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<div class="title">ITensorHandle.hpp</div> </div>
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<a href="include_2armnn_2backends_2_i_tensor_handle_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include <<a class="code" href="_memory_sources_8hpp.xhtml">armnn/MemorySources.hpp</a>></span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_ignore_unused_8hpp.xhtml">armnn/utility/IgnoreUnused.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> {</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">class </span>TensorShape;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.xhtml"> 15</a></span> <span class="keyword">class </span><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.xhtml#aff95f063e2b8041b3d0e4b4dc0e3821d"> 18</a></span>  <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#aff95f063e2b8041b3d0e4b4dc0e3821d">~ITensorHandle</a>(){}</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// Indicate to the memory manager that this resource is active.</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> /// This is used to compute overlapping lifetimes of resources.</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a04149d0f9b9c54c05e95693111490daf">Manage</a>() = 0;</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> /// Indicate to the memory manager that this resource is no longer active.</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"> /// This is used to compute overlapping lifetimes of resources.</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>() = 0;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> /// Get the parent tensor if this is a subtensor.</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// \return a pointer to the parent tensor. Otherwise nullptr if not a subtensor.</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>* <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">GetParent</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"></span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// Map the tensor data for access.</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> /// \param blocking hint to block the calling thread until all other accesses are complete. (backend dependent)</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// \return pointer to the first element of the mapped data.</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keyword">const</span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>(<span class="keywordtype">bool</span> blocking=<span class="keyword">true</span>) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> /// Unmap the tensor data</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">Unmap</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> /// Map the tensor data for access. Must be paired with call to Unmap().</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> /// \param blocking hint to block the calling thread until all other accesses are complete. (backend dependent)</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> /// \return pointer to the first element of the mapped data.</span></div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.xhtml#a270c8f844df649b9b0599c1e4db44cd3"> 43</a></span> <span class="comment"></span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a270c8f844df649b9b0599c1e4db44cd3">Map</a>(<span class="keywordtype">bool</span> blocking=<span class="keyword">true</span>)</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> <span class="keyword">const_cast<</span><span class="keywordtype">void</span>*<span class="keyword">></span>(<span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>*<span class="keyword">></span>(<span class="keyword">this</span>)-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>(blocking));</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"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /// Unmap the tensor data that was previously mapped with call to Map().</span></div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.xhtml#ab2be1412c91842a072ad94759f52033e"> 49</a></span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#ab2be1412c91842a072ad94759f52033e">Unmap</a>()</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml">ITensorHandle</a>*<span class="keyword">></span>(<span class="keyword">this</span>)-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">Unmap</a>();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"></span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /// Get the strides for each dimension ordered from largest to smallest where</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> /// the smallest value is the same as the size of a single element in the tensor.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> /// \return a TensorShape filled with the strides for each dimension</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a30c3e09ce55369b66469443a4ca5ef03">GetStrides</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"></span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> /// Get the number of elements for each dimension ordered from slowest iterating dimension</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> /// to fastest iterating dimension.</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> /// \return a TensorShape filled with the number of elements for each dimension.</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>() <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"></span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> /// Testing support to be able to verify and set tensor data content</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a4ec32790513ea4af4c5746f1ee48fbfe">CopyOutTo</a>(<span class="keywordtype">void</span>* memory) <span class="keyword">const</span> = 0;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#ad495ac6d9fd9e1ba5bb7a02c731a2d83">CopyInFrom</a>(<span class="keyword">const</span> <span class="keywordtype">void</span>* memory) = 0;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"></span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /// Get flags describing supported import sources.</span></div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.xhtml#a55cddc2dbb32d680cd85b635ba370e48"> 69</a></span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a55cddc2dbb32d680cd85b635ba370e48">GetImportFlags</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> 0; }</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"></span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> /// Import externally allocated memory</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> /// \param memory base address of the memory being imported.</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"> /// \param source source of the allocation for the memory being imported.</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> /// \return true on success or false on failure</span></div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.xhtml#a4f81a9eff30c9b9fe76f5b83af470ba7"> 75</a></span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a4f81a9eff30c9b9fe76f5b83af470ba7">Import</a>(<span class="keywordtype">void</span>* memory, <a class="code" href="namespacearmnn.xhtml#a0fc99721e27eb20ecd0ea85a3cc8b488">MemorySource</a> source)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memory, source);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  };</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> };</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> }</div><div class="ttc" id="_ignore_unused_8hpp_xhtml"><div class="ttname"><a href="_ignore_unused_8hpp.xhtml">IgnoreUnused.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a4f81a9eff30c9b9fe76f5b83af470ba7"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a4f81a9eff30c9b9fe76f5b83af470ba7">armnn::ITensorHandle::Import</a></div><div class="ttdeci">virtual bool Import(void *memory, MemorySource source)</div><div class="ttdoc">Import externally allocated memory. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00075">ITensorHandle.hpp:75</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a55cddc2dbb32d680cd85b635ba370e48"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a55cddc2dbb32d680cd85b635ba370e48">armnn::ITensorHandle::GetImportFlags</a></div><div class="ttdeci">virtual unsigned int GetImportFlags() const</div><div class="ttdoc">Get flags describing supported import sources. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00069">ITensorHandle.hpp:69</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a30c3e09ce55369b66469443a4ca5ef03"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a30c3e09ce55369b66469443a4ca5ef03">armnn::ITensorHandle::GetStrides</a></div><div class="ttdeci">virtual TensorShape GetStrides() const =0</div><div class="ttdoc">Get the strides for each dimension ordered from largest to smallest where the smallest value is the s...</div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a5cceed8b707a09bf27eb61f17acf8a88"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a5cceed8b707a09bf27eb61f17acf8a88">armnn::ITensorHandle::Allocate</a></div><div class="ttdeci">virtual void Allocate()=0</div><div class="ttdoc">Indicate to the memory manager that this resource is no longer active. </div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a04149d0f9b9c54c05e95693111490daf"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a04149d0f9b9c54c05e95693111490daf">armnn::ITensorHandle::Manage</a></div><div class="ttdeci">virtual void Manage()=0</div><div class="ttdoc">Indicate to the memory manager that this resource is active. </div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="_memory_sources_8hpp_xhtml"><div class="ttname"><a href="_memory_sources_8hpp.xhtml">MemorySources.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_aff95f063e2b8041b3d0e4b4dc0e3821d"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#aff95f063e2b8041b3d0e4b4dc0e3821d">armnn::ITensorHandle::~ITensorHandle</a></div><div class="ttdeci">virtual ~ITensorHandle()</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00018">ITensorHandle.hpp:18</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00015">ITensorHandle.hpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_ab2be1412c91842a072ad94759f52033e"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#ab2be1412c91842a072ad94759f52033e">armnn::ITensorHandle::Unmap</a></div><div class="ttdeci">void Unmap()</div><div class="ttdoc">Unmap the tensor data that was previously mapped with call to Map(). </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00049">ITensorHandle.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a437893b8dcf58a0b68b70e1ad7933be6"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a437893b8dcf58a0b68b70e1ad7933be6">armnn::ITensorHandle::GetParent</a></div><div class="ttdeci">virtual ITensorHandle * GetParent() const =0</div><div class="ttdoc">Get the parent tensor if this is a subtensor. </div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#affd5aae75cad90f472f96cfd25a13f29">armnn::ITensorHandle::GetShape</a></div><div class="ttdeci">virtual TensorShape GetShape() const =0</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a4ec32790513ea4af4c5746f1ee48fbfe"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a4ec32790513ea4af4c5746f1ee48fbfe">armnn::ITensorHandle::CopyOutTo</a></div><div class="ttdeci">virtual void CopyOutTo(void *memory) const =0</div><div class="ttdoc">Testing support to be able to verify and set tensor data content. </div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access. </div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a563609828050f1b3a7868c23f3365923"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">armnn::ITensorHandle::Unmap</a></div><div class="ttdeci">virtual void Unmap() const =0</div><div class="ttdoc">Unmap the tensor data. </div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_ad495ac6d9fd9e1ba5bb7a02c731a2d83"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#ad495ac6d9fd9e1ba5bb7a02c731a2d83">armnn::ITensorHandle::CopyInFrom</a></div><div class="ttdeci">virtual void CopyInFrom(const void *memory)=0</div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0fc99721e27eb20ecd0ea85a3cc8b488"><div class="ttname"><a href="namespacearmnn.xhtml#a0fc99721e27eb20ecd0ea85a3cc8b488">armnn::MemorySource</a></div><div class="ttdeci">MemorySource</div><div class="ttdef"><b>Definition:</b> <a href="_memory_sources_8hpp_source.xhtml#l00013">MemorySources.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a270c8f844df649b9b0599c1e4db44cd3"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a270c8f844df649b9b0599c1e4db44cd3">armnn::ITensorHandle::Map</a></div><div class="ttdeci">void * Map(bool blocking=true)</div><div class="ttdoc">Map the tensor data for access. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_8hpp_source.xhtml#l00043">ITensorHandle.hpp:43</a></div></div>
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