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<div class="title">TensorUtils.hpp</div> </div>
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<a href="_tensor_utils_8hpp.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 © 2018-2023 Arm Ltd and Contributors. All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</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="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_8hpp.html">armnn/Types.hpp</a>&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;{</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">class </span>ITensorHandle;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;} <span class="comment">// namespace armnn</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn_utils.html">armnnUtils</a></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"> 22</span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> <a class="code" href="namespacearmnn_utils.html#ab53d94ea22b51c6bcdf9584644bd67bb">GetTensorShape</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfBatches,</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfChannels,</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height,</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width,</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="namespacearmnn_utils.html#acee63cd08da47910fc166a1990988fa8">GetTensorInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfBatches,</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfChannels,</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height,</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width,</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType);</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; </div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="namespacearmnn_utils.html#acee63cd08da47910fc166a1990988fa8">GetTensorInfo</a>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfBatches,</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numberOfChannels,</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth,</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height,</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width,</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType);</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; </div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;std::pair&lt;float, float&gt; <a class="code" href="namespacearmnn_utils.html#a1c9097ab13afc54b48c503c6487aaee1">FindMinMax</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a>* tensorHandle);</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"> 45</span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> <a class="code" href="namespacearmnn_utils.html#a2bff2aae3ae824ff74ba550488373886">ReduceDims</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; tensorInfo, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensions);</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;<a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> <a class="code" href="namespacearmnn_utils.html#a2bff2aae3ae824ff74ba550488373886">ReduceDims</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimensions);</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> <a class="code" href="namespacearmnn_utils.html#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; tensorShape, <span class="keywordtype">int</span> axis);</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; </div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> <a class="code" href="namespacearmnn_utils.html#a9ef6d3649c5d3aa16a9839e3e2ad659b">ExpandDimsToRank</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; tensorShape, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank);</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;std::vector&lt;unsigned int&gt; <a class="code" href="namespacearmnn_utils.html#ac7f0575b4a8c9ba80c5b0695ada4dd92">SqueezeDims</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; tensorShape);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn_utils.html#af57864f5e03358d14c2988edae912b8b">GetNumElementsBetween</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; shape,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> firstAxisInclusive,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> lastAxisExclusive);</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;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">GetUnsignedAxis</a>(<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputDimension, <span class="keyword">const</span> <span class="keywordtype">int</span> axis);</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">GetNumElementsAfter</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; shape, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; </div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;std::pair&lt;unsigned int, std::vector&lt;float&gt;&gt; <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">GetPerAxisParams</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; info);</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="keyword">template</span>&lt;<span class="keyword">typename</span> PrimitiveType&gt;</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;std::unique_ptr&lt;float[]&gt; <a class="code" href="namespacearmnn_utils.html#a573c6170ca8451709e031b6243bc187d">ToFloatArray</a>(<span class="keyword">const</span> std::vector&lt;PrimitiveType&gt;&amp; data, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo);</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;float[]&gt; <a class="code" href="namespacearmnn_utils.html#a573c6170ca8451709e031b6243bc187d">ToFloatArray</a>(<span class="keyword">const</span> std::vector&lt;uint8_t&gt;&amp; data, <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; tensorInfo);</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; </div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;} <span class="comment">// namespace armnnUtils</span></div>
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</div><!-- doc-content -->
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_ac7f0575b4a8c9ba80c5b0695ada4dd92"><div class="ttname"><a href="namespacearmnn_utils.html#ac7f0575b4a8c9ba80c5b0695ada4dd92">armnnUtils::SqueezeDims</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; SqueezeDims(const armnn::TensorShape &amp;tensorShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00195">TensorUtils.cpp:195</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_ac93cb1365b4bcb67df2a3164606096c5"><div class="ttname"><a href="namespacearmnn_utils.html#ac93cb1365b4bcb67df2a3164606096c5">armnnUtils::GetUnsignedAxis</a></div><div class="ttdeci">unsigned int GetUnsignedAxis(const unsigned int inputDimension, const int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00236">TensorUtils.cpp:236</a></div></div>
<div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_a9ef6d3649c5d3aa16a9839e3e2ad659b"><div class="ttname"><a href="namespacearmnn_utils.html#a9ef6d3649c5d3aa16a9839e3e2ad659b">armnnUtils::ExpandDimsToRank</a></div><div class="ttdeci">armnn::TensorShape ExpandDimsToRank(const armnn::TensorShape &amp;tensorShape, unsigned int rank)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00170">TensorUtils.cpp:170</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div>
<div class="ttc" id="a_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_a1826e433f7e6817976a8175b4ef8296c"><div class="ttname"><a href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a></div><div class="ttdeci">std::pair&lt; unsigned int, std::vector&lt; float &gt; &gt; GetPerAxisParams(const armnn::TensorInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00280">TensorUtils.cpp:280</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html"><div class="ttname"><a href="namespacearmnn_utils.html">armnnUtils</a></div><div class="ttdef"><b>Definition:</b> <a href="_compatible_types_8hpp_source.html#l00010">CompatibleTypes.hpp:10</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_a0d3b1be320610515e0cac8d745d9f8c2"><div class="ttname"><a href="namespacearmnn_utils.html#a0d3b1be320610515e0cac8d745d9f8c2">armnnUtils::ExpandDims</a></div><div class="ttdeci">armnn::TensorShape ExpandDims(const armnn::TensorShape &amp;tensorShape, int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00142">TensorUtils.cpp:142</a></div></div>
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<div class="ttc" id="anamespacearmnn_utils_html_a276aac5f7a8bdc3db4f62203870ca13b"><div class="ttname"><a href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">armnnUtils::GetNumElementsAfter</a></div><div class="ttdeci">unsigned int GetNumElementsAfter(const armnn::TensorShape &amp;shape, unsigned int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00261">TensorUtils.cpp:261</a></div></div>
<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
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<div class="ttc" id="anamespacearmnn_utils_html_a1c9097ab13afc54b48c503c6487aaee1"><div class="ttname"><a href="namespacearmnn_utils.html#a1c9097ab13afc54b48c503c6487aaee1">armnnUtils::FindMinMax</a></div><div class="ttdeci">std::pair&lt; float, float &gt; FindMinMax(armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00081">TensorUtils.cpp:81</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_a2bff2aae3ae824ff74ba550488373886"><div class="ttname"><a href="namespacearmnn_utils.html#a2bff2aae3ae824ff74ba550488373886">armnnUtils::ReduceDims</a></div><div class="ttdeci">armnn::TensorShape ReduceDims(const armnn::TensorShape &amp;tensorInfo, unsigned int dimensions)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00108">TensorUtils.cpp:108</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_acee63cd08da47910fc166a1990988fa8"><div class="ttname"><a href="namespacearmnn_utils.html#acee63cd08da47910fc166a1990988fa8">armnnUtils::GetTensorInfo</a></div><div class="ttdeci">armnn::TensorInfo GetTensorInfo(unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const armnn::DataLayout dataLayout, const armnn::DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00040">TensorUtils.cpp:40</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_a573c6170ca8451709e031b6243bc187d"><div class="ttname"><a href="namespacearmnn_utils.html#a573c6170ca8451709e031b6243bc187d">armnnUtils::ToFloatArray</a></div><div class="ttdeci">std::unique_ptr&lt; float[]&gt; ToFloatArray(const std::vector&lt; PrimitiveType &gt; &amp;data, const armnn::TensorInfo &amp;tensorInfo)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00307">TensorUtils.cpp:307</a></div></div>
<div class="ttc" id="anamespacearmnn_utils_html_ab53d94ea22b51c6bcdf9584644bd67bb"><div class="ttname"><a href="namespacearmnn_utils.html#ab53d94ea22b51c6bcdf9584644bd67bb">armnnUtils::GetTensorShape</a></div><div class="ttdeci">armnn::TensorShape GetTensorShape(unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00021">TensorUtils.cpp:21</a></div></div>
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