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<div class="title">PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType > Class Template Reference</div> </div>
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<p>Replaces Permute leading into BatchToSpace with a DepthToSpace in the case where the Permute swaps the batch and channels dimensions such that the replacement is valid.
<a href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.xhtml#details">More...</a></p>
<p><code>#include <<a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml">PermuteAndBatchToSpaceAsDepthToSpace.hpp</a>></code></p>
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<tr class="memitem:a5a8476ffc04ce7460bb09ad50d1d23de"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1optimizations_1_1_permute_and_batch_to_space_as_depth_to_space_impl.xhtml#a5a8476ffc04ce7460bb09ad50d1d23de">Run</a> (<a class="el" href="classarmnn_1_1_graph.xhtml">Graph</a> &graph, <a class="el" href="classarmnn_1_1_input_slot.xhtml">InputSlot</a> &connection) const</td></tr>
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<div class="textblock"><h3>template<typename PermuteType><br />
class armnn::optimizations::PermuteAndBatchToSpaceAsDepthToSpaceImpl< PermuteType ></h3>
<p>Replaces Permute leading into BatchToSpace with a DepthToSpace in the case where the Permute swaps the batch and channels dimensions such that the replacement is valid. </p>
<p class="definition">Definition at line <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00018">18</a> of file <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml">PermuteAndBatchToSpaceAsDepthToSpace.hpp</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a5a8476ffc04ce7460bb09ad50d1d23de">◆ </a></span>Run()</h2>
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<td class="memname">void Run </td>
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<td class="paramname"><em>graph</em>, </td>
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<p class="definition">Definition at line <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml#l00021">21</a> of file <a class="el" href="_permute_and_batch_to_space_as_depth_to_space_8hpp_source.xhtml">PermuteAndBatchToSpaceAsDepthToSpace.hpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::BatchToSpaceNd</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00055">InputSlot::GetConnectedOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00199">InputSlot::GetConnection()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00316">Layer::GetInputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00311">Layer::GetName()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00318">Layer::GetOutputSlot()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00052">InputSlot::GetOwningLayer()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00115">OutputSlot::GetOwningLayer()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00063">OutputSlot::GetTensorInfo()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00265">Layer::GetType()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00698">BatchToSpaceNdDescriptor::m_Crops</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00700">BatchToSpaceNdDescriptor::m_DataLayout</a>, <a class="el" href="_layer_8cpp_source.xhtml#l00116">OutputSlot::MoveAllConnections()</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::Permute</a>, and <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::Transpose</a>.</p>
<div class="fragment"><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="comment">// Validate base layer (the Permute) is compatible</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">Layer</a>& base = connection.GetConnectedOutputSlot()->GetOwningLayer();</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">LayerType::Permute</a> || base.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">LayerType::Transpose</a>);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> TensorInfo& inputInfo = base.GetInputSlot(0).GetConnection()->GetTensorInfo();</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> TensorInfo& intermediateInfo = base.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">if</span> (intermediateInfo.GetNumDimensions() != 4)</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">// Must be 4D, otherwise the below checks do not make sense</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">if</span> (!static_cast<PermuteType&>(base).GetParameters().m_DimMappings.IsEqual(PermutationVector{ 3, 1, 2, 0 }))</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</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="l00036"></a><span class="lineno"> 36</span>  <span class="comment">// that is being decomposed.</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</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="comment">// Validate child layer (the BatchToSpace) is compatible</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">Layer</a>& child = connection.GetOwningLayer();</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(child.GetType() == <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">LayerType::BatchToSpaceNd</a>);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> TensorInfo& outputInfo = child.GetOutputSlot(0).GetTensorInfo();</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> BatchToSpaceNdDescriptor& batchToSpaceDesc = <span class="keyword">static_cast<</span>BatchToSpaceNdLayer&<span class="keyword">></span>(child).GetParameters();</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span> (batchToSpaceDesc.m_DataLayout != <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</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="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">if</span> (batchToSpaceDesc.m_Crops != std::vector<std::pair<unsigned int, unsigned int>>{ { 0, 0 }, { 0, 0 } })</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// Cropping is not supported in DepthToSpace</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">if</span> (batchToSpaceDesc.m_BlockShape.size() != 2 ||</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  batchToSpaceDesc.m_BlockShape[0] != batchToSpaceDesc.m_BlockShape[1])</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>  <span class="comment">// Asymmetric or non-2D block sizes are not supported by DepthToSpace</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  uint32_t blockSize = batchToSpaceDesc.m_BlockShape[0];</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span> (outputInfo.GetShape()[0] != 1 || outputInfo.GetShape()[3] != 1)</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// The final output must have 1 batch and 1 channel because these dimensions will be swapped around</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// once we make the substitution, and it needs to be equivalent.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="comment">// Validate the intermediate tensor quantization params.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// may not have sufficient range/precision to preserve the values.</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</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="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// so we would have changed the meaning of the network.</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordtype">bool</span> isIntermediateQuantParamsSameAsInput =</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  intermediateInfo.GetQuantizationScale() == inputInfo.GetQuantizationScale() &&</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  intermediateInfo.GetQuantizationOffset() == inputInfo.GetQuantizationOffset();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordtype">bool</span> isIntermediateQuantParamsSameAsOutput =</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  intermediateInfo.GetQuantizationScale() == outputInfo.GetQuantizationScale() &&</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  intermediateInfo.GetQuantizationOffset() == outputInfo.GetQuantizationOffset();</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">if</span> (!isIntermediateQuantParamsSameAsInput && !isIntermediateQuantParamsSameAsOutput)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Insert equivalent DepthToSpace layer</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> std::string name = std::string(<span class="stringliteral">"merged-"</span>) + base.GetName() + std::string(<span class="stringliteral">"-with-"</span>) + child.GetName();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// Inserts equivalent reshape before base layer.</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">DepthToSpaceDescriptor</a> depthToSpaceDesc(blockSize, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">auto</span>& depthToSpace = *graph.InsertNewLayer<DepthToSpaceLayer>(base.GetInputSlot(0),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  depthToSpaceDesc,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  name.c_str());</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Moves connections from child output to new layer.</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Child layer will be removed as it's left unconnected.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// Base layer will be removed if left unconnected.</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  child.GetOutputSlot().MoveAllConnections(depthToSpace.GetOutputSlot());</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div><div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a6ee06c6045d0c5b6565a247955ef0fc2">armnn::LayerType::BatchToSpaceNd</a></div></div>
<div class="ttc" id="namespacearmnn_serializer_xhtml_a9a8118be7780e95363d631cbca7e7800"><div class="ttname"><a href="namespacearmnn_serializer.xhtml#a9a8118be7780e95363d631cbca7e7800">armnnSerializer::Layer</a></div><div class="ttdeci">Layer</div><div class="ttdef"><b>Definition:</b> <a href="_armnn_schema__generated_8h_source.xhtml#l01144">ArmnnSchema_generated.h:1144</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4afa662c6eb71caef475b2b981ce8eccd7">armnn::LayerType::Permute</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4aaf70b1ac863830a4e1ce6268c8399f54">armnn::LayerType::Transpose</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a3647f60510bc8ddaced01c51b0ee8714"><div class="ttname"><a href="namespacearmnn.xhtml#a3647f60510bc8ddaced01c51b0ee8714">armnn::DepthToSpaceDescriptor</a></div><div class="ttdeci">SpaceToDepthDescriptor DepthToSpaceDescriptor</div><div class="ttdoc">A DepthToSpaceDescriptor for the DepthToSpaceLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00908">Descriptors.hpp:908</a></div></div>
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