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| <a href="_n_e_pad_layer_8h.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 (c) 2018-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></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="preprocessor">#ifndef __ARM_COMPUTE_NEPADLAYER_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_NEPADLAYER_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_i_function_8h.xhtml">arm_compute/runtime/IFunction.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_n_e_concatenate_layer_8h.xhtml">arm_compute/runtime/NEON/functions/NEConcatenateLayer.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_n_e_strided_slice_8h.xhtml">arm_compute/runtime/NEON/functions/NEStridedSlice.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_sub_tensor_8h.xhtml">arm_compute/runtime/SubTensor.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_n_e_copy_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NECopyKernel.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_n_e_memset_kernel_8h.xhtml">arm_compute/core/NEON/kernels/NEMemsetKernel.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="runtime_2_tensor_8h.xhtml">arm_compute/runtime/Tensor.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_n_e_pad_layer.xhtml"> 44</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_n_e_pad_layer.xhtml">NEPadLayer</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_function.xhtml">IFunction</a></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1_n_e_pad_layer.xhtml#a79ddca98792472ac497d7acc81933398">NEPadLayer</a>();</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_pad_layer.xhtml#ac5a4e9c1564aa9892dfe02cdce2f55b3">configure</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> constant_value = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(), <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a> mode = <a class="code" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">PaddingMode::CONSTANT</a>);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_n_e_pad_layer.xhtml#ad225c9d90d11cba16d9b34137cdf965b">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> constant_value = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(), <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a> mode = <a class="code" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">PaddingMode::CONSTANT</a>);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_n_e_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</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> <span class="keyword">private</span>:</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">void</span> configure_constant_mode(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output, <span class="keyword">const</span> <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">padding</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> constant_value);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">void</span> configure_reflect_symmetric_mode(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> *output);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarm__compute_1_1_n_e_copy_kernel.xhtml">NECopyKernel</a> _copy_kernel;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">PaddingMode</a> _mode;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a> _padding;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarm__compute_1_1_n_e_memset_kernel.xhtml">NEMemsetKernel</a> _memset_kernel;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  uint32_t _num_dimensions;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::vector<NEStridedSlice> _slice_functions;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  std::vector<NEConcatenateLayer> _concat_functions;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::vector<Tensor> _slice_results;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  std::vector<Tensor> _concat_results;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classarm__compute_1_1_sub_tensor.xhtml">SubTensor</a> _output_subtensor;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> };</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="preprocessor">#endif </span><span class="comment">/*__ARM_COMPUTE_NEPADLAYER_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="_sub_tensor_8h_xhtml"><div class="ttname"><a href="_sub_tensor_8h.xhtml">SubTensor.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format.</div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_function_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_function.xhtml">arm_compute::IFunction</a></div><div class="ttdoc">Base class for all functions.</div><div class="ttdef"><b>Definition:</b> <a href="_i_function_8h_source.xhtml#l00030">IFunction.h:30</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ac1a1b012674e0f1de071a611391828ad"><div class="ttname"><a href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">arm_compute::PaddingList</a></div><div class="ttdeci">std::vector< PaddingInfo > PaddingList</div><div class="ttdoc">List of padding information.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00445">Types.h:445</a></div></div> |
| <div class="ttc" id="_n_e_copy_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_copy_kernel_8h.xhtml">NECopyKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_sub_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_sub_tensor.xhtml">arm_compute::SubTensor</a></div><div class="ttdoc">Basic implementation of the sub-tensor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_sub_tensor_8h_source.xhtml#l00037">SubTensor.h:37</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14d24d90ab4ba2956e92e27890ba4c91"><div class="ttname"><a href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91">arm_compute::PaddingMode</a></div><div class="ttdeci">PaddingMode</div><div class="ttdoc">Padding mode to use for PadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00155">Types.h:155</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_pad_layer_xhtml_ad225c9d90d11cba16d9b34137cdf965b"><div class="ttname"><a href="classarm__compute_1_1_n_e_pad_layer.xhtml#ad225c9d90d11cba16d9b34137cdf965b">arm_compute::NEPadLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, const PixelValue constant_value=PixelValue(), const PaddingMode mode=PaddingMode::CONSTANT)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NEPadLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_pad_layer_8cpp_source.xhtml#l00240">NEPadLayer.cpp:240</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_memset_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_memset_kernel.xhtml">arm_compute::NEMemsetKernel</a></div><div class="ttdoc">Interface for filling the planes of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_memset_kernel_8h_source.xhtml#l00037">NEMemsetKernel.h:37</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_pad_layer_xhtml_a79ddca98792472ac497d7acc81933398"><div class="ttname"><a href="classarm__compute_1_1_n_e_pad_layer.xhtml#a79ddca98792472ac497d7acc81933398">arm_compute::NEPadLayer::NEPadLayer</a></div><div class="ttdeci">NEPadLayer()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_pad_layer_8cpp_source.xhtml#l00078">NEPadLayer.cpp:78</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92"><div class="ttname"><a href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">arm_compute::PaddingMode::CONSTANT</a></div></div> |
| <div class="ttc" id="_i_function_8h_xhtml"><div class="ttname"><a href="_i_function_8h.xhtml">IFunction.h</a></div></div> |
| <div class="ttc" id="_n_e_concatenate_layer_8h_xhtml"><div class="ttname"><a href="_n_e_concatenate_layer_8h.xhtml">NEConcatenateLayer.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_pad_layer_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_n_e_pad_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::NEPadLayer::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_pad_layer_8cpp_source.xhtml#l00288">NEPadLayer.cpp:288</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_pad_layer_xhtml_ac5a4e9c1564aa9892dfe02cdce2f55b3"><div class="ttname"><a href="classarm__compute_1_1_n_e_pad_layer.xhtml#ac5a4e9c1564aa9892dfe02cdce2f55b3">arm_compute::NEPadLayer::configure</a></div><div class="ttdeci">void configure(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value=PixelValue(), const PaddingMode mode=PaddingMode::CONSTANT)</div><div class="ttdoc">Initialize the function.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_pad_layer_8cpp_source.xhtml#l00201">NEPadLayer.cpp:201</a></div></div> |
| <div class="ttc" id="_n_e_memset_kernel_8h_xhtml"><div class="ttname"><a href="_n_e_memset_kernel_8h.xhtml">NEMemsetKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_pad_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_pad_layer.xhtml">arm_compute::NEPadLayer</a></div><div class="ttdoc">Basic function to pad a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_pad_layer_8h_source.xhtml#l00044">NEPadLayer.h:44</a></div></div> |
| <div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div> |
| <div class="ttc" id="runtime_2_tensor_8h_xhtml"><div class="ttname"><a href="runtime_2_tensor_8h.xhtml">Tensor.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a735a025fce26c1ef147b54426df18181"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a735a025fce26c1ef147b54426df18181">arm_compute::test::validation::padding</a></div><div class="ttdeci">const PaddingSize padding</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_absolute_difference_8cpp_source.xhtml#l00113">AbsoluteDifference.cpp:113</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_n_e_copy_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_n_e_copy_kernel.xhtml">arm_compute::NECopyKernel</a></div><div class="ttdoc">NEON kernel to perform a copy between two tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_copy_kernel_8h_source.xhtml#l00035">NECopyKernel.h:35</a></div></div> |
| <div class="ttc" id="_n_e_strided_slice_8h_xhtml"><div class="ttname"><a href="_n_e_strided_slice_8h.xhtml">NEStridedSlice.h</a></div></div> |
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