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<div class="title">NeonStridedSliceWorkload.cpp</div> </div>
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<a href="_neon_strided_slice_workload_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 © 2019-2023 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">#include &quot;<a class="code" href="_neon_strided_slice_workload_8hpp.html">NeonStridedSliceWorkload.hpp</a>&quot;</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 &quot;<a class="code" href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a>&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_neon_tensor_handle_8hpp.html">neon/NeonTensorHandle.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="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.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="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_numeric_cast_8hpp.html">armnn/utility/NumericCast.hpp</a>&gt;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_utils_8hpp.html">backendsCommon/WorkloadUtils.hpp</a>&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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</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; </div>
<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ac71d08bf1257807c112b4d019802acc3"> 19</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#ac71d08bf1257807c112b4d019802acc3">NeonStridedSliceWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_descriptor.html">StridedSliceDescriptor</a>&amp; descriptor)</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;{</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input,</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output,</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</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="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> starts;</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> ends;</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> strides;</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; std::tie(starts, ends, strides) = <a class="code" href="namespacearmnn.html#a01d1e745f360ccd0b655214645bcef32">SetNeonStridedSliceData</a>(descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a118fe06b7c2599da60398ee311ede923">m_Begin</a>,</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#aa68194dd6258ab5b04123005a066ea25">m_End</a>,</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">m_Stride</a>);</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; </div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="keyword">auto</span> numDimensions = armnn::numeric_cast&lt;int&gt;(input.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; int32_t begin_mask = <a class="code" href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">ConvertMaskToACLFormat</a>(descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a61081be1483984e33db452c75d569f51">m_BeginMask</a>, numDimensions);</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; int32_t end_mask = <a class="code" href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">ConvertMaskToACLFormat</a>(descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a>, numDimensions);</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; int32_t shrink_axis_mask = <a class="code" href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">ConvertMaskToACLFormat</a>(descriptor.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a>, numDimensions);</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">return</span> arm_compute::NEStridedSlice::validate(&amp;aclInput,</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; &amp;aclOutput,</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; starts,</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; ends,</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; strides,</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; begin_mask,</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; end_mask,</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; shrink_axis_mask);</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;}</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; </div>
<div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_strided_slice_workload.html#aa29e48678619feee23a25e04168fa3b8"> 51</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_strided_slice_workload.html#aa29e48678619feee23a25e04168fa3b8">NeonStridedSliceWorkload::NeonStridedSliceWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_strided_slice_queue_descriptor.html">StridedSliceQueueDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info)</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; : <a class="code" href="classarmnn_1_1_neon_base_workload.html">NeonBaseWorkload</a>&lt;<a class="code" href="structarmnn_1_1_strided_slice_queue_descriptor.html">StridedSliceQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</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="comment">// Report Profiling Details</span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;NeonStridedSliceWorkload_Construct&quot;</span>,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; this-&gt;GetGuid());</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; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonStridedSliceWorkload&quot;</span>, 1, 1);</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; arm_compute::ITensor&amp; input = PolymorphicDowncast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; arm_compute::ITensor&amp; output = PolymorphicDowncast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</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; <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> starts;</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> ends;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="namespacearmnn.html#ac6e86c1def7f674d3c4cb7f577874aa6">arm_compute::Coordinates</a> strides;</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; std::tie(starts, ends, strides) = <a class="code" href="namespacearmnn.html#a01d1e745f360ccd0b655214645bcef32">SetNeonStridedSliceData</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a118fe06b7c2599da60398ee311ede923">m_Begin</a>,</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#aa68194dd6258ab5b04123005a066ea25">m_End</a>,</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">m_Stride</a>);</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; </div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keyword">auto</span> numDimensions = armnn::numeric_cast&lt;int&gt;(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetNumDimensions());</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; int32_t begin_mask = <a class="code" href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">ConvertMaskToACLFormat</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a61081be1483984e33db452c75d569f51">m_BeginMask</a>, numDimensions);</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; int32_t end_mask = <a class="code" href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">ConvertMaskToACLFormat</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#ac37e49c0d6e6e54f9d2015d0f11f8ee7">m_EndMask</a>, numDimensions);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; int32_t shrink_axis_mask = <a class="code" href="namespacearmnn.html#ad69ffa576a596b9eb20ab6a41420c541">ConvertMaskToACLFormat</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a>, numDimensions);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; input.info()-&gt;set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; output.info()-&gt;set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keyword">auto</span> layer = std::make_unique&lt;arm_compute::NEStridedSlice&gt;();</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; layer-&gt;configure(&amp;input,</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; &amp;output,</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; starts,</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; ends,</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; strides,</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; begin_mask,</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; end_mask,</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; shrink_axis_mask);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; m_Layer.reset(layer.release());</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; </div>
<div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a"> 96</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_strided_slice_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonStridedSliceWorkload::Execute</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">&quot;NeonStridedSliceWorkload_Execute&quot;</span>);</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; m_Layer-&gt;run();</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;}</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;} <span class="comment">//namespace armnn</span></div>
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<div class="ttc" id="a_neon_strided_slice_workload_8hpp_html"><div class="ttname"><a href="_neon_strided_slice_workload_8hpp.html">NeonStridedSliceWorkload.hpp</a></div></div>
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<div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a118fe06b7c2599da60398ee311ede923"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a118fe06b7c2599da60398ee311ede923">armnn::StridedSliceDescriptor::m_Begin</a></div><div class="ttdeci">std::vector&lt; int &gt; m_Begin</div><div class="ttdoc">Begin values for the input that will be sliced.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01342">Descriptors.hpp:1342</a></div></div>
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<div class="ttc" id="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
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