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| author | Colm Donelan <Colm.Donelan@arm.com> | 2020-05-20 16:12:19 +0100 |
|---|---|---|
| committer | Colm Donelan <Colm.Donelan@arm.com> | 2020-05-29 10:28:40 +0100 |
| commit | a983e4699082a0b1ef685bab7354f2ad9cd37a44 (patch) | |
| tree | 4fa94e7ab27053461b481cfbdc1b7c17ca475ac6 /20.05/_lstm_test_impl_8cpp.xhtml | |
| parent | 764d50a3271dea43a6e9273e6dfd98990281c654 (diff) | |
| download | armnn-a983e4699082a0b1ef685bab7354f2ad9cd37a44.tar.gz | |
Updating Doxygen documentation for 20.05 release.
Change-Id: I4d624343ed5fd6ae269c3d53532903084508fd14
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Diffstat (limited to '20.05/_lstm_test_impl_8cpp.xhtml')
| -rw-r--r-- | 20.05/_lstm_test_impl_8cpp.xhtml | 517 |
1 files changed, 517 insertions, 0 deletions
diff --git a/20.05/_lstm_test_impl_8cpp.xhtml b/20.05/_lstm_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..b7d6f1038b --- /dev/null +++ b/20.05/_lstm_test_impl_8cpp.xhtml @@ -0,0 +1,517 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/test/layerTests/LstmTestImpl.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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+<div class="title">LstmTestImpl.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_lstm_test_impl_8hpp_source.xhtml">LstmTestImpl.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>></code><br /> +<code>#include <<a class="el" href="_cpu_tensor_handle_8hpp_source.xhtml">backendsCommon/CpuTensorHandle.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_copy_utils_8hpp_source.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_decoders_8hpp_source.xhtml">reference/workloads/Decoders.hpp</a>></code><br /> +<code>#include <<a class="el" href="_encoders_8hpp_source.xhtml">reference/workloads/Encoders.hpp</a>></code><br /> +<code>#include <<a class="el" href="_lstm_utils_8hpp_source.xhtml">reference/workloads/LstmUtils.hpp</a>></code><br /> +<code>#include <<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br /> +<code>#include <boost/multi_array.hpp></code><br /> +</div> +<p><a href="_lstm_test_impl_8cpp_source.xhtml">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.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#ae5aae49a1e7c7ff2cb80cba1ae421ea6">LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ae5aae49a1e7c7ff2cb80cba1ae421ea6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac53b419b4aa942d611bcc973afdd7716"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#ac53b419b4aa942d611bcc973afdd7716">LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:ac53b419b4aa942d611bcc973afdd7716"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aec44c163ed62de4b5c9bd573cb7f7b3e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#aec44c163ed62de4b5c9bd573cb7f7b3e">LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aec44c163ed62de4b5c9bd573cb7f7b3e"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9901861134e17a59931e45a4137ddb39"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#a9901861134e17a59931e45a4137ddb39">LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNormTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a9901861134e17a59931e45a4137ddb39"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a52b75282b3f67fd2e1063eb93ad28441"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#a52b75282b3f67fd2e1063eb93ad28441">LstmLayerInt16NoCifgNoPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a52b75282b3f67fd2e1063eb93ad28441"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a99aca3dec6d8a2eedfc40570fc34ecfb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#a99aca3dec6d8a2eedfc40570fc34ecfb">LstmLayerInt16WithCifgWithPeepholeNoProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a99aca3dec6d8a2eedfc40570fc34ecfb"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:acbc18f78670dccdd94e0cbb04627b9aa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#acbc18f78670dccdd94e0cbb04627b9aa">LstmLayerInt16NoCifgWithPeepholeWithProjectionTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:acbc18f78670dccdd94e0cbb04627b9aa"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9c20ecb007b2beacc8c4fa05778eb450"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int16_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#a9c20ecb007b2beacc8c4fa05778eb450">LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a9c20ecb007b2beacc8c4fa05778eb450"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a03b7b4da7af98cb4fa9bbecb785ce5dd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#a03b7b4da7af98cb4fa9bbecb785ce5dd">QuantizedLstmTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:a03b7b4da7af98cb4fa9bbecb785ce5dd"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:aa4dd93f5ac71470f87e3acb288a6f6d6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int8_t, 2 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_lstm_test_impl_8cpp.xhtml#aa4dd93f5ac71470f87e3acb288a6f6d6">QLstmTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager)</td></tr> +<tr class="separator:aa4dd93f5ac71470f87e3acb288a6f6d6"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="aec44c163ed62de4b5c9bd573cb7f7b3e"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aec44c163ed62de4b5c9bd573cb7f7b3e">◆ </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.xhtml">LayerTestResult</a><float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02163">2163</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 2}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02168"></a><span class="lineno"> 2168</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02169"></a><span class="lineno"> 2169</span>  {2., 3., 3., 4.}));</div><div class="line"><a name="l02170"></a><span class="lineno"> 2170</span> </div><div class="line"><a name="l02171"></a><span class="lineno"> 2171</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02172"></a><span class="lineno"> 2172</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02173"></a><span class="lineno"> 2173</span>  {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l02174"></a><span class="lineno"> 2174</span>  -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}));</div><div class="line"><a name="l02175"></a><span class="lineno"> 2175</span> </div><div class="line"><a name="l02176"></a><span class="lineno"> 2176</span>  <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02177"></a><span class="lineno"> 2177</span>  workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l02178"></a><span class="lineno"> 2178</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac53b419b4aa942d611bcc973afdd7716"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac53b419b4aa942d611bcc973afdd7716">◆ </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.xhtml">LayerTestResult</a><float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02141">2141</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({ 2, 5 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02146"></a><span class="lineno"> 2146</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02147"></a><span class="lineno"> 2147</span>  {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f,</div><div class="line"><a name="l02148"></a><span class="lineno"> 2148</span>  0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}));</div><div class="line"><a name="l02149"></a><span class="lineno"> 2149</span> </div><div class="line"><a name="l02150"></a><span class="lineno"> 2150</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({ 2, 16 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02151"></a><span class="lineno"> 2151</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02152"></a><span class="lineno"> 2152</span>  {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f,</div><div class="line"><a name="l02153"></a><span class="lineno"> 2153</span>  -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f,</div><div class="line"><a name="l02154"></a><span class="lineno"> 2154</span>  -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f,</div><div class="line"><a name="l02155"></a><span class="lineno"> 2155</span>  0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f,</div><div class="line"><a name="l02156"></a><span class="lineno"> 2156</span>  -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f,</div><div class="line"><a name="l02157"></a><span class="lineno"> 2157</span>  0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f,</div><div class="line"><a name="l02158"></a><span class="lineno"> 2158</span>  0.02168f}));</div><div class="line"><a name="l02159"></a><span class="lineno"> 2159</span>  <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02160"></a><span class="lineno"> 2160</span>  workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l02161"></a><span class="lineno"> 2161</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9901861134e17a59931e45a4137ddb39"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9901861134e17a59931e45a4137ddb39">◆ </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.xhtml">LayerTestResult</a><float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionWithLayerNormTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02180">2180</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({ 2, 5 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02185"></a><span class="lineno"> 2185</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02186"></a><span class="lineno"> 2186</span>  {0.7f, 0.8f, 0.1f, 0.2f, 0.3f, <span class="comment">//batch 0</span></div><div class="line"><a name="l02187"></a><span class="lineno"> 2187</span>  0.3f, 0.2f, 0.9f, 0.8f, 0.1f})); <span class="comment">//batch 1</span></div><div class="line"><a name="l02188"></a><span class="lineno"> 2188</span> </div><div class="line"><a name="l02189"></a><span class="lineno"> 2189</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({ 2, 3 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02190"></a><span class="lineno"> 2190</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02191"></a><span class="lineno"> 2191</span>  { 0.0244077f, 0.128027f, -0.00170918f, <span class="comment">//batch 0</span></div><div class="line"><a name="l02192"></a><span class="lineno"> 2192</span>  -0.00692428f, 0.0848741f, 0.063445f})); <span class="comment">//batch 1</span></div><div class="line"><a name="l02193"></a><span class="lineno"> 2193</span>  <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionWithLayerNormTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02194"></a><span class="lineno"> 2194</span>  workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l02195"></a><span class="lineno"> 2195</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ae5aae49a1e7c7ff2cb80cba1ae421ea6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ae5aae49a1e7c7ff2cb80cba1ae421ea6">◆ </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.xhtml">LayerTestResult</a><float, 2> LstmLayerFloat32WithCifgWithPeepholeNoProjectionTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02125">2125</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02128"></a><span class="lineno"> 2128</span> {</div><div class="line"><a name="l02129"></a><span class="lineno"> 2129</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({ 2, 2 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02130"></a><span class="lineno"> 2130</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02131"></a><span class="lineno"> 2131</span>  { 2., 3., 3., 4. }));</div><div class="line"><a name="l02132"></a><span class="lineno"> 2132</span> </div><div class="line"><a name="l02133"></a><span class="lineno"> 2133</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({ 2, 4 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l02134"></a><span class="lineno"> 2134</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02135"></a><span class="lineno"> 2135</span>  {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f,</div><div class="line"><a name="l02136"></a><span class="lineno"> 2136</span>  -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f}));</div><div class="line"><a name="l02137"></a><span class="lineno"> 2137</span>  <span class="keywordflow">return</span> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02138"></a><span class="lineno"> 2138</span>  workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l02139"></a><span class="lineno"> 2139</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9c20ecb007b2beacc8c4fa05778eb450"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9c20ecb007b2beacc8c4fa05778eb450">◆ </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.xhtml">LayerTestResult</a><int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionInt16ConstantTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02300">2300</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02303"></a><span class="lineno"> 2303</span> {</div><div class="line"><a name="l02304"></a><span class="lineno"> 2304</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l02305"></a><span class="lineno"> 2305</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02306"></a><span class="lineno"> 2306</span> </div><div class="line"><a name="l02307"></a><span class="lineno"> 2307</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>; <span class="comment">// datatype & constants set to QSymm16</span></div><div class="line"><a name="l02308"></a><span class="lineno"> 2308</span> </div><div class="line"><a name="l02309"></a><span class="lineno"> 2309</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 2}, datatype);</div><div class="line"><a name="l02310"></a><span class="lineno"> 2310</span>  boost::multi_array<int16_t , 2> input =</div><div class="line"><a name="l02311"></a><span class="lineno"> 2311</span>  MakeTensor<int16_t , 2>(inputDesc,</div><div class="line"><a name="l02312"></a><span class="lineno"> 2312</span>  armnnUtils::QuantizedVector<int16_t>({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02313"></a><span class="lineno"> 2313</span> </div><div class="line"><a name="l02314"></a><span class="lineno"> 2314</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, datatype);</div><div class="line"><a name="l02315"></a><span class="lineno"> 2315</span>  boost::multi_array<int16_t, 2> expectedOutput =</div><div class="line"><a name="l02316"></a><span class="lineno"> 2316</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02317"></a><span class="lineno"> 2317</span>  outputDesc,</div><div class="line"><a name="l02318"></a><span class="lineno"> 2318</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02319"></a><span class="lineno"> 2319</span>  {</div><div class="line"><a name="l02320"></a><span class="lineno"> 2320</span>  -0.02973187f, 0.12294730f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l02321"></a><span class="lineno"> 2321</span>  -0.01854220f, 0.11281417f, 0.24466537f, -0.18262920f</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>  qScale, qOffset));</div><div class="line"><a name="l02324"></a><span class="lineno"> 2324</span> </div><div class="line"><a name="l02325"></a><span class="lineno"> 2325</span>  <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>(</div><div class="line"><a name="l02326"></a><span class="lineno"> 2326</span>  workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, datatype);</div><div class="line"><a name="l02327"></a><span class="lineno"> 2327</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a52b75282b3f67fd2e1063eb93ad28441"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a52b75282b3f67fd2e1063eb93ad28441">◆ </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.xhtml">LayerTestResult</a><int16_t, 2> LstmLayerInt16NoCifgNoPeepholeNoProjectionTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02197">2197</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02200"></a><span class="lineno"> 2200</span> {</div><div class="line"><a name="l02201"></a><span class="lineno"> 2201</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l02202"></a><span class="lineno"> 2202</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02203"></a><span class="lineno"> 2203</span> </div><div class="line"><a name="l02204"></a><span class="lineno"> 2204</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div><div class="line"><a name="l02205"></a><span class="lineno"> 2205</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> constantDatatype = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l02206"></a><span class="lineno"> 2206</span> </div><div class="line"><a name="l02207"></a><span class="lineno"> 2207</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 2}, datatype);</div><div class="line"><a name="l02208"></a><span class="lineno"> 2208</span>  boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(</div><div class="line"><a name="l02209"></a><span class="lineno"> 2209</span>  inputDesc,</div><div class="line"><a name="l02210"></a><span class="lineno"> 2210</span>  armnnUtils::QuantizedVector<int16_t>({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02211"></a><span class="lineno"> 2211</span> </div><div class="line"><a name="l02212"></a><span class="lineno"> 2212</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, datatype);</div><div class="line"><a name="l02213"></a><span class="lineno"> 2213</span>  boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02214"></a><span class="lineno"> 2214</span>  outputDesc,</div><div class="line"><a name="l02215"></a><span class="lineno"> 2215</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02216"></a><span class="lineno"> 2216</span>  {</div><div class="line"><a name="l02217"></a><span class="lineno"> 2217</span>  -0.02973187f, 0.12294730f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l02218"></a><span class="lineno"> 2218</span>  -0.01854220f, 0.11281417f, 0.24466537f, -0.18262920f</div><div class="line"><a name="l02219"></a><span class="lineno"> 2219</span>  },</div><div class="line"><a name="l02220"></a><span class="lineno"> 2220</span>  qScale, qOffset));</div><div class="line"><a name="l02221"></a><span class="lineno"> 2221</span> </div><div class="line"><a name="l02222"></a><span class="lineno"> 2222</span>  <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>(</div><div class="line"><a name="l02223"></a><span class="lineno"> 2223</span>  workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02224"></a><span class="lineno"> 2224</span> </div><div class="line"><a name="l02225"></a><span class="lineno"> 2225</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="acbc18f78670dccdd94e0cbb04627b9aa"></a> +<h2 class="memtitle"><span class="permalink"><a href="#acbc18f78670dccdd94e0cbb04627b9aa">◆ </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.xhtml">LayerTestResult</a><int16_t, 2> LstmLayerInt16NoCifgWithPeepholeWithProjectionTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02258">2258</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02261"></a><span class="lineno"> 2261</span> {</div><div class="line"><a name="l02262"></a><span class="lineno"> 2262</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 2.0f;</div><div class="line"><a name="l02263"></a><span class="lineno"> 2263</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02264"></a><span class="lineno"> 2264</span> </div><div class="line"><a name="l02265"></a><span class="lineno"> 2265</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div><div class="line"><a name="l02266"></a><span class="lineno"> 2266</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> constantDatatype = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l02267"></a><span class="lineno"> 2267</span> </div><div class="line"><a name="l02268"></a><span class="lineno"> 2268</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({ 2, 5 }, datatype);</div><div class="line"><a name="l02269"></a><span class="lineno"> 2269</span>  boost::multi_array<int16_t, 2> input =</div><div class="line"><a name="l02270"></a><span class="lineno"> 2270</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02271"></a><span class="lineno"> 2271</span>  inputDesc,</div><div class="line"><a name="l02272"></a><span class="lineno"> 2272</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02273"></a><span class="lineno"> 2273</span>  {</div><div class="line"><a name="l02274"></a><span class="lineno"> 2274</span>  0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f,</div><div class="line"><a name="l02275"></a><span class="lineno"> 2275</span>  0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f</div><div class="line"><a name="l02276"></a><span class="lineno"> 2276</span>  },</div><div class="line"><a name="l02277"></a><span class="lineno"> 2277</span>  qScale, qOffset));</div><div class="line"><a name="l02278"></a><span class="lineno"> 2278</span> </div><div class="line"><a name="l02279"></a><span class="lineno"> 2279</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({ 2, 16 }, datatype);</div><div class="line"><a name="l02280"></a><span class="lineno"> 2280</span>  boost::multi_array<int16_t, 2> expectedOutput =</div><div class="line"><a name="l02281"></a><span class="lineno"> 2281</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02282"></a><span class="lineno"> 2282</span>  outputDesc,</div><div class="line"><a name="l02283"></a><span class="lineno"> 2283</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02284"></a><span class="lineno"> 2284</span>  {</div><div class="line"><a name="l02285"></a><span class="lineno"> 2285</span>  -0.00396806f, 0.02935200f, -0.00279226f, 0.01599770f,</div><div class="line"><a name="l02286"></a><span class="lineno"> 2286</span>  -0.00835576f, -0.02117790f, 0.02835120f, -0.01145970f,</div><div class="line"><a name="l02287"></a><span class="lineno"> 2287</span>  0.00907307f, -0.02440040f, -0.01521910f, -0.02590630f,</div><div class="line"><a name="l02288"></a><span class="lineno"> 2288</span>  0.00914318f, 0.00415118f, 0.01714700f, 0.01342030f,</div><div class="line"><a name="l02289"></a><span class="lineno"> 2289</span>  -0.01386900f, 0.02872680f, -0.00334693f, 0.00733398f,</div><div class="line"><a name="l02290"></a><span class="lineno"> 2290</span>  -0.02879260f, -0.01869260f, 0.01936620f, -0.01154370f,</div><div class="line"><a name="l02291"></a><span class="lineno"> 2291</span>  0.00422612f, -0.03452320f, 0.00223253f, -0.00957321f,</div><div class="line"><a name="l02292"></a><span class="lineno"> 2292</span>  0.02106240f, 0.01333100f, 0.01509540f, 0.02168000f</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>  qScale, qOffset));</div><div class="line"><a name="l02295"></a><span class="lineno"> 2295</span> </div><div class="line"><a name="l02296"></a><span class="lineno"> 2296</span>  <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<datatype>(</div><div class="line"><a name="l02297"></a><span class="lineno"> 2297</span>  workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02298"></a><span class="lineno"> 2298</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a99aca3dec6d8a2eedfc40570fc34ecfb"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a99aca3dec6d8a2eedfc40570fc34ecfb">◆ </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.xhtml">LayerTestResult</a><int16_t, 2> LstmLayerInt16WithCifgWithPeepholeNoProjectionTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02227">2227</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02230"></a><span class="lineno"> 2230</span> {</div><div class="line"><a name="l02231"></a><span class="lineno"> 2231</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l02232"></a><span class="lineno"> 2232</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02233"></a><span class="lineno"> 2233</span> </div><div class="line"><a name="l02234"></a><span class="lineno"> 2234</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> datatype = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div><div class="line"><a name="l02235"></a><span class="lineno"> 2235</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> constantDatatype = <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div><div class="line"><a name="l02236"></a><span class="lineno"> 2236</span> </div><div class="line"><a name="l02237"></a><span class="lineno"> 2237</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({ 2, 2 }, datatype);</div><div class="line"><a name="l02238"></a><span class="lineno"> 2238</span>  boost::multi_array<int16_t, 2> input =</div><div class="line"><a name="l02239"></a><span class="lineno"> 2239</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02240"></a><span class="lineno"> 2240</span>  inputDesc,</div><div class="line"><a name="l02241"></a><span class="lineno"> 2241</span>  armnnUtils::QuantizedVector<int16_t>({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02242"></a><span class="lineno"> 2242</span> </div><div class="line"><a name="l02243"></a><span class="lineno"> 2243</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({ 2, 4 }, datatype);</div><div class="line"><a name="l02244"></a><span class="lineno"> 2244</span>  boost::multi_array<int16_t, 2> expectedOutput =</div><div class="line"><a name="l02245"></a><span class="lineno"> 2245</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02246"></a><span class="lineno"> 2246</span>  outputDesc,</div><div class="line"><a name="l02247"></a><span class="lineno"> 2247</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02248"></a><span class="lineno"> 2248</span>  {</div><div class="line"><a name="l02249"></a><span class="lineno"> 2249</span>  -0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f,</div><div class="line"><a name="l02250"></a><span class="lineno"> 2250</span>  -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f</div><div class="line"><a name="l02251"></a><span class="lineno"> 2251</span>  },</div><div class="line"><a name="l02252"></a><span class="lineno"> 2252</span>  qScale, qOffset));</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> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<datatype>(</div><div class="line"><a name="l02255"></a><span class="lineno"> 2255</span>  workloadFactory, memoryManager, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02256"></a><span class="lineno"> 2256</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="aa4dd93f5ac71470f87e3acb288a6f6d6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#aa4dd93f5ac71470f87e3acb288a6f6d6">◆ </a></span>QLstmTest()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><int8_t, 2> QLstmTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02349">2349</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01236">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02352"></a><span class="lineno"> 2352</span> {</div><div class="line"><a name="l02353"></a><span class="lineno"> 2353</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 5}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>);</div><div class="line"><a name="l02354"></a><span class="lineno"> 2354</span>  boost::multi_array<int8_t, 2> input = MakeTensor<int8_t, 2>(inputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02355"></a><span class="lineno"> 2355</span>  {90, 102, 13, 26, 38, 102, 13, 26, 51, 64}));</div><div class="line"><a name="l02356"></a><span class="lineno"> 2356</span> </div><div class="line"><a name="l02357"></a><span class="lineno"> 2357</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>);</div><div class="line"><a name="l02358"></a><span class="lineno"> 2358</span>  boost::multi_array<int8_t, 2> expectedOutput = MakeTensor<int8_t, 2>(outputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02359"></a><span class="lineno"> 2359</span>  {-15, 21, 14, 20, -15, 15, 5, 27}));</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> QLstmTestImpl(workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l02362"></a><span class="lineno"> 2362</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a03b7b4da7af98cb4fa9bbecb785ce5dd"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a03b7b4da7af98cb4fa9bbecb785ce5dd">◆ </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.xhtml">LayerTestResult</a><uint8_t, 2> QuantizedLstmTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td> + <td class="paramname"><em>memoryManager</em> </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.xhtml#l02333">2333</a> of file <a class="el" href="_lstm_test_impl_8cpp_source.xhtml">LstmTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>.</p> +<div class="fragment"><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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 2}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l02338"></a><span class="lineno"> 2338</span>  boost::multi_array<uint8_t, 2> input = MakeTensor<uint8_t, 2>(inputDesc, std::vector<uint8_t>(</div><div class="line"><a name="l02339"></a><span class="lineno"> 2339</span>  {166, 179, 50, 150}));</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l02342"></a><span class="lineno"> 2342</span>  boost::multi_array<uint8_t, 2> expectedOutput = MakeTensor<uint8_t, 2>(outputDesc, std::vector<uint8_t>(</div><div class="line"><a name="l02343"></a><span class="lineno"> 2343</span>  {140, 151, 146, 112, 136, 156, 142, 112 }));</div><div class="line"><a name="l02344"></a><span class="lineno"> 2344</span> </div><div class="line"><a name="l02345"></a><span class="lineno"> 2345</span>  <span class="keywordflow">return</span> QuantizedLstmTestImpl(workloadFactory, memoryManager, input, expectedOutput);</div><div class="line"><a name="l02346"></a><span class="lineno"> 2346</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_lstm_test_impl_8cpp.xhtml">LstmTestImpl.cpp</a></li> + <li class="footer">Generated on Fri May 29 2020 10:20:48 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |