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 <div class="title">SplitLayerSubTensorMutator.cpp</div>  </div>
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 <a href="_split_layer_sub_tensor_mutator_8cpp.xhtml">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 (c) 2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_split_layer_sub_tensor_mutator_8h.xhtml">arm_compute/graph/mutators/SplitLayerSubTensorMutator.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="graph_2_graph_8h.xhtml">arm_compute/graph/Graph.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="graph_2_logger_8h.xhtml">arm_compute/graph/Logger.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2graph_2_utils_8h.xhtml">arm_compute/graph/Utils.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_topological_sort_8h.xhtml">arm_compute/graph/algorithms/TopologicalSort.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_backend_registry_8h.xhtml">arm_compute/graph/backends/BackendRegistry.h</a>&quot;</span></div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_split_layer_node_8h.xhtml">arm_compute/graph/nodes/SplitLayerNode.h</a>&quot;</span></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cast_8h.xhtml">arm_compute/core/utils/misc/Cast.h</a>&quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_iterable_8h.xhtml">arm_compute/core/utils/misc/Iterable.h</a>&quot;</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="keyword">namespace </span>graph</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">   40</a></span>&#160;<span class="keyword">const</span> <span class="keywordtype">char</span> *<a class="code" href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">SplitLayerSubTensorMutator::name</a>()</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;{</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    <span class="keywordflow">return</span> <span class="stringliteral">&quot;SplitLayerSubTensorMutator&quot;</span>;</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;</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce">   45</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce">SplitLayerSubTensorMutator::mutate</a>(<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml">Graph</a> &amp;g)</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;{</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <span class="comment">// Early exit if no Split layers exist in graph</span></div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <span class="keywordflow">if</span>(g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">nodes</a>(<a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16af2ee14b628c0a45e1682de8f33983dc1">NodeType::SplitLayer</a>).empty())</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    {</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        <span class="keywordflow">return</span>;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    }</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;    <span class="comment">// Perform topological sort</span></div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    std::vector&lt;NodeID&gt; topological_sorted_node_ids = <a class="code" href="namespacearm__compute_1_1graph.xhtml#a14abdeb0f575e919aa6d586a95f23920">dfs</a>(g);</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="comment">// Should be in reverse order of execution</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keywordflow">for</span>(<span class="keyword">auto</span> &amp;node_id : <a class="code" href="namespacearm__compute_1_1utils_1_1iterable.xhtml#ad093dbcab3409be5ca29a73556df5290">arm_compute::utils::iterable::reverse_iterate</a>(topological_sorted_node_ids))</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;        <a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml">INode</a> *node = g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">node</a>(node_id);</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="keywordflow">if</span>(node != <span class="keyword">nullptr</span> &amp;&amp; node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec">type</a>() == <a class="code" href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16af2ee14b628c0a45e1682de8f33983dc1">NodeType::SplitLayer</a> &amp;&amp; node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0) != <span class="keyword">nullptr</span>)</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;            <span class="comment">// Get output tensor</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;            <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a> *input_tensor = node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">input</a>(0);</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;            <span class="comment">// Check that all tensor have the same target and are valid</span></div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            <span class="keywordtype">bool</span> is_valid = std::all_of(node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>().cbegin(), node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>().cend(),</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                                        [&amp;](<span class="keyword">const</span> <a class="code" href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">TensorID</a> &amp; tid)</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            {</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                <span class="keywordflow">return</span> (g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a91bccd842a1caad3149523a05f150ee6">tensor</a>(tid) != <span class="keyword">nullptr</span>) &amp;&amp; (g.<a class="code" href="classarm__compute_1_1graph_1_1_graph.xhtml#a91bccd842a1caad3149523a05f150ee6">tensor</a>(tid)-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">desc</a>().<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964">target</a> == input_tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">desc</a>().<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964">target</a>);</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="comment">// Create subtensors</span></div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;            <span class="keywordflow">if</span>(is_valid &amp;&amp; <a class="code" href="namespacearm__compute_1_1graph.xhtml#a6fd498c55b126dc3f078d38e8528effb">is_target_supported</a>(input_tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">desc</a>().<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964">target</a>))</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;                <a class="code" href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a>(<span class="stringliteral">&quot;Using sub-tensors for the node with ID : &quot;</span></div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                                              &lt;&lt; node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">id</a>() &lt;&lt; <span class="stringliteral">&quot; and name : &quot;</span> &lt;&lt; node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">name</a>() &lt;&lt; std::endl);</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                <span class="keyword">auto</span> *split_node = arm_compute::utils::cast::polymorphic_downcast&lt;SplitLayerNode *&gt;(node);</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;                <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>          = split_node-&gt;axis();</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> num_splits    = split_node-&gt;num_splits();</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                <span class="keyword">const</span> <span class="keywordtype">bool</span>         extend_parent = (<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a> &lt; 2);</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="comment">// Create sub-tensor handles</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">outputs</a>().size(); ++i)</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;                    <a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml">Tensor</a>           *output_tensor = node-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">output</a>(i);</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                    <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>  = output_tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">desc</a>().<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                    <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>       coords;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                    std::tie(std::ignore, coords) = <a class="code" href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ac03531d01e5f5d091b030b0c5d6537d7">SplitLayerNode::compute_output_descriptor</a>(input_tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">desc</a>(), num_splits, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">axis</a>, i);</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                    <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml">backends::IDeviceBackend</a>      &amp;backend = <a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a1f3feffc5bf8a42636b0e5d4f5160041">backends::BackendRegistry::get</a>().<a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a0e2e9eb7cf2545949ea4130d768bea93">get_backend</a>(output_tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">desc</a>().<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964">target</a>);</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                    std::unique_ptr&lt;ITensorHandle&gt; handle  = backend.<a class="code" href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#af8e71170f6e62ea5e6fefab95380a01b">create_subtensor</a>(input_tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">handle</a>(), <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>, coords, extend_parent);</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                    output_tensor-&gt;<a class="code" href="classarm__compute_1_1graph_1_1_tensor.xhtml#a8c1a8dc99f338372d7dc6dd33672ec03">set_handle</a>(std::move(handle));</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                }</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;        }</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    }</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;}</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;} <span class="comment">// namespace graph</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator_xhtml_a0ee2c922a45715b33e30f83f8c005b68"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#a0ee2c922a45715b33e30f83f8c005b68">arm_compute::graph::SplitLayerSubTensorMutator::name</a></div><div class="ttdeci">const char * name() override</div><div class="ttdoc">Returns mutator name.</div><div class="ttdef"><b>Definition:</b> <a href="_split_layer_sub_tensor_mutator_8cpp_source.xhtml#l00040">SplitLayerSubTensorMutator.cpp:40</a></div></div>
 <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::graph::TensorDescriptor::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdoc">Tensor shape.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00109">TensorDescriptor.h:109</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a1d89c28bd42ba9a52da008bb69367171"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a1d89c28bd42ba9a52da008bb69367171">arm_compute::graph::INode::name</a></div><div class="ttdeci">std::string name() const</div><div class="ttdoc">Returns node's name.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00107">INode.cpp:107</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_split_layer_node_xhtml_ac03531d01e5f5d091b030b0c5d6537d7"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_split_layer_node.xhtml#ac03531d01e5f5d091b030b0c5d6537d7">arm_compute::graph::SplitLayerNode::compute_output_descriptor</a></div><div class="ttdeci">static std::pair&lt; TensorDescriptor, Coordinates &gt; compute_output_descriptor(const TensorDescriptor &amp;input_descriptor, unsigned int num_splits, unsigned int axis, unsigned int idx)</div><div class="ttdoc">Computes split layer output descriptor.</div><div class="ttdef"><b>Definition:</b> <a href="_split_layer_node_8cpp_source.xhtml#l00051">SplitLayerNode.cpp:51</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a8c1a8dc99f338372d7dc6dd33672ec03"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a8c1a8dc99f338372d7dc6dd33672ec03">arm_compute::graph::Tensor::set_handle</a></div><div class="ttdeci">void set_handle(std::unique_ptr&lt; ITensorHandle &gt; backend_tensor)</div><div class="ttdoc">Sets the backend tensor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00050">Tensor.cpp:50</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a45c1ef0023ce430d009ec79c97761544"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a45c1ef0023ce430d009ec79c97761544">arm_compute::graph::Tensor::handle</a></div><div class="ttdeci">ITensorHandle * handle()</div><div class="ttdoc">Backend tensor handle accessor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00055">Tensor.cpp:55</a></div></div>
 <div class="ttc" id="_split_layer_sub_tensor_mutator_8h_xhtml"><div class="ttname"><a href="_split_layer_sub_tensor_mutator_8h.xhtml">SplitLayerSubTensorMutator.h</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_backend_registry_xhtml_a0e2e9eb7cf2545949ea4130d768bea93"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a0e2e9eb7cf2545949ea4130d768bea93">arm_compute::graph::backends::BackendRegistry::get_backend</a></div><div class="ttdeci">IDeviceBackend &amp; get_backend(Target target)</div><div class="ttdoc">Get a backend from the registry.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00051">BackendRegistry.cpp:51</a></div></div>
 <div class="ttc" id="_split_layer_node_8h_xhtml"><div class="ttname"><a href="_split_layer_node_8h.xhtml">SplitLayerNode.h</a></div></div>
 <div class="ttc" id="_topological_sort_8h_xhtml"><div class="ttname"><a href="_topological_sort_8h.xhtml">TopologicalSort.h</a></div></div>
 <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
 <div class="ttc" id="_cast_8h_xhtml"><div class="ttname"><a href="_cast_8h.xhtml">Cast.h</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml_a0d3608f94078b90ab1ff9e9465d4ed3b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml#a0d3608f94078b90ab1ff9e9465d4ed3b">arm_compute::graph::Tensor::desc</a></div><div class="ttdeci">TensorDescriptor &amp; desc()</div><div class="ttdoc">TensorInfo metadata accessor.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8cpp_source.xhtml#l00040">Tensor.cpp:40</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml">arm_compute::graph::INode</a></div><div class="ttdoc">Node interface.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8h_source.xhtml#l00045">INode.h:45</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a27369471d9b2ba47746e1e923f585b9f"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a27369471d9b2ba47746e1e923f585b9f">arm_compute::graph::INode::output</a></div><div class="ttdeci">Tensor * output(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given output of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00158">INode.cpp:158</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator_xhtml_af6705a49326de235df4e9b6028bdcdce"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_split_layer_sub_tensor_mutator.xhtml#af6705a49326de235df4e9b6028bdcdce">arm_compute::graph::SplitLayerSubTensorMutator::mutate</a></div><div class="ttdeci">virtual void mutate(Graph &amp;g) override</div><div class="ttdoc">Walk the graph and perform a specific mutation.</div><div class="ttdef"><b>Definition:</b> <a href="_split_layer_sub_tensor_mutator_8cpp_source.xhtml#l00045">SplitLayerSubTensorMutator.cpp:45</a></div></div>
 <div class="ttc" id="arm__compute_2graph_2_utils_8h_xhtml"><div class="ttname"><a href="arm__compute_2graph_2_utils_8h.xhtml">Utils.h</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7fc93f37dac131a1a40b7921f9df3a9a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div>
 <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item.</div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a6fd498c55b126dc3f078d38e8528effb"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a6fd498c55b126dc3f078d38e8528effb">arm_compute::graph::is_target_supported</a></div><div class="ttdeci">bool is_target_supported(Target target)</div><div class="ttdoc">Checks if a specific target is supported.</div><div class="ttdef"><b>Definition:</b> <a href="src_2graph_2_utils_8cpp_source.xhtml#l00034">Utils.cpp:34</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a5ea90a25ef8059df2d2e51b82991ebf3"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a5ea90a25ef8059df2d2e51b82991ebf3">arm_compute::graph::INode::id</a></div><div class="ttdeci">NodeID id() const</div><div class="ttdoc">Returns node's ID.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00102">INode.cpp:102</a></div></div>
 <div class="ttc" id="graph_2_logger_8h_xhtml"><div class="ttname"><a href="graph_2_logger_8h.xhtml">Logger.h</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a74e6b1e9d4924f2fb12baed6a432d3a5"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a74e6b1e9d4924f2fb12baed6a432d3a5">arm_compute::graph::INode::outputs</a></div><div class="ttdeci">const std::vector&lt; TensorID &gt; &amp; outputs() const</div><div class="ttdoc">Returns outputs of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00122">INode.cpp:122</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_backend_registry_xhtml_a1f3feffc5bf8a42636b0e5d4f5160041"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_backend_registry.xhtml#a1f3feffc5bf8a42636b0e5d4f5160041">arm_compute::graph::backends::BackendRegistry::get</a></div><div class="ttdeci">static BackendRegistry &amp; get()</div><div class="ttdoc">Gets backend registry instance.</div><div class="ttdef"><b>Definition:</b> <a href="_backend_registry_8cpp_source.xhtml#l00039">BackendRegistry.cpp:39</a></div></div>
 <div class="ttc" id="_iterable_8h_xhtml"><div class="ttname"><a href="_iterable_8h.xhtml">Iterable.h</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a14abdeb0f575e919aa6d586a95f23920"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a14abdeb0f575e919aa6d586a95f23920">arm_compute::graph::dfs</a></div><div class="ttdeci">std::vector&lt; NodeID &gt; dfs(Graph &amp;g)</div><div class="ttdoc">Depth first search traversal.</div><div class="ttdef"><b>Definition:</b> <a href="_topological_sort_8cpp_source.xhtml#l00127">TopologicalSort.cpp:127</a></div></div>
 <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a2a7ca82c5e74421cb45f17e936abf964"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a2a7ca82c5e74421cb45f17e936abf964">arm_compute::graph::TensorDescriptor::target</a></div><div class="ttdeci">Target target</div><div class="ttdoc">Target.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00113">TensorDescriptor.h:113</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend_xhtml_af8e71170f6e62ea5e6fefab95380a01b"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml#af8e71170f6e62ea5e6fefab95380a01b">arm_compute::graph::backends::IDeviceBackend::create_subtensor</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; create_subtensor(ITensorHandle *parent, TensorShape shape, Coordinates coords, bool extend_parent)=0</div><div class="ttdoc">Create a backend Sub-Tensor.</div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml">arm_compute::graph::Graph</a></div><div class="ttdoc">Graph class.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_graph_8h_source.xhtml#l00050">Graph.h:50</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_a8a979250f01a5edba059a02748b10ea3"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a8a979250f01a5edba059a02748b10ea3">arm_compute::graph::Graph::nodes</a></div><div class="ttdeci">const std::vector&lt; NodeID &gt; &amp; nodes(NodeType type)</div><div class="ttdoc">Returns graph input nodes.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00174">Graph.cpp:174</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_accc088009d44c521706aa98d6387ee21"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#accc088009d44c521706aa98d6387ee21">arm_compute::test::validation::axis</a></div><div class="ttdeci">axis</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_stack_layer_8cpp_source.xhtml#l00226">StackLayer.cpp:226</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_acac9cbaeea226ed297804c012dc12b16af2ee14b628c0a45e1682de8f33983dc1"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#acac9cbaeea226ed297804c012dc12b16af2ee14b628c0a45e1682de8f33983dc1">arm_compute::graph::NodeType::SplitLayer</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_af8baf1f3da6d42a94d0569395ece882a"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#af8baf1f3da6d42a94d0569395ece882a">arm_compute::graph::Graph::node</a></div><div class="ttdeci">const INode * node(NodeID id) const</div><div class="ttdoc">Get node object given its id.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00204">Graph.cpp:204</a></div></div>
 <div class="ttc" id="graph_2_logger_8h_xhtml_a300d153929a99c7b571d4cda3f7987a5"><div class="ttname"><a href="graph_2_logger_8h.xhtml#a300d153929a99c7b571d4cda3f7987a5">ARM_COMPUTE_LOG_GRAPH_VERBOSE</a></div><div class="ttdeci">#define ARM_COMPUTE_LOG_GRAPH_VERBOSE(x)</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_logger_8h_source.xhtml#l00050">Logger.h:50</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1backends_1_1_i_device_backend.xhtml">arm_compute::graph::backends::IDeviceBackend</a></div><div class="ttdoc">Device backend interface.</div><div class="ttdef"><b>Definition:</b> <a href="_i_device_backend_8h_source.xhtml#l00047">IDeviceBackend.h:47</a></div></div>
 <div class="ttc" id="graph_2_graph_8h_xhtml"><div class="ttname"><a href="graph_2_graph_8h.xhtml">Graph.h</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_a6b2d83e561886647467f86c20ce39bec"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#a6b2d83e561886647467f86c20ce39bec">arm_compute::graph::INode::type</a></div><div class="ttdeci">virtual NodeType type() const =0</div><div class="ttdoc">Returns node's type.</div></div>
 <div class="ttc" id="namespacearm__compute_1_1utils_1_1iterable_xhtml_ad093dbcab3409be5ca29a73556df5290"><div class="ttname"><a href="namespacearm__compute_1_1utils_1_1iterable.xhtml#ad093dbcab3409be5ca29a73556df5290">arm_compute::utils::iterable::reverse_iterate</a></div><div class="ttdeci">reverse_iterable&lt; T &gt; reverse_iterate(T &amp;val)</div><div class="ttdoc">Creates a reverse iterable for a given type.</div><div class="ttdef"><b>Definition:</b> <a href="_iterable_8h_source.xhtml#l00101">Iterable.h:101</a></div></div>
 <div class="ttc" id="_backend_registry_8h_xhtml"><div class="ttname"><a href="_backend_registry_8h.xhtml">BackendRegistry.h</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_i_node_xhtml_ad7c09b0faaf3c808b0489012204852a9"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_i_node.xhtml#ad7c09b0faaf3c808b0489012204852a9">arm_compute::graph::INode::input</a></div><div class="ttdeci">Tensor * input(size_t idx) const</div><div class="ttdoc">Returns the tensor of a given input of the node.</div><div class="ttdef"><b>Definition:</b> <a href="_i_node_8cpp_source.xhtml#l00150">INode.cpp:150</a></div></div>
 <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a615af95e19b5d9f74d2760183566a9a3"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a615af95e19b5d9f74d2760183566a9a3">arm_compute::graph::TensorID</a></div><div class="ttdeci">unsigned int TensorID</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2graph_2_types_8h_source.xhtml#l00063">Types.h:63</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_graph_xhtml_a91bccd842a1caad3149523a05f150ee6"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_graph.xhtml#a91bccd842a1caad3149523a05f150ee6">arm_compute::graph::Graph::tensor</a></div><div class="ttdeci">const Tensor * tensor(TensorID id) const</div><div class="ttdoc">Get tensor object given its id.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_8cpp_source.xhtml#l00224">Graph.cpp:224</a></div></div>
 <div class="ttc" id="classarm__compute_1_1graph_1_1_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1_tensor.xhtml">arm_compute::graph::Tensor</a></div><div class="ttdoc">Tensor object.</div><div class="ttdef"><b>Definition:</b> <a href="graph_2_tensor_8h_source.xhtml#l00041">Tensor.h:41</a></div></div>
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