paramname"><em>mean</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
           <td class="paramname"><em>var</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
           <td class="paramname"><em>beta</em> = <code>nullptr</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_g_c_tensor.xhtml">IGCTensor</a> *&#160;</td>
           <td class="paramname"><em>gamma</em> = <code>nullptr</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">float&#160;</td>
           <td class="paramname"><em>epsilon</em> = <code>0.001f</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
           <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
       </table>
 </div><div class="memdoc">

 <p>Set the input and output tensors. </p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor. 3 lower dimensions represent a single input with dimensions [width, height, FM]. The rest are optional and used for representing batches. Data types supported: F16/F32. </td></tr>
     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Destination tensor. Output will have the same number of dimensions as input. Data type supported: same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">mean</td><td>Mean values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">var</td><td>Variance values tensor. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>(Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">gamma</td><td>(Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(optional) Small value to avoid division with zero. </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported. </td></tr>
   </table>
   </dd>
 </dl>

 <p class="definition">Definition at line <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml#l00139">139</a> of file <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml">GCBatchNormalizationLayerKernel.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;{</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, mean, var);</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(validate_arguments(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info(), output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), mean-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), var-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(),</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                                                  (beta != <span class="keyword">nullptr</span>) ? beta-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>, (gamma != <span class="keyword">nullptr</span>) ? gamma-&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="l00146"></a><span class="lineno">  146</span>&#160;                                                  <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>));</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    _input   = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    _output  = output;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    _mean    = mean;</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    _var     = var;</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    _beta    = beta;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    _gamma   = gamma;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    _epsilon = <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>;</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;    <span class="comment">// Set build options</span></div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    std::set&lt;std::string&gt; build_opts;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    std::string           dt_name = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info()-&gt;data_type() == <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>) ? <span class="stringliteral">&quot;DATA_TYPE_FP32&quot;</span> : <span class="stringliteral">&quot;DATA_TYPE_FP16&quot;</span>;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    build_opts.emplace((<span class="stringliteral">&quot;#define &quot;</span> + dt_name));</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    build_opts.emplace((<span class="stringliteral">&quot;#define ESPILON &quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2">float_to_string_with_full_precision</a>(_epsilon)));</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    build_opts.emplace((<span class="stringliteral">&quot;#define LOCAL_SIZE_X &quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(1)));</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    build_opts.emplace((<span class="stringliteral">&quot;#define LOCAL_SIZE_Y &quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(1)));</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    build_opts.emplace((<span class="stringliteral">&quot;#define LOCAL_SIZE_Z &quot;</span> + <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#acc5dddee1cbe93a4eaf0a9f74ee96bb7">support::cpp11::to_string</a>(1)));</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keywordflow">if</span>(beta == <span class="keyword">nullptr</span>)</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;        build_opts.emplace(<span class="stringliteral">&quot;#define USE_DEFAULT_BETA&quot;</span>);</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    }</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="keywordflow">if</span>(gamma == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    {</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;        build_opts.emplace(<span class="stringliteral">&quot;#define USE_DEFAULT_GAMMA&quot;</span>);</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;</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.enabled())</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;        build_opts.emplace(<span class="stringliteral">&quot;#define &quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a635f1895d94050329b7da12850d1a056">string_from_activation_func</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.activation()));</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;        build_opts.emplace(<span class="stringliteral">&quot;#define A_VAL &quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2">float_to_string_with_full_precision</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.a()));</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        build_opts.emplace(<span class="stringliteral">&quot;#define B_VAL &quot;</span> + <a class="code" href="namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2">float_to_string_with_full_precision</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>.b()));</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    }</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <span class="comment">// Create kernel</span></div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    _kernel = static_cast&lt;GCKernel&gt;(<a class="code" href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">GCKernelLibrary::get</a>().<a class="code" href="namespacearm__compute.xhtml#abc72c95941485d8a068fa38372308574">create_kernel</a>(<span class="stringliteral">&quot;batchnormalization_layer&quot;</span>, build_opts));</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="comment">// Configure kernel window</span></div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <span class="keyword">auto</span> win_config = validate_and_configure_window(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;info(), output-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), mean-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), var-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(),</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;                                                    (beta != <span class="keyword">nullptr</span>) ? beta-&gt;<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>() : <span class="keyword">nullptr</span>, (gamma != <span class="keyword">nullptr</span>) ? gamma-&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="l00186"></a><span class="lineno">  186</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="l00187"></a><span class="lineno">  187</span>&#160;</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    IGCKernel::configure(win_config.second);</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00183">ConvolutionLayer.cpp:183</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="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_a635f1895d94050329b7da12850d1a056"><div class="ttname"><a href="namespacearm__compute.xhtml#a635f1895d94050329b7da12850d1a056">arm_compute::string_from_activation_func</a></div><div class="ttdeci">const std::string &amp; string_from_activation_func(ActivationLayerInfo::ActivationFunction act)</div><div class="ttdoc">Translates a given activation function to a string.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_utils_8cpp_source.xhtml#l00172">Utils.cpp:172</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="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div>
 <div class="ttc" id="namespacearm__compute_xhtml_a9cd394c15b73f79ca1d98f5328064be2"><div class="ttname"><a href="namespacearm__compute.xhtml#a9cd394c15b73f79ca1d98f5328064be2">arm_compute::float_to_string_with_full_precision</a></div><div class="ttdeci">std::string float_to_string_with_full_precision(float val)</div><div class="ttdoc">Create a string with the float in full precision.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l01211">Utils.h:1211</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="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="classarm__compute_1_1_g_c_kernel_library_xhtml_a677e1b4dae70aaa7a18e9a8f1a4692e8"><div class="ttname"><a href="classarm__compute_1_1_g_c_kernel_library.xhtml#a677e1b4dae70aaa7a18e9a8f1a4692e8">arm_compute::GCKernelLibrary::get</a></div><div class="ttdeci">static GCKernelLibrary &amp; get()</div><div class="ttdoc">Get the static instance of GCKernelLibrary.</div><div class="ttdef"><b>Definition:</b> <a href="_g_c_kernel_library_8cpp_source.xhtml#l00334">GCKernelLibrary.cpp:334</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="namespacearm__compute_1_1quantization_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">arm_compute::quantization::epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00036">AsymmHelpers.cpp:36</a></div></div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00183">arm_compute::test::validation::act_info</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="arm__compute_2core_2_helpers_8h_source.xhtml#l00086">arm_compute::create_kernel()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00036">arm_compute::quantization::epsilon</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::F32</a>, <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l01211">arm_compute::float_to_string_with_full_precision()</a>, <a class="el" href="_g_c_kernel_library_8cpp_source.xhtml#l00334">GCKernelLibrary::get()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>, <a class="el" href="src_2core_2_utils_8cpp_source.xhtml#l00172">arm_compute::string_from_activation_func()</a>, and <a class="el" href="_toolchain_support_8h_source.xhtml#l00272">arm_compute::support::cpp11::to_string()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_g_c_batch_normalization_layer_8cpp_source.xhtml#l00040">GCBatchNormalizationLayer::configure()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a83290f6748e18cbaa52313b345fcacd5">&#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_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a>&amp; operator= </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&#160;</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
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   </td>
   <td class="mlabels-right">
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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="aa89e50b4172bb1f0ab4712896f34e885"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#aa89e50b4172bb1f0ab4712896f34e885">&#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_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a>&amp; operator= </td>
           <td>(</td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a> &amp;&amp;&#160;</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
         </tr>
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 <p>Default move assignment operator. </p>

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 <a id="a8fd12b95bdde3f93db96bc9b1598db69"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a8fd12b95bdde3f93db96bc9b1598db69">&#9670;&nbsp;</a></span>run()</h2>

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           <td class="memname">void run </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_window.xhtml">Window</a> &amp;&#160;</td>
           <td class="paramname"><em>window</em></td><td>)</td>
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 <p>Enqueue the OpenGL ES shader to process the given window. </p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <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>
   </table>
   </dd>
 </dl>

 <p>Implements <a class="el" href="classarm__compute_1_1_i_g_c_kernel.xhtml#a6f56c8bb44166634652b877d6eb7a9a2">IGCKernel</a>.</p>

 <p class="definition">Definition at line <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml#l00205">205</a> of file <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml">GCBatchNormalizationLayerKernel.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;{</div><div class="line"><a name="l00207"></a><span class="lineno">  207</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="l00208"></a><span class="lineno">  208</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">IKernel::window</a>(), <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>);</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    _kernel.use();</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    _output-&gt;<a class="code" href="classarm__compute_1_1_i_g_c_tensor.xhtml#a69cfba8177b402abe134fdad5fe4c7dc">set_needs_shifting</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <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>    = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> slice_in = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a30ca5bdbb60ee281d7f1ab34f7a4ee40">first_slice_window_3D</a>();</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> vector_slice = <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#a54486ab629d17bf891146deb4b616717">first_slice_window_1D</a>();</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    vector_slice.<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="l00219"></a><span class="lineno">  219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> idx           = 2 * <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#abb64cdefb07e7d0e4dc5722015cccc35">num_arguments_per_3D_tensor</a>();</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> binding_point = 3;</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">add_1D_tensor_argument</a>(idx, _mean, binding_point, vector_slice);</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;    <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">add_1D_tensor_argument</a>(idx, _var, ++binding_point, vector_slice);</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="keywordflow">if</span>(_beta != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    {</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;        <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">add_1D_tensor_argument</a>(idx, _beta, ++binding_point, vector_slice);</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    }</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    <span class="keywordflow">if</span>(_gamma != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    {</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;        <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">add_1D_tensor_argument</a>(idx, _gamma, ++binding_point, vector_slice);</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;</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>.shift(<a class="code" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window::DimX</a>, -(_output-&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#a07b929c34ad1dc823d8315876aa403ce">padding</a>()).left);</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    <span class="keywordflow">do</span></div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    {</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;        idx = 0;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">add_3D_tensor_argument</a>(idx, _input, 1, slice_in);</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;        <a class="code" href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">add_3D_tensor_argument</a>(idx, _output, 2, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        _kernel.update_shader_params();</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        <a class="code" href="namespacearm__compute.xhtml#a6e51ab3789678d3e0b0b72178dd6c4c6">enqueue</a>(*<span class="keyword">this</span>, <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a548131b3d37da47a2e9d32111c88dfe1">slice</a>);</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="keywordflow">while</span>(<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<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>) &amp;&amp; <a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>.<a class="code" href="classarm__compute_1_1_window.xhtml#aac792e3a11bc73bafafc4f4284c7f215">slide_window_slice_3D</a>(slice_in));</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;}</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_g_c_kernel_xhtml_aa9ed9d806fc3364df21027387b9e735a"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_kernel.xhtml#aa9ed9d806fc3364df21027387b9e735a">arm_compute::IGCKernel::add_3D_tensor_argument</a></div><div class="ttdeci">void add_3D_tensor_argument(unsigned int &amp;idx, const IGCTensor *tensor, const unsigned int binding_point, 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_g_c_kernel_8cpp_source.xhtml#l00132">IGCKernel.cpp:132</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_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_g_c_kernel_xhtml_abb64cdefb07e7d0e4dc5722015cccc35"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_kernel.xhtml#abb64cdefb07e7d0e4dc5722015cccc35">arm_compute::IGCKernel::num_arguments_per_3D_tensor</a></div><div class="ttdeci">unsigned int num_arguments_per_3D_tensor() const</div><div class="ttdoc">Returns the number of arguments enqueued per 3D tensor object.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_kernel_8cpp_source.xhtml#l00147">IGCKernel.cpp:147</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_i_g_c_tensor_xhtml_a69cfba8177b402abe134fdad5fe4c7dc"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_tensor.xhtml#a69cfba8177b402abe134fdad5fe4c7dc">arm_compute::IGCTensor::set_needs_shifting</a></div><div class="ttdeci">void set_needs_shifting(bool needs_shifting)</div><div class="ttdoc">Set the flag indicating whether or not a tensor needs shifting.</div><div class="ttdef"><b>Definition:</b> <a href="_i_g_c_tensor_8cpp_source.xhtml#l00061">IGCTensor.cpp:61</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_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_i_tensor_info_xhtml_a07b929c34ad1dc823d8315876aa403ce"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">arm_compute::ITensorInfo::padding</a></div><div class="ttdeci">virtual PaddingSize padding() const =0</div><div class="ttdoc">Padding of tensor.</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_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="classarm__compute_1_1_i_g_c_kernel_xhtml_ae7a1e979b3442bd2f7732b5f51d5dded"><div class="ttname"><a href="classarm__compute_1_1_i_g_c_kernel.xhtml#ae7a1e979b3442bd2f7732b5f51d5dded">arm_compute::IGCKernel::add_1D_tensor_argument</a></div><div class="ttdeci">void add_1D_tensor_argument(unsigned int &amp;idx, const IGCTensor *tensor, const unsigned int binding_point, 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_g_c_kernel_8cpp_source.xhtml#l00122">IGCKernel.cpp:122</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_window_xhtml_a54486ab629d17bf891146deb4b616717"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#a54486ab629d17bf891146deb4b616717">arm_compute::Window::first_slice_window_1D</a></div><div class="ttdeci">Window first_slice_window_1D() const</div><div class="ttdoc">First 1D slice of the window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00273">Window.h:273</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>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00122">IGCKernel::add_1D_tensor_argument()</a>, <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00132">IGCKernel::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_8h_source.xhtml#l00043">Window::DimX</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#l00273">Window::first_slice_window_1D()</a>, <a class="el" href="_window_8h_source.xhtml#l00289">Window::first_slice_window_3D()</a>, <a class="el" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">ITensor::info()</a>, <a class="el" href="_i_g_c_kernel_8cpp_source.xhtml#l00147">IGCKernel::num_arguments_per_3D_tensor()</a>, <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">ITensorInfo::padding()</a>, <a class="el" href="_window_8inl_source.xhtml#l00049">Window::set()</a>, <a class="el" href="_i_g_c_tensor_8cpp_source.xhtml#l00061">IGCTensor::set_needs_shifting()</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>

 </div>
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 <h2 class="memtitle"><span class="permalink"><a href="#a7b183c349117a66b3f74138d5d86d634">&#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>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>input</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>output</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>mean</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>var</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>beta</em> = <code>nullptr</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *&#160;</td>
           <td class="paramname"><em>gamma</em> = <code>nullptr</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">float&#160;</td>
           <td class="paramname"><em>epsilon</em> = <code>0.001f</code>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>&#160;</td>
           <td class="paramname"><em>act_info</em> = <code><a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>()</code>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
       </table>
   </td>
   <td class="mlabels-right">
 <span class="mlabels"><span class="mlabel">static</span></span>  </td>
   </tr>
 </table>
 </div><div class="memdoc">

 <p>Static function to check if given info will lead to a valid configuration of <a class="el" href="classarm__compute_1_1_g_c_batch_normalization_layer_kernel.xhtml">GCBatchNormalizationLayerKernel</a>. </p>
 <dl class="params"><dt>Parameters</dt><dd>
   <table class="params">
     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Source tensor info. In case of <code>output</code> tensor info = nullptr, this tensor will store the result. 3 lower dimensions represent a single input with dimensions [width, height, FM]. The rest are optional and used for representing batches. Data types supported: F16/F32. </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">output</td><td>Destination tensor info. Output will have the same number of dimensions as input. Data type supported: same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">mean</td><td>Mean values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">var</td><td>Variance values tensor info. 1 dimension with size equal to the feature maps [FM]. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">beta</td><td>(Optional) Beta values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for beta is 0. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">gamma</td><td>(Optional) Gamma values tensor info. 1 dimension with size equal to the feature maps [FM]. If not provided, default value for gamma is 1. Data types supported: Same as <code>input</code> </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">epsilon</td><td>(Optional) Small value to avoid division with zero. Default value is 0.001f. </td></tr>
     <tr><td class="paramdir">[in]</td><td class="paramname">act_info</td><td>(Optional) Activation layer information in case of a fused activation. Only RELU, BOUNDED_RELU and LU_BOUNDED_RELU supported.</td></tr>
   </table>
   </dd>
 </dl>
 <dl class="section return"><dt>Returns</dt><dd>a status </dd></dl>

 <p class="definition">Definition at line <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml#l00191">191</a> of file <a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml">GCBatchNormalizationLayerKernel.cpp</a>.</p>
 <div class="fragment"><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;    <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_arguments(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, output, mean, var, beta, gamma, <a class="code" href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">epsilon</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a>));</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(validate_and_configure_window(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>-&gt;clone().get(), output-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(),</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;                                                              mean-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), var-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(),</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;                                                              beta-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), gamma-&gt;<a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get())</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                                .first);</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno">  202</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="l00203"></a><span class="lineno">  203</span>&#160;}</div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00183">ConvolutionLayer.cpp:183</a></div></div>
 <div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00204">Error.h:204</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</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_1quantization_xhtml_a552dc3787d7ea1675f3e4e8993501d58"><div class="ttname"><a href="namespacearm__compute_1_1quantization.xhtml#a552dc3787d7ea1675f3e4e8993501d58">arm_compute::quantization::epsilon</a></div><div class="ttdeci">constexpr float epsilon</div><div class="ttdef"><b>Definition:</b> <a href="_asymm_helpers_8cpp_source.xhtml#l00036">AsymmHelpers.cpp:36</a></div></div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00183">arm_compute::test::validation::act_info</a>, <a class="el" href="_error_8h_source.xhtml#l00204">ARM_COMPUTE_RETURN_ON_ERROR</a>, <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable&lt; T &gt;::clone()</a>, <a class="el" href="_asymm_helpers_8cpp_source.xhtml#l00036">arm_compute::quantization::epsilon</a>, and <a class="el" href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">arm_compute::test::validation::input</a>.</p>

 </div>
 </div>
 <hr/>The documentation for this class was generated from the following files:<ul>
 <li>arm_compute/core/GLES_COMPUTE/kernels/<a class="el" href="_g_c_batch_normalization_layer_kernel_8h_source.xhtml">GCBatchNormalizationLayerKernel.h</a></li>
 <li>src/core/GLES_COMPUTE/kernels/<a class="el" href="_g_c_batch_normalization_layer_kernel_8cpp_source.xhtml">GCBatchNormalizationLayerKernel.cpp</a></li>
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