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<div class="title">GpuFsaWorkloadFactory.cpp</div> </div>
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<a href="_gpu_fsa_workload_factory_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 © 2022-2024 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 &lt;<a class="code" href="_layer_8hpp.html">Layer.hpp</a>&gt;</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 &quot;<a class="code" href="_gpu_fsa_workload_factory_8hpp.html">GpuFsaWorkloadFactory.hpp</a>&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_gpu_fsa_backend_id_8hpp.html">GpuFsaBackendId.hpp</a>&quot;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_gpu_fsa_tensor_handle_8hpp.html">GpuFsaTensorHandle.hpp</a>&quot;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160; </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_gpu_fsa_constant_workload_8hpp.html">workloads/GpuFsaConstantWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_gpu_fsa_pre_compiled_workload_8hpp.html">workloads/GpuFsaPreCompiledWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_mem_copy_workload_8hpp.html">armnn/backends/MemCopyWorkload.hpp</a>&gt;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;{</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">static</span> <span class="keyword">const</span> BackendId s_Id{<a class="code" href="namespacearmnn.html#ab912656f08118f8b81f8261b5e0dc3a9">GpuFsaBackendId</a>()};</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"> 24</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> QueueDescriptorType&gt;</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;std::unique_ptr&lt;IWorkload&gt; GpuFsaWorkloadFactory::MakeWorkload(<span class="keyword">const</span> QueueDescriptorType&amp; <span class="comment">/*descriptor*/</span>,</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> WorkloadInfo&amp; <span class="comment">/*info*/</span>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;}</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="keyword">template</span> &lt;DataType ArmnnType&gt;</div>
<div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a44a0b2291c5e7a1e5b6c32f613ef52f6"> 32</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="namespacearmnn.html#a44a0b2291c5e7a1e5b6c32f613ef52f6">IsDataType</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info)</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;{</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keyword">auto</span> checkType = [](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo) {<span class="keywordflow">return</span> tensorInfo.GetDataType() == ArmnnType;};</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keyword">auto</span> it = std::find_if(std::begin(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos), std::end(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos), checkType);</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordflow">if</span> (it != std::end(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos))</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; {</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; }</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; it = std::find_if(std::begin(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos), std::end(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos), checkType);</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">if</span> (it != std::end(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos))</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; }</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;}</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"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a953af2bf56c098c0091e6fcded570181"> 48</a></span>&#160;<a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a46a240c3db81b430bf63ba297d29ba16">GpuFsaWorkloadFactory::GpuFsaWorkloadFactory</a>(<span class="keyword">const</span> std::shared_ptr&lt;GpuFsaMemoryManager&gt;&amp; memoryManager)</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; : m_MemoryManager(memoryManager)</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;{</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#ab39a3049bfb85aa489a809d77f3ec1e0">InitializeCLCompileContext</a>();</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;}</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"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a46a240c3db81b430bf63ba297d29ba16"> 54</a></span>&#160;<a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a46a240c3db81b430bf63ba297d29ba16">GpuFsaWorkloadFactory::GpuFsaWorkloadFactory</a>()</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; : m_MemoryManager(new <a class="code" href="classarmnn_1_1_gpu_fsa_memory_manager.html">GpuFsaMemoryManager</a>())</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;{</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#ab39a3049bfb85aa489a809d77f3ec1e0">InitializeCLCompileContext</a>();</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;}</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#ae2cd7e29596b68884bfaade25f8f0dc0"> 60</a></span>&#160;<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a>&amp; <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#ae2cd7e29596b68884bfaade25f8f0dc0">GpuFsaWorkloadFactory::GetBackendId</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordflow">return</span> s_Id;</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;}</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; </div>
<div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae"> 65</a></span>&#160;<span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae">GpuFsaWorkloadFactory::IsLayerSupported</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer,</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;DataType&gt;</a> dataType,</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; std::string&amp; outReasonIfUnsupported)</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;{</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">IWorkloadFactory::IsLayerSupported</a>(s_Id, layer, dataType, outReasonIfUnsupported);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;}</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
<div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76"> 72</a></span>&#160;std::unique_ptr&lt;ITensorHandle&gt; <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">GpuFsaWorkloadFactory::CreateTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo,</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> <span class="comment">/*isMemoryManaged*/</span>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; std::unique_ptr&lt;GpuFsaTensorHandle&gt; tensorHandle = std::make_unique&lt;GpuFsaTensorHandle&gt;(tensorInfo);</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; tensorHandle-&gt;SetMemoryGroup(m_MemoryManager-&gt;GetInterLayerMemoryGroup());</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keywordflow">return</span> tensorHandle;</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;}</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; </div>
<div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#aaed323bbcbaded57334783e4732ee3ed"> 81</a></span>&#160;std::unique_ptr&lt;ITensorHandle&gt; <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">GpuFsaWorkloadFactory::CreateTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo,</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a> dataLayout,</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">const</span> <span class="keywordtype">bool</span> <span class="comment">/*isMemoryManaged*/</span>)<span class="keyword"> const</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; std::unique_ptr&lt;GpuFsaTensorHandle&gt; tensorHandle = std::make_unique&lt;GpuFsaTensorHandle&gt;(tensorInfo, dataLayout);</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; tensorHandle-&gt;SetMemoryGroup(m_MemoryManager-&gt;GetInterLayerMemoryGroup());</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; </div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">return</span> tensorHandle;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;}</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; </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"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#ab39a3049bfb85aa489a809d77f3ec1e0"> 92</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#ab39a3049bfb85aa489a809d77f3ec1e0">GpuFsaWorkloadFactory::InitializeCLCompileContext</a>() {</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="comment">// Initialize our m_CLCompileContext using default device and context</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">auto</span> context = arm_compute::CLKernelLibrary::get().context();</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keyword">auto</span> device = arm_compute::CLKernelLibrary::get().get_device();</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; m_CLCompileContext = arm_compute::CLCompileContext(context, device);</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;}</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"><a class="line" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6"> 99</a></span>&#160;std::unique_ptr&lt;IWorkload&gt; <a class="code" href="classarmnn_1_1_gpu_fsa_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6">GpuFsaWorkloadFactory::CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a> type,</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_queue_descriptor.html">QueueDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info)<span class="keyword"> const</span></div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">switch</span>(type)</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">LayerType::Constant</a> :</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">auto</span> constQueueDescriptor = PolymorphicDowncast&lt;const ConstantQueueDescriptor*&gt;(&amp;descriptor);</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaConstantWorkload&gt;(*constQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, m_CLCompileContext);</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">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">LayerType::Input</a> :</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; <span class="keyword">auto</span> inputQueueDescriptor = PolymorphicDowncast&lt;const InputQueueDescriptor*&gt;(&amp;descriptor);</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;CopyMemGenericWorkload&gt;(*inputQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; }</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">LayerType::Output</a> :</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; {</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keyword">auto</span> outputQueueDescriptor = PolymorphicDowncast&lt;const OutputQueueDescriptor*&gt;(&amp;descriptor);</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;CopyMemGenericWorkload&gt;(*outputQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; }</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">LayerType::MemCopy</a> :</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; {</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keyword">auto</span> memCopyQueueDescriptor = PolymorphicDowncast&lt;const MemCopyQueueDescriptor*&gt;(&amp;descriptor);</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span> (memCopyQueueDescriptor-&gt;m_Inputs.empty() || !memCopyQueueDescriptor-&gt;m_Inputs[0])</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;GpuFsaWorkloadFactory: Invalid null input for MemCopy workload&quot;</span>);</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; }</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;CopyMemGenericWorkload&gt;(*memCopyQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; }</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">LayerType::PreCompiled</a> :</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="keyword">auto</span> precompiledQueueDescriptor = PolymorphicDowncast&lt;const PreCompiledQueueDescriptor*&gt;(&amp;descriptor);</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;GpuFsaPreCompiledWorkload&gt;(*precompiledQueueDescriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; }</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; default :</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; }</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;}</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; </div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;} <span class="comment">// namespace armnn</span></div>
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<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a44a0b2291c5e7a1e5b6c32f613ef52f6"><div class="ttname"><a href="namespacearmnn.html#a44a0b2291c5e7a1e5b6c32f613ef52f6">armnn::IsDataType</a></div><div class="ttdeci">bool IsDataType(const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_workload_factory_8cpp_source.html#l00032">GpuFsaWorkloadFactory.cpp:32</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_workload_factory_html_a9992ea7c353e8597fbd8ae426f4612ae"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_workload_factory.html#a9992ea7c353e8597fbd8ae426f4612ae">armnn::GpuFsaWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const Layer &amp;layer, Optional&lt; DataType &gt; dataType, std::string &amp;outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_workload_factory_8cpp_source.html#l00065">GpuFsaWorkloadFactory.cpp:65</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_workload_factory_html_a46a240c3db81b430bf63ba297d29ba16"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_workload_factory.html#a46a240c3db81b430bf63ba297d29ba16">armnn::GpuFsaWorkloadFactory::GpuFsaWorkloadFactory</a></div><div class="ttdeci">GpuFsaWorkloadFactory()</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_workload_factory_8cpp_source.html#l00054">GpuFsaWorkloadFactory.cpp:54</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_gpu_fsa_workload_factory_html_a7239477811c44d4398f0c2d291d9ea76"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_workload_factory.html#a7239477811c44d4398f0c2d291d9ea76">armnn::GpuFsaWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_workload_factory_8cpp_source.html#l00072">GpuFsaWorkloadFactory.cpp:72</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_gpu_fsa_workload_factory_html_ab39a3049bfb85aa489a809d77f3ec1e0"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_workload_factory.html#ab39a3049bfb85aa489a809d77f3ec1e0">armnn::GpuFsaWorkloadFactory::InitializeCLCompileContext</a></div><div class="ttdeci">void InitializeCLCompileContext()</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_workload_factory_8cpp_source.html#l00092">GpuFsaWorkloadFactory.cpp:92</a></div></div>
<div class="ttc" id="a_gpu_fsa_tensor_handle_8hpp_html"><div class="ttname"><a href="_gpu_fsa_tensor_handle_8hpp.html">GpuFsaTensorHandle.hpp</a></div></div>
<div class="ttc" id="a_gpu_fsa_constant_workload_8hpp_html"><div class="ttname"><a href="_gpu_fsa_constant_workload_8hpp.html">GpuFsaConstantWorkload.hpp</a></div></div>
<div class="ttc" id="a_gpu_fsa_workload_factory_8hpp_html"><div class="ttname"><a href="_gpu_fsa_workload_factory_8hpp.html">GpuFsaWorkloadFactory.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00230">Layer.hpp:230</a></div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html">armnn::QueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00024">WorkloadData.hpp:24</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a74dc9ec1a223eab8b072368b2dacee87"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a74dc9ec1a223eab8b072368b2dacee87">armnn::IWorkloadFactory::IsLayerSupported</a></div><div class="ttdeci">static bool IsLayerSupported(const BackendId &amp;backendId, const IConnectableLayer &amp;layer, Optional&lt; DataType &gt; dataType, std::string &amp;outReasonIfUnsupported)</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01614">WorkloadFactory.cpp:1614</a></div></div>
<div class="ttc" id="a_mem_copy_workload_8hpp_html"><div class="ttname"><a href="_mem_copy_workload_8hpp.html">MemCopyWorkload.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a1ba143ebe524d46181a4b53470693278">armnn::LayerType::PreCompiled</a></div><div class="ttdeci">@ PreCompiled</div></div>
<div class="ttc" id="aclassarmnn_1_1_backend_id_html"><div class="ttname"><a href="classarmnn_1_1_backend_id.html">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00075">BackendId.hpp:75</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a4dd48794eb3305a0f5aece88b111a97b">armnn::LayerType::MemCopy</a></div><div class="ttdeci">@ MemCopy</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_layer_8hpp_html"><div class="ttname"><a href="_layer_8hpp.html">Layer.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_memory_manager_html"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_memory_manager.html">armnn::GpuFsaMemoryManager</a></div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_memory_manager_8hpp_source.html#l00016">GpuFsaMemoryManager.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_workload_factory_html_ae2cd7e29596b68884bfaade25f8f0dc0"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_workload_factory.html#ae2cd7e29596b68884bfaade25f8f0dc0">armnn::GpuFsaWorkloadFactory::GetBackendId</a></div><div class="ttdeci">const BackendId &amp; GetBackendId() const override</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_workload_factory_8cpp_source.html#l00060">GpuFsaWorkloadFactory.cpp:60</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div><div class="ttdeci">@ Input</div></div>
<div class="ttc" id="a_gpu_fsa_pre_compiled_workload_8hpp_html"><div class="ttname"><a href="_gpu_fsa_pre_compiled_workload_8hpp.html">GpuFsaPreCompiledWorkload.hpp</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="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_gpu_fsa_workload_factory_html_a739bcc341b89c98a5d38717370ebcaa6"><div class="ttname"><a href="classarmnn_1_1_gpu_fsa_workload_factory.html#a739bcc341b89c98a5d38717370ebcaa6">armnn::GpuFsaWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">std::unique_ptr&lt; IWorkload &gt; CreateWorkload(LayerType type, const QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const override</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div><div class="ttdef"><b>Definition:</b> <a href="_gpu_fsa_workload_factory_8cpp_source.html#l00099">GpuFsaWorkloadFactory.cpp:99</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div><div class="ttdeci">@ Output</div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
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