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+<a href="_splitter_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 © 2017 Arm Ltd. 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="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_data_8hpp.html">backendsCommon/WorkloadData.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.html">armnn/Tensor.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_splitter_8hpp.html">Splitter.hpp</a>&quot;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;cmath&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></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="preprocessor">#include &quot;<a class="code" href="_decoders_8hpp.html">Decoders.hpp</a>&quot;</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.html">Encoders.hpp</a>&quot;</span></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">   19</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac4d30f99e7fa46fe375e925a6ad537be">   22</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ac4d30f99e7fa46fe375e925a6ad537be">Split</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html">SplitterQueueDescriptor</a>&amp; data)</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;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; inputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]);</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;    std::unique_ptr&lt;Decoder&lt;float&gt;&gt; decoderPtr =</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        MakeDecoder&lt;float&gt;(inputInfo, data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0]-&gt;Map());</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <a class="code" href="classarmnn_1_1_decoder.html">Decoder&lt;float&gt;</a>&amp; decoder = *decoderPtr;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0; index &lt; inputInfo.GetNumElements(); ++index)</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;        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indices[<a class="code" href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">MaxNumOfTensorDimensions</a>] = { 0 };</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> indexRemainder = index;</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensionStride = inputInfo.GetNumElements();</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i&lt;inputInfo.GetNumDimensions(); i++)</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;            dimensionStride /= inputInfo.GetShape()[i];</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;            indices[i] = indexRemainder / dimensionStride; 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view = data.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">m_ViewOrigins</a>[viewIdx];</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;            <span class="comment">//Split view extents are defined by the size of (the corresponding) input tensor.</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;            <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; outputInfo = <a class="code" href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">GetTensorInfo</a>(data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[viewIdx]);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;            BOOST_ASSERT(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == inputInfo.GetNumDimensions());</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;            <span class="comment">// Check all dimensions to see if this element is inside the given input view.</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;            <span class="keywordtype">bool</span> insideView = <span class="keyword">true</span>;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i&lt;outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</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="keywordflow">if</span> (indices[i] &lt; view.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i])</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                {</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                    insideView = <span class="keyword">false</span>;</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">if</span> (indices[i] &gt;= view.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i] + outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i])</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;                    insideView = <span class="keyword">false</span>;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                }</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;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;            <span class="keywordflow">if</span> (insideView)</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;                std::unique_ptr&lt;Encoder&lt;float&gt;&gt; encoderPtr =</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;                    MakeEncoder&lt;float&gt;(outputInfo, data.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[viewIdx]-&gt;Map());</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                <a class="code" href="classarmnn_1_1_encoder.html">Encoder&lt;float&gt;</a>&amp; encoder = *encoderPtr;</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="keywordtype">unsigned</span> <span class="keywordtype">int</span> outIndex = 0;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensionStride = 1;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                <span class="keywordtype">float</span> inputValue = 0.f;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = outputInfo.GetNumDimensions(); i-- &gt; 0;)</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;                    outIndex += dimensionStride * (indices[i] - view.<a class="code" href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">m_Origin</a>[i]);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                    dimensionStride *= outputInfo.GetShape()[i];</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                }</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;                decoder += index;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                inputValue = decoder.<a class="code" href="classarmnn_1_1_encoder.html#ac729108381e2340bea12877971713ecb">Get</a>();</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                decoder -= index;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                encoder += outIndex;</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                encoder.Set(inputValue);</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                <span class="keywordflow">break</span>;</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;        }</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;}</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;}</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_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="_splitter_8hpp_html"><div class="ttname"><a href="_splitter_8hpp.html">Splitter.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_decoder_html"><div class="ttname"><a href="classarmnn_1_1_decoder.html">armnn::Decoder&lt; float &gt;</a></div></div>
+<div class="ttc" id="classarmnn_1_1_encoder_html"><div class="ttname"><a href="classarmnn_1_1_encoder.html">armnn::Encoder&lt; float &gt;</a></div></div>
+<div class="ttc" id="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin_html"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html">armnn::SplitterQueueDescriptor::ViewOrigin</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00085">WorkloadData.hpp:85</a></div></div>
+<div class="ttc" id="_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div>
+<div class="ttc" id="_decoders_8hpp_html"><div class="ttname"><a href="_decoders_8hpp.html">Decoders.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="namespacearmnn_html_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00018">Types.hpp:18</a></div></div>
+<div class="ttc" id="_encoders_8hpp_html"><div class="ttname"><a href="_encoders_8hpp.html">Encoders.hpp</a></div></div>
+<div class="ttc" id="_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
+<div class="ttc" id="structarmnn_1_1_splitter_queue_descriptor_html_ab1794eb3e74c9700cd3d500fc06dc2e5"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor.html#ab1794eb3e74c9700cd3d500fc06dc2e5">armnn::SplitterQueueDescriptor::m_ViewOrigins</a></div><div class="ttdeci">std::vector&lt; ViewOrigin &gt; m_ViewOrigins</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00096">WorkloadData.hpp:96</a></div></div>
+<div class="ttc" id="structarmnn_1_1_splitter_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor.html">armnn::SplitterQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00083">WorkloadData.hpp:83</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ac4d30f99e7fa46fe375e925a6ad537be"><div class="ttname"><a href="namespacearmnn.html#ac4d30f99e7fa46fe375e925a6ad537be">armnn::Split</a></div><div class="ttdeci">void Split(const SplitterQueueDescriptor &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_splitter_8cpp_source.html#l00022">Splitter.cpp:22</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00031">WorkloadData.hpp:31</a></div></div>
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+<div class="ttc" id="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin_html_af2f0a8c9eb32861711c0ce30b7986c44"><div class="ttname"><a href="structarmnn_1_1_splitter_queue_descriptor_1_1_view_origin.html#af2f0a8c9eb32861711c0ce30b7986c44">armnn::SplitterQueueDescriptor::ViewOrigin::m_Origin</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Origin</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00091">WorkloadData.hpp:91</a></div></div>
+<div class="ttc" id="classarmnn_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#l00088">Tensor.hpp:88</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a93d269806f34407695dc10f510001c30"><div class="ttname"><a href="namespacearmnn.html#a93d269806f34407695dc10f510001c30">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers </div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00025">RefWorkloadUtils.hpp:25</a></div></div>
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