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author | James Ward <james.ward@arm.com> | 2020-11-26 11:08:12 +0000 |
---|---|---|
committer | Colm Donelan <colm.donelan@arm.com> | 2020-11-26 14:39:49 +0000 |
commit | fb14ebbd68e04876809145296af96f6f41857418 (patch) | |
tree | 7eacc90dd6c79f3a6eae6e3c7b04d3a04161c794 /20.11/_elementwise_test_impl_8hpp.xhtml | |
parent | 4840dfb7543d66652dc11c5ff39c8f5c1e2f9370 (diff) | |
download | armnn-fb14ebbd68e04876809145296af96f6f41857418.tar.gz |
IVGCVSW-5348 Update Doxygen Docu
* Update Doxygen Documentation for 20.11 release
Signed-off-by: James Ward <james.ward@arm.com>
Change-Id: Ib47edac7923a642a277b1169d1085e5622021dc0
Diffstat (limited to '20.11/_elementwise_test_impl_8hpp.xhtml')
-rw-r--r-- | 20.11/_elementwise_test_impl_8hpp.xhtml | 582 |
1 files changed, 582 insertions, 0 deletions
diff --git a/20.11/_elementwise_test_impl_8hpp.xhtml b/20.11/_elementwise_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..e8e828df1b --- /dev/null +++ b/20.11/_elementwise_test_impl_8hpp.xhtml @@ -0,0 +1,582 @@ +<!-- 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/ElementwiseTestImpl.hpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> 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class="headertitle"> +<div class="title">ElementwiseTestImpl.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_8hpp_source.xhtml">backendsCommon/Workload.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_data_8hpp_source.xhtml">backendsCommon/WorkloadData.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>></code><br /> +<code>#include <<a class="el" href="_data_type_utils_8hpp_source.xhtml">backendsCommon/test/DataTypeUtils.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="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>></code><br /> +<code>#include <memory></code><br /> +</div> +<p><a href="_elementwise_test_impl_8hpp_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:ab6921db5d86507f5b126af1cc516adb9"><td class="memTemplParams" colspan="2">template<typename DescriptorType > </td></tr> +<tr class="memitem:ab6921db5d86507f5b126af1cc516adb9"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarmnn_1_1_i_workload.xhtml">armnn::IWorkload</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> &info, const DescriptorType &descriptor)</td></tr> +<tr class="separator:ab6921db5d86507f5b126af1cc516adb9"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:ab8471a27ed381e0bbd7e88b5bbcbc80f"><td class="memTemplParams" colspan="2">template<std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnTypeInput, armnn::DataType ArmnnTypeOutput, typename TInput = armnn::ResolveType<ArmnnTypeInput>, typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> </td></tr> +<tr class="memitem:ab8471a27ed381e0bbd7e88b5bbcbc80f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< TOutput, NumDims > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#ab8471a27ed381e0bbd7e88b5bbcbc80f">ElementwiseTestHelper</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 unsigned int shape0[NumDims], std::vector< TInput > values0, float quantScale0, int quantOffset0, const unsigned int shape1[NumDims], std::vector< TInput > values1, float quantScale1, int quantOffset1, const unsigned int outShape[NumDims], std::vector< TOutput > outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float outQuantScale, int outQuantOffset)</td></tr> +<tr class="separator:ab8471a27ed381e0bbd7e88b5bbcbc80f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a210d3cf8e719075f40446990509ee897"><td class="memTemplParams" colspan="2">template<std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a210d3cf8e719075f40446990509ee897"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, NumDims > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#a210d3cf8e719075f40446990509ee897">ElementwiseTestHelper</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 unsigned int shape0[NumDims], std::vector< T > values0, float quantScale0, int quantOffset0, const unsigned int shape1[NumDims], std::vector< T > values1, float quantScale1, int quantOffset1, const unsigned int outShape[NumDims], std::vector< T > outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float outQuantScale, int outQuantOffset)</td></tr> +<tr class="separator:a210d3cf8e719075f40446990509ee897"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a30ab10ed3fa6f6727aa1b739d4db188f"><td class="memTemplParams" colspan="2">template<std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnTypeInput, armnn::DataType ArmnnTypeOutput, typename TInput = armnn::ResolveType<ArmnnTypeInput>, typename TOutput = armnn::ResolveType<ArmnnTypeOutput>> </td></tr> +<tr class="memitem:a30ab10ed3fa6f6727aa1b739d4db188f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< TOutput, NumDims > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#a30ab10ed3fa6f6727aa1b739d4db188f">ElementwiseTestHelper</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 unsigned int shape0[NumDims], std::vector< TInput > values0, const unsigned int shape1[NumDims], std::vector< TInput > values1, const unsigned int outShape[NumDims], std::vector< TOutput > outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float quantScale=1.0f, int quantOffset=0)</td></tr> +<tr class="separator:a30ab10ed3fa6f6727aa1b739d4db188f"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9d5c8b4217cf310c9f9c8e64036ef0c1"><td class="memTemplParams" colspan="2">template<std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a9d5c8b4217cf310c9f9c8e64036ef0c1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, NumDims > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#a9d5c8b4217cf310c9f9c8e64036ef0c1">ElementwiseTestHelper</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 unsigned int shape0[NumDims], std::vector< T > values0, const unsigned int shape1[NumDims], std::vector< T > values1, const unsigned int outShape[NumDims], std::vector< T > outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, float quantScale=1.0f, int quantOffset=0)</td></tr> +<tr class="separator:a9d5c8b4217cf310c9f9c8e64036ef0c1"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="ab6921db5d86507f5b126af1cc516adb9"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab6921db5d86507f5b126af1cc516adb9">◆ </a></span>CreateWorkload()</h2> + +<div class="memitem"> +<div class="memproto"> + <table class="memname"> + <tr> + <td class="memname">std::unique_ptr<<a class="el" href="classarmnn_1_1_i_workload.xhtml">armnn::IWorkload</a>> CreateWorkload </td> + <td>(</td> + <td class="paramtype">const <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="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> & </td> + <td class="paramname"><em>info</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const DescriptorType & </td> + <td class="paramname"><em>descriptor</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="_elementwise_test_impl_8hpp_source.xhtml#l00027">27</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p> + +<p class="reference">Referenced by <a class="el" href="_layer_8hpp_source.xhtml#l00267">Layer::SetBackendId()</a>.</p> +<div class="fragment"><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(workloadFactory, info, descriptor);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> }</div><div class="ttc" id="_elementwise_test_impl_8hpp_xhtml_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const DescriptorType &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00027">ElementwiseTestImpl.hpp:27</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="ab8471a27ed381e0bbd7e88b5bbcbc80f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#ab8471a27ed381e0bbd7e88b5bbcbc80f">◆ </a></span>ElementwiseTestHelper() <span class="overload">[1/4]</span></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, NumDims> ElementwiseTestHelper </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 unsigned int </td> + <td class="paramname"><em>shape0</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< TInput > </td> + <td class="paramname"><em>values0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>quantScale0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>quantOffset0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>shape1</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< TInput > </td> + <td class="paramname"><em>values1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>quantScale1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>quantOffset1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>outShape</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< TOutput > </td> + <td class="paramname"><em>outValues</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">float </td> + <td class="paramname"><em>outQuantScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>outQuantOffset</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="_elementwise_test_impl_8hpp_source.xhtml#l00041">41</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00044">LayerTestResult< T, n >::compareBoolean</a>, <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="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult< T, n >::output</a>, <a class="el" href="_layer_test_result_8hpp_source.xhtml#l00042">LayerTestResult< T, n >::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00464">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo0{NumDims, shape0, ArmnnTypeInput};</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1{NumDims, shape1, ArmnnTypeInput};</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo{NumDims, outShape, ArmnnTypeOutput};</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">auto</span> input0 = MakeTensor<TInput, NumDims>(inputTensorInfo0, values0);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">auto</span> input1 = MakeTensor<TInput, NumDims>(inputTensorInfo1, values1);</div><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>  inputTensorInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantScale0);</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  inputTensorInfo0.SetQuantizationOffset(quantOffset0);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  inputTensorInfo1.SetQuantizationScale(quantScale1);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  inputTensorInfo1.SetQuantizationOffset(quantOffset1);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  outputTensorInfo.SetQuantizationScale(outQuantScale);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  outputTensorInfo.SetQuantizationOffset(outQuantOffset);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<TOutput, NumDims></a> ret(outputTensorInfo);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span>(ArmnnTypeOutput == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>)</div><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>  ret.compareBoolean = <span class="keyword">true</span>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle0 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</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="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  Descriptor data;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</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="l00087"></a><span class="lineno"> 87</span>  AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">auto</span> workload = CreateWorkload<Descriptor>(workloadFactory, info, data);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  inputHandle0->Allocate();</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  inputHandle1->Allocate();</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  outputHandle->Allocate();</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0.get(), input0.origin());</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.origin());</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.output.origin(), outputHandle.get());</div><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>  ret.outputExpected = MakeTensor<TOutput, NumDims>(outputTensorInfo, outValues);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</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="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="a210d3cf8e719075f40446990509ee897"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a210d3cf8e719075f40446990509ee897">◆ </a></span>ElementwiseTestHelper() <span class="overload">[2/4]</span></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><T, NumDims> ElementwiseTestHelper </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 unsigned int </td> + <td class="paramname"><em>shape0</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< T > </td> + <td class="paramname"><em>values0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>quantScale0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>quantOffset0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>shape1</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< T > </td> + <td class="paramname"><em>values1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">float </td> + <td class="paramname"><em>quantScale1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>quantOffset1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>outShape</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< T > </td> + <td class="paramname"><em>outValues</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">float </td> + <td class="paramname"><em>outQuantScale</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>outQuantOffset</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="_elementwise_test_impl_8hpp_source.xhtml#l00112">112</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</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>  <span class="keywordflow">return</span> ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>(</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  workloadFactory,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  memoryManager,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  shape0,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  values0,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  quantScale0,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  quantOffset0,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  shape1,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  values1,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  quantScale1,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  quantOffset1,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  outShape,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  outValues,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  tensorHandleFactory,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  outQuantScale,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  outQuantOffset);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a30ab10ed3fa6f6727aa1b739d4db188f"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a30ab10ed3fa6f6727aa1b739d4db188f">◆ </a></span>ElementwiseTestHelper() <span class="overload">[3/4]</span></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, NumDims> ElementwiseTestHelper </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 unsigned int </td> + <td class="paramname"><em>shape0</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< TInput > </td> + <td class="paramname"><em>values0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>shape1</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< TInput > </td> + <td class="paramname"><em>values1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>outShape</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< TOutput > </td> + <td class="paramname"><em>outValues</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">float </td> + <td class="paramname"><em>quantScale</em> = <code>1.0f</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>quantOffset</em> = <code>0</code> </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="_elementwise_test_impl_8hpp_source.xhtml#l00153">153</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<NumDims, Descriptor, ArmnnTypeInput, ArmnnTypeOutput>(</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  workloadFactory,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  memoryManager,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  shape0,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  values0,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  quantScale,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  quantOffset,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  shape1,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  values1,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  quantScale,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  quantOffset,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  outShape,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  outValues,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  tensorHandleFactory,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  quantScale,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  quantOffset);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> }</div></div><!-- fragment --> +</div> +</div> +<a id="a9d5c8b4217cf310c9f9c8e64036ef0c1"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9d5c8b4217cf310c9f9c8e64036ef0c1">◆ </a></span>ElementwiseTestHelper() <span class="overload">[4/4]</span></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><T, NumDims> ElementwiseTestHelper </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 unsigned int </td> + <td class="paramname"><em>shape0</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< T > </td> + <td class="paramname"><em>values0</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>shape1</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< T > </td> + <td class="paramname"><em>values1</em>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">const unsigned int </td> + <td class="paramname"><em>outShape</em>[NumDims], </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">std::vector< T > </td> + <td class="paramname"><em>outValues</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">float </td> + <td class="paramname"><em>quantScale</em> = <code>1.0f</code>, </td> + </tr> + <tr> + <td class="paramkey"></td> + <td></td> + <td class="paramtype">int </td> + <td class="paramname"><em>quantOffset</em> = <code>0</code> </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="_elementwise_test_impl_8hpp_source.xhtml#l00188">188</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p> +<div class="fragment"><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> {</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<NumDims, Descriptor, ArmnnType, ArmnnType>(</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  workloadFactory,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  memoryManager,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  shape0,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  values0,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  shape1,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  values1,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  outShape,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  outValues,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  tensorHandleFactory,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  quantScale,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  quantOffset);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</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" 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="_elementwise_test_impl_8hpp.xhtml">ElementwiseTestImpl.hpp</a></li> + <li class="footer">Generated on Thu Nov 26 2020 11:04:28 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> |