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| <div class="title">NeonBackend.cpp</div> </div> |
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| <a href="_neon_backend_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 © 2017-2023 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="_neon_backend_8hpp.html">NeonBackend.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_neon_backend_id_8hpp.html">NeonBackendId.hpp</a>"</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_neon_backend_model_context_8hpp.html">NeonBackendModelContext.hpp</a>"</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include "<a class="code" href="_neon_workload_factory_8hpp.html">NeonWorkloadFactory.hpp</a>"</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "<a class="code" href="_neon_layer_support_8hpp.html">NeonLayerSupport.hpp</a>"</span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "<a class="code" href="_neon_tensor_handle_factory_8hpp.html">NeonTensorHandleFactory.hpp</a>"</span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "<a class="code" href="_neon_backend_optimization_utils_8hpp.html">NeonBackendOptimizationUtils.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="_backend_registry_8hpp.html">armnn/BackendRegistry.hpp</a>></span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_descriptors_8hpp.html">armnn/Descriptors.hpp</a>></span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_subgraph_utils_8hpp.html">aclCommon/ArmComputeSubgraphUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_base_memory_manager_8hpp.html">aclCommon/BaseMemoryManager.hpp</a>></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="preprocessor">#include <<a class="code" href="_i_backend_context_8hpp.html">armnn/backends/IBackendContext.hpp</a>></span></div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <<a class="code" href="_i_memory_manager_8hpp.html">armnn/backends/IMemoryManager.hpp</a>></span></div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  </div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>></span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <<a class="code" href="_neon_addition_workload_8hpp.html">neon/workloads/NeonAdditionWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <<a class="code" href="_neon_batch_normalization_workload_8hpp.html">neon/workloads/NeonBatchNormalizationWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <<a class="code" href="_neon_convolution2d_workload_8hpp.html">neon/workloads/NeonConvolution2dWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <<a class="code" href="_neon_depthwise_convolution_workload_8hpp.html">neon/workloads/NeonDepthwiseConvolutionWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include <<a class="code" href="_neon_division_workload_8hpp.html">neon/workloads/NeonDivisionWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include <<a class="code" href="_neon_fully_connected_workload_8hpp.html">neon/workloads/NeonFullyConnectedWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <<a class="code" href="_neon_fused_workload_8hpp.html">neon/workloads/NeonFusedWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <<a class="code" href="_neon_multiplication_workload_8hpp.html">neon/workloads/NeonMultiplicationWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <<a class="code" href="_neon_reduce_workload_8hpp.html">neon/workloads/NeonReduceWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <<a class="code" href="_neon_subtraction_workload_8hpp.html">neon/workloads/NeonSubtractionWorkload.hpp</a>></span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include <<a class="code" href="_default_allocator_8hpp.html">backendsCommon/DefaultAllocator.hpp</a>></span></div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <<a class="code" href="_optimizer_8hpp.html">Optimizer.hpp</a>></span></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> <span class="preprocessor">#include <arm_compute/core/Types.h></span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include <arm_compute/runtime/Allocator.h></span></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> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div> |
| <div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8"> 46</a></span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a>& <a class="code" href="classarmnn_1_1_neon_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">NeonBackend::GetIdStatic</a>()</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>  <span class="keyword">static</span> <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_backend_id.html">BackendId</a> s_Id{<a class="code" href="namespacearmnn.html#a3a34a305e5187f3a3c67030d3bebbdb0">NeonBackendId</a>()};</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> s_Id;</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div> |
| <div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a93fcb3bff141d8c77b53466a44b58eee"> 52</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">IBackendInternal::IMemoryManagerUniquePtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a93fcb3bff141d8c77b53466a44b58eee">NeonBackend::CreateMemoryManager</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">return</span> std::make_unique<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</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>  </div> |
| <div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a8e19e275c8162e34e6d8d10a9245dbc9"> 58</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</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>  </div> |
| <div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a19441d1c63ca23efb8d4305933bcb712"> 65</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</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>  </div> |
| <div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#afb0e4b4255c996c68fe87e3c13451a43"> 72</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">class</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& tensorHandleFactoryRegistry)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#a958ab0c60b6bfdfba5cc075211edec37">RegisterMemoryManager</a>(memoryManager);</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="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="comment">// Register copy and import factory pair</span></div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#afae069d084e8541c8970d17d26011ac6">RegisterCopyAndImportFactoryPair</a>(factory->GetId(), factory->GetId());</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Register the factory</span></div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#a05f82bd846630bb3aa8afe22ef6f15fc">RegisterFactory</a>(std::move(factory));</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager));</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  </div> |
| <div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a95c304f397c4ef9f0108834e16631219"> 91</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">IBackendInternal::IWorkloadFactoryPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a8e19e275c8162e34e6d8d10a9245dbc9">NeonBackend::CreateWorkloadFactory</a>(</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& tensorHandleFactoryRegistry, <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  </div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#a958ab0c60b6bfdfba5cc075211edec37">RegisterMemoryManager</a>(memoryManager);</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  </div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Register copy and import factory pair</span></div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#afae069d084e8541c8970d17d26011ac6">RegisterCopyAndImportFactoryPair</a>(factory->GetId(), factory->GetId());</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Register the factory</span></div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  tensorHandleFactoryRegistry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#a05f82bd846630bb3aa8afe22ef6f15fc">RegisterFactory</a>(std::move(factory));</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">return</span> std::make_unique<NeonWorkloadFactory>(</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  PolymorphicPointerDowncast<NeonMemoryManager>(memoryManager), <a class="code" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions));</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span> }</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  </div> |
| <div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a801cf3170dc777aca3e6f926d1bd70a5"> 109</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendInternal::IBackendContextPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a801cf3170dc777aca3e6f926d1bd70a5">NeonBackend::CreateBackendContext</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a>&)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">IBackendContextPtr</a>{};</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div> |
| <div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a68c2ef244261cc9649799284774af132"> 114</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendInternal::IBackendProfilingContextPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a68c2ef244261cc9649799284774af132">NeonBackend::CreateBackendProfilingContext</a>(</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a>&, <a class="code" href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">IBackendProfilingPtr</a>&)</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> {</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">IBackendProfilingContextPtr</a>{};</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  </div> |
| <div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b"> 120</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">NeonBackend::CreateBackendSpecificModelContext</a>(</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendSpecificModelContextPtr</a>{<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_neon_backend_model_context.html">NeonBackendModelContext</a>{modelOptions}};</div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  </div> |
| <div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a93d4285a3ea5e4e3b35578484d889daa"> 126</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a93d4285a3ea5e4e3b35578484d889daa">NeonBackend::GetLayerSupport</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">new</span> <a class="code" href="classarmnn_1_1_neon_layer_support.html">NeonLayerSupport</a>(<a class="code" href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">IBackendInternal::IBackendSpecificModelContextPtr</a>{})</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  };</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">return</span> layerSupport;</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span> }</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  </div> |
| <div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a9e458b98037dbb048877d0fc3fdbd17d"> 135</a></span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">IBackendInternal::ILayerSupportSharedPtr</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a93d4285a3ea5e4e3b35578484d889daa">NeonBackend::GetLayerSupport</a>(<span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">ILayerSupportSharedPtr</a> layerSupport</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  {</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">new</span> <a class="code" href="classarmnn_1_1_neon_layer_support.html">NeonLayerSupport</a>(<a class="code" href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">CreateBackendSpecificModelContext</a>(modelOptions))</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  };</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">return</span> layerSupport;</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div> |
| <div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a339efc194a1738cd93fcdde4d948a5cd"> 144</a></span> <a class="code" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a> <a class="code" href="classarmnn_1_1_neon_backend.html#a339efc194a1738cd93fcdde4d948a5cd">NeonBackend::OptimizeSubgraphView</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a>& subgraph,</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">ModelOptions</a>& modelOptions)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarmnn_1_1_optimization_views.html">OptimizationViews</a> optimizationViews(modelOptions);</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  </div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">auto</span> it = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.html#afc40490fb4f488bd2a211e81c06a6971">end</a>();</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  std::map<LayerGuid, Layer*> untouched;</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  </div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">while</span> (it != subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.html#ad2570202bb366163f8b4660bfe78c49d">begin</a>())</div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  --it;</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& base = *(PolymorphicDowncast<Layer*>(*it));</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  untouched.insert({base.<a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>(), &base});</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  </div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  it = subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.html#afc40490fb4f488bd2a211e81c06a6971">end</a>();</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">while</span> (it != subgraph.<a class="code" href="classarmnn_1_1_subgraph_view.html#ad2570202bb366163f8b4660bfe78c49d">begin</a>())</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  {</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  --it;</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& base = *(PolymorphicDowncast<Layer*>(*it));</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="comment">// Fuse activation into previous layer if supported by backend</span></div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">if</span> ((base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a> || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a></div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a> || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a></div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a> || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a></div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a> || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a></div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  || base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  && (base.<a class="code" href="classarmnn_1_1_layer.html#aefb14147290b6b928c5fc924ba035acc">GetAdditionalInformation</a><<a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>>() == <span class="keyword">nullptr</span>))</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> output = base.<a class="code" href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>(); output != base.<a class="code" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a>(); ++output)</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">if</span> (output->GetNumConnections() == 1)</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  {</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& childInput : output->GetConnections())</div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">if</span> ((childInput->GetOwningLayer().GetType() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">LayerType::Activation</a>) &&</div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  (checkDataTypeInputandOutput(childInput->GetOwningLayer())))</div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  {</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& child = childInput->GetOwningLayer();</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  </div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keyword">auto</span>* activationLayer = PolymorphicDowncast<ActivationLayer*>(&child);</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"fused-"</span>) + child.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>() + std::string(<span class="stringliteral">"-into-"</span>) +</div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  base.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>();</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  </div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="comment">// Get params from activation layer</span></div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a> activationDesc = activationLayer->GetParameters();</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">LayerType::Convolution2d</a>)</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  {</div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarmnn_1_1_convolution2d_layer.html">Convolution2dLayer</a>* baseLayer = PolymorphicDowncast<Convolution2dLayer*>(&base);</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  </div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a> biases;</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  </div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().<a class="code" href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  biases = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  </div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a45691b0c4a46c239b4986cfed95de13b">NeonConvolution2dWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(),</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  biases,</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">false</span>,</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  &activationDesc);</div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  </div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  FuseConvolution2dLayer<Convolution2dLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  baseLayer,</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  activationLayer,</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  activationDesc,</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  name);</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  }</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">LayerType::DepthwiseConvolution2d</a>)</div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarmnn_1_1_depthwise_convolution2d_layer.html">DepthwiseConvolution2dLayer</a>* baseLayer =</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  PolymorphicDowncast<DepthwiseConvolution2dLayer*>(&base);</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  </div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a> biases;</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  </div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().<a class="code" href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  {</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  biases = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  </div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a63d684b26fb838b22123490d780bce08">NeonDepthwiseConvolutionWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(),</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  biases,</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  &activationDesc);</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  </div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  {</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  FuseDepthwiseConvolution2dLayer<DepthwiseConvolution2dLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  baseLayer,</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  activationLayer,</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  activationDesc,</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  name);</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  }</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">LayerType::FullyConnected</a>)</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  {</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="classarmnn_1_1_fully_connected_layer.html">FullyConnectedLayer</a>* baseLayer = PolymorphicDowncast<FullyConnectedLayer*>(&base);</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="structarmnn_1_1_fully_connected_descriptor.html">FullyConnectedDescriptor</a> descriptor = baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>();</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  </div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// As bias is optional only try to get TensorInfo from input if bias is enabled.</span></div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="classarmnn_1_1_optional.html">Optional<TensorInfo></a> biases;</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">if</span> (descriptor.<a class="code" href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  biases = baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(2).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>();</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  </div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ae455144d3472c502b636697f4775400c">NeonFullyConnectedWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  biases,</div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(),</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  &activationDesc);</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  </div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  {</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  FuseFullyConnectedLayer<FullyConnectedLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  baseLayer,</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  activationLayer,</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  activationDesc,</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  name);</div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  }</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>)</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_batch_normalization_layer.html">BatchNormalizationLayer</a>* baseLayer =</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  PolymorphicDowncast<BatchNormalizationLayer*>(&base);</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  </div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ac1be1c9a317b23b5684c83af59fb2c96">NeonBatchNormalizationValidate</a>(</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a>->GetTensorInfo(),</div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</a>->GetTensorInfo(),</div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a>->GetTensorInfo(),</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a>->GetTensorInfo(),</div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(),</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  &activationDesc);</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  </div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  {</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classarmnn_1_1_batch_normalization_layer.html">BatchNormalizationLayer</a>* replacementLayer =</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  FuseBatchNormalizationLayer<BatchNormalizationLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  baseLayer,</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  activationLayer,</div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  activationDesc,</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  name);</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  </div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a> = std::move(baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a>);</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a> = std::move(baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a>);</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a> = std::move(baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a>);</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  replacementLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</a> = std::move(baseLayer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</a>);</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">LayerType::Addition</a>)</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  {</div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <a class="code" href="classarmnn_1_1_addition_layer.html">AdditionLayer</a>* baseLayer = PolymorphicDowncast<AdditionLayer*>(&base);</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  </div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a1b03e82a1a53b686aedea3734b2fb957">NeonAdditionWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  &activationDesc);</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  </div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  FuseAdditionLayer<AdditionLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  baseLayer,</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  activationLayer,</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  activationDesc,</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  name);</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  }</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">LayerType::Division</a>)</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="classarmnn_1_1_division_layer.html">DivisionLayer</a>* baseLayer = PolymorphicDowncast<DivisionLayer*>(&base);</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  </div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a65c912bfcf02b3096f36caf21fa175d0">NeonDivisionWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  &activationDesc);</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  </div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  {</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  FuseDivisionLayer<DivisionLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  baseLayer,</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  activationLayer,</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  activationDesc,</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  name);</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  }</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  }</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">LayerType::Multiplication</a>)</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  {</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <a class="code" href="classarmnn_1_1_multiplication_layer.html">MultiplicationLayer</a>* baseLayer = PolymorphicDowncast<MultiplicationLayer*>(&base);</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  </div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ad512520e809bfed4fbd3db9fbc241263">NeonMultiplicationWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  &activationDesc);</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  </div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  {</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  FuseMultiplicationLayer<MultiplicationLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  baseLayer,</div> |
| <div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  activationLayer,</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  activationDesc,</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  name);</div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  }</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  }</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">LayerType::Subtraction</a>)</div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="classarmnn_1_1_subtraction_layer.html">SubtractionLayer</a>* baseLayer = PolymorphicDowncast<SubtractionLayer*>(&base);</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  </div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#abc968e1323027f9e42cbc7642800d5ce">NeonSubtractionWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  &activationDesc);</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  </div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  {</div> |
| <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  FuseSubtractionLayer<SubtractionLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  baseLayer,</div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  activationLayer,</div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  activationDesc,</div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  name);</div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  }</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  }</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">LayerType::ElementwiseBinary</a>)</div> |
| <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  {</div> |
| <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <a class="code" href="classarmnn_1_1_elementwise_binary_layer.html">ElementwiseBinaryLayer</a>* baseLayer = PolymorphicDowncast<ElementwiseBinaryLayer*>(&base);</div> |
| <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  </div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a> == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>)</div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  {</div> |
| <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a1b03e82a1a53b686aedea3734b2fb957">NeonAdditionWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  &activationDesc);</div> |
| <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  </div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  {</div> |
| <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  baseLayer,</div> |
| <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  activationLayer,</div> |
| <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  activationDesc,</div> |
| <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>,</div> |
| <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  name);</div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  }</div> |
| <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  }</div> |
| <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a> == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>)</div> |
| <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  {</div> |
| <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#a65c912bfcf02b3096f36caf21fa175d0">NeonDivisionWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  &activationDesc);</div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  </div> |
| <div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  {</div> |
| <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  baseLayer,</div> |
| <div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  activationLayer,</div> |
| <div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  activationDesc,</div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">BinaryOperation::Div</a>,</div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  name);</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  }</div> |
| <div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  }</div> |
| <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a> == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>)</div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  {</div> |
| <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#ad512520e809bfed4fbd3db9fbc241263">NeonMultiplicationWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  &activationDesc);</div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  </div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  {</div> |
| <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  baseLayer,</div> |
| <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  activationLayer,</div> |
| <div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  activationDesc,</div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>,</div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  name);</div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().<a class="code" href="structarmnn_1_1_elementwise_binary_descriptor.html#a7e4ece533ef2cb0f251e11c47a17371c">m_Operation</a> == <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>)</div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  {</div> |
| <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#abc968e1323027f9e42cbc7642800d5ce">NeonSubtractionWorkloadValidate</a>(</div> |
| <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  baseLayer-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1).<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>(),</div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  activationLayer->GetInputSlot(0).GetConnectedOutputSlot()->GetTensorInfo(),</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  &activationDesc);</div> |
| <div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  </div> |
| <div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  {</div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  FuseElementwiseBinaryLayer<ElementwiseBinaryLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  baseLayer,</div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  activationLayer,</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  activationDesc,</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">BinaryOperation::Sub</a>,</div> |
| <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  name);</div> |
| <div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  untouched.erase(activationLayer->GetGuid());</div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div> |
| <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  }</div> |
| <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="comment">// No fusion available for other BinaryOperations</span></div> |
| <div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div> |
| <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div> |
| <div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  }</div> |
| <div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div> |
| <div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  }</div> |
| <div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div> |
| <div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  </div> |
| <div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="comment">// Separate reduce layer with multiple axes into multiple reduce layers with 1 axis.</span></div> |
| <div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">LayerType::Reduce</a>)</div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  {</div> |
| <div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <a class="code" href="classarmnn_1_1_reduce_layer.html">ReduceLayer</a>* baseLayer = PolymorphicDowncast<ReduceLayer*>(&base);</div> |
| <div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="structarmnn_1_1_reduce_descriptor.html">ReduceDescriptor</a> reduceDescriptor = baseLayer-><a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>();</div> |
| <div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  </div> |
| <div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">if</span> (!reduceDescriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.empty() && reduceDescriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.size() > 1)</div> |
| <div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  {</div> |
| <div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="comment">// Add new layers to the graph and connect them.</span></div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  std::vector<IConnectableLayer*> layers = ChainReduceLayers<ReduceLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  baseLayer,</div> |
| <div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  reduceDescriptor);</div> |
| <div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  </div> |
| <div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="comment">// Replace existing baselayer with new subgraph.</span></div> |
| <div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  ReplaceLayers<ReduceLayer>(optimizationViews, baseLayer, layers);</div> |
| <div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  untouched.erase(baseLayer-><a class="code" href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">GetGuid</a>());</div> |
| <div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  }</div> |
| <div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  }</div> |
| <div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  </div> |
| <div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="comment">// Remove Reshape where possible</span></div> |
| <div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">if</span> (base.<a class="code" href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">LayerType::Reshape</a>)</div> |
| <div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div> |
| <div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="classarmnn_1_1_reshape_layer.html">ReshapeLayer</a>* baseLayer = PolymorphicDowncast<ReshapeLayer*>(&base);</div> |
| <div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  </div> |
| <div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="comment">// Cannot remove a Reshape if it's connected to any layer that has an NCHW layout</span></div> |
| <div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">ConnectedToLayerWithNCHW</a>(baseLayer))</div> |
| <div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  {</div> |
| <div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">continue</span>;</div> |
| <div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</div> |
| <div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">RemoveReshapeLayer</a>(baseLayer, untouched, optimizationViews);</div> |
| <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div> |
| <div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  </div> |
| <div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  <span class="comment">// Replace Add/Mul/Add where possible</span></div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>* layerList[4] = {<span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>, <span class="keyword">nullptr</span>};</div> |
| <div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">const</span> std::vector<ActivationFunction> validActivates = { <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">ActivationFunction::ReLu</a>,</div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">ActivationFunction::BoundedReLu</a> };</div> |
| <div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">if</span> (IsLayerSequence<BinaryOperation>(base,</div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>, <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">BinaryOperation::Mul</a>, <a class="code" href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">BinaryOperation::Add</a>,</div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  layerList,</div> |
| <div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keyword">true</span>, <span class="comment">// handleValidActivates</span></div> |
| <div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  validActivates))</div> |
| <div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  {</div> |
| <div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  <span class="keywordtype">bool</span> fuseReLu = <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs = 0;</div> |
| <div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputs = 0;</div> |
| <div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  std::vector<TensorInfo> inputInfos;</div> |
| <div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  std::vector<TensorInfo> outputInfos;</div> |
| <div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>* activationDescriptor = <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  </div> |
| <div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  <span class="keywordflow">if</span> (BuildAddMulAddTensorInfoLists<Layer>(layerList,</div> |
| <div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  numInputs,</div> |
| <div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  numOutputs,</div> |
| <div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  inputInfos,</div> |
| <div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  outputInfos,</div> |
| <div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  activationDescriptor,</div> |
| <div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  fuseReLu))</div> |
| <div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  {</div> |
| <div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="comment">// Create the new Add/Mul/Add layer and set the Relu activation function</span></div> |
| <div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="structarmnn_1_1_fused_descriptor.html">FusedDescriptor</a> fusedDescriptor(numInputs, numOutputs, <a class="code" href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">FusedKernelType::AddMulAdd</a>);</div> |
| <div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> status = <a class="code" href="namespacearmnn.html#abfdd58b11ca2986bb45fc25ba4514347">NeonFusedWorkloadValidate</a>({inputInfos.begin(), inputInfos.end()},</div> |
| <div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  {outputInfos.begin(), outputInfos.end()},</div> |
| <div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  fusedDescriptor,</div> |
| <div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  activationDescriptor);</div> |
| <div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">if</span> (status)</div> |
| <div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  {</div> |
| <div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  std::string fusedName;</div> |
| <div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <a class="code" href="namespacearmnn.html#a107fb425e884b38b3b8568334ae1ee3c">GetFusedName</a>(layerList, fusedName);</div> |
| <div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  </div> |
| <div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  <a class="code" href="classarmnn_1_1_i_connectable_layer.html">IConnectableLayer</a>* addMulAddLayer =</div> |
| <div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#ad04187fe81f68558b15b6049b2da9cf9">GetINetwork</a>()-><a class="code" href="classarmnn_1_1_i_network.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">AddFusedLayer</a>(fusedDescriptor, fusedName.c_str());</div> |
| <div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  </div> |
| <div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">if</span> (fuseReLu)</div> |
| <div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div> |
| <div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <a class="code" href="classarmnn_1_1_fused_layer.html">FusedLayer</a>* addMulAddFusedLayer = PolymorphicDowncast<FusedLayer*>(addMulAddLayer);</div> |
| <div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  addMulAddFusedLayer-><a class="code" href="classarmnn_1_1_layer.html#aea1c8483ebeabc0dcbd9090b4f648f1d">SetAdditionalInfoForObject</a>(</div> |
| <div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  std::make_shared<ActivationDescriptor>(*activationDescriptor));</div> |
| <div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  }</div> |
| <div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  </div> |
| <div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="comment">// Update the graph</span></div> |
| <div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  std::vector<IConnectableLayer*> originalLayers;</div> |
| <div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIdx = 0; layerIdx < 4; ++layerIdx)</div> |
| <div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  {</div> |
| <div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keywordflow">if</span> (layerList[layerIdx])</div> |
| <div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  {</div> |
| <div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  originalLayers.push_back(layerList[layerIdx]);</div> |
| <div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  }</div> |
| <div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  }</div> |
| <div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  </div> |
| <div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  std::vector<SlotList> inputLayersSlotLists, outputLayersSlotLists;</div> |
| <div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  BuildAddMulAddSlotLists<SlotList>(fuseReLu,</div> |
| <div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  outputInfos.size() > 1,</div> |
| <div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  inputLayersSlotLists,</div> |
| <div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  outputLayersSlotLists);</div> |
| <div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  </div> |
| <div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  ReplaceMultipleLayers<FusedLayer>(optimizationViews,</div> |
| <div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  originalLayers,</div> |
| <div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  PolymorphicDowncast<FusedLayer*>(addMulAddLayer),</div> |
| <div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  inputLayersSlotLists,</div> |
| <div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  outputLayersSlotLists);</div> |
| <div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  </div> |
| <div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  <span class="comment">// Remove unused layers</span></div> |
| <div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> layerIdx = 0; layerIdx < 4; ++layerIdx)</div> |
| <div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  {</div> |
| <div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keywordflow">if</span> (layerList[layerIdx])</div> |
| <div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  {</div> |
| <div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  untouched.erase(layerList[layerIdx]->GetGuid());</div> |
| <div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  }</div> |
| <div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  }</div> |
| <div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  }</div> |
| <div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  }</div> |
| <div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  }</div> |
| <div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div> |
| <div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  </div> |
| <div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  <span class="keywordflow">if</span> (optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#a9a1555f25af4a0ae2c0a1fc0ed9aded8">GetSubstitutions</a>().empty() && optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#aa3792ea74cfe24d25460a6cf8e851f85">GetDeletedSubgraphs</a>().empty())</div> |
| <div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  {</div> |
| <div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  optimizationViews.<a class="code" href="classarmnn_1_1_optimization_views.html#a28e41bdd6b719a3d60a1a0de2e1ebc95">AddUntouchedSubgraph</a>(<a class="code" href="classarmnn_1_1_subgraph_view.html">SubgraphView</a>(subgraph));</div> |
| <div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  }</div> |
| <div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  {</div> |
| <div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <a class="code" href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">ReportUntouchedLayers</a>(optimizationViews, untouched);</div> |
| <div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  }</div> |
| <div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  </div> |
| <div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keywordflow">return</span> optimizationViews;</div> |
| <div class="line"><a name="l00616"></a><span class="lineno"> 616</span> }</div> |
| <div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  </div> |
| <div class="line"><a name="l00618"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e"> 618</a></span> std::vector<ITensorHandleFactory::FactoryId> <a class="code" href="classarmnn_1_1_neon_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e">NeonBackend::GetHandleFactoryPreferences</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00619"></a><span class="lineno"> 619</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keywordflow">return</span> std::vector<ITensorHandleFactory::FactoryId>() = { <a class="code" href="classarmnn_1_1_neon_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">NeonTensorHandleFactory::GetIdStatic</a>() };</div> |
| <div class="line"><a name="l00621"></a><span class="lineno"> 621</span> }</div> |
| <div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  </div> |
| <div class="line"><a name="l00623"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#a583bc4404a9d27ee1f8c46239637125d"> 623</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_backend.html#a583bc4404a9d27ee1f8c46239637125d">NeonBackend::RegisterTensorHandleFactories</a>(<span class="keyword">class</span> <a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html">TensorHandleFactoryRegistry</a>& registry)</div> |
| <div class="line"><a name="l00624"></a><span class="lineno"> 624</span> {</div> |
| <div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keyword">auto</span> memoryManager = std::make_shared<NeonMemoryManager>(std::make_unique<arm_compute::Allocator>(),</div> |
| <div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <a class="code" href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">BaseMemoryManager::MemoryAffinity::Offset</a>);</div> |
| <div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  </div> |
| <div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#a958ab0c60b6bfdfba5cc075211edec37">RegisterMemoryManager</a>(memoryManager);</div> |
| <div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  </div> |
| <div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="keyword">auto</span> factory = std::make_unique<NeonTensorHandleFactory>(memoryManager);</div> |
| <div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="comment">// Register copy and import factory pair</span></div> |
| <div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#afae069d084e8541c8970d17d26011ac6">RegisterCopyAndImportFactoryPair</a>(factory->GetId(), factory->GetId());</div> |
| <div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="comment">// Register the factory</span></div> |
| <div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  registry.<a class="code" href="classarmnn_1_1_tensor_handle_factory_registry.html#a05f82bd846630bb3aa8afe22ef6f15fc">RegisterFactory</a>(std::move(factory));</div> |
| <div class="line"><a name="l00635"></a><span class="lineno"> 635</span> }</div> |
| <div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  </div> |
| <div class="line"><a name="l00637"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_backend.html#afb75bad43612f5314622c4fa8a16e63d"> 637</a></span> std::unique_ptr<ICustomAllocator> <a class="code" href="classarmnn_1_1_neon_backend.html#afb75bad43612f5314622c4fa8a16e63d">NeonBackend::GetDefaultAllocator</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00638"></a><span class="lineno"> 638</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="keywordflow">return</span> std::make_unique<DefaultAllocator>();</div> |
| <div class="line"><a name="l00640"></a><span class="lineno"> 640</span> }</div> |
| <div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  </div> |
| <div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  </div> |
| <div class="line"><a name="l00643"></a><span class="lineno"> 643</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="anamespacearmnn_html_ae455144d3472c502b636697f4775400c"><div class="ttname"><a href="namespacearmnn.html#ae455144d3472c502b636697f4775400c">armnn::NeonFullyConnectedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFullyConnectedWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &weights, const Optional< TensorInfo > &biases, const FullyConnectedDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.html#l00024">NeonFullyConnectedWorkload.cpp:24</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_a28e41bdd6b719a3d60a1a0de2e1ebc95"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#a28e41bdd6b719a3d60a1a0de2e1ebc95">armnn::OptimizationViews::AddUntouchedSubgraph</a></div><div class="ttdeci">void AddUntouchedSubgraph(SubgraphView &&subgraph)</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00048">OptimizationViews.hpp:48</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_base_memory_manager_html_aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e"><div class="ttname"><a href="classarmnn_1_1_base_memory_manager.html#aaadc6dca70e0b3cc64ae0aba17be0aaeadfd0a82c4bf37b1e90b690a22a20692e">armnn::BaseMemoryManager::MemoryAffinity::Offset</a></div><div class="ttdeci">@ Offset</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a62b6d55816cf737bfc6f42e60df1a3f2">armnn::BinaryOperation::Mul</a></div><div class="ttdeci">@ Mul</div></div> |
| <div class="ttc" id="a_neon_backend_8hpp_html"><div class="ttname"><a href="_neon_backend_8hpp.html">NeonBackend.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html">armnn::FullyConnectedDescriptor</a></div><div class="ttdoc">A FullyConnectedDescriptor for the FullyConnectedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00507">Descriptors.hpp:507</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047aec211f7c20af43e742bf2570c3cb84f9">armnn::BinaryOperation::Add</a></div><div class="ttdeci">@ Add</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a1b03e82a1a53b686aedea3734b2fb957"><div class="ttname"><a href="namespacearmnn.html#a1b03e82a1a53b686aedea3734b2fb957">armnn::NeonAdditionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonAdditionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_addition_workload_8cpp_source.html#l00020">NeonAdditionWorkload.cpp:20</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> |
| <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_ad512520e809bfed4fbd3db9fbc241263"><div class="ttname"><a href="namespacearmnn.html#ad512520e809bfed4fbd3db9fbc241263">armnn::NeonMultiplicationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonMultiplicationWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_multiplication_workload_8cpp_source.html#l00019">NeonMultiplicationWorkload.cpp:19</a></div></div> |
| <div class="ttc" id="a_descriptors_8hpp_html"><div class="ttname"><a href="_descriptors_8hpp.html">Descriptors.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00092">Layer.cpp:92</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_depthwise_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_depthwise_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::DepthwiseConvolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00708">Descriptors.hpp:708</a></div></div> |
| <div class="ttc" id="a_neon_fused_workload_8hpp_html"><div class="ttname"><a href="_neon_fused_workload_8hpp.html">NeonFusedWorkload.hpp</a></div></div> |
| <div class="ttc" id="a_neon_addition_workload_8hpp_html"><div class="ttname"><a href="_neon_addition_workload_8hpp.html">NeonAdditionWorkload.hpp</a></div></div> |
| <div class="ttc" id="a_default_allocator_8hpp_html"><div class="ttname"><a href="_default_allocator_8hpp.html">DefaultAllocator.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a2dfc280952c7939299c304fcbf855b97"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">armnn::BatchNormalizationLayer::m_Mean</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Mean</div><div class="ttdoc">A unique pointer to store Mean values.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00019">BatchNormalizationLayer.hpp:19</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subtraction_layer_html"><div class="ttname"><a href="classarmnn_1_1_subtraction_layer.html">armnn::SubtractionLayer</a></div><div class="ttdoc">This layer represents a subtraction operation.</div><div class="ttdef"><b>Definition:</b> <a href="_subtraction_layer_8hpp_source.html#l00014">SubtractionLayer.hpp:14</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_abc968e1323027f9e42cbc7642800d5ce"><div class="ttname"><a href="namespacearmnn.html#abc968e1323027f9e42cbc7642800d5ce">armnn::NeonSubtractionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonSubtractionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_subtraction_workload_8cpp_source.html#l00022">NeonSubtractionWorkload.cpp:22</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#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.html#l00099">IBackendInternal.hpp:99</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html">armnn::TensorHandleFactoryRegistry</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8hpp_source.html#l00023">TensorHandleFactoryRegistry.hpp:23</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_depthwise_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_depthwise_convolution2d_layer.html">armnn::DepthwiseConvolution2dLayer</a></div><div class="ttdoc">This layer represents a depthwise convolution 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_depthwise_convolution2d_layer_8hpp_source.html#l00015">DepthwiseConvolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_model_context_html"><div class="ttname"><a href="classarmnn_1_1_neon_backend_model_context.html">armnn::NeonBackendModelContext</a></div><div class="ttdoc">The NeonBackendModelContext is used to pass in Neon specific backend ModelOptions.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_model_context_8hpp_source.html#l00019">NeonBackendModelContext.hpp:19</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_layer_support_html"><div class="ttname"><a href="classarmnn_1_1_neon_layer_support.html">armnn::NeonLayerSupport</a></div><div class="ttdef"><b>Definition:</b> <a href="_neon_layer_support_8hpp_source.html#l00014">NeonLayerSupport.hpp:14</a></div></div> |
| <div class="ttc" id="a_neon_division_workload_8hpp_html"><div class="ttname"><a href="_neon_division_workload_8hpp.html">NeonDivisionWorkload.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_fused_layer_html"><div class="ttname"><a href="classarmnn_1_1_fused_layer.html">armnn::FusedLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_fused_layer_8hpp_source.html#l00019">FusedLayer.hpp:19</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a107fb425e884b38b3b8568334ae1ee3c"><div class="ttname"><a href="namespacearmnn.html#a107fb425e884b38b3b8568334ae1ee3c">armnn::GetFusedName</a></div><div class="ttdeci">void GetFusedName(Layer *layerList[4], std::string &fusedName)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_optimization_utils_8hpp_source.html#l00071">NeonBackendOptimizationUtils.hpp:71</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047ae80155eceb940c89e2de63ad05868db2">armnn::BinaryOperation::Sub</a></div><div class="ttdeci">@ Sub</div></div> |
| <div class="ttc" id="a_neon_batch_normalization_workload_8hpp_html"><div class="ttname"><a href="_neon_batch_normalization_workload_8hpp.html">NeonBatchNormalizationWorkload.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_tensor_handle_factory_html_acdecb5b442434112c2cc8fc48c0ea922"><div class="ttname"><a href="classarmnn_1_1_neon_tensor_handle_factory.html#acdecb5b442434112c2cc8fc48c0ea922">armnn::NeonTensorHandleFactory::GetIdStatic</a></div><div class="ttdeci">static const FactoryId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_tensor_handle_factory_8cpp_source.html#l00089">NeonTensorHandleFactory.cpp:89</a></div></div> |
| <div class="ttc" id="a_base_memory_manager_8hpp_html"><div class="ttname"><a href="_base_memory_manager_8hpp.html">BaseMemoryManager.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_handle_factory_registry_html_a958ab0c60b6bfdfba5cc075211edec37"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html#a958ab0c60b6bfdfba5cc075211edec37">armnn::TensorHandleFactoryRegistry::RegisterMemoryManager</a></div><div class="ttdeci">void RegisterMemoryManager(std::shared_ptr< IMemoryManager > memoryManger)</div><div class="ttdoc">Register a memory manager with shared ownership.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.html#l00034">TensorHandleFactoryRegistry.cpp:34</a></div></div> |
| <div class="ttc" id="a_neon_convolution2d_workload_8hpp_html"><div class="ttname"><a href="_neon_convolution2d_workload_8hpp.html">NeonConvolution2dWorkload.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 & ReLu6.</div></div> |
| <div class="ttc" id="a_backend_registry_8hpp_html"><div class="ttname"><a href="_backend_registry_8hpp.html">BackendRegistry.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aec4875f03ff0bb0b26cf76ac7f41e3c8">armnn::LayerType::Reduce</a></div><div class="ttdeci">@ Reduce</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html">armnn::BatchNormalizationLayer</a></div><div class="ttdoc">This layer represents a batch normalization operation.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00015">BatchNormalizationLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_ada6d56575c0fe53cf23c7ae4610c6367"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#ada6d56575c0fe53cf23c7ae4610c6367">armnn::IBackendInternal::IBackendContextPtr</a></div><div class="ttdeci">std::unique_ptr< IBackendContext > IBackendContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div> |
| <div class="ttc" id="a_optimizer_8hpp_html"><div class="ttname"><a href="_optimizer_8hpp.html">Optimizer.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a63559c7f206c265f5fff5ffcc8a58e3e"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a63559c7f206c265f5fff5ffcc8a58e3e">armnn::NeonBackend::GetHandleFactoryPreferences</a></div><div class="ttdeci">std::vector< ITensorHandleFactory::FactoryId > GetHandleFactoryPreferences() const override</div><div class="ttdoc">(Optional) Returns a vector of supported TensorHandleFactory ids in preference order.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00618">NeonBackend.cpp:618</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters::GetParameters</a></div><div class="ttdeci">const Parameters & GetParameters() const override</div><div class="ttdoc">If the layer has a descriptor return it.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a699bcffd93aff3022014b9efc9eaefd1">armnn::LayerType::ElementwiseBinary</a></div><div class="ttdeci">@ ElementwiseBinary</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_network_html_a08f9f3cdeb77b6a0c615e8fa48f0ee94"><div class="ttname"><a href="classarmnn_1_1_i_network.html#a08f9f3cdeb77b6a0c615e8fa48f0ee94">armnn::INetwork::AddFusedLayer</a></div><div class="ttdeci">IConnectableLayer * AddFusedLayer(const FusedDescriptor &fusedDescriptor, const char *name=nullptr)</div><div class="ttdoc">Adds a Fused layer to the network.</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00338">Network.cpp:338</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_convolution2d_layer.html">armnn::Convolution2dLayer</a></div><div class="ttdoc">This layer represents a convolution 2d operation.</div><div class="ttdef"><b>Definition:</b> <a href="_convolution2d_layer_8hpp_source.html#l00015">Convolution2dLayer.hpp:15</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818"><div class="ttname"><a href="namespacearmnn.html#a52d63dc326ef2e2d373217b84ac4a402a6708d958187e663fd689cdad2b55b818">armnn::FusedKernelType::AddMulAdd</a></div><div class="ttdeci">@ AddMulAdd</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="aclassarmnn_1_1_neon_backend_html_a801cf3170dc777aca3e6f926d1bd70a5"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a801cf3170dc777aca3e6f926d1bd70a5">armnn::NeonBackend::CreateBackendContext</a></div><div class="ttdeci">IBackendInternal::IBackendContextPtr CreateBackendContext(const IRuntime::CreationOptions &) const override</div><div class="ttdoc">Create the runtime context of the backend.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00109">NeonBackend.cpp:109</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_addition_layer_html"><div class="ttname"><a href="classarmnn_1_1_addition_layer.html">armnn::AdditionLayer</a></div><div class="ttdoc">This layer represents an addition operation.</div><div class="ttdef"><b>Definition:</b> <a href="_addition_layer_8hpp_source.html#l00013">AdditionLayer.hpp:13</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a5da51be22147d174ff661810c32675b0"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">armnn::BatchNormalizationLayer::m_Gamma</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Gamma</div><div class="ttdoc">A unique pointer to store Gamma values.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00025">BatchNormalizationLayer.hpp:25</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_afb75bad43612f5314622c4fa8a16e63d"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#afb75bad43612f5314622c4fa8a16e63d">armnn::NeonBackend::GetDefaultAllocator</a></div><div class="ttdeci">std::unique_ptr< ICustomAllocator > GetDefaultAllocator() const override</div><div class="ttdoc">Returns the default memory allocator for the backend.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00637">NeonBackend.cpp:637</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_aefb14147290b6b928c5fc924ba035acc"><div class="ttname"><a href="classarmnn_1_1_layer.html#aefb14147290b6b928c5fc924ba035acc">armnn::Layer::GetAdditionalInformation</a></div><div class="ttdeci">std::shared_ptr< T > GetAdditionalInformation() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00368">Layer.hpp:368</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_fused_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fused_descriptor.html">armnn::FusedDescriptor</a></div><div class="ttdoc">A FusedDescriptor for the FusedLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00944">Descriptors.hpp:944</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_reshape_layer_html"><div class="ttname"><a href="classarmnn_1_1_reshape_layer.html">armnn::ReshapeLayer</a></div><div class="ttdoc">This layer represents a reshape operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reshape_layer_8hpp_source.html#l00015">ReshapeLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a339efc194a1738cd93fcdde4d948a5cd"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a339efc194a1738cd93fcdde4d948a5cd">armnn::NeonBackend::OptimizeSubgraphView</a></div><div class="ttdeci">OptimizationViews OptimizeSubgraphView(const SubgraphView &subgraph, const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00144">NeonBackend.cpp:144</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a65c912bfcf02b3096f36caf21fa175d0"><div class="ttname"><a href="namespacearmnn.html#a65c912bfcf02b3096f36caf21fa175d0">armnn::NeonDivisionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDivisionWorkloadValidate(const TensorInfo &input0, const TensorInfo &input1, const TensorInfo &output, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_division_workload_8cpp_source.html#l00018">NeonDivisionWorkload.cpp:18</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a7d38a70f30295f365c3a98fc7fa4a229"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">armnn::BatchNormalizationLayer::m_Variance</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Variance</div><div class="ttdoc">A unique pointer to store Variance values.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00021">BatchNormalizationLayer.hpp:21</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_ad2570202bb366163f8b4660bfe78c49d"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#ad2570202bb366163f8b4660bfe78c49d">armnn::SubgraphView::begin</a></div><div class="ttdeci">IConnectableLayerIterator begin()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.html#l00283">SubgraphView.cpp:283</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6eb8b8b560161603402c0238b3a7d8b0">armnn::LayerType::Subtraction</a></div><div class="ttdeci">@ Subtraction</div></div> |
| <div class="ttc" id="astructarmnn_1_1_fully_connected_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_fully_connected_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::FullyConnectedDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00526">Descriptors.hpp:526</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ae756568a7f2c58778bb6d759d2bd38db"><div class="ttname"><a href="namespacearmnn.html#ae756568a7f2c58778bb6d759d2bd38db">armnn::RemoveReshapeLayer</a></div><div class="ttdeci">void RemoveReshapeLayer(ReshapeLayer *baseLayer, std::map< LayerGuid, Layer * > &untouched, OptimizationViews &optimizationViews)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00293">SubgraphUtils.hpp:293</a></div></div> |
| <div class="ttc" id="a_neon_workload_factory_8hpp_html"><div class="ttname"><a href="_neon_workload_factory_8hpp.html">NeonWorkloadFactory.hpp</a></div></div> |
| <div class="ttc" id="a_neon_reduce_workload_8hpp_html"><div class="ttname"><a href="_neon_reduce_workload_8hpp.html">NeonReduceWorkload.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_reduce_layer_html"><div class="ttname"><a href="classarmnn_1_1_reduce_layer.html">armnn::ReduceLayer</a></div><div class="ttdoc">This layer represents a reduction operation.</div><div class="ttdef"><b>Definition:</b> <a href="_reduce_layer_8hpp_source.html#l00014">ReduceLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_multiplication_layer_html"><div class="ttname"><a href="classarmnn_1_1_multiplication_layer.html">armnn::MultiplicationLayer</a></div><div class="ttdoc">This layer represents a multiplication operation.</div><div class="ttdef"><b>Definition:</b> <a href="_multiplication_layer_8hpp_source.html#l00014">MultiplicationLayer.hpp:14</a></div></div> |
| <div class="ttc" id="a_i_backend_context_8hpp_html"><div class="ttname"><a href="_i_backend_context_8hpp.html">IBackendContext.hpp</a></div></div> |
| <div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::Convolution2dDescriptor::m_BiasEnabled</a></div><div class="ttdeci">bool m_BiasEnabled</div><div class="ttdoc">Enable/disable bias.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00582">Descriptors.hpp:582</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a68c2ef244261cc9649799284774af132"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a68c2ef244261cc9649799284774af132">armnn::NeonBackend::CreateBackendProfilingContext</a></div><div class="ttdeci">IBackendInternal::IBackendProfilingContextPtr CreateBackendProfilingContext(const IRuntime::CreationOptions &, IBackendProfilingPtr &backendProfiling) override</div><div class="ttdoc">Create context specifically used for profiling interaction from backends.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00114">NeonBackend.cpp:114</a></div></div> |
| <div class="ttc" id="a_neon_depthwise_convolution_workload_8hpp_html"><div class="ttname"><a href="_neon_depthwise_convolution_workload_8hpp.html">NeonDepthwiseConvolutionWorkload.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a8dc12f0ee5b232d397bd18ced1a72a64"><div class="ttname"><a href="classarmnn_1_1_layer.html#a8dc12f0ee5b232d397bd18ced1a72a64">armnn::Layer::GetGuid</a></div><div class="ttdeci">LayerGuid GetGuid() const final</div><div class="ttdoc">Returns the unique id of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00343">Layer.hpp:343</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_aea1c8483ebeabc0dcbd9090b4f648f1d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aea1c8483ebeabc0dcbd9090b4f648f1d">armnn::Layer::SetAdditionalInfoForObject</a></div><div class="ttdeci">void SetAdditionalInfoForObject(const AdditionalInfoObjectPtr &additionalInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00373">Layer.hpp:373</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a27d1a1f7b7c2180e5b20ce9e3d00e2dd">armnn::LayerType::Multiplication</a></div><div class="ttdeci">@ Multiplication</div></div> |
| <div class="ttc" id="a_neon_backend_id_8hpp_html"><div class="ttname"><a href="_neon_backend_id_8hpp.html">NeonBackendId.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html">armnn::SubgraphView</a></div><div class="ttdoc">The SubgraphView class represents a subgraph of a Graph.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8hpp_source.html#l00031">SubgraphView.hpp:31</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a7c5531bbefed0945814f874baf9e0e0f">armnn::LayerType::Addition</a></div><div class="ttdeci">@ Addition</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_fully_connected_layer_html"><div class="ttname"><a href="classarmnn_1_1_fully_connected_layer.html">armnn::FullyConnectedLayer</a></div><div class="ttdoc">This layer represents a fully connected operation.</div><div class="ttdef"><b>Definition:</b> <a href="_fully_connected_layer_8hpp_source.html#l00015">FullyConnectedLayer.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html">armnn::OptimizationViews</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00017">OptimizationViews.hpp:17</a></div></div> |
| <div class="ttc" id="a_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_elementwise_binary_layer_html"><div class="ttname"><a href="classarmnn_1_1_elementwise_binary_layer.html">armnn::ElementwiseBinaryLayer</a></div><div class="ttdoc">This layer represents a elementwiseBinary operation.</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_binary_layer_8hpp_source.html#l00014">ElementwiseBinaryLayer.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_division_layer_html"><div class="ttname"><a href="classarmnn_1_1_division_layer.html">armnn::DivisionLayer</a></div><div class="ttdoc">This layer represents a division operation.</div><div class="ttdef"><b>Definition:</b> <a href="_division_layer_8hpp_source.html#l00014">DivisionLayer.hpp:14</a></div></div> |
| <div class="ttc" id="a_neon_subtraction_workload_8hpp_html"><div class="ttname"><a href="_neon_subtraction_workload_8hpp.html">NeonSubtractionWorkload.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a63d684b26fb838b22123490d780bce08"><div class="ttname"><a href="namespacearmnn.html#a63d684b26fb838b22123490d780bce08">armnn::NeonDepthwiseConvolutionWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonDepthwiseConvolutionWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const DepthwiseConvolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_depthwise_convolution_workload_8cpp_source.html#l00029">NeonDepthwiseConvolutionWorkload.cpp:29</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a93fcb3bff141d8c77b53466a44b58eee"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a93fcb3bff141d8c77b53466a44b58eee">armnn::NeonBackend::CreateMemoryManager</a></div><div class="ttdeci">IBackendInternal::IMemoryManagerUniquePtr CreateMemoryManager() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00052">NeonBackend.cpp:52</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a177af502214bbc8123fbb4a3c4f0a1b8"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a177af502214bbc8123fbb4a3c4f0a1b8">armnn::NeonBackend::GetIdStatic</a></div><div class="ttdeci">static const BackendId & GetIdStatic()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00046">NeonBackend.cpp:46</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a3025cdaab2deb0bb2cd642449e570833">armnn::LayerType::Division</a></div><div class="ttdeci">@ Division</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_ae44a82b0e485e551a0f77150b1076e06"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#ae44a82b0e485e551a0f77150b1076e06">armnn::IBackendInternal::IBackendProfilingContextPtr</a></div><div class="ttdeci">std::shared_ptr< arm::pipe::IBackendProfilingContext > IBackendProfilingContextPtr</div><div class="ttdoc">This is the bridge between backend and backend profiling we'll keep it in the backend namespace.</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00092">IBackendInternal.hpp:92</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a93d4285a3ea5e4e3b35578484d889daa"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a93d4285a3ea5e4e3b35578484d889daa">armnn::NeonBackend::GetLayerSupport</a></div><div class="ttdeci">IBackendInternal::ILayerSupportSharedPtr GetLayerSupport() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00126">NeonBackend.cpp:126</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acab78faff25393e9defd1911cb58133e">armnn::LayerType::FullyConnected</a></div><div class="ttdeci">@ FullyConnected</div></div> |
| <div class="ttc" id="a_neon_fully_connected_workload_8hpp_html"><div class="ttname"><a href="_neon_fully_connected_workload_8hpp.html">NeonFullyConnectedWorkload.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a2482b4a7d5bde88e9b963be08017ce2b"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a2482b4a7d5bde88e9b963be08017ce2b">armnn::NeonBackend::CreateBackendSpecificModelContext</a></div><div class="ttdeci">IBackendInternal::IBackendSpecificModelContextPtr CreateBackendSpecificModelContext(const ModelOptions &modelOptions) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00120">NeonBackend.cpp:120</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a7645e8ead378db5ad17eadbdb9df4da6"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">armnn::BatchNormalizationLayer::m_Beta</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > m_Beta</div><div class="ttdoc">A unique pointer to store Beta values.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.html#l00023">BatchNormalizationLayer.hpp:23</a></div></div> |
| <div class="ttc" id="a_neon_tensor_handle_factory_8hpp_html"><div class="ttname"><a href="_neon_tensor_handle_factory_8hpp.html">NeonTensorHandleFactory.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4af97adbfc88b7012a0243215b1076e7e7">armnn::LayerType::DepthwiseConvolution2d</a></div><div class="ttdeci">@ DepthwiseConvolution2d</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_ad8e15c530c929ab823d89ae9fd2d3f11"><div class="ttname"><a href="classarmnn_1_1_layer.html#ad8e15c530c929ab823d89ae9fd2d3f11">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const override</div><div class="ttdoc">Returns the armnn::LayerType of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00286">Layer.hpp:286</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a583bc4404a9d27ee1f8c46239637125d"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a583bc4404a9d27ee1f8c46239637125d">armnn::NeonBackend::RegisterTensorHandleFactories</a></div><div class="ttdeci">void RegisterTensorHandleFactories(class TensorHandleFactoryRegistry &registry) override</div><div class="ttdoc">(Optional) Register TensorHandleFactories Either this method or CreateMemoryManager() and IWorkloadFa...</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00623">NeonBackend.cpp:623</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="aclassarmnn_1_1_i_backend_internal_html_a335964abd41c91f7e6ef5c65865a7b98"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a335964abd41c91f7e6ef5c65865a7b98">armnn::IBackendInternal::IBackendProfilingPtr</a></div><div class="ttdeci">std::unique_ptr< arm::pipe::IBackendProfiling > IBackendProfilingPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00093">IBackendInternal.hpp:93</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_i_runtime_1_1_creation_options_html"><div class="ttname"><a href="structarmnn_1_1_i_runtime_1_1_creation_options.html">armnn::IRuntime::CreationOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00078">IRuntime.hpp:78</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa7c59ccedc6a3bd90c17f3b990afefad">armnn::LayerType::Reshape</a></div><div class="ttdeci">@ Reshape</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a817d4be6dd88f532d36f51748ec14185"><div class="ttname"><a href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">armnn::Layer::BeginOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator BeginOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00266">Layer.hpp:266</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a12bff6d51d63dac1375c89bc8415dc46"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a12bff6d51d63dac1375c89bc8415dc46">armnn::IBackendInternal::IMemoryManagerUniquePtr</a></div><div class="ttdeci">std::unique_ptr< IMemoryManager > IMemoryManagerUniquePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00098">IBackendInternal.hpp:98</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_abfdd58b11ca2986bb45fc25ba4514347"><div class="ttname"><a href="namespacearmnn.html#abfdd58b11ca2986bb45fc25ba4514347">armnn::NeonFusedWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonFusedWorkloadValidate(const std::vector< std::reference_wrapper< TensorInfo >> &inputInfos, const std::vector< std::reference_wrapper< TensorInfo >> &outputInfos, const FusedDescriptor &fusedDescriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fused_workload_8cpp_source.html#l00022">NeonFusedWorkload.cpp:22</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_aa1c6fc8c96404252f1072632fc5acb59"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">armnn::ReduceDescriptor::m_vAxis</a></div><div class="ttdeci">std::vector< uint32_t > m_vAxis</div><div class="ttdoc">The indices of the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01556">Descriptors.hpp:1556</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a45691b0c4a46c239b4986cfed95de13b"><div class="ttname"><a href="namespacearmnn.html#a45691b0c4a46c239b4986cfed95de13b">armnn::NeonConvolution2dWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonConvolution2dWorkloadValidate(const TensorInfo &input, const TensorInfo &output, const Convolution2dDescriptor &descriptor, const TensorInfo &weights, const Optional< TensorInfo > &biases, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_convolution2d_workload_8cpp_source.html#l00024">NeonConvolution2dWorkload.cpp:24</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac1be1c9a317b23b5684c83af59fb2c96"><div class="ttname"><a href="namespacearmnn.html#ac1be1c9a317b23b5684c83af59fb2c96">armnn::NeonBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status NeonBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_batch_normalization_workload_8cpp_source.html#l00024">NeonBatchNormalizationWorkload.cpp:24</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_a9a1555f25af4a0ae2c0a1fc0ed9aded8"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#a9a1555f25af4a0ae2c0a1fc0ed9aded8">armnn::OptimizationViews::GetSubstitutions</a></div><div class="ttdeci">const Substitutions & GetSubstitutions() const</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00058">OptimizationViews.hpp:58</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_subgraph_view_html_afc40490fb4f488bd2a211e81c06a6971"><div class="ttname"><a href="classarmnn_1_1_subgraph_view.html#afc40490fb4f488bd2a211e81c06a6971">armnn::SubgraphView::end</a></div><div class="ttdeci">IConnectableLayerIterator end()</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_view_8cpp_source.html#l00288">SubgraphView.cpp:288</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_aa3792ea74cfe24d25460a6cf8e851f85"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#aa3792ea74cfe24d25460a6cf8e851f85">armnn::OptimizationViews::GetDeletedSubgraphs</a></div><div class="ttdeci">const Subgraphs & GetDeletedSubgraphs() const</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00061">OptimizationViews.hpp:61</a></div></div> |
| <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="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_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div><div class="ttdeci">@ ReLu</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_input_slot_html_a9effd325a6d512a3f8ff4bd207d53255"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">armnn::InputSlot::GetConnectedOutputSlot</a></div><div class="ttdeci">const OutputSlot * GetConnectedOutputSlot() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00056">Layer.hpp:56</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="aclassarmnn_1_1_tensor_handle_factory_registry_html_a05f82bd846630bb3aa8afe22ef6f15fc"><div class="ttname"><a href="classarmnn_1_1_tensor_handle_factory_registry.html#a05f82bd846630bb3aa8afe22ef6f15fc">armnn::TensorHandleFactoryRegistry::RegisterFactory</a></div><div class="ttdeci">void RegisterFactory(std::unique_ptr< ITensorHandleFactory > allocator)</div><div class="ttdoc">Register a TensorHandleFactory and transfer ownership.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_factory_registry_8cpp_source.html#l00012">TensorHandleFactoryRegistry.cpp:12</a></div></div> |
| <div class="ttc" id="a_neon_backend_model_context_8hpp_html"><div class="ttname"><a href="_neon_backend_model_context_8hpp.html">NeonBackendModelContext.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optimization_views_html_ad04187fe81f68558b15b6049b2da9cf9"><div class="ttname"><a href="classarmnn_1_1_optimization_views.html#ad04187fe81f68558b15b6049b2da9cf9">armnn::OptimizationViews::GetINetwork</a></div><div class="ttdeci">INetwork * GetINetwork()</div><div class="ttdef"><b>Definition:</b> <a href="_optimization_views_8hpp_source.html#l00069">OptimizationViews.hpp:69</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a11fa919c11fe46aad613b2e960fcfe90"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a11fa919c11fe46aad613b2e960fcfe90">armnn::IBackendInternal::ILayerSupportSharedPtr</a></div><div class="ttdeci">std::shared_ptr< ILayerSupport > ILayerSupportSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00094">IBackendInternal.hpp:94</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00080">INetwork.hpp:80</a></div></div> |
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| <div class="ttc" id="anamespacearmnn_html_a5b6893cda5b69359a4244c06054da18f"><div class="ttname"><a href="namespacearmnn.html#a5b6893cda5b69359a4244c06054da18f">armnn::ModelOptions</a></div><div class="ttdeci">std::vector< BackendOptions > ModelOptions</div><div class="ttdef"><b>Definition:</b> <a href="_backend_options_8hpp_source.html#l00018">BackendOptions.hpp:18</a></div></div> |
| <div class="ttc" id="a_neon_backend_optimization_utils_8hpp_html"><div class="ttname"><a href="_neon_backend_optimization_utils_8hpp.html">NeonBackendOptimizationUtils.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a5afd10e5e84ebf5cb8cfc8707492eda7"><div class="ttname"><a href="namespacearmnn.html#a5afd10e5e84ebf5cb8cfc8707492eda7">armnn::ReportUntouchedLayers</a></div><div class="ttdeci">void ReportUntouchedLayers(OptimizationViews &optimizationViews, std::map< LayerGuid, Layer * > untouched)</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00220">SubgraphUtils.hpp:220</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac5089a2ee61f22570982e7a56588365a"><div class="ttname"><a href="namespacearmnn.html#ac5089a2ee61f22570982e7a56588365a">armnn::ConnectedToLayerWithNCHW</a></div><div class="ttdeci">bool ConnectedToLayerWithNCHW(Layer *baseLayer)</div><div class="ttdoc">Checks if the Layer is connected to any Layer that has an NCHW layout.</div><div class="ttdef"><b>Definition:</b> <a href="_subgraph_utils_8hpp_source.html#l00250">SubgraphUtils.hpp:250</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a"><div class="ttname"><a href="namespacearmnn.html#ac4f8557279754ed7b3f749d55b0e3047a43d11850893d2fe84a1e618121c1cc0a">armnn::BinaryOperation::Div</a></div><div class="ttdeci">@ Div</div></div> |
| <div class="ttc" id="a_neon_multiplication_workload_8hpp_html"><div class="ttname"><a href="_neon_multiplication_workload_8hpp.html">NeonMultiplicationWorkload.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4adb033d2f81b68f9a17e8f62de69fed4a">armnn::LayerType::Convolution2d</a></div><div class="ttdeci">@ Convolution2d</div></div> |
| <div class="ttc" id="anamespacearmnn_html_a3a34a305e5187f3a3c67030d3bebbdb0"><div class="ttname"><a href="namespacearmnn.html#a3a34a305e5187f3a3c67030d3bebbdb0">armnn::NeonBackendId</a></div><div class="ttdeci">constexpr const char * NeonBackendId()</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_id_8hpp_source.html#l00010">NeonBackendId.hpp:10</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4aa9a62e70841c4d06dd16306a85700d36">armnn::LayerType::Activation</a></div><div class="ttdeci">@ Activation</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a72ca1cf423bda4b0a9ffb789627126de"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a72ca1cf423bda4b0a9ffb789627126de">armnn::IBackendInternal::IWorkloadFactoryPtr</a></div><div class="ttdeci">std::unique_ptr< IWorkloadFactory > IWorkloadFactoryPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00089">IBackendInternal.hpp:89</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01538">Descriptors.hpp:1538</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_neon_backend_html_a8e19e275c8162e34e6d8d10a9245dbc9"><div class="ttname"><a href="classarmnn_1_1_neon_backend.html#a8e19e275c8162e34e6d8d10a9245dbc9">armnn::NeonBackend::CreateWorkloadFactory</a></div><div class="ttdeci">IWorkloadFactoryPtr CreateWorkloadFactory(const IBackendInternal::IMemoryManagerSharedPtr &memoryManager=nullptr) const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_backend_8cpp_source.html#l00058">NeonBackend.cpp:58</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a55f76d98fcd2f5cdac3e2b14536cb7ab"><div class="ttname"><a href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">armnn::Layer::EndOutputSlots</a></div><div class="ttdeci">std::vector< OutputSlot >::iterator EndOutputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00267">Layer.hpp:267</a></div></div> |
| <div class="ttc" id="a_i_memory_manager_8hpp_html"><div class="ttname"><a href="_i_memory_manager_8hpp.html">IMemoryManager.hpp</a></div></div> |
| <div class="ttc" id="a_arm_compute_subgraph_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_subgraph_utils_8hpp.html">ArmComputeSubgraphUtils.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_backend_internal_html_a4d0238968a7643dbb170547dd22bba54"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a4d0238968a7643dbb170547dd22bba54">armnn::IBackendInternal::IBackendSpecificModelContextPtr</a></div><div class="ttdeci">std::shared_ptr< IBackendModelContext > IBackendSpecificModelContextPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_backend_internal_8hpp_source.html#l00096">IBackendInternal.hpp:96</a></div></div> |
| <div class="ttc" id="a_neon_layer_support_8hpp_html"><div class="ttname"><a href="_neon_layer_support_8hpp.html">NeonLayerSupport.hpp</a></div></div> |
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