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author | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
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committer | Nikhil Raj <nikhil.raj@arm.com> | 2022-08-19 15:23:36 +0100 |
commit | 7bfd38a721360183f3392f9ab35db18a0dd7fef8 (patch) | |
tree | 5b4da2f2e88636c939afbafa2571170297114e40 /22.08/_fake_quantization_test_impl_8cpp_source.xhtml | |
parent | d5d43d82c0137e08553e44345c609cdd1a7931c7 (diff) | |
download | armnn-7bfd38a721360183f3392f9ab35db18a0dd7fef8.tar.gz |
Update Doxygen for 22.08 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I4789fe868e0492839be1482e5cee3642ed90d756
Diffstat (limited to '22.08/_fake_quantization_test_impl_8cpp_source.xhtml')
-rw-r--r-- | 22.08/_fake_quantization_test_impl_8cpp_source.xhtml | 137 |
1 files changed, 137 insertions, 0 deletions
diff --git a/22.08/_fake_quantization_test_impl_8cpp_source.xhtml b/22.08/_fake_quantization_test_impl_8cpp_source.xhtml new file mode 100644 index 0000000000..8127269a2f --- /dev/null +++ b/22.08/_fake_quantization_test_impl_8cpp_source.xhtml @@ -0,0 +1,137 @@ +<!-- 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/FakeQuantizationTestImpl.cpp Source File</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="jquery.js"></script> +<script type="text/javascript" src="dynsections.js"></script> +<link href="navtree.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="resize.js"></script> +<script type="text/javascript" src="navtreedata.js"></script> +<script type="text/javascript" src="navtree.js"></script> +<script type="text/javascript"> + $(document).ready(initResizable); +</script> +<link href="search/search.css" rel="stylesheet" type="text/css"/> +<script type="text/javascript" src="search/searchdata.js"></script> +<script type="text/javascript" src="search/search.js"></script> +<script type="text/x-mathjax-config"> + MathJax.Hub.Config({ + extensions: ["tex2jax.js"], + jax: ["input/TeX","output/HTML-CSS"], +}); +</script><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="stylesheet.css" rel="stylesheet" type="text/css"/> +</head> +<body> +<div id="top"><!-- do not remove this div, it is closed by doxygen! --> +<div id="titlearea"> +<table cellspacing="0" cellpadding="0"> + <tbody> + <tr style="height: 56px;"> + <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 10rem; margin-top: .5rem; margin-left 10px"/> + <td style="padding-left: 0.5em;"> + <div id="projectname"> +  <span id="projectnumber">22.08</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.13 --> +<script type="text/javascript"> +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +$(document).ready(function(){initNavTree('_fake_quantization_test_impl_8cpp_source.xhtml','');}); +</script> +<div id="doc-content"> +<!-- window showing the filter options --> +<div id="MSearchSelectWindow" + onmouseover="return searchBox.OnSearchSelectShow()" + onmouseout="return searchBox.OnSearchSelectHide()" + onkeydown="return searchBox.OnSearchSelectKey(event)"> +</div> + +<!-- iframe showing the search results (closed by default) --> +<div id="MSearchResultsWindow"> +<iframe src="javascript:void(0)" frameborder="0" + name="MSearchResults" id="MSearchResults"> +</iframe> +</div> + +<div class="header"> + <div class="headertitle"> +<div class="title">FakeQuantizationTestImpl.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_fake_quantization_test_impl_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_fake_quantization_test_impl_8hpp.xhtml">FakeQuantizationTestImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">armnn/backends/TensorHandle.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml">armnnTestUtils/TensorCopyUtils.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_test_utils_2_workload_test_utils_8hpp.xhtml">armnnTestUtils/WorkloadTestUtils.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml">armnnTestUtils/TensorHelpers.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="_fake_quantization_test_impl_8hpp.xhtml#a545e66a405496a758053aef7808e81a5"> 16</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 2></a> <a class="code" href="_fake_quantization_test_impl_8cpp.xhtml#a545e66a405496a758053aef7808e81a5">FakeQuantizationTest</a>(</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory)</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  constexpr <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 3;</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>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> tensorInfo({ height, width }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  std::vector<float> input =</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  -10.0f, -5.0f,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  0.0f, 5.0f,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  10.0f, 10.0f</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>  std::vector<float> actualOutput(tensorInfo.GetNumElements());</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::vector<float> expectedOutput(tensorInfo.GetNumElements());</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(tensorInfo);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(tensorInfo);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">armnn::FakeQuantizationQueueDescriptor</a> data;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  AddInputToWorkload(data, info, tensorInfo, inputHandle.get());</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  AddOutputToWorkload(data, info, tensorInfo, outputHandle.get());</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">float</span> min = -10.f;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordtype">float</span> max = 10.f;</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>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">m_Min</a> = min;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">m_Max</a> = max;</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="classarmnn_1_1_passthrough_tensor_handle.xhtml">armnn::PassthroughTensorHandle</a> refHandle(tensorInfo, expectedOutput.data());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">armnn::FakeQuantizationQueueDescriptor</a> refData = data;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  SetWorkloadOutput(refData, refInfo, 0, tensorInfo, &refHandle);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">CreateWorkload</a>(<a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a>,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  data,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  info);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  inputHandle->Allocate();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  outputHandle->Allocate();</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.data());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  workload->Execute();</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</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>  expectedOutput =</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  0.0f, 63.0f,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  128.0f, 191.0f,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  255.0f, 255.0f</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  };</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>  <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 2></a>(actualOutput,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  expectedOutput,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  outputHandle->GetShape(),</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  tensorInfo.GetShape());</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div><div class="ttc" id="_fake_quantization_test_impl_8cpp_xhtml_a545e66a405496a758053aef7808e81a5"><div class="ttname"><a href="_fake_quantization_test_impl_8cpp.xhtml#a545e66a405496a758053aef7808e81a5">FakeQuantizationTest</a></div><div class="ttdeci">LayerTestResult< float, 2 > FakeQuantizationTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_fake_quantization_test_impl_8cpp_source.xhtml#l00016">FakeQuantizationTestImpl.cpp:16</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_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_xhtml_a4c14a8e0d126891dd0c38e7584312bfd"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#a4c14a8e0d126891dd0c38e7584312bfd">armnn::FakeQuantizationDescriptor::m_Min</a></div><div class="ttdeci">float m_Min</div><div class="ttdoc">Minimum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00880">Descriptors.hpp:880</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="_fake_quantization_test_impl_8hpp_xhtml"><div class="ttname"><a href="_fake_quantization_test_impl_8hpp.xhtml">FakeQuantizationTestImpl.hpp</a></div></div> +<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00066">WorkloadData.hpp:66</a></div></div> +<div class="ttc" id="structarmnn_1_1_fake_quantization_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_queue_descriptor.xhtml">armnn::FakeQuantizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml#l00371">WorkloadData.hpp:371</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.xhtml#l00099">IBackendInternal.hpp:99</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ab5dfed8358e500ed523d78090ec78e88"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *mem, 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="include_2armnn_2backends_2_tensor_handle_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_tensor_handle_8hpp.xhtml">TensorHandle.hpp</a></div></div> +<div class="ttc" id="classarmnn_1_1_passthrough_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_passthrough_tensor_handle.xhtml">armnn::PassthroughTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_tensor_handle_8hpp_source.xhtml#l00147">TensorHandle.hpp:147</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_helpers_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.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 class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00042">ITensorHandleFactory.hpp:42</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div 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 TensorInfos of 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="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a3489c7b05e180496cb2ce8ac73887f48">armnn::LayerType::FakeQuantization</a></div></div> +<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a13060ebb89d2c21a7a5d897e99cccf72"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a13060ebb89d2c21a7a5d897e99cccf72">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01575">WorkloadFactory.cpp:1575</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="structarmnn_1_1_fake_quantization_descriptor_xhtml_ad3729c591f7bfda7ad9ef9927d8a1bd6"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.xhtml#ad3729c591f7bfda7ad9ef9927d8a1bd6">armnn::FakeQuantizationDescriptor::m_Max</a></div><div class="ttdeci">float m_Max</div><div class="ttdoc">Maximum value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00882">Descriptors.hpp:882</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml">TensorCopyUtils.hpp</a></div></div> +<div class="ttc" id="include_2armnn_test_utils_2_workload_test_utils_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_test_utils_2_workload_test_utils_8hpp.xhtml">WorkloadTestUtils.hpp</a></div></div> +</div><!-- fragment --></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="_fake_quantization_test_impl_8cpp.xhtml">FakeQuantizationTestImpl.cpp</a></li> + <li class="footer">Generated on Fri Aug 19 2022 14:38:28 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> |