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diff --git a/21.02/_lstm_test_impl_8cpp.xhtml b/21.02/_lstm_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..731f7948c8 --- /dev/null +++ b/21.02/_lstm_test_impl_8cpp.xhtml @@ -0,0 +1,666 @@ +<!-- 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="_numeric_cast_8hpp_source.xhtml">armnn/utility/NumericCast.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:a84253a0be59acfd80d588141c07d4170"><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#a84253a0be59acfd80d588141c07d4170">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a84253a0be59acfd80d588141c07d4170"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8878c1a79890f404aac4c474204756c1"><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#a8878c1a79890f404aac4c474204756c1">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a8878c1a79890f404aac4c474204756c1"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a347d60d5d81c1c5dfdae562b998503f9"><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#a347d60d5d81c1c5dfdae562b998503f9">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a347d60d5d81c1c5dfdae562b998503f9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a64d9b9a6cd29cd7a7f4bbf514fde01d5"><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#a64d9b9a6cd29cd7a7f4bbf514fde01d5">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a64d9b9a6cd29cd7a7f4bbf514fde01d5"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab1cbad4ed077c4b6279b28af3449b452"><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#ab1cbad4ed077c4b6279b28af3449b452">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:ab1cbad4ed077c4b6279b28af3449b452"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a0c1fe44fe410e2ef4103d9a724234fc3"><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" 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href="_lstm_test_impl_8cpp.xhtml#af125f50b8c17b270fd1a9208c3391722">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:af125f50b8c17b270fd1a9208c3391722"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9430b95c437de781166385d51ced7bd0"><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#a9430b95c437de781166385d51ced7bd0">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a9430b95c437de781166385d51ced7bd0"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8d9469ec08347dd451d782f102a6c8fa"><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#a8d9469ec08347dd451d782f102a6c8fa">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a8d9469ec08347dd451d782f102a6c8fa"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3ca648bd28b5f0b835868282409b3458"><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#a3ca648bd28b5f0b835868282409b3458">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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a3ca648bd28b5f0b835868282409b3458"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a95ad313188cccfdd052c4620b4dc0743"><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#a95ad313188cccfdd052c4620b4dc0743">QLstmTest1</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a95ad313188cccfdd052c4620b4dc0743"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a017dcda811d5b5dc185f8c1d2e9b29f3"><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#a017dcda811d5b5dc185f8c1d2e9b29f3">QLstmTest2</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, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a017dcda811d5b5dc185f8c1d2e9b29f3"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a347d60d5d81c1c5dfdae562b998503f9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a347d60d5d81c1c5dfdae562b998503f9">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02701">2701</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02705"></a><span class="lineno"> 2705</span> {</div><div class="line"><a name="l02706"></a><span class="lineno"> 2706</span>  <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="l02707"></a><span class="lineno"> 2707</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02708"></a><span class="lineno"> 2708</span>  {2., 3., 3., 4.}));</div><div class="line"><a name="l02709"></a><span class="lineno"> 2709</span> </div><div class="line"><a name="l02710"></a><span class="lineno"> 2710</span>  <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="l02711"></a><span class="lineno"> 2711</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02712"></a><span class="lineno"> 2712</span>  {{-0.02973187f, 0.1229473f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l02713"></a><span class="lineno"> 2713</span>  -0.0185422f, 0.11281417f, 0.24466537f, -0.1826292f}}));</div><div class="line"><a name="l02714"></a><span class="lineno"> 2714</span> </div><div class="line"><a name="l02715"></a><span class="lineno"> 2715</span>  <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02716"></a><span class="lineno"> 2716</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02717"></a><span class="lineno"> 2717</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#l00152">Tensor.hpp:152</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="a8878c1a79890f404aac4c474204756c1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8878c1a79890f404aac4c474204756c1">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02678">2678</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02682"></a><span class="lineno"> 2682</span> {</div><div class="line"><a name="l02683"></a><span class="lineno"> 2683</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="l02684"></a><span class="lineno"> 2684</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02685"></a><span class="lineno"> 2685</span>  {0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f,</div><div class="line"><a name="l02686"></a><span class="lineno"> 2686</span>  0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f}));</div><div class="line"><a name="l02687"></a><span class="lineno"> 2687</span> </div><div class="line"><a name="l02688"></a><span class="lineno"> 2688</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="l02689"></a><span class="lineno"> 2689</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02690"></a><span class="lineno"> 2690</span>  {-0.00396806f, 0.029352f, -0.00279226f, 0.0159977f, -0.00835576f,</div><div class="line"><a name="l02691"></a><span class="lineno"> 2691</span>  -0.0211779f, 0.0283512f, -0.0114597f, 0.00907307f, -0.0244004f,</div><div class="line"><a name="l02692"></a><span class="lineno"> 2692</span>  -0.0152191f, -0.0259063f, 0.00914318f, 0.00415118f, 0.017147f,</div><div class="line"><a name="l02693"></a><span class="lineno"> 2693</span>  0.0134203f, -0.013869f, 0.0287268f, -0.00334693f, 0.00733398f, -0.0287926f,</div><div class="line"><a name="l02694"></a><span class="lineno"> 2694</span>  -0.0186926f, 0.0193662f, -0.0115437f, 0.00422612f, -0.0345232f,</div><div class="line"><a name="l02695"></a><span class="lineno"> 2695</span>  0.00223253f, -0.00957321f, 0.0210624f, 0.013331f, 0.0150954f,</div><div class="line"><a name="l02696"></a><span class="lineno"> 2696</span>  0.02168f}));</div><div class="line"><a name="l02697"></a><span class="lineno"> 2697</span>  <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02698"></a><span class="lineno"> 2698</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02699"></a><span class="lineno"> 2699</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#l00152">Tensor.hpp:152</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="a64d9b9a6cd29cd7a7f4bbf514fde01d5"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a64d9b9a6cd29cd7a7f4bbf514fde01d5">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02719">2719</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02723"></a><span class="lineno"> 2723</span> {</div><div class="line"><a name="l02724"></a><span class="lineno"> 2724</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="l02725"></a><span class="lineno"> 2725</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02726"></a><span class="lineno"> 2726</span>  {0.7f, 0.8f, 0.1f, 0.2f, 0.3f, <span class="comment">//batch 0</span></div><div class="line"><a name="l02727"></a><span class="lineno"> 2727</span>  0.3f, 0.2f, 0.9f, 0.8f, 0.1f})); <span class="comment">//batch 1</span></div><div class="line"><a name="l02728"></a><span class="lineno"> 2728</span> </div><div class="line"><a name="l02729"></a><span class="lineno"> 2729</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="l02730"></a><span class="lineno"> 2730</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02731"></a><span class="lineno"> 2731</span>  { 0.0244077f, 0.128027f, -0.00170918f, <span class="comment">//batch 0</span></div><div class="line"><a name="l02732"></a><span class="lineno"> 2732</span>  -0.00692428f, 0.0848741f, 0.063445f})); <span class="comment">//batch 1</span></div><div class="line"><a name="l02733"></a><span class="lineno"> 2733</span>  <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionWithLayerNormTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02734"></a><span class="lineno"> 2734</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02735"></a><span class="lineno"> 2735</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#l00152">Tensor.hpp:152</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="a84253a0be59acfd80d588141c07d4170"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a84253a0be59acfd80d588141c07d4170">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02661">2661</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02665"></a><span class="lineno"> 2665</span> {</div><div class="line"><a name="l02666"></a><span class="lineno"> 2666</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="l02667"></a><span class="lineno"> 2667</span>  boost::multi_array<float, 2> input = MakeTensor<float, 2>(inputDesc, std::vector<float>(</div><div class="line"><a name="l02668"></a><span class="lineno"> 2668</span>  { 2., 3., 3., 4. }));</div><div class="line"><a name="l02669"></a><span class="lineno"> 2669</span> </div><div class="line"><a name="l02670"></a><span class="lineno"> 2670</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="l02671"></a><span class="lineno"> 2671</span>  boost::multi_array<float, 2> expectedOutput = MakeTensor<float, 2>(outputDesc, std::vector<float>(</div><div class="line"><a name="l02672"></a><span class="lineno"> 2672</span>  {-0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f,</div><div class="line"><a name="l02673"></a><span class="lineno"> 2673</span>  -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f}));</div><div class="line"><a name="l02674"></a><span class="lineno"> 2674</span>  <span class="keywordflow">return</span> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<armnn::DataType::Float32>(</div><div class="line"><a name="l02675"></a><span class="lineno"> 2675</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02676"></a><span class="lineno"> 2676</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#l00152">Tensor.hpp:152</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="a9430b95c437de781166385d51ced7bd0"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9430b95c437de781166385d51ced7bd0">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02843">2843</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02847"></a><span class="lineno"> 2847</span> {</div><div class="line"><a name="l02848"></a><span class="lineno"> 2848</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l02849"></a><span class="lineno"> 2849</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02850"></a><span class="lineno"> 2850</span> </div><div class="line"><a name="l02851"></a><span class="lineno"> 2851</span>  <span class="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="l02852"></a><span class="lineno"> 2852</span> </div><div class="line"><a name="l02853"></a><span class="lineno"> 2853</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 2}, datatype);</div><div class="line"><a name="l02854"></a><span class="lineno"> 2854</span>  boost::multi_array<int16_t , 2> input =</div><div class="line"><a name="l02855"></a><span class="lineno"> 2855</span>  MakeTensor<int16_t , 2>(inputDesc,</div><div class="line"><a name="l02856"></a><span class="lineno"> 2856</span>  armnnUtils::QuantizedVector<int16_t>({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02857"></a><span class="lineno"> 2857</span> </div><div class="line"><a name="l02858"></a><span class="lineno"> 2858</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, datatype);</div><div class="line"><a name="l02859"></a><span class="lineno"> 2859</span>  boost::multi_array<int16_t, 2> expectedOutput =</div><div class="line"><a name="l02860"></a><span class="lineno"> 2860</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02861"></a><span class="lineno"> 2861</span>  outputDesc,</div><div class="line"><a name="l02862"></a><span class="lineno"> 2862</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02863"></a><span class="lineno"> 2863</span>  {</div><div class="line"><a name="l02864"></a><span class="lineno"> 2864</span>  -0.02973187f, 0.12294730f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l02865"></a><span class="lineno"> 2865</span>  -0.01854220f, 0.11281417f, 0.24466537f, -0.18262920f</div><div class="line"><a name="l02866"></a><span class="lineno"> 2866</span>  },</div><div class="line"><a name="l02867"></a><span class="lineno"> 2867</span>  qScale, qOffset));</div><div class="line"><a name="l02868"></a><span class="lineno"> 2868</span> </div><div class="line"><a name="l02869"></a><span class="lineno"> 2869</span>  <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>(</div><div class="line"><a name="l02870"></a><span class="lineno"> 2870</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput, qScale, qOffset, datatype);</div><div class="line"><a name="l02871"></a><span class="lineno"> 2871</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#l00152">Tensor.hpp:152</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="ab1cbad4ed077c4b6279b28af3449b452"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab1cbad4ed077c4b6279b28af3449b452">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02737">2737</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02741"></a><span class="lineno"> 2741</span> {</div><div class="line"><a name="l02742"></a><span class="lineno"> 2742</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l02743"></a><span class="lineno"> 2743</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02744"></a><span class="lineno"> 2744</span> </div><div class="line"><a name="l02745"></a><span class="lineno"> 2745</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="l02746"></a><span class="lineno"> 2746</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="l02747"></a><span class="lineno"> 2747</span> </div><div class="line"><a name="l02748"></a><span class="lineno"> 2748</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({2, 2}, datatype);</div><div class="line"><a name="l02749"></a><span class="lineno"> 2749</span>  boost::multi_array<int16_t , 2> input = MakeTensor<int16_t , 2>(</div><div class="line"><a name="l02750"></a><span class="lineno"> 2750</span>  inputDesc,</div><div class="line"><a name="l02751"></a><span class="lineno"> 2751</span>  armnnUtils::QuantizedVector<int16_t>({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02752"></a><span class="lineno"> 2752</span> </div><div class="line"><a name="l02753"></a><span class="lineno"> 2753</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 4}, datatype);</div><div class="line"><a name="l02754"></a><span class="lineno"> 2754</span>  boost::multi_array<int16_t, 2> expectedOutput = MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02755"></a><span class="lineno"> 2755</span>  outputDesc,</div><div class="line"><a name="l02756"></a><span class="lineno"> 2756</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02757"></a><span class="lineno"> 2757</span>  {</div><div class="line"><a name="l02758"></a><span class="lineno"> 2758</span>  -0.02973187f, 0.12294730f, 0.20885126f, -0.15358765f,</div><div class="line"><a name="l02759"></a><span class="lineno"> 2759</span>  -0.01854220f, 0.11281417f, 0.24466537f, -0.18262920f</div><div class="line"><a name="l02760"></a><span class="lineno"> 2760</span>  },</div><div class="line"><a name="l02761"></a><span class="lineno"> 2761</span>  qScale, qOffset));</div><div class="line"><a name="l02762"></a><span class="lineno"> 2762</span> </div><div class="line"><a name="l02763"></a><span class="lineno"> 2763</span>  <span class="keywordflow">return</span> LstmNoCifgNoPeepholeNoProjectionTestImpl<datatype>(</div><div class="line"><a name="l02764"></a><span class="lineno"> 2764</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02765"></a><span class="lineno"> 2765</span> </div><div class="line"><a name="l02766"></a><span class="lineno"> 2766</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#l00152">Tensor.hpp:152</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="af125f50b8c17b270fd1a9208c3391722"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af125f50b8c17b270fd1a9208c3391722">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02800">2800</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02804"></a><span class="lineno"> 2804</span> {</div><div class="line"><a name="l02805"></a><span class="lineno"> 2805</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 2.0f;</div><div class="line"><a name="l02806"></a><span class="lineno"> 2806</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02807"></a><span class="lineno"> 2807</span> </div><div class="line"><a name="l02808"></a><span class="lineno"> 2808</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="l02809"></a><span class="lineno"> 2809</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="l02810"></a><span class="lineno"> 2810</span> </div><div class="line"><a name="l02811"></a><span class="lineno"> 2811</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({ 2, 5 }, datatype);</div><div class="line"><a name="l02812"></a><span class="lineno"> 2812</span>  boost::multi_array<int16_t, 2> input =</div><div class="line"><a name="l02813"></a><span class="lineno"> 2813</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02814"></a><span class="lineno"> 2814</span>  inputDesc,</div><div class="line"><a name="l02815"></a><span class="lineno"> 2815</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02816"></a><span class="lineno"> 2816</span>  {</div><div class="line"><a name="l02817"></a><span class="lineno"> 2817</span>  0.787926f, 0.151646f, 0.071352f, 0.118426f, 0.458058f,</div><div class="line"><a name="l02818"></a><span class="lineno"> 2818</span>  0.295743f, 0.544053f, 0.690064f, 0.858138f, 0.497181f</div><div class="line"><a name="l02819"></a><span class="lineno"> 2819</span>  },</div><div class="line"><a name="l02820"></a><span class="lineno"> 2820</span>  qScale, qOffset));</div><div class="line"><a name="l02821"></a><span class="lineno"> 2821</span> </div><div class="line"><a name="l02822"></a><span class="lineno"> 2822</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({ 2, 16 }, datatype);</div><div class="line"><a name="l02823"></a><span class="lineno"> 2823</span>  boost::multi_array<int16_t, 2> expectedOutput =</div><div class="line"><a name="l02824"></a><span class="lineno"> 2824</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02825"></a><span class="lineno"> 2825</span>  outputDesc,</div><div class="line"><a name="l02826"></a><span class="lineno"> 2826</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02827"></a><span class="lineno"> 2827</span>  {</div><div class="line"><a name="l02828"></a><span class="lineno"> 2828</span>  -0.00396806f, 0.02935200f, -0.00279226f, 0.01599770f,</div><div class="line"><a name="l02829"></a><span class="lineno"> 2829</span>  -0.00835576f, -0.02117790f, 0.02835120f, -0.01145970f,</div><div class="line"><a name="l02830"></a><span class="lineno"> 2830</span>  0.00907307f, -0.02440040f, -0.01521910f, -0.02590630f,</div><div class="line"><a name="l02831"></a><span class="lineno"> 2831</span>  0.00914318f, 0.00415118f, 0.01714700f, 0.01342030f,</div><div class="line"><a name="l02832"></a><span class="lineno"> 2832</span>  -0.01386900f, 0.02872680f, -0.00334693f, 0.00733398f,</div><div class="line"><a name="l02833"></a><span class="lineno"> 2833</span>  -0.02879260f, -0.01869260f, 0.01936620f, -0.01154370f,</div><div class="line"><a name="l02834"></a><span class="lineno"> 2834</span>  0.00422612f, -0.03452320f, 0.00223253f, -0.00957321f,</div><div class="line"><a name="l02835"></a><span class="lineno"> 2835</span>  0.02106240f, 0.01333100f, 0.01509540f, 0.02168000f</div><div class="line"><a name="l02836"></a><span class="lineno"> 2836</span>  },</div><div class="line"><a name="l02837"></a><span class="lineno"> 2837</span>  qScale, qOffset));</div><div class="line"><a name="l02838"></a><span class="lineno"> 2838</span> </div><div class="line"><a name="l02839"></a><span class="lineno"> 2839</span>  <span class="keywordflow">return</span> LstmLayerNoCifgWithPeepholeWithProjectionTestImpl<datatype>(</div><div class="line"><a name="l02840"></a><span class="lineno"> 2840</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02841"></a><span class="lineno"> 2841</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#l00152">Tensor.hpp:152</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="a0c1fe44fe410e2ef4103d9a724234fc3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a0c1fe44fe410e2ef4103d9a724234fc3">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02768">2768</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02772"></a><span class="lineno"> 2772</span> {</div><div class="line"><a name="l02773"></a><span class="lineno"> 2773</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f;</div><div class="line"><a name="l02774"></a><span class="lineno"> 2774</span>  <span class="keyword">const</span> int32_t qOffset = 0;</div><div class="line"><a name="l02775"></a><span class="lineno"> 2775</span> </div><div class="line"><a name="l02776"></a><span class="lineno"> 2776</span>  <span class="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="l02777"></a><span class="lineno"> 2777</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="l02778"></a><span class="lineno"> 2778</span> </div><div class="line"><a name="l02779"></a><span class="lineno"> 2779</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputDesc({ 2, 2 }, datatype);</div><div class="line"><a name="l02780"></a><span class="lineno"> 2780</span>  boost::multi_array<int16_t, 2> input =</div><div class="line"><a name="l02781"></a><span class="lineno"> 2781</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02782"></a><span class="lineno"> 2782</span>  inputDesc,</div><div class="line"><a name="l02783"></a><span class="lineno"> 2783</span>  armnnUtils::QuantizedVector<int16_t>({ 2.f, 3.f, 3.f, 4.f }, qScale, qOffset));</div><div class="line"><a name="l02784"></a><span class="lineno"> 2784</span> </div><div class="line"><a name="l02785"></a><span class="lineno"> 2785</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({ 2, 4 }, datatype);</div><div class="line"><a name="l02786"></a><span class="lineno"> 2786</span>  boost::multi_array<int16_t, 2> expectedOutput =</div><div class="line"><a name="l02787"></a><span class="lineno"> 2787</span>  MakeTensor<int16_t, 2>(</div><div class="line"><a name="l02788"></a><span class="lineno"> 2788</span>  outputDesc,</div><div class="line"><a name="l02789"></a><span class="lineno"> 2789</span>  armnnUtils::QuantizedVector<int16_t>(</div><div class="line"><a name="l02790"></a><span class="lineno"> 2790</span>  {</div><div class="line"><a name="l02791"></a><span class="lineno"> 2791</span>  -0.36444446f, -0.00352185f, 0.12886585f, -0.05163646f,</div><div class="line"><a name="l02792"></a><span class="lineno"> 2792</span>  -0.42734814f, -0.00478661f, 0.13455015f, -0.03560682f</div><div class="line"><a name="l02793"></a><span class="lineno"> 2793</span>  },</div><div class="line"><a name="l02794"></a><span class="lineno"> 2794</span>  qScale, qOffset));</div><div class="line"><a name="l02795"></a><span class="lineno"> 2795</span> </div><div class="line"><a name="l02796"></a><span class="lineno"> 2796</span>  <span class="keywordflow">return</span> LstmLayerWithCifgWithPeepholeNoProjectionTestImpl<datatype>(</div><div class="line"><a name="l02797"></a><span class="lineno"> 2797</span>  workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput, qScale, qOffset, constantDatatype);</div><div class="line"><a name="l02798"></a><span class="lineno"> 2798</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#l00152">Tensor.hpp:152</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="a3ca648bd28b5f0b835868282409b3458"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3ca648bd28b5f0b835868282409b3458">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02894">2894</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02898"></a><span class="lineno"> 2898</span> {</div><div class="line"><a name="l02899"></a><span class="lineno"> 2899</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="l02900"></a><span class="lineno"> 2900</span>  boost::multi_array<int8_t, 2> input = MakeTensor<int8_t, 2>(inputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02901"></a><span class="lineno"> 2901</span>  {90, 102, 13, 26, 38, 102, 13, 26, 51, 64}));</div><div class="line"><a name="l02902"></a><span class="lineno"> 2902</span> </div><div class="line"><a name="l02903"></a><span class="lineno"> 2903</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="l02904"></a><span class="lineno"> 2904</span>  boost::multi_array<int8_t, 2> expectedOutput = MakeTensor<int8_t, 2>(outputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02905"></a><span class="lineno"> 2905</span>  {-15, 21, 14, 20, -15, 15, 5, 27}));</div><div class="line"><a name="l02906"></a><span class="lineno"> 2906</span> </div><div class="line"><a name="l02907"></a><span class="lineno"> 2907</span>  <span class="keywordflow">return</span> QLstmTestImpl(workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02908"></a><span class="lineno"> 2908</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#l00152">Tensor.hpp:152</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="a95ad313188cccfdd052c4620b4dc0743"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a95ad313188cccfdd052c4620b4dc0743">◆ </a></span>QLstmTest1()</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> QLstmTest1 </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02910">2910</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02914"></a><span class="lineno"> 2914</span> {</div><div class="line"><a name="l02915"></a><span class="lineno"> 2915</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="l02916"></a><span class="lineno"> 2916</span>  boost::multi_array<int8_t, 2> input = MakeTensor<int8_t, 2>(inputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02917"></a><span class="lineno"> 2917</span>  {90, 102, 13, 26, 38, 102, 13, 26, 51, 64}));</div><div class="line"><a name="l02918"></a><span class="lineno"> 2918</span> </div><div class="line"><a name="l02919"></a><span class="lineno"> 2919</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 3}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>);</div><div class="line"><a name="l02920"></a><span class="lineno"> 2920</span>  boost::multi_array<int8_t, 2> expectedOutput = MakeTensor<int8_t, 2>(outputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02921"></a><span class="lineno"> 2921</span>  {127, 127, -108, -67, 127, 127}));</div><div class="line"><a name="l02922"></a><span class="lineno"> 2922</span> </div><div class="line"><a name="l02923"></a><span class="lineno"> 2923</span>  <span class="keywordflow">return</span> QLstmTestImpl1(workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02924"></a><span class="lineno"> 2924</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#l00152">Tensor.hpp:152</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="a017dcda811d5b5dc185f8c1d2e9b29f3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a017dcda811d5b5dc185f8c1d2e9b29f3">◆ </a></span>QLstmTest2()</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> QLstmTest2 </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02926">2926</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#l01441">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l02930"></a><span class="lineno"> 2930</span> {</div><div class="line"><a name="l02931"></a><span class="lineno"> 2931</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="l02932"></a><span class="lineno"> 2932</span>  boost::multi_array<int8_t, 2> input = MakeTensor<int8_t, 2>(inputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02933"></a><span class="lineno"> 2933</span>  {90, 102, 13, 26, 38, 102, 13, 26, 51, 64}));</div><div class="line"><a name="l02934"></a><span class="lineno"> 2934</span> </div><div class="line"><a name="l02935"></a><span class="lineno"> 2935</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputDesc({2, 3}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>);</div><div class="line"><a name="l02936"></a><span class="lineno"> 2936</span>  boost::multi_array<int8_t, 2> expectedOutput = MakeTensor<int8_t, 2>(outputDesc, std::vector<int8_t>(</div><div class="line"><a name="l02937"></a><span class="lineno"> 2937</span>  {127, 127, 127, -128, 127, 127}));</div><div class="line"><a name="l02938"></a><span class="lineno"> 2938</span> </div><div class="line"><a name="l02939"></a><span class="lineno"> 2939</span>  <span class="keywordflow">return</span> QLstmTestImpl2(workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02940"></a><span class="lineno"> 2940</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#l00152">Tensor.hpp:152</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="a8d9469ec08347dd451d782f102a6c8fa"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8d9469ec08347dd451d782f102a6c8fa">◆ </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td> + <td class="paramname"><em>tensorHandleFactory</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#l02877">2877</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="l02881"></a><span class="lineno"> 2881</span> {</div><div class="line"><a name="l02882"></a><span class="lineno"> 2882</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="l02883"></a><span class="lineno"> 2883</span>  boost::multi_array<uint8_t, 2> input = MakeTensor<uint8_t, 2>(inputDesc, std::vector<uint8_t>(</div><div class="line"><a name="l02884"></a><span class="lineno"> 2884</span>  {166, 179, 50, 150}));</div><div class="line"><a name="l02885"></a><span class="lineno"> 2885</span> </div><div class="line"><a name="l02886"></a><span class="lineno"> 2886</span>  <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="l02887"></a><span class="lineno"> 2887</span>  boost::multi_array<uint8_t, 2> expectedOutput = MakeTensor<uint8_t, 2>(outputDesc, std::vector<uint8_t>(</div><div class="line"><a name="l02888"></a><span class="lineno"> 2888</span>  {140, 151, 146, 112, 136, 156, 142, 112 }));</div><div class="line"><a name="l02889"></a><span class="lineno"> 2889</span> </div><div class="line"><a name="l02890"></a><span class="lineno"> 2890</span>  <span class="keywordflow">return</span> QuantizedLstmTestImpl(workloadFactory, memoryManager, tensorHandleFactory, input, expectedOutput);</div><div class="line"><a name="l02891"></a><span class="lineno"> 2891</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#l00152">Tensor.hpp:152</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 Thu Feb 25 2021 17:27:55 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> |