Ryan OShea | de36e4a | 2020-03-13 16:26:19 +0000 | [diff] [blame] | 1 | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
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| 86 | <div class="title">MovePermuteUpTests.cpp File Reference</div> </div> |
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| 89 | <div class="textblock"><code>#include "<a class="el" href="_test_utils_8hpp_source.html">../TestUtils.hpp</a>"</code><br /> |
| 90 | <code>#include <<a class="el" href="_optimizer_8hpp_source.html">Optimizer.hpp</a>></code><br /> |
| 91 | <code>#include <boost/test/unit_test.hpp></code><br /> |
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| 93 | <p><a href="_move_permute_up_tests_8cpp_source.html">Go to the source code of this file.</a></p> |
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| 108 | <td class="memname">BOOST_AUTO_TEST_CASE </td> |
| 109 | <td>(</td> |
| 110 | <td class="paramtype">MovePermuteUpTest </td> |
| 111 | <td class="paramname"></td><td>)</td> |
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| 117 | <p class="definition">Definition at line <a class="el" href="_move_permute_up_tests_8cpp_source.html#l00015">15</a> of file <a class="el" href="_move_permute_up_tests_8cpp_source.html">MovePermuteUpTests.cpp</a>.</p> |
| 118 | |
| 119 | <p class="reference">References <a class="el" href="_profiler_tests_8cpp.html#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>, <a class="el" href="_test_utils_8hpp_source.html#l00020">CheckSequence()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_layer_8hpp_source.html#l00310">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.html#l00221">Layer::GetOutputHandler()</a>, <a class="el" href="_optimizer_8hpp_source.html#l00043">armnn::MakeOptimizations()</a>, <a class="el" href="_optimizer_8cpp_source.html#l00016">Optimizer::Pass()</a>, and <a class="el" href="_output_handler_8cpp_source.html#l00017">OutputHandler::SetTensorInfo()</a>.</p> |
| 120 | <div class="fragment"><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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>({ 1, 5, 2, 3 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> permuted({ 1, 3, 5, 2 }, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <a class="code" href="classarmnn_1_1_graph.html">armnn::Graph</a> graph;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> inputId = 0;</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>  <a class="code" href="classarmnn_1_1_layer.html">armnn::Layer</a>* head = graph.AddLayer<<a class="code" href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a>>(0, <span class="stringliteral">"output"</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>  std::string permuteLayerName = <span class="stringliteral">"original_permute"</span>;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="comment">// Insert permute</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  head = graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_permute_layer.html">armnn::PermuteLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0), <a class="code" href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a>({ 0, 2, 3, 1 }),</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  permuteLayerName.c_str());</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  head-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(permuted);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="comment">// Inserts layers that don't care about data format.</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  head = graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_activation_layer.html">armnn::ActivationLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0), <a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a>{}, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  head-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(info);</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>  head = graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_addition_layer.html">armnn::AdditionLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  head-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(info);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// Inserts input for 2nd input of Addition.</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1), inputId++, <span class="stringliteral">""</span>)</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  ->GetOutputHandler()</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  .SetTensorInfo(info);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  head = graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_fake_quantization_layer.html">armnn::FakeQuantizationLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0),</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="structarmnn_1_1_fake_quantization_descriptor.html">armnn::FakeQuantizationDescriptor</a>{}, <span class="stringliteral">""</span>);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  head-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(info);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  head = graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_floor_layer.html">armnn::FloorLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  head-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(info);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  head = graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_mem_copy_layer.html">armnn::MemCopyLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  head-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(info);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  head = graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_multiplication_layer.html">armnn::MultiplicationLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0), <span class="stringliteral">""</span>);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  head-><a class="code" href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">GetOutputHandler</a>().<a class="code" href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">SetTensorInfo</a>(info);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Inserts input for 2nd input of Multiplication.</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(1), inputId++, <span class="stringliteral">""</span>)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  ->GetOutputHandler()</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  .SetTensorInfo(info);</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>  <span class="comment">// Inserts input.</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a>>(head-><a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0), inputId++, <span class="stringliteral">""</span>)</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  ->GetOutputHandler()</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  .SetTensorInfo(info);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  BOOST_TEST(<a class="code" href="_test_utils_8hpp.html#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  &IsLayerOfType<armnn::MultiplicationLayer>, &IsLayerOfType<armnn::MemCopyLayer>,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  &IsLayerOfType<armnn::FloorLayer>, &IsLayerOfType<armnn::FakeQuantizationLayer>,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  &IsLayerOfType<armnn::AdditionLayer>, &IsLayerOfType<armnn::ActivationLayer>,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::OutputLayer>));</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a>(graph, <a class="code" href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a>(<a class="code" href="namespacearmnn_1_1optimizations.html#aafc70d5af99400ff5ea7991825658b2f">MovePermuteUp</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>  <span class="comment">// The permute is moved to the top. New permutes for layers with multiple inputs.</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  BOOST_TEST(<a class="code" href="_test_utils_8hpp.html#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a>(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::PermuteLayer>,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  &IsLayerOfType<armnn::PermuteLayer>, &IsLayerOfType<armnn::MultiplicationLayer>,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  &IsLayerOfType<armnn::MemCopyLayer>, &IsLayerOfType<armnn::FloorLayer>,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  &IsLayerOfType<armnn::FakeQuantizationLayer>, &IsLayerOfType<armnn::AdditionLayer>,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  &IsLayerOfType<armnn::ActivationLayer>, &IsLayerOfType<armnn::OutputLayer>));</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>  std::list<std::string> testRelatedLayers = { permuteLayerName };</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  BOOST_TEST(CheckRelatedLayers<armnn::PermuteLayer>(graph, testRelatedLayers));</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div><div class="ttc" id="classarmnn_1_1_layer_html_af2c0edc7ea62a8baaec4d3d9b2b09256"><div class="ttname"><a href="classarmnn_1_1_layer.html#af2c0edc7ea62a8baaec4d3d9b2b09256">armnn::Layer::GetOutputHandler</a></div><div class="ttdeci">const OutputHandler & GetOutputHandler(unsigned int i=0) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00221">Layer.hpp:221</a></div></div> |
| 121 | <div class="ttc" id="classarmnn_1_1_fake_quantization_layer_html"><div class="ttname"><a href="classarmnn_1_1_fake_quantization_layer.html">armnn::FakeQuantizationLayer</a></div><div class="ttdoc">This layer represents a fake quantization operation. </div><div class="ttdef"><b>Definition:</b> <a href="_fake_quantization_layer_8hpp_source.html#l00013">FakeQuantizationLayer.hpp:13</a></div></div> |
| 122 | <div class="ttc" id="classarmnn_1_1_input_layer_html"><div class="ttname"><a href="classarmnn_1_1_input_layer.html">armnn::InputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_input_layer_8hpp_source.html#l00013">InputLayer.hpp:13</a></div></div> |
| 123 | <div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div> |
| 124 | <div class="ttc" id="structarmnn_1_1_fake_quantization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_fake_quantization_descriptor.html">armnn::FakeQuantizationDescriptor</a></div><div class="ttdoc">A FakeQuantizationDescriptor for the FakeQuantizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00688">Descriptors.hpp:688</a></div></div> |
| 125 | <div class="ttc" id="classarmnn_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#l00209">Layer.hpp:209</a></div></div> |
| 126 | <div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div> |
| 127 | <div class="ttc" id="structarmnn_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#l00020">Descriptors.hpp:20</a></div></div> |
| 128 | <div class="ttc" id="classarmnn_1_1_mem_copy_layer_html"><div class="ttname"><a href="classarmnn_1_1_mem_copy_layer.html">armnn::MemCopyLayer</a></div><div class="ttdoc">This layer represents a memory copy operation. </div><div class="ttdef"><b>Definition:</b> <a href="_mem_copy_layer_8hpp_source.html#l00013">MemCopyLayer.hpp:13</a></div></div> |
| 129 | <div class="ttc" id="classarmnn_1_1_optimizer_html_a1f48ba622b76ea04d15c9b62f642bf08"><div class="ttname"><a href="classarmnn_1_1_optimizer.html#a1f48ba622b76ea04d15c9b62f642bf08">armnn::Optimizer::Pass</a></div><div class="ttdeci">static void Pass(Graph &graph, const Optimizations &optimizations)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8cpp_source.html#l00016">Optimizer.cpp:16</a></div></div> |
| 130 | <div class="ttc" id="classarmnn_1_1_floor_layer_html"><div class="ttname"><a href="classarmnn_1_1_floor_layer.html">armnn::FloorLayer</a></div><div class="ttdoc">This layer represents a floor operation. </div><div class="ttdef"><b>Definition:</b> <a href="_floor_layer_8hpp_source.html#l00013">FloorLayer.hpp:13</a></div></div> |
| 131 | <div class="ttc" id="classarmnn_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> |
| 132 | <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> |
| 133 | <div class="ttc" id="_test_utils_8hpp_html_a0eedb278f57355b47fa983450d4e378c"><div class="ttname"><a href="_test_utils_8hpp.html#a0eedb278f57355b47fa983450d4e378c">CheckSequence</a></div><div class="ttdeci">bool CheckSequence(const armnn::Graph::ConstIterator first, const armnn::Graph::ConstIterator last)</div><div class="ttdef"><b>Definition:</b> <a href="_test_utils_8hpp_source.html#l00020">TestUtils.hpp:20</a></div></div> |
| 134 | <div class="ttc" id="namespacearmnn_1_1optimizations_html_aafc70d5af99400ff5ea7991825658b2f"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html#aafc70d5af99400ff5ea7991825658b2f">armnn::optimizations::MovePermuteUp</a></div><div class="ttdeci">OptimizeForConnection< Layer, PermuteLayer, MovePermuteUpImpl > MovePermuteUp</div><div class="ttdef"><b>Definition:</b> <a href="_move_permute_up_8hpp_source.html#l00080">MovePermuteUp.hpp:80</a></div></div> |
| 135 | <div class="ttc" id="classarmnn_1_1_activation_layer_html"><div class="ttname"><a href="classarmnn_1_1_activation_layer.html">armnn::ActivationLayer</a></div><div class="ttdoc">This layer represents an activation operation with the specified activation function. </div><div class="ttdef"><b>Definition:</b> <a href="_activation_layer_8hpp_source.html#l00012">ActivationLayer.hpp:12</a></div></div> |
| 136 | <div class="ttc" id="classarmnn_1_1_permute_layer_html"><div class="ttname"><a href="classarmnn_1_1_permute_layer.html">armnn::PermuteLayer</a></div><div class="ttdoc">This layer represents a permutation operation. </div><div class="ttdef"><b>Definition:</b> <a href="_permute_layer_8hpp_source.html#l00013">PermuteLayer.hpp:13</a></div></div> |
| 137 | <div class="ttc" id="classarmnn_1_1_output_layer_html"><div class="ttname"><a href="classarmnn_1_1_output_layer.html">armnn::OutputLayer</a></div><div class="ttdoc">A layer user-provided data can be bound to (e.g. inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_output_layer_8hpp_source.html#l00013">OutputLayer.hpp:13</a></div></div> |
| 138 | <div class="ttc" id="namespacearmnn_html_aa7427025a851113a492de0b68b23d22a"><div class="ttname"><a href="namespacearmnn.html#aa7427025a851113a492de0b68b23d22a">armnn::MakeOptimizations</a></div><div class="ttdeci">Optimizer::Optimizations MakeOptimizations(Args &&... args)</div><div class="ttdef"><b>Definition:</b> <a href="_optimizer_8hpp_source.html#l00043">Optimizer.hpp:43</a></div></div> |
| 139 | <div class="ttc" id="classarmnn_1_1_output_handler_html_a97db12c41024f5545ef5cc4153e5443b"><div class="ttname"><a href="classarmnn_1_1_output_handler.html#a97db12c41024f5545ef5cc4153e5443b">armnn::OutputHandler::SetTensorInfo</a></div><div class="ttdeci">void SetTensorInfo(const TensorInfo &tensorInfo)</div><div class="ttdoc">Sets the TensorInfo used by this output handler. </div><div class="ttdef"><b>Definition:</b> <a href="_output_handler_8cpp_source.html#l00017">OutputHandler.cpp:17</a></div></div> |
| 140 | <div class="ttc" id="classarmnn_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> |
| 141 | <div class="ttc" id="classarmnn_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#l00029">Graph.hpp:29</a></div></div> |
| 142 | <div class="ttc" id="structarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00102">Descriptors.hpp:102</a></div></div> |
| 143 | <div class="ttc" id="namespacearmnn_html_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.html#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00168">Types.hpp:168</a></div></div> |
| 144 | <div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00310">Layer.hpp:310</a></div></div> |
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