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<div class="title">PermuteAndBatchToSpaceAsDepthToSpace.cpp</div> </div>
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<a href="_permute_and_batch_to_space_as_depth_to_space_8cpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_permute_and_batch_to_space_as_depth_to_space_8hpp.html">PermuteAndBatchToSpaceAsDepthToSpace.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">using namespace </span><a class="code" href="namespacearmnn_1_1optimizations.html">armnn::optimizations</a>;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html#a5a8476ffc04ce7460bb09ad50d1d23de"> 11</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html#a5a8476ffc04ce7460bb09ad50d1d23de">PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph, <a class="code" href="classarmnn_1_1_input_slot.html">InputSlot</a>& connection)<span class="keyword"> const</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword"></span>{</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  <span class="comment">// Validate base layer (the Permute) is compatible</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& base = connection.<a class="code" href="classarmnn_1_1_input_slot.html#a9effd325a6d512a3f8ff4bd207d53255">GetConnectedOutputSlot</a>()-><a class="code" href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>  BOOST_ASSERT(base.<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a>);</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = base.<a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</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">TensorInfo</a>& intermediateInfo = base.<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>();</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keywordflow">if</span> (intermediateInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 4)</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>  <span class="comment">// Must be 4D, otherwise the below checks do not make sense</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  }</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">if</span> (!static_cast<PermuteLayer&>(base).GetParameters().m_DimMappings.IsEqual(<a class="code" href="classarmnn_1_1_permutation_vector.html">PermutationVector</a>{ 3, 1, 2, 0 }))</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="comment">// Must swap batch and channels dimensions, otherwise it is not the (original) channels dimension</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="comment">// that is being decomposed.</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  }</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="comment">// Validate child layer (the BatchToSpace) is compatible</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="classarmnn_1_1_layer.html">Layer</a>& child = connection.<a class="code" href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">GetOwningLayer</a>();</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  BOOST_ASSERT(child.<a class="code" href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& outputInfo = child.<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>();</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html">BatchToSpaceNdDescriptor</a>& batchToSpaceDesc = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_batch_to_space_nd_layer.html">BatchToSpaceNdLayer</a>&<span class="keyword">></span>(child).GetParameters();</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">if</span> (batchToSpaceDesc.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> != <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="comment">// The rest of this function assumes NHWC, although in future this restriction could be lifted.</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">if</span> (batchToSpaceDesc.<a class="code" href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">m_Crops</a> != std::vector<std::pair<unsigned int, unsigned int>>{ { 0, 0 }, { 0, 0 } })</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="comment">// Cropping is not supported in DepthToSpace</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span> (batchToSpaceDesc.m_BlockShape.size() != 2 ||</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  batchToSpaceDesc.m_BlockShape[0] != batchToSpaceDesc.m_BlockShape[1])</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// Asymmetric or non-2D block sizes are not supported by DepthToSpace</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  }</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  uint32_t blockSize = batchToSpaceDesc.m_BlockShape[0];</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">if</span> (outputInfo.GetShape()[0] != 1 || outputInfo.GetShape()[3] != 1)</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// The final output must have 1 batch and 1 channel because these dimensions will be swapped around</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// once we make the substitution, and it needs to be equivalent.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Validate the intermediate tensor quantization params.</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="comment">// These must be identical to either the input or output quantization params, otherwise the intermediate tensor</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="comment">// may not have sufficient range/precision to preserve the values.</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">// This would mean that once we perform the substitution this loss of precision will no longer occur,</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// so we would have changed the meaning of the network.</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">bool</span> isIntermediateQuantParamsSameAsInput =</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  intermediateInfo.GetQuantizationScale() == inputInfo.GetQuantizationScale() &&</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  intermediateInfo.GetQuantizationOffset() == inputInfo.GetQuantizationOffset();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">bool</span> isIntermediateQuantParamsSameAsOutput =</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  intermediateInfo.GetQuantizationScale() == outputInfo.GetQuantizationScale() &&</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  intermediateInfo.GetQuantizationOffset() == outputInfo.GetQuantizationOffset();</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">if</span> (!isIntermediateQuantParamsSameAsInput && !isIntermediateQuantParamsSameAsOutput)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">// Insert equivalent DepthToSpace layer</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"merged-"</span>) + base.<a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>() + std::string(<span class="stringliteral">"-with-"</span>) + child.GetName();</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">// Inserts equivalent reshape before base layer.</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html">DepthToSpaceDescriptor</a> depthToSpaceDesc(blockSize, <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">auto</span>& depthToSpace = *graph.InsertNewLayer<<a class="code" href="classarmnn_1_1_depth_to_space_layer.html">DepthToSpaceLayer</a>>(base.GetInputSlot(0), depthToSpaceDesc, name.c_str());</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  depthToSpace.<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>(outputInfo);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Moves connections from child output to new layer.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Child layer will be removed as it's left unconnected.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Base layer will be removed if left unconnected.</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  child.GetOutputSlot().MoveAllConnections(depthToSpace.GetOutputSlot());</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div><div class="ttc" id="classarmnn_1_1_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_input_slot.html">armnn::InputSlot</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00041">Layer.hpp:41</a></div></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>
<div class="ttc" id="classarmnn_1_1_depth_to_space_layer_html"><div class="ttname"><a href="classarmnn_1_1_depth_to_space_layer.html">armnn::DepthToSpaceLayer</a></div><div class="ttdoc">This layer represents a DepthToSpace operation. </div><div class="ttdef"><b>Definition:</b> <a href="_depth_to_space_layer_8hpp_source.html#l00014">DepthToSpaceLayer.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_batch_to_space_nd_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_to_space_nd_layer.html">armnn::BatchToSpaceNdLayer</a></div><div class="ttdoc">This layer represents a BatchToSpaceNd operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_to_space_nd_layer_8hpp_source.html#l00013">BatchToSpaceNdLayer.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_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#l00055">Layer.hpp:55</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_aaef29472862381822654ab6cbf7cba2a"><div class="ttname"><a href="classarmnn_1_1_layer.html#aaef29472862381822654ab6cbf7cba2a">armnn::Layer::GetType</a></div><div class="ttdeci">LayerType GetType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00259">Layer.hpp:259</a></div></div>
<div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00305">Layer.hpp:305</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html">armnn::BatchToSpaceNdDescriptor</a></div><div class="ttdoc">A BatchToSpaceNdDescriptor for the BatchToSpaceNdLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00657">Descriptors.hpp:657</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div>
<div class="ttc" id="classarmnn_1_1_permutation_vector_html"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00170">Types.hpp:170</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
<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>
<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>
<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::BatchToSpaceNdDescriptor::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#l00684">Descriptors.hpp:684</a></div></div>
<div class="ttc" id="namespacearmnn_1_1optimizations_html"><div class="ttname"><a href="namespacearmnn_1_1optimizations.html">armnn::optimizations</a></div><div class="ttdef"><b>Definition:</b> <a href="_add_debug_8hpp_source.html#l00012">AddDebug.hpp:12</a></div></div>
<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html">armnn::SpaceToDepthDescriptor</a></div><div class="ttdoc">A SpaceToDepthDescriptor for the SpaceToDepthLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00810">Descriptors.hpp:810</a></div></div>
<div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_html_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00199">Layer.hpp:199</a></div></div>
<div class="ttc" id="_permute_and_batch_to_space_as_depth_to_space_8hpp_html"><div class="ttname"><a href="_permute_and_batch_to_space_as_depth_to_space_8hpp.html">PermuteAndBatchToSpaceAsDepthToSpace.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div>
<div class="ttc" id="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl_html_a5a8476ffc04ce7460bb09ad50d1d23de"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.html#a5a8476ffc04ce7460bb09ad50d1d23de">armnn::optimizations::PermuteAndBatchToSpaceAsDepthToSpaceImpl::Run</a></div><div class="ttdeci">void Run(Graph &graph, InputSlot &connection) const</div><div class="ttdef"><b>Definition:</b> <a href="_permute_and_batch_to_space_as_depth_to_space_8cpp_source.html#l00011">PermuteAndBatchToSpaceAsDepthToSpace.cpp:11</a></div></div>
<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>
<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>
<div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div></div>
<div class="ttc" id="structarmnn_1_1_batch_to_space_nd_descriptor_html_a3941f674c071c9503e00d2b59e92e454"><div class="ttname"><a href="structarmnn_1_1_batch_to_space_nd_descriptor.html#a3941f674c071c9503e00d2b59e92e454">armnn::BatchToSpaceNdDescriptor::m_Crops</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_Crops</div><div class="ttdoc">The values to crop from the input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00682">Descriptors.hpp:682</a></div></div>
<div class="ttc" id="classarmnn_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#l00063">Layer.cpp:63</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::OutputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00115">Layer.hpp:115</a></div></div>
<div class="ttc" id="classarmnn_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="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_html_a7ddaf04177053a536f0e7be83a642bc6"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#a7ddaf04177053a536f0e7be83a642bc6">armnn::InputSlot::GetOwningLayer</a></div><div class="ttdeci">Layer & GetOwningLayer() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00052">Layer.hpp:52</a></div></div>
<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>
<div class="ttc" id="namespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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