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author | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2024-02-15 15:02:19 +0000 |
commit | 38b600d8abb2c5f7a44511b5deddf441f975d51d (patch) | |
tree | 32a082a9e39f3af53d8678a5c18dee67a7f572ec /latest/_gpu_fsa_cast_8cpp_source.html | |
parent | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (diff) | |
download | armnn-38b600d8abb2c5f7a44511b5deddf441f975d51d.tar.gz |
IVGCVSW-7968 Update Doxygen docu for 24.02
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I8c1e45815c6cf78f80d6f2c0959a5bbba6cd11de
Diffstat (limited to 'latest/_gpu_fsa_cast_8cpp_source.html')
-rw-r--r-- | latest/_gpu_fsa_cast_8cpp_source.html | 230 |
1 files changed, 230 insertions, 0 deletions
diff --git a/latest/_gpu_fsa_cast_8cpp_source.html b/latest/_gpu_fsa_cast_8cpp_source.html new file mode 100644 index 0000000000..49952f72e5 --- /dev/null +++ b/latest/_gpu_fsa_cast_8cpp_source.html @@ -0,0 +1,230 @@ +<!-- HTML header for doxygen 1.8.17--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "https://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 1.8.17"/> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>Arm NN: src/backends/gpuFsa/layers/GpuFsaCast.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> +<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" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> +<link href="doxygen.css" rel="stylesheet" type="text/css" /> +<link href="customdoxygen.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: 15rem; margin-top: .5rem; margin-left 13px"/> + <td id="projectalign" style="padding-left: 0.9em;"> + <div id="projectname"> +  <span id="projectnumber">24.02</span> + </div> + </td> + </tr> + </tbody> +</table> +</div> +<!-- end header part --> +<!-- Generated by Doxygen 1.8.17 --> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +var searchBox = new SearchBox("searchBox", "search",false,'Search'); +/* @license-end */ +</script> +<script type="text/javascript" src="menudata.js"></script> +<script type="text/javascript" src="menu.js"></script> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(function() { + initMenu('',true,false,'search.php','Search'); + $(document).ready(function() { init_search(); }); +}); +/* @license-end */</script> +<div id="main-nav"></div> +</div><!-- top --> +<div id="side-nav" class="ui-resizable side-nav-resizable"> + <div id="nav-tree"> + <div id="nav-tree-contents"> + <div id="nav-sync" class="sync"></div> + </div> + </div> + <div id="splitbar" style="-moz-user-select:none;" + class="ui-resizable-handle"> + </div> +</div> +<script type="text/javascript"> +/* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ +$(document).ready(function(){initNavTree('_gpu_fsa_cast_8cpp_source.html',''); initResizable(); }); +/* @license-end */ +</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">GpuFsaCast.cpp</div> </div> +</div><!--header--> +<div class="contents"> +<a href="_gpu_fsa_cast_8cpp.html">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 © 2024 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="_gpu_fsa_cast_8hpp.html">GpuFsaCast.hpp</a>"</span></div> +<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_gpu_fsa_backend_id_8hpp.html">gpuFsa/GpuFsaBackendId.hpp</a>"</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="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.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 <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuCast.h></span></div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h></span></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h></span></div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h></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"> 16</span> <span class="keyword">using namespace </span>arm_compute::experimental::dynamic_fusion;</div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> +<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</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> <span class="keyword">static</span> constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;</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="keyword">static</span> CastAttributes CastAttributesFromTensorInfo(<span class="keyword">const</span> TensorInfo& input)</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">using namespace </span>armcomputetensorutils;</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>  CastAttributes cast_attr;</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a> dataType = GetArmComputeDataType(input.GetDataType(), <span class="keyword">false</span>);</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  cast_attr.data_type(dataType).convert_policy(g_AclConvertPolicy);</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">return</span> cast_attr;</div> +<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>  </div> +<div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a10d20c479436685e213150471a4a395b"> 33</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a10d20c479436685e213150471a4a395b">GpuFsaCastValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output)</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">using namespace </span>armcomputetensorutils;</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>  <span class="comment">// Create a new workload sketch, for validation purposes</span></div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">auto</span> compileCtx = arm_compute::CLKernelLibrary::get().get_compile_context();</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">auto</span> workloadContext = GpuWorkloadContext(&compileCtx);</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  GpuWorkloadSketch sketch{ &workloadContext };</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>  arm_compute::TensorInfo aclinputInfo = BuildArmComputeTensorInfo(input, input.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  aclinputInfo.set_are_values_constant(input.<a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>());</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>  arm_compute::ITensorInfo* inputInfo0 = workloadContext.create_tensor_info(aclinputInfo);</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  </div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  CastAttributes cast_attr = CastAttributesFromTensorInfo(output);</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  </div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> aclStatus = GpuCast::validate_op(sketch, inputInfo0, cast_attr);</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#ifndef NDEBUG</span></div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> validated = aclStatus.error_code() == arm_compute::ErrorCode::OK;</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span> (!validated)</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::cout << <span class="stringliteral">"GpuFsaCastValidate failed: "</span> << aclStatus.error_description() << std::endl;</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> <span class="preprocessor">#endif</span></div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">return</span> aclStatus;</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div> +<div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="namespacearmnn.html#aa2889978c1d194097838a2a0e671da60"> 61</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#aa2889978c1d194097838a2a0e671da60">GpuFsaCastCreateOp</a>(<a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html">GpuFsaPreCompiledBlob</a>* blob,</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output)</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>  <span class="keyword">using namespace </span>armcomputetensorutils;</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  GpuWorkloadSketch* sketch = blob-><a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a14f92a9f65e32c3da896e7b1d45abd02">sketch</a>.get();</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  GpuWorkloadContext* workloadContext = blob-><a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a255c9012137b149ffb46d83c23f2df43">workloadContext</a>.get();</div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  std::vector<arm_compute::ITensorInfo*> inputTensorInfos = {};</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  std::vector<arm_compute::ITensorInfo*> outputTensorInfos = {};</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  arm_compute::TensorInfo aclinputInfo = BuildArmComputeTensorInfo(input, input.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</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>  aclinputInfo.set_are_values_constant(input.<a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>());</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>  inputTensorInfos.emplace_back(workloadContext->create_tensor_info(aclinputInfo));</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>  CastAttributes cast_attr = CastAttributesFromTensorInfo(output);</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>  <span class="comment">// Validate operator, check status and update reasonIfUnsupported</span></div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> aclStatus = GpuCast::validate_op(*sketch, inputTensorInfos[0], cast_attr);</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> validated = aclStatus.error_code() == arm_compute::ErrorCode::OK;</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span> (!validated)</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>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_backend_capability_exception.html">BackendCapabilityException</a>(<span class="stringliteral">"\""</span> + std::string(<a class="code" href="namespacearmnn.html#ab912656f08118f8b81f8261b5e0dc3a9">GpuFsaBackendId</a>())</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  + <span class="stringliteral">"\" backend failed during cast operator validation"</span>);</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  arm_compute::ITensorInfo* castOutputInfo =</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  GpuCast::create_op(*sketch, inputTensorInfos[0], cast_attr);</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>  <span class="comment">// Temporary fix until fusing attempt is make for GpuFsa backend and Output layer workload is created.</span></div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  outputTensorInfos.emplace_back(workloadContext->create_tensor_info());</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  GpuOutput::create_op(*sketch, castOutputInfo, outputTensorInfos[0]);</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>  <span class="comment">// Store the TensorInfos within the blob as unique_ptrs to be used later</span></div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  blob-><a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a479b90f0b24c427502d94b716117e034">inputTensorInfos</a> = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(inputTensorInfos);</div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  blob-><a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#ac49bf679a23aa84f06a6bde3440a4c40">outputTensorInfos</a> = std::make_unique<std::vector<arm_compute::ITensorInfo*>>(outputTensorInfos);</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> }</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  </div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> } <span class="comment">// namespace armnn</span></div> +</div><!-- fragment --></div><!-- contents --> +</div><!-- doc-content --> +<div class="ttc" id="anamespacearmnn_html_a10d20c479436685e213150471a4a395b"><div class="ttname"><a href="namespacearmnn.html#a10d20c479436685e213150471a4a395b">armnn::GpuFsaCastValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaCastValidate(const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_cast_8cpp_source.html#l00033">GpuFsaCast.cpp:33</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ab912656f08118f8b81f8261b5e0dc3a9"><div class="ttname"><a href="namespacearmnn.html#ab912656f08118f8b81f8261b5e0dc3a9">armnn::GpuFsaBackendId</a></div><div class="ttdeci">constexpr const char * GpuFsaBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_id_8hpp_source.html#l00010">GpuFsaBackendId.hpp:10</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a945263e85c27f3216a8323cfc16d8919"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">armnn::TensorInfo::IsConstant</a></div><div class="ttdeci">bool IsConstant() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00509">Tensor.cpp:509</a></div></div> +<div class="ttc" id="astructarmnn_1_1_gpu_fsa_pre_compiled_blob_html_a479b90f0b24c427502d94b716117e034"><div class="ttname"><a href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a479b90f0b24c427502d94b716117e034">armnn::GpuFsaPreCompiledBlob::inputTensorInfos</a></div><div class="ttdeci">std::unique_ptr< std::vector< arm_compute::ITensorInfo * > > inputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00037">GpuFsaBackend.hpp:37</a></div></div> +<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div> +<div class="ttc" id="astructarmnn_1_1_gpu_fsa_pre_compiled_blob_html_a14f92a9f65e32c3da896e7b1d45abd02"><div class="ttname"><a href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a14f92a9f65e32c3da896e7b1d45abd02">armnn::GpuFsaPreCompiledBlob::sketch</a></div><div class="ttdeci">std::unique_ptr< arm_compute::experimental::dynamic_fusion::GpuWorkloadSketch > sketch</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00034">GpuFsaBackend.hpp:34</a></div></div> +<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div> +<div class="ttc" id="anamespacearmnn_html_aa2889978c1d194097838a2a0e671da60"><div class="ttname"><a href="namespacearmnn.html#aa2889978c1d194097838a2a0e671da60">armnn::GpuFsaCastCreateOp</a></div><div class="ttdeci">void GpuFsaCastCreateOp(GpuFsaPreCompiledBlob *blob, const TensorInfo &input, const TensorInfo &output)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_cast_8cpp_source.html#l00061">GpuFsaCast.cpp:61</a></div></div> +<div class="ttc" id="aclassarmnn_1_1_backend_capability_exception_html"><div class="ttname"><a href="classarmnn_1_1_backend_capability_exception.html">armnn::BackendCapabilityException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00152">Exceptions.hpp:152</a></div></div> +<div class="ttc" id="a_gpu_fsa_cast_8hpp_html"><div class="ttname"><a href="_gpu_fsa_cast_8hpp.html">GpuFsaCast.hpp</a></div></div> +<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> +<div class="ttc" id="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div> +<div class="ttc" id="astructarmnn_1_1_gpu_fsa_pre_compiled_blob_html_a255c9012137b149ffb46d83c23f2df43"><div class="ttname"><a href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a255c9012137b149ffb46d83c23f2df43">armnn::GpuFsaPreCompiledBlob::workloadContext</a></div><div class="ttdeci">std::shared_ptr< arm_compute::experimental::dynamic_fusion::GpuWorkloadContext > workloadContext</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00035">GpuFsaBackend.hpp:35</a></div></div> +<div class="ttc" id="astructarmnn_1_1_gpu_fsa_pre_compiled_blob_html"><div class="ttname"><a href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html">armnn::GpuFsaPreCompiledBlob</a></div><div class="ttdoc">A structure which contains all the elements needed to execute a fused workload in the GpuFsa Backend.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00032">GpuFsaBackend.hpp:32</a></div></div> +<div class="ttc" id="a_gpu_fsa_backend_id_8hpp_html"><div class="ttname"><a href="_gpu_fsa_backend_id_8hpp.html">GpuFsaBackendId.hpp</a></div></div> +<div class="ttc" id="astructarmnn_1_1_gpu_fsa_pre_compiled_blob_html_ac49bf679a23aa84f06a6bde3440a4c40"><div class="ttname"><a href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#ac49bf679a23aa84f06a6bde3440a4c40">armnn::GpuFsaPreCompiledBlob::outputTensorInfos</a></div><div class="ttdeci">std::unique_ptr< std::vector< arm_compute::ITensorInfo * > > outputTensorInfos</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_backend_8hpp_source.html#l00038">GpuFsaBackend.hpp:38</a></div></div> 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