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<div class="title">TransposeConvolution2dLayer.cpp</div> </div>
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<a href="_transpose_convolution2d_layer_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_transpose_convolution2d_layer_8hpp.html">TransposeConvolution2dLayer.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a>&quot;</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160; </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_data_layout_indexed_8hpp.html">armnnUtils/DataLayoutIndexed.hpp</a>&gt;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160; </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.hpp</a>&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">armnn/backends/WorkloadFactory.hpp</a>&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearmnn_utils.html">armnnUtils</a>;</div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; </div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; </div>
<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_transpose_convolution2d_layer.html#ac6bdcc5d0f4c98f0abd099af48cc8e8b"> 19</a></span>&#160;<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#ac6bdcc5d0f4c98f0abd099af48cc8e8b">TransposeConvolution2dLayer::TransposeConvolution2dLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html">TransposeConvolution2dDescriptor</a>&amp; param,</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; : <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a>(1, 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">TransposeConvolution2d</a>, param, name)</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;}</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; </div>
<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_transpose_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 25</a></span>&#160;std::unique_ptr&lt;IWorkload&gt; <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">TransposeConvolution2dLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>&amp; factory)<span class="keyword"> const</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>)</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;TransposeConvolution2dLayer: Weights data should not be null.&quot;</span>);</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; }</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html">TransposeConvolution2dQueueDescriptor</a> descriptor;</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a9a8a6e0c6074b895eb2ff9a16e5003a5">m_Weight</a> = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>.get();</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">m_BiasEnabled</a>)</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>)</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;TransposeConvolution2dLayer: Bias data should not be null.&quot;</span>);</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a1f3f6acdd5436ccf488d5ee3e9e60c02">m_Bias</a> = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>.get();</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; }</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; </div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">LayerType::TransposeConvolution2d</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;}</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; </div>
<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_transpose_convolution2d_layer.html#a0ad3ca858bd49041c1a5ce793312dcf8"> 49</a></span>&#160;<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html">TransposeConvolution2dLayer</a>* <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a0ad3ca858bd49041c1a5ce793312dcf8">TransposeConvolution2dLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph)<span class="keyword"> const</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">auto</span> layer = CloneBase&lt;TransposeConvolution2dLayer&gt;(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; layer-&gt;m_Weight = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a> ? <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a> : <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keywordflow">if</span> (layer-&gt;m_Param.m_BiasEnabled)</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; {</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; layer-&gt;m_Bias = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a> ? <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a> : <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; <span class="keywordflow">return</span> std::move(layer);</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;}</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; </div>
<div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a"> 63</a></span>&#160;std::vector&lt;TensorShape&gt; <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">TransposeConvolution2dLayer::InferOutputShapes</a>(</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keyword">const</span> std::vector&lt;TensorShape&gt;&amp; inputShapes)<span class="keyword"> const</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">if</span> (inputShapes.size() != 2)</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;inputShapes&#39; size is \&quot;&quot;</span> + std::to_string(inputShapes.size()) +</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="stringliteral">&quot;\&quot; - should be \&quot;2\&quot;.&quot;</span>);</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; }</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; inputShape = inputShapes[0];</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; kernelShape = inputShapes[1];</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">if</span> (inputShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 4)</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;Transpose convolutions will always have 4D input&quot;</span>);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; }</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> dataLayoutIndex(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batches = inputShape[0];</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; </div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wInput = inputShape[dataLayoutIndex.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>()];</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hInput = inputShape[dataLayoutIndex.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>()];</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wKernel = kernelShape[dataLayoutIndex.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">GetWidthIndex</a>()];</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hKernel = kernelShape[dataLayoutIndex.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">GetHeightIndex</a>()];</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wPadding = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hPadding = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a> + <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> wOutput = (wInput - 1) * <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> + wKernel - wPadding;</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> hOutput = (hInput - 1) * <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> + hKernel - hPadding;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> cOutput = kernelShape[0];</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape = <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a> ?</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { batches, hOutput, wOutput, cOutput } ) :</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>( { batches, cOutput, hOutput, wOutput });</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">return</span> std::vector&lt;TensorShape&gt;({ tensorShape });</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;}</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; </div>
<div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classarmnn_1_1_transpose_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966"> 104</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">TransposeConvolution2dLayer::ValidateTensorShapesFromInputs</a>()</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;{</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; </div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>&amp; outputShape = <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordflow">if</span> (!<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>)</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; {</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;TransposeConvolution2dLayer: Weight data cannot be null.&quot;</span>);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; }</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; </div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; std::vector&lt;TensorShape&gt; expectedOutputShape;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; std::vector&lt;TensorShape&gt; outputShapeGivenAsInput;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; </div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; expectedOutputShape = <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>-&gt;GetTensorInfo().GetShape() });</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; </div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">if</span> (expectedOutputShape.size() != 1)</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; {</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;expectedOutputShape&#39; size is &quot;</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; + std::to_string(expectedOutputShape.size()) +</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="stringliteral">&quot; - should be \&quot;1\&quot;.&quot;</span>);</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; }</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; </div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; <span class="comment">// If output_shape was specified then use it rather than calculate an inferred output shape.</span></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a9bc46a2ad56319786bad30be9ab2dc6a">m_OutputShapeEnabled</a>)</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; {</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> shapeAsTensorShape(<span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a>.size()),</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>.<a class="code" href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a78f5b213a603b55d0fabea389e89f203">m_OutputShape</a>.data());</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; outputShapeGivenAsInput.push_back(shapeAsTensorShape);</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; </div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; <span class="keywordflow">if</span> (outputShapeGivenAsInput.size() != 1)</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;outputShapeGivenAsInput&#39; size is &quot;</span></div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; + std::to_string(outputShapeGivenAsInput.size()) +</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="stringliteral">&quot; - should be \&quot;1\&quot;.&quot;</span>);</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">if</span> (expectedOutputShape != outputShapeGivenAsInput)</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; {</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a>(<span class="stringliteral">&quot;TransposeConvolution2dLayer: &quot;</span></div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="stringliteral">&quot;output calculated by InferOutputShapes and the output given &quot;</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="stringliteral">&quot;as an input parameter to the layer are not matching&quot;</span>);</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; }</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; }</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; </div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, expectedOutputShape[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">&quot;TransposeConvolution2dLayer&quot;</span>);</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;}</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; </div>
<div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classarmnn_1_1_transpose_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d"> 155</a></span>&#160;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">TransposeConvolution2dLayer::GetConstantTensorsByRef</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>, <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>};</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;}</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; </div>
<div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classarmnn_1_1_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 161</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">TransposeConvolution2dLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>&amp; strategy)<span class="keyword"> const</span></div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedWeight(<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">m_Weight</a>);</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; std::vector&lt;armnn::ConstTensor&gt; constTensors { { managedWeight.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedWeight.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>() } };</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; </div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedBias(<a class="code" href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">m_Bias</a>);</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>().m_BiasEnabled)</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; {</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; constTensors.emplace_back(<a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(managedBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedBias.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>()));</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; }</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; </div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;}</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; </div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;} <span class="comment">// namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::TransposeConvolution2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01469">Descriptors.hpp:1469</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::TransposeConvolution2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01477">Descriptors.hpp:1477</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::TransposeConvolution2dLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00104">TransposeConvolution2dLayer.cpp:104</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 &amp; GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00100">Layer.cpp:100</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a29cc31172f6ab16ac931f90c667c092d"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a29cc31172f6ab16ac931f90c667c092d">armnn::TransposeConvolution2dLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ImmutableConstantTensors GetConstantTensorsByRef() const override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00155">TransposeConvolution2dLayer.cpp:155</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html_a9a8a6e0c6074b895eb2ff9a16e5003a5"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a9a8a6e0c6074b895eb2ff9a16e5003a5">armnn::TransposeConvolution2dQueueDescriptor::m_Weight</a></div><div class="ttdeci">const ConstTensorHandle * m_Weight</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00551">WorkloadData.hpp:551</a></div></div>
<div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div>
<div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &amp;outputShape, const TensorShape &amp;inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &amp;layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00457">Layer.cpp:457</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html">armnn::TransposeConvolution2dLayer</a></div><div class="ttdoc">This layer represents a 2D transpose convolution operation.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.html#l00015">TransposeConvolution2dLayer.hpp:15</a></div></div>
<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 &amp; 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>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00187">TensorHandle.hpp:187</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 &amp; 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&lt; TransposeConvolution2dDescriptor &gt;::GetParameters</a></div><div class="ttdeci">const TransposeConvolution2dDescriptor &amp; GetParameters() const override</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="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::TransposeConvolution2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01475">Descriptors.hpp:1475</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00014">LayerWithParameters.hpp:14</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_utils_1_1_data_layout_indexed_html_a61c00316c443adc233c24e85c6c5b740"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a61c00316c443adc233c24e85c6c5b740">armnnUtils::DataLayoutIndexed::GetHeightIndex</a></div><div class="ttdeci">unsigned int GetHeightIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed.hpp:24</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector&lt; std::reference_wrapper&lt; const std::shared_ptr&lt; ConstTensorHandle &gt; &gt;&gt; ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00614">Layer.cpp:614</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_aab303f5700f75ebd4216e39ad2f74a24"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#aab303f5700f75ebd4216e39ad2f74a24">armnn::TransposeConvolution2dLayer::m_Bias</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_Bias</div><div class="ttdoc">A unique pointer to store bias values.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.html#l00021">TransposeConvolution2dLayer.hpp:21</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::m_Param</a></div><div class="ttdeci">TransposeConvolution2dDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.).</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00052">LayerWithParameters.hpp:52</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters&lt; TransposeConvolution2dDescriptor &gt;::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &amp;descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a71b23d26c0f5d20416d6c77754f9806a">armnn::LayerType::TransposeConvolution2d</a></div><div class="ttdeci">@ TransposeConvolution2d</div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::TransposeConvolution2dLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(const IWorkloadFactory &amp;factory) const override</div><div class="ttdoc">Makes a workload for the TransposeConvolution2d type.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00025">TransposeConvolution2dLayer.cpp:25</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_validation_exception_html"><div class="ttname"><a href="classarmnn_1_1_layer_validation_exception.html">armnn::LayerValidationException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00105">Exceptions.hpp:105</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html"><div class="ttname"><a href="namespacearmnn_utils.html">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_compatible_types_8hpp_source.html#l00010">CompatibleTypes.hpp:10</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &amp;outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00526">Layer.cpp:526</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00196">TensorHandle.hpp:196</a></div></div>
<div class="ttc" id="a_transpose_convolution2d_layer_8hpp_html"><div class="ttname"><a href="_transpose_convolution2d_layer_8hpp.html">TransposeConvolution2dLayer.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &amp;descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00303">Layer.cpp:303</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a65ca562c882ad619684445a1402f415a">armnn::TransposeConvolution2dLayer::InferOutputShapes</a></div><div class="ttdeci">std::vector&lt; TensorShape &gt; InferOutputShapes(const std::vector&lt; TensorShape &gt; &amp;inputShapes) const override</div><div class="ttdoc">Infers the output shapes from given input shapes and layer properties.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00063">TransposeConvolution2dLayer.cpp:63</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
<div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a414e6f95548e6f7a01d5028b55ad3941"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a414e6f95548e6f7a01d5028b55ad3941">armnnUtils::DataLayoutIndexed::GetWidthIndex</a></div><div class="ttdeci">unsigned int GetWidthIndex() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed.hpp:25</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::TransposeConvolution2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01479">Descriptors.hpp:1479</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html_a1f3f6acdd5436ccf488d5ee3e9e60c02"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html#a1f3f6acdd5436ccf488d5ee3e9e60c02">armnn::TransposeConvolution2dQueueDescriptor::m_Bias</a></div><div class="ttdeci">const ConstTensorHandle * m_Bias</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00552">WorkloadData.hpp:552</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_queue_descriptor.html">armnn::TransposeConvolution2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00544">WorkloadData.hpp:544</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_ac6bdcc5d0f4c98f0abd099af48cc8e8b"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#ac6bdcc5d0f4c98f0abd099af48cc8e8b">armnn::TransposeConvolution2dLayer::TransposeConvolution2dLayer</a></div><div class="ttdeci">TransposeConvolution2dLayer(const TransposeConvolution2dDescriptor &amp;param, const char *name)</div><div class="ttdoc">Constructor to create a TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00019">TransposeConvolution2dLayer.cpp:19</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a78f5b213a603b55d0fabea389e89f203"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a78f5b213a603b55d0fabea389e89f203">armnn::TransposeConvolution2dDescriptor::m_OutputShape</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_OutputShape</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01486">Descriptors.hpp:1486</a></div></div>
<div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a6266a703017d7296f87cc4923df2d725"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a6266a703017d7296f87cc4923df2d725">armnn::TransposeConvolution2dLayer::m_Weight</a></div><div class="ttdeci">std::shared_ptr&lt; ConstTensorHandle &gt; m_Weight</div><div class="ttdoc">A unique pointer to store weight values.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8hpp_source.html#l00019">TransposeConvolution2dLayer.hpp:19</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::TransposeConvolution2dLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &amp;strategy) const override</div><div class="ttdoc">Apply a visitor to this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00161">TransposeConvolution2dLayer.cpp:161</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::TransposeConvolution2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01473">Descriptors.hpp:1473</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::TransposeConvolution2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01471">Descriptors.hpp:1471</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="astructarmnn_1_1_transpose_convolution2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html">armnn::TransposeConvolution2dDescriptor</a></div><div class="ttdoc">A TransposeConvolution2dDescriptor for the TransposeConvolution2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01440">Descriptors.hpp:1440</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &amp;location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00410">Layer.cpp:410</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a9bc46a2ad56319786bad30be9ab2dc6a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a9bc46a2ad56319786bad30be9ab2dc6a">armnn::TransposeConvolution2dDescriptor::m_OutputShapeEnabled</a></div><div class="ttdeci">bool m_OutputShapeEnabled</div><div class="ttdoc">Output shape if it has been specified.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01485">Descriptors.hpp:1485</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_aea202e14d8874cefd9a0f778022b7e25"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#aea202e14d8874cefd9a0f778022b7e25">armnn::TransposeConvolution2dDescriptor::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#l01481">Descriptors.hpp:1481</a></div></div>
<div class="ttc" id="astructarmnn_1_1_transpose_convolution2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_transpose_convolution2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::TransposeConvolution2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01483">Descriptors.hpp:1483</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_null_pointer_exception_html"><div class="ttname"><a href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00146">Exceptions.hpp:146</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00441">Layer.hpp:441</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00491">Types.hpp:491</a></div></div>
<div class="ttc" id="a_data_layout_indexed_8hpp_html"><div class="ttname"><a href="_data_layout_indexed_8hpp.html">DataLayoutIndexed.hpp</a></div></div>
<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>
<div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateWorkload(LayerType type, const QueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &amp;descriptor, const std::vector&lt; armnn::ConstTensor &gt; &amp;constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div>
<div class="ttc" id="a_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00239">TensorHandle.hpp:239</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_transpose_convolution2d_layer_html_a0ad3ca858bd49041c1a5ce793312dcf8"><div class="ttname"><a href="classarmnn_1_1_transpose_convolution2d_layer.html#a0ad3ca858bd49041c1a5ce793312dcf8">armnn::TransposeConvolution2dLayer::Clone</a></div><div class="ttdeci">TransposeConvolution2dLayer * Clone(Graph &amp;graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_transpose_convolution2d_layer_8cpp_source.html#l00049">TransposeConvolution2dLayer.cpp:49</a></div></div>
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