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+<div class="title">LstmTestImpl.hpp File Reference</div>  </div>
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+<div class="contents">
+<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.html">LayerTestResult.hpp</a>&quot;</code><br />
+<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
+<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
+</div>
+<p><a href="_lstm_test_impl_8hpp_source.html">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:ae5aae49a1e7c7ff2cb80cba1ae421ea6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#ae5aae49a1e7c7ff2cb80cba1ae421ea6">LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:ae5aae49a1e7c7ff2cb80cba1ae421ea6"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:aec44c163ed62de4b5c9bd573cb7f7b3e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#aec44c163ed62de4b5c9bd573cb7f7b3e">LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:aec44c163ed62de4b5c9bd573cb7f7b3e"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac53b419b4aa942d611bcc973afdd7716"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#ac53b419b4aa942d611bcc973afdd7716">LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:ac53b419b4aa942d611bcc973afdd7716"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9901861134e17a59931e45a4137ddb39"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#a9901861134e17a59931e45a4137ddb39">LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNormTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:a9901861134e17a59931e45a4137ddb39"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a52b75282b3f67fd2e1063eb93ad28441"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int16_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#a52b75282b3f67fd2e1063eb93ad28441">LstmLayerInt16NoCifgNoPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
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+<tr class="memitem:a99aca3dec6d8a2eedfc40570fc34ecfb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int16_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#a99aca3dec6d8a2eedfc40570fc34ecfb">LstmLayerInt16WithCifgWithPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:a99aca3dec6d8a2eedfc40570fc34ecfb"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:acbc18f78670dccdd94e0cbb04627b9aa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int16_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#acbc18f78670dccdd94e0cbb04627b9aa">LstmLayerInt16NoCifgWithPeepholeWithProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:acbc18f78670dccdd94e0cbb04627b9aa"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9c20ecb007b2beacc8c4fa05778eb450"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; int16_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#a9c20ecb007b2beacc8c4fa05778eb450">LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:a9c20ecb007b2beacc8c4fa05778eb450"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a03b7b4da7af98cb4fa9bbecb785ce5dd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8hpp.html#a03b7b4da7af98cb4fa9bbecb785ce5dd">QuantizedLstmTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
+<tr class="separator:a03b7b4da7af98cb4fa9bbecb785ce5dd"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="aec44c163ed62de4b5c9bd573cb7f7b3e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aec44c163ed62de4b5c9bd573cb7f7b3e">&#9670;&nbsp;</a></span>LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l01926">1926</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l01929"></a><span class="lineno"> 1929</span>&#160;{</div><div class="line"><a name="l01930"></a><span class="lineno"> 1930</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({2, 2}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01931"></a><span class="lineno"> 1931</span>&#160;    boost::multi_array&lt;float, 2&gt; input = MakeTensor&lt;float, 2&gt;(inputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01932"></a><span class="lineno"> 1932</span>&#160;            {2., 3., 3., 4.}));</div><div class="line"><a name="l01933"></a><span class="lineno"> 1933</span>&#160;</div><div class="line"><a name="l01934"></a><span class="lineno"> 1934</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({2, 4}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01935"></a><span class="lineno"> 1935</span>&#160;    boost::multi_array&lt;float, 2&gt; expectedOutput = MakeTensor&lt;float, 2&gt;(outputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01936"></a><span class="lineno"> 1936</span>&#160;            {{-0.02973187f, 0.1229473f,   0.20885126f, -0.15358765f,</div><div class="line"><a name="l01937"></a><span class="lineno"> 1937</span>&#160;              -0.0185422f,   0.11281417f,  0.24466537f, -0.1826292f}}));</div><div class="line"><a name="l01938"></a><span class="lineno"> 1938</span>&#160;</div><div class="line"><a name="l01939"></a><span class="lineno"> 1939</span>&#160;    <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l01940"></a><span class="lineno"> 1940</span>&#160;        workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l01941"></a><span class="lineno"> 1941</span>&#160;}</div><div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="ac53b419b4aa942d611bcc973afdd7716"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac53b419b4aa942d611bcc973afdd7716">&#9670;&nbsp;</a></span>LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l01904">1904</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l01907"></a><span class="lineno"> 1907</span>&#160;{</div><div class="line"><a name="l01908"></a><span class="lineno"> 1908</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({ 2, 5 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01909"></a><span class="lineno"> 1909</span>&#160;    boost::multi_array&lt;float, 2&gt; input = MakeTensor&lt;float, 2&gt;(inputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01910"></a><span class="lineno"> 1910</span>&#160;            {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f,</div><div class="line"><a name="l01911"></a><span class="lineno"> 1911</span>&#160;             0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}));</div><div class="line"><a name="l01912"></a><span class="lineno"> 1912</span>&#160;</div><div class="line"><a name="l01913"></a><span class="lineno"> 1913</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({ 2, 16 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01914"></a><span class="lineno"> 1914</span>&#160;    boost::multi_array&lt;float, 2&gt; expectedOutput = MakeTensor&lt;float, 2&gt;(outputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01915"></a><span class="lineno"> 1915</span>&#160;            {-0.00396806f, 0.029352f,     -0.00279226f, 0.0159977f,   -0.00835576f,</div><div class="line"><a name="l01916"></a><span class="lineno"> 1916</span>&#160;             -0.0211779f,  0.0283512f,    -0.0114597f,  0.00907307f,  -0.0244004f,</div><div class="line"><a name="l01917"></a><span class="lineno"> 1917</span>&#160;             -0.0152191f,  -0.0259063f,   0.00914318f,  0.00415118f,  0.017147f,</div><div class="line"><a name="l01918"></a><span class="lineno"> 1918</span>&#160;             0.0134203f, -0.013869f,    0.0287268f,   -0.00334693f, 0.00733398f,  -0.0287926f,</div><div class="line"><a name="l01919"></a><span class="lineno"> 1919</span>&#160;             -0.0186926f,   0.0193662f,   -0.0115437f,  0.00422612f,  -0.0345232f,</div><div class="line"><a name="l01920"></a><span class="lineno"> 1920</span>&#160;             0.00223253f,   -0.00957321f, 0.0210624f,   0.013331f,    0.0150954f,</div><div class="line"><a name="l01921"></a><span class="lineno"> 1921</span>&#160;             0.02168f}));</div><div class="line"><a name="l01922"></a><span class="lineno"> 1922</span>&#160;    <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l01923"></a><span class="lineno"> 1923</span>&#160;        workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l01924"></a><span class="lineno"> 1924</span>&#160;}</div><div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a9901861134e17a59931e45a4137ddb39"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9901861134e17a59931e45a4137ddb39">&#9670;&nbsp;</a></span>LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNormTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNormTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l01943">1943</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l01946"></a><span class="lineno"> 1946</span>&#160;{</div><div class="line"><a name="l01947"></a><span class="lineno"> 1947</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({ 2, 5 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01948"></a><span class="lineno"> 1948</span>&#160;    boost::multi_array&lt;float, 2&gt; input = MakeTensor&lt;float, 2&gt;(inputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01949"></a><span class="lineno"> 1949</span>&#160;            {0.7f, 0.8f, 0.1f, 0.2f, 0.3f,     <span class="comment">//batch 0</span></div><div class="line"><a name="l01950"></a><span class="lineno"> 1950</span>&#160;             0.3f, 0.2f, 0.9f, 0.8f, 0.1f}));  <span class="comment">//batch 1</span></div><div class="line"><a name="l01951"></a><span class="lineno"> 1951</span>&#160;</div><div class="line"><a name="l01952"></a><span class="lineno"> 1952</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({ 2, 3 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01953"></a><span class="lineno"> 1953</span>&#160;    boost::multi_array&lt;float, 2&gt; expectedOutput = MakeTensor&lt;float, 2&gt;(outputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01954"></a><span class="lineno"> 1954</span>&#160;            {  0.0244077f,  0.128027f, -0.00170918f,    <span class="comment">//batch 0</span></div><div class="line"><a name="l01955"></a><span class="lineno"> 1955</span>&#160;             -0.00692428f, 0.0848741f,    0.063445f})); <span class="comment">//batch 1</span></div><div class="line"><a name="l01956"></a><span class="lineno"> 1956</span>&#160;    <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionWithLayerNormTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l01957"></a><span class="lineno"> 1957</span>&#160;            workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l01958"></a><span class="lineno"> 1958</span>&#160;}</div><div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="ae5aae49a1e7c7ff2cb80cba1ae421ea6"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ae5aae49a1e7c7ff2cb80cba1ae421ea6">&#9670;&nbsp;</a></span>LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l01888">1888</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l01891"></a><span class="lineno"> 1891</span>&#160;{</div><div class="line"><a name="l01892"></a><span class="lineno"> 1892</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({ 2, 2 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01893"></a><span class="lineno"> 1893</span>&#160;    boost::multi_array&lt;float, 2&gt; input = MakeTensor&lt;float, 2&gt;(inputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01894"></a><span class="lineno"> 1894</span>&#160;            { 2., 3., 3., 4. }));</div><div class="line"><a name="l01895"></a><span class="lineno"> 1895</span>&#160;</div><div class="line"><a name="l01896"></a><span class="lineno"> 1896</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({ 2, 4 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l01897"></a><span class="lineno"> 1897</span>&#160;    boost::multi_array&lt;float, 2&gt; expectedOutput = MakeTensor&lt;float, 2&gt;(outputDesc, std::vector&lt;float&gt;(</div><div class="line"><a name="l01898"></a><span class="lineno"> 1898</span>&#160;            {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f,</div><div class="line"><a name="l01899"></a><span class="lineno"> 1899</span>&#160;             -0.42734814f, -0.00478661f,  0.13455015f, -0.03560682f}));</div><div class="line"><a name="l01900"></a><span class="lineno"> 1900</span>&#160;    <span class="keywordflow">return</span> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l01901"></a><span class="lineno"> 1901</span>&#160;        workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l01902"></a><span class="lineno"> 1902</span>&#160;}</div><div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a9c20ecb007b2beacc8c4fa05778eb450"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9c20ecb007b2beacc8c4fa05778eb450">&#9670;&nbsp;</a></span>LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int16_t, 2&gt; LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l02063">2063</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l02066"></a><span class="lineno"> 2066</span>&#160;{</div><div class="line"><a name="l02067"></a><span class="lineno"> 2067</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l02068"></a><span class="lineno"> 2068</span>&#160;    <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02069"></a><span class="lineno"> 2069</span>&#160;</div><div class="line"><a name="l02070"></a><span class="lineno"> 2070</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>; <span class="comment">// datatype &amp; constants set to QSymm16</span></div><div class="line"><a name="l02071"></a><span class="lineno"> 2071</span>&#160;</div><div class="line"><a name="l02072"></a><span class="lineno"> 2072</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({2, 2}, datatype);</div><div class="line"><a name="l02073"></a><span class="lineno"> 2073</span>&#160;    boost::multi_array&lt;int16_t , 2&gt; input =</div><div class="line"><a name="l02074"></a><span class="lineno"> 2074</span>&#160;        MakeTensor&lt;int16_t , 2&gt;(inputDesc,</div><div class="line"><a name="l02075"></a><span class="lineno"> 2075</span>&#160;                                armnnUtils::QuantizedVector&lt;int16_t&gt;({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02076"></a><span class="lineno"> 2076</span>&#160;</div><div class="line"><a name="l02077"></a><span class="lineno"> 2077</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({2, 4}, datatype);</div><div class="line"><a name="l02078"></a><span class="lineno"> 2078</span>&#160;    boost::multi_array&lt;int16_t, 2&gt; expectedOutput =</div><div class="line"><a name="l02079"></a><span class="lineno"> 2079</span>&#160;        MakeTensor&lt;int16_t, 2&gt;(</div><div class="line"><a name="l02080"></a><span class="lineno"> 2080</span>&#160;            outputDesc,</div><div class="line"><a name="l02081"></a><span class="lineno"> 2081</span>&#160;            armnnUtils::QuantizedVector&lt;int16_t&gt;(</div><div class="line"><a name="l02082"></a><span class="lineno"> 2082</span>&#160;                {</div><div class="line"><a name="l02083"></a><span class="lineno"> 2083</span>&#160;                    -0.02973187f, 0.12294730f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l02084"></a><span class="lineno"> 2084</span>&#160;                    -0.01854220f, 0.11281417f, 0.24466537f, -0.18262920f</div><div class="line"><a name="l02085"></a><span class="lineno"> 2085</span>&#160;                },</div><div class="line"><a name="l02086"></a><span class="lineno"> 2086</span>&#160;                qScale, qOffset));</div><div class="line"><a name="l02087"></a><span class="lineno"> 2087</span>&#160;</div><div class="line"><a name="l02088"></a><span class="lineno"> 2088</span>&#160;    <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl&lt;datatype&gt;(</div><div class="line"><a name="l02089"></a><span class="lineno"> 2089</span>&#160;        workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, datatype);</div><div class="line"><a name="l02090"></a><span class="lineno"> 2090</span>&#160;}</div><div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a52b75282b3f67fd2e1063eb93ad28441"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a52b75282b3f67fd2e1063eb93ad28441">&#9670;&nbsp;</a></span>LstmLayerInt16NoCifgNoPeepholeNoProjectionTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int16_t, 2&gt; LstmLayerInt16NoCifgNoPeepholeNoProjectionTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l01960">1960</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l01963"></a><span class="lineno"> 1963</span>&#160;{</div><div class="line"><a name="l01964"></a><span class="lineno"> 1964</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l01965"></a><span class="lineno"> 1965</span>&#160;    <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l01966"></a><span class="lineno"> 1966</span>&#160;</div><div class="line"><a name="l01967"></a><span class="lineno"> 1967</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div><div class="line"><a name="l01968"></a><span class="lineno"> 1968</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> constantDatatype = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l01969"></a><span class="lineno"> 1969</span>&#160;</div><div class="line"><a name="l01970"></a><span class="lineno"> 1970</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({2, 2}, datatype);</div><div class="line"><a name="l01971"></a><span class="lineno"> 1971</span>&#160;    boost::multi_array&lt;int16_t , 2&gt; input = MakeTensor&lt;int16_t , 2&gt;(</div><div class="line"><a name="l01972"></a><span class="lineno"> 1972</span>&#160;        inputDesc,</div><div class="line"><a name="l01973"></a><span class="lineno"> 1973</span>&#160;        armnnUtils::QuantizedVector&lt;int16_t&gt;({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l01974"></a><span class="lineno"> 1974</span>&#160;</div><div class="line"><a name="l01975"></a><span class="lineno"> 1975</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({2, 4}, datatype);</div><div class="line"><a name="l01976"></a><span class="lineno"> 1976</span>&#160;    boost::multi_array&lt;int16_t, 2&gt; expectedOutput = MakeTensor&lt;int16_t, 2&gt;(</div><div class="line"><a name="l01977"></a><span class="lineno"> 1977</span>&#160;        outputDesc,</div><div class="line"><a name="l01978"></a><span class="lineno"> 1978</span>&#160;        armnnUtils::QuantizedVector&lt;int16_t&gt;(</div><div class="line"><a name="l01979"></a><span class="lineno"> 1979</span>&#160;            {</div><div class="line"><a name="l01980"></a><span class="lineno"> 1980</span>&#160;                -0.02973187f, 0.12294730f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l01981"></a><span class="lineno"> 1981</span>&#160;                -0.01854220f, 0.11281417f, 0.24466537f, -0.18262920f</div><div class="line"><a name="l01982"></a><span class="lineno"> 1982</span>&#160;            },</div><div class="line"><a name="l01983"></a><span class="lineno"> 1983</span>&#160;            qScale, qOffset));</div><div class="line"><a name="l01984"></a><span class="lineno"> 1984</span>&#160;</div><div class="line"><a name="l01985"></a><span class="lineno"> 1985</span>&#160;    <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl&lt;datatype&gt;(</div><div class="line"><a name="l01986"></a><span class="lineno"> 1986</span>&#160;        workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l01987"></a><span class="lineno"> 1987</span>&#160;</div><div class="line"><a name="l01988"></a><span class="lineno"> 1988</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
+<div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="acbc18f78670dccdd94e0cbb04627b9aa"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#acbc18f78670dccdd94e0cbb04627b9aa">&#9670;&nbsp;</a></span>LstmLayerInt16NoCifgWithPeepholeWithProjectionTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int16_t, 2&gt; LstmLayerInt16NoCifgWithPeepholeWithProjectionTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l02021">2021</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l02024"></a><span class="lineno"> 2024</span>&#160;{</div><div class="line"><a name="l02025"></a><span class="lineno"> 2025</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 2.0f;</div><div class="line"><a name="l02026"></a><span class="lineno"> 2026</span>&#160;    <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02027"></a><span class="lineno"> 2027</span>&#160;</div><div class="line"><a name="l02028"></a><span class="lineno"> 2028</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div><div class="line"><a name="l02029"></a><span class="lineno"> 2029</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> constantDatatype = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l02030"></a><span class="lineno"> 2030</span>&#160;</div><div class="line"><a name="l02031"></a><span class="lineno"> 2031</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({ 2, 5 }, datatype);</div><div class="line"><a name="l02032"></a><span class="lineno"> 2032</span>&#160;    boost::multi_array&lt;int16_t, 2&gt; input =</div><div class="line"><a name="l02033"></a><span class="lineno"> 2033</span>&#160;        MakeTensor&lt;int16_t, 2&gt;(</div><div class="line"><a name="l02034"></a><span class="lineno"> 2034</span>&#160;            inputDesc,</div><div class="line"><a name="l02035"></a><span class="lineno"> 2035</span>&#160;            armnnUtils::QuantizedVector&lt;int16_t&gt;(</div><div class="line"><a name="l02036"></a><span class="lineno"> 2036</span>&#160;                {</div><div class="line"><a name="l02037"></a><span class="lineno"> 2037</span>&#160;                    0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f,</div><div class="line"><a name="l02038"></a><span class="lineno"> 2038</span>&#160;                    0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f</div><div class="line"><a name="l02039"></a><span class="lineno"> 2039</span>&#160;                },</div><div class="line"><a name="l02040"></a><span class="lineno"> 2040</span>&#160;                qScale, qOffset));</div><div class="line"><a name="l02041"></a><span class="lineno"> 2041</span>&#160;</div><div class="line"><a name="l02042"></a><span class="lineno"> 2042</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({ 2, 16 }, datatype);</div><div class="line"><a name="l02043"></a><span class="lineno"> 2043</span>&#160;    boost::multi_array&lt;int16_t, 2&gt; expectedOutput =</div><div class="line"><a name="l02044"></a><span class="lineno"> 2044</span>&#160;        MakeTensor&lt;int16_t, 2&gt;(</div><div class="line"><a name="l02045"></a><span class="lineno"> 2045</span>&#160;            outputDesc,</div><div class="line"><a name="l02046"></a><span class="lineno"> 2046</span>&#160;            armnnUtils::QuantizedVector&lt;int16_t&gt;(</div><div class="line"><a name="l02047"></a><span class="lineno"> 2047</span>&#160;                {</div><div class="line"><a name="l02048"></a><span class="lineno"> 2048</span>&#160;                    -0.00396806f,  0.02935200f, -0.00279226f,  0.01599770f,</div><div class="line"><a name="l02049"></a><span class="lineno"> 2049</span>&#160;                    -0.00835576f, -0.02117790f,  0.02835120f, -0.01145970f,</div><div class="line"><a name="l02050"></a><span class="lineno"> 2050</span>&#160;                     0.00907307f, -0.02440040f, -0.01521910f, -0.02590630f,</div><div class="line"><a name="l02051"></a><span class="lineno"> 2051</span>&#160;                     0.00914318f,  0.00415118f,  0.01714700f,  0.01342030f,</div><div class="line"><a name="l02052"></a><span class="lineno"> 2052</span>&#160;                    -0.01386900f,  0.02872680f, -0.00334693f,  0.00733398f,</div><div class="line"><a name="l02053"></a><span class="lineno"> 2053</span>&#160;                    -0.02879260f, -0.01869260f,  0.01936620f, -0.01154370f,</div><div class="line"><a name="l02054"></a><span class="lineno"> 2054</span>&#160;                     0.00422612f, -0.03452320f,  0.00223253f, -0.00957321f,</div><div class="line"><a name="l02055"></a><span class="lineno"> 2055</span>&#160;                     0.02106240f,  0.01333100f,  0.01509540f,  0.02168000f</div><div class="line"><a name="l02056"></a><span class="lineno"> 2056</span>&#160;                },</div><div class="line"><a name="l02057"></a><span class="lineno"> 2057</span>&#160;                qScale, qOffset));</div><div class="line"><a name="l02058"></a><span class="lineno"> 2058</span>&#160;</div><div class="line"><a name="l02059"></a><span class="lineno"> 2059</span>&#160;    <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionTestImpl&lt;datatype&gt;(</div><div class="line"><a name="l02060"></a><span class="lineno"> 2060</span>&#160;        workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02061"></a><span class="lineno"> 2061</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
+<div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a99aca3dec6d8a2eedfc40570fc34ecfb"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a99aca3dec6d8a2eedfc40570fc34ecfb">&#9670;&nbsp;</a></span>LstmLayerInt16WithCifgWithPeepholeNoProjectionTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;int16_t, 2&gt; LstmLayerInt16WithCifgWithPeepholeNoProjectionTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l01990">1990</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.html#l01057">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l01993"></a><span class="lineno"> 1993</span>&#160;{</div><div class="line"><a name="l01994"></a><span class="lineno"> 1994</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l01995"></a><span class="lineno"> 1995</span>&#160;    <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l01996"></a><span class="lineno"> 1996</span>&#160;</div><div class="line"><a name="l01997"></a><span class="lineno"> 1997</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div><div class="line"><a name="l01998"></a><span class="lineno"> 1998</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> constantDatatype = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l01999"></a><span class="lineno"> 1999</span>&#160;</div><div class="line"><a name="l02000"></a><span class="lineno"> 2000</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({ 2, 2 }, datatype);</div><div class="line"><a name="l02001"></a><span class="lineno"> 2001</span>&#160;    boost::multi_array&lt;int16_t, 2&gt; input =</div><div class="line"><a name="l02002"></a><span class="lineno"> 2002</span>&#160;        MakeTensor&lt;int16_t, 2&gt;(</div><div class="line"><a name="l02003"></a><span class="lineno"> 2003</span>&#160;            inputDesc,</div><div class="line"><a name="l02004"></a><span class="lineno"> 2004</span>&#160;            armnnUtils::QuantizedVector&lt;int16_t&gt;({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02005"></a><span class="lineno"> 2005</span>&#160;</div><div class="line"><a name="l02006"></a><span class="lineno"> 2006</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({ 2, 4 }, datatype);</div><div class="line"><a name="l02007"></a><span class="lineno"> 2007</span>&#160;    boost::multi_array&lt;int16_t, 2&gt; expectedOutput =</div><div class="line"><a name="l02008"></a><span class="lineno"> 2008</span>&#160;        MakeTensor&lt;int16_t, 2&gt;(</div><div class="line"><a name="l02009"></a><span class="lineno"> 2009</span>&#160;            outputDesc,</div><div class="line"><a name="l02010"></a><span class="lineno"> 2010</span>&#160;            armnnUtils::QuantizedVector&lt;int16_t&gt;(</div><div class="line"><a name="l02011"></a><span class="lineno"> 2011</span>&#160;                {</div><div class="line"><a name="l02012"></a><span class="lineno"> 2012</span>&#160;                    -0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f,</div><div class="line"><a name="l02013"></a><span class="lineno"> 2013</span>&#160;                    -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f</div><div class="line"><a name="l02014"></a><span class="lineno"> 2014</span>&#160;                },</div><div class="line"><a name="l02015"></a><span class="lineno"> 2015</span>&#160;                qScale, qOffset));</div><div class="line"><a name="l02016"></a><span class="lineno"> 2016</span>&#160;</div><div class="line"><a name="l02017"></a><span class="lineno"> 2017</span>&#160;    <span class="keywordflow">return</span> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl&lt;datatype&gt;(</div><div class="line"><a name="l02018"></a><span class="lineno"> 2018</span>&#160;        workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02019"></a><span class="lineno"> 2019</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
+<div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a03b7b4da7af98cb4fa9bbecb785ce5dd"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a03b7b4da7af98cb4fa9bbecb785ce5dd">&#9670;&nbsp;</a></span>QuantizedLstmTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+      <table class="memname">
+        <tr>
+          <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 2&gt; QuantizedLstmTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+          <td class="paramname"><em>workloadFactory</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+          <td class="paramname"><em>memoryManager</em>&#160;</td>
+        </tr>
+        <tr>
+          <td></td>
+          <td>)</td>
+          <td></td><td></td>
+        </tr>
+      </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_lstm_test_impl_8cpp_source.html#l02096">2096</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.html">LstmTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>.</p>
+<div class="fragment"><div class="line"><a name="l02099"></a><span class="lineno"> 2099</span>&#160;{</div><div class="line"><a name="l02100"></a><span class="lineno"> 2100</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({2, 2}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l02101"></a><span class="lineno"> 2101</span>&#160;    boost::multi_array&lt;uint8_t, 2&gt; input = MakeTensor&lt;uint8_t, 2&gt;(inputDesc, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02102"></a><span class="lineno"> 2102</span>&#160;        {166, 179, 50, 150}));</div><div class="line"><a name="l02103"></a><span class="lineno"> 2103</span>&#160;</div><div class="line"><a name="l02104"></a><span class="lineno"> 2104</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({2, 4}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l02105"></a><span class="lineno"> 2105</span>&#160;    boost::multi_array&lt;uint8_t, 2&gt; expectedOutput = MakeTensor&lt;uint8_t, 2&gt;(outputDesc, std::vector&lt;uint8_t&gt;(</div><div class="line"><a name="l02106"></a><span class="lineno"> 2106</span>&#160;        {140, 151, 146, 112, 136, 156, 142, 112 }));</div><div class="line"><a name="l02107"></a><span class="lineno"> 2107</span>&#160;</div><div class="line"><a name="l02108"></a><span class="lineno"> 2108</span>&#160;    <span class="keywordflow">return</span> QuantizedLstmTestImpl(workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l02109"></a><span class="lineno"> 2109</span>&#160;}</div><div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
+<div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
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