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author | mathad01 <matthew.haddon@arm.com> | 2021-05-10 16:51:20 +0100 |
---|---|---|
committer | matthew.haddon <matthew.haddon@arm.com> | 2021-05-12 07:59:04 +0000 |
commit | add078b7f9a658d52ee6e8fe6771ea0517c07674 (patch) | |
tree | 104b4aac324234c13f83372bec194385ca45b1db /21.05/_cast_test_impl_8cpp.xhtml | |
parent | a24952b12a56da56b6acabfd07cc60b1663720f9 (diff) | |
download | armnn-add078b7f9a658d52ee6e8fe6771ea0517c07674.tar.gz |
IVGCVSW-5908 Update 21.05 Doxygen Documents
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I95316d4fc5f9d10185492dc835bb2411c1daea7b
Diffstat (limited to '21.05/_cast_test_impl_8cpp.xhtml')
-rw-r--r-- | 21.05/_cast_test_impl_8cpp.xhtml | 668 |
1 files changed, 668 insertions, 0 deletions
diff --git a/21.05/_cast_test_impl_8cpp.xhtml b/21.05/_cast_test_impl_8cpp.xhtml new file mode 100644 index 0000000000..88ec62d4f5 --- /dev/null +++ b/21.05/_cast_test_impl_8cpp.xhtml @@ -0,0 +1,668 @@ +<!-- 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/CastTestImpl.cpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script 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+<div class="title">CastTestImpl.cpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_cast_test_impl_8hpp_source.xhtml">CastTestImpl.hpp</a>"</code><br /> +<code>#include "<a class="el" href="_elementwise_unary_test_impl_8hpp_source.xhtml">ElementwiseUnaryTestImpl.hpp</a>"</code><br /> +</div> +<p><a href="_cast_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:a318dca7a4745365f4922d3f47ef6bd11"><td class="memTemplParams" colspan="2">template<armnn::DataType inputDataType, armnn::DataType outputDataType, typename TInput , typename TOutput > </td></tr> +<tr class="memitem:a318dca7a4745365f4922d3f47ef6bd11"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< TOutput, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a318dca7a4745365f4922d3f47ef6bd11">CastTest</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, const std::vector< TInput > &inputValues, const std::vector< TOutput > &outputValues)</td></tr> +<tr class="separator:a318dca7a4745365f4922d3f47ef6bd11"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a691dd2304549c836d178e9b5d4a55aa6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a691dd2304549c836d178e9b5d4a55aa6">CastInt32ToFloat2dTest</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:a691dd2304549c836d178e9b5d4a55aa6"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a840625ec1da2ef60821e3eb6953a984b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a840625ec1da2ef60821e3eb6953a984b">CastInt16ToFloat2dTest</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:a840625ec1da2ef60821e3eb6953a984b"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a1128795c9ffd454dfd8027d3a520eb29"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a1128795c9ffd454dfd8027d3a520eb29">CastInt8ToFloat2dTest</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:a1128795c9ffd454dfd8027d3a520eb29"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a3e3dc07649eeeac0f021236865f96779"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a3e3dc07649eeeac0f021236865f96779">CastInt8AsymmToFloat2dTest</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:a3e3dc07649eeeac0f021236865f96779"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ac5e6424c44f13abf965e2f374d689eee"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#ac5e6424c44f13abf965e2f374d689eee">CastUInt8ToFloat2dTest</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:ac5e6424c44f13abf965e2f374d689eee"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a8ad5f6969a59c8a6c8439b42ce674d80"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a8ad5f6969a59c8a6c8439b42ce674d80">CastInt8ToUInt82dTest</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:a8ad5f6969a59c8a6c8439b42ce674d80"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a5255b2881c2007b022bd410b83436422"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a5255b2881c2007b022bd410b83436422">CastInt8AsymmToUInt82dTest</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:a5255b2881c2007b022bd410b83436422"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af50afce22a8d9eb696d6126eb90a2db7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#af50afce22a8d9eb696d6126eb90a2db7">CastFloat16ToFloat322dTest</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:af50afce22a8d9eb696d6126eb90a2db7"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:afa3e5ba80cf8692ecf2812ce6b3761e4"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#afa3e5ba80cf8692ecf2812ce6b3761e4">CastBFloat16ToFloat322dTest</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:afa3e5ba80cf8692ecf2812ce6b3761e4"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a090e2c60689b6dd2d2146fff35d378a3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< <a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a090e2c60689b6dd2d2146fff35d378a3">CastFloat32ToFloat162dTest</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:a090e2c60689b6dd2d2146fff35d378a3"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a6157c7e979f65ccf17bf5e6ff9d93a33"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< int8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a6157c7e979f65ccf17bf5e6ff9d93a33">CastFloat32ToInt82dTest</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:a6157c7e979f65ccf17bf5e6ff9d93a33"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a27ecf1a3c70a4a5c8a19759864ba0e83"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< uint8_t, 4 > </td><td class="memItemRight" valign="bottom"><a class="el" href="_cast_test_impl_8cpp.xhtml#a27ecf1a3c70a4a5c8a19759864ba0e83">CastFloat32ToUInt82dTest</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:a27ecf1a3c70a4a5c8a19759864ba0e83"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="afa3e5ba80cf8692ecf2812ce6b3761e4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#afa3e5ba80cf8692ecf2812ce6b3761e4">◆ </a></span>CastBFloat16ToFloat322dTest()</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, 4> CastBFloat16ToFloat322dTest </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="_cast_test_impl_8cpp_source.xhtml#l00166">166</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::vector<armnn::BFloat16> inputValues = armnnUtils::QuantizedVector<armnn::BFloat16>(</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  },</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  1.0f, 0);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  std::vector<float> outputValues = { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f, 0.0f,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  1.0f, 0.4f, 0.5f, 1.3f, 1.5f, 2.0f, 8.76f, 15.2f, 37.5f };</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::BFloat16, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  tensorHandleFactory, inputValues, outputValues);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="af50afce22a8d9eb696d6126eb90a2db7"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af50afce22a8d9eb696d6126eb90a2db7">◆ </a></span>CastFloat16ToFloat322dTest()</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, 4> CastFloat16ToFloat322dTest </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="_cast_test_impl_8cpp_source.xhtml#l00151">151</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  std::vector<armnn::Half> inputValues = { -1.10_h, -3._h, -1.30_h, -3._h, -1._h, -3._h, -1._h, -3._h, 1._h,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  3.10_h, 1._h, 3.30_h, 1._h, 2._h, 1._h, 3._h, 1._h, 3._h };</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  std::vector<float> outputValues = { -1.1f, -3.0f, -1.3f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  3.1f, 1.0f, 3.3f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float16, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  outputValues);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a090e2c60689b6dd2d2146fff35d378a3"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a090e2c60689b6dd2d2146fff35d378a3">◆ </a></span>CastFloat32ToFloat162dTest()</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><<a class="el" href="namespacearmnn.xhtml#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a>, 4> CastFloat32ToFloat162dTest </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="_cast_test_impl_8cpp_source.xhtml#l00186">186</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::vector<float> inputValues = { -37.5f, -15.2f, -8.76f, -2.0f, -1.5f, -1.3f, -0.5f, -0.4f,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  0.00000004f, 3.4E38f, 300.0f, 0.5f, 1.3f, 1.5f, 2.1E4f, 8.76f, 15.2f, 37.5f };</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  std::vector<armnn::Half> outputValues = {-37.50_h, -15.20_h, -8.76_h, -2._h, -1.50_h, -1.30_h, -0.50_h, -0.40_h,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  0._h, 6.55E4_h, 300._h, 0.50_h, 1.30_h, 1.50_h, 2.1E4_h, 8.76_h, 15.20_h, 37.50_h};</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float32, armnn::DataType::Float16>(workloadFactory, memoryManager,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  outputValues);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a6157c7e979f65ccf17bf5e6ff9d93a33"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a6157c7e979f65ccf17bf5e6ff9d93a33">◆ </a></span>CastFloat32ToInt82dTest()</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 , 4> CastFloat32ToInt82dTest </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="_cast_test_impl_8cpp_source.xhtml#l00203">203</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> {</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  std::vector<float> inputValues = { -1.0f, -3.5f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  3.1f, 1.5f, 3.9f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  std::vector<int8_t> outputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float32, armnn::DataType::QAsymmS8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  outputValues);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a27ecf1a3c70a4a5c8a19759864ba0e83"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a27ecf1a3c70a4a5c8a19759864ba0e83">◆ </a></span>CastFloat32ToUInt82dTest()</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 , 4> CastFloat32ToUInt82dTest </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="_cast_test_impl_8cpp_source.xhtml#l00217">217</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::vector<float> inputValues = { -1.0f, -3.5f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  3.1f, 1.5f, 3.9f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 1,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Float32, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  outputValues);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a840625ec1da2ef60821e3eb6953a984b"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a840625ec1da2ef60821e3eb6953a984b">◆ </a></span>CastInt16ToFloat2dTest()</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, 4> CastInt16ToFloat2dTest </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="_cast_test_impl_8cpp_source.xhtml#l00074">74</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  std::vector<int16_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QSymmS16, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  outputValues);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a691dd2304549c836d178e9b5d4a55aa6"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a691dd2304549c836d178e9b5d4a55aa6">◆ </a></span>CastInt32ToFloat2dTest()</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, 4> CastInt32ToFloat2dTest </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="_cast_test_impl_8cpp_source.xhtml#l00061">61</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  std::vector<int32_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::Signed32, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  outputValues);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a3e3dc07649eeeac0f021236865f96779"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a3e3dc07649eeeac0f021236865f96779">◆ </a></span>CastInt8AsymmToFloat2dTest()</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, 4> CastInt8AsymmToFloat2dTest </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="_cast_test_impl_8cpp_source.xhtml#l00100">100</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QAsymmS8, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  tensorHandleFactory, inputValues, outputValues);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a5255b2881c2007b022bd410b83436422"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a5255b2881c2007b022bd410b83436422">◆ </a></span>CastInt8AsymmToUInt82dTest()</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, 4> CastInt8AsymmToUInt82dTest </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="_cast_test_impl_8cpp_source.xhtml#l00138">138</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, -1,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QAsymmS8, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  outputValues);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a1128795c9ffd454dfd8027d3a520eb29"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a1128795c9ffd454dfd8027d3a520eb29">◆ </a></span>CastInt8ToFloat2dTest()</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, 4> CastInt8ToFloat2dTest </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="_cast_test_impl_8cpp_source.xhtml#l00087">87</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, 1,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::vector<float> outputValues = { -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, -1.0f, -3.0f, 1.0f,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QSymmS8, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  outputValues);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a8ad5f6969a59c8a6c8439b42ce674d80"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a8ad5f6969a59c8a6c8439b42ce674d80">◆ </a></span>CastInt8ToUInt82dTest()</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, 4> CastInt8ToUInt82dTest </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="_cast_test_impl_8cpp_source.xhtml#l00125">125</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  std::vector<int8_t> inputValues = { -1, -3, -1, -3, -1, -3, -1, -3, -1,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  std::vector<uint8_t> outputValues = { 0, 0, 0, 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QSymmS8, armnn::DataType::QAsymmU8>(workloadFactory, memoryManager,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  outputValues);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a318dca7a4745365f4922d3f47ef6bd11"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a318dca7a4745365f4922d3f47ef6bd11">◆ </a></span>CastTest()</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><TOutput, 4> CastTest </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 class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< TInput > & </td> + <td class="paramname"><em>inputValues</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const std::vector< TOutput > & </td> + <td class="paramname"><em>outputValues</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="_cast_test_impl_8cpp_source.xhtml#l00011">11</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01358">IWorkloadFactory::CreateCast()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00464">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo({1, 3, 2, 3}, inputDataType);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({1, 3, 2, 3}, outputDataType);</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keywordtype">float</span> quantizationScale = 1.0f;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  int32_t quantizationOffset = 0;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<TInput>())</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantizationScale);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  inputTensorInfo.SetQuantizationOffset(quantizationOffset);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  }</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<TOutput>())</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  outputTensorInfo.SetQuantizationScale(quantizationScale);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  outputTensorInfo.SetQuantizationOffset(quantizationOffset);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">auto</span> input = MakeTensor<TInput, 4>(inputTensorInfo, inputValues);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<TOutput, 4></a> ret(outputTensorInfo);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  ret.outputExpected = MakeTensor<TOutput, 4>(outputTensorInfo, outputValues);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="structarmnn_1_1_cast_queue_descriptor.xhtml">armnn::CastQueueDescriptor</a> data;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a89d2e69fd045ebe42e4a7bc17585d47e">CreateCast</a>(data, info);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  inputHandle->Allocate();</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  outputHandle->Allocate();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &input[0][0][0][0]);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  workload->Execute();</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div><div class="ttc" id="structarmnn_1_1_cast_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_cast_queue_descriptor.xhtml">armnn::CastQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00158">WorkloadData.hpp:158</a></div></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_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a89d2e69fd045ebe42e4a7bc17585d47e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a89d2e69fd045ebe42e4a7bc17585d47e">armnn::IWorkloadFactory::CreateCast</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateCast(const CastQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01358">WorkloadFactory.cpp:1358</a></div></div> +<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00464">Tensor.cpp:464</a></div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> +<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div> +<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00030">LayerTestResult.hpp:30</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div> +<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ac5e6424c44f13abf965e2f374d689eee"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ac5e6424c44f13abf965e2f374d689eee">◆ </a></span>CastUInt8ToFloat2dTest()</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, 4> CastUInt8ToFloat2dTest </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="_cast_test_impl_8cpp_source.xhtml#l00112">112</a> of file <a class="el" href="_cast_test_impl_8cpp_source.xhtml">CastTestImpl.cpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l01447">BOOST_AUTO_TEST_CASE()</a>.</p> +<div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::vector<u_int8_t> inputValues = { 1, 3, 1, 3, 1, 3, 1, 3, 1,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  3, 1, 3, 1, 2, 1, 3, 1, 3 };</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  std::vector<float> outputValues = { 1.0f, 3.0f, 1.0f, 3.0f, 1.0f, 3.0f, 1.0f, 3.0f, 1.0f,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  3.0f, 1.0f, 3.0f, 1.0f, 2.0f, 1.0f, 3.0f, 1.0f, 3.0f };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">return</span> CastTest<armnn::DataType::QAsymmU8, armnn::DataType::Float32>(workloadFactory, memoryManager,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  tensorHandleFactory, inputValues,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  outputValues);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</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" 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