| <!-- HTML header for doxygen 1.8.15--> |
| <!-- Remember to use version doxygen 1.8.15 +--> |
| <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> |
| <html xmlns="http://www.w3.org/1999/xhtml"> |
| <head> |
| <meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> |
| <meta http-equiv="X-UA-Compatible" content="IE=9"/> |
| <meta name="generator" content="Doxygen 1.8.15"/> |
| <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines --> |
| <title>Compute Library: arm_compute/runtime/CL/functions/CLFFTConvolutionLayer.h Source File</title> |
| <link href="tabs.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="jquery.js"></script> |
| <script type="text/javascript" src="dynsections.js"></script> |
| <link href="navtree.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="resize.js"></script> |
| <script type="text/javascript" src="navtreedata.js"></script> |
| <script type="text/javascript" src="navtree.js"></script> |
| <script type="text/javascript"> |
| /* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ |
| $(document).ready(initResizable); |
| /* @license-end */</script> |
| <link href="search/search.css" rel="stylesheet" type="text/css"/> |
| <script type="text/javascript" src="search/searchdata.js"></script> |
| <script type="text/javascript" src="search/search.js"></script> |
| <script type="text/x-mathjax-config"> |
| MathJax.Hub.Config({ |
| extensions: ["tex2jax.js"], |
| jax: ["input/TeX","output/HTML-CSS"], |
| }); |
| </script><script type="text/javascript" async="async" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js"></script> |
| <link href="doxygen.css" rel="stylesheet" type="text/css" /> |
| <link href="stylesheet.css" rel="stylesheet" type="text/css"/> |
| </head> |
| <body> |
| <div id="top"><!-- do not remove this div, it is closed by doxygen! --> |
| <div id="titlearea"> |
| <table cellspacing="0" cellpadding="0"> |
| <tbody> |
| <tr style="height: 56px;"> |
| <img alt="Compute Library" src="https://raw.githubusercontent.com/ARM-software/ComputeLibrary/gh-pages/ACL_logo.png" style="max-width: 100%;margin-top: 15px;margin-left: 10px"/> |
| <td style="padding-left: 0.5em;"> |
| <div id="projectname"> |
|  <span id="projectnumber">20.02.1</span> |
| </div> |
| </td> |
| </tr> |
| </tbody> |
| </table> |
| </div> |
| <!-- end header part --> |
| <!-- Generated by Doxygen 1.8.15 --> |
| <script type="text/javascript"> |
| /* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ |
| var searchBox = new SearchBox("searchBox", "search",false,'Search'); |
| /* @license-end */ |
| </script> |
| <script type="text/javascript" src="menudata.js"></script> |
| <script type="text/javascript" src="menu.js"></script> |
| <script type="text/javascript"> |
| /* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ |
| $(function() { |
| initMenu('',true,false,'search.php','Search'); |
| $(document).ready(function() { init_search(); }); |
| }); |
| /* @license-end */</script> |
| <div id="main-nav"></div> |
| </div><!-- top --> |
| <div id="side-nav" class="ui-resizable side-nav-resizable"> |
| <div id="nav-tree"> |
| <div id="nav-tree-contents"> |
| <div id="nav-sync" class="sync"></div> |
| </div> |
| </div> |
| <div id="splitbar" style="-moz-user-select:none;" |
| class="ui-resizable-handle"> |
| </div> |
| </div> |
| <script type="text/javascript"> |
| /* @license magnet:?xt=urn:btih:cf05388f2679ee054f2beb29a391d25f4e673ac3&dn=gpl-2.0.txt GPL-v2 */ |
| $(document).ready(function(){initNavTree('_c_l_f_f_t_convolution_layer_8h_source.xhtml','');}); |
| /* @license-end */ |
| </script> |
| <div id="doc-content"> |
| <!-- window showing the filter options --> |
| <div id="MSearchSelectWindow" |
| onmouseover="return searchBox.OnSearchSelectShow()" |
| onmouseout="return searchBox.OnSearchSelectHide()" |
| onkeydown="return searchBox.OnSearchSelectKey(event)"> |
| </div> |
| |
| <!-- iframe showing the search results (closed by default) --> |
| <div id="MSearchResultsWindow"> |
| <iframe src="javascript:void(0)" frameborder="0" |
| name="MSearchResults" id="MSearchResults"> |
| </iframe> |
| </div> |
| |
| <div class="header"> |
| <div class="headertitle"> |
| <div class="title">CLFFTConvolutionLayer.h</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="_c_l_f_f_t_convolution_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) 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_CLFFTCONVOLUTIONLAYER_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_CLFFTCONVOLUTIONLAYER_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> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</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="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_c_l_activation_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLActivationLayer.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_c_l_elementwise_operations_8h.xhtml">arm_compute/runtime/CL/functions/CLElementwiseOperations.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="_c_l_f_f_t2_d_8h.xhtml">arm_compute/runtime/CL/functions/CLFFT2D.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_c_l_pad_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLPadLayer.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_c_l_permute_8h.xhtml">arm_compute/runtime/CL/functions/CLPermute.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_c_l_pixel_wise_multiplication_8h.xhtml">arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_c_l_reduction_operation_8h.xhtml">arm_compute/runtime/CL/functions/CLReductionOperation.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_c_l_reshape_layer_8h.xhtml">arm_compute/runtime/CL/functions/CLReshapeLayer.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="_c_l_reverse_8h.xhtml">arm_compute/runtime/CL/functions/CLReverse.h</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="_c_l_slice_8h.xhtml">arm_compute/runtime/CL/functions/CLSlice.h</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment">// Forward declarations</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment">/** Basic function to execute FFT-based convolution on OpenCL. This function calls the following OpenCL functions/kernels:</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"> * -# @ref CLPermute Permute input if NHWC(only NCHW is supported).</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> * -# @ref CLPadLayer Pad input.</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * -# @ref CLFFT2D Forward transform to the frequency domain.</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> * -# @ref CLComplexPixelWiseMultiplication Complex element-wise product of input and the weights.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> * -# @ref CLReductionOperation Reduction across channels.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * -# @ref CLFFT2D Inverse transform back to the time domain.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * -# @ref CLStridedSlice Extract valid output.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * -# @ref CLArithmeticAddition Add bias.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * -# @ref CLActivationLayer Perform activation.</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> * -# @ref CLPermute Permute output if NHWC(only NCHW is supported).</span></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"><a class="line" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml"> 59</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">CLFFTConvolutionLayer</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="l00060"></a><span class="lineno"> 60</span> {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> /** Default constructor */</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ae371a3c56f6e284fd584a7bcde82e4a8">CLFFTConvolutionLayer</a>(std::shared_ptr<IMemoryManager> memory_manager = <span class="keyword">nullptr</span>);<span class="comment"></span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ae371a3c56f6e284fd584a7bcde82e4a8">CLFFTConvolutionLayer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">CLFFTConvolutionLayer</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /** Default move constructor */</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ae371a3c56f6e284fd584a7bcde82e4a8">CLFFTConvolutionLayer</a>(<a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">CLFFTConvolutionLayer</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">CLFFTConvolutionLayer</a> &<a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#a195ca903e924dc816f302e1d0ed26c53">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">CLFFTConvolutionLayer</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> /** Default move assignment operator */</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">CLFFTConvolutionLayer</a> &<a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#a195ca903e924dc816f302e1d0ed26c53">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">CLFFTConvolutionLayer</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> /** Set the input and output tensors.</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"> *</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> * @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> *</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> * while every optional dimension from 4 and above represent a batch of inputs.</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> * Data types supported: F32.</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as @p input</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> * Data types supported: Same as @p input.</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> * @param[in] act_info (Optional) Activation layer information in case of a fused activation.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> */</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c">configure</a>(<a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *biases, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a> = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());<span class="comment"></span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> /** Static function to check if given info will lead to a valid configuration of @ref CLFFTConvolutionLayer</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> *</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> * @note: This function only works with any square kernel size and unit strides for both NCHW and NHWC data layout</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> *</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"> * @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> * while every optional dimension from 4 and above represent a batch of inputs.</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> * Data types supported: F32.</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> * @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].Data type supported: Same as @p input</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> * @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> * Data types supported: Same as @p input.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> * @param[in] conv_info Contains padding and stride information described in @ref PadStrideInfo.</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> * @param[in] act_info (Optional) Activation layer information in case of a fused activation.</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> *</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> * @return a status</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> */</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</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_c_l_f_f_t_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *biases, <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="classarm__compute_1_1_pad_stride_info.xhtml">PadStrideInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">conv_info</a>,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">act_info</a> = <a class="code" href="classarm__compute_1_1_activation_layer_info.xhtml">ActivationLayerInfo</a>());</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarm__compute_1_1_memory_group.xhtml">MemoryGroup</a> _memory_group;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classarm__compute_1_1_c_l_reverse.xhtml">CLReverse</a> _flip_weights_func;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarm__compute_1_1_c_l_permute.xhtml">CLPermute</a> _permute_input_func;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarm__compute_1_1_c_l_permute.xhtml">CLPermute</a> _permute_output_func;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classarm__compute_1_1_c_l_permute.xhtml">CLPermute</a> _permute_weights_func;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classarm__compute_1_1_c_l_permute.xhtml">CLPermute</a> _permute_bias_func;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="classarm__compute_1_1_c_l_pad_layer.xhtml">CLPadLayer</a> _pad_input_func;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarm__compute_1_1_c_l_pad_layer.xhtml">CLPadLayer</a> _pad_weights_func;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classarm__compute_1_1_c_l_f_f_t2_d.xhtml">CLFFT2D</a> _transform_input_func;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::unique_ptr<CLFFT2D> _transform_weights_func;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="classarm__compute_1_1_c_l_f_f_t2_d.xhtml">CLFFT2D</a> _itransform_output_func;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarm__compute_1_1_c_l_complex_pixel_wise_multiplication.xhtml">CLComplexPixelWiseMultiplication</a> _prod_func;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarm__compute_1_1_c_l_reduction_operation.xhtml">CLReductionOperation</a> _reduce_func;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarm__compute_1_1_c_l_slice.xhtml">CLSlice</a> _extract_output_func;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml">CLArithmeticAddition</a> _bias_add_func;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarm__compute_1_1_c_l_activation_layer.xhtml">CLActivationLayer</a> _activation_layer_func;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _permuted_input;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _permuted_weights;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _permuted_bias;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _permuted_output;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _padded_input;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _padded_weights;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _flip_axis;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _flipped_weights;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _transformed_input;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _transformed_weights;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _input_weights_product;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_product;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output_reduced;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _itransformed_output;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _reshaped_output;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _bias_output;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_original_weights;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_original_bias;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">bool</span> _is_activationlayer_enabled;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">bool</span> _needs_permute;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordtype">bool</span> _has_bias;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordtype">bool</span> _is_prepared;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> };</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_CLFFTCONVOLUTIONLAYER_H */</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_c_l_f_f_t_convolution_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml">arm_compute::CLFFTConvolutionLayer</a></div><div class="ttdoc">Basic function to execute FFT-based convolution on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_f_f_t_convolution_layer_8h_source.xhtml#l00059">CLFFTConvolutionLayer.h:59</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_memory_group_xhtml"><div class="ttname"><a href="classarm__compute_1_1_memory_group.xhtml">arm_compute::MemoryGroup</a></div><div class="ttdoc">Memory group.</div><div class="ttdef"><b>Definition:</b> <a href="_memory_group_8h_source.xhtml#l00043">MemoryGroup.h:43</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_reverse_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_reverse.xhtml">arm_compute::CLReverse</a></div><div class="ttdoc">Basic function to run CLReverseKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_reverse_8h_source.xhtml#l00034">CLReverse.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="_c_l_permute_8h_xhtml"><div class="ttname"><a href="_c_l_permute_8h.xhtml">CLPermute.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a1f8aca235c095df227e7444f6b237eb1"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a1f8aca235c095df227e7444f6b237eb1">arm_compute::test::validation::act_info</a></div><div class="ttdeci">act_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00183">ConvolutionLayer.cpp:183</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_f_f_t_convolution_layer_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLFFTConvolutionLayer::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="_c_l_f_f_t_convolution_layer_8cpp_source.xhtml#l00297">CLFFTConvolutionLayer.cpp:297</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a00525ff582f16038a1d3819aa44a23a3"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a00525ff582f16038a1d3819aa44a23a3">arm_compute::test::validation::conv_info</a></div><div class="ttdeci">conv_info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_winograd_8cpp_source.xhtml#l00597">Winograd.cpp:597</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_pad_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_pad_layer.xhtml">arm_compute::CLPadLayer</a></div><div class="ttdoc">Basic function to pad a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pad_layer_8h_source.xhtml#l00041">CLPadLayer.h:41</a></div></div> |
| <div class="ttc" id="_c_l_reshape_layer_8h_xhtml"><div class="ttname"><a href="_c_l_reshape_layer_8h.xhtml">CLReshapeLayer.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_complex_pixel_wise_multiplication_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_complex_pixel_wise_multiplication.xhtml">arm_compute::CLComplexPixelWiseMultiplication</a></div><div class="ttdoc">Basic function to run CLComplexPixelWiseMultiplicationKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_pixel_wise_multiplication_8h_source.xhtml#l00070">CLPixelWiseMultiplication.h:70</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_arithmetic_addition_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_arithmetic_addition.xhtml">arm_compute::CLArithmeticAddition</a></div><div class="ttdoc">Basic function to run CLSaturatedArithmeticOperationKernel for addition.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_elementwise_operations_8h_source.xhtml#l00039">CLElementwiseOperations.h:39</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_c_l_activation_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_activation_layer.xhtml">arm_compute::CLActivationLayer</a></div><div class="ttdoc">Basic function to run CLActivationLayerKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_activation_layer_8h_source.xhtml#l00039">CLActivationLayer.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_f_f_t_convolution_layer_xhtml_a2e850fb98fe28b49a41a89832e78e87c"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#a2e850fb98fe28b49a41a89832e78e87c">arm_compute::CLFFTConvolutionLayer::configure</a></div><div class="ttdeci">void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info=ActivationLayerInfo())</div><div class="ttdoc">Set the input and output tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_f_f_t_convolution_layer_8cpp_source.xhtml#l00098">CLFFTConvolutionLayer.cpp:98</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="_c_l_reverse_8h_xhtml"><div class="ttname"><a href="_c_l_reverse_8h.xhtml">CLReverse.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_activation_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_activation_layer_info.xhtml">arm_compute::ActivationLayerInfo</a></div><div class="ttdoc">Activation Layer Information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01615">Types.h:1615</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_slice_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_slice.xhtml">arm_compute::CLSlice</a></div><div class="ttdoc">Basic function to perform tensor slicing.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_slice_8h_source.xhtml#l00035">CLSlice.h:35</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) 2017-2020 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="namespacearm__compute_1_1test_1_1validation_xhtml_a8fcf2ddd9a1d58b1b280f5c0aed71845"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">arm_compute::test::validation::input</a></div><div class="ttdeci">auto input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_l_s_t_m_layer_quantized_8cpp_source.xhtml#l00487">LSTMLayerQuantized.cpp:487</a></div></div> |
| <div class="ttc" id="_c_l_elementwise_operations_8h_xhtml"><div class="ttname"><a href="_c_l_elementwise_operations_8h.xhtml">CLElementwiseOperations.h</a></div></div> |
| <div class="ttc" id="_c_l_slice_8h_xhtml"><div class="ttname"><a href="_c_l_slice_8h.xhtml">CLSlice.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_permute_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_permute.xhtml">arm_compute::CLPermute</a></div><div class="ttdoc">Basic function to execute an CLPermuteKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_permute_8h_source.xhtml#l00037">CLPermute.h:37</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml">arm_compute::PadStrideInfo</a></div><div class="ttdoc">Padding and stride information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00686">Types.h:686</a></div></div> |
| <div class="ttc" id="_c_l_reduction_operation_8h_xhtml"><div class="ttname"><a href="_c_l_reduction_operation_8h.xhtml">CLReductionOperation.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_f_f_t2_d_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t2_d.xhtml">arm_compute::CLFFT2D</a></div><div class="ttdoc">Basic function to execute two dimensional FFT.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_f_f_t2_d_8h_source.xhtml#l00044">CLFFT2D.h:44</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00042">ICLTensor.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_f_f_t_convolution_layer_xhtml_a195ca903e924dc816f302e1d0ed26c53"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#a195ca903e924dc816f302e1d0ed26c53">arm_compute::CLFFTConvolutionLayer::operator=</a></div><div class="ttdeci">CLFFTConvolutionLayer & operator=(const CLFFTConvolutionLayer &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_reduction_operation_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_reduction_operation.xhtml">arm_compute::CLReductionOperation</a></div><div class="ttdoc">Perform reduction operation.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_reduction_operation_8h_source.xhtml#l00046">CLReductionOperation.h:46</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="_c_l_pixel_wise_multiplication_8h_xhtml"><div class="ttname"><a href="_c_l_pixel_wise_multiplication_8h.xhtml">CLPixelWiseMultiplication.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_f_f_t_convolution_layer_xhtml_ae371a3c56f6e284fd584a7bcde82e4a8"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ae371a3c56f6e284fd584a7bcde82e4a8">arm_compute::CLFFTConvolutionLayer::CLFFTConvolutionLayer</a></div><div class="ttdeci">CLFFTConvolutionLayer(std::shared_ptr< IMemoryManager > memory_manager=nullptr)</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_f_f_t_convolution_layer_8cpp_source.xhtml#l00056">CLFFTConvolutionLayer.cpp:56</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_f_f_t_convolution_layer_xhtml_ac89fb11a78baf66222f50cd5ee725ebd"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#ac89fb11a78baf66222f50cd5ee725ebd">arm_compute::CLFFTConvolutionLayer::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *output, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info=ActivationLayerInfo())</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLFFTConvolutionLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_f_f_t_convolution_layer_8cpp_source.xhtml#l00253">CLFFTConvolutionLayer.cpp:253</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_f_f_t_convolution_layer_xhtml_aa9b93ef660fc3c5b4b19d3fc7b891b77"><div class="ttname"><a href="classarm__compute_1_1_c_l_f_f_t_convolution_layer.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">arm_compute::CLFFTConvolutionLayer::prepare</a></div><div class="ttdeci">void prepare() override</div><div class="ttdoc">Prepare the function for executing.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_f_f_t_convolution_layer_8cpp_source.xhtml#l00336">CLFFTConvolutionLayer.cpp:336</a></div></div> |
| <div class="ttc" id="_c_l_pad_layer_8h_xhtml"><div class="ttname"><a href="_c_l_pad_layer_8h.xhtml">CLPadLayer.h</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="_c_l_activation_layer_8h_xhtml"><div class="ttname"><a href="_c_l_activation_layer_8h.xhtml">CLActivationLayer.h</a></div></div> |
| <div class="ttc" id="_c_l_f_f_t2_d_8h_xhtml"><div class="ttname"><a href="_c_l_f_f_t2_d_8h.xhtml">CLFFT2D.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00041">CLTensor.h:41</a></div></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <!-- start footer part --> |
| <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> |
| <ul> |
| <li class="navelem"><a class="el" href="dir_214608ef36d61442cb2b0c1c4e9a7def.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="dir_8bc26130589aa16388b5a02f17abf2c2.xhtml">runtime</a></li><li class="navelem"><a class="el" href="dir_b986aa98f9b6490bb4fc7918500346fb.xhtml">CL</a></li><li class="navelem"><a class="el" href="dir_251c63bc3f70b60acf43edd6d870a3ef.xhtml">functions</a></li><li class="navelem"><a class="el" href="_c_l_f_f_t_convolution_layer_8h.xhtml">CLFFTConvolutionLayer.h</a></li> |
| <li class="footer">Generated on Thu Mar 5 2020 16:06:56 for Compute Library by |
| <a href="http://www.doxygen.org/index.html"> |
| <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.15 </li> |
| </ul> |
| </div> |
| </body> |
| </html> |
