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<div class="title">GpuFsaElementwiseBinary.cpp</div> </div>
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<a href="_gpu_fsa_elementwise_binary_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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<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>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_gpu_fsa_elementwise_binary_8hpp.html">GpuFsaElementwiseBinary.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160; </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;arm_compute/dynamic_fusion/sketch/gpu/operators/GpuAdd.h&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;arm_compute/dynamic_fusion/sketch/gpu/operators/GpuAdd.h&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;arm_compute/dynamic_fusion/sketch/gpu/operators/GpuMul.h&gt;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;arm_compute/dynamic_fusion/sketch/gpu/operators/GpuSub.h&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h&gt;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; </div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">using namespace </span>arm_compute::experimental::dynamic_fusion;</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">using namespace </span>armnn::armcomputetensorutils;</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; </div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; </div>
<div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="namespacearmnn.html#abd83d555d05a33057f9e80475522a631"> 24</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#abd83d555d05a33057f9e80475522a631">GpuFsaElementwiseBinaryValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html">ElementwiseBinaryDescriptor</a>&amp; descriptor)</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;{</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="comment">// Create a new workload sketch, for validation purposes</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">auto</span> compileCtx = arm_compute::CLKernelLibrary::get().get_compile_context();</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">auto</span> workloadContext = GpuWorkloadContext(&amp;compileCtx);</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; GpuWorkloadSketch sketch{ &amp;workloadContext };</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0, input0.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1, input1.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; aclInput0Info.set_are_values_constant(input0.<a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>());</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; aclInput1Info.set_are_values_constant(input1.<a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>());</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; </div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; arm_compute::ITensorInfo* inputInfo0 = workloadContext.create_tensor_info(aclInput0Info);</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; arm_compute::ITensorInfo* inputInfo1 = workloadContext.create_tensor_info(aclInput1Info);</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; </div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>)</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; {</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Add:</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">return</span> GpuAdd::validate_op(sketch, inputInfo0, inputInfo1);</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; }</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Mul:</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; {</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">return</span> GpuMul::validate_op(sketch, inputInfo0, inputInfo1);</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; }</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Sub:</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; {</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> GpuSub::validate_op(sketch, inputInfo0, inputInfo1);</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a>(arm_compute::ErrorCode::RUNTIME_ERROR,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; std::string(<span class="stringliteral">&quot;Elementwise Binary operation not supported in GpuFsa: &quot;</span>)</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; + <a class="code" href="namespacearmnn.html#aed346b74795fd613f727ca8369778704">GetBinaryOperationAsCString</a>(descriptor.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>));</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; }</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;}</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; </div>
<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ab9fda8f44398cd4c531c9ac136f2a1bf"> 63</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ab9fda8f44398cd4c531c9ac136f2a1bf">GpuFsaElementwiseBinaryCreateOp</a>(<a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html">GpuFsaPreCompiledBlob</a>* blob,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input0,</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input1,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html">ElementwiseBinaryDescriptor</a>&amp; descriptor)</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; GpuWorkloadSketch* sketch = blob-&gt;<a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a14f92a9f65e32c3da896e7b1d45abd02">sketch</a>.get();</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; GpuWorkloadContext* workloadContext = blob-&gt;<a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a255c9012137b149ffb46d83c23f2df43">workloadContext</a>.get();</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; std::vector&lt;arm_compute::ITensorInfo*&gt; inputTensorInfos = {};</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; std::vector&lt;arm_compute::ITensorInfo*&gt; outputTensorInfos = {};</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0, input0.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1, input1.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; aclInput0Info.set_are_values_constant(input0.<a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>());</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; aclInput1Info.set_are_values_constant(input1.<a class="code" href="classarmnn_1_1_tensor_info.html#a945263e85c27f3216a8323cfc16d8919">IsConstant</a>());</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; inputTensorInfos.emplace_back(workloadContext-&gt;create_tensor_info(aclInput0Info));</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; inputTensorInfos.emplace_back(workloadContext-&gt;create_tensor_info(aclInput1Info));</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="comment">// Validate operator, check status and update reasonIfUnsupported</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="comment">// Validate operator, check status and update reasonIfUnsupported</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> aclStatus{};</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>)</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; {</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Add:</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; {</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; aclStatus = GpuAdd::validate_op(*sketch, inputTensorInfos[0], inputTensorInfos[1]);</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; }</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Mul:</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; aclStatus = GpuMul::validate_op(*sketch, inputTensorInfos[0], inputTensorInfos[1]);</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; }</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Sub:</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; {</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; aclStatus = GpuSub::validate_op(*sketch, inputTensorInfos[0], inputTensorInfos[1]);</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; }</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(std::string(<span class="stringliteral">&quot;Elementwise Binary operation not supported in GpuFsa: &quot;</span>)</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; + <a class="code" href="namespacearmnn.html#aed346b74795fd613f727ca8369778704">GetBinaryOperationAsCString</a>(descriptor.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>));</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; }</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> supported = aclStatus.error_code() == arm_compute::ErrorCode::OK;</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">if</span> (!supported)</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; {</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_backend_capability_exception.html">BackendCapabilityException</a>(<span class="stringliteral">&quot;\&quot;GpuFsa\&quot; backend failed during elementwise binary add validation&quot;</span>);</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; }</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; arm_compute::ITensorInfo* elementwiseBinaryOutputInfo{};</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">switch</span> (descriptor.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>)</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; {</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Add:</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; elementwiseBinaryOutputInfo = GpuAdd::create_op(*sketch, inputTensorInfos[0], inputTensorInfos[1]);</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; }</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Mul:</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; {</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; elementwiseBinaryOutputInfo = GpuMul::create_op(*sketch, inputTensorInfos[0], inputTensorInfos[1]);</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordflow">case</span> BinaryOperation::Sub:</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; {</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; elementwiseBinaryOutputInfo = GpuSub::create_op(*sketch, inputTensorInfos[0], inputTensorInfos[1]);</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordflow">break</span>;</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; }</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">default</span>:</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(std::string(<span class="stringliteral">&quot;Elementwise Binary operation not supported in GpuFsa: &quot;</span>)</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; + <a class="code" href="namespacearmnn.html#aed346b74795fd613f727ca8369778704">GetBinaryOperationAsCString</a>(descriptor.<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a>));</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; }</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; </div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <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="l00137"></a><span class="lineno"> 137</span>&#160; outputTensorInfos.emplace_back(workloadContext-&gt;create_tensor_info());</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; GpuOutput::create_op(*sketch, elementwiseBinaryOutputInfo, outputTensorInfos[0]);</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; </div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="comment">// Store the TensorInfos within the blob as unique_ptrs to be used later</span></div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; blob-&gt;<a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#a479b90f0b24c427502d94b716117e034">inputTensorInfos</a> = std::make_unique&lt;std::vector&lt;arm_compute::ITensorInfo*&gt;&gt;(inputTensorInfos);</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; blob-&gt;<a class="code" href="structarmnn_1_1_gpu_fsa_pre_compiled_blob.html#ac49bf679a23aa84f06a6bde3440a4c40">outputTensorInfos</a> = std::make_unique&lt;std::vector&lt;arm_compute::ITensorInfo*&gt;&gt;(outputTensorInfos);</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;}</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; </div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;} <span class="comment">// namespace armnn</span></div>
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<div class="ttc" id="anamespacearmnn_html_aed346b74795fd613f727ca8369778704"><div class="ttname"><a href="namespacearmnn.html#aed346b74795fd613f727ca8369778704">armnn::GetBinaryOperationAsCString</a></div><div class="ttdeci">constexpr char const * GetBinaryOperationAsCString(BinaryOperation operation)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00076">TypesUtils.hpp:76</a></div></div>
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<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&lt; std::vector&lt; arm_compute::ITensorInfo * &gt; &gt; 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="astructarmnn_1_1_elementwise_binary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.html">armnn::ElementwiseBinaryDescriptor</a></div><div class="ttdoc">A ElementwiseBinaryDescriptor for the ElementwiseBinaryLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00109">Descriptors.hpp:109</a></div></div>
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<div class="ttc" id="astructarmnn_1_1_elementwise_binary_descriptor_html_a7e4ece533ef2cb0f251e11c47a17371c"><div class="ttname"><a href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">armnn::ElementwiseBinaryDescriptor::m_Operation</a></div><div class="ttdeci">BinaryOperation m_Operation</div><div class="ttdoc">Specifies the elementwiseBinary operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00125">Descriptors.hpp:125</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&lt; arm_compute::experimental::dynamic_fusion::GpuWorkloadContext &gt; 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="anamespacearmnn_html_abd83d555d05a33057f9e80475522a631"><div class="ttname"><a href="namespacearmnn.html#abd83d555d05a33057f9e80475522a631">armnn::GpuFsaElementwiseBinaryValidate</a></div><div class="ttdeci">arm_compute::Status GpuFsaElementwiseBinaryValidate(const TensorInfo &amp;input0, const TensorInfo &amp;input1, const ElementwiseBinaryDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_elementwise_binary_8cpp_source.html#l00024">GpuFsaElementwiseBinary.cpp:24</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="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&lt; std::vector&lt; arm_compute::ITensorInfo * &gt; &gt; 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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