IVGCVSW-7968 Update Doxygen docu for 24.02
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8c1e45815c6cf78f80d6f2c0959a5bbba6cd11de
diff --git a/latest/_network_8cpp_source.html b/latest/_network_8cpp_source.html
index 46644de..045b22d 100644
--- a/latest/_network_8cpp_source.html
+++ b/latest/_network_8cpp_source.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">23.11</span>
+  <span id="projectnumber">24.02</span>
</div>
</td>
</tr>
@@ -2004,1239 +2004,1250 @@
<div class="line"><a name="l01906"></a><span class="lineno"> 1906</span>  <a class="code" href="classarmnn_1_1_profiler_manager.html#a93857080c2523bf3395e7aa7e6024d5c">ProfilerManager::GetInstance</a>().<a class="code" href="classarmnn_1_1_profiler_manager.html#a7b1e3e5bf386004541be2b5b22443208">RegisterProfiler</a>(profiler.get());</div>
<div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>  profiler->EnableProfiling(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4527a67076f983e8db3496207d120fb5">GetProfilingEnabled</a>());</div>
<div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>  </div>
-<div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer"</span>);</div>
-<div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  <span class="keywordflow">if</span> (backendPreferences.empty())</div>
-<div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  {</div>
-<div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Invoked Optimize with no backends specified"</span>);</div>
-<div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  }</div>
-<div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  </div>
-<div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div>
-<div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  {</div>
-<div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 optimization is currently ignored. In order to use Bf16 optimization "</span></div>
-<div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  <span class="stringliteral">"Please use the FastMathEnabled backend option for CpuAcc or GpuAcc."</span>);</div>
+<div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>  <span class="comment">// Some backends don't play well together. Check here before continuing.</span></div>
+<div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>  {</div>
+<div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>  std::set<BackendId> backendSet(backendPreferences.begin(), backendPreferences.end());</div>
+<div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>  <span class="comment">// GpuFsa cannot co-exist with GpuAcc.</span></div>
+<div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>  <span class="keywordflow">if</span> (backendSet.find(<span class="stringliteral">"GpuFsa"</span>) != backendSet.end() &&</div>
+<div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>  backendSet.find(<span class="stringliteral">"GpuAcc"</span>) != backendSet.end())</div>
+<div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>  {</div>
+<div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"The backends \"GpuAcc\" and \"GpuFsa\" cannot be specified "</span></div>
+<div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>  <span class="stringliteral">"for the same optimized network."</span>);</div>
+<div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>  }</div>
<div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>  }</div>
<div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>  </div>
-<div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>() && options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div>
-<div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  {</div>
-<div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 and Float16 optimization cannot be enabled at the same time."</span>);</div>
-<div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  }</div>
-<div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  </div>
-<div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  <span class="comment">// Ensure TensorInfo is set on all output slots of ConstantLayers in the graph</span></div>
-<div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  inGraph.<a class="code" href="classarmnn_1_1_graph.html#a6cc2c46f05be1d3bf113d632aed1e496">VerifyConstantLayerSetTensorInfo</a>();</div>
-<div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  </div>
-<div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  std::unique_ptr<Graph> graph = std::make_unique<Graph>(inGraph);</div>
-<div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  </div>
-<div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  <span class="comment">// We need to pass on the information about whether import and export is enabled to the LoadNetwork phase.</span></div>
-<div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  <span class="comment">// The mechanism to do that is to add model options to the optimized network.</span></div>
-<div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  <a class="code" href="structarmnn_1_1_backend_options.html">armnn::BackendOptions</a> importExport(<span class="stringliteral">"Global"</span>,</div>
-<div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  {{<span class="stringliteral">"ImportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>()},</div>
-<div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  {<span class="stringliteral">"ExportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>()}});</div>
-<div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> optimizedOptions(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>());</div>
-<div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  optimizedOptions.push_back(importExport);</div>
-<div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  </div>
-<div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  <span class="keyword">auto</span> optNet = <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>(std::move(graph), optimizedOptions),</div>
-<div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  &<a class="code" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div>
-<div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  </div>
-<div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>* optNetObjPtr = optNet.get();</div>
-<div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  </div>
-<div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  <span class="comment">// Get the optimized graph</span></div>
-<div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& optGraph = optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGraph();</div>
-<div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  </div>
-<div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  <span class="keywordflow">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">ShapeInferenceMethod::InferAndValidate</a>)</div>
-<div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  {</div>
-<div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  <span class="comment">// Infer the tensor infos for all output slots. Throws an exception on failure</span></div>
-<div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>();</div>
-<div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  }</div>
-<div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  </div>
-<div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  <span class="comment">// Perform BroadcastToOptimizationLayer and then AddBroadcastReshapeLayer optimisation</span></div>
-<div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  <span class="keyword">using namespace </span>optimizations;</div>
-<div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">BroadcastToOptimizationLayer</a>()));</div>
-<div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  </div>
-<div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a4fc55afb4885278ad1510b2c4307af76">AddBroadcastReshapeLayer</a>()));</div>
+<div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer"</span>);</div>
+<div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>  <span class="keywordflow">if</span> (backendPreferences.empty())</div>
+<div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>  {</div>
+<div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Invoked Optimize with no backends specified"</span>);</div>
+<div class="line"><a name="l01925"></a><span class="lineno"> 1925</span>  }</div>
+<div class="line"><a name="l01926"></a><span class="lineno"> 1926</span>  </div>
+<div class="line"><a name="l01927"></a><span class="lineno"> 1927</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div>
+<div class="line"><a name="l01928"></a><span class="lineno"> 1928</span>  {</div>
+<div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 optimization is currently ignored. In order to use Bf16 optimization "</span></div>
+<div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>  <span class="stringliteral">"Please use the FastMathEnabled backend option for CpuAcc or GpuAcc."</span>);</div>
+<div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>  }</div>
+<div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>  </div>
+<div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>() && options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a41297bcbc0f576cba32fabcdb2f893b8">GetReduceFp32ToBf16</a>())</div>
+<div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>  {</div>
+<div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"BFloat16 and Float16 optimization cannot be enabled at the same time."</span>);</div>
+<div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>  }</div>
+<div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>  </div>
+<div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>  <span class="comment">// Ensure TensorInfo is set on all output slots of ConstantLayers in the graph</span></div>
+<div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>  inGraph.<a class="code" href="classarmnn_1_1_graph.html#a6cc2c46f05be1d3bf113d632aed1e496">VerifyConstantLayerSetTensorInfo</a>();</div>
+<div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>  </div>
+<div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>  std::unique_ptr<Graph> graph = std::make_unique<Graph>(inGraph);</div>
+<div class="line"><a name="l01942"></a><span class="lineno"> 1942</span>  </div>
+<div class="line"><a name="l01943"></a><span class="lineno"> 1943</span>  <span class="comment">// We need to pass on the information about whether import and export is enabled to the LoadNetwork phase.</span></div>
+<div class="line"><a name="l01944"></a><span class="lineno"> 1944</span>  <span class="comment">// The mechanism to do that is to add model options to the optimized network.</span></div>
+<div class="line"><a name="l01945"></a><span class="lineno"> 1945</span>  <a class="code" href="structarmnn_1_1_backend_options.html">armnn::BackendOptions</a> importExport(<span class="stringliteral">"Global"</span>,</div>
+<div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>  {{<span class="stringliteral">"ImportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>()},</div>
+<div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>  {<span class="stringliteral">"ExportEnabled"</span>, options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>()}});</div>
+<div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>  <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a> optimizedOptions(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>());</div>
+<div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>  optimizedOptions.push_back(importExport);</div>
+<div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>  </div>
+<div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>  <span class="keyword">auto</span> optNet = <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>(std::move(graph), optimizedOptions),</div>
+<div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>  &<a class="code" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div>
+<div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>  </div>
+<div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.html">IOptimizedNetwork</a>* optNetObjPtr = optNet.get();</div>
+<div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>  </div>
+<div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>  <span class="comment">// Get the optimized graph</span></div>
+<div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>  <a class="code" href="classarmnn_1_1_graph.html">Graph</a>& optGraph = optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->GetGraph();</div>
<div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>  </div>
-<div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  <span class="keywordflow">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div>
+<div class="line"><a name="l01959"></a><span class="lineno"> 1959</span>  <span class="keywordflow">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">ShapeInferenceMethod::InferAndValidate</a>)</div>
<div class="line"><a name="l01960"></a><span class="lineno"> 1960</span>  {</div>
-<div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  <span class="comment">// Validate the tensor infos for all output slots. Throws an exception on failure</span></div>
+<div class="line"><a name="l01961"></a><span class="lineno"> 1961</span>  <span class="comment">// Infer the tensor infos for all output slots. Throws an exception on failure</span></div>
<div class="line"><a name="l01962"></a><span class="lineno"> 1962</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>();</div>
<div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>  }</div>
<div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>  </div>
-<div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  </div>
-<div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="comment">// Group Constant Layer optimizations together where possible.</span></div>
-<div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  <span class="comment">// This is important as:</span></div>
-<div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  <span class="comment">// FusePermuteIntoConstantLayer must happen before FoldPadIntoDepthwiseConvolution2d and</span></div>
-<div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  <span class="comment">// FuseBatchNormIntoDepthwiseConvolution2D.</span></div>
-<div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  <span class="comment">// ConvertConstDequantisationLayersToConstLayers must happen before FoldPadIntoConvolution2d</span></div>
-<div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#ad668074369437a111649f51296ff8959">FusePermuteIntoConstLayer</a>(),</div>
-<div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a4dfbdc8cc90b67e74eccd146d977ff66">ConvertConstDequantisationLayersToConstLayers</a>()));</div>
-<div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  <span class="comment">// Perform optimisation passes</span></div>
-<div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a64ddffb38fbe5b78ec92b753cd4bd0ba">SquashEqualPermuteSiblings</a>(),</div>
-<div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aba7b0ca6192b8b58ecd517a82b4f378e">SquashEqualTransposeSiblings</a>(),</div>
-<div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a29f8d97b2d74f99c88298881cd1d825b">SquashEqualReshapeSiblings</a>(),</div>
-<div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aa31127c77d2117f78d43ca2958dcae19">OptimizeInversePermutes</a>(),</div>
-<div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a2f9d1a13be2ac1c4213729a0ef181fc0">OptimizeInverseTransposes</a>(),</div>
-<div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aafc70d5af99400ff5ea7991825658b2f">MovePermuteUp</a>(),</div>
-<div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a5918588fa316cf4c23f1cf02c81ee706">MoveTransposeUp</a>(),</div>
-<div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ae0b1382e3af141896a46531c50e8863f">PermuteAsReshape</a>(),</div>
-<div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ad1aaeee71293f34d9f65d2dd2792830d">TransposeAsReshape</a>(),</div>
-<div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8341ca3512ebafb19d60eba44d40d9e4">OptimizeConsecutiveReshapes</a>(),</div>
-<div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8b394ff60ed829a91f07deac476f3db2">FoldPadIntoConvolution2d</a>(),</div>
-<div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a227e9ab5e488aa90ba462790ba0e5aec">FoldPadIntoDepthwiseConvolution2d</a>(),</div>
-<div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a279d0a7c56966cea334303d48a874964">FoldPadIntoPooling2d</a>(),</div>
-<div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">BroadcastToOptimizationLayer</a>(),</div>
-<div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a17d1279f5f8e3b92c328b1ed3b6fd549">PermuteAndBatchToSpaceAsDepthToSpace</a>(),</div>
-<div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a98f54d4391347d517c7a7869e7707203">TransposeAndBatchToSpaceAsDepthToSpace</a>(),</div>
-<div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aa52c06792e18dc13030e82476f706f9e">FuseBatchNormIntoConvolution2DFloat32</a>(),</div>
-<div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8a81178ddcebb93ec0c35b6e6284273c">FuseBatchNormIntoConvolution2DFloat16</a>(),</div>
-<div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a56e54a818166a2f4b2c1a7f76a3629ff">FuseBatchNormIntoDepthwiseConvolution2DFloat32</a>(),</div>
-<div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ab40bb51feca46649eb9d00522bfe51f6">FuseBatchNormIntoDepthwiseConvolution2DFloat16</a>()));</div>
-<div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  </div>
-<div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  </div>
-<div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <span class="comment">// Initialize backend settings</span></div>
-<div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a> backendSettings(backendPreferences, deviceSpec);</div>
-<div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  <span class="keyword">auto</span> availablePreferredBackends = backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>();</div>
-<div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  <span class="keywordflow">if</span> (availablePreferredBackends.empty())</div>
-<div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  {</div>
-<div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  std::stringstream failureMsg;</div>
-<div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  failureMsg << <span class="stringliteral">"None of the preferred backends "</span> << backendPreferences</div>
-<div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  << <span class="stringliteral">" are supported. Current platform provides "</span> << backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#a0b160952af61b24d88125d66ed6d43c1">m_SupportedBackends</a>;</div>
-<div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), messages);</div>
-<div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(failureMsg.str());</div>
-<div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  }</div>
-<div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  </div>
-<div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  <span class="comment">// Create a map to temporarily hold initialized backend objects</span></div>
-<div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> tensorHandleFactoryRegistry;</div>
-<div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends = <a class="code" href="namespacearmnn.html#a1ec6b4c20ed294a96cf94c33c24caaf5">CreateSupportedBackends</a>(tensorHandleFactoryRegistry, backendSettings);</div>
-<div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  </div>
-<div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>())</div>
-<div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  {</div>
-<div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  <span class="keywordtype">bool</span> hasFp16 = <a class="code" href="namespacearmnn.html#aa52ce4f1fab044ad0c73f9613e2ef6ce">CheckFp16Support</a>(backends, availablePreferredBackends);</div>
-<div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  <span class="keywordflow">if</span> (hasFp16)</div>
-<div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  {</div>
-<div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ReduceFp32ToFp16"</span>);</div>
-<div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a86d19da62b6cfed3928f6fe7026f22fa">Fp32NetworkToFp16Converter</a>()));</div>
-<div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div>
-<div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  }</div>
-<div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  }</div>
+<div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>  <span class="comment">// Perform BroadcastToOptimizationLayer and then AddBroadcastReshapeLayer optimisation</span></div>
+<div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>  <span class="keyword">using namespace </span>optimizations;</div>
+<div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">BroadcastToOptimizationLayer</a>()));</div>
+<div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>  </div>
+<div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a4fc55afb4885278ad1510b2c4307af76">AddBroadcastReshapeLayer</a>()));</div>
+<div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>  </div>
+<div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>  <span class="keywordflow">if</span>(options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">GetShapeInferenceMethod</a>() == <a class="code" href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9af6486a22a9bb11959bfae60a3e5174b1">ShapeInferenceMethod::ValidateOnly</a>)</div>
+<div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>  {</div>
+<div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>  <span class="comment">// Validate the tensor infos for all output slots. Throws an exception on failure</span></div>
+<div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">InferTensorInfos</a>();</div>
+<div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>  }</div>
+<div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>  </div>
+<div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>  </div>
+<div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>  <span class="comment">// Group Constant Layer optimizations together where possible.</span></div>
+<div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>  <span class="comment">// This is important as:</span></div>
+<div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>  <span class="comment">// FusePermuteIntoConstantLayer must happen before FoldPadIntoDepthwiseConvolution2d and</span></div>
+<div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>  <span class="comment">// FuseBatchNormIntoDepthwiseConvolution2D.</span></div>
+<div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>  <span class="comment">// ConvertConstDequantisationLayersToConstLayers must happen before FoldPadIntoConvolution2d</span></div>
+<div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#ad668074369437a111649f51296ff8959">FusePermuteIntoConstLayer</a>(),</div>
+<div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a4dfbdc8cc90b67e74eccd146d977ff66">ConvertConstDequantisationLayersToConstLayers</a>()));</div>
+<div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>  <span class="comment">// Perform optimisation passes</span></div>
+<div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a64ddffb38fbe5b78ec92b753cd4bd0ba">SquashEqualPermuteSiblings</a>(),</div>
+<div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aba7b0ca6192b8b58ecd517a82b4f378e">SquashEqualTransposeSiblings</a>(),</div>
+<div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a29f8d97b2d74f99c88298881cd1d825b">SquashEqualReshapeSiblings</a>(),</div>
+<div class="line"><a name="l01989"></a><span class="lineno"> 1989</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aa31127c77d2117f78d43ca2958dcae19">OptimizeInversePermutes</a>(),</div>
+<div class="line"><a name="l01990"></a><span class="lineno"> 1990</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a2f9d1a13be2ac1c4213729a0ef181fc0">OptimizeInverseTransposes</a>(),</div>
+<div class="line"><a name="l01991"></a><span class="lineno"> 1991</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aafc70d5af99400ff5ea7991825658b2f">MovePermuteUp</a>(),</div>
+<div class="line"><a name="l01992"></a><span class="lineno"> 1992</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a5918588fa316cf4c23f1cf02c81ee706">MoveTransposeUp</a>(),</div>
+<div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ae0b1382e3af141896a46531c50e8863f">PermuteAsReshape</a>(),</div>
+<div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ad1aaeee71293f34d9f65d2dd2792830d">TransposeAsReshape</a>(),</div>
+<div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8341ca3512ebafb19d60eba44d40d9e4">OptimizeConsecutiveReshapes</a>(),</div>
+<div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8b394ff60ed829a91f07deac476f3db2">FoldPadIntoConvolution2d</a>(),</div>
+<div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a227e9ab5e488aa90ba462790ba0e5aec">FoldPadIntoDepthwiseConvolution2d</a>(),</div>
+<div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a279d0a7c56966cea334303d48a874964">FoldPadIntoPooling2d</a>(),</div>
+<div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">BroadcastToOptimizationLayer</a>(),</div>
+<div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a17d1279f5f8e3b92c328b1ed3b6fd549">PermuteAndBatchToSpaceAsDepthToSpace</a>(),</div>
+<div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a98f54d4391347d517c7a7869e7707203">TransposeAndBatchToSpaceAsDepthToSpace</a>(),</div>
+<div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#aa52c06792e18dc13030e82476f706f9e">FuseBatchNormIntoConvolution2DFloat32</a>(),</div>
+<div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a8a81178ddcebb93ec0c35b6e6284273c">FuseBatchNormIntoConvolution2DFloat16</a>(),</div>
+<div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#a56e54a818166a2f4b2c1a7f76a3629ff">FuseBatchNormIntoDepthwiseConvolution2DFloat32</a>(),</div>
+<div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ab40bb51feca46649eb9d00522bfe51f6">FuseBatchNormIntoDepthwiseConvolution2DFloat16</a>()));</div>
+<div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>  </div>
+<div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>  <span class="comment">// Initialize backend settings</span></div>
+<div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>  <a class="code" href="structarmnn_1_1_backend_settings.html">BackendSettings</a> backendSettings(backendPreferences, deviceSpec);</div>
+<div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>  <span class="keyword">auto</span> availablePreferredBackends = backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#ad4ca579528452c669b45f3f35300fd4e">GetAvailablePreferredBackends</a>();</div>
+<div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>  <span class="keywordflow">if</span> (availablePreferredBackends.empty())</div>
+<div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>  {</div>
+<div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>  std::stringstream failureMsg;</div>
+<div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>  failureMsg << <span class="stringliteral">"None of the preferred backends "</span> << backendPreferences</div>
+<div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>  << <span class="stringliteral">" are supported. Current platform provides "</span> << backendSettings.<a class="code" href="structarmnn_1_1_backend_settings.html#a0b160952af61b24d88125d66ed6d43c1">m_SupportedBackends</a>;</div>
+<div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>  <a class="code" href="namespacearmnn.html#a3cf1cee98e0ed8b54263ec7279f6ec69">ReportError</a>(failureMsg.str(), messages);</div>
+<div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(failureMsg.str());</div>
+<div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>  }</div>
+<div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>  </div>
+<div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>  <span class="comment">// Create a map to temporarily hold initialized backend objects</span></div>
+<div class="line"><a name="l02020"></a><span class="lineno"> 2020</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a> tensorHandleFactoryRegistry;</div>
+<div class="line"><a name="l02021"></a><span class="lineno"> 2021</span>  <a class="code" href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">BackendsMap</a> backends = <a class="code" href="namespacearmnn.html#a1ec6b4c20ed294a96cf94c33c24caaf5">CreateSupportedBackends</a>(tensorHandleFactoryRegistry, backendSettings);</div>
<div class="line"><a name="l02022"></a><span class="lineno"> 2022</span>  </div>
-<div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  <span class="comment">// Assign an available backend to each layer</span></div>
-<div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> firstLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2387033802383edbdc95f9bbb12a707e">begin</a>();</div>
-<div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> lastLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.html#ab45dae688fc5d8983727abffa4389003">end</a>();</div>
-<div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> assignBackendsResult = <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>.get(),</div>
-<div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  backendSettings,</div>
-<div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  firstLayer,</div>
-<div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  lastLayer,</div>
-<div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  messages);</div>
-<div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>  <span class="keywordflow">if</span> (assignBackendsResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
-<div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>  {</div>
-<div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  <span class="comment">// Failed to assign a backend to each layer</span></div>
-<div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Failed to assign a backend to each layer"</span>);</div>
-<div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  }</div>
-<div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  </div>
-<div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a1a9d718b48612b5817a3c369f9fd71ee">OptimizeInverseConversionsFp16</a>(),</div>
-<div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ae1509d340bc981b11101c3316ee8afd6">OptimizeInverseConversionsFp32</a>()));</div>
-<div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  </div>
-<div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>  <span class="comment">// Apply the backend-specific optimizations</span></div>
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-<div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>  backendSettings,</div>
-<div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>  backends,</div>
-<div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>(),</div>
-<div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  messages);</div>
-<div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>  <span class="keywordflow">if</span> (backendOptimizationResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
-<div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>  {</div>
-<div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>  <span class="comment">// Failed to apply the backend-specific optimizations</span></div>
-<div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Failed to apply the backend-specific optimizations"</span>);</div>
-<div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>  }</div>
-<div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>  </div>
-<div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>  <span class="comment">// Convert constants</span></div>
-<div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>  {</div>
-<div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ConvertConstants"</span>);</div>
-<div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div>
-<div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a06cac66872538895dd6b59cdf39173d2">ConvertConstantsHalfToFloat</a>()));</div>
-<div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>  }</div>
-<div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>  </div>
-<div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>  <span class="comment">// This must occur after all topological changes to the graph and any redirection of variables</span></div>
-<div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>  <span class="comment">// If the debug flag is set, then insert a DebugLayer after each layer</span></div>
-<div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>  <span class="comment">// Doing this after applying the backend optimizations as they might have changed some layers</span></div>
-<div class="line"><a name="l02062"></a><span class="lineno"> 2062</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0">GetDebugEnabled</a>() && !options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</div>
-<div class="line"><a name="l02063"></a><span class="lineno"> 2063</span>  {</div>
-<div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#aa76c76565125ad77092403176d74fd85">InsertDebugLayer</a>()));</div>
-<div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  }</div>
-<div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</div>
-<div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  {</div>
-<div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>  <span class="comment">// Setup the output file path</span></div>
-<div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>  <span class="keywordflow">try</span></div>
-<div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>  {</div>
-<div class="line"><a name="l02071"></a><span class="lineno"> 2071</span> <span class="preprocessor">#if !defined(ARMNN_DISABLE_FILESYSTEM)</span></div>
-<div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>  <span class="keyword">auto</span> result = <a class="code" href="namespacearmnn_utils_1_1_filesystem.html#a0477efb2c6f5b41fbfe937fef6db312d">armnnUtils::Filesystem::CreateDirectory</a>(<span class="stringliteral">"/ArmNNIntermediateLayerOutputs"</span>);</div>
-<div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"Intermediate tensors will be written to: "</span> << result;</div>
-<div class="line"><a name="l02074"></a><span class="lineno"> 2074</span> <span class="preprocessor">#endif</span></div>
-<div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a9c0a3a9a388a01bc21e20a16e70055f0">InsertDebugToFileLayer</a>()));</div>
-<div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>  }</div>
-<div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a>& e)</div>
-<div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>  {</div>
-<div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>  <span class="comment">// If we cannot create the output directory then we'll issue a warning and continue.</span></div>
-<div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"Unable to print intermediate layer outputs : "</span> << e.<a class="code" href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">what</a>();</div>
-<div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  }</div>
-<div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>  }</div>
-<div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  </div>
-<div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  <span class="comment">// Calculate the compatibility strategies for tensor handles</span></div>
-<div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> strategyResult = <a class="code" href="namespacearmnn.html#acbf7c9a630f03ece800f807d946239ab">SelectTensorHandleStrategy</a>(optGraph,</div>
-<div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  backends,</div>
-<div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  tensorHandleFactoryRegistry,</div>
-<div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>(),</div>
-<div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>(),</div>
-<div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>  messages);</div>
-<div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>  </div>
-<div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>  <span class="keywordflow">if</span> (strategyResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
-<div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>  {</div>
-<div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>  <span class="comment">// Failed to apply the backend-specific optimizations</span></div>
-<div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">nullptr</span>, &<a class="code" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div>
-<div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>  }</div>
-<div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  </div>
-<div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  <span class="comment">// Based on the tensor handle strategy determined above, insert copy layers where required.</span></div>
-<div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  {</div>
-<div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AddCompatibilityLayers"</span>);</div>
-<div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#ad1bbee7bf5f93b792675886f57d3ebe0">AddCompatibilityLayers</a>(backends, tensorHandleFactoryRegistry);</div>
-<div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>  }</div>
-<div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>  </div>
-<div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  <span class="keywordflow">return</span> optNet;</div>
-<div class="line"><a name="l02105"></a><span class="lineno"> 2105</span> }</div>
-<div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>  </div>
-<div class="line"><a name="l02107"></a><span class="lineno"> 2107</span> <span class="comment">// Forwarding function to remain backward compatible with legacy OptimizerOptions</span></div>
-<div class="line"><a name="l02108"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab7116c24a003e722c09c86a2f5cf1a37"> 2108</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>& inNetwork,</div>
-<div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
-<div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div>
-<div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.html">OptimizerOptions</a>& options,</div>
-<div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</div>
-<div class="line"><a name="l02113"></a><span class="lineno"> 2113</span> {</div>
-<div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork,</div>
-<div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>  backendPreferences,</div>
-<div class="line"><a name="l02116"></a><span class="lineno"> 2116</span>  deviceSpec,</div>
-<div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>(options),</div>
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-<div class="line"><a name="l02119"></a><span class="lineno"> 2119</span> }</div>
-<div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>  </div>
-<div class="line"><a name="l02121"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c"> 2121</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>& inNetwork,</div>
-<div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
-<div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div>
-<div class="line"><a name="l02124"></a><span class="lineno"> 2124</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>& options,</div>
-<div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</div>
-<div class="line"><a name="l02126"></a><span class="lineno"> 2126</span> {</div>
-<div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork.<a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->GetGraph(),</div>
-<div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  backendPreferences,</div>
-<div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  deviceSpec,</div>
-<div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>  options,</div>
-<div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>  messages);</div>
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-<div class="line"><a name="l02134"></a><span class="lineno"> 2134</span> <span class="keywordtype">bool</span> NetworkImpl::GetShapeInferenceMethod()</div>
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-<div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  <a class="code" href="namespacearmnn.html#af457790132251cde6545072d879c7684">ParseOptions</a>(m_NetworkOptions, <span class="stringliteral">"ShapeInferenceMethod"</span>, [&](std::string name, <span class="keyword">const</span> BackendOptions::Var& value)</div>
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-<div class="line"><a name="l02148"></a><span class="lineno"> 2148</span> <span class="keywordtype">bool</span> NetworkImpl::GetAllowExpandedDims()</div>
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-<div class="line"><a name="l02163"></a><span class="lineno"> 2163</span> : m_NetworkOptions(networkOptions),</div>
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+<div class="line"><a name="l02023"></a><span class="lineno"> 2023</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a70dc46a7e4105cf24df5a5bb58ae07a5">GetReduceFp32ToFp16</a>())</div>
+<div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>  {</div>
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+<div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>  <span class="keywordflow">if</span> (hasFp16)</div>
+<div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>  {</div>
+<div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ReduceFp32ToFp16"</span>);</div>
+<div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a86d19da62b6cfed3928f6fe7026f22fa">Fp32NetworkToFp16Converter</a>()));</div>
+<div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div>
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+<div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>  }</div>
+<div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>  </div>
+<div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>  <span class="comment">// Assign an available backend to each layer</span></div>
+<div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> firstLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.html#a2387033802383edbdc95f9bbb12a707e">begin</a>();</div>
+<div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>  <a class="code" href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">Graph::Iterator</a> lastLayer = optGraph.<a class="code" href="classarmnn_1_1_graph.html#ab45dae688fc5d8983727abffa4389003">end</a>();</div>
+<div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> assignBackendsResult = <a class="code" href="namespacearmnn.html#a839ad76f1f52a70b540805b231f05d9c">AssignBackends</a>(optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>.get(),</div>
+<div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>  backendSettings,</div>
+<div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>  firstLayer,</div>
+<div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>  lastLayer,</div>
+<div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>  messages);</div>
+<div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>  <span class="keywordflow">if</span> (assignBackendsResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
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+<div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>  <span class="comment">// Failed to assign a backend to each layer</span></div>
+<div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Failed to assign a backend to each layer"</span>);</div>
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+<div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>  </div>
+<div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a1a9d718b48612b5817a3c369f9fd71ee">OptimizeInverseConversionsFp16</a>(),</div>
+<div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>  <a class="code" href="namespacearmnn_1_1optimizations.html#ae1509d340bc981b11101c3316ee8afd6">OptimizeInverseConversionsFp32</a>()));</div>
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+<div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> backendOptimizationResult = <a class="code" href="namespacearmnn.html#ac39f2b15d34d3e2fc74d586fc3e26231">ApplyBackendOptimizations</a>(optNetObjPtr-><a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>.get(),</div>
+<div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>  backendSettings,</div>
+<div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>  backends,</div>
+<div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#aac024dacf704e6933d1a6b18d5330738">GetModelOptions</a>(),</div>
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+<div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>  <span class="keywordflow">if</span> (backendOptimizationResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
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+<div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Failed to apply the backend-specific optimizations"</span>);</div>
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+<div class="line"><a name="l02064"></a><span class="lineno"> 2064</span>  {</div>
+<div class="line"><a name="l02065"></a><span class="lineno"> 2065</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_ConvertConstants"</span>);</div>
+<div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae">ConvertConstantsFloatToHalf</a>()));</div>
+<div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a06cac66872538895dd6b59cdf39173d2">ConvertConstantsHalfToFloat</a>()));</div>
+<div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>  }</div>
+<div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>  </div>
+<div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>  <span class="comment">// This must occur after all topological changes to the graph and any redirection of variables</span></div>
+<div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>  <span class="comment">// If the debug flag is set, then insert a DebugLayer after each layer</span></div>
+<div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>  <span class="comment">// Doing this after applying the backend optimizations as they might have changed some layers</span></div>
+<div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>  <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0">GetDebugEnabled</a>() && !options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</div>
+<div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>  {</div>
+<div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#aa76c76565125ad77092403176d74fd85">InsertDebugLayer</a>()));</div>
+<div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>  }</div>
+<div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">GetDebugToFileEnabled</a>())</div>
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+<div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>  <span class="comment">// Setup the output file path</span></div>
+<div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>  <span class="keywordflow">try</span></div>
+<div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>  {</div>
+<div class="line"><a name="l02082"></a><span class="lineno"> 2082</span> <span class="preprocessor">#if !defined(ARMNN_DISABLE_FILESYSTEM)</span></div>
+<div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>  <span class="keyword">auto</span> result = <a class="code" href="namespacearmnn_utils_1_1_filesystem.html#a0477efb2c6f5b41fbfe937fef6db312d">armnnUtils::Filesystem::CreateDirectory</a>(<span class="stringliteral">"/ArmNNIntermediateLayerOutputs"</span>);</div>
+<div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>) << <span class="stringliteral">"Intermediate tensors will be written to: "</span> << result;</div>
+<div class="line"><a name="l02085"></a><span class="lineno"> 2085</span> <span class="preprocessor">#endif</span></div>
+<div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">Optimizer::Pass</a>(optGraph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#a9c0a3a9a388a01bc21e20a16e70055f0">InsertDebugToFileLayer</a>()));</div>
+<div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>  }</div>
+<div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>  <span class="keywordflow">catch</span> (<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a>& e)</div>
+<div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>  {</div>
+<div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>  <span class="comment">// If we cannot create the output directory then we'll issue a warning and continue.</span></div>
+<div class="line"><a name="l02091"></a><span class="lineno"> 2091</span>  <a class="code" href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">warning</a>) << <span class="stringliteral">"Unable to print intermediate layer outputs : "</span> << e.<a class="code" href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">what</a>();</div>
+<div class="line"><a name="l02092"></a><span class="lineno"> 2092</span>  }</div>
+<div class="line"><a name="l02093"></a><span class="lineno"> 2093</span>  }</div>
+<div class="line"><a name="l02094"></a><span class="lineno"> 2094</span>  </div>
+<div class="line"><a name="l02095"></a><span class="lineno"> 2095</span>  <span class="comment">// Calculate the compatibility strategies for tensor handles</span></div>
+<div class="line"><a name="l02096"></a><span class="lineno"> 2096</span>  <a class="code" href="structarmnn_1_1_optimization_result.html">OptimizationResult</a> strategyResult = <a class="code" href="namespacearmnn.html#acbf7c9a630f03ece800f807d946239ab">SelectTensorHandleStrategy</a>(optGraph,</div>
+<div class="line"><a name="l02097"></a><span class="lineno"> 2097</span>  backends,</div>
+<div class="line"><a name="l02098"></a><span class="lineno"> 2098</span>  tensorHandleFactoryRegistry,</div>
+<div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">GetImportEnabled</a>(),</div>
+<div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>  options.<a class="code" href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">GetExportEnabled</a>(),</div>
+<div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>  messages);</div>
+<div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>  </div>
+<div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>  <span class="keywordflow">if</span> (strategyResult.<a class="code" href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">m_Error</a>)</div>
+<div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>  {</div>
+<div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>  <span class="comment">// Failed to apply the backend-specific optimizations</span></div>
+<div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a>(<span class="keyword">nullptr</span>, &<a class="code" href="classarmnn_1_1_i_optimized_network.html#a58ee539cf95c1e99fe4f54ef6e8bbd05">IOptimizedNetwork::Destroy</a>);</div>
+<div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>  }</div>
+<div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>  </div>
+<div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>  <span class="comment">// Based on the tensor handle strategy determined above, insert copy layers where required.</span></div>
+<div class="line"><a name="l02110"></a><span class="lineno"> 2110</span>  {</div>
+<div class="line"><a name="l02111"></a><span class="lineno"> 2111</span>  <a class="code" href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">Compute::Undefined</a>, <span class="stringliteral">"Optimizer_AddCompatibilityLayers"</span>);</div>
+<div class="line"><a name="l02112"></a><span class="lineno"> 2112</span>  optGraph.<a class="code" href="classarmnn_1_1_graph.html#ad1bbee7bf5f93b792675886f57d3ebe0">AddCompatibilityLayers</a>(backends, tensorHandleFactoryRegistry);</div>
+<div class="line"><a name="l02113"></a><span class="lineno"> 2113</span>  }</div>
+<div class="line"><a name="l02114"></a><span class="lineno"> 2114</span>  </div>
+<div class="line"><a name="l02115"></a><span class="lineno"> 2115</span>  <span class="keywordflow">return</span> optNet;</div>
+<div class="line"><a name="l02116"></a><span class="lineno"> 2116</span> }</div>
+<div class="line"><a name="l02117"></a><span class="lineno"> 2117</span>  </div>
+<div class="line"><a name="l02118"></a><span class="lineno"> 2118</span> <span class="comment">// Forwarding function to remain backward compatible with legacy OptimizerOptions</span></div>
+<div class="line"><a name="l02119"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab7116c24a003e722c09c86a2f5cf1a37"> 2119</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>& inNetwork,</div>
+<div class="line"><a name="l02120"></a><span class="lineno"> 2120</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
+<div class="line"><a name="l02121"></a><span class="lineno"> 2121</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div>
+<div class="line"><a name="l02122"></a><span class="lineno"> 2122</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_optimizer_options.html">OptimizerOptions</a>& options,</div>
+<div class="line"><a name="l02123"></a><span class="lineno"> 2123</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</div>
+<div class="line"><a name="l02124"></a><span class="lineno"> 2124</span> {</div>
+<div class="line"><a name="l02125"></a><span class="lineno"> 2125</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork,</div>
+<div class="line"><a name="l02126"></a><span class="lineno"> 2126</span>  backendPreferences,</div>
+<div class="line"><a name="l02127"></a><span class="lineno"> 2127</span>  deviceSpec,</div>
+<div class="line"><a name="l02128"></a><span class="lineno"> 2128</span>  <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>(options),</div>
+<div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  messages);</div>
+<div class="line"><a name="l02130"></a><span class="lineno"> 2130</span> }</div>
+<div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>  </div>
+<div class="line"><a name="l02132"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c"> 2132</a></span> <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_network.html">INetwork</a>& inNetwork,</div>
+<div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  <span class="keyword">const</span> std::vector<BackendId>& backendPreferences,</div>
+<div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_device_spec.html">IDeviceSpec</a>& deviceSpec,</div>
+<div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimizer_options_opaque.html">OptimizerOptionsOpaque</a>& options,</div>
+<div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional</a><std::vector<std::string>&> messages)</div>
+<div class="line"><a name="l02137"></a><span class="lineno"> 2137</span> {</div>
+<div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">Optimize</a>(inNetwork.<a class="code" href="classarmnn_1_1_i_network.html#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->GetGraph(),</div>
+<div class="line"><a name="l02139"></a><span class="lineno"> 2139</span>  backendPreferences,</div>
+<div class="line"><a name="l02140"></a><span class="lineno"> 2140</span>  deviceSpec,</div>
+<div class="line"><a name="l02141"></a><span class="lineno"> 2141</span>  options,</div>
+<div class="line"><a name="l02142"></a><span class="lineno"> 2142</span>  messages);</div>
+<div class="line"><a name="l02143"></a><span class="lineno"> 2143</span> }</div>
+<div class="line"><a name="l02144"></a><span class="lineno"> 2144</span>  </div>
+<div class="line"><a name="l02145"></a><span class="lineno"> 2145</span> <span class="keywordtype">bool</span> NetworkImpl::GetShapeInferenceMethod()</div>
+<div class="line"><a name="l02146"></a><span class="lineno"> 2146</span> {</div>
+<div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  <span class="keywordtype">bool</span> shapeInferenceMethod = <span class="keyword">false</span>;</div>
+<div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  </div>
+<div class="line"><a name="l02149"></a><span class="lineno"> 2149</span>  <a class="code" href="namespacearmnn.html#af457790132251cde6545072d879c7684">ParseOptions</a>(m_NetworkOptions, <span class="stringliteral">"ShapeInferenceMethod"</span>, [&](std::string name, <span class="keyword">const</span> BackendOptions::Var& value)</div>
+<div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  {</div>
+<div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  <span class="keywordflow">if</span> (name == <span class="stringliteral">"InferAndValidate"</span>)</div>
+<div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  {</div>
+<div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  shapeInferenceMethod |= value.AsBool();</div>
+<div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  }</div>
+<div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  });</div>
+<div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>  <span class="keywordflow">return</span> shapeInferenceMethod;</div>
+<div class="line"><a name="l02157"></a><span class="lineno"> 2157</span> }</div>
+<div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>  </div>
+<div class="line"><a name="l02159"></a><span class="lineno"> 2159</span> <span class="keywordtype">bool</span> NetworkImpl::GetAllowExpandedDims()</div>
+<div class="line"><a name="l02160"></a><span class="lineno"> 2160</span> {</div>
+<div class="line"><a name="l02161"></a><span class="lineno"> 2161</span>  <span class="keywordtype">bool</span> allowExpandedDims = <span class="keyword">false</span>;</div>
+<div class="line"><a name="l02162"></a><span class="lineno"> 2162</span>  </div>
+<div class="line"><a name="l02163"></a><span class="lineno"> 2163</span>  <a class="code" href="namespacearmnn.html#af457790132251cde6545072d879c7684">ParseOptions</a>(m_NetworkOptions, <span class="stringliteral">"AllowExpandedDims"</span>, [&](std::string name, <span class="keyword">const</span> BackendOptions::Var& value)</div>
+<div class="line"><a name="l02164"></a><span class="lineno"> 2164</span>  {</div>
+<div class="line"><a name="l02165"></a><span class="lineno"> 2165</span>  <span class="keywordflow">if</span> (name == <span class="stringliteral">"AllowExpandedDims"</span>)</div>
+<div class="line"><a name="l02166"></a><span class="lineno"> 2166</span>  {</div>
+<div class="line"><a name="l02167"></a><span class="lineno"> 2167</span>  allowExpandedDims |= value.AsBool();</div>
+<div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  }</div>
+<div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  });</div>
+<div class="line"><a name="l02170"></a><span class="lineno"> 2170</span>  <span class="keywordflow">return</span> allowExpandedDims;</div>
+<div class="line"><a name="l02171"></a><span class="lineno"> 2171</span> }</div>
+<div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  </div>
+<div class="line"><a name="l02173"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a1ba03515c88a4c042bffa446d306caf0"> 2173</a></span> <a class="code" href="classarmnn_1_1_network_impl.html#a1ba03515c88a4c042bffa446d306caf0">NetworkImpl::NetworkImpl</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a4de71c3661093e5c4ae7775114f43413">NetworkOptions</a>& networkOptions)</div>
+<div class="line"><a name="l02174"></a><span class="lineno"> 2174</span> : m_NetworkOptions(networkOptions),</div>
+<div class="line"><a name="l02175"></a><span class="lineno"> 2175</span>  m_Graph(<a class="code" href="namespacestd.html">std</a>::make_unique<<a class="code" href="classarmnn_1_1_graph.html">Graph</a>>(GetShapeInferenceMethod(), GetAllowExpandedDims()))</div>
+<div class="line"><a name="l02176"></a><span class="lineno"> 2176</span> {}</div>
+<div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  </div>
+<div class="line"><a name="l02178"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ad443897d51b291c83d81d809af07f4e0"> 2178</a></span> <a class="code" href="classarmnn_1_1_network_impl.html#ad443897d51b291c83d81d809af07f4e0">NetworkImpl::~NetworkImpl</a>()</div>
+<div class="line"><a name="l02179"></a><span class="lineno"> 2179</span> {</div>
<div class="line"><a name="l02180"></a><span class="lineno"> 2180</span> }</div>
<div class="line"><a name="l02181"></a><span class="lineno"> 2181</span>  </div>
-<div class="line"><a name="l02182"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088"> 2182</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088">NetworkImpl::AddBatchToSpaceNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>& batchToSpaceNdDescriptor,</div>
-<div class="line"><a name="l02183"></a><span class="lineno"> 2183</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02184"></a><span class="lineno"> 2184</span> {</div>
-<div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">BatchToSpaceNdLayer</a>>(batchToSpaceNdDescriptor, name);</div>
+<div class="line"><a name="l02182"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aff3fde909d22ed157046682e70129259"> 2182</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">Status</a> <a class="code" href="classarmnn_1_1_network_impl.html#aff3fde909d22ed157046682e70129259">NetworkImpl::PrintGraph</a>()</div>
+<div class="line"><a name="l02183"></a><span class="lineno"> 2183</span> {</div>
+<div class="line"><a name="l02184"></a><span class="lineno"> 2184</span>  m_Graph->Print();</div>
+<div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Status::Success</a>;</div>
<div class="line"><a name="l02186"></a><span class="lineno"> 2186</span> }</div>
<div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  </div>
-<div class="line"><a name="l02188"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a72f7f58c37d9d856fcb648b5fa68cf59"> 2188</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a72f7f58c37d9d856fcb648b5fa68cf59">NetworkImpl::AddCastLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02188"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aa6c1c42ea44777302e87ce0fad5ac510"> 2188</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aa6c1c42ea44777302e87ce0fad5ac510">NetworkImpl::AddInputLayer</a>(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02189"></a><span class="lineno"> 2189</span> {</div>
-<div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_cast_layer.html">CastLayer</a>>(name);</div>
+<div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_input_layer.html">InputLayer</a>>(id, name);</div>
<div class="line"><a name="l02191"></a><span class="lineno"> 2191</span> }</div>
-<div class="line"><a name="l02192"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a5c58d2b496d24e637f613af857aa3c3d"> 2192</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a5c58d2b496d24e637f613af857aa3c3d">NetworkImpl::AddChannelShuffleLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a>& channelShuffleDescriptor,</div>
-<div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02194"></a><span class="lineno"> 2194</span> {</div>
-<div class="line"><a name="l02195"></a><span class="lineno"> 2195</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_channel_shuffle_layer.html">ChannelShuffleLayer</a>>(channelShuffleDescriptor, name);</div>
-<div class="line"><a name="l02196"></a><span class="lineno"> 2196</span> }</div>
-<div class="line"><a name="l02197"></a><span class="lineno"> 2197</span>  </div>
-<div class="line"><a name="l02198"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ac7dca3e9f2ab2f2c64b42fc59a67188a"> 2198</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ac7dca3e9f2ab2f2c64b42fc59a67188a">NetworkImpl::AddComparisonLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_comparison_descriptor.html">ComparisonDescriptor</a>& comparisonDescriptor,</div>
-<div class="line"><a name="l02199"></a><span class="lineno"> 2199</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>  </div>
+<div class="line"><a name="l02193"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088"> 2193</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088">NetworkImpl::AddBatchToSpaceNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>& batchToSpaceNdDescriptor,</div>
+<div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02195"></a><span class="lineno"> 2195</span> {</div>
+<div class="line"><a name="l02196"></a><span class="lineno"> 2196</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">BatchToSpaceNdLayer</a>>(batchToSpaceNdDescriptor, name);</div>
+<div class="line"><a name="l02197"></a><span class="lineno"> 2197</span> }</div>
+<div class="line"><a name="l02198"></a><span class="lineno"> 2198</span>  </div>
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<div class="line"><a name="l02200"></a><span class="lineno"> 2200</span> {</div>
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+<div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_cast_layer.html">CastLayer</a>>(name);</div>
<div class="line"><a name="l02202"></a><span class="lineno"> 2202</span> }</div>
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-<div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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-<div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02203"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a5c58d2b496d24e637f613af857aa3c3d"> 2203</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a5c58d2b496d24e637f613af857aa3c3d">NetworkImpl::AddChannelShuffleLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_channel_shuffle_descriptor.html">ChannelShuffleDescriptor</a>& channelShuffleDescriptor,</div>
+<div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02219"></a><span class="lineno"> 2219</span> }</div>
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+<div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02225"></a><span class="lineno"> 2225</span> }</div>
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+<div class="line"><a name="l02228"></a><span class="lineno"> 2228</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02230"></a><span class="lineno"> 2230</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_fill_layer.html">FillLayer</a>>(fillDescriptor, name);</div>
+<div class="line"><a name="l02231"></a><span class="lineno"> 2231</span> }</div>
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+<div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02235"></a><span class="lineno"> 2235</span> {</div>
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+<div class="line"><a name="l02237"></a><span class="lineno"> 2237</span> }</div>
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+<div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02241"></a><span class="lineno"> 2241</span> {</div>
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+<div class="line"><a name="l02243"></a><span class="lineno"> 2243</span> }</div>
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<div class="line"><a name="l02247"></a><span class="lineno"> 2247</span> {</div>
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+<div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_concat_layer.html">ConcatLayer</a>>(concatDescriptor, name);</div>
<div class="line"><a name="l02249"></a><span class="lineno"> 2249</span> }</div>
<div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  </div>
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-<div class="line"><a name="l02257"></a><span class="lineno"> 2257</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02253"></a><span class="lineno"> 2253</span> {</div>
+<div class="line"><a name="l02254"></a><span class="lineno"> 2254</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convolution2d_layer.html">Convolution2dLayer</a>>(convolution2dDescriptor, name);</div>
+<div class="line"><a name="l02255"></a><span class="lineno"> 2255</span> }</div>
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<div class="line"><a name="l02258"></a><span class="lineno"> 2258</span> {</div>
-<div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a>>(convolution3dDescriptor, name);</div>
+<div class="line"><a name="l02259"></a><span class="lineno"> 2259</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">ConvertFp16ToFp32Layer</a>>(name);</div>
<div class="line"><a name="l02260"></a><span class="lineno"> 2260</span> }</div>
<div class="line"><a name="l02261"></a><span class="lineno"> 2261</span>  </div>
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-<div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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-<div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& anchors, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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-<div class="line"><a name="l02278"></a><span class="lineno"> 2278</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_detection_post_process_layer.html">DetectionPostProcessLayer</a>>(descriptor, name);</div>
-<div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  </div>
-<div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>  layer-><a class="code" href="classarmnn_1_1_detection_post_process_layer.html#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> = std::make_shared<ScopedTensorHandle>(anchors);</div>
-<div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>  </div>
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-<div class="line"><a name="l02284"></a><span class="lineno"> 2284</span>  </div>
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-<div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02287"></a><span class="lineno"> 2287</span> {</div>
-<div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_permute_layer.html">PermuteLayer</a>>(permuteDescriptor, name);</div>
-<div class="line"><a name="l02289"></a><span class="lineno"> 2289</span> }</div>
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+<div class="line"><a name="l02263"></a><span class="lineno"> 2263</span> {</div>
+<div class="line"><a name="l02264"></a><span class="lineno"> 2264</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">ConvertFp32ToFp16Layer</a>>(name);</div>
+<div class="line"><a name="l02265"></a><span class="lineno"> 2265</span> }</div>
+<div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  </div>
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+<div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_convolution3d_layer.html">Convolution3dLayer</a>>(convolution3dDescriptor, name);</div>
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+<div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02275"></a><span class="lineno"> 2275</span> {</div>
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+<div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a>>(convolution2dDescriptor, name);</div>
+<div class="line"><a name="l02284"></a><span class="lineno"> 2284</span> }</div>
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+<div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& anchors, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02288"></a><span class="lineno"> 2288</span> {</div>
+<div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_detection_post_process_layer.html">DetectionPostProcessLayer</a>>(descriptor, name);</div>
<div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>  </div>
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-<div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02293"></a><span class="lineno"> 2293</span> {</div>
-<div class="line"><a name="l02294"></a><span class="lineno"> 2294</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pooling2d_layer.html">Pooling2dLayer</a>>(pooling2dDescriptor, name);</div>
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-<div class="line"><a name="l02298"></a><span class="lineno"> 2298</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02299"></a><span class="lineno"> 2299</span> {</div>
-<div class="line"><a name="l02300"></a><span class="lineno"> 2300</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pooling3d_layer.html">Pooling3dLayer</a>>(pooling3dDescriptor, name);</div>
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-<div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02305"></a><span class="lineno"> 2305</span> {</div>
-<div class="line"><a name="l02306"></a><span class="lineno"> 2306</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_activation_layer.html">ActivationLayer</a>>(activationDescriptor, name);</div>
-<div class="line"><a name="l02307"></a><span class="lineno"> 2307</span> }</div>
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-<div class="line"><a name="l02309"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#adc8c1c505bca8233fe238b3b7fb80200"> 2309</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#adc8c1c505bca8233fe238b3b7fb80200">NetworkImpl::AddArgMinMaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_arg_min_max_descriptor.html">ArgMinMaxDescriptor</a>& argMinMaxDescriptor,</div>
-<div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02311"></a><span class="lineno"> 2311</span> {</div>
-<div class="line"><a name="l02312"></a><span class="lineno"> 2312</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_arg_min_max_layer.html">ArgMinMaxLayer</a>>(argMinMaxDescriptor, name);</div>
-<div class="line"><a name="l02313"></a><span class="lineno"> 2313</span> }</div>
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-<div class="line"><a name="l02316"></a><span class="lineno"> 2316</span> normalizationDescriptor,</div>
-<div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02318"></a><span class="lineno"> 2318</span> {</div>
-<div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_normalization_layer.html">NormalizationLayer</a>>(normalizationDescriptor, name);</div>
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+<div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>  layer-><a class="code" href="classarmnn_1_1_detection_post_process_layer.html#a6dc8f4e1c0a2109b2a8412251c2cf7b0">m_Anchors</a> = std::make_shared<ScopedTensorHandle>(anchors);</div>
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+<div class="line"><a name="l02303"></a><span class="lineno"> 2303</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02307"></a><span class="lineno"> 2307</span>  </div>
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+<div class="line"><a name="l02309"></a><span class="lineno"> 2309</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02315"></a><span class="lineno"> 2315</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_activation_layer.html">ActivationLayer</a>>(activationDescriptor, name);</div>
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+<div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02322"></a><span class="lineno"> 2322</span> {</div>
+<div class="line"><a name="l02323"></a><span class="lineno"> 2323</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_arg_min_max_layer.html">ArgMinMaxLayer</a>>(argMinMaxDescriptor, name);</div>
+<div class="line"><a name="l02324"></a><span class="lineno"> 2324</span> }</div>
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+<div class="line"><a name="l02327"></a><span class="lineno"> 2327</span> normalizationDescriptor,</div>
<div class="line"><a name="l02328"></a><span class="lineno"> 2328</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02329"></a><span class="lineno"> 2329</span> {</div>
-<div class="line"><a name="l02330"></a><span class="lineno"> 2330</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_softmax_layer.html">SoftmaxLayer</a>>(softmaxDescriptor, name);</div>
+<div class="line"><a name="l02330"></a><span class="lineno"> 2330</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_normalization_layer.html">NormalizationLayer</a>>(normalizationDescriptor, name);</div>
<div class="line"><a name="l02331"></a><span class="lineno"> 2331</span> }</div>
<div class="line"><a name="l02332"></a><span class="lineno"> 2332</span>  </div>
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-<div class="line"><a name="l02334"></a><span class="lineno"> 2334</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02335"></a><span class="lineno"> 2335</span> {</div>
-<div class="line"><a name="l02336"></a><span class="lineno"> 2336</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_splitter_layer.html">SplitterLayer</a>>(splitterDescriptor, name);</div>
-<div class="line"><a name="l02337"></a><span class="lineno"> 2337</span> }</div>
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+<div class="line"><a name="l02333"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a8de6b047fcaff95df48dca683e1f3aa4"> 2333</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a8de6b047fcaff95df48dca683e1f3aa4">NetworkImpl::AddSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_slice_descriptor.html">SliceDescriptor</a>& sliceDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02334"></a><span class="lineno"> 2334</span> {</div>
+<div class="line"><a name="l02335"></a><span class="lineno"> 2335</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_slice_layer.html">SliceLayer</a>>(sliceDescriptor, name);</div>
+<div class="line"><a name="l02336"></a><span class="lineno"> 2336</span> }</div>
+<div class="line"><a name="l02337"></a><span class="lineno"> 2337</span>  </div>
+<div class="line"><a name="l02338"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a30528a3bd85a0dba158bd14e252bd68a"> 2338</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a30528a3bd85a0dba158bd14e252bd68a">NetworkImpl::AddSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">SoftmaxDescriptor</a>& softmaxDescriptor,</div>
+<div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02340"></a><span class="lineno"> 2340</span> {</div>
-<div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_maximum_layer.html">MaximumLayer</a>>(name);</div>
+<div class="line"><a name="l02341"></a><span class="lineno"> 2341</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_softmax_layer.html">SoftmaxLayer</a>>(softmaxDescriptor, name);</div>
<div class="line"><a name="l02342"></a><span class="lineno"> 2342</span> }</div>
<div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>  </div>
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-<div class="line"><a name="l02345"></a><span class="lineno"> 2345</span> {</div>
-<div class="line"><a name="l02346"></a><span class="lineno"> 2346</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_minimum_layer.html">MinimumLayer</a>>(name);</div>
-<div class="line"><a name="l02347"></a><span class="lineno"> 2347</span> }</div>
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-<div class="line"><a name="l02350"></a><span class="lineno"> 2350</span> {</div>
-<div class="line"><a name="l02351"></a><span class="lineno"> 2351</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_addition_layer.html">AdditionLayer</a>>(name);</div>
-<div class="line"><a name="l02352"></a><span class="lineno"> 2352</span> }</div>
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-<div class="line"><a name="l02354"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#abb59f6ba9988dae88e0f48e68d87fc32"> 2354</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#abb59f6ba9988dae88e0f48e68d87fc32">NetworkImpl::AddMultiplicationLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02355"></a><span class="lineno"> 2355</span> {</div>
-<div class="line"><a name="l02356"></a><span class="lineno"> 2356</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_multiplication_layer.html">MultiplicationLayer</a>>(name);</div>
-<div class="line"><a name="l02357"></a><span class="lineno"> 2357</span> }</div>
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-<div class="line"><a name="l02359"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af5790069aa11fd1c5bb2e17cecb06528"> 2359</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af5790069aa11fd1c5bb2e17cecb06528">NetworkImpl::AddOutputLayer</a>(<a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> <span class="keywordtype">id</span>, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02360"></a><span class="lineno"> 2360</span> {</div>
-<div class="line"><a name="l02361"></a><span class="lineno"> 2361</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_output_layer.html">OutputLayer</a>>(id, name);</div>
-<div class="line"><a name="l02362"></a><span class="lineno"> 2362</span> }</div>
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-<div class="line"><a name="l02365"></a><span class="lineno"> 2365</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& mean,</div>
-<div class="line"><a name="l02366"></a><span class="lineno"> 2366</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& variance,</div>
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-<div class="line"><a name="l02368"></a><span class="lineno"> 2368</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& gamma,</div>
-<div class="line"><a name="l02369"></a><span class="lineno"> 2369</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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-<div class="line"><a name="l02371"></a><span class="lineno"> 2371</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_normalization_layer.html">BatchNormalizationLayer</a>>(desc, name);</div>
-<div class="line"><a name="l02372"></a><span class="lineno"> 2372</span>  </div>
-<div class="line"><a name="l02373"></a><span class="lineno"> 2373</span>  layer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a> = std::make_shared<ScopedTensorHandle>(mean);</div>
-<div class="line"><a name="l02374"></a><span class="lineno"> 2374</span>  layer->m_Variance = std::make_shared<ScopedTensorHandle>(variance);</div>
-<div class="line"><a name="l02375"></a><span class="lineno"> 2375</span>  layer->m_Beta = std::make_shared<ScopedTensorHandle>(beta);</div>
-<div class="line"><a name="l02376"></a><span class="lineno"> 2376</span>  layer->m_Gamma = std::make_shared<ScopedTensorHandle>(gamma);</div>
-<div class="line"><a name="l02377"></a><span class="lineno"> 2377</span>  </div>
-<div class="line"><a name="l02378"></a><span class="lineno"> 2378</span>  <span class="keywordflow">return</span> layer;</div>
-<div class="line"><a name="l02379"></a><span class="lineno"> 2379</span> }</div>
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-<div class="line"><a name="l02381"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a25563024ec66627ee83727244a53e944"> 2381</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a25563024ec66627ee83727244a53e944">NetworkImpl::AddRankLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02382"></a><span class="lineno"> 2382</span> {</div>
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-<div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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+<div class="line"><a name="l02385"></a><span class="lineno"> 2385</span>  layer->m_Variance = std::make_shared<ScopedTensorHandle>(variance);</div>
+<div class="line"><a name="l02386"></a><span class="lineno"> 2386</span>  layer->m_Beta = std::make_shared<ScopedTensorHandle>(beta);</div>
+<div class="line"><a name="l02387"></a><span class="lineno"> 2387</span>  layer->m_Gamma = std::make_shared<ScopedTensorHandle>(gamma);</div>
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+<div class="line"><a name="l02389"></a><span class="lineno"> 2389</span>  <span class="keywordflow">return</span> layer;</div>
<div class="line"><a name="l02390"></a><span class="lineno"> 2390</span> }</div>
<div class="line"><a name="l02391"></a><span class="lineno"> 2391</span>  </div>
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<div class="line"><a name="l02393"></a><span class="lineno"> 2393</span> {</div>
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+<div class="line"><a name="l02394"></a><span class="lineno"> 2394</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_rank_layer.html">RankLayer</a>>(name);</div>
<div class="line"><a name="l02395"></a><span class="lineno"> 2395</span> }</div>
<div class="line"><a name="l02396"></a><span class="lineno"> 2396</span>  </div>
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-<div class="line"><a name="l02398"></a><span class="lineno"> 2398</span> {</div>
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-<div class="line"><a name="l02403"></a><span class="lineno"> 2403</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
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<div class="line"><a name="l02404"></a><span class="lineno"> 2404</span> {</div>
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+<div class="line"><a name="l02405"></a><span class="lineno"> 2405</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_resize_layer.html">ResizeLayer</a>>(resizeDescriptor, name);</div>
<div class="line"><a name="l02406"></a><span class="lineno"> 2406</span> }</div>
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+<div class="line"><a name="l02413"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#abd61d3e7ab67551c75bc219bbc4baeb5"> 2413</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#abd61d3e7ab67551c75bc219bbc4baeb5">NetworkImpl::AddInstanceNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_instance_normalization_descriptor.html">InstanceNormalizationDescriptor</a>& desc,</div>
+<div class="line"><a name="l02414"></a><span class="lineno"> 2414</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02415"></a><span class="lineno"> 2415</span> {</div>
+<div class="line"><a name="l02416"></a><span class="lineno"> 2416</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_instance_normalization_layer.html">InstanceNormalizationLayer</a>>(desc, name);</div>
+<div class="line"><a name="l02417"></a><span class="lineno"> 2417</span> }</div>
+<div class="line"><a name="l02418"></a><span class="lineno"> 2418</span>  </div>
+<div class="line"><a name="l02419"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaff51346dadec2c1430abf007fed4cc9"> 2419</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaff51346dadec2c1430abf007fed4cc9">NetworkImpl::AddL2NormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_l2_normalization_descriptor.html">L2NormalizationDescriptor</a>& desc,</div>
+<div class="line"><a name="l02420"></a><span class="lineno"> 2420</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02421"></a><span class="lineno"> 2421</span> {</div>
-<div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_constant_layer.html">ConstantLayer</a>>(name);</div>
-<div class="line"><a name="l02423"></a><span class="lineno"> 2423</span>  </div>
-<div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  layer-><a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a> = std::make_shared<ScopedTensorHandle>(input);</div>
-<div class="line"><a name="l02425"></a><span class="lineno"> 2425</span>  </div>
-<div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  <span class="keywordflow">return</span> layer;</div>
-<div class="line"><a name="l02427"></a><span class="lineno"> 2427</span> }</div>
-<div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  </div>
-<div class="line"><a name="l02429"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a8a3380be13fba749fc4208214b049347"> 2429</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a8a3380be13fba749fc4208214b049347">NetworkImpl::AddReshapeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a>& reshapeDescriptor,</div>
-<div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02431"></a><span class="lineno"> 2431</span> {</div>
-<div class="line"><a name="l02432"></a><span class="lineno"> 2432</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reshape_layer.html">ReshapeLayer</a>>(reshapeDescriptor, name);</div>
-<div class="line"><a name="l02433"></a><span class="lineno"> 2433</span> }</div>
+<div class="line"><a name="l02422"></a><span class="lineno"> 2422</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_l2_normalization_layer.html">L2NormalizationLayer</a>>(desc, name);</div>
+<div class="line"><a name="l02423"></a><span class="lineno"> 2423</span> }</div>
+<div class="line"><a name="l02424"></a><span class="lineno"> 2424</span>  </div>
+<div class="line"><a name="l02425"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a83b33973ca12078166b2436b313627b9"> 2425</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a83b33973ca12078166b2436b313627b9">NetworkImpl::AddLogSoftmaxLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_softmax_descriptor.html">LogSoftmaxDescriptor</a>& desc,</div>
+<div class="line"><a name="l02426"></a><span class="lineno"> 2426</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02427"></a><span class="lineno"> 2427</span> {</div>
+<div class="line"><a name="l02428"></a><span class="lineno"> 2428</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_log_softmax_layer.html">LogSoftmaxLayer</a>>(desc, name);</div>
+<div class="line"><a name="l02429"></a><span class="lineno"> 2429</span> }</div>
+<div class="line"><a name="l02430"></a><span class="lineno"> 2430</span>  </div>
+<div class="line"><a name="l02431"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a1aa567f46c30960851c02847dc7b4215"> 2431</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a1aa567f46c30960851c02847dc7b4215">NetworkImpl::AddConstantLayer</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& input, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02432"></a><span class="lineno"> 2432</span> {</div>
+<div class="line"><a name="l02433"></a><span class="lineno"> 2433</span>  <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_constant_layer.html">ConstantLayer</a>>(name);</div>
<div class="line"><a name="l02434"></a><span class="lineno"> 2434</span>  </div>
-<div class="line"><a name="l02435"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d"> 2435</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d">NetworkImpl::AddSpaceToBatchNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div>
-<div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02437"></a><span class="lineno"> 2437</span> {</div>
-<div class="line"><a name="l02438"></a><span class="lineno"> 2438</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_batch_nd_layer.html">SpaceToBatchNdLayer</a>>(spaceToBatchNdDescriptor, name);</div>
-<div class="line"><a name="l02439"></a><span class="lineno"> 2439</span> }</div>
-<div class="line"><a name="l02440"></a><span class="lineno"> 2440</span>  </div>
-<div class="line"><a name="l02441"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5"> 2441</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5">NetworkImpl::AddSpaceToDepthLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div>
-<div class="line"><a name="l02442"></a><span class="lineno"> 2442</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02443"></a><span class="lineno"> 2443</span> {</div>
-<div class="line"><a name="l02444"></a><span class="lineno"> 2444</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_depth_layer.html">SpaceToDepthLayer</a>>(spaceToDepthDescriptor, name);</div>
-<div class="line"><a name="l02445"></a><span class="lineno"> 2445</span> }</div>
-<div class="line"><a name="l02446"></a><span class="lineno"> 2446</span>  </div>
-<div class="line"><a name="l02447"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1"> 2447</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1">NetworkImpl::AddFloorLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02435"></a><span class="lineno"> 2435</span>  layer-><a class="code" href="classarmnn_1_1_constant_layer.html#ad0c4b8ee0efd8f9336571cbeab8a53fe">m_LayerOutput</a> = std::make_shared<ScopedTensorHandle>(input);</div>
+<div class="line"><a name="l02436"></a><span class="lineno"> 2436</span>  </div>
+<div class="line"><a name="l02437"></a><span class="lineno"> 2437</span>  <span class="keywordflow">return</span> layer;</div>
+<div class="line"><a name="l02438"></a><span class="lineno"> 2438</span> }</div>
+<div class="line"><a name="l02439"></a><span class="lineno"> 2439</span>  </div>
+<div class="line"><a name="l02440"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a8a3380be13fba749fc4208214b049347"> 2440</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a8a3380be13fba749fc4208214b049347">NetworkImpl::AddReshapeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_reshape_descriptor.html">ReshapeDescriptor</a>& reshapeDescriptor,</div>
+<div class="line"><a name="l02441"></a><span class="lineno"> 2441</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02442"></a><span class="lineno"> 2442</span> {</div>
+<div class="line"><a name="l02443"></a><span class="lineno"> 2443</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reshape_layer.html">ReshapeLayer</a>>(reshapeDescriptor, name);</div>
+<div class="line"><a name="l02444"></a><span class="lineno"> 2444</span> }</div>
+<div class="line"><a name="l02445"></a><span class="lineno"> 2445</span>  </div>
+<div class="line"><a name="l02446"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d"> 2446</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d">NetworkImpl::AddSpaceToBatchNdLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.html">SpaceToBatchNdDescriptor</a>& spaceToBatchNdDescriptor,</div>
+<div class="line"><a name="l02447"></a><span class="lineno"> 2447</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02448"></a><span class="lineno"> 2448</span> {</div>
-<div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_floor_layer.html">FloorLayer</a>>(name);</div>
+<div class="line"><a name="l02449"></a><span class="lineno"> 2449</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_batch_nd_layer.html">SpaceToBatchNdLayer</a>>(spaceToBatchNdDescriptor, name);</div>
<div class="line"><a name="l02450"></a><span class="lineno"> 2450</span> }</div>
<div class="line"><a name="l02451"></a><span class="lineno"> 2451</span>  </div>
-<div class="line"><a name="l02452"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0a2fdd4f442952c97a8f24de6700473a"> 2452</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0a2fdd4f442952c97a8f24de6700473a">NetworkImpl::AddLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>& descriptor,</div>
-<div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div>
-<div class="line"><a name="l02454"></a><span class="lineno"> 2454</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02455"></a><span class="lineno"> 2455</span> {</div>
-<div class="line"><a name="l02456"></a><span class="lineno"> 2456</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_lstm_layer.html">LstmLayer</a>>(descriptor, name);</div>
+<div class="line"><a name="l02452"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5"> 2452</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5">NetworkImpl::AddSpaceToDepthLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">SpaceToDepthDescriptor</a>& spaceToDepthDescriptor,</div>
+<div class="line"><a name="l02453"></a><span class="lineno"> 2453</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02454"></a><span class="lineno"> 2454</span> {</div>
+<div class="line"><a name="l02455"></a><span class="lineno"> 2455</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_space_to_depth_layer.html">SpaceToDepthLayer</a>>(spaceToDepthDescriptor, name);</div>
+<div class="line"><a name="l02456"></a><span class="lineno"> 2456</span> }</div>
<div class="line"><a name="l02457"></a><span class="lineno"> 2457</span>  </div>
-<div class="line"><a name="l02458"></a><span class="lineno"> 2458</span>  <span class="comment">//Lstm Basic Parameters</span></div>
-<div class="line"><a name="l02459"></a><span class="lineno"> 2459</span>  layer-><a class="code" href="classarmnn_1_1_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
-<div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
-<div class="line"><a name="l02461"></a><span class="lineno"> 2461</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
-<div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
-<div class="line"><a name="l02463"></a><span class="lineno"> 2463</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
-<div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
-<div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
-<div class="line"><a name="l02466"></a><span class="lineno"> 2466</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
-<div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
-<div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
-<div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
-<div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
-<div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
-<div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
-<div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  layer->m_BasicParameters.m_CellBias =</div>
-<div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
-<div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
-<div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
-<div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  </div>
-<div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  <span class="comment">//Lstm Cifg parameters</span></div>
-<div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  {</div>
-<div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  {</div>
-<div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input To Input Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
-<div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  }</div>
-<div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  {</div>
-<div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div>
-<div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>  <span class="stringliteral">"AddLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
-<div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  }</div>
-<div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02458"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1"> 2458</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1">NetworkImpl::AddFloorLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02459"></a><span class="lineno"> 2459</span> {</div>
+<div class="line"><a name="l02460"></a><span class="lineno"> 2460</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_floor_layer.html">FloorLayer</a>>(name);</div>
+<div class="line"><a name="l02461"></a><span class="lineno"> 2461</span> }</div>
+<div class="line"><a name="l02462"></a><span class="lineno"> 2462</span>  </div>
+<div class="line"><a name="l02463"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0a2fdd4f442952c97a8f24de6700473a"> 2463</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0a2fdd4f442952c97a8f24de6700473a">NetworkImpl::AddLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">LstmDescriptor</a>& descriptor,</div>
+<div class="line"><a name="l02464"></a><span class="lineno"> 2464</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div>
+<div class="line"><a name="l02465"></a><span class="lineno"> 2465</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02466"></a><span class="lineno"> 2466</span> {</div>
+<div class="line"><a name="l02467"></a><span class="lineno"> 2467</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_lstm_layer.html">LstmLayer</a>>(descriptor, name);</div>
+<div class="line"><a name="l02468"></a><span class="lineno"> 2468</span>  </div>
+<div class="line"><a name="l02469"></a><span class="lineno"> 2469</span>  <span class="comment">//Lstm Basic Parameters</span></div>
+<div class="line"><a name="l02470"></a><span class="lineno"> 2470</span>  layer-><a class="code" href="classarmnn_1_1_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
+<div class="line"><a name="l02471"></a><span class="lineno"> 2471</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
+<div class="line"><a name="l02472"></a><span class="lineno"> 2472</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
+<div class="line"><a name="l02473"></a><span class="lineno"> 2473</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
+<div class="line"><a name="l02474"></a><span class="lineno"> 2474</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
+<div class="line"><a name="l02475"></a><span class="lineno"> 2475</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
+<div class="line"><a name="l02476"></a><span class="lineno"> 2476</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
+<div class="line"><a name="l02477"></a><span class="lineno"> 2477</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
+<div class="line"><a name="l02478"></a><span class="lineno"> 2478</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
+<div class="line"><a name="l02479"></a><span class="lineno"> 2479</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
+<div class="line"><a name="l02480"></a><span class="lineno"> 2480</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
+<div class="line"><a name="l02481"></a><span class="lineno"> 2481</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
+<div class="line"><a name="l02482"></a><span class="lineno"> 2482</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
+<div class="line"><a name="l02483"></a><span class="lineno"> 2483</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
+<div class="line"><a name="l02484"></a><span class="lineno"> 2484</span>  layer->m_BasicParameters.m_CellBias =</div>
+<div class="line"><a name="l02485"></a><span class="lineno"> 2485</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
+<div class="line"><a name="l02486"></a><span class="lineno"> 2486</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
+<div class="line"><a name="l02487"></a><span class="lineno"> 2487</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
+<div class="line"><a name="l02488"></a><span class="lineno"> 2488</span>  </div>
+<div class="line"><a name="l02489"></a><span class="lineno"> 2489</span>  <span class="comment">//Lstm Cifg parameters</span></div>
+<div class="line"><a name="l02490"></a><span class="lineno"> 2490</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
+<div class="line"><a name="l02491"></a><span class="lineno"> 2491</span>  {</div>
+<div class="line"><a name="l02492"></a><span class="lineno"> 2492</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02493"></a><span class="lineno"> 2493</span>  {</div>
-<div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input Gate Bias cannot be NULL "</span></div>
+<div class="line"><a name="l02494"></a><span class="lineno"> 2494</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input To Input Weights cannot be NULL "</span></div>
<div class="line"><a name="l02495"></a><span class="lineno"> 2495</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02496"></a><span class="lineno"> 2496</span>  }</div>
-<div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
-<div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
-<div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
-<div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
-<div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  layer->m_CifgParameters.m_InputGateBias =</div>
-<div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
-<div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  }</div>
-<div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  </div>
-<div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>  <span class="comment">//Lstm projection parameters</span></div>
-<div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
-<div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>  {</div>
-<div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  {</div>
-<div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Projection Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  <span class="stringliteral">"when projection is enabled."</span>);</div>
-<div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  }</div>
-<div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
-<div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
-<div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  {</div>
-<div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
-<div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
-<div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>  }</div>
-<div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>  }</div>
-<div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>  </div>
-<div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>  <span class="comment">//Lstm Peephole params</span></div>
-<div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
-<div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>  {</div>
-<div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>  {</div>
-<div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  {</div>
-<div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Input Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  <span class="stringliteral">"when Peephole is enabled and CIFG disabled."</span>);</div>
-<div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>  }</div>
+<div class="line"><a name="l02497"></a><span class="lineno"> 2497</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02498"></a><span class="lineno"> 2498</span>  {</div>
+<div class="line"><a name="l02499"></a><span class="lineno"> 2499</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div>
+<div class="line"><a name="l02500"></a><span class="lineno"> 2500</span>  <span class="stringliteral">"AddLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02501"></a><span class="lineno"> 2501</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
+<div class="line"><a name="l02502"></a><span class="lineno"> 2502</span>  }</div>
+<div class="line"><a name="l02503"></a><span class="lineno"> 2503</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02504"></a><span class="lineno"> 2504</span>  {</div>
+<div class="line"><a name="l02505"></a><span class="lineno"> 2505</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input Gate Bias cannot be NULL "</span></div>
+<div class="line"><a name="l02506"></a><span class="lineno"> 2506</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
+<div class="line"><a name="l02507"></a><span class="lineno"> 2507</span>  }</div>
+<div class="line"><a name="l02508"></a><span class="lineno"> 2508</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
+<div class="line"><a name="l02509"></a><span class="lineno"> 2509</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
+<div class="line"><a name="l02510"></a><span class="lineno"> 2510</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
+<div class="line"><a name="l02511"></a><span class="lineno"> 2511</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
+<div class="line"><a name="l02512"></a><span class="lineno"> 2512</span>  layer->m_CifgParameters.m_InputGateBias =</div>
+<div class="line"><a name="l02513"></a><span class="lineno"> 2513</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
+<div class="line"><a name="l02514"></a><span class="lineno"> 2514</span>  }</div>
+<div class="line"><a name="l02515"></a><span class="lineno"> 2515</span>  </div>
+<div class="line"><a name="l02516"></a><span class="lineno"> 2516</span>  <span class="comment">//Lstm projection parameters</span></div>
+<div class="line"><a name="l02517"></a><span class="lineno"> 2517</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
+<div class="line"><a name="l02518"></a><span class="lineno"> 2518</span>  {</div>
+<div class="line"><a name="l02519"></a><span class="lineno"> 2519</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02520"></a><span class="lineno"> 2520</span>  {</div>
+<div class="line"><a name="l02521"></a><span class="lineno"> 2521</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Projection Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02522"></a><span class="lineno"> 2522</span>  <span class="stringliteral">"when projection is enabled."</span>);</div>
+<div class="line"><a name="l02523"></a><span class="lineno"> 2523</span>  }</div>
+<div class="line"><a name="l02524"></a><span class="lineno"> 2524</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
+<div class="line"><a name="l02525"></a><span class="lineno"> 2525</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
+<div class="line"><a name="l02526"></a><span class="lineno"> 2526</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02527"></a><span class="lineno"> 2527</span>  {</div>
+<div class="line"><a name="l02528"></a><span class="lineno"> 2528</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
+<div class="line"><a name="l02529"></a><span class="lineno"> 2529</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
+<div class="line"><a name="l02530"></a><span class="lineno"> 2530</span>  }</div>
+<div class="line"><a name="l02531"></a><span class="lineno"> 2531</span>  }</div>
<div class="line"><a name="l02532"></a><span class="lineno"> 2532</span>  </div>
-<div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
-<div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
-<div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>  }</div>
-<div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  </div>
-<div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  {</div>
-<div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Forget Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
-<div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  }</div>
-<div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  {</div>
-<div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Output Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
+<div class="line"><a name="l02533"></a><span class="lineno"> 2533</span>  <span class="comment">//Lstm Peephole params</span></div>
+<div class="line"><a name="l02534"></a><span class="lineno"> 2534</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
+<div class="line"><a name="l02535"></a><span class="lineno"> 2535</span>  {</div>
+<div class="line"><a name="l02536"></a><span class="lineno"> 2536</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
+<div class="line"><a name="l02537"></a><span class="lineno"> 2537</span>  {</div>
+<div class="line"><a name="l02538"></a><span class="lineno"> 2538</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02539"></a><span class="lineno"> 2539</span>  {</div>
+<div class="line"><a name="l02540"></a><span class="lineno"> 2540</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Input Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02541"></a><span class="lineno"> 2541</span>  <span class="stringliteral">"when Peephole is enabled and CIFG disabled."</span>);</div>
+<div class="line"><a name="l02542"></a><span class="lineno"> 2542</span>  }</div>
+<div class="line"><a name="l02543"></a><span class="lineno"> 2543</span>  </div>
+<div class="line"><a name="l02544"></a><span class="lineno"> 2544</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
+<div class="line"><a name="l02545"></a><span class="lineno"> 2545</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
<div class="line"><a name="l02546"></a><span class="lineno"> 2546</span>  }</div>
<div class="line"><a name="l02547"></a><span class="lineno"> 2547</span>  </div>
-<div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
-<div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
-<div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
-<div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
-<div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>  }</div>
-<div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>  </div>
-<div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  <span class="comment">//Lstm Layer Normalization params</span></div>
-<div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
-<div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  {</div>
-<div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  {</div>
-<div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  {</div>
-<div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input layer normalization weights cannot be NULL "</span></div>
-<div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  <span class="stringliteral">"when layer normalization is enabled and CIFG disabled."</span>);</div>
-<div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>  }</div>
-<div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
-<div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
-<div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>  }</div>
-<div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  </div>
-<div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02548"></a><span class="lineno"> 2548</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02549"></a><span class="lineno"> 2549</span>  {</div>
+<div class="line"><a name="l02550"></a><span class="lineno"> 2550</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Forget Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02551"></a><span class="lineno"> 2551</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
+<div class="line"><a name="l02552"></a><span class="lineno"> 2552</span>  }</div>
+<div class="line"><a name="l02553"></a><span class="lineno"> 2553</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02554"></a><span class="lineno"> 2554</span>  {</div>
+<div class="line"><a name="l02555"></a><span class="lineno"> 2555</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell To Output Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02556"></a><span class="lineno"> 2556</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
+<div class="line"><a name="l02557"></a><span class="lineno"> 2557</span>  }</div>
+<div class="line"><a name="l02558"></a><span class="lineno"> 2558</span>  </div>
+<div class="line"><a name="l02559"></a><span class="lineno"> 2559</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
+<div class="line"><a name="l02560"></a><span class="lineno"> 2560</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
+<div class="line"><a name="l02561"></a><span class="lineno"> 2561</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
+<div class="line"><a name="l02562"></a><span class="lineno"> 2562</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
+<div class="line"><a name="l02563"></a><span class="lineno"> 2563</span>  }</div>
+<div class="line"><a name="l02564"></a><span class="lineno"> 2564</span>  </div>
+<div class="line"><a name="l02565"></a><span class="lineno"> 2565</span>  <span class="comment">//Lstm Layer Normalization params</span></div>
+<div class="line"><a name="l02566"></a><span class="lineno"> 2566</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
+<div class="line"><a name="l02567"></a><span class="lineno"> 2567</span>  {</div>
+<div class="line"><a name="l02568"></a><span class="lineno"> 2568</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l02569"></a><span class="lineno"> 2569</span>  {</div>
-<div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Forget layer normalization weights cannot be NULL "</span></div>
-<div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
-<div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>  }</div>
-<div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>  {</div>
-<div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell layer normalization weights cannot be NULL "</span></div>
-<div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l02570"></a><span class="lineno"> 2570</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02571"></a><span class="lineno"> 2571</span>  {</div>
+<div class="line"><a name="l02572"></a><span class="lineno"> 2572</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Input layer normalization weights cannot be NULL "</span></div>
+<div class="line"><a name="l02573"></a><span class="lineno"> 2573</span>  <span class="stringliteral">"when layer normalization is enabled and CIFG disabled."</span>);</div>
+<div class="line"><a name="l02574"></a><span class="lineno"> 2574</span>  }</div>
+<div class="line"><a name="l02575"></a><span class="lineno"> 2575</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
+<div class="line"><a name="l02576"></a><span class="lineno"> 2576</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
<div class="line"><a name="l02577"></a><span class="lineno"> 2577</span>  }</div>
-<div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>  {</div>
-<div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Output layer normalization weights cannot be NULL "</span></div>
-<div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
-<div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>  }</div>
-<div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
-<div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
-<div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
-<div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
-<div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
-<div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
-<div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>  }</div>
-<div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>  <span class="keywordflow">return</span> layer;</div>
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-<div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>  </div>
-<div class="line"><a name="l02593"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe"> 2593</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe">NetworkImpl::AddDivisionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02594"></a><span class="lineno"> 2594</span> {</div>
-<div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_division_layer.html">DivisionLayer</a>>(name);</div>
-<div class="line"><a name="l02596"></a><span class="lineno"> 2596</span> }</div>
-<div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>  </div>
-<div class="line"><a name="l02598"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d"> 2598</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d">NetworkImpl::AddSubtractionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02599"></a><span class="lineno"> 2599</span> {</div>
-<div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_subtraction_layer.html">SubtractionLayer</a>>(name);</div>
-<div class="line"><a name="l02601"></a><span class="lineno"> 2601</span> }</div>
-<div class="line"><a name="l02602"></a><span class="lineno"> 2602</span>  </div>
-<div class="line"><a name="l02603"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ad4726f9b7dd11db250d2a494a8a39494"> 2603</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ad4726f9b7dd11db250d2a494a8a39494">NetworkImpl::AddMeanLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a>& meanDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02604"></a><span class="lineno"> 2604</span> {</div>
-<div class="line"><a name="l02605"></a><span class="lineno"> 2605</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_mean_layer.html">MeanLayer</a>>(meanDescriptor,name);</div>
-<div class="line"><a name="l02606"></a><span class="lineno"> 2606</span> }</div>
-<div class="line"><a name="l02607"></a><span class="lineno"> 2607</span>  </div>
-<div class="line"><a name="l02608"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4"> 2608</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4">NetworkImpl::AddPadLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a>& padDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02609"></a><span class="lineno"> 2609</span> {</div>
-<div class="line"><a name="l02610"></a><span class="lineno"> 2610</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pad_layer.html">PadLayer</a>>(padDescriptor,name);</div>
-<div class="line"><a name="l02611"></a><span class="lineno"> 2611</span> }</div>
-<div class="line"><a name="l02612"></a><span class="lineno"> 2612</span>  </div>
-<div class="line"><a name="l02613"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899"> 2613</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> *<a class="code" href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899">NetworkImpl::AddQuantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
-<div class="line"><a name="l02614"></a><span class="lineno"> 2614</span> {</div>
-<div class="line"><a name="l02615"></a><span class="lineno"> 2615</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_quantize_layer.html">QuantizeLayer</a>>(name);</div>
-<div class="line"><a name="l02616"></a><span class="lineno"> 2616</span> }</div>
-<div class="line"><a name="l02617"></a><span class="lineno"> 2617</span>  </div>
-<div class="line"><a name="l02618"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec"> 2618</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec">NetworkImpl::AddDequantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02619"></a><span class="lineno"> 2619</span> {</div>
-<div class="line"><a name="l02620"></a><span class="lineno"> 2620</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_dequantize_layer.html">DequantizeLayer</a>>(name);</div>
-<div class="line"><a name="l02621"></a><span class="lineno"> 2621</span> }</div>
-<div class="line"><a name="l02622"></a><span class="lineno"> 2622</span>  </div>
-<div class="line"><a name="l02623"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ac5c93cad39a690af862d49ffaec0d3c0"> 2623</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ac5c93cad39a690af862d49ffaec0d3c0">NetworkImpl::AddStridedSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a>& stridedSliceDescriptor,</div>
-<div class="line"><a name="l02624"></a><span class="lineno"> 2624</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02578"></a><span class="lineno"> 2578</span>  </div>
+<div class="line"><a name="l02579"></a><span class="lineno"> 2579</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02580"></a><span class="lineno"> 2580</span>  {</div>
+<div class="line"><a name="l02581"></a><span class="lineno"> 2581</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Forget layer normalization weights cannot be NULL "</span></div>
+<div class="line"><a name="l02582"></a><span class="lineno"> 2582</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l02583"></a><span class="lineno"> 2583</span>  }</div>
+<div class="line"><a name="l02584"></a><span class="lineno"> 2584</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02585"></a><span class="lineno"> 2585</span>  {</div>
+<div class="line"><a name="l02586"></a><span class="lineno"> 2586</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Cell layer normalization weights cannot be NULL "</span></div>
+<div class="line"><a name="l02587"></a><span class="lineno"> 2587</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l02588"></a><span class="lineno"> 2588</span>  }</div>
+<div class="line"><a name="l02589"></a><span class="lineno"> 2589</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02590"></a><span class="lineno"> 2590</span>  {</div>
+<div class="line"><a name="l02591"></a><span class="lineno"> 2591</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddLstmLayer: Output layer normalization weights cannot be NULL "</span></div>
+<div class="line"><a name="l02592"></a><span class="lineno"> 2592</span>  <span class="stringliteral">"when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l02593"></a><span class="lineno"> 2593</span>  }</div>
+<div class="line"><a name="l02594"></a><span class="lineno"> 2594</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
+<div class="line"><a name="l02595"></a><span class="lineno"> 2595</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
+<div class="line"><a name="l02596"></a><span class="lineno"> 2596</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
+<div class="line"><a name="l02597"></a><span class="lineno"> 2597</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
+<div class="line"><a name="l02598"></a><span class="lineno"> 2598</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
+<div class="line"><a name="l02599"></a><span class="lineno"> 2599</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
+<div class="line"><a name="l02600"></a><span class="lineno"> 2600</span>  }</div>
+<div class="line"><a name="l02601"></a><span class="lineno"> 2601</span>  <span class="keywordflow">return</span> layer;</div>
+<div class="line"><a name="l02602"></a><span class="lineno"> 2602</span> }</div>
+<div class="line"><a name="l02603"></a><span class="lineno"> 2603</span>  </div>
+<div class="line"><a name="l02604"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe"> 2604</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe">NetworkImpl::AddDivisionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02605"></a><span class="lineno"> 2605</span> {</div>
+<div class="line"><a name="l02606"></a><span class="lineno"> 2606</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_division_layer.html">DivisionLayer</a>>(name);</div>
+<div class="line"><a name="l02607"></a><span class="lineno"> 2607</span> }</div>
+<div class="line"><a name="l02608"></a><span class="lineno"> 2608</span>  </div>
+<div class="line"><a name="l02609"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d"> 2609</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d">NetworkImpl::AddSubtractionLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02610"></a><span class="lineno"> 2610</span> {</div>
+<div class="line"><a name="l02611"></a><span class="lineno"> 2611</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_subtraction_layer.html">SubtractionLayer</a>>(name);</div>
+<div class="line"><a name="l02612"></a><span class="lineno"> 2612</span> }</div>
+<div class="line"><a name="l02613"></a><span class="lineno"> 2613</span>  </div>
+<div class="line"><a name="l02614"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ad4726f9b7dd11db250d2a494a8a39494"> 2614</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ad4726f9b7dd11db250d2a494a8a39494">NetworkImpl::AddMeanLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_mean_descriptor.html">MeanDescriptor</a>& meanDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02615"></a><span class="lineno"> 2615</span> {</div>
+<div class="line"><a name="l02616"></a><span class="lineno"> 2616</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_mean_layer.html">MeanLayer</a>>(meanDescriptor,name);</div>
+<div class="line"><a name="l02617"></a><span class="lineno"> 2617</span> }</div>
+<div class="line"><a name="l02618"></a><span class="lineno"> 2618</span>  </div>
+<div class="line"><a name="l02619"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4"> 2619</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4">NetworkImpl::AddPadLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pad_descriptor.html">PadDescriptor</a>& padDescriptor, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02620"></a><span class="lineno"> 2620</span> {</div>
+<div class="line"><a name="l02621"></a><span class="lineno"> 2621</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pad_layer.html">PadLayer</a>>(padDescriptor,name);</div>
+<div class="line"><a name="l02622"></a><span class="lineno"> 2622</span> }</div>
+<div class="line"><a name="l02623"></a><span class="lineno"> 2623</span>  </div>
+<div class="line"><a name="l02624"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899"> 2624</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a> *<a class="code" href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899">NetworkImpl::AddQuantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
<div class="line"><a name="l02625"></a><span class="lineno"> 2625</span> {</div>
-<div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_strided_slice_layer.html">StridedSliceLayer</a>>(stridedSliceDescriptor, name);</div>
+<div class="line"><a name="l02626"></a><span class="lineno"> 2626</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_quantize_layer.html">QuantizeLayer</a>>(name);</div>
<div class="line"><a name="l02627"></a><span class="lineno"> 2627</span> }</div>
<div class="line"><a name="l02628"></a><span class="lineno"> 2628</span>  </div>
-<div class="line"><a name="l02629"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e"> 2629</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e">NetworkImpl::AddGatherLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a>& gatherDescriptor,</div>
-<div class="line"><a name="l02630"></a><span class="lineno"> 2630</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02631"></a><span class="lineno"> 2631</span> {</div>
-<div class="line"><a name="l02632"></a><span class="lineno"> 2632</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_layer.html">GatherLayer</a>>(gatherDescriptor, name);</div>
-<div class="line"><a name="l02633"></a><span class="lineno"> 2633</span> }</div>
-<div class="line"><a name="l02634"></a><span class="lineno"> 2634</span>  </div>
-<div class="line"><a name="l02635"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e"> 2635</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e">NetworkImpl::AddGatherNdLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02629"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec"> 2629</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec">NetworkImpl::AddDequantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02630"></a><span class="lineno"> 2630</span> {</div>
+<div class="line"><a name="l02631"></a><span class="lineno"> 2631</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_dequantize_layer.html">DequantizeLayer</a>>(name);</div>
+<div class="line"><a name="l02632"></a><span class="lineno"> 2632</span> }</div>
+<div class="line"><a name="l02633"></a><span class="lineno"> 2633</span>  </div>
+<div class="line"><a name="l02634"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ac5c93cad39a690af862d49ffaec0d3c0"> 2634</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ac5c93cad39a690af862d49ffaec0d3c0">NetworkImpl::AddStridedSliceLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a>& stridedSliceDescriptor,</div>
+<div class="line"><a name="l02635"></a><span class="lineno"> 2635</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l02636"></a><span class="lineno"> 2636</span> {</div>
-<div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_nd_layer.html">GatherNdLayer</a>>(name);</div>
+<div class="line"><a name="l02637"></a><span class="lineno"> 2637</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_strided_slice_layer.html">StridedSliceLayer</a>>(stridedSliceDescriptor, name);</div>
<div class="line"><a name="l02638"></a><span class="lineno"> 2638</span> }</div>
<div class="line"><a name="l02639"></a><span class="lineno"> 2639</span>  </div>
-<div class="line"><a name="l02640"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a"> 2640</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a">NetworkImpl::AddMergeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02641"></a><span class="lineno"> 2641</span> {</div>
-<div class="line"><a name="l02642"></a><span class="lineno"> 2642</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_merge_layer.html">MergeLayer</a>>(name);</div>
-<div class="line"><a name="l02643"></a><span class="lineno"> 2643</span> }</div>
-<div class="line"><a name="l02644"></a><span class="lineno"> 2644</span>  </div>
-<div class="line"><a name="l02645"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a26e69cda5fe9642f9198c24ae5fdf9bc"> 2645</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a26e69cda5fe9642f9198c24ae5fdf9bc">NetworkImpl::AddSwitchLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02646"></a><span class="lineno"> 2646</span> {</div>
-<div class="line"><a name="l02647"></a><span class="lineno"> 2647</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_switch_layer.html">SwitchLayer</a>>(name);</div>
-<div class="line"><a name="l02648"></a><span class="lineno"> 2648</span> }</div>
-<div class="line"><a name="l02649"></a><span class="lineno"> 2649</span>  </div>
-<div class="line"><a name="l02650"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe"> 2650</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe">NetworkImpl::AddPreluLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02651"></a><span class="lineno"> 2651</span> {</div>
-<div class="line"><a name="l02652"></a><span class="lineno"> 2652</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_prelu_layer.html">PreluLayer</a>>(name);</div>
-<div class="line"><a name="l02653"></a><span class="lineno"> 2653</span> }</div>
-<div class="line"><a name="l02654"></a><span class="lineno"> 2654</span>  </div>
-<div class="line"><a name="l02655"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393"> 2655</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393">NetworkImpl::AddTransposeConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a>& descriptor,</div>
-<div class="line"><a name="l02656"></a><span class="lineno"> 2656</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& weights,</div>
-<div class="line"><a name="l02657"></a><span class="lineno"> 2657</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<ConstTensor></a>& biases,</div>
-<div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02659"></a><span class="lineno"> 2659</span> {</div>
-<div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biases.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
-<div class="line"><a name="l02661"></a><span class="lineno"> 2661</span>  {</div>
-<div class="line"><a name="l02662"></a><span class="lineno"> 2662</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddTransposeConvolution2dLayer: Biases cannot be empty"</span>);</div>
-<div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>  }</div>
-<div class="line"><a name="l02664"></a><span class="lineno"> 2664</span>  </div>
-<div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a>>(descriptor, name);</div>
-<div class="line"><a name="l02666"></a><span class="lineno"> 2666</span>  </div>
-<div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>  layer-><a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a> = std::make_shared<ScopedTensorHandle>(weights);</div>
-<div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>  </div>
-<div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div>
-<div class="line"><a name="l02670"></a><span class="lineno"> 2670</span>  {</div>
-<div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>  layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div>
-<div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  }</div>
-<div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  </div>
-<div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  <span class="keywordflow">return</span> layer;</div>
-<div class="line"><a name="l02675"></a><span class="lineno"> 2675</span> }</div>
-<div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  </div>
-<div class="line"><a name="l02677"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba"> 2677</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba">NetworkImpl::AddTransposeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a>& transposeDescriptor,</div>
-<div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02679"></a><span class="lineno"> 2679</span> {</div>
-<div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_transpose_layer.html">TransposeLayer</a>>(transposeDescriptor, name);</div>
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-<div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02685"></a><span class="lineno"> 2685</span> {</div>
-<div class="line"><a name="l02686"></a><span class="lineno"> 2686</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stack_layer.html">StackLayer</a>>(stackDescriptor, name);</div>
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-<div class="line"><a name="l02690"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08"> 2690</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08">NetworkImpl::AddStandInLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.html">StandInDescriptor</a>& desc,</div>
-<div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02692"></a><span class="lineno"> 2692</span> {</div>
-<div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stand_in_layer.html">StandInLayer</a>>(desc, name);</div>
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-<div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02698"></a><span class="lineno"> 2698</span> {</div>
-<div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">QuantizedLstmLayer</a>>(name);</div>
+<div class="line"><a name="l02640"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e"> 2640</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e">NetworkImpl::AddGatherLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_gather_descriptor.html">GatherDescriptor</a>& gatherDescriptor,</div>
+<div class="line"><a name="l02641"></a><span class="lineno"> 2641</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02642"></a><span class="lineno"> 2642</span> {</div>
+<div class="line"><a name="l02643"></a><span class="lineno"> 2643</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_layer.html">GatherLayer</a>>(gatherDescriptor, name);</div>
+<div class="line"><a name="l02644"></a><span class="lineno"> 2644</span> }</div>
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+<div class="line"><a name="l02646"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e"> 2646</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e">NetworkImpl::AddGatherNdLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02647"></a><span class="lineno"> 2647</span> {</div>
+<div class="line"><a name="l02648"></a><span class="lineno"> 2648</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_gather_nd_layer.html">GatherNdLayer</a>>(name);</div>
+<div class="line"><a name="l02649"></a><span class="lineno"> 2649</span> }</div>
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+<div class="line"><a name="l02651"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a"> 2651</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a">NetworkImpl::AddMergeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02652"></a><span class="lineno"> 2652</span> {</div>
+<div class="line"><a name="l02653"></a><span class="lineno"> 2653</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_merge_layer.html">MergeLayer</a>>(name);</div>
+<div class="line"><a name="l02654"></a><span class="lineno"> 2654</span> }</div>
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+<div class="line"><a name="l02657"></a><span class="lineno"> 2657</span> {</div>
+<div class="line"><a name="l02658"></a><span class="lineno"> 2658</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_switch_layer.html">SwitchLayer</a>>(name);</div>
+<div class="line"><a name="l02659"></a><span class="lineno"> 2659</span> }</div>
+<div class="line"><a name="l02660"></a><span class="lineno"> 2660</span>  </div>
+<div class="line"><a name="l02661"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe"> 2661</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe">NetworkImpl::AddPreluLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02662"></a><span class="lineno"> 2662</span> {</div>
+<div class="line"><a name="l02663"></a><span class="lineno"> 2663</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_prelu_layer.html">PreluLayer</a>>(name);</div>
+<div class="line"><a name="l02664"></a><span class="lineno"> 2664</span> }</div>
+<div class="line"><a name="l02665"></a><span class="lineno"> 2665</span>  </div>
+<div class="line"><a name="l02666"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393"> 2666</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393">NetworkImpl::AddTransposeConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a>& descriptor,</div>
+<div class="line"><a name="l02667"></a><span class="lineno"> 2667</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>& weights,</div>
+<div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<ConstTensor></a>& biases,</div>
+<div class="line"><a name="l02669"></a><span class="lineno"> 2669</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02670"></a><span class="lineno"> 2670</span> {</div>
+<div class="line"><a name="l02671"></a><span class="lineno"> 2671</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a> && !biases.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
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+<div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddTransposeConvolution2dLayer: Biases cannot be empty"</span>);</div>
+<div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  }</div>
+<div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  </div>
+<div class="line"><a name="l02676"></a><span class="lineno"> 2676</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a>>(descriptor, name);</div>
+<div class="line"><a name="l02677"></a><span class="lineno"> 2677</span>  </div>
+<div class="line"><a name="l02678"></a><span class="lineno"> 2678</span>  layer-><a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a> = std::make_shared<ScopedTensorHandle>(weights);</div>
+<div class="line"><a name="l02679"></a><span class="lineno"> 2679</span>  </div>
+<div class="line"><a name="l02680"></a><span class="lineno"> 2680</span>  <span class="keywordflow">if</span> (descriptor.m_BiasEnabled)</div>
+<div class="line"><a name="l02681"></a><span class="lineno"> 2681</span>  {</div>
+<div class="line"><a name="l02682"></a><span class="lineno"> 2682</span>  layer->m_Bias = std::make_shared<ScopedTensorHandle>(biases.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div>
+<div class="line"><a name="l02683"></a><span class="lineno"> 2683</span>  }</div>
+<div class="line"><a name="l02684"></a><span class="lineno"> 2684</span>  </div>
+<div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  <span class="keywordflow">return</span> layer;</div>
+<div class="line"><a name="l02686"></a><span class="lineno"> 2686</span> }</div>
+<div class="line"><a name="l02687"></a><span class="lineno"> 2687</span>  </div>
+<div class="line"><a name="l02688"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba"> 2688</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba">NetworkImpl::AddTransposeLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_descriptor.html">TransposeDescriptor</a>& transposeDescriptor,</div>
+<div class="line"><a name="l02689"></a><span class="lineno"> 2689</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02690"></a><span class="lineno"> 2690</span> {</div>
+<div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_transpose_layer.html">TransposeLayer</a>>(transposeDescriptor, name);</div>
+<div class="line"><a name="l02692"></a><span class="lineno"> 2692</span> }</div>
+<div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  </div>
+<div class="line"><a name="l02694"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a446181daeb60b49cbcfd9f907f974ec1"> 2694</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a446181daeb60b49cbcfd9f907f974ec1">NetworkImpl::AddStackLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stack_descriptor.html">StackDescriptor</a>& stackDescriptor,</div>
+<div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02696"></a><span class="lineno"> 2696</span> {</div>
+<div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stack_layer.html">StackLayer</a>>(stackDescriptor, name);</div>
+<div class="line"><a name="l02698"></a><span class="lineno"> 2698</span> }</div>
+<div class="line"><a name="l02699"></a><span class="lineno"> 2699</span>  </div>
<div class="line"><a name="l02700"></a><span class="lineno"> 2700</span>  </div>
-<div class="line"><a name="l02701"></a><span class="lineno"> 2701</span>  <span class="comment">// InputToX weights</span></div>
-<div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>  layer-><a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> =</div>
-<div class="line"><a name="l02703"></a><span class="lineno"> 2703</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a23d6133552ba91cc0571517896792ea4">GetInputToInputWeights</a>());</div>
-<div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  layer->m_QuantizedLstmParameters.m_InputToForgetWeights =</div>
-<div class="line"><a name="l02705"></a><span class="lineno"> 2705</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a339c19855613274cf0ea13921af9e5a3">GetInputToForgetWeights</a>());</div>
-<div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>  layer->m_QuantizedLstmParameters.m_InputToCellWeights =</div>
-<div class="line"><a name="l02707"></a><span class="lineno"> 2707</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a928f70dd19a2b0d3e9b75c27a2099c44">GetInputToCellWeights</a>());</div>
-<div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  layer->m_QuantizedLstmParameters.m_InputToOutputWeights =</div>
-<div class="line"><a name="l02709"></a><span class="lineno"> 2709</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a477440c44fe870fb6f2486bf68214395">GetInputToOutputWeights</a>());</div>
-<div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>  </div>
-<div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>  <span class="comment">// RecurrentToX weights</span></div>
-<div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights =</div>
-<div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#ad2e53e6428416a65ae4ba566207cc6bf">GetRecurrentToInputWeights</a>());</div>
-<div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights =</div>
-<div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a8ad69d6d46b4b12f47fbe6032c9b7a18">GetRecurrentToForgetWeights</a>());</div>
-<div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights =</div>
-<div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a63e34dd3e41262e750f7a54de8ca81d1">GetRecurrentToCellWeights</a>());</div>
-<div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights =</div>
-<div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a94645f29b99800c2e57acc4832519a53">GetRecurrentToOutputWeights</a>());</div>
-<div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  </div>
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-<div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  layer->m_QuantizedLstmParameters.m_InputGateBias =</div>
-<div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#aba6d12c9d5671017b6711b80316069ff">GetInputGateBias</a>());</div>
-<div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  layer->m_QuantizedLstmParameters.m_ForgetGateBias =</div>
-<div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a715696f29b5376cbb8aaec0b77a092af">GetForgetGateBias</a>());</div>
-<div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  layer->m_QuantizedLstmParameters.m_CellBias =</div>
-<div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a89f3c8b72e3a802240156915141de5ca">GetCellBias</a>());</div>
-<div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>  layer->m_QuantizedLstmParameters.m_OutputGateBias =</div>
-<div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a1691bf16df2cabf1a4b82aecbb021f31">GetOutputGateBias</a>());</div>
-<div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>  </div>
-<div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  <span class="keywordflow">return</span> layer;</div>
-<div class="line"><a name="l02732"></a><span class="lineno"> 2732</span> }</div>
-<div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  </div>
-<div class="line"><a name="l02734"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a"> 2734</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a">NetworkImpl::AddQLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a>& descriptor,</div>
-<div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div>
-<div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02737"></a><span class="lineno"> 2737</span> {</div>
-<div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a>>(descriptor, name);</div>
-<div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  </div>
-<div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>  <span class="comment">// QLstm Basic Parameters</span></div>
-<div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>  layer-><a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
-<div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
-<div class="line"><a name="l02743"></a><span class="lineno"> 2743</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
-<div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
-<div class="line"><a name="l02745"></a><span class="lineno"> 2745</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
-<div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
-<div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
-<div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
-<div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
-<div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
-<div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
-<div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
-<div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
-<div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
-<div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  layer->m_BasicParameters.m_CellBias =</div>
-<div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
-<div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
-<div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
-<div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  </div>
-<div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  <span class="comment">// QLstm Cifg parameters</span></div>
-<div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  {</div>
-<div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  {</div>
-<div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input To Input Weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>  }</div>
-<div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>  </div>
-<div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02769"></a><span class="lineno"> 2769</span>  {</div>
-<div class="line"><a name="l02770"></a><span class="lineno"> 2770</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div>
-<div class="line"><a name="l02771"></a><span class="lineno"> 2771</span>  <span class="stringliteral">"AddQLstmLayer: Recurrent To Input Weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02772"></a><span class="lineno"> 2772</span>  }</div>
-<div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>  </div>
-<div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02701"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08"> 2701</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08">NetworkImpl::AddStandInLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_stand_in_descriptor.html">StandInDescriptor</a>& desc,</div>
+<div class="line"><a name="l02702"></a><span class="lineno"> 2702</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02703"></a><span class="lineno"> 2703</span> {</div>
+<div class="line"><a name="l02704"></a><span class="lineno"> 2704</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_stand_in_layer.html">StandInLayer</a>>(desc, name);</div>
+<div class="line"><a name="l02705"></a><span class="lineno"> 2705</span> }</div>
+<div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>  </div>
+<div class="line"><a name="l02707"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a40067b05f30a3ab65568c826df7a8ea7"> 2707</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a40067b05f30a3ab65568c826df7a8ea7">NetworkImpl::AddQuantizedLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html">QuantizedLstmInputParams</a>& params,</div>
+<div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02709"></a><span class="lineno"> 2709</span> {</div>
+<div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_quantized_lstm_layer.html">QuantizedLstmLayer</a>>(name);</div>
+<div class="line"><a name="l02711"></a><span class="lineno"> 2711</span>  </div>
+<div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  <span class="comment">// InputToX weights</span></div>
+<div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  layer-><a class="code" href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">m_QuantizedLstmParameters</a>.<a class="code" href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">m_InputToInputWeights</a> =</div>
+<div class="line"><a name="l02714"></a><span class="lineno"> 2714</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a23d6133552ba91cc0571517896792ea4">GetInputToInputWeights</a>());</div>
+<div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  layer->m_QuantizedLstmParameters.m_InputToForgetWeights =</div>
+<div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a339c19855613274cf0ea13921af9e5a3">GetInputToForgetWeights</a>());</div>
+<div class="line"><a name="l02717"></a><span class="lineno"> 2717</span>  layer->m_QuantizedLstmParameters.m_InputToCellWeights =</div>
+<div class="line"><a name="l02718"></a><span class="lineno"> 2718</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a928f70dd19a2b0d3e9b75c27a2099c44">GetInputToCellWeights</a>());</div>
+<div class="line"><a name="l02719"></a><span class="lineno"> 2719</span>  layer->m_QuantizedLstmParameters.m_InputToOutputWeights =</div>
+<div class="line"><a name="l02720"></a><span class="lineno"> 2720</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a477440c44fe870fb6f2486bf68214395">GetInputToOutputWeights</a>());</div>
+<div class="line"><a name="l02721"></a><span class="lineno"> 2721</span>  </div>
+<div class="line"><a name="l02722"></a><span class="lineno"> 2722</span>  <span class="comment">// RecurrentToX weights</span></div>
+<div class="line"><a name="l02723"></a><span class="lineno"> 2723</span>  layer->m_QuantizedLstmParameters.m_RecurrentToInputWeights =</div>
+<div class="line"><a name="l02724"></a><span class="lineno"> 2724</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#ad2e53e6428416a65ae4ba566207cc6bf">GetRecurrentToInputWeights</a>());</div>
+<div class="line"><a name="l02725"></a><span class="lineno"> 2725</span>  layer->m_QuantizedLstmParameters.m_RecurrentToForgetWeights =</div>
+<div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a8ad69d6d46b4b12f47fbe6032c9b7a18">GetRecurrentToForgetWeights</a>());</div>
+<div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  layer->m_QuantizedLstmParameters.m_RecurrentToCellWeights =</div>
+<div class="line"><a name="l02728"></a><span class="lineno"> 2728</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a63e34dd3e41262e750f7a54de8ca81d1">GetRecurrentToCellWeights</a>());</div>
+<div class="line"><a name="l02729"></a><span class="lineno"> 2729</span>  layer->m_QuantizedLstmParameters.m_RecurrentToOutputWeights =</div>
+<div class="line"><a name="l02730"></a><span class="lineno"> 2730</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a94645f29b99800c2e57acc4832519a53">GetRecurrentToOutputWeights</a>());</div>
+<div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  </div>
+<div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>  <span class="comment">// Bias</span></div>
+<div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  layer->m_QuantizedLstmParameters.m_InputGateBias =</div>
+<div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#aba6d12c9d5671017b6711b80316069ff">GetInputGateBias</a>());</div>
+<div class="line"><a name="l02735"></a><span class="lineno"> 2735</span>  layer->m_QuantizedLstmParameters.m_ForgetGateBias =</div>
+<div class="line"><a name="l02736"></a><span class="lineno"> 2736</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a715696f29b5376cbb8aaec0b77a092af">GetForgetGateBias</a>());</div>
+<div class="line"><a name="l02737"></a><span class="lineno"> 2737</span>  layer->m_QuantizedLstmParameters.m_CellBias =</div>
+<div class="line"><a name="l02738"></a><span class="lineno"> 2738</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a89f3c8b72e3a802240156915141de5ca">GetCellBias</a>());</div>
+<div class="line"><a name="l02739"></a><span class="lineno"> 2739</span>  layer->m_QuantizedLstmParameters.m_OutputGateBias =</div>
+<div class="line"><a name="l02740"></a><span class="lineno"> 2740</span>  std::make_shared<ScopedTensorHandle>(params.<a class="code" href="structarmnn_1_1_quantized_lstm_input_params.html#a1691bf16df2cabf1a4b82aecbb021f31">GetOutputGateBias</a>());</div>
+<div class="line"><a name="l02741"></a><span class="lineno"> 2741</span>  </div>
+<div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>  <span class="keywordflow">return</span> layer;</div>
+<div class="line"><a name="l02743"></a><span class="lineno"> 2743</span> }</div>
+<div class="line"><a name="l02744"></a><span class="lineno"> 2744</span>  </div>
+<div class="line"><a name="l02745"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a"> 2745</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a">NetworkImpl::AddQLstmLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_q_lstm_descriptor.html">QLstmDescriptor</a>& descriptor,</div>
+<div class="line"><a name="l02746"></a><span class="lineno"> 2746</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div>
+<div class="line"><a name="l02747"></a><span class="lineno"> 2747</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02748"></a><span class="lineno"> 2748</span> {</div>
+<div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_q_lstm_layer.html">QLstmLayer</a>>(descriptor, name);</div>
+<div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  </div>
+<div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  <span class="comment">// QLstm Basic Parameters</span></div>
+<div class="line"><a name="l02752"></a><span class="lineno"> 2752</span>  layer-><a class="code" href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
+<div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
+<div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
+<div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
+<div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
+<div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
+<div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
+<div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
+<div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
+<div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
+<div class="line"><a name="l02762"></a><span class="lineno"> 2762</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
+<div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
+<div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
+<div class="line"><a name="l02765"></a><span class="lineno"> 2765</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
+<div class="line"><a name="l02766"></a><span class="lineno"> 2766</span>  layer->m_BasicParameters.m_CellBias =</div>
+<div class="line"><a name="l02767"></a><span class="lineno"> 2767</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
+<div class="line"><a name="l02768"></a><span class="lineno"> 2768</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
+<div class="line"><a name="l02769"></a><span class="lineno"> 2769</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
+<div class="line"><a name="l02770"></a><span class="lineno"> 2770</span>  </div>
+<div class="line"><a name="l02771"></a><span class="lineno"> 2771</span>  <span class="comment">// QLstm Cifg parameters</span></div>
+<div class="line"><a name="l02772"></a><span class="lineno"> 2772</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
+<div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>  {</div>
+<div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02775"></a><span class="lineno"> 2775</span>  {</div>
-<div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input Gate Bias cannot be NULL"</span>);</div>
+<div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input To Input Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02777"></a><span class="lineno"> 2777</span>  }</div>
<div class="line"><a name="l02778"></a><span class="lineno"> 2778</span>  </div>
-<div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
-<div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
-<div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
-<div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
-<div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  layer->m_CifgParameters.m_InputGateBias =</div>
-<div class="line"><a name="l02784"></a><span class="lineno"> 2784</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
-<div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  }</div>
-<div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  </div>
-<div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  <span class="comment">// QLstm Projection parameters</span></div>
-<div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
-<div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  {</div>
-<div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  {</div>
-<div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Projection Weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  }</div>
-<div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>  </div>
-<div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
-<div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
+<div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  {</div>
+<div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div>
+<div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  <span class="stringliteral">"AddQLstmLayer: Recurrent To Input Weights cannot be NULL"</span>);</div>
+<div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  }</div>
+<div class="line"><a name="l02784"></a><span class="lineno"> 2784</span>  </div>
+<div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  {</div>
+<div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input Gate Bias cannot be NULL"</span>);</div>
+<div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  }</div>
+<div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  </div>
+<div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
+<div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
+<div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
+<div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
+<div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>  layer->m_CifgParameters.m_InputGateBias =</div>
+<div class="line"><a name="l02795"></a><span class="lineno"> 2795</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
+<div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  }</div>
<div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>  </div>
-<div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>  <span class="comment">// Projection bias is optional even if projection is enabled</span></div>
-<div class="line"><a name="l02799"></a><span class="lineno"> 2799</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02800"></a><span class="lineno"> 2800</span>  {</div>
-<div class="line"><a name="l02801"></a><span class="lineno"> 2801</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
-<div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
-<div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>  }</div>
-<div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>  </div>
-<div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>  }</div>
-<div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  </div>
-<div class="line"><a name="l02807"></a><span class="lineno"> 2807</span>  <span class="comment">// QLstm Peephole params</span></div>
-<div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
-<div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>  {</div>
-<div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02798"></a><span class="lineno"> 2798</span>  <span class="comment">// QLstm Projection parameters</span></div>
+<div class="line"><a name="l02799"></a><span class="lineno"> 2799</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
+<div class="line"><a name="l02800"></a><span class="lineno"> 2800</span>  {</div>
+<div class="line"><a name="l02801"></a><span class="lineno"> 2801</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02802"></a><span class="lineno"> 2802</span>  {</div>
+<div class="line"><a name="l02803"></a><span class="lineno"> 2803</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Projection Weights cannot be NULL"</span>);</div>
+<div class="line"><a name="l02804"></a><span class="lineno"> 2804</span>  }</div>
+<div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>  </div>
+<div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
+<div class="line"><a name="l02807"></a><span class="lineno"> 2807</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
+<div class="line"><a name="l02808"></a><span class="lineno"> 2808</span>  </div>
+<div class="line"><a name="l02809"></a><span class="lineno"> 2809</span>  <span class="comment">// Projection bias is optional even if projection is enabled</span></div>
+<div class="line"><a name="l02810"></a><span class="lineno"> 2810</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>  {</div>
-<div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Forget Weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  }</div>
-<div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  </div>
-<div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02816"></a><span class="lineno"> 2816</span>  {</div>
-<div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Output Weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  }</div>
-<div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  </div>
-<div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  {</div>
-<div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02823"></a><span class="lineno"> 2823</span>  {</div>
-<div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Input Weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  }</div>
-<div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  </div>
-<div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
-<div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
+<div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
+<div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
+<div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  }</div>
+<div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  </div>
+<div class="line"><a name="l02816"></a><span class="lineno"> 2816</span>  }</div>
+<div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>  </div>
+<div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  <span class="comment">// QLstm Peephole params</span></div>
+<div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
+<div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  {</div>
+<div class="line"><a name="l02821"></a><span class="lineno"> 2821</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  {</div>
+<div class="line"><a name="l02823"></a><span class="lineno"> 2823</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Forget Weights cannot be NULL"</span>);</div>
+<div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  }</div>
+<div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  </div>
+<div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>  {</div>
+<div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Output Weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02829"></a><span class="lineno"> 2829</span>  }</div>
<div class="line"><a name="l02830"></a><span class="lineno"> 2830</span>  </div>
-<div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
-<div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
-<div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
-<div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
-<div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  }</div>
-<div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  </div>
-<div class="line"><a name="l02837"></a><span class="lineno"> 2837</span>  <span class="comment">// QLstm Layer Normalization params</span></div>
-<div class="line"><a name="l02838"></a><span class="lineno"> 2838</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
-<div class="line"><a name="l02839"></a><span class="lineno"> 2839</span>  {</div>
-<div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>  {</div>
-<div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Forget layer normalization weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>  }</div>
-<div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>  </div>
-<div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02846"></a><span class="lineno"> 2846</span>  {</div>
-<div class="line"><a name="l02847"></a><span class="lineno"> 2847</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell layer normalization weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  }</div>
-<div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  </div>
-<div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  {</div>
-<div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Output layer normalization weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  }</div>
-<div class="line"><a name="l02854"></a><span class="lineno"> 2854</span>  </div>
-<div class="line"><a name="l02855"></a><span class="lineno"> 2855</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  {</div>
-<div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  {</div>
-<div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input layer normalization weights cannot be NULL"</span>);</div>
-<div class="line"><a name="l02860"></a><span class="lineno"> 2860</span>  }</div>
-<div class="line"><a name="l02861"></a><span class="lineno"> 2861</span>  </div>
-<div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
-<div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
+<div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
+<div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  {</div>
+<div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  {</div>
+<div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell To Input Weights cannot be NULL"</span>);</div>
+<div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  }</div>
+<div class="line"><a name="l02837"></a><span class="lineno"> 2837</span>  </div>
+<div class="line"><a name="l02838"></a><span class="lineno"> 2838</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
+<div class="line"><a name="l02839"></a><span class="lineno"> 2839</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
+<div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  }</div>
+<div class="line"><a name="l02841"></a><span class="lineno"> 2841</span>  </div>
+<div class="line"><a name="l02842"></a><span class="lineno"> 2842</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
+<div class="line"><a name="l02843"></a><span class="lineno"> 2843</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
+<div class="line"><a name="l02844"></a><span class="lineno"> 2844</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
+<div class="line"><a name="l02845"></a><span class="lineno"> 2845</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
+<div class="line"><a name="l02846"></a><span class="lineno"> 2846</span>  }</div>
+<div class="line"><a name="l02847"></a><span class="lineno"> 2847</span>  </div>
+<div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  <span class="comment">// QLstm Layer Normalization params</span></div>
+<div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
+<div class="line"><a name="l02850"></a><span class="lineno"> 2850</span>  {</div>
+<div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02852"></a><span class="lineno"> 2852</span>  {</div>
+<div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Forget layer normalization weights cannot be NULL"</span>);</div>
+<div class="line"><a name="l02854"></a><span class="lineno"> 2854</span>  }</div>
+<div class="line"><a name="l02855"></a><span class="lineno"> 2855</span>  </div>
+<div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02857"></a><span class="lineno"> 2857</span>  {</div>
+<div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Cell layer normalization weights cannot be NULL"</span>);</div>
+<div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>  }</div>
+<div class="line"><a name="l02860"></a><span class="lineno"> 2860</span>  </div>
+<div class="line"><a name="l02861"></a><span class="lineno"> 2861</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  {</div>
+<div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Output layer normalization weights cannot be NULL"</span>);</div>
<div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  }</div>
<div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>  </div>
-<div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
-<div class="line"><a name="l02867"></a><span class="lineno"> 2867</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
-<div class="line"><a name="l02868"></a><span class="lineno"> 2868</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
-<div class="line"><a name="l02869"></a><span class="lineno"> 2869</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
-<div class="line"><a name="l02870"></a><span class="lineno"> 2870</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
-<div class="line"><a name="l02871"></a><span class="lineno"> 2871</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
-<div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>  }</div>
-<div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>  <span class="keywordflow">return</span> layer;</div>
-<div class="line"><a name="l02874"></a><span class="lineno"> 2874</span> }</div>
-<div class="line"><a name="l02875"></a><span class="lineno"> 2875</span>  </div>
-<div class="line"><a name="l02876"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3"> 2876</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3">NetworkImpl::AddLogicalBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a>& logicalBinaryDescriptor,</div>
-<div class="line"><a name="l02877"></a><span class="lineno"> 2877</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02878"></a><span class="lineno"> 2878</span> {</div>
-<div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_logical_binary_layer.html">LogicalBinaryLayer</a>>(logicalBinaryDescriptor, name);</div>
-<div class="line"><a name="l02880"></a><span class="lineno"> 2880</span> }</div>
-<div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  </div>
-<div class="line"><a name="l02882"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a"> 2882</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a">NetworkImpl::AddUnidirectionalSequenceLstmLayer</a>(</div>
-<div class="line"><a name="l02883"></a><span class="lineno"> 2883</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div>
-<div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div>
-<div class="line"><a name="l02885"></a><span class="lineno"> 2885</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l02886"></a><span class="lineno"> 2886</span> {</div>
-<div class="line"><a name="l02887"></a><span class="lineno"> 2887</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html">UnidirectionalSequenceLstmLayer</a>>(descriptor, name);</div>
-<div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  </div>
-<div class="line"><a name="l02889"></a><span class="lineno"> 2889</span>  <span class="comment">//Lstm Basic Parameters</span></div>
-<div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  layer-><a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
-<div class="line"><a name="l02891"></a><span class="lineno"> 2891</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
-<div class="line"><a name="l02892"></a><span class="lineno"> 2892</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
-<div class="line"><a name="l02893"></a><span class="lineno"> 2893</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
-<div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
-<div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
-<div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
-<div class="line"><a name="l02897"></a><span class="lineno"> 2897</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
-<div class="line"><a name="l02898"></a><span class="lineno"> 2898</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
-<div class="line"><a name="l02899"></a><span class="lineno"> 2899</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
-<div class="line"><a name="l02900"></a><span class="lineno"> 2900</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
-<div class="line"><a name="l02901"></a><span class="lineno"> 2901</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
-<div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
-<div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
-<div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  layer->m_BasicParameters.m_CellBias =</div>
-<div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
-<div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
-<div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
-<div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  </div>
-<div class="line"><a name="l02909"></a><span class="lineno"> 2909</span>  <span class="comment">//Lstm Cifg parameters</span></div>
-<div class="line"><a name="l02910"></a><span class="lineno"> 2910</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>  {</div>
-<div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  {</div>
-<div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input To Input Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02915"></a><span class="lineno"> 2915</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
-<div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  }</div>
-<div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02918"></a><span class="lineno"> 2918</span>  {</div>
-<div class="line"><a name="l02919"></a><span class="lineno"> 2919</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div>
-<div class="line"><a name="l02920"></a><span class="lineno"> 2920</span>  <span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
-<div class="line"><a name="l02922"></a><span class="lineno"> 2922</span>  }</div>
-<div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
+<div class="line"><a name="l02867"></a><span class="lineno"> 2867</span>  {</div>
+<div class="line"><a name="l02868"></a><span class="lineno"> 2868</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02869"></a><span class="lineno"> 2869</span>  {</div>
+<div class="line"><a name="l02870"></a><span class="lineno"> 2870</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddQLstmLayer: Input layer normalization weights cannot be NULL"</span>);</div>
+<div class="line"><a name="l02871"></a><span class="lineno"> 2871</span>  }</div>
+<div class="line"><a name="l02872"></a><span class="lineno"> 2872</span>  </div>
+<div class="line"><a name="l02873"></a><span class="lineno"> 2873</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
+<div class="line"><a name="l02874"></a><span class="lineno"> 2874</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
+<div class="line"><a name="l02875"></a><span class="lineno"> 2875</span>  }</div>
+<div class="line"><a name="l02876"></a><span class="lineno"> 2876</span>  </div>
+<div class="line"><a name="l02877"></a><span class="lineno"> 2877</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
+<div class="line"><a name="l02878"></a><span class="lineno"> 2878</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
+<div class="line"><a name="l02879"></a><span class="lineno"> 2879</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
+<div class="line"><a name="l02880"></a><span class="lineno"> 2880</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
+<div class="line"><a name="l02881"></a><span class="lineno"> 2881</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
+<div class="line"><a name="l02882"></a><span class="lineno"> 2882</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
+<div class="line"><a name="l02883"></a><span class="lineno"> 2883</span>  }</div>
+<div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  <span class="keywordflow">return</span> layer;</div>
+<div class="line"><a name="l02885"></a><span class="lineno"> 2885</span> }</div>
+<div class="line"><a name="l02886"></a><span class="lineno"> 2886</span>  </div>
+<div class="line"><a name="l02887"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3"> 2887</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3">NetworkImpl::AddLogicalBinaryLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_logical_binary_descriptor.html">LogicalBinaryDescriptor</a>& logicalBinaryDescriptor,</div>
+<div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02889"></a><span class="lineno"> 2889</span> {</div>
+<div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_logical_binary_layer.html">LogicalBinaryLayer</a>>(logicalBinaryDescriptor, name);</div>
+<div class="line"><a name="l02891"></a><span class="lineno"> 2891</span> }</div>
+<div class="line"><a name="l02892"></a><span class="lineno"> 2892</span>  </div>
+<div class="line"><a name="l02893"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a"> 2893</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a">NetworkImpl::AddUnidirectionalSequenceLstmLayer</a>(</div>
+<div class="line"><a name="l02894"></a><span class="lineno"> 2894</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_descriptor.html">UnidirectionalSequenceLstmDescriptor</a>& descriptor,</div>
+<div class="line"><a name="l02895"></a><span class="lineno"> 2895</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_lstm_input_params.html">LstmInputParams</a>& params,</div>
+<div class="line"><a name="l02896"></a><span class="lineno"> 2896</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l02897"></a><span class="lineno"> 2897</span> {</div>
+<div class="line"><a name="l02898"></a><span class="lineno"> 2898</span>  <span class="keyword">const</span> <span class="keyword">auto</span> layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html">UnidirectionalSequenceLstmLayer</a>>(descriptor, name);</div>
+<div class="line"><a name="l02899"></a><span class="lineno"> 2899</span>  </div>
+<div class="line"><a name="l02900"></a><span class="lineno"> 2900</span>  <span class="comment">//Lstm Basic Parameters</span></div>
+<div class="line"><a name="l02901"></a><span class="lineno"> 2901</span>  layer-><a class="code" href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">m_BasicParameters</a>.<a class="code" href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">m_InputToForgetWeights</a> =</div>
+<div class="line"><a name="l02902"></a><span class="lineno"> 2902</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">m_InputToForgetWeights</a>));</div>
+<div class="line"><a name="l02903"></a><span class="lineno"> 2903</span>  layer->m_BasicParameters.m_InputToCellWeights =</div>
+<div class="line"><a name="l02904"></a><span class="lineno"> 2904</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">m_InputToCellWeights</a>));</div>
+<div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>  layer->m_BasicParameters.m_InputToOutputWeights =</div>
+<div class="line"><a name="l02906"></a><span class="lineno"> 2906</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">m_InputToOutputWeights</a>));</div>
+<div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  layer->m_BasicParameters.m_RecurrentToForgetWeights =</div>
+<div class="line"><a name="l02908"></a><span class="lineno"> 2908</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">m_RecurrentToForgetWeights</a>));</div>
+<div class="line"><a name="l02909"></a><span class="lineno"> 2909</span>  layer->m_BasicParameters.m_RecurrentToCellWeights =</div>
+<div class="line"><a name="l02910"></a><span class="lineno"> 2910</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">m_RecurrentToCellWeights</a>));</div>
+<div class="line"><a name="l02911"></a><span class="lineno"> 2911</span>  layer->m_BasicParameters.m_RecurrentToOutputWeights =</div>
+<div class="line"><a name="l02912"></a><span class="lineno"> 2912</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a56b81ca8ba4b4937e0787e4951f043fc">m_RecurrentToOutputWeights</a>));</div>
+<div class="line"><a name="l02913"></a><span class="lineno"> 2913</span>  layer->m_BasicParameters.m_ForgetGateBias =</div>
+<div class="line"><a name="l02914"></a><span class="lineno"> 2914</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">m_ForgetGateBias</a>));</div>
+<div class="line"><a name="l02915"></a><span class="lineno"> 2915</span>  layer->m_BasicParameters.m_CellBias =</div>
+<div class="line"><a name="l02916"></a><span class="lineno"> 2916</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">m_CellBias</a>));</div>
+<div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  layer->m_BasicParameters.m_OutputGateBias =</div>
+<div class="line"><a name="l02918"></a><span class="lineno"> 2918</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">m_OutputGateBias</a>));</div>
+<div class="line"><a name="l02919"></a><span class="lineno"> 2919</span>  </div>
+<div class="line"><a name="l02920"></a><span class="lineno"> 2920</span>  <span class="comment">//Lstm Cifg parameters</span></div>
+<div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
+<div class="line"><a name="l02922"></a><span class="lineno"> 2922</span>  {</div>
+<div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
<div class="line"><a name="l02924"></a><span class="lineno"> 2924</span>  {</div>
-<div class="line"><a name="l02925"></a><span class="lineno"> 2925</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input Gate Bias cannot be NULL "</span></div>
+<div class="line"><a name="l02925"></a><span class="lineno"> 2925</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input To Input Weights cannot be NULL "</span></div>
<div class="line"><a name="l02926"></a><span class="lineno"> 2926</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
<div class="line"><a name="l02927"></a><span class="lineno"> 2927</span>  }</div>
-<div class="line"><a name="l02928"></a><span class="lineno"> 2928</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
-<div class="line"><a name="l02929"></a><span class="lineno"> 2929</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
-<div class="line"><a name="l02930"></a><span class="lineno"> 2930</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
-<div class="line"><a name="l02931"></a><span class="lineno"> 2931</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
-<div class="line"><a name="l02932"></a><span class="lineno"> 2932</span>  layer->m_CifgParameters.m_InputGateBias =</div>
-<div class="line"><a name="l02933"></a><span class="lineno"> 2933</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
-<div class="line"><a name="l02934"></a><span class="lineno"> 2934</span>  }</div>
-<div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  </div>
-<div class="line"><a name="l02936"></a><span class="lineno"> 2936</span>  <span class="comment">//Lstm projection parameters</span></div>
-<div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
-<div class="line"><a name="l02938"></a><span class="lineno"> 2938</span>  {</div>
-<div class="line"><a name="l02939"></a><span class="lineno"> 2939</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02940"></a><span class="lineno"> 2940</span>  {</div>
-<div class="line"><a name="l02941"></a><span class="lineno"> 2941</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Projection Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02942"></a><span class="lineno"> 2942</span>  <span class="stringliteral">"when projection is enabled."</span>);</div>
-<div class="line"><a name="l02943"></a><span class="lineno"> 2943</span>  }</div>
-<div class="line"><a name="l02944"></a><span class="lineno"> 2944</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
-<div class="line"><a name="l02945"></a><span class="lineno"> 2945</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
-<div class="line"><a name="l02946"></a><span class="lineno"> 2946</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02947"></a><span class="lineno"> 2947</span>  {</div>
-<div class="line"><a name="l02948"></a><span class="lineno"> 2948</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
-<div class="line"><a name="l02949"></a><span class="lineno"> 2949</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
-<div class="line"><a name="l02950"></a><span class="lineno"> 2950</span>  }</div>
-<div class="line"><a name="l02951"></a><span class="lineno"> 2951</span>  }</div>
-<div class="line"><a name="l02952"></a><span class="lineno"> 2952</span>  </div>
-<div class="line"><a name="l02953"></a><span class="lineno"> 2953</span>  <span class="comment">//Lstm Peephole params</span></div>
-<div class="line"><a name="l02954"></a><span class="lineno"> 2954</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
-<div class="line"><a name="l02955"></a><span class="lineno"> 2955</span>  {</div>
-<div class="line"><a name="l02956"></a><span class="lineno"> 2956</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02957"></a><span class="lineno"> 2957</span>  {</div>
-<div class="line"><a name="l02958"></a><span class="lineno"> 2958</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02959"></a><span class="lineno"> 2959</span>  {</div>
-<div class="line"><a name="l02960"></a><span class="lineno"> 2960</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Input Weights "</span></div>
-<div class="line"><a name="l02961"></a><span class="lineno"> 2961</span>  <span class="stringliteral">"cannot be NULL when Peephole is enabled and CIFG disabled."</span>);</div>
-<div class="line"><a name="l02962"></a><span class="lineno"> 2962</span>  }</div>
+<div class="line"><a name="l02928"></a><span class="lineno"> 2928</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02929"></a><span class="lineno"> 2929</span>  {</div>
+<div class="line"><a name="l02930"></a><span class="lineno"> 2930</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div>
+<div class="line"><a name="l02931"></a><span class="lineno"> 2931</span>  <span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Recurrent To Input Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02932"></a><span class="lineno"> 2932</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
+<div class="line"><a name="l02933"></a><span class="lineno"> 2933</span>  }</div>
+<div class="line"><a name="l02934"></a><span class="lineno"> 2934</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  {</div>
+<div class="line"><a name="l02936"></a><span class="lineno"> 2936</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input Gate Bias cannot be NULL "</span></div>
+<div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  <span class="stringliteral">"when CIFG is disabled."</span>);</div>
+<div class="line"><a name="l02938"></a><span class="lineno"> 2938</span>  }</div>
+<div class="line"><a name="l02939"></a><span class="lineno"> 2939</span>  layer->m_CifgParameters.m_InputToInputWeights =</div>
+<div class="line"><a name="l02940"></a><span class="lineno"> 2940</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">m_InputToInputWeights</a>));</div>
+<div class="line"><a name="l02941"></a><span class="lineno"> 2941</span>  layer->m_CifgParameters.m_RecurrentToInputWeights =</div>
+<div class="line"><a name="l02942"></a><span class="lineno"> 2942</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a435d3651482bbfcc11263b4e4e0c900f">m_RecurrentToInputWeights</a>));</div>
+<div class="line"><a name="l02943"></a><span class="lineno"> 2943</span>  layer->m_CifgParameters.m_InputGateBias =</div>
+<div class="line"><a name="l02944"></a><span class="lineno"> 2944</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">m_InputGateBias</a>));</div>
+<div class="line"><a name="l02945"></a><span class="lineno"> 2945</span>  }</div>
+<div class="line"><a name="l02946"></a><span class="lineno"> 2946</span>  </div>
+<div class="line"><a name="l02947"></a><span class="lineno"> 2947</span>  <span class="comment">//Lstm projection parameters</span></div>
+<div class="line"><a name="l02948"></a><span class="lineno"> 2948</span>  <span class="keywordflow">if</span>(descriptor.m_ProjectionEnabled)</div>
+<div class="line"><a name="l02949"></a><span class="lineno"> 2949</span>  {</div>
+<div class="line"><a name="l02950"></a><span class="lineno"> 2950</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02951"></a><span class="lineno"> 2951</span>  {</div>
+<div class="line"><a name="l02952"></a><span class="lineno"> 2952</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Projection Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02953"></a><span class="lineno"> 2953</span>  <span class="stringliteral">"when projection is enabled."</span>);</div>
+<div class="line"><a name="l02954"></a><span class="lineno"> 2954</span>  }</div>
+<div class="line"><a name="l02955"></a><span class="lineno"> 2955</span>  layer->m_ProjectionParameters.m_ProjectionWeights =</div>
+<div class="line"><a name="l02956"></a><span class="lineno"> 2956</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">m_ProjectionWeights</a>));</div>
+<div class="line"><a name="l02957"></a><span class="lineno"> 2957</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a> != <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02958"></a><span class="lineno"> 2958</span>  {</div>
+<div class="line"><a name="l02959"></a><span class="lineno"> 2959</span>  layer->m_ProjectionParameters.m_ProjectionBias =</div>
+<div class="line"><a name="l02960"></a><span class="lineno"> 2960</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">m_ProjectionBias</a>));</div>
+<div class="line"><a name="l02961"></a><span class="lineno"> 2961</span>  }</div>
+<div class="line"><a name="l02962"></a><span class="lineno"> 2962</span>  }</div>
<div class="line"><a name="l02963"></a><span class="lineno"> 2963</span>  </div>
-<div class="line"><a name="l02964"></a><span class="lineno"> 2964</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
-<div class="line"><a name="l02965"></a><span class="lineno"> 2965</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
-<div class="line"><a name="l02966"></a><span class="lineno"> 2966</span>  }</div>
-<div class="line"><a name="l02967"></a><span class="lineno"> 2967</span>  </div>
-<div class="line"><a name="l02968"></a><span class="lineno"> 2968</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02969"></a><span class="lineno"> 2969</span>  {</div>
-<div class="line"><a name="l02970"></a><span class="lineno"> 2970</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Forget Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02971"></a><span class="lineno"> 2971</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
-<div class="line"><a name="l02972"></a><span class="lineno"> 2972</span>  }</div>
-<div class="line"><a name="l02973"></a><span class="lineno"> 2973</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02974"></a><span class="lineno"> 2974</span>  {</div>
-<div class="line"><a name="l02975"></a><span class="lineno"> 2975</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Output Weights cannot be NULL "</span></div>
-<div class="line"><a name="l02976"></a><span class="lineno"> 2976</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
+<div class="line"><a name="l02964"></a><span class="lineno"> 2964</span>  <span class="comment">//Lstm Peephole params</span></div>
+<div class="line"><a name="l02965"></a><span class="lineno"> 2965</span>  <span class="keywordflow">if</span>(descriptor.m_PeepholeEnabled)</div>
+<div class="line"><a name="l02966"></a><span class="lineno"> 2966</span>  {</div>
+<div class="line"><a name="l02967"></a><span class="lineno"> 2967</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
+<div class="line"><a name="l02968"></a><span class="lineno"> 2968</span>  {</div>
+<div class="line"><a name="l02969"></a><span class="lineno"> 2969</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02970"></a><span class="lineno"> 2970</span>  {</div>
+<div class="line"><a name="l02971"></a><span class="lineno"> 2971</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Input Weights "</span></div>
+<div class="line"><a name="l02972"></a><span class="lineno"> 2972</span>  <span class="stringliteral">"cannot be NULL when Peephole is enabled and CIFG disabled."</span>);</div>
+<div class="line"><a name="l02973"></a><span class="lineno"> 2973</span>  }</div>
+<div class="line"><a name="l02974"></a><span class="lineno"> 2974</span>  </div>
+<div class="line"><a name="l02975"></a><span class="lineno"> 2975</span>  layer->m_PeepholeParameters.m_CellToInputWeights =</div>
+<div class="line"><a name="l02976"></a><span class="lineno"> 2976</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a484bafa2f8453a7c5a4a00b92a61b006">m_CellToInputWeights</a>));</div>
<div class="line"><a name="l02977"></a><span class="lineno"> 2977</span>  }</div>
<div class="line"><a name="l02978"></a><span class="lineno"> 2978</span>  </div>
-<div class="line"><a name="l02979"></a><span class="lineno"> 2979</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
-<div class="line"><a name="l02980"></a><span class="lineno"> 2980</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
-<div class="line"><a name="l02981"></a><span class="lineno"> 2981</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
-<div class="line"><a name="l02982"></a><span class="lineno"> 2982</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
-<div class="line"><a name="l02983"></a><span class="lineno"> 2983</span>  }</div>
-<div class="line"><a name="l02984"></a><span class="lineno"> 2984</span>  </div>
-<div class="line"><a name="l02985"></a><span class="lineno"> 2985</span>  <span class="comment">//Lstm Layer Normalization params</span></div>
-<div class="line"><a name="l02986"></a><span class="lineno"> 2986</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
-<div class="line"><a name="l02987"></a><span class="lineno"> 2987</span>  {</div>
-<div class="line"><a name="l02988"></a><span class="lineno"> 2988</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
-<div class="line"><a name="l02989"></a><span class="lineno"> 2989</span>  {</div>
-<div class="line"><a name="l02990"></a><span class="lineno"> 2990</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l02991"></a><span class="lineno"> 2991</span>  {</div>
-<div class="line"><a name="l02992"></a><span class="lineno"> 2992</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input layer normalization weights "</span></div>
-<div class="line"><a name="l02993"></a><span class="lineno"> 2993</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled and CIFG disabled."</span>);</div>
-<div class="line"><a name="l02994"></a><span class="lineno"> 2994</span>  }</div>
-<div class="line"><a name="l02995"></a><span class="lineno"> 2995</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
-<div class="line"><a name="l02996"></a><span class="lineno"> 2996</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
-<div class="line"><a name="l02997"></a><span class="lineno"> 2997</span>  }</div>
-<div class="line"><a name="l02998"></a><span class="lineno"> 2998</span>  </div>
-<div class="line"><a name="l02999"></a><span class="lineno"> 2999</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02979"></a><span class="lineno"> 2979</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02980"></a><span class="lineno"> 2980</span>  {</div>
+<div class="line"><a name="l02981"></a><span class="lineno"> 2981</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Forget Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02982"></a><span class="lineno"> 2982</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
+<div class="line"><a name="l02983"></a><span class="lineno"> 2983</span>  }</div>
+<div class="line"><a name="l02984"></a><span class="lineno"> 2984</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l02985"></a><span class="lineno"> 2985</span>  {</div>
+<div class="line"><a name="l02986"></a><span class="lineno"> 2986</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell To Output Weights cannot be NULL "</span></div>
+<div class="line"><a name="l02987"></a><span class="lineno"> 2987</span>  <span class="stringliteral">"when Peephole is enabled."</span>);</div>
+<div class="line"><a name="l02988"></a><span class="lineno"> 2988</span>  }</div>
+<div class="line"><a name="l02989"></a><span class="lineno"> 2989</span>  </div>
+<div class="line"><a name="l02990"></a><span class="lineno"> 2990</span>  layer->m_PeepholeParameters.m_CellToForgetWeights =</div>
+<div class="line"><a name="l02991"></a><span class="lineno"> 2991</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">m_CellToForgetWeights</a>));</div>
+<div class="line"><a name="l02992"></a><span class="lineno"> 2992</span>  layer->m_PeepholeParameters.m_CellToOutputWeights =</div>
+<div class="line"><a name="l02993"></a><span class="lineno"> 2993</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">m_CellToOutputWeights</a>));</div>
+<div class="line"><a name="l02994"></a><span class="lineno"> 2994</span>  }</div>
+<div class="line"><a name="l02995"></a><span class="lineno"> 2995</span>  </div>
+<div class="line"><a name="l02996"></a><span class="lineno"> 2996</span>  <span class="comment">//Lstm Layer Normalization params</span></div>
+<div class="line"><a name="l02997"></a><span class="lineno"> 2997</span>  <span class="keywordflow">if</span>(descriptor.m_LayerNormEnabled)</div>
+<div class="line"><a name="l02998"></a><span class="lineno"> 2998</span>  {</div>
+<div class="line"><a name="l02999"></a><span class="lineno"> 2999</span>  <span class="keywordflow">if</span>(!descriptor.m_CifgEnabled)</div>
<div class="line"><a name="l03000"></a><span class="lineno"> 3000</span>  {</div>
-<div class="line"><a name="l03001"></a><span class="lineno"> 3001</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Forget layer normalization weights "</span></div>
-<div class="line"><a name="l03002"></a><span class="lineno"> 3002</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
-<div class="line"><a name="l03003"></a><span class="lineno"> 3003</span>  }</div>
-<div class="line"><a name="l03004"></a><span class="lineno"> 3004</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l03005"></a><span class="lineno"> 3005</span>  {</div>
-<div class="line"><a name="l03006"></a><span class="lineno"> 3006</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell layer normalization weights "</span></div>
-<div class="line"><a name="l03007"></a><span class="lineno"> 3007</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l03001"></a><span class="lineno"> 3001</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l03002"></a><span class="lineno"> 3002</span>  {</div>
+<div class="line"><a name="l03003"></a><span class="lineno"> 3003</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Input layer normalization weights "</span></div>
+<div class="line"><a name="l03004"></a><span class="lineno"> 3004</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled and CIFG disabled."</span>);</div>
+<div class="line"><a name="l03005"></a><span class="lineno"> 3005</span>  }</div>
+<div class="line"><a name="l03006"></a><span class="lineno"> 3006</span>  layer->m_LayerNormParameters.m_InputLayerNormWeights =</div>
+<div class="line"><a name="l03007"></a><span class="lineno"> 3007</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">m_InputLayerNormWeights</a>));</div>
<div class="line"><a name="l03008"></a><span class="lineno"> 3008</span>  }</div>
-<div class="line"><a name="l03009"></a><span class="lineno"> 3009</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l03010"></a><span class="lineno"> 3010</span>  {</div>
-<div class="line"><a name="l03011"></a><span class="lineno"> 3011</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Output layer normalization weights "</span></div>
-<div class="line"><a name="l03012"></a><span class="lineno"> 3012</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
-<div class="line"><a name="l03013"></a><span class="lineno"> 3013</span>  }</div>
-<div class="line"><a name="l03014"></a><span class="lineno"> 3014</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
-<div class="line"><a name="l03015"></a><span class="lineno"> 3015</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
-<div class="line"><a name="l03016"></a><span class="lineno"> 3016</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
-<div class="line"><a name="l03017"></a><span class="lineno"> 3017</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
-<div class="line"><a name="l03018"></a><span class="lineno"> 3018</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
-<div class="line"><a name="l03019"></a><span class="lineno"> 3019</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
-<div class="line"><a name="l03020"></a><span class="lineno"> 3020</span>  }</div>
-<div class="line"><a name="l03021"></a><span class="lineno"> 3021</span>  <span class="keywordflow">return</span> layer;</div>
-<div class="line"><a name="l03022"></a><span class="lineno"> 3022</span> }</div>
-<div class="line"><a name="l03023"></a><span class="lineno"> 3023</span>  </div>
-<div class="line"><a name="l03024"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a7b74bd646ccf7ee6eaf3e23a958606ff"> 3024</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a7b74bd646ccf7ee6eaf3e23a958606ff">NetworkImpl::AddBatchMatMulLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a>& desc, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l03025"></a><span class="lineno"> 3025</span> {</div>
-<div class="line"><a name="l03026"></a><span class="lineno"> 3026</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_mat_mul_layer.html">BatchMatMulLayer</a>>(desc, name);</div>
-<div class="line"><a name="l03027"></a><span class="lineno"> 3027</span> }</div>
-<div class="line"><a name="l03028"></a><span class="lineno"> 3028</span>  </div>
-<div class="line"><a name="l03029"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195"> 3029</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195">NetworkImpl::AddReverseV2Layer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
-<div class="line"><a name="l03030"></a><span class="lineno"> 3030</span> {</div>
-<div class="line"><a name="l03031"></a><span class="lineno"> 3031</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reverse_v2_layer.html">ReverseV2Layer</a>>(name);</div>
-<div class="line"><a name="l03032"></a><span class="lineno"> 3032</span> }</div>
-<div class="line"><a name="l03033"></a><span class="lineno"> 3033</span>  </div>
-<div class="line"><a name="l03034"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98"> 3034</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98">NetworkImpl::AddTileLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> &desc, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
-<div class="line"><a name="l03035"></a><span class="lineno"> 3035</span> {</div>
-<div class="line"><a name="l03036"></a><span class="lineno"> 3036</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_tile_layer.html">TileLayer</a>>(desc, name);</div>
-<div class="line"><a name="l03037"></a><span class="lineno"> 3037</span> }</div>
-<div class="line"><a name="l03038"></a><span class="lineno"> 3038</span>  </div>
-<div class="line"><a name="l03039"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16"> 3039</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16">NetworkImpl::AddPrecompiledLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.html">PreCompiledDescriptor</a>& preCompiledDescriptor,</div>
-<div class="line"><a name="l03040"></a><span class="lineno"> 3040</span>  <a class="code" href="namespacearmnn.html#af362583b7b4c471c434cb0fdb86c2ae2">CompiledBlobPtr</a> compiledBlobPtr,</div>
-<div class="line"><a name="l03041"></a><span class="lineno"> 3041</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<BackendId></a>& backend,</div>
-<div class="line"><a name="l03042"></a><span class="lineno"> 3042</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
-<div class="line"><a name="l03043"></a><span class="lineno"> 3043</span> {</div>
-<div class="line"><a name="l03044"></a><span class="lineno"> 3044</span>  <span class="comment">// Method use is for backend users.</span></div>
-<div class="line"><a name="l03045"></a><span class="lineno"> 3045</span>  <a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>* layer;</div>
-<div class="line"><a name="l03046"></a><span class="lineno"> 3046</span>  <span class="keywordflow">if</span> (name)</div>
-<div class="line"><a name="l03047"></a><span class="lineno"> 3047</span>  {</div>
-<div class="line"><a name="l03048"></a><span class="lineno"> 3048</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>>(preCompiledDescriptor, name);</div>
-<div class="line"><a name="l03049"></a><span class="lineno"> 3049</span>  }</div>
-<div class="line"><a name="l03050"></a><span class="lineno"> 3050</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l03051"></a><span class="lineno"> 3051</span>  {</div>
-<div class="line"><a name="l03052"></a><span class="lineno"> 3052</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>>(preCompiledDescriptor, <span class="stringliteral">"pre-compiled"</span>);</div>
-<div class="line"><a name="l03053"></a><span class="lineno"> 3053</span>  }</div>
-<div class="line"><a name="l03054"></a><span class="lineno"> 3054</span>  </div>
-<div class="line"><a name="l03055"></a><span class="lineno"> 3055</span>  <span class="comment">// Assign the pre-compiled object to layer</span></div>
-<div class="line"><a name="l03056"></a><span class="lineno"> 3056</span>  <span class="comment">// Pass only one compiled network, Arm NN does not handle multiple</span></div>
-<div class="line"><a name="l03057"></a><span class="lineno"> 3057</span>  <span class="comment">// pre-compiled objects in a single pre-compiled layer currently</span></div>
-<div class="line"><a name="l03058"></a><span class="lineno"> 3058</span>  layer-><a class="code" href="classarmnn_1_1_pre_compiled_layer.html#a1e06bf299b99f9eecb2e8ac5ce7457e2">SetPreCompiledObject</a>(std::move(compiledBlobPtr));</div>
-<div class="line"><a name="l03059"></a><span class="lineno"> 3059</span>  </div>
-<div class="line"><a name="l03060"></a><span class="lineno"> 3060</span>  <span class="keywordflow">if</span> (backend.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
-<div class="line"><a name="l03061"></a><span class="lineno"> 3061</span>  {</div>
-<div class="line"><a name="l03062"></a><span class="lineno"> 3062</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div>
-<div class="line"><a name="l03063"></a><span class="lineno"> 3063</span>  }</div>
-<div class="line"><a name="l03064"></a><span class="lineno"> 3064</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer-><a class="code" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().has_value())</div>
-<div class="line"><a name="l03065"></a><span class="lineno"> 3065</span>  {</div>
-<div class="line"><a name="l03066"></a><span class="lineno"> 3066</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(layer-><a class="code" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().value());</div>
-<div class="line"><a name="l03067"></a><span class="lineno"> 3067</span>  }</div>
-<div class="line"><a name="l03068"></a><span class="lineno"> 3068</span>  </div>
-<div class="line"><a name="l03069"></a><span class="lineno"> 3069</span>  <span class="keywordflow">return</span> layer;</div>
-<div class="line"><a name="l03070"></a><span class="lineno"> 3070</span> }</div>
-<div class="line"><a name="l03071"></a><span class="lineno"> 3071</span>  </div>
-<div class="line"><a name="l03072"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921"> 3072</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921">NetworkImpl::AddBroadcastToLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_broadcast_to_descriptor.html">BroadcastToDescriptor</a> &desc, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
-<div class="line"><a name="l03073"></a><span class="lineno"> 3073</span> {</div>
-<div class="line"><a name="l03074"></a><span class="lineno"> 3074</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_broadcast_to_layer.html">BroadcastToLayer</a>>(desc, name);</div>
-<div class="line"><a name="l03075"></a><span class="lineno"> 3075</span> }</div>
-<div class="line"><a name="l03076"></a><span class="lineno"> 3076</span>  </div>
-<div class="line"><a name="l03077"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5"> 3077</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">NetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div>
-<div class="line"><a name="l03078"></a><span class="lineno"> 3078</span> <span class="keyword"></span>{</div>
-<div class="line"><a name="l03079"></a><span class="lineno"> 3079</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_network_impl.html#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>())</div>
-<div class="line"><a name="l03080"></a><span class="lineno"> 3080</span>  {</div>
-<div class="line"><a name="l03081"></a><span class="lineno"> 3081</span>  layer->ExecuteStrategy(strategy);</div>
-<div class="line"><a name="l03082"></a><span class="lineno"> 3082</span>  };</div>
-<div class="line"><a name="l03083"></a><span class="lineno"> 3083</span> }</div>
-<div class="line"><a name="l03084"></a><span class="lineno"> 3084</span>  </div>
-<div class="line"><a name="l03085"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926"> 3085</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>& other, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
-<div class="line"><a name="l03086"></a><span class="lineno"> 3086</span>  : m_Graph(new <a class="code" href="classarmnn_1_1_graph.html">Graph</a>(*other.m_Graph.get()))</div>
-<div class="line"><a name="l03087"></a><span class="lineno"> 3087</span>  , m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid())</div>
-<div class="line"><a name="l03088"></a><span class="lineno"> 3088</span>  , m_ModelOptions(modelOptions)</div>
-<div class="line"><a name="l03089"></a><span class="lineno"> 3089</span> {</div>
-<div class="line"><a name="l03090"></a><span class="lineno"> 3090</span> }</div>
-<div class="line"><a name="l03091"></a><span class="lineno"> 3091</span>  </div>
-<div class="line"><a name="l03092"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#afc73993a557309c43043aa0592fd7981"> 3092</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph)</div>
-<div class="line"><a name="l03093"></a><span class="lineno"> 3093</span>  : m_Graph(<a class="code" href="namespacestd.html">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid())</div>
-<div class="line"><a name="l03094"></a><span class="lineno"> 3094</span> {</div>
-<div class="line"><a name="l03095"></a><span class="lineno"> 3095</span> }</div>
-<div class="line"><a name="l03096"></a><span class="lineno"> 3096</span>  </div>
-<div class="line"><a name="l03097"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a9a2e9e1491ef82892e7ea2308957ff44"> 3097</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
-<div class="line"><a name="l03098"></a><span class="lineno"> 3098</span>  : m_Graph(<a class="code" href="namespacestd.html">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid()), m_ModelOptions(modelOptions)</div>
-<div class="line"><a name="l03099"></a><span class="lineno"> 3099</span> {</div>
-<div class="line"><a name="l03100"></a><span class="lineno"> 3100</span> }</div>
-<div class="line"><a name="l03101"></a><span class="lineno"> 3101</span>  </div>
-<div class="line"><a name="l03102"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b"> 3102</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b">OptimizedNetworkImpl::~OptimizedNetworkImpl</a>()</div>
-<div class="line"><a name="l03103"></a><span class="lineno"> 3103</span> {</div>
-<div class="line"><a name="l03104"></a><span class="lineno"> 3104</span> }</div>
-<div class="line"><a name="l03105"></a><span class="lineno"> 3105</span>  </div>
-<div class="line"><a name="l03106"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5"> 3106</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5">IOptimizedNetwork::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy)<span class="keyword"> const</span></div>
-<div class="line"><a name="l03107"></a><span class="lineno"> 3107</span> <span class="keyword"></span>{</div>
-<div class="line"><a name="l03108"></a><span class="lineno"> 3108</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->ExecuteStrategy(strategy);</div>
-<div class="line"><a name="l03109"></a><span class="lineno"> 3109</span> }</div>
-<div class="line"><a name="l03110"></a><span class="lineno"> 3110</span>  </div>
-<div class="line"><a name="l03111"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5"> 3111</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">OptimizedNetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy)<span class="keyword"> const</span></div>
-<div class="line"><a name="l03112"></a><span class="lineno"> 3112</span> <span class="keyword"></span>{</div>
-<div class="line"><a name="l03113"></a><span class="lineno"> 3113</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a49800ad35ea869aa5569519760d3b339">GetGraph</a>())</div>
-<div class="line"><a name="l03114"></a><span class="lineno"> 3114</span>  {</div>
-<div class="line"><a name="l03115"></a><span class="lineno"> 3115</span>  layer->ExecuteStrategy(strategy);</div>
-<div class="line"><a name="l03116"></a><span class="lineno"> 3116</span>  };</div>
-<div class="line"><a name="l03117"></a><span class="lineno"> 3117</span> }</div>
-<div class="line"><a name="l03118"></a><span class="lineno"> 3118</span>  </div>
-<div class="line"><a name="l03119"></a><span class="lineno"> 3119</span> } <span class="comment">// namespace armnn</span></div>
+<div class="line"><a name="l03009"></a><span class="lineno"> 3009</span>  </div>
+<div class="line"><a name="l03010"></a><span class="lineno"> 3010</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l03011"></a><span class="lineno"> 3011</span>  {</div>
+<div class="line"><a name="l03012"></a><span class="lineno"> 3012</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Forget layer normalization weights "</span></div>
+<div class="line"><a name="l03013"></a><span class="lineno"> 3013</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l03014"></a><span class="lineno"> 3014</span>  }</div>
+<div class="line"><a name="l03015"></a><span class="lineno"> 3015</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l03016"></a><span class="lineno"> 3016</span>  {</div>
+<div class="line"><a name="l03017"></a><span class="lineno"> 3017</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Cell layer normalization weights "</span></div>
+<div class="line"><a name="l03018"></a><span class="lineno"> 3018</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l03019"></a><span class="lineno"> 3019</span>  }</div>
+<div class="line"><a name="l03020"></a><span class="lineno"> 3020</span>  <span class="keywordflow">if</span>(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a> == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l03021"></a><span class="lineno"> 3021</span>  {</div>
+<div class="line"><a name="l03022"></a><span class="lineno"> 3022</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"AddUnidirectionalSequenceLstmLayer: Output layer normalization weights "</span></div>
+<div class="line"><a name="l03023"></a><span class="lineno"> 3023</span>  <span class="stringliteral">"cannot be NULL when layer normalization is enabled."</span>);</div>
+<div class="line"><a name="l03024"></a><span class="lineno"> 3024</span>  }</div>
+<div class="line"><a name="l03025"></a><span class="lineno"> 3025</span>  layer->m_LayerNormParameters.m_ForgetLayerNormWeights =</div>
+<div class="line"><a name="l03026"></a><span class="lineno"> 3026</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#af0f796fba1a2be9c56b4c9ee534577ee">m_ForgetLayerNormWeights</a>));</div>
+<div class="line"><a name="l03027"></a><span class="lineno"> 3027</span>  layer->m_LayerNormParameters.m_CellLayerNormWeights =</div>
+<div class="line"><a name="l03028"></a><span class="lineno"> 3028</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#ad0b8c32bb5381f4cc999093ba3b98b43">m_CellLayerNormWeights</a>));</div>
+<div class="line"><a name="l03029"></a><span class="lineno"> 3029</span>  layer->m_LayerNormParameters.m_OutputLayerNormWeights =</div>
+<div class="line"><a name="l03030"></a><span class="lineno"> 3030</span>  std::make_shared<ScopedTensorHandle>(*(params.<a class="code" href="structarmnn_1_1_lstm_input_params.html#a9b18daea2e9f42386055326fd016519a">m_OutputLayerNormWeights</a>));</div>
+<div class="line"><a name="l03031"></a><span class="lineno"> 3031</span>  }</div>
+<div class="line"><a name="l03032"></a><span class="lineno"> 3032</span>  <span class="keywordflow">return</span> layer;</div>
+<div class="line"><a name="l03033"></a><span class="lineno"> 3033</span> }</div>
+<div class="line"><a name="l03034"></a><span class="lineno"> 3034</span>  </div>
+<div class="line"><a name="l03035"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a7b74bd646ccf7ee6eaf3e23a958606ff"> 3035</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a7b74bd646ccf7ee6eaf3e23a958606ff">NetworkImpl::AddBatchMatMulLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.html">BatchMatMulDescriptor</a>& desc, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l03036"></a><span class="lineno"> 3036</span> {</div>
+<div class="line"><a name="l03037"></a><span class="lineno"> 3037</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_batch_mat_mul_layer.html">BatchMatMulLayer</a>>(desc, name);</div>
+<div class="line"><a name="l03038"></a><span class="lineno"> 3038</span> }</div>
+<div class="line"><a name="l03039"></a><span class="lineno"> 3039</span>  </div>
+<div class="line"><a name="l03040"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195"> 3040</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195">NetworkImpl::AddReverseV2Layer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
+<div class="line"><a name="l03041"></a><span class="lineno"> 3041</span> {</div>
+<div class="line"><a name="l03042"></a><span class="lineno"> 3042</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_reverse_v2_layer.html">ReverseV2Layer</a>>(name);</div>
+<div class="line"><a name="l03043"></a><span class="lineno"> 3043</span> }</div>
+<div class="line"><a name="l03044"></a><span class="lineno"> 3044</span>  </div>
+<div class="line"><a name="l03045"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98"> 3045</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98">NetworkImpl::AddTileLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_tile_descriptor.html">TileDescriptor</a> &desc, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
+<div class="line"><a name="l03046"></a><span class="lineno"> 3046</span> {</div>
+<div class="line"><a name="l03047"></a><span class="lineno"> 3047</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_tile_layer.html">TileLayer</a>>(desc, name);</div>
+<div class="line"><a name="l03048"></a><span class="lineno"> 3048</span> }</div>
+<div class="line"><a name="l03049"></a><span class="lineno"> 3049</span>  </div>
+<div class="line"><a name="l03050"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16"> 3050</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16">NetworkImpl::AddPrecompiledLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_pre_compiled_descriptor.html">PreCompiledDescriptor</a>& preCompiledDescriptor,</div>
+<div class="line"><a name="l03051"></a><span class="lineno"> 3051</span>  <a class="code" href="namespacearmnn.html#af362583b7b4c471c434cb0fdb86c2ae2">CompiledBlobPtr</a> compiledBlobPtr,</div>
+<div class="line"><a name="l03052"></a><span class="lineno"> 3052</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.html">Optional<BackendId></a>& backend,</div>
+<div class="line"><a name="l03053"></a><span class="lineno"> 3053</span>  <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
+<div class="line"><a name="l03054"></a><span class="lineno"> 3054</span> {</div>
+<div class="line"><a name="l03055"></a><span class="lineno"> 3055</span>  <span class="comment">// Method use is for backend users.</span></div>
+<div class="line"><a name="l03056"></a><span class="lineno"> 3056</span>  <a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>* layer;</div>
+<div class="line"><a name="l03057"></a><span class="lineno"> 3057</span>  <span class="keywordflow">if</span> (name)</div>
+<div class="line"><a name="l03058"></a><span class="lineno"> 3058</span>  {</div>
+<div class="line"><a name="l03059"></a><span class="lineno"> 3059</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>>(preCompiledDescriptor, name);</div>
+<div class="line"><a name="l03060"></a><span class="lineno"> 3060</span>  }</div>
+<div class="line"><a name="l03061"></a><span class="lineno"> 3061</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l03062"></a><span class="lineno"> 3062</span>  {</div>
+<div class="line"><a name="l03063"></a><span class="lineno"> 3063</span>  layer = m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_pre_compiled_layer.html">PreCompiledLayer</a>>(preCompiledDescriptor, <span class="stringliteral">"pre-compiled"</span>);</div>
+<div class="line"><a name="l03064"></a><span class="lineno"> 3064</span>  }</div>
+<div class="line"><a name="l03065"></a><span class="lineno"> 3065</span>  </div>
+<div class="line"><a name="l03066"></a><span class="lineno"> 3066</span>  <span class="comment">// Assign the pre-compiled object to layer</span></div>
+<div class="line"><a name="l03067"></a><span class="lineno"> 3067</span>  <span class="comment">// Pass only one compiled network, Arm NN does not handle multiple</span></div>
+<div class="line"><a name="l03068"></a><span class="lineno"> 3068</span>  <span class="comment">// pre-compiled objects in a single pre-compiled layer currently</span></div>
+<div class="line"><a name="l03069"></a><span class="lineno"> 3069</span>  layer-><a class="code" href="classarmnn_1_1_pre_compiled_layer.html#a1e06bf299b99f9eecb2e8ac5ce7457e2">SetPreCompiledObject</a>(std::move(compiledBlobPtr));</div>
+<div class="line"><a name="l03070"></a><span class="lineno"> 3070</span>  </div>
+<div class="line"><a name="l03071"></a><span class="lineno"> 3071</span>  <span class="keywordflow">if</span> (backend.<a class="code" href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">has_value</a>())</div>
+<div class="line"><a name="l03072"></a><span class="lineno"> 3072</span>  {</div>
+<div class="line"><a name="l03073"></a><span class="lineno"> 3073</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(backend.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div>
+<div class="line"><a name="l03074"></a><span class="lineno"> 3074</span>  }</div>
+<div class="line"><a name="l03075"></a><span class="lineno"> 3075</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (layer-><a class="code" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().has_value())</div>
+<div class="line"><a name="l03076"></a><span class="lineno"> 3076</span>  {</div>
+<div class="line"><a name="l03077"></a><span class="lineno"> 3077</span>  layer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(layer-><a class="code" href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">GetBackendHint</a>().value());</div>
+<div class="line"><a name="l03078"></a><span class="lineno"> 3078</span>  }</div>
+<div class="line"><a name="l03079"></a><span class="lineno"> 3079</span>  </div>
+<div class="line"><a name="l03080"></a><span class="lineno"> 3080</span>  <span class="keywordflow">return</span> layer;</div>
+<div class="line"><a name="l03081"></a><span class="lineno"> 3081</span> }</div>
+<div class="line"><a name="l03082"></a><span class="lineno"> 3082</span>  </div>
+<div class="line"><a name="l03083"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921"> 3083</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* <a class="code" href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921">NetworkImpl::AddBroadcastToLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_broadcast_to_descriptor.html">BroadcastToDescriptor</a> &desc, <span class="keyword">const</span> <span class="keywordtype">char</span> *name)</div>
+<div class="line"><a name="l03084"></a><span class="lineno"> 3084</span> {</div>
+<div class="line"><a name="l03085"></a><span class="lineno"> 3085</span>  <span class="keywordflow">return</span> m_Graph->AddLayer<<a class="code" href="classarmnn_1_1_broadcast_to_layer.html">BroadcastToLayer</a>>(desc, name);</div>
+<div class="line"><a name="l03086"></a><span class="lineno"> 3086</span> }</div>
+<div class="line"><a name="l03087"></a><span class="lineno"> 3087</span>  </div>
+<div class="line"><a name="l03088"></a><span class="lineno"><a class="line" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5"> 3088</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">NetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div>
+<div class="line"><a name="l03089"></a><span class="lineno"> 3089</span> <span class="keyword"></span>{</div>
+<div class="line"><a name="l03090"></a><span class="lineno"> 3090</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_network_impl.html#afe0a4f719f9752a405e71878da7012ba">GetGraph</a>())</div>
+<div class="line"><a name="l03091"></a><span class="lineno"> 3091</span>  {</div>
+<div class="line"><a name="l03092"></a><span class="lineno"> 3092</span>  layer->ExecuteStrategy(strategy);</div>
+<div class="line"><a name="l03093"></a><span class="lineno"> 3093</span>  };</div>
+<div class="line"><a name="l03094"></a><span class="lineno"> 3094</span> }</div>
+<div class="line"><a name="l03095"></a><span class="lineno"> 3095</span>  </div>
+<div class="line"><a name="l03096"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926"> 3096</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html">OptimizedNetworkImpl</a>& other, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
+<div class="line"><a name="l03097"></a><span class="lineno"> 3097</span>  : m_Graph(new <a class="code" href="classarmnn_1_1_graph.html">Graph</a>(*other.m_Graph.get()))</div>
+<div class="line"><a name="l03098"></a><span class="lineno"> 3098</span>  , m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid())</div>
+<div class="line"><a name="l03099"></a><span class="lineno"> 3099</span>  , m_ModelOptions(modelOptions)</div>
+<div class="line"><a name="l03100"></a><span class="lineno"> 3100</span> {</div>
+<div class="line"><a name="l03101"></a><span class="lineno"> 3101</span> }</div>
+<div class="line"><a name="l03102"></a><span class="lineno"> 3102</span>  </div>
+<div class="line"><a name="l03103"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#afc73993a557309c43043aa0592fd7981"> 3103</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph)</div>
+<div class="line"><a name="l03104"></a><span class="lineno"> 3104</span>  : m_Graph(<a class="code" href="namespacestd.html">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid())</div>
+<div class="line"><a name="l03105"></a><span class="lineno"> 3105</span> {</div>
+<div class="line"><a name="l03106"></a><span class="lineno"> 3106</span> }</div>
+<div class="line"><a name="l03107"></a><span class="lineno"> 3107</span>  </div>
+<div class="line"><a name="l03108"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a9a2e9e1491ef82892e7ea2308957ff44"> 3108</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">OptimizedNetworkImpl::OptimizedNetworkImpl</a>(std::unique_ptr<Graph> graph, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)</div>
+<div class="line"><a name="l03109"></a><span class="lineno"> 3109</span>  : m_Graph(<a class="code" href="namespacestd.html">std</a>::move(graph)), m_Guid(<a class="code" href="namespacearm.html">arm</a>::pipe::IProfilingService::GetNextGuid()), m_ModelOptions(modelOptions)</div>
+<div class="line"><a name="l03110"></a><span class="lineno"> 3110</span> {</div>
+<div class="line"><a name="l03111"></a><span class="lineno"> 3111</span> }</div>
+<div class="line"><a name="l03112"></a><span class="lineno"> 3112</span>  </div>
+<div class="line"><a name="l03113"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b"> 3113</a></span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b">OptimizedNetworkImpl::~OptimizedNetworkImpl</a>()</div>
+<div class="line"><a name="l03114"></a><span class="lineno"> 3114</span> {</div>
+<div class="line"><a name="l03115"></a><span class="lineno"> 3115</span> }</div>
+<div class="line"><a name="l03116"></a><span class="lineno"> 3116</span>  </div>
+<div class="line"><a name="l03117"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5"> 3117</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5">IOptimizedNetwork::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy)<span class="keyword"> const</span></div>
+<div class="line"><a name="l03118"></a><span class="lineno"> 3118</span> <span class="keyword"></span>{</div>
+<div class="line"><a name="l03119"></a><span class="lineno"> 3119</span>  <a class="code" href="classarmnn_1_1_i_optimized_network.html#a374d52340ec8dc02a819acc20fb5aa92">pOptimizedNetworkImpl</a>->ExecuteStrategy(strategy);</div>
+<div class="line"><a name="l03120"></a><span class="lineno"> 3120</span> }</div>
+<div class="line"><a name="l03121"></a><span class="lineno"> 3121</span>  </div>
+<div class="line"><a name="l03122"></a><span class="lineno"><a class="line" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5"> 3122</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">OptimizedNetworkImpl::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a> &strategy)<span class="keyword"> const</span></div>
+<div class="line"><a name="l03123"></a><span class="lineno"> 3123</span> <span class="keyword"></span>{</div>
+<div class="line"><a name="l03124"></a><span class="lineno"> 3124</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : <a class="code" href="classarmnn_1_1_optimized_network_impl.html#a49800ad35ea869aa5569519760d3b339">GetGraph</a>())</div>
+<div class="line"><a name="l03125"></a><span class="lineno"> 3125</span>  {</div>
+<div class="line"><a name="l03126"></a><span class="lineno"> 3126</span>  layer->ExecuteStrategy(strategy);</div>
+<div class="line"><a name="l03127"></a><span class="lineno"> 3127</span>  };</div>
+<div class="line"><a name="l03128"></a><span class="lineno"> 3128</span> }</div>
+<div class="line"><a name="l03129"></a><span class="lineno"> 3129</span>  </div>
+<div class="line"><a name="l03130"></a><span class="lineno"> 3130</span> } <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a8a3380be13fba749fc4208214b049347"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a8a3380be13fba749fc4208214b049347">armnn::INetwork::AddReshapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddReshapeLayer(const ReshapeDescriptor &reshapeDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a reshape layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00474">Network.cpp:474</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_layer_html"><div class="ttname"><a href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.html#l00013">InputLayer.hpp:13</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af1853466264ac187607c96b501a74e2b"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af1853466264ac187607c96b501a74e2b">armnn::NetworkImpl::AddDepthToSpaceLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthToSpaceLayer(const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02262">Network.cpp:2262</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af1853466264ac187607c96b501a74e2b"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af1853466264ac187607c96b501a74e2b">armnn::NetworkImpl::AddDepthToSpaceLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthToSpaceLayer(const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02273">Network.cpp:2273</a></div></div>
<div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00828">Descriptors.hpp:828</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a41fd7b56923d5625bac2cbfebed1a393"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393">armnn::NetworkImpl::AddTransposeConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &descriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02655">Network.cpp:2655</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a41fd7b56923d5625bac2cbfebed1a393"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a41fd7b56923d5625bac2cbfebed1a393">armnn::NetworkImpl::AddTransposeConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &descriptor, const ConstTensor &weights, const Optional< ConstTensor > &biases, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02666">Network.cpp:2666</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr< INetwork, void(*)(INetwork *network)> INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00339">INetwork.hpp:339</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d"><div class="ttname"><a href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3a5a3e0409dae79a7940aade8d399dcd5d">armnn::CapabilityClass::FallbackImportDisabled</a></div><div class="ttdeci">@ FallbackImportDisabled</div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a9c0a3a9a388a01bc21e20a16e70055f0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a9c0a3a9a388a01bc21e20a16e70055f0">armnn::optimizations::InsertDebugToFileLayer</a></div><div class="ttdeci">OptimizeForType< Layer, AddDebugToFileImpl > InsertDebugToFileLayer</div><div class="ttdef"><b>Definition:</b> <a href="_add_debug_8hpp_source.html#l00054">AddDebug.hpp:54</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_af6b8b1eccd67565e345e3977a4adc195"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af6b8b1eccd67565e345e3977a4adc195">armnn::INetwork::AddReverseV2Layer</a></div><div class="ttdeci">IConnectableLayer * AddReverseV2Layer(const char *name=nullptr)</div><div class="ttdoc">Add a ReverseV2 layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00649">Network.cpp:649</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_html_a41a657cfacb52a80a73575c5c730ab88"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#a41a657cfacb52a80a73575c5c730ab88">armnn::OptimizationResult::m_Error</a></div><div class="ttdeci">bool m_Error</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00263">Network.hpp:263</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00340">INetwork.hpp:340</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::IOptimizedNetwork::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03106">Network.cpp:3106</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::IOptimizedNetwork::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03117">Network.cpp:3117</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac39f2b15d34d3e2fc74d586fc3e26231"><div class="ttname"><a href="namespacearmnn.html#ac39f2b15d34d3e2fc74d586fc3e26231">armnn::ApplyBackendOptimizations</a></div><div class="ttdeci">OptimizationResult ApplyBackendOptimizations(OptimizedNetworkImpl *optNetObjPtr, BackendSettings &backendSettings, BackendsMap &backends, const ModelOptions &modelOptions, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01328">Network.cpp:1328</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_parameters_html_a281954ff495d27f7a29e42a98768c670"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_parameters.html#a281954ff495d27f7a29e42a98768c670">armnn::QuantizedLstmParameters::m_InputToInputWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToInputWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [outputSize, inputSize] (QAsymm8).</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00017">QuantizedLstmLayer.hpp:17</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_ae83131e16df1cace69395a5f99bc5ecb"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#ae83131e16df1cace69395a5f99bc5ecb">armnn::LstmInputParams::m_RecurrentToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00045">LstmParams.hpp:45</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a8c0b43721b8e82c9518e4a53b47c78e4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a8c0b43721b8e82c9518e4a53b47c78e4">armnn::OptimizerOptionsOpaque::SetExportEnabled</a></div><div class="ttdeci">void SetExportEnabled(bool ExportState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00116">Network.cpp:116</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a1aa567f46c30960851c02847dc7b4215"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a1aa567f46c30960851c02847dc7b4215">armnn::INetwork::AddConstantLayer</a></div><div class="ttdeci">IConnectableLayer * AddConstantLayer(const ConstTensor &input, const char *name=nullptr)</div><div class="ttdoc">Adds a layer with no inputs and a single output, which always corresponds to the passed in constant t...</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00468">Network.cpp:468</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::INetwork::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00666">Network.cpp:666</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a1ff7534e1254dfb3ef8288194cca7ce3"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3">armnn::NetworkImpl::AddLogicalBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogicalBinaryLayer(const LogicalBinaryDescriptor &logicalBinaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02876">Network.cpp:2876</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a1ff7534e1254dfb3ef8288194cca7ce3"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a1ff7534e1254dfb3ef8288194cca7ce3">armnn::NetworkImpl::AddLogicalBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogicalBinaryLayer(const LogicalBinaryDescriptor &logicalBinaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02887">Network.cpp:2887</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeaec0fc0100c4fc1ce4eea230c3dc10360">armnn::Compute::Undefined</a></div><div class="ttdeci">@ Undefined</div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a1691bf16df2cabf1a4b82aecbb021f31"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a1691bf16df2cabf1a4b82aecbb021f31">armnn::QuantizedLstmInputParams::GetOutputGateBias</a></div><div class="ttdeci">const ConstTensor & GetOutputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00113">QuantizedLstmParams.hpp:113</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_af29f6883785691ef946d0c32b6d2f338"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#af29f6883785691ef946d0c32b6d2f338">armnn::OutputSlot::SetTensorHandleFactory</a></div><div class="ttdeci">void SetTensorHandleFactory(const ITensorHandleFactory::FactoryId &id)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00200">Layer.cpp:200</a></div></div>
@@ -3246,13 +3257,13 @@
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a880db527e7dbf8d0de3fee52ba072482"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a880db527e7dbf8d0de3fee52ba072482">armnn::IOptimizedNetwork::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > & GetProfiler() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00715">Network.cpp:715</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div><div class="ttdeci">@ Permute</div></div>
<div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a471991a84030eb3ae601da2bee757870">armnn::NetworkImpl::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &fullyConnectedDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02222">Network.cpp:2222</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a471991a84030eb3ae601da2bee757870">armnn::NetworkImpl::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &fullyConnectedDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02233">Network.cpp:2233</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a2acbae0b9e98c94b843677484775c86a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a2acbae0b9e98c94b843677484775c86a">armnn::INetwork::AddQLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQLstmLayer(const QLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdoc">Add a QLstm layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00616">Network.cpp:616</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_aa52c06792e18dc13030e82476f706f9e"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#aa52c06792e18dc13030e82476f706f9e">armnn::optimizations::FuseBatchNormIntoConvolution2DFloat32</a></div><div class="ttdeci">OptimizeForExclusiveConnection< Convolution2dLayer, BatchNormalizationLayer, FuseBatchNorm< Convolution2dLayer, armnn::DataType::Float32 > > FuseBatchNormIntoConvolution2DFloat32</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_batch_norm_8hpp_source.html#l00222">FuseBatchNorm.hpp:222</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_html"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html">armnn::BackendSettings</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.html#l00018">BackendSettings.hpp:18</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_rank_layer_html"><div class="ttname"><a href="classarmnn_1_1_rank_layer.html">armnn::RankLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_rank_layer_8hpp_source.html#l00013">RankLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00507">Descriptors.hpp:507</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af6b8b1eccd67565e345e3977a4adc195"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195">armnn::NetworkImpl::AddReverseV2Layer</a></div><div class="ttdeci">IConnectableLayer * AddReverseV2Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03029">Network.cpp:3029</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af6b8b1eccd67565e345e3977a4adc195"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af6b8b1eccd67565e345e3977a4adc195">armnn::NetworkImpl::AddReverseV2Layer</a></div><div class="ttdeci">IConnectableLayer * AddReverseV2Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03040">Network.cpp:3040</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_html_a2a35773a5a0e08b180a12205c3e15500"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#a2a35773a5a0e08b180a12205c3e15500">armnn::OptimizationResult::IsWarningOnly</a></div><div class="ttdeci">bool IsWarningOnly() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00275">Network.hpp:275</a></div></div>
<div class="ttc" id="anamespacearm_html"><div class="ttname"><a href="namespacearm.html">arm</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8hpp_source.html#l00015">BackendRegistry.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a72f7f58c37d9d856fcb648b5fa68cf59"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a72f7f58c37d9d856fcb648b5fa68cf59">armnn::INetwork::AddCastLayer</a></div><div class="ttdeci">IConnectableLayer * AddCastLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a cast layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00253">Network.cpp:253</a></div></div>
@@ -3269,7 +3280,7 @@
<div class="ttc" id="aclassarmnn_1_1_splitter_layer_html"><div class="ttname"><a href="classarmnn_1_1_splitter_layer.html">armnn::SplitterLayer</a></div><div class="ttdoc">This layer represents a split operation.</div><div class="ttdef"><b>Definition:</b> <a href="_splitter_layer_8hpp_source.html#l00013">SplitterLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_concat_layer_html"><div class="ttname"><a href="classarmnn_1_1_concat_layer.html">armnn::ConcatLayer</a></div><div class="ttdoc">This layer represents a merge operation.</div><div class="ttdef"><b>Definition:</b> <a href="_concat_layer_8hpp_source.html#l00013">ConcatLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aeafaa4524e3df19ada32643ce9a222362b">armnn::Compute::GpuAcc</a></div><div class="ttdeci">@ GpuAcc</div><div class="ttdoc">GPU Execution: OpenCL: ArmCompute.</div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ab067ba4ee9416d93abb8a52f3dc8feba"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba">armnn::NetworkImpl::AddTransposeLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeLayer(const TransposeDescriptor &transposeDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02677">Network.cpp:2677</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ab067ba4ee9416d93abb8a52f3dc8feba"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ab067ba4ee9416d93abb8a52f3dc8feba">armnn::NetworkImpl::AddTransposeLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeLayer(const TransposeDescriptor &transposeDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02688">Network.cpp:2688</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_profiler_manager_html_a7b1e3e5bf386004541be2b5b22443208"><div class="ttname"><a href="classarmnn_1_1_profiler_manager.html#a7b1e3e5bf386004541be2b5b22443208">armnn::ProfilerManager::RegisterProfiler</a></div><div class="ttdeci">void RegisterProfiler(IProfiler *profiler)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.html#l00600">Profiling.cpp:600</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a39f1b38d89c4de186742eafcbb3b1319">armnn::INetwork::AddAdditionLayer</a></div><div class="ttdeci">IConnectableLayer * AddAdditionLayer(const char *name=nullptr)</div><div class="ttdoc">Adds an addition layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00409">Network.cpp:409</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad31c56533e4f9f9f51719599fbfcf7bb"><div class="ttname"><a href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">armnn::InsertConvertFp16ToFp32LayersBefore</a></div><div class="ttdeci">std::vector< ConvertFp16ToFp32Layer * > InsertConvertFp16ToFp32LayersBefore(Graph &graph, Layer &layer, bool expectCorrectInputType)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00040">NetworkUtils.cpp:40</a></div></div>
@@ -3277,15 +3288,15 @@
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html">armnn::QLstmLayer</a></div><div class="ttdoc">This layer represents a QLstm operation.</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00079">QLstmLayer.hpp:79</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html_ad6521013ad981519904822f2ada2c4ec"><div class="ttname"><a href="classarmnn_1_1_graph.html#ad6521013ad981519904822f2ada2c4ec">armnn::Graph::ForEachLayer</a></div><div class="ttdeci">void ForEachLayer(Func func) const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00040">Graph.hpp:40</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a383e74ef080d4a81b8b371be4b840248"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a383e74ef080d4a81b8b371be4b840248">armnn::NetworkImpl::AddConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution2dLayer(const Convolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02240">Network.cpp:2240</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a383e74ef080d4a81b8b371be4b840248"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a383e74ef080d4a81b8b371be4b840248">armnn::NetworkImpl::AddConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution2dLayer(const Convolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02251">Network.cpp:2251</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_html_a9a98946a64f3893b085f650932c9dfee"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.html#a9a98946a64f3893b085f650932c9dfee">armnn::BackendOptions::BackendOption::GetName</a></div><div class="ttdeci">std::string GetName() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00251">BackendOptions.hpp:251</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a35e19d74e14ce4cec0261b799a39c921"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921">armnn::NetworkImpl::AddBroadcastToLayer</a></div><div class="ttdeci">IConnectableLayer * AddBroadcastToLayer(const BroadcastToDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03072">Network.cpp:3072</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a35e19d74e14ce4cec0261b799a39c921"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a35e19d74e14ce4cec0261b799a39c921">armnn::NetworkImpl::AddBroadcastToLayer</a></div><div class="ttdeci">IConnectableLayer * AddBroadcastToLayer(const BroadcastToDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03083">Network.cpp:3083</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a2bb6d411e26a7eb77664bd7040e7e8ab"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a2bb6d411e26a7eb77664bd7040e7e8ab">armnn::OptimizerOptionsOpaque::operator=</a></div><div class="ttdeci">OptimizerOptionsOpaque & operator=(OptimizerOptionsOpaque other)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00096">Network.cpp:96</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#aff3fde909d22ed157046682e70129259">armnn::OptimizedNetworkImpl::PrintGraph</a></div><div class="ttdeci">virtual Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00735">Network.cpp:735</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a8de6b047fcaff95df48dca683e1f3aa4"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a8de6b047fcaff95df48dca683e1f3aa4">armnn::INetwork::AddSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddSliceLayer(const SliceDescriptor &sliceDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a slice layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00388">Network.cpp:388</a></div></div>
<div class="ttc" id="a_device_spec_8hpp_html"><div class="ttname"><a href="_device_spec_8hpp.html">DeviceSpec.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a44b0e6b16708df7f0d2bbab141688aaa"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a44b0e6b16708df7f0d2bbab141688aaa">armnn::LstmInputParams::m_ProjectionBias</a></div><div class="ttdeci">const ConstTensor * m_ProjectionBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00056">LstmParams.hpp:56</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaeb550250a93542aef8ef68fbfdd8e98"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98">armnn::NetworkImpl::AddTileLayer</a></div><div class="ttdeci">IConnectableLayer * AddTileLayer(const TileDescriptor &tileDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03034">Network.cpp:3034</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaeb550250a93542aef8ef68fbfdd8e98"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aaeb550250a93542aef8ef68fbfdd8e98">armnn::NetworkImpl::AddTileLayer</a></div><div class="ttdeci">IConnectableLayer * AddTileLayer(const TileDescriptor &tileDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03045">Network.cpp:3045</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_normalization_layer.html">armnn::NormalizationLayer</a></div><div class="ttdoc">This layer represents a normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_normalization_layer_8hpp_source.html#l00013">NormalizationLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_1_1_backend_option_html_a9dd404db54065d13616225910db3dec4"><div class="ttname"><a href="structarmnn_1_1_backend_options_1_1_backend_option.html#a9dd404db54065d13616225910db3dec4">armnn::BackendOptions::BackendOption::GetValue</a></div><div class="ttdeci">Var GetValue() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00252">BackendOptions.hpp:252</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling3d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling3d_descriptor.html">armnn::Pooling3dDescriptor</a></div><div class="ttdoc">A Pooling3dDescriptor for the Pooling3dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00431">Descriptors.hpp:431</a></div></div>
@@ -3294,7 +3305,7 @@
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a1759754ccb88ecc9af44f3aae6e244ee"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a1759754ccb88ecc9af44f3aae6e244ee">armnn::LstmInputParams::m_RecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_RecurrentToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00046">LstmParams.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_log_softmax_layer_html"><div class="ttname"><a href="classarmnn_1_1_log_softmax_layer.html">armnn::LogSoftmaxLayer</a></div><div class="ttdoc">This layer represents a log softmax operation.</div><div class="ttdef"><b>Definition:</b> <a href="_log_softmax_layer_8hpp_source.html#l00014">LogSoftmaxLayer.hpp:14</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a98f54d4391347d517c7a7869e7707203"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a98f54d4391347d517c7a7869e7707203">armnn::optimizations::TransposeAndBatchToSpaceAsDepthToSpace</a></div><div class="ttdeci">OptimizeForConnection< TransposeLayer, BatchToSpaceNdLayer, PermuteAndBatchToSpaceAsDepthToSpaceImpl< TransposeLayer > > TransposeAndBatchToSpaceAsDepthToSpace</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.html#l00104">PermuteAndBatchToSpaceAsDepthToSpace.hpp:104</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0aeb4e528cf6ba4b7caca14a94fbcafe"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe">armnn::NetworkImpl::AddDivisionLayer</a></div><div class="ttdeci">IConnectableLayer * AddDivisionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02593">Network.cpp:2593</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0aeb4e528cf6ba4b7caca14a94fbcafe"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a0aeb4e528cf6ba4b7caca14a94fbcafe">armnn::NetworkImpl::AddDivisionLayer</a></div><div class="ttdeci">IConnectableLayer * AddDivisionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02604">Network.cpp:2604</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a4a9d678146f572808a361dbdc5489f38"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a4a9d678146f572808a361dbdc5489f38">armnn::LstmInputParams::m_CellBias</a></div><div class="ttdeci">const ConstTensor * m_CellBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00053">LstmParams.hpp:53</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_broadcast_to_layer_html"><div class="ttname"><a href="classarmnn_1_1_broadcast_to_layer.html">armnn::BroadcastToLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_broadcast_to_layer_8hpp_source.html#l00013">BroadcastToLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a2dfc280952c7939299c304fcbf855b97"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">armnn::BatchNormalizationLayer::m_Mean</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Mean</div><div class="ttdoc">A unique pointer to store Mean values.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00019">BatchNormalizationLayer.hpp:19</a></div></div>
@@ -3304,7 +3315,7 @@
<div class="ttc" id="anamespacearmnn_html_ad52508167694d6d259525b3eec1a4267"><div class="ttname"><a href="namespacearmnn.html#ad52508167694d6d259525b3eec1a4267">armnn::CalculateSlotOption</a></div><div class="ttdeci">ITensorHandleFactory::FactoryId CalculateSlotOption(BackendsMap &backends, OutputSlot &outputSlot, TensorHandleFactoryRegistry &registry, bool exportEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01573">Network.cpp:1573</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a6ff80e440308295056b57e2adaa42888"><div class="ttname"><a href="classarmnn_1_1_layer.html#a6ff80e440308295056b57e2adaa42888">armnn::Layer::GetBackendHint</a></div><div class="ttdeci">Optional< BackendId > GetBackendHint() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00355">Layer.hpp:355</a></div></div>
<div class="ttc" id="astructarmnn_1_1_arg_min_max_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_arg_min_max_descriptor.html">armnn::ArgMinMaxDescriptor</a></div><div class="ttdoc">An ArgMinMaxDescriptor for ArgMinMaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00067">Descriptors.hpp:67</a></div></div>
-<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a279d0a7c56966cea334303d48a874964"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a279d0a7c56966cea334303d48a874964">armnn::optimizations::FoldPadIntoPooling2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, Pooling2dLayer, pad_fold::FoldPadIntoPooling2dImpl > FoldPadIntoPooling2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.html#l00260">FoldPadIntoLayer2d.hpp:260</a></div></div>
+<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a279d0a7c56966cea334303d48a874964"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a279d0a7c56966cea334303d48a874964">armnn::optimizations::FoldPadIntoPooling2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, Pooling2dLayer, pad_fold::FoldPadIntoPooling2dImpl > FoldPadIntoPooling2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.html#l00283">FoldPadIntoLayer2d.hpp:283</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdeci">@ CpuRef</div><div class="ttdoc">CPU Execution: Reference C++ kernels.</div></div>
<div class="ttc" id="aclassarmnn_1_1_pooling3d_layer_html"><div class="ttname"><a href="classarmnn_1_1_pooling3d_layer.html">armnn::Pooling3dLayer</a></div><div class="ttdoc">This layer represents a pooling 3d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pooling3d_layer_8hpp_source.html#l00013">Pooling3dLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_instance_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_instance_normalization_descriptor.html">armnn::InstanceNormalizationDescriptor</a></div><div class="ttdoc">An InstanceNormalizationDescriptor for InstanceNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00847">Descriptors.hpp:847</a></div></div>
@@ -3313,7 +3324,7 @@
<div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.html#l00023">TensorHandleFactoryRegistry.hpp:23</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_output_slot.html">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00100">Layer.hpp:100</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_depthwise_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.html">armnn::DepthwiseConvolution2dLayer</a></div><div class="ttdoc">This layer represents a depthwise convolution 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.html#l00015">DepthwiseConvolution2dLayer.hpp:15</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a39f1b38d89c4de186742eafcbb3b1319">armnn::NetworkImpl::AddAdditionLayer</a></div><div class="ttdeci">IConnectableLayer * AddAdditionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02349">Network.cpp:2349</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a39f1b38d89c4de186742eafcbb3b1319"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a39f1b38d89c4de186742eafcbb3b1319">armnn::NetworkImpl::AddAdditionLayer</a></div><div class="ttdeci">IConnectableLayer * AddAdditionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02360">Network.cpp:2360</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">armnn::OutputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00087">Layer.cpp:87</a></div></div>
<div class="ttc" id="astructarmnn_1_1_gather_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_gather_descriptor.html">armnn::GatherDescriptor</a></div><div class="ttdoc">A GatherDescriptor for the GatherLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00965">Descriptors.hpp:965</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ad4726f9b7dd11db250d2a494a8a39494"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ad4726f9b7dd11db250d2a494a8a39494">armnn::INetwork::AddMeanLayer</a></div><div class="ttdeci">IConnectableLayer * AddMeanLayer(const MeanDescriptor &meanDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add a Mean layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00529">Network.cpp:529</a></div></div>
@@ -3327,9 +3338,9 @@
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a8d8179a4a0703602a5d7dbb6e92eaf69"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a8d8179a4a0703602a5d7dbb6e92eaf69">armnn::IOptimizedNetwork::GetNumInputs</a></div><div class="ttdeci">size_t GetNumInputs() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00725">Network.cpp:725</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ac66bb5773d48442282eeca81b851494f"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ac66bb5773d48442282eeca81b851494f">armnn::INetwork::AddTileLayer</a></div><div class="ttdeci">IConnectableLayer * AddTileLayer(const TileDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a Tile layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00654">Network.cpp:654</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6f6d81d8a4f1f85f3616e8306760061c">armnn::NetworkImpl::AddSplitterLayer</a></div><div class="ttdeci">IConnectableLayer * AddSplitterLayer(const ViewsDescriptor &splitterDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02333">Network.cpp:2333</a></div></div>
-<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a8b394ff60ed829a91f07deac476f3db2"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a8b394ff60ed829a91f07deac476f3db2">armnn::optimizations::FoldPadIntoConvolution2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, Convolution2dLayer, pad_fold::FoldPadIntoConvolution2dImpl > FoldPadIntoConvolution2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.html#l00254">FoldPadIntoLayer2d.hpp:254</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::OptimizedNetworkImpl::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03111">Network.cpp:3111</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6f6d81d8a4f1f85f3616e8306760061c">armnn::NetworkImpl::AddSplitterLayer</a></div><div class="ttdeci">IConnectableLayer * AddSplitterLayer(const ViewsDescriptor &splitterDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02344">Network.cpp:2344</a></div></div>
+<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a8b394ff60ed829a91f07deac476f3db2"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a8b394ff60ed829a91f07deac476f3db2">armnn::optimizations::FoldPadIntoConvolution2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, Convolution2dLayer, pad_fold::FoldPadIntoConvolution2dImpl > FoldPadIntoConvolution2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.html#l00277">FoldPadIntoLayer2d.hpp:277</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::OptimizedNetworkImpl::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03122">Network.cpp:3122</a></div></div>
<div class="ttc" id="astructarmnn_1_1_l2_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_l2_normalization_descriptor.html">armnn::L2NormalizationDescriptor</a></div><div class="ttdoc">A L2NormalizationDescriptor for the L2NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00809">Descriptors.hpp:809</a></div></div>
<div class="ttc" id="a_all_8hpp_html"><div class="ttname"><a href="_all_8hpp.html">All.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_fused_layer_html"><div class="ttname"><a href="classarmnn_1_1_fused_layer.html">armnn::FusedLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_fused_layer_8hpp_source.html#l00019">FusedLayer.hpp:19</a></div></div>
@@ -3340,31 +3351,31 @@
<div class="ttc" id="aclassarmnn_1_1_optimization_views_html_ad5fee4381bf82ffa37658dddf4d1fa01"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#ad5fee4381bf82ffa37658dddf4d1fa01">armnn::OptimizationViews::GetFailedSubgraphs</a></div><div class="ttdeci">const Subgraphs & GetFailedSubgraphs() const</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00059">OptimizationViews.hpp:59</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00233">TypesUtils.hpp:233</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_aaff51346dadec2c1430abf007fed4cc9"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aaff51346dadec2c1430abf007fed4cc9">armnn::INetwork::AddL2NormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddL2NormalizationLayer(const L2NormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdoc">Adds an L2 normalization layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00456">Network.cpp:456</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00201">Tensor.hpp:201</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a26794f014974a6f963a8925de07bffeb">armnn::IOptimizedNetwork::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &stream) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00710">Network.cpp:710</a></div></div>
<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00769">Descriptors.hpp:769</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a4dfbdc8cc90b67e74eccd146d977ff66"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a4dfbdc8cc90b67e74eccd146d977ff66">armnn::optimizations::ConvertConstDequantisationLayersToConstLayers</a></div><div class="ttdeci">OptimizeForConnection< ConstantLayer, DequantizeLayer, ConvertConstDequantisationLayersToConstLayersImpl > ConvertConstDequantisationLayersToConstLayers</div><div class="ttdef"><b>Definition:</b> <a href="_convert_const_dequantisation_layers_to_const_layers_8hpp_source.html#l00173">ConvertConstDequantisationLayersToConstLayers.hpp:173</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_aa1b6106cb25d38e369fd647f4324cebe"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#aa1b6106cb25d38e369fd647f4324cebe">armnn::IOptimizedNetwork::GetGuid</a></div><div class="ttdeci">arm::pipe::ProfilingGuid GetGuid() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00720">Network.cpp:720</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_af7a1f38591d1a19952ac13515becc894"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#af7a1f38591d1a19952ac13515becc894">armnn::OptimizerOptionsOpaque::GetExportEnabled</a></div><div class="ttdeci">bool GetExportEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00166">Network.cpp:166</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af13795cdf49e63d8bc3cb409592cdb9d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d">armnn::NetworkImpl::AddSubtractionLayer</a></div><div class="ttdeci">IConnectableLayer * AddSubtractionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02598">Network.cpp:2598</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af13795cdf49e63d8bc3cb409592cdb9d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af13795cdf49e63d8bc3cb409592cdb9d">armnn::NetworkImpl::AddSubtractionLayer</a></div><div class="ttdeci">IConnectableLayer * AddSubtractionLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02609">Network.cpp:2609</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ac7dca3e9f2ab2f2c64b42fc59a67188a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ac7dca3e9f2ab2f2c64b42fc59a67188a">armnn::INetwork::AddComparisonLayer</a></div><div class="ttdeci">IConnectableLayer * AddComparisonLayer(const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add a Comparison layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00258">Network.cpp:258</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a05c07a263bb054a828db2fe3f841e31f"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a05c07a263bb054a828db2fe3f841e31f">armnn::OptimizerOptionsOpaque::~OptimizerOptionsOpaque</a></div><div class="ttdeci">~OptimizerOptionsOpaque()</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#aff3fde909d22ed157046682e70129259">armnn::IOptimizedNetwork::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00705">Network.cpp:705</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac5c93cad39a690af862d49ffaec0d3c0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ac5c93cad39a690af862d49ffaec0d3c0">armnn::NetworkImpl::AddStridedSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddStridedSliceLayer(const StridedSliceDescriptor &stridedSliceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02634">Network.cpp:2634</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a5918588fa316cf4c23f1cf02c81ee706"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a5918588fa316cf4c23f1cf02c81ee706">armnn::optimizations::MoveTransposeUp</a></div><div class="ttdeci">OptimizeForConnection< Layer, TransposeLayer, MoveTransposeUpImpl > MoveTransposeUp</div><div class="ttdef"><b>Definition:</b> <a href="_move_transpose_up_8hpp_source.html#l00083">MoveTransposeUp.hpp:83</a></div></div>
<div class="ttc" id="astructarmnn_1_1_channel_shuffle_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_channel_shuffle_descriptor.html">armnn::ChannelShuffleDescriptor</a></div><div class="ttdoc">A ChannelShuffleDescriptor for the ChannelShuffle operator.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01562">Descriptors.hpp:1562</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a83b33973ca12078166b2436b313627b9"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a83b33973ca12078166b2436b313627b9">armnn::NetworkImpl::AddLogSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogSoftmaxLayer(const LogSoftmaxDescriptor &logSoftmaxDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02425">Network.cpp:2425</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ad443897d51b291c83d81d809af07f4e0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ad443897d51b291c83d81d809af07f4e0">armnn::NetworkImpl::~NetworkImpl</a></div><div class="ttdeci">~NetworkImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02178">Network.cpp:2178</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_unidirectional_sequence_lstm_layer_html_a8838b317568861294a9df608221f185e"><div class="ttname"><a href="classarmnn_1_1_unidirectional_sequence_lstm_layer.html#a8838b317568861294a9df608221f185e">armnn::UnidirectionalSequenceLstmLayer::m_BasicParameters</a></div><div class="ttdeci">LstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_unidirectional_sequence_lstm_layer_8hpp_source.html#l00020">UnidirectionalSequenceLstmLayer.hpp:20</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html_a6cc2c46f05be1d3bf113d632aed1e496"><div class="ttname"><a href="classarmnn_1_1_graph.html#a6cc2c46f05be1d3bf113d632aed1e496">armnn::Graph::VerifyConstantLayerSetTensorInfo</a></div><div class="ttdeci">void VerifyConstantLayerSetTensorInfo() const</div><div class="ttdoc">For each ConstantLayer in Graph, ensures TensorInfo is set on all output slots.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.html#l00581">Graph.cpp:581</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a471991a84030eb3ae601da2bee757870"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a471991a84030eb3ae601da2bee757870">armnn::INetwork::AddFullyConnectedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFullyConnectedLayer(const FullyConnectedDescriptor &fullyConnectedDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a fully connected layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00332">Network.cpp:332</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ad4726f9b7dd11db250d2a494a8a39494"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ad4726f9b7dd11db250d2a494a8a39494">armnn::NetworkImpl::AddMeanLayer</a></div><div class="ttdeci">IConnectableLayer * AddMeanLayer(const MeanDescriptor &meanDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02614">Network.cpp:2614</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a49800ad35ea869aa5569519760d3b339"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#a49800ad35ea869aa5569519760d3b339">armnn::OptimizedNetworkImpl::GetGraph</a></div><div class="ttdeci">Graph & GetGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_optimized_network_impl_8hpp_source.html#l00027">OptimizedNetworkImpl.hpp:27</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_html_aca1654c65182fe4e7d5fd45f556fcd57"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#aca1654c65182fe4e7d5fd45f556fcd57">armnn::OptimizationResult::IsError</a></div><div class="ttdeci">bool IsError() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00277">Network.hpp:277</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html">armnn::TransposeConvolution2dLayer</a></div><div class="ttdoc">This layer represents a 2D transpose convolution operation.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.html#l00015">TransposeConvolution2dLayer.hpp:15</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_prelu_layer_html"><div class="ttname"><a href="classarmnn_1_1_prelu_layer.html">armnn::PreluLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_prelu_layer_8hpp_source.html#l00014">PreluLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_aead50fe5965878e58cfdbe782736fa2a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aead50fe5965878e58cfdbe782736fa2a">armnn::INetwork::AddBatchMatMulLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchMatMulLayer(const BatchMatMulDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a BatchMatMul layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00643">Network.cpp:643</a></div></div>
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@@ -3377,13 +3388,13 @@
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_abe2f78445ce58bc35eff698bf77f42d0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#abe2f78445ce58bc35eff698bf77f42d0">armnn::optimizations::BroadcastToOptimizationLayer</a></div><div class="ttdeci">OptimizeForType< BroadcastToLayer, DeleteBroadcastToImpl > BroadcastToOptimizationLayer</div><div class="ttdef"><b>Definition:</b> <a href="_delete_broadcast_to_8hpp_source.html#l00038">DeleteBroadcastTo.hpp:38</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a83b33973ca12078166b2436b313627b9"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a83b33973ca12078166b2436b313627b9">armnn::INetwork::AddLogSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogSoftmaxLayer(const LogSoftmaxDescriptor &logSoftmaxDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a log softmax layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00462">Network.cpp:462</a></div></div>
<div class="ttc" id="a_deprecated_8hpp_html_ab66a241a0ed3ee89c866e777b035d0ed"><div class="ttname"><a href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="ttdeci">#define ARMNN_NO_DEPRECATE_WARN_BEGIN</div><div class="ttdef"><b>Definition:</b> <a href="_deprecated_8hpp_source.html#l00033">Deprecated.hpp:33</a></div></div>
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<div class="ttc" id="aclassarmnn_1_1_graph_html_acc25db0641c1c22faf95af3bb49080c9"><div class="ttname"><a href="classarmnn_1_1_graph.html#acc25db0641c1c22faf95af3bb49080c9">armnn::Graph::Iterator</a></div><div class="ttdeci">LayerList::const_iterator Iterator</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00053">Graph.hpp:53</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_afe204ca375b74e9a72640c9227918d0a"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#afe204ca375b74e9a72640c9227918d0a">armnn::LstmInputParams::m_CellToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00050">LstmParams.hpp:50</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ae0cfae1ea51669892608a1a060d24fa0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ae0cfae1ea51669892608a1a060d24fa0">armnn::NetworkImpl::AddReduceLayer</a></div><div class="ttdeci">IConnectableLayer * AddReduceLayer(const ReduceDescriptor &reduceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02397">Network.cpp:2397</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a49e11acda22742cbaf6f1b259ead0d84"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a49e11acda22742cbaf6f1b259ead0d84">armnn::LstmInputParams::m_InputToCellWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToCellWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00042">LstmParams.hpp:42</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a1aa567f46c30960851c02847dc7b4215"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a1aa567f46c30960851c02847dc7b4215">armnn::NetworkImpl::AddConstantLayer</a></div><div class="ttdeci">IConnectableLayer * AddConstantLayer(const ConstTensor &input, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02431">Network.cpp:2431</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a3cb5ef29e47f60acd88b16d6fee254f5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a3cb5ef29e47f60acd88b16d6fee254f5">armnn::OptimizerOptionsOpaque::GetImportEnabled</a></div><div class="ttdeci">bool GetImportEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00161">Network.cpp:161</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_arg_min_max_layer_html"><div class="ttname"><a href="classarmnn_1_1_arg_min_max_layer.html">armnn::ArgMinMaxLayer</a></div><div class="ttdoc">This layer represents a ArgMinMax operation.</div><div class="ttdef"><b>Definition:</b> <a href="_arg_min_max_layer_8hpp_source.html#l00014">ArgMinMaxLayer.hpp:14</a></div></div>
@@ -3398,15 +3409,15 @@
<div class="ttc" id="a_ignore_unused_8hpp_html"><div class="ttname"><a href="_ignore_unused_8hpp.html">IgnoreUnused.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ab534dfa7f086a5f09fd9e3734ca6ab28"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ab534dfa7f086a5f09fd9e3734ca6ab28">armnn::INetwork::CreateRaw</a></div><div class="ttdeci">static INetwork * CreateRaw(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00671">Network.cpp:671</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_stack_layer_html"><div class="ttname"><a href="classarmnn_1_1_stack_layer.html">armnn::StackLayer</a></div><div class="ttdoc">This layer represents a stack operation.</div><div class="ttdef"><b>Definition:</b> <a href="_stack_layer_8hpp_source.html#l00013">StackLayer.hpp:13</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac6771c8752811fcfa91b3f0dee748144"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ac6771c8752811fcfa91b3f0dee748144">armnn::NetworkImpl::AddDepthwiseConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02268">Network.cpp:2268</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac6771c8752811fcfa91b3f0dee748144"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ac6771c8752811fcfa91b3f0dee748144">armnn::NetworkImpl::AddDepthwiseConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthwiseConvolution2dLayer(const DepthwiseConvolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02279">Network.cpp:2279</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html">armnn::IBackendInternal</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00077">IBackendInternal.hpp:77</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_af5f530544d09a44d726f24702b67b35b"><div class="ttname"><a href="classarmnn_1_1_layer.html#af5f530544d09a44d726f24702b67b35b">armnn::Layer::GetInputSlots</a></div><div class="ttdeci">const std::vector< InputSlot > & GetInputSlots() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00258">Layer.hpp:258</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a6e1a42622ca43dafc7ba8e684c016eb4"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#a6e1a42622ca43dafc7ba8e684c016eb4">armnn::OptimizerOptions::m_ReduceFp32ToFp16</a></div><div class="ttdeci">bool m_ReduceFp32ToFp16</div><div class="ttdoc">Reduces all Fp32 operators in the model to Fp16 for faster processing.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00237">INetwork.hpp:237</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a06d0b70cbc134b412ff7715d9db1617b"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b">armnn::OptimizedNetworkImpl::~OptimizedNetworkImpl</a></div><div class="ttdeci">virtual ~OptimizedNetworkImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03102">Network.cpp:3102</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a06d0b70cbc134b412ff7715d9db1617b"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#a06d0b70cbc134b412ff7715d9db1617b">armnn::OptimizedNetworkImpl::~OptimizedNetworkImpl</a></div><div class="ttdeci">virtual ~OptimizedNetworkImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03113">Network.cpp:3113</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_adcfb97035799ea4c043f9ef370714815"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#adcfb97035799ea4c043f9ef370714815">armnn::OutputSlot::Connect</a></div><div class="ttdeci">int Connect(InputSlot &destination)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00112">Layer.cpp:112</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a17d1279f5f8e3b92c328b1ed3b6fd549"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a17d1279f5f8e3b92c328b1ed3b6fd549">armnn::optimizations::PermuteAndBatchToSpaceAsDepthToSpace</a></div><div class="ttdeci">OptimizeForConnection< PermuteLayer, BatchToSpaceNdLayer, PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteLayer > > PermuteAndBatchToSpaceAsDepthToSpace</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.html#l00102">PermuteAndBatchToSpaceAsDepthToSpace.hpp:102</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_aef978fb468fb765301a95c7c0a936926"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">armnn::OptimizedNetworkImpl::OptimizedNetworkImpl</a></div><div class="ttdeci">OptimizedNetworkImpl(const OptimizedNetworkImpl &other, const ModelOptions &modelOptions)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03085">Network.cpp:3085</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_aef978fb468fb765301a95c7c0a936926"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#aef978fb468fb765301a95c7c0a936926">armnn::OptimizedNetworkImpl::OptimizedNetworkImpl</a></div><div class="ttdeci">OptimizedNetworkImpl(const OptimizedNetworkImpl &other, const ModelOptions &modelOptions)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03096">Network.cpp:3096</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html">armnn::BatchNormalizationLayer</a></div><div class="ttdoc">This layer represents a batch normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00015">BatchNormalizationLayer.hpp:15</a></div></div>
<div class="ttc" id="a_optimizer_8hpp_html"><div class="ttname"><a href="_optimizer_8hpp.html">Optimizer.hpp</a></div></div>
<div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div>
@@ -3416,9 +3427,9 @@
<div class="ttc" id="a_tensor_handle_factory_registry_8hpp_html"><div class="ttname"><a href="_tensor_handle_factory_registry_8hpp.html">TensorHandleFactoryRegistry.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_batch_to_space_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a></div><div class="ttdoc">This layer represents a BatchToSpaceNd operation.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8hpp_source.html#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af5790069aa11fd1c5bb2e17cecb06528">armnn::INetwork::AddOutputLayer</a></div><div class="ttdeci">IConnectableLayer * AddOutputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdoc">Adds an output layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00496">Network.cpp:496</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac7dca3e9f2ab2f2c64b42fc59a67188a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ac7dca3e9f2ab2f2c64b42fc59a67188a">armnn::NetworkImpl::AddComparisonLayer</a></div><div class="ttdeci">IConnectableLayer * AddComparisonLayer(const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02198">Network.cpp:2198</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac7dca3e9f2ab2f2c64b42fc59a67188a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ac7dca3e9f2ab2f2c64b42fc59a67188a">armnn::NetworkImpl::AddComparisonLayer</a></div><div class="ttdeci">IConnectableLayer * AddComparisonLayer(const ComparisonDescriptor &comparisonDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02209">Network.cpp:2209</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::NetworkImpl::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03077">Network.cpp:3077</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72032c65bf8b8acf09b564b7d80078c5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a72032c65bf8b8acf09b564b7d80078c5">armnn::NetworkImpl::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03088">Network.cpp:3088</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div>
<div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ac5c93cad39a690af862d49ffaec0d3c0"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ac5c93cad39a690af862d49ffaec0d3c0">armnn::INetwork::AddStridedSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddStridedSliceLayer(const StridedSliceDescriptor &stridedSliceDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a strided slice layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00545">Network.cpp:545</a></div></div>
@@ -3427,11 +3438,11 @@
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_aafc70d5af99400ff5ea7991825658b2f"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#aafc70d5af99400ff5ea7991825658b2f">armnn::optimizations::MovePermuteUp</a></div><div class="ttdeci">OptimizeForConnection< Layer, PermuteLayer, MovePermuteUpImpl > MovePermuteUp</div><div class="ttdef"><b>Definition:</b> <a href="_move_permute_up_8hpp_source.html#l00083">MovePermuteUp.hpp:83</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_ace7a1f1f1041b412b7d8ef82b95ff352"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#ace7a1f1f1041b412b7d8ef82b95ff352">armnn::LstmInputParams::m_ForgetGateBias</a></div><div class="ttdeci">const ConstTensor * m_ForgetGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00052">LstmParams.hpp:52</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a1a9d718b48612b5817a3c369f9fd71ee"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a1a9d718b48612b5817a3c369f9fd71ee">armnn::optimizations::OptimizeInverseConversionsFp16</a></div><div class="ttdeci">OptimizeForConnection< ConvertFp16ToFp32Layer, ConvertFp32ToFp16Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp16</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_inverse_conversions_8hpp_source.html#l00042">OptimizeInverseConversions.hpp:42</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a26e69cda5fe9642f9198c24ae5fdf9bc"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a26e69cda5fe9642f9198c24ae5fdf9bc">armnn::NetworkImpl::AddSwitchLayer</a></div><div class="ttdeci">IConnectableLayer * AddSwitchLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02645">Network.cpp:2645</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a26e69cda5fe9642f9198c24ae5fdf9bc"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a26e69cda5fe9642f9198c24ae5fdf9bc">armnn::NetworkImpl::AddSwitchLayer</a></div><div class="ttdeci">IConnectableLayer * AddSwitchLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02656">Network.cpp:2656</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_html"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html">armnn::OptimizationResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00260">Network.hpp:260</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a19bad0cc50526ca9f4f84a688812cdf5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5">armnn::NetworkImpl::AddSpaceToDepthLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToDepthLayer(const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02441">Network.cpp:2441</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a19bad0cc50526ca9f4f84a688812cdf5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a19bad0cc50526ca9f4f84a688812cdf5">armnn::NetworkImpl::AddSpaceToDepthLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToDepthLayer(const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02452">Network.cpp:2452</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a9c95f90eb40e31f629e0e2947b8bc6f9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a9c95f90eb40e31f629e0e2947b8bc6f9">armnn::ITensorHandleFactory::LegacyFactoryId</a></div><div class="ttdeci">static const FactoryId LegacyFactoryId</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00050">ITensorHandleFactory.hpp:50</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1">armnn::NetworkImpl::AddFloorLayer</a></div><div class="ttdeci">IConnectableLayer * AddFloorLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02447">Network.cpp:2447</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a435ea88480b8645026dd45fd692663a1">armnn::NetworkImpl::AddFloorLayer</a></div><div class="ttdeci">IConnectableLayer * AddFloorLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02458">Network.cpp:2458</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a30528a3bd85a0dba158bd14e252bd68a">armnn::INetwork::AddSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddSoftmaxLayer(const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a softmax layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00392">Network.cpp:392</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_minimum_layer_html"><div class="ttname"><a href="classarmnn_1_1_minimum_layer.html">armnn::MinimumLayer</a></div><div class="ttdoc">This layer represents a minimum operation.</div><div class="ttdef"><b>Definition:</b> <a href="_minimum_layer_8hpp_source.html#l00014">MinimumLayer.hpp:14</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_html_aa09ac75b83067c5ed455f2bb35c7c98d"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#aa09ac75b83067c5ed455f2bb35c7c98d">armnn::BackendSettings::m_SelectedBackends</a></div><div class="ttdeci">BackendIdSet m_SelectedBackends</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.html#l00022">BackendSettings.hpp:22</a></div></div>
@@ -3441,14 +3452,14 @@
<div class="ttc" id="aclassarmnn_1_1_exception_html_abf843cbb29dec939d0731e491bab6f70"><div class="ttname"><a href="classarmnn_1_1_exception.html#abf843cbb29dec939d0731e491bab6f70">armnn::Exception::what</a></div><div class="ttdeci">virtual const char * what() const noexcept override</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8cpp_source.html#l00032">Exceptions.cpp:32</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4addf4f83b056acd5549949fc0350e9aad">armnn::LayerType::ConvertFp32ToFp16</a></div><div class="ttdeci">@ ConvertFp32ToFp16</div></div>
<div class="ttc" id="astructarmnn_1_1_optimization_result_html_a955b65059e7f9429a5d6041136bc1487"><div class="ttname"><a href="structarmnn_1_1_optimization_result.html#a955b65059e7f9429a5d6041136bc1487">armnn::OptimizationResult::IsOk</a></div><div class="ttdeci">bool IsOk() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00273">Network.hpp:273</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a11f49d84f0cfd8df65f4d5206cd43b6d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a11f49d84f0cfd8df65f4d5206cd43b6d">armnn::NetworkImpl::AddPermuteLayer</a></div><div class="ttdeci">IConnectableLayer * AddPermuteLayer(const PermuteDescriptor &permuteDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02285">Network.cpp:2285</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a25563024ec66627ee83727244a53e944"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a25563024ec66627ee83727244a53e944">armnn::NetworkImpl::AddRankLayer</a></div><div class="ttdeci">IConnectableLayer * AddRankLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02381">Network.cpp:2381</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a11f49d84f0cfd8df65f4d5206cd43b6d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a11f49d84f0cfd8df65f4d5206cd43b6d">armnn::NetworkImpl::AddPermuteLayer</a></div><div class="ttdeci">IConnectableLayer * AddPermuteLayer(const PermuteDescriptor &permuteDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02296">Network.cpp:2296</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a25563024ec66627ee83727244a53e944"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a25563024ec66627ee83727244a53e944">armnn::NetworkImpl::AddRankLayer</a></div><div class="ttdeci">IConnectableLayer * AddRankLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02392">Network.cpp:2392</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div>
<div class="ttc" id="a_logging_8hpp_html_a7b6ad073975f437ec38ca7d20154727f"><div class="ttname"><a href="_logging_8hpp.html#a7b6ad073975f437ec38ca7d20154727f">ARMNN_LOG</a></div><div class="ttdeci">#define ARMNN_LOG(severity)</div><div class="ttdef"><b>Definition:</b> <a href="_logging_8hpp_source.html#l00212">Logging.hpp:212</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ab067ba4ee9416d93abb8a52f3dc8feba"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ab067ba4ee9416d93abb8a52f3dc8feba">armnn::INetwork::AddTransposeLayer</a></div><div class="ttdeci">IConnectableLayer * AddTransposeLayer(const TransposeDescriptor &transposeDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a transpose layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00587">Network.cpp:587</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852"><div class="ttname"><a href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016ac366da48cc11956ae377a77751936852">armnn::EdgeStrategy::CopyToTarget</a></div><div class="ttdeci">@ CopyToTarget</div><div class="ttdoc">Source backends tensor data can be exported to destination backend tensor without copy.</div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a4d0994094ec68328df73a00304fb4af6"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a4d0994094ec68328df73a00304fb4af6">armnn::OptimizerOptionsOpaque::GetShapeInferenceMethod</a></div><div class="ttdeci">armnn::ShapeInferenceMethod GetShapeInferenceMethod() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00201">Network.cpp:201</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_adc8c1c505bca8233fe238b3b7fb80200"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#adc8c1c505bca8233fe238b3b7fb80200">armnn::NetworkImpl::AddArgMinMaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddArgMinMaxLayer(const ArgMinMaxDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02309">Network.cpp:2309</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_adc8c1c505bca8233fe238b3b7fb80200"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#adc8c1c505bca8233fe238b3b7fb80200">armnn::NetworkImpl::AddArgMinMaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddArgMinMaxLayer(const ArgMinMaxDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02320">Network.cpp:2320</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_a73fbbe9df988c8cabddea04a8dcb9323"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#a73fbbe9df988c8cabddea04a8dcb9323">armnn::ITensorHandleFactory::GetCapabilities</a></div><div class="ttdeci">virtual std::vector< Capability > GetCapabilities(const IConnectableLayer *layer, const IConnectableLayer *connectedLayer, CapabilityClass capabilityClass)</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00093">ITensorHandleFactory.hpp:93</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tile_layer_html"><div class="ttname"><a href="classarmnn_1_1_tile_layer.html">armnn::TileLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_tile_layer_8hpp_source.html#l00013">TileLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_acad25c09a856d551c88b183f08edc2c1"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#acad25c09a856d551c88b183f08edc2c1">armnn::OptimizerOptionsOpaque::SetShapeInferenceMethod</a></div><div class="ttdeci">void SetShapeInferenceMethod(armnn::ShapeInferenceMethod ShapeInferenceMethodType)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00141">Network.cpp:141</a></div></div>
@@ -3458,19 +3469,19 @@
<div class="ttc" id="a_assert_8hpp_html"><div class="ttname"><a href="_assert_8hpp.html">Assert.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_addition_layer_html"><div class="ttname"><a href="classarmnn_1_1_addition_layer.html">armnn::AdditionLayer</a></div><div class="ttdoc">This layer represents an addition operation.</div><div class="ttdef"><b>Definition:</b> <a href="_addition_layer_8hpp_source.html#l00013">AdditionLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a1ec6b4c20ed294a96cf94c33c24caaf5"><div class="ttname"><a href="namespacearmnn.html#a1ec6b4c20ed294a96cf94c33c24caaf5">armnn::CreateSupportedBackends</a></div><div class="ttdeci">BackendsMap CreateSupportedBackends(TensorHandleFactoryRegistry &handleFactoryRegistry, BackendSettings &backendSettings)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01309">Network.cpp:1309</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a9a9bcc00ae3d96343c93b437d6f77088"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088">armnn::NetworkImpl::AddBatchToSpaceNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02182">Network.cpp:2182</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6d614a503a34ea3712b388aa4340ddbe"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe">armnn::NetworkImpl::AddPreluLayer</a></div><div class="ttdeci">IConnectableLayer * AddPreluLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02650">Network.cpp:2650</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a9a9bcc00ae3d96343c93b437d6f77088"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a9a9bcc00ae3d96343c93b437d6f77088">armnn::NetworkImpl::AddBatchToSpaceNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02193">Network.cpp:2193</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6d614a503a34ea3712b388aa4340ddbe"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6d614a503a34ea3712b388aa4340ddbe">armnn::NetworkImpl::AddPreluLayer</a></div><div class="ttdeci">IConnectableLayer * AddPreluLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02661">Network.cpp:2661</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a9416d94a8aad7cdfa47eb35e825cbda5"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#a9416d94a8aad7cdfa47eb35e825cbda5">armnn::OptimizerOptions::m_shapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_shapeInferenceMethod</div><div class="ttdoc">Infer output size when not available.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00250">INetwork.hpp:250</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a6e30c7b3451da3ea9cf4259fb602e6e6"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a6e30c7b3451da3ea9cf4259fb602e6e6">armnn::LstmInputParams::m_InputToOutputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToOutputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00043">LstmParams.hpp:43</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_aee282f8e3379d3f5bed1032d20884248"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aee282f8e3379d3f5bed1032d20884248">armnn::INetwork::AddPooling3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling3dLayer(const Pooling3dDescriptor &pooling3dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 3D pooling layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00362">Network.cpp:362</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_ad7c7687cd3542e5cbb45e56f9a9456e7"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#ad7c7687cd3542e5cbb45e56f9a9456e7">armnn::SubgraphView::IConnectableLayers</a></div><div class="ttdeci">std::list< IConnectableLayer * > IConnectableLayers</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.html#l00062">SubgraphView.hpp:62</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aba22dcdeed6e7c489aea6eb798c0a10a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a">armnn::NetworkImpl::AddUnidirectionalSequenceLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddUnidirectionalSequenceLstmLayer(const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02882">Network.cpp:2882</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a30528a3bd85a0dba158bd14e252bd68a">armnn::NetworkImpl::AddSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddSoftmaxLayer(const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02327">Network.cpp:2327</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aba22dcdeed6e7c489aea6eb798c0a10a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aba22dcdeed6e7c489aea6eb798c0a10a">armnn::NetworkImpl::AddUnidirectionalSequenceLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddUnidirectionalSequenceLstmLayer(const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02893">Network.cpp:2893</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a30528a3bd85a0dba158bd14e252bd68a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a30528a3bd85a0dba158bd14e252bd68a">armnn::NetworkImpl::AddSoftmaxLayer</a></div><div class="ttdeci">IConnectableLayer * AddSoftmaxLayer(const SoftmaxDescriptor &softmaxDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02338">Network.cpp:2338</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4de71c3661093e5c4ae7775114f43413"><div class="ttname"><a href="namespacearmnn.html#a4de71c3661093e5c4ae7775114f43413">armnn::NetworkOptions</a></div><div class="ttdeci">std::vector< BackendOptions > NetworkOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00016">BackendOptions.hpp:16</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a35b112e30c3eb153806a2a8c16d178e3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a35b112e30c3eb153806a2a8c16d178e3">armnn::LstmInputParams::m_CellToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_CellToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00049">LstmParams.hpp:49</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fused_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fused_descriptor.html">armnn::FusedDescriptor</a></div><div class="ttdoc">A FusedDescriptor for the FusedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00944">Descriptors.hpp:944</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00132">Layer.hpp:132</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a8f798e19187ac7ae6ae6153ee64ab645">armnn::NetworkImpl::AddBatchNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchNormalizationLayer(const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02364">Network.cpp:2364</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a8f798e19187ac7ae6ae6153ee64ab645">armnn::NetworkImpl::AddBatchNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchNormalizationLayer(const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02375">Network.cpp:2375</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html_a2387033802383edbdc95f9bbb12a707e"><div class="ttname"><a href="classarmnn_1_1_graph.html#a2387033802383edbdc95f9bbb12a707e">armnn::Graph::begin</a></div><div class="ttdeci">Iterator begin()</div><div class="ttdoc">Returns iterator pointing to the beginning of the list. Lowercase for range-based for loops.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00169">Graph.hpp:169</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_aba22dcdeed6e7c489aea6eb798c0a10a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aba22dcdeed6e7c489aea6eb798c0a10a">armnn::INetwork::AddUnidirectionalSequenceLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddUnidirectionalSequenceLstmLayer(const UnidirectionalSequenceLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdoc">Add a UnidirectionalSequenceLstm layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00629">Network.cpp:629</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_af1853466264ac187607c96b501a74e2b"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af1853466264ac187607c96b501a74e2b">armnn::INetwork::AddDepthToSpaceLayer</a></div><div class="ttdeci">IConnectableLayer * AddDepthToSpaceLayer(const DepthToSpaceDescriptor &depthToSpaceDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a depth to space layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00285">Network.cpp:285</a></div></div>
@@ -3492,7 +3503,7 @@
<div class="ttc" id="aclassarmnn_1_1_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_lstm_layer.html">armnn::LstmLayer</a></div><div class="ttdoc">This layer represents a LSTM operation.</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_layer_8hpp_source.html#l00016">LstmLayer.hpp:16</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_affcee5f4ab5994a21bee3b78b4e43de3"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#affcee5f4ab5994a21bee3b78b4e43de3">armnn::LstmInputParams::m_InputToInputWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToInputWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00040">LstmParams.hpp:40</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_slot_html_ac72a192dfcfa19e6ce826f99b415a11d"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ac72a192dfcfa19e6ce826f99b415a11d">armnn::OutputSlot::Disconnect</a></div><div class="ttdeci">void Disconnect(InputSlot &slot)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00120">Layer.cpp:120</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_afc94c35c0bbe852a60046bf2e756b2e0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#afc94c35c0bbe852a60046bf2e756b2e0">armnn::NetworkImpl::AddFillLayer</a></div><div class="ttdeci">IConnectableLayer * AddFillLayer(const FillDescriptor &fillDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02216">Network.cpp:2216</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_afc94c35c0bbe852a60046bf2e756b2e0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#afc94c35c0bbe852a60046bf2e756b2e0">armnn::NetworkImpl::AddFillLayer</a></div><div class="ttdeci">IConnectableLayer * AddFillLayer(const FillDescriptor &fillDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02227">Network.cpp:2227</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a19bad0cc50526ca9f4f84a688812cdf5"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a19bad0cc50526ca9f4f84a688812cdf5">armnn::INetwork::AddSpaceToDepthLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToDepthLayer(const SpaceToDepthDescriptor &spaceToDepthDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a space to depth layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00486">Network.cpp:486</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a1ad03005dfb602c109a1b4fed7fca9e3"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a1ad03005dfb602c109a1b4fed7fca9e3">armnn::OptimizerOptionsOpaque::AddModelOption</a></div><div class="ttdeci">void AddModelOption(armnn::BackendOptions)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00151">Network.cpp:151</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_ad2570202bb366163f8b4660bfe78c49d"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#ad2570202bb366163f8b4660bfe78c49d">armnn::SubgraphView::begin</a></div><div class="ttdeci">IConnectableLayerIterator begin()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.html#l00283">SubgraphView.cpp:283</a></div></div>
@@ -3503,7 +3514,7 @@
<div class="ttc" id="anamespacearmnn_html_abf625e50a5eaeafce5b39580dc95a9d3"><div class="ttname"><a href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">armnn::InsertConvertFp32ToFp16LayersAfter</a></div><div class="ttdeci">std::vector< ConvertFp32ToFp16Layer * > InsertConvertFp32ToFp16LayersAfter(Graph &graph, Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00079">NetworkUtils.cpp:79</a></div></div>
<div class="ttc" id="a_logging_8hpp_html"><div class="ttname"><a href="_logging_8hpp.html">Logging.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pad_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a></div><div class="ttdoc">A PadDescriptor for the PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01196">Descriptors.hpp:1196</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af776e284b9e2c4a3563abb8cf5e8ac5e"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e">armnn::NetworkImpl::AddGatherNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherNdLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02635">Network.cpp:2635</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af776e284b9e2c4a3563abb8cf5e8ac5e"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af776e284b9e2c4a3563abb8cf5e8ac5e">armnn::NetworkImpl::AddGatherNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherNdLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02646">Network.cpp:2646</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_channel_shuffle_layer_html"><div class="ttname"><a href="classarmnn_1_1_channel_shuffle_layer.html">armnn::ChannelShuffleLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_channel_shuffle_layer_8hpp_source.html#l00011">ChannelShuffleLayer.hpp:11</a></div></div>
<div class="ttc" id="a_profiling_8hpp_html_a5ccc65e2c464ac05ce311fdae7ede03a"><div class="ttname"><a href="_profiling_8hpp.html#a5ccc65e2c464ac05ce311fdae7ede03a">ARMNN_SCOPED_PROFILING_EVENT</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT(backendId, name)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00220">Profiling.hpp:220</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_reduce_layer_html"><div class="ttname"><a href="classarmnn_1_1_reduce_layer.html">armnn::ReduceLayer</a></div><div class="ttdoc">This layer represents a reduction operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_layer_8hpp_source.html#l00014">ReduceLayer.hpp:14</a></div></div>
@@ -3519,37 +3530,37 @@
<div class="ttc" id="a_i_backend_internal_8hpp_html"><div class="ttname"><a href="_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a31d953b9d49a6b4378f45097047976d0">armnn::LayerType::Softmax</a></div><div class="ttdeci">@ Softmax</div></div>
<div class="ttc" id="anamespacearmnn_html_aa52ce4f1fab044ad0c73f9613e2ef6ce"><div class="ttname"><a href="namespacearmnn.html#aa52ce4f1fab044ad0c73f9613e2ef6ce">armnn::CheckFp16Support</a></div><div class="ttdeci">bool CheckFp16Support(BackendsMap &backends, const std::vector< BackendId > &availablePreferredBackends)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01029">Network.cpp:1029</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a446181daeb60b49cbcfd9f907f974ec1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a446181daeb60b49cbcfd9f907f974ec1">armnn::NetworkImpl::AddStackLayer</a></div><div class="ttdeci">IConnectableLayer * AddStackLayer(const StackDescriptor &stackDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02683">Network.cpp:2683</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a446181daeb60b49cbcfd9f907f974ec1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a446181daeb60b49cbcfd9f907f974ec1">armnn::NetworkImpl::AddStackLayer</a></div><div class="ttdeci">IConnectableLayer * AddStackLayer(const StackDescriptor &stackDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02694">Network.cpp:2694</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a9e081a9b94defb30d1558dc912507e0e"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a9e081a9b94defb30d1558dc912507e0e">armnn::LstmInputParams::m_InputGateBias</a></div><div class="ttdeci">const ConstTensor * m_InputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00051">LstmParams.hpp:51</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a6f6d81d8a4f1f85f3616e8306760061c"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a6f6d81d8a4f1f85f3616e8306760061c">armnn::INetwork::AddSplitterLayer</a></div><div class="ttdeci">IConnectableLayer * AddSplitterLayer(const ViewsDescriptor &splitterDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a splitter layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00398">Network.cpp:398</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_af9dd4b5273829b846ab83b3ae7f3defc"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af9dd4b5273829b846ab83b3ae7f3defc">armnn::INetwork::AddShapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddShapeLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a shape layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00593">Network.cpp:593</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a095a9b700dc857edc23c5d3bf088919f"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a095a9b700dc857edc23c5d3bf088919f">armnn::NetworkImpl::AddElementwiseUnaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02210">Network.cpp:2210</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a095a9b700dc857edc23c5d3bf088919f"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a095a9b700dc857edc23c5d3bf088919f">armnn::NetworkImpl::AddElementwiseUnaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02221">Network.cpp:2221</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_space_to_depth_layer_html"><div class="ttname"><a href="classarmnn_1_1_space_to_depth_layer.html">armnn::SpaceToDepthLayer</a></div><div class="ttdoc">This layer represents a SpaceToDepth operation.</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_depth_layer_8hpp_source.html#l00014">SpaceToDepthLayer.hpp:14</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ac2807505b850738bc8a1991ce669dd47"><div class="ttname"><a href="namespacearmnn.html#ac2807505b850738bc8a1991ce669dd47">armnn::BackendRegistryInstance</a></div><div class="ttdeci">BackendRegistry & BackendRegistryInstance()</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.html#l00015">BackendRegistry.cpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a8f798e19187ac7ae6ae6153ee64ab645"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a8f798e19187ac7ae6ae6153ee64ab645">armnn::INetwork::AddBatchNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchNormalizationLayer(const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)</div><div class="ttdoc">Adds a batch normalization layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00423">Network.cpp:423</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reshape_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reshape_descriptor.html">armnn::ReshapeDescriptor</a></div><div class="ttdoc">A ReshapeDescriptor for the ReshapeLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01023">Descriptors.hpp:1023</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_output_layer_html"><div class="ttname"><a href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.html#l00013">OutputLayer.hpp:13</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a2090bf6670b73c69309ed592068aa3af"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a2090bf6670b73c69309ed592068aa3af">armnn::NetworkImpl::AddConvertFp16ToFp32Layer</a></div><div class="ttdeci">IConnectableLayer * AddConvertFp16ToFp32Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02246">Network.cpp:2246</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af5790069aa11fd1c5bb2e17cecb06528">armnn::NetworkImpl::AddOutputLayer</a></div><div class="ttdeci">IConnectableLayer * AddOutputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02359">Network.cpp:2359</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a2090bf6670b73c69309ed592068aa3af"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a2090bf6670b73c69309ed592068aa3af">armnn::NetworkImpl::AddConvertFp16ToFp32Layer</a></div><div class="ttdeci">IConnectableLayer * AddConvertFp16ToFp32Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02257">Network.cpp:2257</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af5790069aa11fd1c5bb2e17cecb06528"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af5790069aa11fd1c5bb2e17cecb06528">armnn::NetworkImpl::AddOutputLayer</a></div><div class="ttdeci">IConnectableLayer * AddOutputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02370">Network.cpp:2370</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a928f70dd19a2b0d3e9b75c27a2099c44"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a928f70dd19a2b0d3e9b75c27a2099c44">armnn::QuantizedLstmInputParams::GetInputToCellWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00068">QuantizedLstmParams.hpp:68</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a69eb14082d40fa0a3cff50457344a5e0"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#a69eb14082d40fa0a3cff50457344a5e0">armnn::OptimizerOptions::m_Debug</a></div><div class="ttdeci">bool m_Debug</div><div class="ttdoc">Add debug data for easier troubleshooting.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00240">INetwork.hpp:240</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a63e34dd3e41262e750f7a54de8ca81d1"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a63e34dd3e41262e750f7a54de8ca81d1">armnn::QuantizedLstmInputParams::GetRecurrentToCellWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToCellWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00088">QuantizedLstmParams.hpp:88</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_ad668074369437a111649f51296ff8959"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#ad668074369437a111649f51296ff8959">armnn::optimizations::FusePermuteIntoConstLayer</a></div><div class="ttdeci">OptimizeForConnection< ConstantLayer, PermuteLayer, ConvertConstPermuteLayersToConstLayers > FusePermuteIntoConstLayer</div><div class="ttdef"><b>Definition:</b> <a href="_convert_const_permute_layers_to_const_layers_8hpp_source.html#l00124">ConvertConstPermuteLayersToConstLayers.hpp:124</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs).</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00309">Types.hpp:309</a></div></div>
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-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a2acbae0b9e98c94b843677484775c86a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a">armnn::NetworkImpl::AddQLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQLstmLayer(const QLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02734">Network.cpp:2734</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8a3380be13fba749fc4208214b049347"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a8a3380be13fba749fc4208214b049347">armnn::NetworkImpl::AddReshapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddReshapeLayer(const ReshapeDescriptor &reshapeDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02440">Network.cpp:2440</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a2acbae0b9e98c94b843677484775c86a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a2acbae0b9e98c94b843677484775c86a">armnn::NetworkImpl::AddQLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQLstmLayer(const QLstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02745">Network.cpp:2745</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_l2_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_l2_normalization_layer.html">armnn::L2NormalizationLayer</a></div><div class="ttdoc">This layer represents a L2 normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_l2_normalization_layer_8hpp_source.html#l00013">L2NormalizationLayer.hpp:13</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a0054f53e4e70bb39c000bcf240627b18"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#a0054f53e4e70bb39c000bcf240627b18">armnn::OptimizerOptions::m_ExportEnabled</a></div><div class="ttdeci">bool m_ExportEnabled</div><div class="ttdoc">Enable Export.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00262">INetwork.hpp:262</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a4bfd8dee1a0315b651e977c672c0847c"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a4bfd8dee1a0315b651e977c672c0847c">armnn::INetwork::AddMinimumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMinimumLayer(const char *name=nullptr)</div><div class="ttdoc">Add a Minimum layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00551">Network.cpp:551</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aff3fde909d22ed157046682e70129259">armnn::NetworkImpl::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02182">Network.cpp:2182</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_html_af7445617163d3f07c47b92ae56c6cf8b"><div class="ttname"><a href="classarmnn_1_1_backend_id.html#af7445617163d3f07c47b92ae56c6cf8b">armnn::BackendId::Get</a></div><div class="ttdeci">const std::string & Get() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00138">BackendId.hpp:138</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a383e74ef080d4a81b8b371be4b840248"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a383e74ef080d4a81b8b371be4b840248">armnn::INetwork::AddConvolution2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution2dLayer(const Convolution2dDescriptor &convolution2dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 2D convolution layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00272">Network.cpp:272</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aff209afc1dc598da399e3e78617ce016"><div class="ttname"><a href="namespacearmnn.html#aff209afc1dc598da399e3e78617ce016">armnn::EdgeStrategy</a></div><div class="ttdeci">EdgeStrategy</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00104">ITensorHandleFactory.hpp:104</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_ad2e53e6428416a65ae4ba566207cc6bf"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#ad2e53e6428416a65ae4ba566207cc6bf">armnn::QuantizedLstmInputParams::GetRecurrentToInputWeights</a></div><div class="ttdeci">const ConstTensor & GetRecurrentToInputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00078">QuantizedLstmParams.hpp:78</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00335">Layer.hpp:335</a></div></div>
<div class="ttc" id="anamespacearmnn_html_aa7427025a851113a492de0b68b23d22a"><div class="ttname"><a href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a></div><div class="ttdeci">Optimizer::Optimizations MakeOptimizations(Args &&... args)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.html#l00043">Optimizer.hpp:43</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aa6c1c42ea44777302e87ce0fad5ac510">armnn::NetworkImpl::AddInputLayer</a></div><div class="ttdeci">IConnectableLayer * AddInputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02177">Network.cpp:2177</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aa6c1c42ea44777302e87ce0fad5ac510">armnn::NetworkImpl::AddInputLayer</a></div><div class="ttdeci">IConnectableLayer * AddInputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02188">Network.cpp:2188</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_html_afe0a4f719f9752a405e71878da7012ba"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#afe0a4f719f9752a405e71878da7012ba">armnn::NetworkImpl::GetGraph</a></div><div class="ttdeci">const Graph & GetGraph() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00038">Network.hpp:38</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_ac1134a94265293ea7347180260f787d2"><div class="ttname"><a href="classarmnn_1_1_i_network.html#ac1134a94265293ea7347180260f787d2">armnn::INetwork::AddDetectionPostProcessLayer</a></div><div class="ttdeci">IConnectableLayer * AddDetectionPostProcessLayer(const DetectionPostProcessDescriptor &descriptor, const ConstTensor &anchors, const char *name=nullptr)</div><div class="ttdoc">Adds a Detection PostProcess layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00306">Network.cpp:306</a></div></div>
<div class="ttc" id="astructarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00149">Descriptors.hpp:149</a></div></div>
@@ -3558,7 +3569,7 @@
<div class="ttc" id="aclassarmnn_1_1_reverse_v2_layer_html"><div class="ttname"><a href="classarmnn_1_1_reverse_v2_layer.html">armnn::ReverseV2Layer</a></div><div class="ttdoc">This layer represents a ReverseV2 operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reverse_v2_layer_8hpp_source.html#l00014">ReverseV2Layer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a7dfc9717e76257867ad0a9239f210df0"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a7dfc9717e76257867ad0a9239f210df0">armnn::INetwork::AddLogicalBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddLogicalBinaryLayer(const LogicalBinaryDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a Logical Binary layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00623">Network.cpp:623</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_space_to_batch_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_space_to_batch_nd_layer.html">armnn::SpaceToBatchNdLayer</a></div><div class="ttdoc">This layer represents a SpaceToBatchNd operation.</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_layer_8hpp_source.html#l00014">SpaceToBatchNdLayer.hpp:14</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a4bfd8dee1a0315b651e977c672c0847c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a4bfd8dee1a0315b651e977c672c0847c">armnn::NetworkImpl::AddMinimumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMinimumLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02344">Network.cpp:2344</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a4bfd8dee1a0315b651e977c672c0847c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a4bfd8dee1a0315b651e977c672c0847c">armnn::NetworkImpl::AddMinimumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMinimumLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02355">Network.cpp:2355</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00046">ITensorHandleFactory.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html_a880db527e7dbf8d0de3fee52ba072482"><div class="ttname"><a href="classarmnn_1_1_graph.html#a880db527e7dbf8d0de3fee52ba072482">armnn::Graph::GetProfiler</a></div><div class="ttdeci">const std::shared_ptr< IProfiler > & GetProfiler() const</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.html#l00692">Graph.cpp:692</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimized_network_impl_html_a8d8179a4a0703602a5d7dbb6e92eaf69"><div class="ttname"><a href="classarmnn_1_1_optimized_network_impl.html#a8d8179a4a0703602a5d7dbb6e92eaf69">armnn::OptimizedNetworkImpl::GetNumInputs</a></div><div class="ttdeci">virtual size_t GetNumInputs() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00746">Network.cpp:746</a></div></div>
@@ -3572,7 +3583,7 @@
<div class="ttc" id="anamespacearmnn_html_aeee4e55e6ad4fe12b2168f9fd1e88141"><div class="ttname"><a href="namespacearmnn.html#aeee4e55e6ad4fe12b2168f9fd1e88141">armnn::ReturnWithError</a></div><div class="ttdeci">OptimizationResult ReturnWithError(OptimizationResult res, const Layer *layer, const BackendSettings &backendSettings, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00780">Network.cpp:780</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_slice_layer_html"><div class="ttname"><a href="classarmnn_1_1_slice_layer.html">armnn::SliceLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_slice_layer_8hpp_source.html#l00013">SliceLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_factory_html_ab17a7eb3afac8667ace153b0fe2f82fe"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.html#ab17a7eb3afac8667ace153b0fe2f82fe">armnn::ITensorHandleFactory::GetImportFlags</a></div><div class="ttdeci">virtual MemorySourceFlags GetImportFlags() const</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_factory_8hpp_source.html#l00091">ITensorHandleFactory.hpp:91</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aab976306ba3424cbc0c7ea33417d718d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aab976306ba3424cbc0c7ea33417d718d">armnn::NetworkImpl::AddElementwiseBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseBinaryLayer(const ElementwiseBinaryDescriptor &elementwiseBinaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02204">Network.cpp:2204</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aab976306ba3424cbc0c7ea33417d718d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aab976306ba3424cbc0c7ea33417d718d">armnn::NetworkImpl::AddElementwiseBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseBinaryLayer(const ElementwiseBinaryDescriptor &elementwiseBinaryDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02215">Network.cpp:2215</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a8933eb842c6152f61535b69bd37c867e"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a8933eb842c6152f61535b69bd37c867e">armnn::OptimizerOptionsOpaque::GetDebugToFileEnabled</a></div><div class="ttdeci">bool GetDebugToFileEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00186">Network.cpp:186</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_batch_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.html">armnn::SpaceToBatchNdDescriptor</a></div><div class="ttdoc">A SpaceToBatchNdDescriptor for the SpaceToBatchNdLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01043">Descriptors.hpp:1043</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a25563024ec66627ee83727244a53e944"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a25563024ec66627ee83727244a53e944">armnn::INetwork::AddRankLayer</a></div><div class="ttdeci">IConnectableLayer * AddRankLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a rank layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00433">Network.cpp:433</a></div></div>
@@ -3582,10 +3593,10 @@
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html">armnn::QuantizedLstmLayer</a></div><div class="ttdoc">This layer represents a QuantizedLstm operation.</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00045">QuantizedLstmLayer.hpp:45</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_elementwise_binary_layer_html"><div class="ttname"><a href="classarmnn_1_1_elementwise_binary_layer.html">armnn::ElementwiseBinaryLayer</a></div><div class="ttdoc">This layer represents a elementwiseBinary operation.</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_binary_layer_8hpp_source.html#l00014">ElementwiseBinaryLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pooling2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_pooling2d_layer.html">armnn::Pooling2dLayer</a></div><div class="ttdoc">This layer represents a pooling 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pooling2d_layer_8hpp_source.html#l00013">Pooling2dLayer.hpp:13</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0b426a3feffc76e66d73b5761806e899"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899">armnn::NetworkImpl::AddQuantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02613">Network.cpp:2613</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0b426a3feffc76e66d73b5761806e899"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a0b426a3feffc76e66d73b5761806e899">armnn::NetworkImpl::AddQuantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02624">Network.cpp:2624</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_runtime_exception_html"><div class="ttname"><a href="classarmnn_1_1_runtime_exception.html">armnn::RuntimeException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00120">Exceptions.hpp:120</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_switch_layer_html"><div class="ttname"><a href="classarmnn_1_1_switch_layer.html">armnn::SwitchLayer</a></div><div class="ttdoc">This layer calculates both true and false outputs for input.</div><div class="ttdef"><b>Definition:</b> <a href="_switch_layer_8hpp_source.html#l00013">SwitchLayer.hpp:13</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6c5376053e1f875776d7bc36fd0b7d45"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6c5376053e1f875776d7bc36fd0b7d45">armnn::NetworkImpl::AddNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddNormalizationLayer(const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02315">Network.cpp:2315</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6c5376053e1f875776d7bc36fd0b7d45"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6c5376053e1f875776d7bc36fd0b7d45">armnn::NetworkImpl::AddNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddNormalizationLayer(const NormalizationDescriptor &normalizationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02326">Network.cpp:2326</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_division_layer_html"><div class="ttname"><a href="classarmnn_1_1_division_layer.html">armnn::DivisionLayer</a></div><div class="ttdoc">This layer represents a division operation.</div><div class="ttdef"><b>Definition:</b> <a href="_division_layer_8hpp_source.html#l00014">DivisionLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a0a2fdd4f442952c97a8f24de6700473a"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a0a2fdd4f442952c97a8f24de6700473a">armnn::INetwork::AddLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddLstmLayer(const LstmDescriptor &descriptor, const LstmInputParams &params, const char *name=nullptr)</div><div class="ttdoc">Add a Lstm layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00501">Network.cpp:501</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_network_impl_html"><div class="ttname"><a href="classarmnn_1_1_network_impl.html">armnn::NetworkImpl</a></div><div class="ttdoc">Private implementation of INetwork.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00032">Network.hpp:32</a></div></div>
@@ -3597,23 +3608,23 @@
<div class="ttc" id="aclassarmnn_1_1_graph_html_a2ceda8d369e861997d558fac74d79c33"><div class="ttname"><a href="classarmnn_1_1_graph.html#a2ceda8d369e861997d558fac74d79c33">armnn::Graph::InferTensorInfos</a></div><div class="ttdeci">void InferTensorInfos()</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.html#l00604">Graph.cpp:604</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a1b1892da2aaf7eaedaa38671d56b7f19"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#a1b1892da2aaf7eaedaa38671d56b7f19">armnn::OptimizerOptions::m_ProfilingEnabled</a></div><div class="ttdeci">bool m_ProfilingEnabled</div><div class="ttdoc">Enable profiling dump of the optimizer phase.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00259">INetwork.hpp:259</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0f19808bdada45222e72edf7671a275a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a">armnn::NetworkImpl::AddMergeLayer</a></div><div class="ttdeci">IConnectableLayer * AddMergeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02640">Network.cpp:2640</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a0f19808bdada45222e72edf7671a275a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a0f19808bdada45222e72edf7671a275a">armnn::NetworkImpl::AddMergeLayer</a></div><div class="ttdeci">IConnectableLayer * AddMergeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02651">Network.cpp:2651</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a5a864f9b972da52f3ca9028f1c8ee44a"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a5a864f9b972da52f3ca9028f1c8ee44a">armnn::OptimizerOptionsOpaque::SetAllowExpandedDims</a></div><div class="ttdeci">void SetAllowExpandedDims(bool ExpandedDimsAllowed)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00146">Network.cpp:146</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af9dd4b5273829b846ab83b3ae7f3defc"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af9dd4b5273829b846ab83b3ae7f3defc">armnn::NetworkImpl::AddShapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddShapeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02397">Network.cpp:2397</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_af9dd4b5273829b846ab83b3ae7f3defc"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#af9dd4b5273829b846ab83b3ae7f3defc">armnn::NetworkImpl::AddShapeLayer</a></div><div class="ttdeci">IConnectableLayer * AddShapeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02408">Network.cpp:2408</a></div></div>
<div class="ttc" id="a_backend_settings_8hpp_html"><div class="ttname"><a href="_backend_settings_8hpp.html">BackendSettings.hpp</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a74894d085e78ff80f45fc09dd2381f08">armnn::INetwork::AddStandInLayer</a></div><div class="ttdeci">IConnectableLayer * AddStandInLayer(const StandInDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a stand-in layer for a type unknown to the Arm NN framework.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00604">Network.cpp:604</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00240">Layer.hpp:240</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">armnn::IWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const BackendId &backendId, const IConnectableLayer &layer, Optional< DataType > dataType, std::string &outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01614">WorkloadFactory.cpp:1614</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_fill_layer_html"><div class="ttname"><a href="classarmnn_1_1_fill_layer.html">armnn::FillLayer</a></div><div class="ttdoc">This layer represents a fill operation.</div><div class="ttdef"><b>Definition:</b> <a href="_fill_layer_8hpp_source.html#l00013">FillLayer.hpp:13</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aea1059833739d3dccebb3a03ec35a1e6"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aea1059833739d3dccebb3a03ec35a1e6">armnn::NetworkImpl::AddConcatLayer</a></div><div class="ttdeci">IConnectableLayer * AddConcatLayer(const ConcatDescriptor &concatDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02234">Network.cpp:2234</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aea1059833739d3dccebb3a03ec35a1e6"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aea1059833739d3dccebb3a03ec35a1e6">armnn::NetworkImpl::AddConcatLayer</a></div><div class="ttdeci">IConnectableLayer * AddConcatLayer(const ConcatDescriptor &concatDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02245">Network.cpp:2245</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a5c25504e5efe52a17f5b0ca45753aaf0"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a5c25504e5efe52a17f5b0ca45753aaf0">armnn::OptimizerOptionsOpaque::GetDebugEnabled</a></div><div class="ttdeci">bool GetDebugEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00181">Network.cpp:181</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00334">Layer.hpp:334</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a477440c44fe870fb6f2486bf68214395"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a477440c44fe870fb6f2486bf68214395">armnn::QuantizedLstmInputParams::GetInputToOutputWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToOutputWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00073">QuantizedLstmParams.hpp:73</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_input_slot.html">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00042">Layer.hpp:42</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_instance_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_instance_normalization_layer.html">armnn::InstanceNormalizationLayer</a></div><div class="ttdoc">This layer represents an instance normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_instance_normalization_layer_8hpp_source.html#l00013">InstanceNormalizationLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a437cc59f5247f213adf34e84696f60da"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a437cc59f5247f213adf34e84696f60da">armnn::IOptimizedNetwork::~IOptimizedNetwork</a></div><div class="ttdeci">~IOptimizedNetwork()</div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72f7f58c37d9d856fcb648b5fa68cf59"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a72f7f58c37d9d856fcb648b5fa68cf59">armnn::NetworkImpl::AddCastLayer</a></div><div class="ttdeci">IConnectableLayer * AddCastLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02188">Network.cpp:2188</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72f7f58c37d9d856fcb648b5fa68cf59"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a72f7f58c37d9d856fcb648b5fa68cf59">armnn::NetworkImpl::AddCastLayer</a></div><div class="ttdeci">IConnectableLayer * AddCastLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02199">Network.cpp:2199</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a26e69cda5fe9642f9198c24ae5fdf9bc"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a26e69cda5fe9642f9198c24ae5fdf9bc">armnn::INetwork::AddSwitchLayer</a></div><div class="ttdeci">IConnectableLayer * AddSwitchLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a switch layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00569">Network.cpp:569</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a0cd848f65ec31778d708852f0042fe37"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a0cd848f65ec31778d708852f0042fe37">armnn::LstmInputParams::m_InputLayerNormWeights</a></div><div class="ttdeci">const ConstTensor * m_InputLayerNormWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00057">LstmParams.hpp:57</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_aab976306ba3424cbc0c7ea33417d718d"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aab976306ba3424cbc0c7ea33417d718d">armnn::INetwork::AddElementwiseBinaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseBinaryLayer(const ElementwiseBinaryDescriptor &elementwiseBinaryDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add an ElementwiseBinary layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00314">Network.cpp:314</a></div></div>
@@ -3627,15 +3638,15 @@
<div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb"><div class="ttname"><a href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9a5dd7c525cb1500a2181fd4cc079d7acb">armnn::ShapeInferenceMethod::InferAndValidate</a></div><div class="ttdeci">@ InferAndValidate</div><div class="ttdoc">Infer missing output shapes and validate all output shapes.</div></div>
<div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html">armnn::Convolution2dDescriptor</a></div><div class="ttdoc">A Convolution2dDescriptor for the Convolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00534">Descriptors.hpp:534</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimize_for_type_html"><div class="ttname"><a href="classarmnn_1_1_optimize_for_type.html">armnn::OptimizeForType</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.html#l00067">Optimization.hpp:67</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a08f9f3cdeb77b6a0c615e8fa48f0ee94"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">armnn::NetworkImpl::AddFusedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFusedLayer(const FusedDescriptor &fusedDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02228">Network.cpp:2228</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08">armnn::NetworkImpl::AddStandInLayer</a></div><div class="ttdeci">IConnectableLayer * AddStandInLayer(const StandInDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02690">Network.cpp:2690</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a08f9f3cdeb77b6a0c615e8fa48f0ee94"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">armnn::NetworkImpl::AddFusedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFusedLayer(const FusedDescriptor &fusedDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02239">Network.cpp:2239</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a74894d085e78ff80f45fc09dd2381f08"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a74894d085e78ff80f45fc09dd2381f08">armnn::NetworkImpl::AddStandInLayer</a></div><div class="ttdeci">IConnectableLayer * AddStandInLayer(const StandInDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02701">Network.cpp:2701</a></div></div>
<div class="ttc" id="astructarmnn_1_1_comparison_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_comparison_descriptor.html">armnn::ComparisonDescriptor</a></div><div class="ttdoc">A ComparisonDescriptor for the ComparisonLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00089">Descriptors.hpp:89</a></div></div>
<div class="ttc" id="astructarmnn_1_1_fill_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fill_descriptor.html">armnn::FillDescriptor</a></div><div class="ttdoc">A FillDescriptor for the FillLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00925">Descriptors.hpp:925</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_af13795cdf49e63d8bc3cb409592cdb9d"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af13795cdf49e63d8bc3cb409592cdb9d">armnn::INetwork::AddSubtractionLayer</a></div><div class="ttdeci">IConnectableLayer * AddSubtractionLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a subtraction layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00515">Network.cpp:515</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_html_a11f463726addcc1d2845266997d79e9c"><div class="ttname"><a href="structarmnn_1_1_optimizer_options.html#a11f463726addcc1d2845266997d79e9c">armnn::OptimizerOptions::m_ReduceFp32ToBf16</a></div><div class="ttdeci">bool m_ReduceFp32ToBf16</div><div class="ttdoc">@Note This feature has been replaced by enabling Fast Math in compute library backend options.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00247">INetwork.hpp:247</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div>
<div class="ttc" id="anamespacearmnn_html_a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389"><div class="ttname"><a href="namespacearmnn.html#a10c50bc964cc8cc559eebcd7df5a8af3aa47abd1077ef632a38ada05b6edbf389">armnn::CapabilityClass::PaddingRequired</a></div><div class="ttdeci">@ PaddingRequired</div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a40067b05f30a3ab65568c826df7a8ea7"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a40067b05f30a3ab65568c826df7a8ea7">armnn::NetworkImpl::AddQuantizedLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizedLstmLayer(const QuantizedLstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02696">Network.cpp:2696</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a40067b05f30a3ab65568c826df7a8ea7"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a40067b05f30a3ab65568c826df7a8ea7">armnn::NetworkImpl::AddQuantizedLstmLayer</a></div><div class="ttdeci">IConnectableLayer * AddQuantizedLstmLayer(const QuantizedLstmInputParams &params, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02707">Network.cpp:2707</a></div></div>
<div class="ttc" id="anamespacearmnn_html_af457790132251cde6545072d879c7684"><div class="ttname"><a href="namespacearmnn.html#af457790132251cde6545072d879c7684">armnn::ParseOptions</a></div><div class="ttdeci">void ParseOptions(const std::vector< BackendOptions > &options, BackendId backend, F f)</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00297">BackendOptions.hpp:297</a></div></div>
<div class="ttc" id="astructarmnn_1_1_stand_in_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_stand_in_descriptor.html">armnn::StandInDescriptor</a></div><div class="ttdoc">A StandInDescriptor for the StandIn layer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01281">Descriptors.hpp:1281</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_quantized_lstm_layer_html_ad3c37b52145c3cf1b4856c0df008a468"><div class="ttname"><a href="classarmnn_1_1_quantized_lstm_layer.html#ad3c37b52145c3cf1b4856c0df008a468">armnn::QuantizedLstmLayer::m_QuantizedLstmParameters</a></div><div class="ttdeci">QuantizedLstmParameters m_QuantizedLstmParameters</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_layer_8hpp_source.html#l00049">QuantizedLstmLayer.hpp:49</a></div></div>
@@ -3648,7 +3659,7 @@
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_ae1509d340bc981b11101c3316ee8afd6"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#ae1509d340bc981b11101c3316ee8afd6">armnn::optimizations::OptimizeInverseConversionsFp32</a></div><div class="ttdeci">OptimizeForConnection< ConvertFp32ToFp16Layer, ConvertFp16ToFp32Layer, OptimizeInverseConversionsImpl > OptimizeInverseConversionsFp32</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_inverse_conversions_8hpp_source.html#l00044">OptimizeInverseConversions.hpp:44</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_html_ae4f9f2c5e3b5cf694315f66cde5b33f0"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#ae4f9f2c5e3b5cf694315f66cde5b33f0">armnn::BackendSettings::IsCpuRefUsed</a></div><div class="ttdeci">bool IsCpuRefUsed() const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.html#l00061">BackendSettings.hpp:61</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_options_html"><div class="ttname"><a href="structarmnn_1_1_backend_options.html">armnn::BackendOptions</a></div><div class="ttdoc">Struct for the users to pass backend specific options.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00022">BackendOptions.hpp:22</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a357aca04172ed22fa32e5a69122b0fec"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec">armnn::NetworkImpl::AddDequantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddDequantizeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02618">Network.cpp:2618</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a357aca04172ed22fa32e5a69122b0fec"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a357aca04172ed22fa32e5a69122b0fec">armnn::NetworkImpl::AddDequantizeLayer</a></div><div class="ttdeci">IConnectableLayer * AddDequantizeLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02629">Network.cpp:2629</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00286">Layer.hpp:286</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html_ad1bbee7bf5f93b792675886f57d3ebe0"><div class="ttname"><a href="classarmnn_1_1_graph.html#ad1bbee7bf5f93b792675886f57d3ebe0">armnn::Graph::AddCompatibilityLayers</a></div><div class="ttdeci">void AddCompatibilityLayers(std::map< BackendId, std::unique_ptr< class IBackendInternal >> &backends, TensorHandleFactoryRegistry &registry)</div><div class="ttdoc">Modifies the graph in-place, removing edges connecting layers using different compute devices,...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.html#l00329">Graph.cpp:329</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_basic_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">armnn::LstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [input_size, num_units].</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_parameters_8hpp_source.html#l00057">LstmParameters.hpp:57</a></div></div>
@@ -3697,15 +3708,15 @@
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a8c0f6d48705f40c5590dde09be262222"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a8c0f6d48705f40c5590dde09be262222">armnn::LstmInputParams::m_OutputGateBias</a></div><div class="ttdeci">const ConstTensor * m_OutputGateBias</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00054">LstmParams.hpp:54</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_afdb1d37740e7a083b625d669588b6a0e"><div class="ttname"><a href="classarmnn_1_1_layer.html#afdb1d37740e7a083b625d669588b6a0e">armnn::Layer::GetBackendId</a></div><div class="ttdeci">const BackendId & GetBackendId() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00290">Layer.hpp:290</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_html"><div class="ttname"><a href="classarmnn_1_1_backend_id.html">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00075">BackendId.hpp:75</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaff51346dadec2c1430abf007fed4cc9"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aaff51346dadec2c1430abf007fed4cc9">armnn::NetworkImpl::AddL2NormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddL2NormalizationLayer(const L2NormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02408">Network.cpp:2408</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaff51346dadec2c1430abf007fed4cc9"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aaff51346dadec2c1430abf007fed4cc9">armnn::NetworkImpl::AddL2NormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddL2NormalizationLayer(const L2NormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02419">Network.cpp:2419</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_convolution3d_layer_html"><div class="ttname"><a href="classarmnn_1_1_convolution3d_layer.html">armnn::Convolution3dLayer</a></div><div class="ttdoc">This layer represents a convolution 3d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution3d_layer_8hpp_source.html#l00016">Convolution3dLayer.hpp:16</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aa51350bdd4976f3dd5a4e9d00a906b2c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aa51350bdd4976f3dd5a4e9d00a906b2c">armnn::NetworkImpl::AddActivationLayer</a></div><div class="ttdeci">IConnectableLayer * AddActivationLayer(const ActivationDescriptor &activationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02303">Network.cpp:2303</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aa51350bdd4976f3dd5a4e9d00a906b2c"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aa51350bdd4976f3dd5a4e9d00a906b2c">armnn::NetworkImpl::AddActivationLayer</a></div><div class="ttdeci">IConnectableLayer * AddActivationLayer(const ActivationDescriptor &activationDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02314">Network.cpp:2314</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_ab40bb51feca46649eb9d00522bfe51f6"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#ab40bb51feca46649eb9d00522bfe51f6">armnn::optimizations::FuseBatchNormIntoDepthwiseConvolution2DFloat16</a></div><div class="ttdeci">OptimizeForExclusiveConnection< DepthwiseConvolution2dLayer, BatchNormalizationLayer, FuseBatchNorm< DepthwiseConvolution2dLayer, armnn::DataType::Float16 > > FuseBatchNormIntoDepthwiseConvolution2DFloat16</div><div class="ttdef"><b>Definition:</b> <a href="_fuse_batch_norm_8hpp_source.html#l00237">FuseBatchNorm.hpp:237</a></div></div>
<div class="ttc" id="astructarmnn_1_1_origins_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a></div><div class="ttdoc">An OriginsDescriptor for the ConcatLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00201">Descriptors.hpp:201</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a9173495a61a0092b5f38b855f02c3585"><div class="ttname"><a href="namespacearmnn.html#a9173495a61a0092b5f38b855f02c3585">armnn::BackendsMap</a></div><div class="ttdeci">std::map< BackendId, std::unique_ptr< class IBackendInternal > > BackendsMap</div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00282">Network.hpp:282</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea39f8662ca778258e9c6a14f26fec5ec1">armnn::Compute::CpuAcc</a></div><div class="ttdeci">@ CpuAcc</div><div class="ttdoc">CPU Execution: NEON: ArmCompute.</div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_ab03e6e1514f74427916c892f473fe04c"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#ab03e6e1514f74427916c892f473fe04c">armnn::LstmInputParams::m_ProjectionWeights</a></div><div class="ttdeci">const ConstTensor * m_ProjectionWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00055">LstmParams.hpp:55</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aee282f8e3379d3f5bed1032d20884248"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aee282f8e3379d3f5bed1032d20884248">armnn::NetworkImpl::AddPooling3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling3dLayer(const Pooling3dDescriptor &pooling3dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02297">Network.cpp:2297</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aee282f8e3379d3f5bed1032d20884248"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aee282f8e3379d3f5bed1032d20884248">armnn::NetworkImpl::AddPooling3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling3dLayer(const Pooling3dDescriptor &pooling3dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02308">Network.cpp:2308</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a4527a67076f983e8db3496207d120fb5"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a4527a67076f983e8db3496207d120fb5">armnn::OptimizerOptionsOpaque::GetProfilingEnabled</a></div><div class="ttdeci">bool GetProfilingEnabled() const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00156">Network.cpp:156</a></div></div>
<div class="ttc" id="astructarmnn_1_1_lstm_input_params_html_a31da1ead6794dd64571afdd0b6efc771"><div class="ttname"><a href="structarmnn_1_1_lstm_input_params.html#a31da1ead6794dd64571afdd0b6efc771">armnn::LstmInputParams::m_InputToForgetWeights</a></div><div class="ttdeci">const ConstTensor * m_InputToForgetWeights</div><div class="ttdef"><b>Definition:</b> <a href="_lstm_params_8hpp_source.html#l00041">LstmParams.hpp:41</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00056">Layer.hpp:56</a></div></div>
@@ -3721,7 +3732,7 @@
<div class="ttc" id="aclassarmnn_1_1_pre_compiled_layer_html_a1e06bf299b99f9eecb2e8ac5ce7457e2"><div class="ttname"><a href="classarmnn_1_1_pre_compiled_layer.html#a1e06bf299b99f9eecb2e8ac5ce7457e2">armnn::PreCompiledLayer::SetPreCompiledObject</a></div><div class="ttdeci">void SetPreCompiledObject(PreCompiledObjectPtr preCompiledObject)</div><div class="ttdef"><b>Definition:</b> <a href="_pre_compiled_layer_8cpp_source.html#l00047">PreCompiledLayer.cpp:47</a></div></div>
<div class="ttc" id="a_layer_8hpp_html"><div class="ttname"><a href="_layer_8hpp.html">Layer.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a316670cb6b65902e017c32ca4bcb4b98"><div class="ttname"><a href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &id) override</div><div class="ttdoc">Set the backend of the IConnectableLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00291">Layer.hpp:291</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ae913b4351b7027f37eb5657dd7867733">armnn::NetworkImpl::AddPooling2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling2dLayer(const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02291">Network.cpp:2291</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ae913b4351b7027f37eb5657dd7867733"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ae913b4351b7027f37eb5657dd7867733">armnn::NetworkImpl::AddPooling2dLayer</a></div><div class="ttdeci">IConnectableLayer * AddPooling2dLayer(const Pooling2dDescriptor &pooling2dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02302">Network.cpp:2302</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_elementwise_unary_layer_html"><div class="ttname"><a href="classarmnn_1_1_elementwise_unary_layer.html">armnn::ElementwiseUnaryLayer</a></div><div class="ttdoc">This layer represents a elementwiseUnary operation.</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_unary_layer_8hpp_source.html#l00014">ElementwiseUnaryLayer.hpp:14</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_detection_post_process_layer_html"><div class="ttname"><a href="classarmnn_1_1_detection_post_process_layer.html">armnn::DetectionPostProcessLayer</a></div><div class="ttdoc">This layer represents a detection postprocess operator.</div><div class="ttdef"><b>Definition:</b> <a href="_detection_post_process_layer_8hpp_source.html#l00016">DetectionPostProcessLayer.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a78aff12fa10e9a2df9989a469ba0b7bd"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a78aff12fa10e9a2df9989a469ba0b7bd">armnn::OptimizerOptionsOpaque::SetProfilingEnabled</a></div><div class="ttdeci">void SetProfilingEnabled(bool ProfilingState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00121">Network.cpp:121</a></div></div>
@@ -3736,39 +3747,39 @@
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_a339c19855613274cf0ea13921af9e5a3"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#a339c19855613274cf0ea13921af9e5a3">armnn::QuantizedLstmInputParams::GetInputToForgetWeights</a></div><div class="ttdeci">const ConstTensor & GetInputToForgetWeights() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00063">QuantizedLstmParams.hpp:63</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a43de8213707de0e76d80a32cd4b9b482"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a43de8213707de0e76d80a32cd4b9b482">armnn::INetwork::AddConvolution3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution3dLayer(const Convolution3dDescriptor &convolution3dDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a 3D convolution layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00278">Network.cpp:278</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407a7b83d3f08fa392b79e3f553b585971cd">armnn::BoostLogSeverityMapping::warning</a></div><div class="ttdeci">@ warning</div></div>
-<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00327">Tensor.hpp:327</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00080">INetwork.hpp:80</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_permute_layer_html"><div class="ttname"><a href="classarmnn_1_1_permute_layer.html">armnn::PermuteLayer</a></div><div class="ttdoc">This layer represents a permutation operation.</div><div class="ttdef"><b>Definition:</b> <a href="_permute_layer_8hpp_source.html#l00015">PermuteLayer.hpp:15</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_html_a1f48ba622b76ea04d15c9b62f642bf08"><div class="ttname"><a href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a></div><div class="ttdeci">static void Pass(Graph &graph, const Optimizations &optimizations)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8cpp_source.html#l00016">Optimizer.cpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_device_spec_html"><div class="ttname"><a href="classarmnn_1_1_i_device_spec.html">armnn::IDeviceSpec</a></div><div class="ttdoc">Device specific knowledge to be passed to the optimizer.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00299">Types.hpp:299</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_abb59f6ba9988dae88e0f48e68d87fc32"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#abb59f6ba9988dae88e0f48e68d87fc32">armnn::NetworkImpl::AddMultiplicationLayer</a></div><div class="ttdeci">IConnectableLayer * AddMultiplicationLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02354">Network.cpp:2354</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_abb59f6ba9988dae88e0f48e68d87fc32"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#abb59f6ba9988dae88e0f48e68d87fc32">armnn::NetworkImpl::AddMultiplicationLayer</a></div><div class="ttdeci">IConnectableLayer * AddMultiplicationLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02365">Network.cpp:2365</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_ac5d107c5672f446603b6e6b92bce6244"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#ac5d107c5672f446603b6e6b92bce6244">armnn::IBackendInternal::GetHandleFactoryPreferences</a></div><div class="ttdeci">virtual std::vector< ITensorHandleFactory::FactoryId > GetHandleFactoryPreferences() const</div><div class="ttdoc">(Optional) Returns a vector of supported TensorHandleFactory ids in preference order.</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8cpp_source.html#l00143">IBackendInternal.cpp:143</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a5b6893cda5b69359a4244c06054da18f"><div class="ttname"><a href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">armnn::ModelOptions</a></div><div class="ttdeci">std::vector< BackendOptions > ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00018">BackendOptions.hpp:18</a></div></div>
-<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a227e9ab5e488aa90ba462790ba0e5aec"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a227e9ab5e488aa90ba462790ba0e5aec">armnn::optimizations::FoldPadIntoDepthwiseConvolution2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, DepthwiseConvolution2dLayer, pad_fold::FoldPadIntoDepthwiseConvolution2dImpl > FoldPadIntoDepthwiseConvolution2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.html#l00258">FoldPadIntoLayer2d.hpp:258</a></div></div>
+<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a227e9ab5e488aa90ba462790ba0e5aec"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a227e9ab5e488aa90ba462790ba0e5aec">armnn::optimizations::FoldPadIntoDepthwiseConvolution2d</a></div><div class="ttdeci">OptimizeForExclusiveConnection< PadLayer, DepthwiseConvolution2dLayer, pad_fold::FoldPadIntoDepthwiseConvolution2dImpl > FoldPadIntoDepthwiseConvolution2d</div><div class="ttdef"><b>Definition:</b> <a href="_fold_pad_into_layer2d_8hpp_source.html#l00281">FoldPadIntoLayer2d.hpp:281</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a095a9b700dc857edc23c5d3bf088919f"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a095a9b700dc857edc23c5d3bf088919f">armnn::INetwork::AddElementwiseUnaryLayer</a></div><div class="ttdeci">IConnectableLayer * AddElementwiseUnaryLayer(const ElementwiseUnaryDescriptor &elementwiseUnaryDescriptor, const char *name=nullptr)</div><div class="ttdoc">Add an ElementwiseUnary layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00320">Network.cpp:320</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01481">Descriptors.hpp:1481</a></div></div>
<div class="ttc" id="astructarmnn_1_1_detection_post_process_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_detection_post_process_descriptor.html">armnn::DetectionPostProcessDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00713">Descriptors.hpp:713</a></div></div>
<div class="ttc" id="a_timer_8hpp_html"><div class="ttname"><a href="_timer_8hpp.html">Timer.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pre_compiled_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pre_compiled_descriptor.html">armnn::PreCompiledDescriptor</a></div><div class="ttdoc">A PreCompiledDescriptor for the PreCompiledLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01367">Descriptors.hpp:1367</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ab71c4df72f6587aea671acaacd6a0d9a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ab71c4df72f6587aea671acaacd6a0d9a">armnn::NetworkImpl::AddConvertFp32ToFp16Layer</a></div><div class="ttdeci">IConnectableLayer * AddConvertFp32ToFp16Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02251">Network.cpp:2251</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ab71c4df72f6587aea671acaacd6a0d9a"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ab71c4df72f6587aea671acaacd6a0d9a">armnn::NetworkImpl::AddConvertFp32ToFp16Layer</a></div><div class="ttdeci">IConnectableLayer * AddConvertFp32ToFp16Layer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02262">Network.cpp:2262</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_1_1_filesystem_html_a0477efb2c6f5b41fbfe937fef6db312d"><div class="ttname"><a href="namespacearmnn_utils_1_1_filesystem.html#a0477efb2c6f5b41fbfe937fef6db312d">armnnUtils::Filesystem::CreateDirectory</a></div><div class="ttdeci">std::string CreateDirectory(std::string sPath)</div><div class="ttdoc">Returns full path to temporary folder.</div><div class="ttdef"><b>Definition:</b> <a href="_filesystem_8cpp_source.html#l00047">Filesystem.cpp:47</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_abd61d3e7ab67551c75bc219bbc4baeb5"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#abd61d3e7ab67551c75bc219bbc4baeb5">armnn::NetworkImpl::AddInstanceNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02413">Network.cpp:2413</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_scoped_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_scoped_tensor_handle.html">armnn::ScopedTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00115">TensorHandle.hpp:115</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a786be4af14ba595c9946f935ba99f170"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a786be4af14ba595c9946f935ba99f170">armnn::INetwork::AddChannelShuffleLayer</a></div><div class="ttdeci">IConnectableLayer * AddChannelShuffleLayer(const ChannelShuffleDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a ChannelShuffle layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00637">Network.cpp:637</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_abd61d3e7ab67551c75bc219bbc4baeb5"><div class="ttname"><a href="classarmnn_1_1_i_network.html#abd61d3e7ab67551c75bc219bbc4baeb5">armnn::INetwork::AddInstanceNormalizationLayer</a></div><div class="ttdeci">IConnectableLayer * AddInstanceNormalizationLayer(const InstanceNormalizationDescriptor &desc, const char *name=nullptr)</div><div class="ttdoc">Adds an instance normalization layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00450">Network.cpp:450</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_html_aa5df3120ee0fbb3321df3133ec9e83ae"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#aa5df3120ee0fbb3321df3133ec9e83ae">armnn::BackendSettings::IsBackendSupported</a></div><div class="ttdeci">bool IsBackendSupported(const BackendId &backend) const</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.html#l00046">BackendSettings.hpp:46</a></div></div>
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+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a1ba03515c88a4c042bffa446d306caf0"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a1ba03515c88a4c042bffa446d306caf0">armnn::NetworkImpl::NetworkImpl</a></div><div class="ttdeci">NetworkImpl(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02173">Network.cpp:2173</a></div></div>
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a29f8d97b2d74f99c88298881cd1d825b"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a29f8d97b2d74f99c88298881cd1d825b">armnn::optimizations::SquashEqualReshapeSiblings</a></div><div class="ttdeci">OptimizeForConnection< Layer, ReshapeLayer, SquashEqualSiblingsImpl< ReshapeLayer > > SquashEqualReshapeSiblings</div><div class="ttdef"><b>Definition:</b> <a href="_squash_equal_siblings_8hpp_source.html#l00070">SquashEqualSiblings.hpp:70</a></div></div>
<div class="ttc" id="astructarmnn_1_1_quantized_lstm_input_params_html_aba6d12c9d5671017b6711b80316069ff"><div class="ttname"><a href="structarmnn_1_1_quantized_lstm_input_params.html#aba6d12c9d5671017b6711b80316069ff">armnn::QuantizedLstmInputParams::GetInputGateBias</a></div><div class="ttdeci">const ConstTensor & GetInputGateBias() const</div><div class="ttdef"><b>Definition:</b> <a href="_quantized_lstm_params_8hpp_source.html#l00098">QuantizedLstmParams.hpp:98</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a435ea88480b8645026dd45fd692663a1"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a435ea88480b8645026dd45fd692663a1">armnn::INetwork::AddFloorLayer</a></div><div class="ttdeci">IConnectableLayer * AddFloorLayer(const char *name=nullptr)</div><div class="ttdoc">Adds a floor layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00492">Network.cpp:492</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a43de8213707de0e76d80a32cd4b9b482"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a43de8213707de0e76d80a32cd4b9b482">armnn::NetworkImpl::AddConvolution3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution3dLayer(const Convolution3dDescriptor &convolution3dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02256">Network.cpp:2256</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a43de8213707de0e76d80a32cd4b9b482"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a43de8213707de0e76d80a32cd4b9b482">armnn::NetworkImpl::AddConvolution3dLayer</a></div><div class="ttdeci">IConnectableLayer * AddConvolution3dLayer(const Convolution3dDescriptor &convolution3dDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02267">Network.cpp:2267</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_resize_layer_html"><div class="ttname"><a href="classarmnn_1_1_resize_layer.html">armnn::ResizeLayer</a></div><div class="ttdoc">This layer represents a resize operation.</div><div class="ttdef"><b>Definition:</b> <a href="_resize_layer_8hpp_source.html#l00013">ResizeLayer.hpp:13</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_maximum_layer_html"><div class="ttname"><a href="classarmnn_1_1_maximum_layer.html">armnn::MaximumLayer</a></div><div class="ttdoc">This layer represents a maximum operation.</div><div class="ttdef"><b>Definition:</b> <a href="_maximum_layer_8hpp_source.html#l00014">MaximumLayer.hpp:14</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a738d3243c1dc564304d78908c6112e4f"><div class="ttname"><a href="namespacearmnn.html#a738d3243c1dc564304d78908c6112e4f">armnn::CalculateEdgeStrategy</a></div><div class="ttdeci">EdgeStrategy CalculateEdgeStrategy(BackendsMap &backends, ITensorHandleFactory::FactoryId srcFactoryId, const Layer &layer, const Layer &connectedLayer, TensorHandleFactoryRegistry &registry, bool importEnabled)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l01723">Network.cpp:1723</a></div></div>
<div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00371">Descriptors.hpp:371</a></div></div>
-<div class="ttc" id="anamespacearmnn_html_aa42e128b41f4e966fc901f9bf42c5a1c"><div class="ttname"><a href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptionsOpaque &options=OptimizerOptionsOpaque(), Optional< std::vector< std::string > & > messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02121">Network.cpp:2121</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a5c58d2b496d24e637f613af857aa3c3d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a5c58d2b496d24e637f613af857aa3c3d">armnn::NetworkImpl::AddChannelShuffleLayer</a></div><div class="ttdeci">IConnectableLayer * AddChannelShuffleLayer(const ChannelShuffleDescriptor &channelShuffleDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02192">Network.cpp:2192</a></div></div>
+<div class="ttc" id="anamespacearmnn_html_aa42e128b41f4e966fc901f9bf42c5a1c"><div class="ttname"><a href="namespacearmnn.html#aa42e128b41f4e966fc901f9bf42c5a1c">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptionsOpaque &options=OptimizerOptionsOpaque(), Optional< std::vector< std::string > & > messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02132">Network.cpp:2132</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a5c58d2b496d24e637f613af857aa3c3d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a5c58d2b496d24e637f613af857aa3c3d">armnn::NetworkImpl::AddChannelShuffleLayer</a></div><div class="ttdeci">IConnectableLayer * AddChannelShuffleLayer(const ChannelShuffleDescriptor &channelShuffleDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02203">Network.cpp:2203</a></div></div>
<div class="ttc" id="astructarmnn_1_1_broadcast_to_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_broadcast_to_descriptor.html">armnn::BroadcastToDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01659">Descriptors.hpp:1659</a></div></div>
<div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html">armnn::DepthwiseConvolution2dDescriptor</a></div><div class="ttdoc">A DepthwiseConvolution2dDescriptor for the DepthwiseConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00659">Descriptors.hpp:659</a></div></div>
<div class="ttc" id="anamespacearmnn_html_adf57837d00e8352d9b5cc5ab1fb5fee9"><div class="ttname"><a href="namespacearmnn.html#adf57837d00e8352d9b5cc5ab1fb5fee9">armnn::ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod</div><div class="ttdoc">The ShapeInferenceMethod modify how the output shapes are treated.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00235">Types.hpp:235</a></div></div>
@@ -3777,8 +3788,8 @@
<div class="ttc" id="anamespacearmnn_1_1optimizations_html_a2f9d1a13be2ac1c4213729a0ef181fc0"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#a2f9d1a13be2ac1c4213729a0ef181fc0">armnn::optimizations::OptimizeInverseTransposes</a></div><div class="ttdeci">OptimizeForConnection< TransposeLayer, TransposeLayer, OptimizeInversePermutesImpl< TransposeLayer > > OptimizeInverseTransposes</div><div class="ttdef"><b>Definition:</b> <a href="_optimize_inverse_permutes_8hpp_source.html#l00045">OptimizeInversePermutes.hpp:45</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_q_lstm_layer_html_aada2b9060461ecf785d483eee0dc071a"><div class="ttname"><a href="classarmnn_1_1_q_lstm_layer.html#aada2b9060461ecf785d483eee0dc071a">armnn::QLstmLayer::m_BasicParameters</a></div><div class="ttdeci">QLstmBasicParameters m_BasicParameters</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00083">QLstmLayer.hpp:83</a></div></div>
<div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01538">Descriptors.hpp:1538</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72b9d30e9d555bb5c35460b62faedf0d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d">armnn::NetworkImpl::AddSpaceToBatchNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor &spaceToBatchNdDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02435">Network.cpp:2435</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8de6b047fcaff95df48dca683e1f3aa4"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a8de6b047fcaff95df48dca683e1f3aa4">armnn::NetworkImpl::AddSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddSliceLayer(const SliceDescriptor &sliceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02322">Network.cpp:2322</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a72b9d30e9d555bb5c35460b62faedf0d"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a72b9d30e9d555bb5c35460b62faedf0d">armnn::NetworkImpl::AddSpaceToBatchNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddSpaceToBatchNdLayer(const SpaceToBatchNdDescriptor &spaceToBatchNdDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02446">Network.cpp:2446</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a8de6b047fcaff95df48dca683e1f3aa4"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a8de6b047fcaff95df48dca683e1f3aa4">armnn::NetworkImpl::AddSliceLayer</a></div><div class="ttdeci">IConnectableLayer * AddSliceLayer(const SliceDescriptor &sliceDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02333">Network.cpp:2333</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a35e19d74e14ce4cec0261b799a39c921"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a35e19d74e14ce4cec0261b799a39c921">armnn::INetwork::AddBroadcastToLayer</a></div><div class="ttdeci">IConnectableLayer * AddBroadcastToLayer(const BroadcastToDescriptor &descriptor, const char *name=nullptr)</div><div class="ttdoc">Add a BroadcastTo layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00660">Network.cpp:660</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a41ce159095e95f7cd4174ce5d4662697"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a41ce159095e95f7cd4174ce5d4662697">armnn::INetwork::Create</a></div><div class="ttdeci">static INetworkPtr Create(const NetworkOptions &networkOptions={})</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00676">Network.cpp:676</a></div></div>
<div class="ttc" id="astructarmnn_1_1_optimizer_options_opaque_impl_html"><div class="ttname"><a href="structarmnn_1_1_optimizer_options_opaque_impl.html">armnn::OptimizerOptionsOpaqueImpl</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_8hpp_source.html#l00307">Network.hpp:307</a></div></div>
@@ -3795,8 +3806,8 @@
<div class="ttc" id="anamespacearmnn_html_af362583b7b4c471c434cb0fdb86c2ae2"><div class="ttname"><a href="namespacearmnn.html#af362583b7b4c471c434cb0fdb86c2ae2">armnn::CompiledBlobPtr</a></div><div class="ttdeci">std::unique_ptr< void, CompiledBlobDeleter > CompiledBlobPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00343">INetwork.hpp:343</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_subgraph_view_selector_html_ab9e8c2ce720efe33c8a20b8f74bb9d5f"><div class="ttname"><a href="classarmnn_1_1_subgraph_view_selector.html#ab9e8c2ce720efe33c8a20b8f74bb9d5f">armnn::SubgraphViewSelector::Subgraphs</a></div><div class="ttdeci">std::vector< SubgraphView::SubgraphViewPtr > Subgraphs</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_selector_8hpp_source.html#l00024">SubgraphViewSelector.hpp:24</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaf5e9645806f49d0fcd7ac07ba187f4e"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e">armnn::NetworkImpl::AddGatherLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherLayer(const GatherDescriptor &gatherDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02629">Network.cpp:2629</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aee3a15d2fa419f50a8ac45e6d3c11e16"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16">armnn::NetworkImpl::AddPrecompiledLayer</a></div><div class="ttdeci">IConnectableLayer * AddPrecompiledLayer(const PreCompiledDescriptor &preCompiledDescriptor, CompiledBlobPtr compiledBlobPtr, const Optional< BackendId > &backend, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03039">Network.cpp:3039</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aaf5e9645806f49d0fcd7ac07ba187f4e"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aaf5e9645806f49d0fcd7ac07ba187f4e">armnn::NetworkImpl::AddGatherLayer</a></div><div class="ttdeci">IConnectableLayer * AddGatherLayer(const GatherDescriptor &gatherDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02640">Network.cpp:2640</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_aee3a15d2fa419f50a8ac45e6d3c11e16"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#aee3a15d2fa419f50a8ac45e6d3c11e16">armnn::NetworkImpl::AddPrecompiledLayer</a></div><div class="ttdeci">IConnectableLayer * AddPrecompiledLayer(const PreCompiledDescriptor &preCompiledDescriptor, CompiledBlobPtr compiledBlobPtr, const Optional< BackendId > &backend, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l03050">Network.cpp:3050</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a8bf1222ae8931bf663fa076b3e3b6f0e"><div class="ttname"><a href="namespacearmnn.html#a8bf1222ae8931bf663fa076b3e3b6f0e">armnn::CheckScaleSetOnQuantizedType</a></div><div class="ttdeci">bool CheckScaleSetOnQuantizedType(Layer *layer, Optional< std::vector< std::string > & > errMessages)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00795">Network.cpp:795</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch< std::is_reference< T >::value, T >::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optimizer_options_opaque_html_a2559eecf0b1317953b2ec24e83d0f0b4"><div class="ttname"><a href="classarmnn_1_1_optimizer_options_opaque.html#a2559eecf0b1317953b2ec24e83d0f0b4">armnn::OptimizerOptionsOpaque::SetDebugEnabled</a></div><div class="ttdeci">void SetDebugEnabled(bool DebugState)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00126">Network.cpp:126</a></div></div>
@@ -3804,7 +3815,7 @@
<div class="ttc" id="aclassarmnn_1_1_i_network_html_a9a9bcc00ae3d96343c93b437d6f77088"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a9a9bcc00ae3d96343c93b437d6f77088">armnn::INetwork::AddBatchToSpaceNdLayer</a></div><div class="ttdeci">IConnectableLayer * AddBatchToSpaceNdLayer(const BatchToSpaceNdDescriptor &batchToSpaceNdDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a batch to space ND layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00350">Network.cpp:350</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_aff3fde909d22ed157046682e70129259"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aff3fde909d22ed157046682e70129259">armnn::INetwork::PrintGraph</a></div><div class="ttdeci">Status PrintGraph()</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00237">Network.cpp:237</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_pad_layer_html"><div class="ttname"><a href="classarmnn_1_1_pad_layer.html">armnn::PadLayer</a></div><div class="ttdoc">This layer represents a pad operation.</div><div class="ttdef"><b>Definition:</b> <a href="_pad_layer_8hpp_source.html#l00014">PadLayer.hpp:14</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6e2df484ecc65bc82712590b96e04df4"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4">armnn::NetworkImpl::AddPadLayer</a></div><div class="ttdeci">IConnectableLayer * AddPadLayer(const PadDescriptor &padDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02608">Network.cpp:2608</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a6e2df484ecc65bc82712590b96e04df4"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a6e2df484ecc65bc82712590b96e04df4">armnn::NetworkImpl::AddPadLayer</a></div><div class="ttdeci">IConnectableLayer * AddPadLayer(const PadDescriptor &padDescriptor, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02619">Network.cpp:2619</a></div></div>
<div class="ttc" id="astructarmnn_1_1_softmax_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_softmax_descriptor.html">armnn::SoftmaxDescriptor</a></div><div class="ttdoc">A SoftmaxDescriptor for the SoftmaxLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00177">Descriptors.hpp:177</a></div></div>
<div class="ttc" id="astructarmnn_1_1_backend_settings_html_ae6d0506ac92f9ba9529d019847144aa3"><div class="ttname"><a href="structarmnn_1_1_backend_settings.html#ae6d0506ac92f9ba9529d019847144aa3">armnn::BackendSettings::m_PreferredBackends</a></div><div class="ttdeci">BackendIdVector m_PreferredBackends</div><div class="ttdef"><b>Definition:</b> <a href="_backend_settings_8hpp_source.html#l00020">BackendSettings.hpp:20</a></div></div>
<div class="ttc" id="astructarmnn_1_1_q_lstm_basic_parameters_html_aafad117fb253359c1d472c9faefe49ef"><div class="ttname"><a href="structarmnn_1_1_q_lstm_basic_parameters.html#aafad117fb253359c1d472c9faefe49ef">armnn::QLstmBasicParameters::m_InputToForgetWeights</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_InputToForgetWeights</div><div class="ttdoc">A unique pointer to represent 2D weights tensor with dimensions [num_units, inputSize] (QSymmS8).</div><div class="ttdef"><b>Definition:</b> <a href="_q_lstm_layer_8hpp_source.html#l00017">QLstmLayer.hpp:17</a></div></div>
@@ -3812,9 +3823,9 @@
<div class="ttc" id="aclassarmnn_1_1_i_network_html_aa6c1c42ea44777302e87ce0fad5ac510"><div class="ttname"><a href="classarmnn_1_1_i_network.html#aa6c1c42ea44777302e87ce0fad5ac510">armnn::INetwork::AddInputLayer</a></div><div class="ttdeci">IConnectableLayer * AddInputLayer(LayerBindingId id, const char *name=nullptr)</div><div class="ttdoc">Adds an input layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00242">Network.cpp:242</a></div></div>
<div class="ttc" id="astructarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01075">Descriptors.hpp:1075</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_base_html_a86b749ce2c4bc627fa8a1fcfaf0e314f"><div class="ttname"><a href="classarmnn_1_1_optional_base.html#a86b749ce2c4bc627fa8a1fcfaf0e314f">armnn::OptionalBase::has_value</a></div><div class="ttdeci">bool has_value() const noexcept</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00053">Optional.hpp:53</a></div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a57590d7777211673d2052f702f0b07a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a57590d7777211673d2052f702f0b07a1">armnn::NetworkImpl::AddMaximumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMaximumLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02339">Network.cpp:2339</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_a57590d7777211673d2052f702f0b07a1"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#a57590d7777211673d2052f702f0b07a1">armnn::NetworkImpl::AddMaximumLayer</a></div><div class="ttdeci">IConnectableLayer * AddMaximumLayer(const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02350">Network.cpp:2350</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_network_html_af760179196d57e2ddbc64b989fb72586"><div class="ttname"><a href="classarmnn_1_1_i_network.html#af760179196d57e2ddbc64b989fb72586">armnn::INetwork::~INetwork</a></div><div class="ttdeci">~INetwork()</div></div>
-<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac1134a94265293ea7347180260f787d2"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ac1134a94265293ea7347180260f787d2">armnn::NetworkImpl::AddDetectionPostProcessLayer</a></div><div class="ttdeci">IConnectableLayer * AddDetectionPostProcessLayer(const DetectionPostProcessDescriptor &descriptor, const ConstTensor &anchors, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02275">Network.cpp:2275</a></div></div>
+<div class="ttc" id="aclassarmnn_1_1_network_impl_html_ac1134a94265293ea7347180260f787d2"><div class="ttname"><a href="classarmnn_1_1_network_impl.html#ac1134a94265293ea7347180260f787d2">armnn::NetworkImpl::AddDetectionPostProcessLayer</a></div><div class="ttdeci">IConnectableLayer * AddDetectionPostProcessLayer(const DetectionPostProcessDescriptor &descriptor, const ConstTensor &anchors, const char *name=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l02286">Network.cpp:2286</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_merge_layer_html"><div class="ttname"><a href="classarmnn_1_1_merge_layer.html">armnn::MergeLayer</a></div><div class="ttdoc">This layer dequantizes the input tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_merge_layer_8hpp_source.html#l00013">MergeLayer.hpp:13</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
@@ -3831,7 +3842,7 @@
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