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<div class="title">ITensorHandle.hpp</div> </div>
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<a href="_i_tensor_handle_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 © 2017-2023 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;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160; </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_memory_sources_8hpp.html">armnn/MemorySources.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="_ignore_unused_8hpp.html">armnn/utility/IgnoreUnused.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; </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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; </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="keyword">class </span>TensorShape;</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"><a class="line" href="classarmnn_1_1_i_tensor_handle.html"> 16</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#aff95f063e2b8041b3d0e4b4dc0e3821d"> 19</a></span>&#160; <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#aff95f063e2b8041b3d0e4b4dc0e3821d">~ITensorHandle</a>(){}</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> /// Indicate to the memory manager that this resource is active.</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> /// This is used to compute overlapping lifetimes of resources.</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a04149d0f9b9c54c05e95693111490daf">Manage</a>() = 0;</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="comment"> /// Indicate to the memory manager that this resource is no longer active.</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;<span class="comment"> /// This is used to compute overlapping lifetimes of resources.</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a5cceed8b707a09bf27eb61f17acf8a88">Allocate</a>() = 0;</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;<span class="comment"> /// Get the parent tensor if this is a subtensor.</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="comment"> /// \return a pointer to the parent tensor. Otherwise nullptr if not a subtensor.</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a437893b8dcf58a0b68b70e1ad7933be6">GetParent</a>() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;<span class="comment"> /// Map the tensor data for access.</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<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="l00035"></a><span class="lineno"> 35</span>&#160;<span class="comment"> /// \return pointer to the first element of the mapped data.</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<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.html#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="l00037"></a><span class="lineno"> 37</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="comment"> /// Unmap the tensor data</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">Unmap</a>() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;<span class="comment"> /// Map the tensor data for access. Must be paired with call to Unmap().</span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;<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="l00043"></a><span class="lineno"> 43</span>&#160;<span class="comment"> /// \return pointer to the first element of the mapped data.</span></div>
<div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#a270c8f844df649b9b0599c1e4db44cd3"> 44</a></span>&#160;<span class="comment"></span> <span class="keywordtype">void</span>* <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a270c8f844df649b9b0599c1e4db44cd3">Map</a>(<span class="keywordtype">bool</span> blocking=<span class="keyword">true</span>)</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordflow">return</span> <span class="keyword">const_cast&lt;</span><span class="keywordtype">void</span>*<span class="keyword">&gt;</span>(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>(blocking));</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"></span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="comment"> /// Unmap the tensor data that was previously mapped with call to Map().</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#ab2be1412c91842a072ad94759f52033e"> 50</a></span>&#160;<span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#ab2be1412c91842a072ad94759f52033e">Unmap</a>()</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="keywordflow">return</span> <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>*<span class="keyword">&gt;</span>(<span class="keyword">this</span>)-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">Unmap</a>();</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; }</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;<span class="comment"> /// Get the strides for each dimension ordered from largest to smallest where</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;<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="l00057"></a><span class="lineno"> 57</span>&#160;<span class="comment"> /// \return a TensorShape filled with the strides for each dimension</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a30c3e09ce55369b66469443a4ca5ef03">GetStrides</a>() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="comment"> /// Get the number of elements for each dimension ordered from slowest iterating dimension</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="comment"> /// to fastest iterating dimension.</span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="comment"> /// \return a TensorShape filled with the number of elements for each dimension.</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>() <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="comment"> /// Testing support to be able to verify and set tensor data content</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a4ec32790513ea4af4c5746f1ee48fbfe">CopyOutTo</a>(<span class="keywordtype">void</span>* memory) <span class="keyword">const</span> = 0;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#ad495ac6d9fd9e1ba5bb7a02c731a2d83">CopyInFrom</a>(<span class="keyword">const</span> <span class="keywordtype">void</span>* memory) = 0;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;<span class="comment"> /// Get flags describing supported import sources.</span></div>
<div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#a55cddc2dbb32d680cd85b635ba370e48"> 70</a></span>&#160;<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.html#a55cddc2dbb32d680cd85b635ba370e48">GetImportFlags</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> 0; }</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="comment"> /// Import externally allocated memory</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;<span class="comment"> /// \param memory base address of the memory being imported.</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="comment"> /// \param source source of the allocation for the memory being imported.</span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;<span class="comment"> /// \return true on success or false on failure</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#a4f81a9eff30c9b9fe76f5b83af470ba7"> 76</a></span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a4f81a9eff30c9b9fe76f5b83af470ba7">Import</a>(<span class="keywordtype">void</span>* memory, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> source)</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; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memory, source);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</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;<span class="comment"></span> </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> /// Implementations must determine if this memory block can be imported.</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="comment"> /// This might be based on alignment or memory source type.</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"> /// \return true if this memory can be imported.</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;<span class="comment"> /// \return false by default, cannot be imported.</span></div>
<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#a6caeedd55f4d685fd04b8fcb352dae4e"> 86</a></span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">bool</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a6caeedd55f4d685fd04b8fcb352dae4e">CanBeImported</a>(<span class="keywordtype">void</span>* memory, <a class="code" href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">MemorySource</a> source)</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memory, source);</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</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;<span class="comment"></span> </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;<span class="comment"> /// Unimport externally allocated memory</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#a9eee7f9d4e230d684a7307ac4d75d8a9"> 93</a></span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9eee7f9d4e230d684a7307ac4d75d8a9">Unimport</a>()</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; {};</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;<span class="comment"></span> </div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;<span class="comment"> /// Returns a decorated version of this TensorHandle allowing us to override the TensorInfo for it</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="comment"> /// \param tensorInfo the overidden TensorInfo.</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_tensor_handle.html#a82d949cbbc7667d9f13e3f2a474cad36"> 98</a></span>&#160;<span class="comment"></span> <span class="keyword">virtual</span> std::shared_ptr&lt;ITensorHandle&gt; <a class="code" href="classarmnn_1_1_i_tensor_handle.html#a82d949cbbc7667d9f13e3f2a474cad36">DecorateTensorHandle</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; tensorInfo)</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; <a class="code" href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(tensorInfo);</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; }</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;};</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; </div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;}</div>
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<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a270c8f844df649b9b0599c1e4db44cd3"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="_i_tensor_handle_8hpp_source.html#l00044">ITensorHandle.hpp:44</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a04149d0f9b9c54c05e95693111490daf"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="aclassarmnn_1_1_i_tensor_handle_html_ab2be1412c91842a072ad94759f52033e"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="_i_tensor_handle_8hpp_source.html#l00050">ITensorHandle.hpp:50</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="aclassarmnn_1_1_i_tensor_handle_html_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="aclassarmnn_1_1_i_tensor_handle_html_a55cddc2dbb32d680cd85b635ba370e48"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="_i_tensor_handle_8hpp_source.html#l00070">ITensorHandle.hpp:70</a></div></div>
<div class="ttc" id="a_ignore_unused_8hpp_html"><div class="ttname"><a href="_ignore_unused_8hpp.html">IgnoreUnused.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a82d949cbbc7667d9f13e3f2a474cad36"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a82d949cbbc7667d9f13e3f2a474cad36">armnn::ITensorHandle::DecorateTensorHandle</a></div><div class="ttdeci">virtual std::shared_ptr&lt; ITensorHandle &gt; DecorateTensorHandle(const TensorInfo &amp;tensorInfo)</div><div class="ttdoc">Returns a decorated version of this TensorHandle allowing us to override the TensorInfo for it.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00098">ITensorHandle.hpp:98</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a4f81a9eff30c9b9fe76f5b83af470ba7"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="_i_tensor_handle_8hpp_source.html#l00076">ITensorHandle.hpp:76</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="aclassarmnn_1_1_i_tensor_handle_html_a9eee7f9d4e230d684a7307ac4d75d8a9"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a9eee7f9d4e230d684a7307ac4d75d8a9">armnn::ITensorHandle::Unimport</a></div><div class="ttdeci">virtual void Unimport()</div><div class="ttdoc">Unimport externally allocated memory.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00093">ITensorHandle.hpp:93</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a437893b8dcf58a0b68b70e1ad7933be6"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="aclassarmnn_1_1_i_tensor_handle_html_a30c3e09ce55369b66469443a4ca5ef03"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="aclassarmnn_1_1_i_tensor_handle_html_ad495ac6d9fd9e1ba5bb7a02c731a2d83"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#ad495ac6d9fd9e1ba5bb7a02c731a2d83">armnn::ITensorHandle::CopyInFrom</a></div><div class="ttdeci">virtual void CopyInFrom(const void *memory)=0</div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a563609828050f1b3a7868c23f3365923"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="a_tensor_8hpp_html"><div class="ttname"><a href="_tensor_8hpp.html">Tensor.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a6caeedd55f4d685fd04b8fcb352dae4e"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a6caeedd55f4d685fd04b8fcb352dae4e">armnn::ITensorHandle::CanBeImported</a></div><div class="ttdeci">virtual bool CanBeImported(void *memory, MemorySource source)</div><div class="ttdoc">Implementations must determine if this memory block can be imported.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00086">ITensorHandle.hpp:86</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.html#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.html#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a14fcd7f88d11cea0a018269dca5f9277"><div class="ttname"><a href="namespacearmnn.html#a14fcd7f88d11cea0a018269dca5f9277">armnn::MemorySource</a></div><div class="ttdeci">MemorySource</div><div class="ttdoc">Define the Memory Source to reduce copies.</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00244">Types.hpp:244</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>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_aff95f063e2b8041b3d0e4b4dc0e3821d"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#aff95f063e2b8041b3d0e4b4dc0e3821d">armnn::ITensorHandle::~ITensorHandle</a></div><div class="ttdeci">virtual ~ITensorHandle()</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00019">ITensorHandle.hpp:19</a></div></div>
<div class="ttc" id="a_memory_sources_8hpp_html"><div class="ttname"><a href="_memory_sources_8hpp.html">MemorySources.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a4ec32790513ea4af4c5746f1ee48fbfe"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="aclassarmnn_1_1_i_tensor_handle_html_a5cceed8b707a09bf27eb61f17acf8a88"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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="aclassarmnn_1_1_i_tensor_handle_html_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#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>
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