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Diffstat (limited to 'latest/classarmnn_1_1_cl_backend.html')
| -rw-r--r-- | latest/classarmnn_1_1_cl_backend.html | 1332 |
1 files changed, 666 insertions, 666 deletions
diff --git a/latest/classarmnn_1_1_cl_backend.html b/latest/classarmnn_1_1_cl_backend.html index 1aff057111..1fc06a9876 100644 --- a/latest/classarmnn_1_1_cl_backend.html +++ b/latest/classarmnn_1_1_cl_backend.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">24.02</span> +  <span id="projectnumber">24.05</span> </div> </td> </tr> @@ -365,10 +365,10 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a07a1b3f9ac897364b5c2aacc227cbebc">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00236">236</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> {</div> -<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{<span class="keyword">new</span> ClBackendContext{options}};</div> -<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00235">235</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> {</div> +<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{<span class="keyword">new</span> ClBackendContext{options}};</div> +<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> }</div> </div><!-- fragment --> </div> </div> @@ -410,10 +410,10 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a6c5064ef6323af5c547674d01b15d7ab">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00241">241</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> {</div> -<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div> -<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00240">240</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> {</div> +<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div> +<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> }</div> </div><!-- fragment --> </div> </div> @@ -443,12 +443,12 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a41f38c8c2182463dec4f03769ea54f63">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00247">247</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> {</div> -<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>{<span class="keyword">new</span> ClBackendModelContext{modelOptions}};</div> -<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00246">246</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> {</div> +<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>{<span class="keyword">new</span> ClBackendModelContext{modelOptions}};</div> +<div class="line"><a name="l00250"></a><span class="lineno"> 250</span> }</div> </div><!-- fragment --> -<p class="reference">Referenced by <a class="el" href="_cl_backend_8cpp_source.html#l00067">ClBackend::CreateWorkloadFactory()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00262">ClBackend::GetLayerSupport()</a>, and <a class="el" href="_cl_backend_8cpp_source.html#l00293">ClBackend::OptimizeSubgraphView()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_cl_backend_8cpp_source.html#l00066">ClBackend::CreateWorkloadFactory()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00261">ClBackend::GetLayerSupport()</a>, and <a class="el" href="_cl_backend_8cpp_source.html#l00292">ClBackend::OptimizeSubgraphView()</a>.</p> </div> </div> @@ -477,14 +477,14 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a0fe4c12c8f1f0722d2a91f61c02a687a">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00051">51</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div> -<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> -<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div> -<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">return</span> std::make_unique<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> -<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div> -<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">return</span> std::make_unique<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> -<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00050">50</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> std::make_unique<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">return</span> std::make_unique<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, and <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>.</p> @@ -526,34 +526,34 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#aebacbea86fddc46858f6329671ccf750">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00102">102</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> {</div> -<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> -<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> -<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div> -<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> -<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div> -<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div> -<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> -<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  }</div> -<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> -<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> -<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> -<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>), <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div> -<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  </div> -<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> -<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> -<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  </div> -<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  registry.RegisterMemoryManager(memoryManager);</div> -<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  registry.RegisterFactory(std::move(factory));</div> -<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  registry.RegisterFactory(std::move(importFactory));</div> -<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  </div> -<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> -<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> -<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00101">101</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>), <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  </div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  registry.RegisterMemoryManager(memoryManager);</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  registry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  registry.RegisterFactory(std::move(importFactory));</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  </div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00247">ClBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> +<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00246">ClBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> </div> </div> @@ -605,43 +605,43 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a6abedf4465c7f6b634a207d228cdf284">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00130">130</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> {</div> -<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div> -<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> -<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div> -<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  inputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> -<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div> -<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> -<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div> -<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  outputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> -<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div> -<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> -<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> -<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div> -<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> -<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div> -<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div> -<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> -<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div> -<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  </div> -<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> -<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> -<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  inputFlags, outputFlags);</div> -<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  </div> -<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> -<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> -<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  </div> -<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  registry.RegisterMemoryManager(memoryManager);</div> -<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  registry.RegisterFactory(std::move(factory));</div> -<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  registry.RegisterFactory(std::move(importFactory));</div> -<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div> -<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> -<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> -<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00129">129</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  {</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  inputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  {</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  outputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {</div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> +<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div> +<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  </div> +<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> +<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  inputFlags, outputFlags);</div> +<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  </div> +<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> +<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> +<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  registry.RegisterMemoryManager(memoryManager);</div> +<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  registry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  registry.RegisterFactory(std::move(importFactory));</div> +<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div> +<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> +<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> +<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00247">ClBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>, and <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>.</p> +<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00246">ClBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>, and <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>.</p> </div> </div> @@ -671,11 +671,11 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.html#afd5a5e90515b31c0174f76ec8897e9b1">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00060">60</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div> -<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> -<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager));</div> -<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00059">59</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> {</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager));</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</div> </div><!-- fragment --> </div> </div> @@ -715,13 +715,13 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a22973198ab5ac5624b4caa78100d2d25">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00067">67</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> {</div> -<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> -<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> -<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00066">66</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> {</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00247">ClBackend::CreateBackendSpecificModelContext()</a>.</p> +<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00246">ClBackend::CreateBackendSpecificModelContext()</a>.</p> </div> </div> @@ -751,32 +751,32 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a41c5c170ef6708c1efc683d900f624ff">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00074">74</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> {</div> -<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> -<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> -<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div> -<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> -<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div> -<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div> -<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> -<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div> -<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> -<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> -<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> -<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>), <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div> -<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div> -<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> -<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> -<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  </div> -<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  registry.RegisterMemoryManager(memoryManager);</div> -<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  registry.RegisterFactory(std::move(factory));</div> -<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  registry.RegisterFactory(std::move(importFactory));</div> -<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  </div> -<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> -<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager));</div> -<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00073">73</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> +<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  {</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  }</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>), <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  </div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  registry.RegisterMemoryManager(memoryManager);</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  registry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  registry.RegisterFactory(std::move(importFactory));</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  </div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> std::make_unique<ClWorkloadFactory>(</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  PolymorphicPointerDowncast<ClMemoryManager>(memoryManager));</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> @@ -809,22 +809,22 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a057f6c5c3ab3248050ed548273c4beb9">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00276">276</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> {</div> -<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="comment">// add new capabilities here..</span></div> -<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a> (<span class="stringliteral">"GpuAcc"</span>,</div> -<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div> -<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {<span class="stringliteral">"NonConstWeights"</span>, <span class="keyword">true</span>},</div> -<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {<span class="stringliteral">"AsyncExecution"</span>, <span class="keyword">false</span>},</div> -<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  {<span class="stringliteral">"ProtectedContentAllocation"</span>, <span class="keyword">true</span>},</div> -<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {<span class="stringliteral">"ConstantTensorsAsInputs"</span>, <span class="keyword">true</span>},</div> -<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {<span class="stringliteral">"PreImportIOTensors"</span>, <span class="keyword">false</span>},</div> -<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {<span class="stringliteral">"ExternallyManagedMemory"</span>, <span class="keyword">true</span>},</div> -<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  {<span class="stringliteral">"MultiAxisPacking"</span>, <span class="keyword">false</span>},</div> -<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {<span class="stringliteral">"SingleAxisPacking"</span>, <span class="keyword">true</span>},</div> -<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {<span class="stringliteral">"HasFp16"</span>, arm_compute::CLKernelLibrary::get().fp16_supported()}</div> -<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  });</div> -<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00275">275</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> {</div> +<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// add new capabilities here..</span></div> +<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">BackendCapabilities</a> (<span class="stringliteral">"GpuAcc"</span>,</div> +<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  {</div> +<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {<span class="stringliteral">"NonConstWeights"</span>, <span class="keyword">true</span>},</div> +<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  {<span class="stringliteral">"AsyncExecution"</span>, <span class="keyword">false</span>},</div> +<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  {<span class="stringliteral">"ProtectedContentAllocation"</span>, <span class="keyword">true</span>},</div> +<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  {<span class="stringliteral">"ConstantTensorsAsInputs"</span>, <span class="keyword">true</span>},</div> +<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {<span class="stringliteral">"PreImportIOTensors"</span>, <span class="keyword">false</span>},</div> +<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {<span class="stringliteral">"ExternallyManagedMemory"</span>, <span class="keyword">true</span>},</div> +<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {<span class="stringliteral">"MultiAxisPacking"</span>, <span class="keyword">false</span>},</div> +<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  {<span class="stringliteral">"SingleAxisPacking"</span>, <span class="keyword">true</span>},</div> +<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {<span class="stringliteral">"HasFp16"</span>, arm_compute::CLKernelLibrary::get().fp16_supported()}</div> +<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  });</div> +<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> }</div> </div><!-- fragment --> </div> </div> @@ -856,10 +856,10 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a563472222884844adc3183c433f38e54">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00271">271</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> {</div> -<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> std::make_unique<ClBackendDefaultAllocator>();</div> -<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00270">270</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> {</div> +<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">return</span> std::make_unique<ClBackendDefaultAllocator>();</div> +<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</div> </div><!-- fragment --> </div> </div> @@ -890,13 +890,13 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#ac5d107c5672f446603b6e6b92bce6244">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00170">170</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> {</div> -<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">return</span> std::vector<ITensorHandleFactory::FactoryId> {<a class="code" href="classarmnn_1_1_cl_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">ClTensorHandleFactory::GetIdStatic</a>(),</div> -<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="classarmnn_1_1_cl_import_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">ClImportTensorHandleFactory::GetIdStatic</a>()};</div> -<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00169">169</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> {</div> +<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">return</span> std::vector<ITensorHandleFactory::FactoryId> {<a class="code" href="classarmnn_1_1_cl_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">ClTensorHandleFactory::GetIdStatic</a>(),</div> +<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classarmnn_1_1_cl_import_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">ClImportTensorHandleFactory::GetIdStatic</a>()};</div> +<div class="line"><a name="l00173"></a><span class="lineno"> 173</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_tensor_handle_factory_8cpp_source.html#l00093">ClTensorHandleFactory::GetIdStatic()</a>, and <a class="el" href="_cl_import_tensor_handle_factory_8cpp_source.html#l00093">ClImportTensorHandleFactory::GetIdStatic()</a>.</p> +<p class="reference">References <a class="el" href="_cl_tensor_handle_factory_8cpp_source.html#l00094">ClTensorHandleFactory::GetIdStatic()</a>, and <a class="el" href="_cl_import_tensor_handle_factory_8cpp_source.html#l00093">ClImportTensorHandleFactory::GetIdStatic()</a>.</p> </div> </div> @@ -928,7 +928,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_cl_backend_8hpp_source.html#l00036">36</a> of file <a class="el" href="_cl_backend_8hpp_source.html">ClBackend.hpp</a>.</p> <div class="fragment"><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> { <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_cl_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">GetIdStatic</a>(); }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00045">ClBackend::GetIdStatic()</a>.</p> +<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00044">ClBackend::GetIdStatic()</a>.</p> </div> </div> @@ -955,11 +955,11 @@ Additional Inherited Members</h2></td></tr> </table> </div><div class="memdoc"> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00045">45</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div> -<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.html#adfe10e7086e3e3b98927cf84aee03dd0">ClBackendId</a>()};</div> -<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> s_Id;</div> -<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00044">44</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.html#adfe10e7086e3e3b98927cf84aee03dd0">ClBackendId</a>()};</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">return</span> s_Id;</div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="_cl_backend_id_8hpp_source.html#l00010">armnn::ClBackendId()</a>.</p> @@ -992,14 +992,14 @@ Additional Inherited Members</h2></td></tr> <p>Implements <a class="el" href="classarmnn_1_1_i_backend_internal.html#ad86597efa7c25997572c80dc29f3104a">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00253">253</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> {</div> -<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> -<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div> -<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">new</span> ClLayerSupport(<a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div> -<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  };</div> -<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">return</span> layerSupport;</div> -<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00252">252</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> {</div> +<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> +<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div> +<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">new</span> ClLayerSupport(<a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div> +<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  };</div> +<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> layerSupport;</div> +<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> }</div> </div><!-- fragment --> </div> </div> @@ -1029,16 +1029,16 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#aa654fe558005ad90f2e9a2e1f175ebce">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00262">262</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> {</div> -<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> -<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div> -<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">new</span> ClLayerSupport(<a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions))</div> -<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  };</div> -<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">return</span> layerSupport;</div> -<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00261">261</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> {</div> +<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> +<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div> +<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keyword">new</span> ClLayerSupport(<a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions))</div> +<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  };</div> +<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">return</span> layerSupport;</div> +<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00247">ClBackend::CreateBackendSpecificModelContext()</a>.</p> +<p class="reference">References <a class="el" href="_cl_backend_8cpp_source.html#l00246">ClBackend::CreateBackendSpecificModelContext()</a>.</p> </div> </div> @@ -1111,440 +1111,440 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a3623ac8294bf071d68eb7d71383e9a83">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00293">293</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00295"></a><span class="lineno"> 295</span> {</div> -<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  OptimizationViews optimizationViews(modelOptions);</div> -<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  </div> -<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keyword">auto</span> it = subgraph.end();</div> -<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> -<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  std::map<LayerGuid, Layer*> untouched;</div> -<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  </div> -<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">while</span> (it != subgraph.begin())</div> -<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  {</div> -<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  --it;</div> -<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div> -<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  untouched.insert({base.GetGuid(), &base});</div> -<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div> -<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  </div> -<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  it = subgraph.end();</div> -<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div> -<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> modelContextPtr = <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions);</div> -<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  </div> -<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">if</span> (modelContextPtr)</div> -<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div> -<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keyword">auto</span> clModelOptions = <span class="keyword">dynamic_cast<</span>ClBackendModelContext*<span class="keyword">></span>(modelContextPtr.get());</div> -<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">if</span> (clModelOptions)</div> -<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  {</div> -<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  isFastMathEnabled = clModelOptions->IsFastMathEnabled();</div> -<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  }</div> -<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  }</div> -<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> <span class="preprocessor">#endif</span></div> -<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">while</span> (it != subgraph.begin())</div> -<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  {</div> -<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  --it;</div> -<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div> -<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  </div> -<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="comment">// Fuse activation into previous layer if supported by backend</span></div> -<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordflow">if</span> ((base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a></div> -<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a></div> -<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a></div> -<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a></div> -<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div> -<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  && (base.GetAdditionalInformation<ActivationDescriptor>() == <span class="keyword">nullptr</span>))</div> -<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  {</div> -<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output = base.BeginOutputSlots(); output != base.EndOutputSlots(); ++output)</div> -<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {</div> -<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (output->GetNumConnections() == 1)</div> -<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  {</div> -<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& childInput : output->GetConnections())</div> -<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  {</div> -<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keywordflow">if</span> ((childInput->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>) &&</div> -<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  (checkDataTypeInputandOutput(childInput->GetOwningLayer())))</div> -<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  {</div> -<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  Layer& child = childInput->GetOwningLayer();</div> -<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  </div> -<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">auto</span>* activationLayer = PolymorphicDowncast<ActivationLayer*>(&child);</div> -<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  </div> -<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"fused-"</span>) + child.GetName() + std::string(<span class="stringliteral">"-into-"</span>) +</div> -<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  base.GetName();</div> -<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  </div> -<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="comment">// Get params from activation layer</span></div> -<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  ActivationDescriptor activationDesc = activationLayer->GetParameters();</div> -<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  </div> -<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>)</div> -<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  {</div> -<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  Convolution2dLayer* baseLayer = PolymorphicDowncast<Convolution2dLayer*>(&base);</div> -<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  </div> -<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  Optional<TensorInfo> biases;</div> -<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  </div> -<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_BiasEnabled)</div> -<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  {</div> -<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> -<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  }</div> -<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  </div> -<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a61cf0886d4c1a6e24c101a57ccb2ec31">ClConvolution2dWorkloadValidate</a>(</div> -<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  baseLayer->GetParameters(),</div> -<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  biases,</div> -<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  isFastMathEnabled,</div> -<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  &activationDesc);</div> -<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  </div> -<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {</div> -<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  FuseConvolution2dLayer<Convolution2dLayer>(optimizationViews,</div> -<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  baseLayer,</div> -<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  activationLayer,</div> -<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  activationDesc,</div> -<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  name);</div> -<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div> -<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  }</div> -<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>)</div> -<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  {</div> -<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  DepthwiseConvolution2dLayer* baseLayer =</div> -<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  PolymorphicDowncast<DepthwiseConvolution2dLayer*>(&base);</div> -<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  </div> -<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  Optional<TensorInfo> biases;</div> -<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  </div> -<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_BiasEnabled)</div> -<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  {</div> -<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> -<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  }</div> -<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  </div> -<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b">ClDepthwiseConvolutionWorkloadValidate</a>(</div> -<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  baseLayer->GetParameters(),</div> -<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  biases,</div> -<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  &activationDesc);</div> -<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  </div> -<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div> -<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  FuseDepthwiseConvolution2dLayer<DepthwiseConvolution2dLayer>(optimizationViews,</div> -<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  baseLayer,</div> -<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  activationLayer,</div> -<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  activationDesc,</div> -<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  name);</div> -<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div> -<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</div> -<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>)</div> -<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  {</div> -<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  FullyConnectedLayer* baseLayer = PolymorphicDowncast<FullyConnectedLayer*>(&base);</div> -<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  FullyConnectedDescriptor descriptor = baseLayer->GetParameters();</div> -<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  </div> -<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="comment">// As bias is optional only try to get TensorInfo from input if bias is enabled.</span></div> -<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  Optional<TensorInfo> biases;</div> -<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div> -<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  {</div> -<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> -<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div> -<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  </div> -<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a18c7eef8533ca0acbbe081cd1a1fec98">ClFullyConnectedWorkloadValidate</a>(</div> -<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  biases,</div> -<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  baseLayer->GetParameters(),</div> -<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  &activationDesc);</div> -<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  </div> -<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  {</div> -<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  FuseFullyConnectedLayer<FullyConnectedLayer>(optimizationViews,</div> -<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  baseLayer,</div> -<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  activationLayer,</div> -<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  activationDesc,</div> -<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  name);</div> -<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  }</div> -<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div> -<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>)</div> -<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  {</div> -<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  BatchNormalizationLayer* baseLayer =</div> -<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  PolymorphicDowncast<BatchNormalizationLayer*>(&base);</div> -<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  </div> -<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be">ClBatchNormalizationValidate</a>(</div> -<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  baseLayer->m_Mean->GetTensorInfo(),</div> -<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  baseLayer->m_Variance->GetTensorInfo(),</div> -<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  baseLayer->m_Beta->GetTensorInfo(),</div> -<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  baseLayer->m_Gamma->GetTensorInfo(),</div> -<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  baseLayer->GetParameters(),</div> -<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  &activationDesc);</div> -<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  </div> -<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  {</div> -<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  BatchNormalizationLayer* replacementLayer =</div> -<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  FuseBatchNormalizationLayer<BatchNormalizationLayer>(optimizationViews,</div> -<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  baseLayer,</div> -<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  activationLayer,</div> -<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  activationDesc,</div> -<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  name);</div> -<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  </div> -<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  replacementLayer->m_Beta = std::move(baseLayer->m_Beta);</div> -<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  replacementLayer->m_Gamma = std::move(baseLayer->m_Gamma);</div> -<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  replacementLayer->m_Mean = std::move(baseLayer->m_Mean);</div> -<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  replacementLayer->m_Variance = std::move(baseLayer->m_Variance);</div> -<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  </div> -<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  }</div> -<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  }</div> -<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>)</div> -<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  {</div> -<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  AdditionLayer* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base);</div> -<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  </div> -<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a24fc3e8e29d3fa56cc6b2d81e48625d1">ClAdditionValidate</a>(</div> -<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  &activationDesc);</div> -<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  </div> -<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  {</div> -<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  FuseAdditionLayer<AdditionLayer>(optimizationViews,</div> -<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  baseLayer,</div> -<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  activationLayer,</div> -<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  activationDesc,</div> -<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  name);</div> -<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  </div> -<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</div> -<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  }</div> -<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>)</div> -<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  {</div> -<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  DivisionLayer* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base);</div> -<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  </div> -<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">ClDivisionWorkloadValidate</a>(</div> -<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  &activationDesc);</div> -<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  </div> -<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  {</div> -<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  FuseDivisionLayer<DivisionLayer>(optimizationViews,</div> -<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  baseLayer,</div> -<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  activationLayer,</div> -<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  activationDesc,</div> -<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  name);</div> -<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div> -<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  }</div> -<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>)</div> -<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  {</div> -<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  MultiplicationLayer* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base);</div> -<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  </div> -<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">ClMultiplicationWorkloadValidate</a>(</div> -<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  &activationDesc);</div> -<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  </div> -<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  {</div> -<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  FuseMultiplicationLayer<MultiplicationLayer>(optimizationViews,</div> -<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  baseLayer,</div> -<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  activationLayer,</div> -<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  activationDesc,</div> -<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  name);</div> -<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  }</div> -<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  }</div> -<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>)</div> -<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  {</div> -<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  SubtractionLayer* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base);</div> -<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  </div> -<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">ClSubtractionValidate</a>(</div> -<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  &activationDesc);</div> -<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  </div> -<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  {</div> -<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  FuseSubtractionLayer<SubtractionLayer>(optimizationViews,</div> -<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  baseLayer,</div> -<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  activationLayer,</div> -<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  activationDesc,</div> -<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  name);</div> -<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div> -<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  }</div> -<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div> -<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  {</div> -<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  ElementwiseBinaryLayer* baseLayer = PolymorphicDowncast<ElementwiseBinaryLayer*>(&base);</div> -<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  </div> -<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>)</div> -<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  {</div> -<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a24fc3e8e29d3fa56cc6b2d81e48625d1">ClAdditionValidate</a>(</div> -<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  &activationDesc);</div> -<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  </div> -<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  {</div> -<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> -<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  baseLayer,</div> -<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  activationLayer,</div> -<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  activationDesc,</div> -<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>,</div> -<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  name);</div> -<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  }</div> -<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  }</div> -<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>)</div> -<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  {</div> -<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">ClDivisionWorkloadValidate</a>(</div> -<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  &activationDesc);</div> -<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  </div> -<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  {</div> -<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> -<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  baseLayer,</div> -<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  activationLayer,</div> -<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  activationDesc,</div> -<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>,</div> -<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  name);</div> -<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div> -<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  }</div> -<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>)</div> -<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  {</div> -<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">ClMultiplicationWorkloadValidate</a>(</div> -<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  &activationDesc);</div> -<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  </div> -<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  {</div> -<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> -<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  baseLayer,</div> -<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  activationLayer,</div> -<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  activationDesc,</div> -<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>,</div> -<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  name);</div> -<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div> -<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  }</div> -<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>)</div> -<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  {</div> -<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">ClSubtractionValidate</a>(</div> -<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> -<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  &activationDesc);</div> -<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  </div> -<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  <span class="keywordflow">if</span> (status)</div> -<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  {</div> -<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> -<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  baseLayer,</div> -<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  activationLayer,</div> -<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  activationDesc,</div> -<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>,</div> -<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  name);</div> -<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  untouched.erase(activationLayer->GetGuid());</div> -<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  }</div> -<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  }</div> -<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <span class="comment">// No fusion available for other BinaryOperations</span></div> -<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  }</div> -<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  }</div> -<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  }</div> -<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  }</div> -<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  }</div> -<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  }</div> -<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  </div> -<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="comment">// Separate reduce layer with multiple axes into multiple reduce layers with 1 axis.</span></div> -<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>)</div> -<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  {</div> -<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  ReduceLayer* baseLayer = PolymorphicDowncast<ReduceLayer*>(&base);</div> -<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  ReduceDescriptor reduceDescriptor = baseLayer->GetParameters();</div> -<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  </div> -<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordflow">if</span> (!reduceDescriptor.m_vAxis.empty() && reduceDescriptor.m_vAxis.size() > 1)</div> -<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  {</div> -<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="comment">// Add new layers to the graph and connect them.</span></div> -<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  std::vector<IConnectableLayer*> layers = ChainReduceLayers<ReduceLayer>(optimizationViews,</div> -<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  baseLayer,</div> -<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  reduceDescriptor);</div> -<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  </div> -<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="comment">// Replace existing baselayer with new subgraph.</span></div> -<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  ReplaceLayers<ReduceLayer>(optimizationViews, baseLayer, layers);</div> -<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  }</div> -<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  }</div> -<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  </div> -<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="comment">// Remove Reshape where possible</span></div> -<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>)</div> -<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  {</div> -<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  ReshapeLayer* baseLayer = PolymorphicDowncast<ReshapeLayer*>(&base);</div> -<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  </div> -<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="comment">// Cannot remove a Reshape if it's connected to any layer that has an NCHW layout</span></div> -<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">ConnectedToLayerWithNCHW</a>(baseLayer))</div> -<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  {</div> -<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keywordflow">continue</span>;</div> -<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  }</div> -<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <a class="code" href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">RemoveReshapeLayer</a>(baseLayer, untouched, optimizationViews);</div> -<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  }</div> -<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  </div> -<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="comment">// Special case to fuse padding into average pooling 2d for quantized datatype.</span></div> -<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="comment">// Required to be done as a backend specific optimization as Neon does not support this special case.</span></div> -<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>)</div> -<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  {</div> -<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  Pooling2dLayer* baseLayer = PolymorphicDowncast<Pooling2dLayer*>(&base);</div> -<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  <a class="code" href="namespacearmnn_deserializer.html#a7e75f47f676327bce37149932aa4a011">Pooling2dDescriptor</a> poolingDescriptor = baseLayer->GetParameters();</div> -<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  </div> -<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  <span class="keywordflow">if</span> (baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>)</div> -<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  {</div> -<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  PadLayer* padLayer = PolymorphicDowncast<PadLayer*>(</div> -<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  &baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer());</div> -<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">if</span> (padLayer->GetOutputSlot(0).GetNumConnections() == 1 &&</div> -<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  <a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.html#a33ffc65d1f6581b0789d3d3a033f698e">optimizations::pad_fold::TryFoldPadIntoLayer2d</a>(padLayer->GetParameters(),</div> -<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  poolingDescriptor,</div> -<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  padLayer->GetOutputSlot().GetTensorInfo(),</div> -<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <span class="keyword">true</span>))</div> -<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  {</div> -<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  FoldPadIntoAveragePool2d<Pooling2dLayer>(optimizationViews, baseLayer,</div> -<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  poolingDescriptor, padLayer);</div> -<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  untouched.erase(baseLayer->GetGuid());</div> -<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  untouched.erase(padLayer->GetGuid());</div> -<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  }</div> -<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  }</div> -<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  }</div> -<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  }</div> -<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  </div> -<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  <span class="keywordflow">if</span> (optimizationViews.GetSubstitutions().empty() && optimizationViews.GetDeletedSubgraphs().empty())</div> -<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  {</div> -<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  optimizationViews.AddUntouchedSubgraph(SubgraphView(subgraph));</div> -<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  }</div> -<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  {</div> -<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <a class="code" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(optimizationViews, untouched);</div> -<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  }</div> -<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  </div> -<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <span class="keywordflow">return</span> optimizationViews;</div> -<div class="line"><a name="l00725"></a><span class="lineno"> 725</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00292">292</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> {</div> +<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  OptimizationViews optimizationViews(modelOptions);</div> +<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  </div> +<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keyword">auto</span> it = subgraph.end();</div> +<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordtype">bool</span> isFastMathEnabled = <span class="keyword">false</span>;</div> +<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  std::map<LayerGuid, Layer*> untouched;</div> +<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  </div> +<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">while</span> (it != subgraph.begin())</div> +<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  {</div> +<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  --it;</div> +<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div> +<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  untouched.insert({base.GetGuid(), &base});</div> +<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  }</div> +<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  </div> +<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  it = subgraph.end();</div> +<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="preprocessor">#if defined(ARMCOMPUTECL_ENABLED)</span></div> +<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> modelContextPtr = <a class="code" href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions);</div> +<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  </div> +<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">if</span> (modelContextPtr)</div> +<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  {</div> +<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">auto</span> clModelOptions = <span class="keyword">dynamic_cast<</span>ClBackendModelContext*<span class="keyword">></span>(modelContextPtr.get());</div> +<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">if</span> (clModelOptions)</div> +<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  {</div> +<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  isFastMathEnabled = clModelOptions->IsFastMathEnabled();</div> +<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  }</div> +<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  }</div> +<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="preprocessor">#endif</span></div> +<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">while</span> (it != subgraph.begin())</div> +<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  {</div> +<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  --it;</div> +<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  Layer& base = *(PolymorphicDowncast<Layer*>(*it));</div> +<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  </div> +<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="comment">// Fuse activation into previous layer if supported by backend</span></div> +<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">if</span> ((base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a></div> +<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a></div> +<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a></div> +<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a></div> +<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  || base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div> +<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  && (base.GetAdditionalInformation<ActivationDescriptor>() == <span class="keyword">nullptr</span>))</div> +<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  {</div> +<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output = base.BeginOutputSlots(); output != base.EndOutputSlots(); ++output)</div> +<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div> +<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">if</span> (output->GetNumConnections() == 1)</div> +<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div> +<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& childInput : output->GetConnections())</div> +<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div> +<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">if</span> ((childInput->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>) &&</div> +<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  (checkDataTypeInputandOutput(childInput->GetOwningLayer())))</div> +<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  {</div> +<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  Layer& child = childInput->GetOwningLayer();</div> +<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  </div> +<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">auto</span>* activationLayer = PolymorphicDowncast<ActivationLayer*>(&child);</div> +<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  </div> +<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"fused-"</span>) + child.GetName() + std::string(<span class="stringliteral">"-into-"</span>) +</div> +<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  base.GetName();</div> +<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  </div> +<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="comment">// Get params from activation layer</span></div> +<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  ActivationDescriptor activationDesc = activationLayer->GetParameters();</div> +<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  </div> +<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>)</div> +<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  {</div> +<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  Convolution2dLayer* baseLayer = PolymorphicDowncast<Convolution2dLayer*>(&base);</div> +<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  </div> +<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  Optional<TensorInfo> biases;</div> +<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  </div> +<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_BiasEnabled)</div> +<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div> +<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> +<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div> +<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  </div> +<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a61cf0886d4c1a6e24c101a57ccb2ec31">ClConvolution2dWorkloadValidate</a>(</div> +<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  biases,</div> +<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  isFastMathEnabled,</div> +<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  &activationDesc);</div> +<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  </div> +<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  {</div> +<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  FuseConvolution2dLayer<Convolution2dLayer>(optimizationViews,</div> +<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  baseLayer,</div> +<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  activationLayer,</div> +<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  activationDesc,</div> +<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  name);</div> +<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  }</div> +<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div> +<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>)</div> +<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  {</div> +<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  DepthwiseConvolution2dLayer* baseLayer =</div> +<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  PolymorphicDowncast<DepthwiseConvolution2dLayer*>(&base);</div> +<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  </div> +<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  Optional<TensorInfo> biases;</div> +<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div> +<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_BiasEnabled)</div> +<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  {</div> +<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> +<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div> +<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  </div> +<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#aa6670a2fcf9f365da69f3f3092dfa64b">ClDepthwiseConvolutionWorkloadValidate</a>(</div> +<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  biases,</div> +<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  &activationDesc);</div> +<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  </div> +<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  {</div> +<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  FuseDepthwiseConvolution2dLayer<DepthwiseConvolution2dLayer>(optimizationViews,</div> +<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  baseLayer,</div> +<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  activationLayer,</div> +<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  activationDesc,</div> +<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  name);</div> +<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</div> +<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div> +<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>)</div> +<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  {</div> +<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  FullyConnectedLayer* baseLayer = PolymorphicDowncast<FullyConnectedLayer*>(&base);</div> +<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  FullyConnectedDescriptor descriptor = baseLayer->GetParameters();</div> +<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  </div> +<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="comment">// As bias is optional only try to get TensorInfo from input if bias is enabled.</span></div> +<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  Optional<TensorInfo> biases;</div> +<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div> +<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  {</div> +<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  biases = baseLayer->GetInputSlot(2).GetConnectedOutputSlot()->GetTensorInfo();</div> +<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  }</div> +<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  </div> +<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a18c7eef8533ca0acbbe081cd1a1fec98">ClFullyConnectedWorkloadValidate</a>(</div> +<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  biases,</div> +<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  &activationDesc);</div> +<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  </div> +<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  {</div> +<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  FuseFullyConnectedLayer<FullyConnectedLayer>(optimizationViews,</div> +<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  baseLayer,</div> +<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  activationLayer,</div> +<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  activationDesc,</div> +<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  name);</div> +<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div> +<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  }</div> +<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>)</div> +<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div> +<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  BatchNormalizationLayer* baseLayer =</div> +<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  PolymorphicDowncast<BatchNormalizationLayer*>(&base);</div> +<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  </div> +<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be">ClBatchNormalizationValidate</a>(</div> +<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  baseLayer->m_Mean->GetTensorInfo(),</div> +<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  baseLayer->m_Variance->GetTensorInfo(),</div> +<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  baseLayer->m_Beta->GetTensorInfo(),</div> +<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  baseLayer->m_Gamma->GetTensorInfo(),</div> +<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  baseLayer->GetParameters(),</div> +<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  &activationDesc);</div> +<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  </div> +<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  {</div> +<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  BatchNormalizationLayer* replacementLayer =</div> +<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  FuseBatchNormalizationLayer<BatchNormalizationLayer>(optimizationViews,</div> +<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  baseLayer,</div> +<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  activationLayer,</div> +<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  activationDesc,</div> +<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  name);</div> +<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  </div> +<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  replacementLayer->m_Beta = std::move(baseLayer->m_Beta);</div> +<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  replacementLayer->m_Gamma = std::move(baseLayer->m_Gamma);</div> +<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  replacementLayer->m_Mean = std::move(baseLayer->m_Mean);</div> +<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  replacementLayer->m_Variance = std::move(baseLayer->m_Variance);</div> +<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  </div> +<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  }</div> +<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  }</div> +<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>)</div> +<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  {</div> +<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  AdditionLayer* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base);</div> +<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  </div> +<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a24fc3e8e29d3fa56cc6b2d81e48625d1">ClAdditionValidate</a>(</div> +<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  &activationDesc);</div> +<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  </div> +<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div> +<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  FuseAdditionLayer<AdditionLayer>(optimizationViews,</div> +<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  baseLayer,</div> +<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  activationLayer,</div> +<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  activationDesc,</div> +<div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  name);</div> +<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  </div> +<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  }</div> +<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  }</div> +<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>)</div> +<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  {</div> +<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  DivisionLayer* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base);</div> +<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  </div> +<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">ClDivisionWorkloadValidate</a>(</div> +<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  &activationDesc);</div> +<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  </div> +<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  {</div> +<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  FuseDivisionLayer<DivisionLayer>(optimizationViews,</div> +<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  baseLayer,</div> +<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  activationLayer,</div> +<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  activationDesc,</div> +<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  name);</div> +<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  }</div> +<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div> +<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>)</div> +<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  {</div> +<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  MultiplicationLayer* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base);</div> +<div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  </div> +<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">ClMultiplicationWorkloadValidate</a>(</div> +<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  &activationDesc);</div> +<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  </div> +<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div> +<div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  FuseMultiplicationLayer<MultiplicationLayer>(optimizationViews,</div> +<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  baseLayer,</div> +<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  activationLayer,</div> +<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  activationDesc,</div> +<div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  name);</div> +<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  }</div> +<div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  }</div> +<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>)</div> +<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  {</div> +<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  SubtractionLayer* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base);</div> +<div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  </div> +<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">ClSubtractionValidate</a>(</div> +<div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  &activationDesc);</div> +<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  </div> +<div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  {</div> +<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  FuseSubtractionLayer<SubtractionLayer>(optimizationViews,</div> +<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  baseLayer,</div> +<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  activationLayer,</div> +<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  activationDesc,</div> +<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  name);</div> +<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  }</div> +<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  }</div> +<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div> +<div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div> +<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  ElementwiseBinaryLayer* baseLayer = PolymorphicDowncast<ElementwiseBinaryLayer*>(&base);</div> +<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  </div> +<div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>)</div> +<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  {</div> +<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a24fc3e8e29d3fa56cc6b2d81e48625d1">ClAdditionValidate</a>(</div> +<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  &activationDesc);</div> +<div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  </div> +<div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  {</div> +<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> +<div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  baseLayer,</div> +<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  activationLayer,</div> +<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  activationDesc,</div> +<div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>,</div> +<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  name);</div> +<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div> +<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  }</div> +<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>)</div> +<div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  {</div> +<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">ClDivisionWorkloadValidate</a>(</div> +<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  &activationDesc);</div> +<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  </div> +<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div> +<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> +<div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  baseLayer,</div> +<div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  activationLayer,</div> +<div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  activationDesc,</div> +<div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>,</div> +<div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  name);</div> +<div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  }</div> +<div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  }</div> +<div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>)</div> +<div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  {</div> +<div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">ClMultiplicationWorkloadValidate</a>(</div> +<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  &activationDesc);</div> +<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  </div> +<div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  {</div> +<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> +<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  baseLayer,</div> +<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  activationLayer,</div> +<div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  activationDesc,</div> +<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>,</div> +<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  name);</div> +<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  }</div> +<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div> +<div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer->GetParameters().m_Operation == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>)</div> +<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  {</div> +<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">ClSubtractionValidate</a>(</div> +<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  baseLayer->GetInputSlot(1).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> +<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  &activationDesc);</div> +<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  </div> +<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <span class="keywordflow">if</span> (status)</div> +<div class="line"><a name="l00637"></a><span class="lineno"> 637</span>  {</div> +<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> +<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  baseLayer,</div> +<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  activationLayer,</div> +<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  activationDesc,</div> +<div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>,</div> +<div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  name);</div> +<div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  untouched.erase(activationLayer->GetGuid());</div> +<div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  }</div> +<div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  }</div> +<div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  <span class="comment">// No fusion available for other BinaryOperations</span></div> +<div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  }</div> +<div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  }</div> +<div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  }</div> +<div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  }</div> +<div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  }</div> +<div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  }</div> +<div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  </div> +<div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  <span class="comment">// Separate reduce layer with multiple axes into multiple reduce layers with 1 axis.</span></div> +<div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>)</div> +<div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  {</div> +<div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  ReduceLayer* baseLayer = PolymorphicDowncast<ReduceLayer*>(&base);</div> +<div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  ReduceDescriptor reduceDescriptor = baseLayer->GetParameters();</div> +<div class="line"><a name="l00661"></a><span class="lineno"> 661</span>  </div> +<div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <span class="keywordflow">if</span> (!reduceDescriptor.m_vAxis.empty() && reduceDescriptor.m_vAxis.size() > 1)</div> +<div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  {</div> +<div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="comment">// Add new layers to the graph and connect them.</span></div> +<div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  std::vector<IConnectableLayer*> layers = ChainReduceLayers<ReduceLayer>(optimizationViews,</div> +<div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  baseLayer,</div> +<div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  reduceDescriptor);</div> +<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  </div> +<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="comment">// Replace existing baselayer with new subgraph.</span></div> +<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  ReplaceLayers<ReduceLayer>(optimizationViews, baseLayer, layers);</div> +<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  }</div> +<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  }</div> +<div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  </div> +<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="comment">// Remove Reshape where possible</span></div> +<div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>)</div> +<div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  {</div> +<div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  ReshapeLayer* baseLayer = PolymorphicDowncast<ReshapeLayer*>(&base);</div> +<div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  </div> +<div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="comment">// Cannot remove a Reshape if it's connected to any layer that has an NCHW layout</span></div> +<div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">ConnectedToLayerWithNCHW</a>(baseLayer))</div> +<div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  {</div> +<div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <span class="keywordflow">continue</span>;</div> +<div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  }</div> +<div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <a class="code" href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">RemoveReshapeLayer</a>(baseLayer, untouched, optimizationViews);</div> +<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  }</div> +<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  </div> +<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="comment">// Special case to fuse padding into average pooling 2d for quantized datatype.</span></div> +<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="comment">// Required to be done as a backend specific optimization as Neon does not support this special case.</span></div> +<div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <span class="keywordflow">if</span> (base.GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">LayerType::Pooling2d</a>)</div> +<div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  {</div> +<div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  Pooling2dLayer* baseLayer = PolymorphicDowncast<Pooling2dLayer*>(&base);</div> +<div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <a class="code" href="namespacearmnn_deserializer.html#a7e75f47f676327bce37149932aa4a011">Pooling2dDescriptor</a> poolingDescriptor = baseLayer->GetParameters();</div> +<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  </div> +<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keywordflow">if</span> (baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">LayerType::Pad</a>)</div> +<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  {</div> +<div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  PadLayer* padLayer = PolymorphicDowncast<PadLayer*>(</div> +<div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  &baseLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetOwningLayer());</div> +<div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keywordflow">if</span> (padLayer->GetOutputSlot(0).GetNumConnections() == 1 &&</div> +<div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <a class="code" href="namespacearmnn_1_1optimizations_1_1pad__fold.html#a33ffc65d1f6581b0789d3d3a033f698e">optimizations::pad_fold::TryFoldPadIntoLayer2d</a>(padLayer->GetParameters(),</div> +<div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  poolingDescriptor,</div> +<div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  padLayer->GetOutputSlot().GetTensorInfo(),</div> +<div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">true</span>))</div> +<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  {</div> +<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  FoldPadIntoAveragePool2d<Pooling2dLayer>(optimizationViews, baseLayer,</div> +<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  poolingDescriptor, padLayer);</div> +<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  untouched.erase(baseLayer->GetGuid());</div> +<div class="line"><a name="l00708"></a><span class="lineno"> 708</span>  untouched.erase(padLayer->GetGuid());</div> +<div class="line"><a name="l00709"></a><span class="lineno"> 709</span>  }</div> +<div class="line"><a name="l00710"></a><span class="lineno"> 710</span>  }</div> +<div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  }</div> +<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  }</div> +<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  </div> +<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keywordflow">if</span> (optimizationViews.GetSubstitutions().empty() && optimizationViews.GetDeletedSubgraphs().empty())</div> +<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  {</div> +<div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  optimizationViews.AddUntouchedSubgraph(SubgraphView(subgraph));</div> +<div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  }</div> +<div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  {</div> +<div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <a class="code" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(optimizationViews, untouched);</div> +<div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  }</div> +<div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  </div> +<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  <span class="keywordflow">return</span> optimizationViews;</div> +<div class="line"><a name="l00724"></a><span class="lineno"> 724</span> }</div> </div><!-- fragment --> -<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::Add</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00048">OptimizationViews::AddUntouchedSubgraph()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00283">SubgraphView::begin()</a>, <a class="el" href="_layer_8hpp_source.html#l00266">Layer::BeginOutputSlots()</a>, <a class="el" href="_cl_addition_workload_8cpp_source.html#l00045">armnn::ClAdditionValidate()</a>, <a class="el" href="_cl_batch_normalization_float_workload_8cpp_source.html#l00019">armnn::ClBatchNormalizationValidate()</a>, <a class="el" href="_cl_convolution2d_workload_8cpp_source.html#l00023">armnn::ClConvolution2dWorkloadValidate()</a>, <a class="el" href="_cl_depthwise_convolution_workload_8cpp_source.html#l00026">armnn::ClDepthwiseConvolutionWorkloadValidate()</a>, <a class="el" href="_cl_division_workload_8cpp_source.html#l00018">armnn::ClDivisionWorkloadValidate()</a>, <a class="el" href="_cl_fully_connected_workload_8cpp_source.html#l00019">armnn::ClFullyConnectedWorkloadValidate()</a>, <a class="el" href="_cl_multiplication_workload_8cpp_source.html#l00018">armnn::ClMultiplicationWorkloadValidate()</a>, <a class="el" href="_cl_subtraction_workload_8cpp_source.html#l00046">armnn::ClSubtractionValidate()</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00250">armnn::ConnectedToLayerWithNCHW()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00247">ClBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::Div</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::ElementwiseBinary</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00288">SubgraphView::end()</a>, <a class="el" href="_layer_8hpp_source.html#l00267">Layer::EndOutputSlots()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="_layer_8hpp_source.html#l00368">Layer::GetAdditionalInformation()</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00061">OptimizationViews::GetDeletedSubgraphs()</a>, <a class="el" href="_layer_8hpp_source.html#l00343">Layer::GetGuid()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_layer_8hpp_source.html#l00158">OutputSlot::GetNumConnections()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters< Parameters >::GetParameters()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00058">OptimizationViews::GetSubstitutions()</a>, <a class="el" href="_layer_8cpp_source.html#l00092">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_cl_backend_model_context_8cpp_source.html#l00066">ClBackendModelContext::IsFastMathEnabled()</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00023">BatchNormalizationLayer::m_Beta</a>, <a class="el" href="_descriptors_8hpp_source.html#l00526">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00582">Convolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00708">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00025">BatchNormalizationLayer::m_Gamma</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00019">BatchNormalizationLayer::m_Mean</a>, <a class="el" href="_descriptors_8hpp_source.html#l00125">ElementwiseBinaryDescriptor::m_Operation</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00021">BatchNormalizationLayer::m_Variance</a>, <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::Mul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00293">armnn::RemoveReshapeLayer()</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00220">armnn::ReportUntouchedLayers()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::Sub</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>, and <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>.</p> +<p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::Activation</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::Add</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::Addition</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00048">OptimizationViews::AddUntouchedSubgraph()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::BatchNormalization</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00286">SubgraphView::begin()</a>, <a class="el" href="_layer_8hpp_source.html#l00266">Layer::BeginOutputSlots()</a>, <a class="el" href="_cl_addition_workload_8cpp_source.html#l00045">armnn::ClAdditionValidate()</a>, <a class="el" href="_cl_batch_normalization_float_workload_8cpp_source.html#l00019">armnn::ClBatchNormalizationValidate()</a>, <a class="el" href="_cl_convolution2d_workload_8cpp_source.html#l00023">armnn::ClConvolution2dWorkloadValidate()</a>, <a class="el" href="_cl_depthwise_convolution_workload_8cpp_source.html#l00026">armnn::ClDepthwiseConvolutionWorkloadValidate()</a>, <a class="el" href="_cl_division_workload_8cpp_source.html#l00018">armnn::ClDivisionWorkloadValidate()</a>, <a class="el" href="_cl_fully_connected_workload_8cpp_source.html#l00019">armnn::ClFullyConnectedWorkloadValidate()</a>, <a class="el" href="_cl_multiplication_workload_8cpp_source.html#l00018">armnn::ClMultiplicationWorkloadValidate()</a>, <a class="el" href="_cl_subtraction_workload_8cpp_source.html#l00046">armnn::ClSubtractionValidate()</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00250">armnn::ConnectedToLayerWithNCHW()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::Convolution2d</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00246">ClBackend::CreateBackendSpecificModelContext()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::DepthwiseConvolution2d</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::Div</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::Division</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::ElementwiseBinary</a>, <a class="el" href="_subgraph_view_8cpp_source.html#l00291">SubgraphView::end()</a>, <a class="el" href="_layer_8hpp_source.html#l00267">Layer::EndOutputSlots()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::FullyConnected</a>, <a class="el" href="_layer_8hpp_source.html#l00368">Layer::GetAdditionalInformation()</a>, <a class="el" href="_layer_8hpp_source.html#l00056">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00061">OptimizationViews::GetDeletedSubgraphs()</a>, <a class="el" href="_layer_8hpp_source.html#l00343">Layer::GetGuid()</a>, <a class="el" href="_layer_8hpp_source.html#l00337">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00332">Layer::GetName()</a>, <a class="el" href="_layer_8hpp_source.html#l00158">OutputSlot::GetNumConnections()</a>, <a class="el" href="_layer_8hpp_source.html#l00339">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00132">OutputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters< Parameters >::GetParameters()</a>, <a class="el" href="_optimization_views_8hpp_source.html#l00058">OptimizationViews::GetSubstitutions()</a>, <a class="el" href="_layer_8cpp_source.html#l00100">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.html#l00286">Layer::GetType()</a>, <a class="el" href="_cl_backend_model_context_8cpp_source.html#l00066">ClBackendModelContext::IsFastMathEnabled()</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00023">BatchNormalizationLayer::m_Beta</a>, <a class="el" href="_descriptors_8hpp_source.html#l00526">FullyConnectedDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00582">Convolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_descriptors_8hpp_source.html#l00708">DepthwiseConvolution2dDescriptor::m_BiasEnabled</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00025">BatchNormalizationLayer::m_Gamma</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00019">BatchNormalizationLayer::m_Mean</a>, <a class="el" href="_descriptors_8hpp_source.html#l00125">ElementwiseBinaryDescriptor::m_Operation</a>, <a class="el" href="_batch_normalization_layer_8hpp_source.html#l00021">BatchNormalizationLayer::m_Variance</a>, <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::Mul</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::Multiplication</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::Pad</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ad662867a41bfb30b9f75dda2b5849001">armnn::Pooling2d</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::Reduce</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00293">armnn::RemoveReshapeLayer()</a>, <a class="el" href="_subgraph_utils_8hpp_source.html#l00220">armnn::ReportUntouchedLayers()</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::Reshape</a>, <a class="el" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::Sub</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::Subtraction</a>, and <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>.</p> </div> </div> @@ -1576,30 +1576,30 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a517bc1a44d6d2d7a45c1847fba287135">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00176">176</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> {</div> -<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> -<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> -<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  {</div> -<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> -<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  }</div> -<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div> -<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> -<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div> -<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  </div> -<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> -<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> -<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>), <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div> -<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div> -<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> -<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> -<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  </div> -<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  registry.RegisterMemoryManager(memoryManager);</div> -<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  registry.RegisterFactory(std::move(factory));</div> -<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  registry.RegisterFactory(std::move(importFactory));</div> -<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  </div> -<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00175">175</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> {</div> +<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> +<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> +<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div> +<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> +<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  }</div> +<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  {</div> +<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> +<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div> +<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  </div> +<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> +<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>), <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>));</div> +<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  </div> +<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> +<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  </div> +<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  registry.RegisterMemoryManager(memoryManager);</div> +<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  registry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  registry.RegisterFactory(std::move(importFactory));</div> +<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  </div> +<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, and <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>.</p> @@ -1649,38 +1649,38 @@ Additional Inherited Members</h2></td></tr> <p>Reimplemented from <a class="el" href="classarmnn_1_1_i_backend_internal.html#a36b46ce669164b5188cb21796557d897">IBackendInternal</a>.</p> -<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00201">201</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> -<div class="fragment"><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> {</div> -<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div> -<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> -<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {</div> -<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  inputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> -<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  }</div> -<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> -<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div> -<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  outputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> -<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div> -<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> -<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> -<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div> -<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> -<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div> -<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  {</div> -<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> -<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  }</div> -<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  </div> -<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> -<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> -<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  inputFlags, outputFlags);</div> -<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  </div> -<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> -<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> -<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  </div> -<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  registry.RegisterMemoryManager(memoryManager);</div> -<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  registry.RegisterFactory(std::move(factory));</div> -<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  registry.RegisterFactory(std::move(importFactory));</div> -<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> }</div> +<p class="definition">Definition at line <a class="el" href="_cl_backend_8cpp_source.html#l00200">200</a> of file <a class="el" href="_cl_backend_8cpp_source.html">ClBackend.cpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> {</div> +<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// To allow force import if inputFlags/outputFlags are Undefined, set it as Malloc</span></div> +<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">if</span> (inputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> +<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div> +<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  inputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> +<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div> +<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keywordflow">if</span> (outputFlags == <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">MemorySource::Undefined</a>))</div> +<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div> +<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  outputFlags = <span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a5b05f3b7208ec7cea3338e30057c0bac">MemorySourceFlags</a><span class="keyword">></span>(<a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">MemorySource::Malloc</a>);</div> +<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  }</div> +<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  std::shared_ptr<ClMemoryManager> memoryManager;</div> +<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">m_UsingCustomAllocator</a>)</div> +<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div> +<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  memoryManager = std::make_shared<ClMemoryManager>(<a class="code" href="classarmnn_1_1_cl_backend.html#af1937f516c364d9d99cb502249e7179d">m_CustomAllocator</a>);</div> +<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div> +<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div> +<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  memoryManager = std::make_shared<ClMemoryManager>(std::make_unique<arm_compute::CLBufferAllocator>());</div> +<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }</div> +<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  </div> +<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::unique_ptr<ITensorHandleFactory> factory = std::make_unique<ClTensorHandleFactory>(memoryManager);</div> +<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::unique_ptr<ITensorHandleFactory> importFactory = std::make_unique<ClImportTensorHandleFactory>(</div> +<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  inputFlags, outputFlags);</div> +<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  </div> +<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  registry.RegisterCopyAndImportFactoryPair(factory->GetId(), importFactory->GetId());</div> +<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  registry.RegisterCopyAndImportFactoryPair(importFactory->GetId(), factory->GetId());</div> +<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  </div> +<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  registry.RegisterMemoryManager(memoryManager);</div> +<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  registry.RegisterFactory(std::move(factory));</div> +<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  registry.RegisterFactory(std::move(importFactory));</div> +<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> }</div> </div><!-- fragment --> <p class="reference">References <a class="el" href="_cl_backend_8hpp_source.html#l00283">ClBackend::m_CustomAllocator</a>, <a class="el" href="_cl_backend_8hpp_source.html#l00284">ClBackend::m_UsingCustomAllocator</a>, <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277a1131a914388fac73e5f07b0ba0aad523">armnn::Malloc</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00066">TensorHandleFactoryRegistry::RegisterCopyAndImportFactoryPair()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry::RegisterFactory()</a>, <a class="el" href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry::RegisterMemoryManager()</a>, and <a class="el" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277aec0fc0100c4fc1ce4eea230c3dc10360">armnn::Undefined</a>.</p> @@ -1764,7 +1764,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_cl_backend_8hpp_source.html#l00283">283</a> of file <a class="el" href="_cl_backend_8hpp_source.html">ClBackend.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_cl_backend_8cpp_source.html#l00051">ClBackend::CreateMemoryManager()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00074">ClBackend::CreateWorkloadFactory()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00176">ClBackend::RegisterTensorHandleFactories()</a>, and <a class="el" href="_cl_backend_8hpp_source.html#l00082">ClBackend::UseCustomMemoryAllocator()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_cl_backend_8cpp_source.html#l00050">ClBackend::CreateMemoryManager()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00073">ClBackend::CreateWorkloadFactory()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00175">ClBackend::RegisterTensorHandleFactories()</a>, and <a class="el" href="_cl_backend_8hpp_source.html#l00082">ClBackend::UseCustomMemoryAllocator()</a>.</p> </div> </div> @@ -1782,7 +1782,7 @@ Additional Inherited Members</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_cl_backend_8hpp_source.html#l00284">284</a> of file <a class="el" href="_cl_backend_8hpp_source.html">ClBackend.hpp</a>.</p> -<p class="reference">Referenced by <a class="el" href="_cl_backend_8cpp_source.html#l00051">ClBackend::CreateMemoryManager()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00074">ClBackend::CreateWorkloadFactory()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00176">ClBackend::RegisterTensorHandleFactories()</a>, and <a class="el" href="_cl_backend_8hpp_source.html#l00082">ClBackend::UseCustomMemoryAllocator()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_cl_backend_8cpp_source.html#l00050">ClBackend::CreateMemoryManager()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00073">ClBackend::CreateWorkloadFactory()</a>, <a class="el" href="_cl_backend_8cpp_source.html#l00175">ClBackend::RegisterTensorHandleFactories()</a>, and <a class="el" href="_cl_backend_8hpp_source.html#l00082">ClBackend::UseCustomMemoryAllocator()</a>.</p> </div> </div> @@ -1798,7 +1798,7 @@ Additional Inherited Members</h2></td></tr> <div class="ttc" id="aclassarmnn_1_1_cl_backend_html_adda2579a4649278c81f18a1d3915b3a0"><div class="ttname"><a href="classarmnn_1_1_cl_backend.html#adda2579a4649278c81f18a1d3915b3a0">armnn::ClBackend::m_UsingCustomAllocator</a></div><div class="ttdeci">bool m_UsingCustomAllocator</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_8hpp_source.html#l00284">ClBackend.hpp:284</a></div></div> <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> <div class="ttc" id="anamespacearmnn_html_afa9933f1d9de469ffba5ba0fcee769f8"><div class="ttname"><a href="namespacearmnn.html#afa9933f1d9de469ffba5ba0fcee769f8">armnn::ClSubtractionValidate</a></div><div class="ttdeci">arm_compute::Status ClSubtractionValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_subtraction_workload_8cpp_source.html#l00046">ClSubtractionWorkload.cpp:46</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_cl_tensor_handle_factory_html_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_cl_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">armnn::ClTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_cl_tensor_handle_factory_8cpp_source.html#l00093">ClTensorHandleFactory.cpp:93</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_cl_tensor_handle_factory_html_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_cl_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">armnn::ClTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_cl_tensor_handle_factory_8cpp_source.html#l00094">ClTensorHandleFactory.cpp:94</a></div></div> <div class="ttc" id="anamespacearmnn_html_a9638165cb6c1baae3b2b5fd9f0f75201"><div class="ttname"><a href="namespacearmnn.html#a9638165cb6c1baae3b2b5fd9f0f75201">armnn::ClMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_multiplication_workload_8cpp_source.html#l00018">ClMultiplicationWorkload.cpp:18</a></div></div> <div class="ttc" id="anamespacearmnn_html_aa9c506b558b8aa33a228b15164f40dc3"><div class="ttname"><a href="namespacearmnn.html#aa9c506b558b8aa33a228b15164f40dc3">armnn::BackendCapabilities</a></div><div class="ttdeci">BackendOptions BackendCapabilities</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00019">BackendOptions.hpp:19</a></div></div> <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div> @@ -1829,9 +1829,9 @@ Additional Inherited Members</h2></td></tr> <div class="ttc" id="anamespacearmnn_html_a29bd65c1ec4ff9f75b636ec8e7b038be"><div class="ttname"><a href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be">armnn::ClBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00019">ClBatchNormalizationFloatWorkload.cpp:19</a></div></div> <div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div> <div class="ttc" id="anamespacearmnn_html_a0591ff61ac269187164ea23713d33852"><div class="ttname"><a href="namespacearmnn.html#a0591ff61ac269187164ea23713d33852">armnn::ClDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status ClDivisionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_division_workload_8cpp_source.html#l00018">ClDivisionWorkload.cpp:18</a></div></div> -<div class="ttc" id="aclassarmnn_1_1_cl_backend_html_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_cl_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::ClBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_8cpp_source.html#l00045">ClBackend.cpp:45</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_cl_backend_html_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_cl_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::ClBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_8cpp_source.html#l00044">ClBackend.cpp:44</a></div></div> <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ade43468adaf6acb2c38ebc0c1176f82f">armnn::LayerType::Pad</a></div><div class="ttdeci">@ Pad</div></div> -<div class="ttc" id="aclassarmnn_1_1_cl_backend_html_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">armnn::ClBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_8cpp_source.html#l00247">ClBackend.cpp:247</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_cl_backend_html_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_cl_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">armnn::ClBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_8cpp_source.html#l00246">ClBackend.cpp:246</a></div></div> <div class="ttc" id="anamespacearmnn_html_adfe10e7086e3e3b98927cf84aee03dd0"><div class="ttname"><a href="namespacearmnn.html#adfe10e7086e3e3b98927cf84aee03dd0">armnn::ClBackendId</a></div><div class="ttdeci">constexpr const char * ClBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_cl_backend_id_8hpp_source.html#l00010">ClBackendId.hpp:10</a></div></div> <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">armnn::IBackendInternal::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00094">IBackendInternal.hpp:94</a></div></div> <div class="ttc" id="anamespacearmnn_html_a5afd10e5e84ebf5cb8cfc8707492eda7"><div class="ttname"><a href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &optimizationViews, std::map< LayerGuid, Layer * > untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00220">SubgraphUtils.hpp:220</a></div></div> @@ -1846,7 +1846,7 @@ Additional Inherited Members</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" 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