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Nikhil Raj | 6f92c8e | 2023-11-22 11:41:15 +0000 | [diff] [blame^] | 39 |  <span id="projectnumber">23.11</span> |
Nikhil Raj | 03c7ff3 | 2023-08-22 12:00:04 +0100 | [diff] [blame] | 40 | </div> |
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| 96 | <div class="title">NetworkUtils.cpp</div> </div> |
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| 98 | <div class="contents"> |
| 99 | <a href="_network_utils_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> |
| 100 | <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.</span></div> |
| 101 | <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> |
| 102 | <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> |
| 103 | <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> |
| 104 | <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_network_utils_8hpp.html">NetworkUtils.hpp</a>"</span></div> |
| 105 | <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| 106 | <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_subgraph_view_selector_8hpp.html">SubgraphViewSelector.hpp</a>"</span></div> |
| 107 | <div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> |
| 108 | <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_exceptions_8hpp.html">armnn/Exceptions.hpp</a>></span></div> |
| 109 | <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_backend_registry_8hpp.html">armnn/BackendRegistry.hpp</a>></span></div> |
| 110 | <div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  </div> |
| 111 | <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> |
| 112 | <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div> |
| 113 | <div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  </div> |
| 114 | <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">namespace</span></div> |
| 115 | <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {</div> |
| 116 | <div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div> |
| 117 | <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keywordtype">void</span> UpdateOutputSlotToFp32(OutputSlot& outputSlot)</div> |
| 118 | <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div> |
| 119 | <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> TensorInfo& origTensorInfo = outputSlot.GetTensorInfo();</div> |
| 120 | <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  TensorInfo newTensorInfo(origTensorInfo);</div> |
| 121 | <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  newTensorInfo.SetDataType(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div> |
| 122 | <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  outputSlot.SetTensorInfo(newTensorInfo);</div> |
| 123 | <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> }</div> |
| 124 | <div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  </div> |
| 125 | <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="keywordtype">void</span> ChangeOutputFp16ToFp32(Layer& layer)</div> |
| 126 | <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div> |
| 127 | <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& outputSlot = layer.BeginOutputSlots(); outputSlot != layer.EndOutputSlots(); ++outputSlot)</div> |
| 128 | <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  {</div> |
| 129 | <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">if</span> (outputSlot->GetTensorInfo().GetDataType() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div> |
| 130 | <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div> |
| 131 | <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  UpdateOutputSlotToFp32(*outputSlot);</div> |
| 132 | <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  }</div> |
| 133 | <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  }</div> |
| 134 | <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> }</div> |
| 135 | <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  </div> |
| 136 | <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> } <span class="comment">// anonymous namespace</span></div> |
| 137 | <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  </div> |
| 138 | <div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb"> 40</a></span> std::vector<ConvertFp16ToFp32Layer*> <a class="code" href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">InsertConvertFp16ToFp32LayersBefore</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph,</div> |
| 139 | <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer,</div> |
| 140 | <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">bool</span> expectCorrectInputType)</div> |
| 141 | <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {</div> |
| 142 | <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  std::vector<ConvertFp16ToFp32Layer*> convertLayers;</div> |
| 143 | <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  convertLayers.reserve(layer.<a class="code" href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">GetNumInputSlots</a>());</div> |
| 144 | <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  </div> |
| 145 | <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// Insert a ConvertFp16ToFp32Layer before each input slot</span></div> |
| 146 | <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span>&& inputSlot = layer.<a class="code" href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">BeginInputSlots</a>(); inputSlot != layer.<a class="code" href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">EndInputSlots</a>(); ++inputSlot)</div> |
| 147 | <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div> |
| 148 | <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordtype">bool</span> allowInsert = <span class="keyword">true</span>;</div> |
| 149 | <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">if</span> (expectCorrectInputType)</div> |
| 150 | <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  {</div> |
| 151 | <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// Only insert ConvertFp16ToFp32Layer before FP16 input slots</span></div> |
| 152 | <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>* connectedOutputSlot = inputSlot->GetConnectedOutputSlot();</div> |
| 153 | <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  allowInsert =</div> |
| 154 | <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  connectedOutputSlot && connectedOutputSlot-><a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>;</div> |
| 155 | <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div> |
| 156 | <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div> |
| 157 | <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">if</span> (allowInsert)</div> |
| 158 | <div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div> |
| 159 | <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> std::string name =</div> |
| 160 | <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::string(<span class="stringliteral">"convert_fp16_to_fp32-"</span> + std::to_string(inputSlot->GetSlotIndex()) + <span class="stringliteral">"-"</span>) +</div> |
| 161 | <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  layer.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>();</div> |
| 162 | <div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">ConvertFp16ToFp32Layer</a>* convertLayer =</div> |
| 163 | <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a><<a class="code" href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">ConvertFp16ToFp32Layer</a>>(*inputSlot, name.c_str());</div> |
| 164 | <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  </div> |
| 165 | <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> convertInfo = convertLayer-><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> |
| 166 | <div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div> |
| 167 | <div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  </div> |
| 168 | <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  convertLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(convertInfo);</div> |
| 169 | <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div> |
| 170 | <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  convertLayers.emplace_back(convertLayer);</div> |
| 171 | <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div> |
| 172 | <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div> |
| 173 | <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div> |
| 174 | <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> convertLayers;</div> |
| 175 | <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> |
| 176 | <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> |
| 177 | <div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3"> 79</a></span> std::vector<ConvertFp32ToFp16Layer*> <a class="code" href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">InsertConvertFp32ToFp16LayersAfter</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph, <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer)</div> |
| 178 | <div class="line"><a name="l00080"></a><span class="lineno"> 80</span> {</div> |
| 179 | <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numOutputSlots = layer.<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>();</div> |
| 180 | <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div> |
| 181 | <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  std::vector<ConvertFp32ToFp16Layer*> convertLayers;</div> |
| 182 | <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  convertLayers.reserve(numOutputSlots);</div> |
| 183 | <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| 184 | <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// Update FP16 output slots to FP32 on current layer</span></div> |
| 185 | <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  ChangeOutputFp16ToFp32(layer);</div> |
| 186 | <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> |
| 187 | <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// Insert a ConvertFp32ToFp16Layer after each FP32 output slot</span></div> |
| 188 | <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex = 0u; slotIndex < numOutputSlots; ++slotIndex)</div> |
| 189 | <div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div> |
| 190 | <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="classarmnn_1_1_output_slot.html">OutputSlot</a>& outputSlot = layer.<a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(slotIndex);</div> |
| 191 | <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span>(outputSlot.<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div> |
| 192 | <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div> |
| 193 | <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> std::string name =</div> |
| 194 | <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  std::string(<span class="stringliteral">"convert_fp32_to_fp16-"</span> + std::to_string(slotIndex) + <span class="stringliteral">"-"</span>) + layer.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>();</div> |
| 195 | <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">ConvertFp32ToFp16Layer</a>* convertLayer =</div> |
| 196 | <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a><<a class="code" href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">ConvertFp32ToFp16Layer</a>>(outputSlot, name.c_str());</div> |
| 197 | <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  </div> |
| 198 | <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> convertInfo = convertLayer-><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> |
| 199 | <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  convertInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(<a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div> |
| 200 | <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  </div> |
| 201 | <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  convertLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(convertInfo);</div> |
| 202 | <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  </div> |
| 203 | <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  convertLayers.emplace_back(convertLayer);</div> |
| 204 | <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  }</div> |
| 205 | <div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div> |
| 206 | <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  </div> |
| 207 | <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">return</span> convertLayers;</div> |
| 208 | <div class="line"><a name="l00110"></a><span class="lineno"> 110</span> }</div> |
| 209 | <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  </div> |
| 210 | <div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a67b1630e1df3a06c51d18eed6134b663"> 112</a></span> std::vector<DebugLayer*> <a class="code" href="namespacearmnn.html#a67b1630e1df3a06c51d18eed6134b663">InsertDebugLayerAfter</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph, <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& layer, <span class="keywordtype">bool</span> toFile)</div> |
| 211 | <div class="line"><a name="l00113"></a><span class="lineno"> 113</span> {</div> |
| 212 | <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  std::vector<DebugLayer*> debugLayers;</div> |
| 213 | <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  debugLayers.reserve(layer.<a class="code" href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">GetNumOutputSlots</a>());</div> |
| 214 | <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  </div> |
| 215 | <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">// Connect a DebugLayer to each output slot of the layer</span></div> |
| 216 | <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  uint32_t outputSlotIdx = 0;</div> |
| 217 | <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> outputSlot = layer.<a class="code" href="classarmnn_1_1_layer.html#a817d4be6dd88f532d36f51748ec14185">BeginOutputSlots</a>(); outputSlot != layer.<a class="code" href="classarmnn_1_1_layer.html#a55f76d98fcd2f5cdac3e2b14536cb7ab">EndOutputSlots</a>(); ++outputSlot)</div> |
| 218 | <div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  {</div> |
| 219 | <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">const</span> std::string debugName = std::string(<span class="stringliteral">"DebugLayerAfter"</span>) + layer.<a class="code" href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">GetNameStr</a>() + <span class="stringliteral">"_"</span> +</div> |
| 220 | <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  std::to_string(outputSlotIdx);</div> |
| 221 | <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  </div> |
| 222 | <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarmnn_1_1_debug_layer.html">DebugLayer</a>* debugLayer =</div> |
| 223 | <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  graph.<a class="code" href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">InsertNewLayer</a><<a class="code" href="classarmnn_1_1_debug_layer.html">DebugLayer</a>>(*outputSlot, debugName.c_str(), toFile);</div> |
| 224 | <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div> |
| 225 | <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Sets output tensor info for the debug layer.</span></div> |
| 226 | <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(debugLayer-><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>() == &(*outputSlot));</div> |
| 227 | <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> debugInfo = debugLayer-><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> |
| 228 | <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  </div> |
| 229 | <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  debugLayer-><a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>().<a class="code" href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">SetTensorInfo</a>(debugInfo);</div> |
| 230 | <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  </div> |
| 231 | <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">// NOTE: It is OK to do this because DebugLayer is only supported on CpuRef</span></div> |
| 232 | <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  debugLayer-><a class="code" href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">SetBackendId</a>(<a class="code" href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">Compute::CpuRef</a>);</div> |
| 233 | <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div> |
| 234 | <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  debugLayers.emplace_back(debugLayer);</div> |
| 235 | <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  </div> |
| 236 | <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  ++outputSlotIdx;</div> |
| 237 | <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div> |
| 238 | <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  </div> |
| 239 | <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">return</span> debugLayers;</div> |
| 240 | <div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div> |
| 241 | <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div> |
| 242 | <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> } <span class="comment">// namespace armnn</span></div> |
| 243 | </div><!-- fragment --></div><!-- contents --> |
| 244 | </div><!-- doc-content --> |
| 245 | <div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> |
| 246 | <div class="ttc" id="anamespacearmnn_html_ad31c56533e4f9f9f51719599fbfcf7bb"><div class="ttname"><a href="namespacearmnn.html#ad31c56533e4f9f9f51719599fbfcf7bb">armnn::InsertConvertFp16ToFp32LayersBefore</a></div><div class="ttdeci">std::vector< ConvertFp16ToFp32Layer * > InsertConvertFp16ToFp32LayersBefore(Graph &graph, Layer &layer, bool expectCorrectInputType)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00040">NetworkUtils.cpp:40</a></div></div> |
| 247 | <div class="ttc" id="a_subgraph_view_selector_8hpp_html"><div class="ttname"><a href="_subgraph_view_selector_8hpp.html">SubgraphViewSelector.hpp</a></div></div> |
| 248 | <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> |
| 249 | <div class="ttc" id="anamespacearmnn_html_ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64"><div class="ttname"><a href="namespacearmnn.html#ae2f04a162585c0a5222a537efd5456aea83c2c4e9b658ccafbcbe6309c5d84c64">armnn::Compute::CpuRef</a></div><div class="ttdeci">@ CpuRef</div><div class="ttdoc">CPU Execution: Reference C++ kernels.</div></div> |
| 250 | <div class="ttc" id="aclassarmnn_1_1_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_output_slot.html">armnn::OutputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00100">Layer.hpp:100</a></div></div> |
| 251 | <div class="ttc" id="aclassarmnn_1_1_output_slot_html_a7e5c5771d741dd5473989047a9314728"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7e5c5771d741dd5473989047a9314728">armnn::OutputSlot::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo) override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00087">Layer.cpp:87</a></div></div> |
| 252 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| 253 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div> |
| 254 | <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div> |
| 255 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div> |
| 256 | <div class="ttc" id="a_network_utils_8hpp_html"><div class="ttname"><a href="_network_utils_8hpp.html">NetworkUtils.hpp</a></div></div> |
| 257 | <div class="ttc" id="a_backend_registry_8hpp_html"><div class="ttname"><a href="_backend_registry_8hpp.html">BackendRegistry.hpp</a></div></div> |
| 258 | <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> |
| 259 | <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> |
| 260 | <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> |
| 261 | <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div> |
| 262 | <div class="ttc" id="aclassarmnn_1_1_convert_fp32_to_fp16_layer_html"><div class="ttname"><a href="classarmnn_1_1_convert_fp32_to_fp16_layer.html">armnn::ConvertFp32ToFp16Layer</a></div><div class="ttdoc">This layer converts data type Float 32 to Float 16.</div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp32_to_fp16_layer_8hpp_source.html#l00013">ConvertFp32ToFp16Layer.hpp:13</a></div></div> |
| 263 | <div class="ttc" id="aclassarmnn_1_1_convert_fp16_to_fp32_layer_html"><div class="ttname"><a href="classarmnn_1_1_convert_fp16_to_fp32_layer.html">armnn::ConvertFp16ToFp32Layer</a></div><div class="ttdoc">This layer converts data type Float 16 to Float 32.</div><div class="ttdef"><b>Definition:</b> <a href="_convert_fp16_to_fp32_layer_8hpp_source.html#l00014">ConvertFp16ToFp32Layer.hpp:14</a></div></div> |
| 264 | <div class="ttc" id="anamespacearmnn_html_abf625e50a5eaeafce5b39580dc95a9d3"><div class="ttname"><a href="namespacearmnn.html#abf625e50a5eaeafce5b39580dc95a9d3">armnn::InsertConvertFp32ToFp16LayersAfter</a></div><div class="ttdeci">std::vector< ConvertFp32ToFp16Layer * > InsertConvertFp32ToFp16LayersAfter(Graph &graph, Layer &layer)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00079">NetworkUtils.cpp:79</a></div></div> |
| 265 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a9752e12d6b79e18da1a25f76159d2a72"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9752e12d6b79e18da1a25f76159d2a72">armnn::Layer::EndInputSlots</a></div><div class="ttdeci">std::vector< InputSlot >::iterator EndInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00263">Layer.hpp:263</a></div></div> |
| 266 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a1594bddc87d6477df300317658f566bb"><div class="ttname"><a href="classarmnn_1_1_layer.html#a1594bddc87d6477df300317658f566bb">armnn::Layer::GetNumOutputSlots</a></div><div class="ttdeci">unsigned int GetNumOutputSlots() const override</div><div class="ttdoc">Returns the number of connectable output slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00335">Layer.hpp:335</a></div></div> |
| 267 | <div class="ttc" id="anamespacearmnn_html_a67b1630e1df3a06c51d18eed6134b663"><div class="ttname"><a href="namespacearmnn.html#a67b1630e1df3a06c51d18eed6134b663">armnn::InsertDebugLayerAfter</a></div><div class="ttdeci">std::vector< DebugLayer * > InsertDebugLayerAfter(Graph &graph, Layer &layer, bool toFile)</div><div class="ttdef"><b>Definition:</b> <a href="_network_utils_8cpp_source.html#l00112">NetworkUtils.cpp:112</a></div></div> |
| 268 | <div class="ttc" id="aclassarmnn_1_1_layer_html_af6cb8de21ef0da269ec9b67755ae92a0"><div class="ttname"><a href="classarmnn_1_1_layer.html#af6cb8de21ef0da269ec9b67755ae92a0">armnn::Layer::BeginInputSlots</a></div><div class="ttdeci">std::vector< InputSlot >::iterator BeginInputSlots()</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00262">Layer.hpp:262</a></div></div> |
| 269 | <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div> |
| 270 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a9a97cb6d32661a57fc33bd29b8e41ff4"><div class="ttname"><a href="classarmnn_1_1_layer.html#a9a97cb6d32661a57fc33bd29b8e41ff4">armnn::Layer::GetNameStr</a></div><div class="ttdeci">const std::string & GetNameStr() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00240">Layer.hpp:240</a></div></div> |
| 271 | <div class="ttc" id="aclassarmnn_1_1_layer_html_abc0660dc440c8a285b456c9ef6383c26"><div class="ttname"><a href="classarmnn_1_1_layer.html#abc0660dc440c8a285b456c9ef6383c26">armnn::Layer::GetNumInputSlots</a></div><div class="ttdeci">unsigned int GetNumInputSlots() const override</div><div class="ttdoc">Returns the number of connectable input slots.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00334">Layer.hpp:334</a></div></div> |
| 272 | <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> |
| 273 | <div class="ttc" id="aclassarmnn_1_1_debug_layer_html"><div class="ttname"><a href="classarmnn_1_1_debug_layer.html">armnn::DebugLayer</a></div><div class="ttdoc">This layer visualizes the data flowing through the network.</div><div class="ttdef"><b>Definition:</b> <a href="_debug_layer_8hpp_source.html#l00013">DebugLayer.hpp:13</a></div></div> |
| 274 | <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> |
| 275 | <div class="ttc" id="a_exceptions_8hpp_html"><div class="ttname"><a href="_exceptions_8hpp.html">Exceptions.hpp</a></div></div> |
| 276 | <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> |
| 277 | <div class="ttc" id="aclassarmnn_1_1_layer_html_a316670cb6b65902e017c32ca4bcb4b98"><div class="ttname"><a href="classarmnn_1_1_layer.html#a316670cb6b65902e017c32ca4bcb4b98">armnn::Layer::SetBackendId</a></div><div class="ttdeci">void SetBackendId(const BackendId &id) override</div><div class="ttdoc">Set the backend of the IConnectableLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00291">Layer.hpp:291</a></div></div> |
| 278 | <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> |
| 279 | <div class="ttc" id="aclassarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00030">Graph.hpp:30</a></div></div> |
| 280 | <div class="ttc" id="aclassarmnn_1_1_graph_html_a3ff30c6669fdc69de1f5be1f89bacc3f"><div class="ttname"><a href="classarmnn_1_1_graph.html#a3ff30c6669fdc69de1f5be1f89bacc3f">armnn::Graph::InsertNewLayer</a></div><div class="ttdeci">LayerT * InsertNewLayer(InputSlot &insertBefore, Args &&... args)</div><div class="ttdoc">Inserts a new layer between the output slot currently connected to insertBefore and insertBefore itse...</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00471">Graph.hpp:471</a></div></div> |
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| 284 | <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_e0a84d05c80a2ef4231141dcbbeac5c8.html">armnn</a></li><li class="navelem"><a class="el" href="_network_utils_8cpp.html">NetworkUtils.cpp</a></li> |
Nikhil Raj | 6f92c8e | 2023-11-22 11:41:15 +0000 | [diff] [blame^] | 285 | <li class="footer">Generated on Wed Nov 22 2023 10:57:05 for Arm NN by |
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