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| <a href="_c_l_g_e_m_m_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) 2016-2019 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_CLGEMM_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_CLGEMM_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="_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyKernel.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedKernel.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.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_g_e_m_m_reshape_l_h_s_matrix_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMReshapeLHSMatrixKernel.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_g_e_m_m_reshape_r_h_s_matrix_kernel_8h.xhtml">arm_compute/core/CL/kernels/CLGEMMReshapeRHSMatrixKernel.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_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</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="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_i_memory_manager_8h.xhtml">arm_compute/runtime/IMemoryManager.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="_i_weights_manager_8h.xhtml">arm_compute/runtime/IWeightsManager.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="_memory_group_8h.xhtml">arm_compute/runtime/MemoryGroup.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>weights_transformations</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> {<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">/** Basic function to manage the reshape weights generated from @ref CLGEMMReshapeRHSMatrixKernel */</span></div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml"> 45</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml">CLGEMMReshapeRHSMatrixKernelManaged</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_transform_weights.xhtml">ITransformWeights</a></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">//Inherited method override</span></div><div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad1717410afd0be936c6213a63c8005fb"> 49</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>()<span class="keyword"> override</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  _output.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">allocator</a>()-><a class="code" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">allocate</a>();</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(_kernel, <span class="keyword">false</span>);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  _reshape_run = <span class="keyword">true</span>;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">//Inherited method override</span></div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438"> 57</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438">release</a>()<span class="keyword"> override</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  _output.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">allocator</a>()-><a class="code" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a1468b0adb6ec3f9d38aa7d60b8a91974">free</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> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">//Inherited method override</span></div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a72297d6c4e315c6bfcdb499eda5c9a63"> 63</a></span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *<a class="code" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a72297d6c4e315c6bfcdb499eda5c9a63">get_weights</a>()<span class="keyword"> override</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">return</span> &_output;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="comment">//Inherited method override</span></div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a6bd1bbf5326b5dd9bd821d6c8caf1dac"> 69</a></span>  uint32_t <a class="code" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a6bd1bbf5326b5dd9bd821d6c8caf1dac">uid</a>()<span class="keyword"> override</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> _uid;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</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"> /** Configures the @ref CLGEMMReshapeRHSMatrixKernel kernel</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 Input tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> * @param[in] info RHS matrix information to be used for reshaping.</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> */</span></div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a04d34c367b3cb2af5f89f2b9eb402b23"> 79</a></span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a04d34c367b3cb2af5f89f2b9eb402b23">configure</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#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, <a class="code" href="structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml">GEMMRHSMatrixInfo</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>)</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  _kernel.<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#aa0b0eaffc9a83e1a6495d957b63bbccc">configure</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a8fcf2ddd9a1d58b1b280f5c0aed71845">input</a>, &_output, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">info</a>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">static</span> constexpr uint32_t _uid = 0x15;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _output{};</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml">CLGEMMReshapeRHSMatrixKernel</a> _kernel{};</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> };</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> } <span class="comment">// namespace weights_transformations</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"></span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment">/** Basic function to execute GEMM on OpenCL. This function calls the following OpenCL kernels:</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"> *</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> * -# @ref CLGEMMReshapeLHSMatrixKernel (only if the RESHAPED_V1 is selected by the heuristic model)</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> * -# @ref CLGEMMReshapeRHSMatrixKernel (only if either the RESHAPED_V1 or RESHAPED_ONLY_RHS is selected by the select_gemm_type method())</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> * -# @ref CLGEMMMatrixMultiplyKernel (only if either the NATIVE or RESHAPED_V1 is selected by the select_gemm_type method())</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> * -# @ref CLGEMMMatrixMultiplyReshapedKernel (only if RESHAPED_V1 is selected by the select_gemm_type method())</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> * -# @ref CLGEMMMatrixMultiplyReshapedOnlyRHSKernel (only if RESHAPED_ONLY_RHS is selected by the select_gemm_type method())</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> *</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> */</span></div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml"> 100</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</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="l00101"></a><span class="lineno"> 101</span> {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> /** Default constructor.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> *</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> * @param[in] memory_manager (Optional) Memory manager.</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> * @param[in] weights_manager (Optional) Weights manager.</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> */</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa970e5dc11c839c0729f64114cac2324">CLGEMM</a>(std::shared_ptr<IMemoryManager> memory_manager = <span class="keyword">nullptr</span>, <a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml">IWeightsManager</a> *weights_manager = <span class="keyword">nullptr</span>);<span class="comment"></span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa970e5dc11c839c0729f64114cac2324">CLGEMM</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> /** Default move constructor */</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa970e5dc11c839c0729f64114cac2324">CLGEMM</a>(<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"> /** Default move assignment operator */</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">CLGEMM</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> /** Initialise the kernel's inputs and output</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> *</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> * @note GEMM: General Matrix Multiply - [alpha * A * B + beta * C].</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> *</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"> * @note All tensors must have the same data type.</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="comment"> *</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="comment"> * @note Whilst the first input tensor can be a vector, the second input tensor must be at least a matrix</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="comment"> *</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment"> * @param[in] a First input tensor (Matrix or Vector A). Data types supported: F16/F32</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment"> * @param[in] b Second input tensor (Matrix B). Data type supported: same as @p a.</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment"> * @param[in] c Third input tensor (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a.</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment"> * @param[out] output Output tensor. Data type supported: same as @p a</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="comment"> * @param[in] alpha Weight of the matrix product</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment"> * @param[in] beta Weight of matrix C</span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="comment"> * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="comment"> * if the reshape of matrix B should happen only for the first run. GEMMInfo also contains information about the reshaping</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> * in case matrix A and matrix B have been already transformed.</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="comment"> */</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a34e7b882208ff6720bad2e4f2c7565c5">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *c, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info = <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>());<span class="comment"></span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="comment"> /** Static function to check if given info will lead to a valid configuration of @ref CLGEMM.</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> *</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="comment"> * @param[in] a First input tensor info (Matrix or Vector A). Data types supported: F16/F32</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment"> * @param[in] b Second input tensor info (Matrix B). Data type supported: same as @p a.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="comment"> * @param[in] c Third input tensor info (Matrix C). It can be a nullptr if just the multiplication between @p a and @p b is needed. Data type supported: same as @p a.</span></div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="comment"> * @param[in] output Output tensor info. Data type supported: same as @p a</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="comment"> * @param[in] alpha Weight of the matrix product</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="comment"> * @param[in] beta Weight of matrix C</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> <span class="comment"> * @param[in] gemm_info (Optional) Specifies if the matrix A and/or matrix B have been reshaped and</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="comment"> * if the reshape of matrix B should happen only for the first run</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="comment"> *</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="comment"> * @return a status</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="comment"> */</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</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_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *c, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info = <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a>());</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">run</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">prepare</a>() <span class="keyword">override</span>;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keyword">enum class</span> GEMMType</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  NATIVE,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  RESHAPED_V1,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  RESHAPED_V2,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  RESHAPED_ONLY_RHS</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  };</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="comment">// TODO (COMPMID-2095)</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">static</span> GEMMType select_gemm_type(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> m, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> n, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> k, <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>, <span class="keywordtype">bool</span> reshape_b_only_on_first_run, <a class="code" href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">GPUTarget</a> gpu_target);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordtype">void</span> configure_native(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *c, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">void</span> configure_reshaped_v1(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *c, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">void</span> configure_reshaped_v2(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *c, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">void</span> configure_reshaped_only_rhs(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *c, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> validate_native(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *c, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> validate_reshaped_v1(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *c, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> validate_reshaped_v2(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *c, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">static</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> validate_reshaped_only_rhs(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *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#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *c, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output, <span class="keywordtype">float</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">alpha</a>, <span class="keywordtype">float</span> beta, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_g_e_m_m_info.xhtml">GEMMInfo</a> &gemm_info);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="classarm__compute_1_1_memory_group.xhtml">MemoryGroup</a> _memory_group;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarm__compute_1_1_i_weights_manager.xhtml">IWeightsManager</a> *_weights_manager;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml">CLGEMMMatrixMultiplyKernel</a> _mm_kernel;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml">CLGEMMReshapeLHSMatrixKernel</a> _reshape_lhs_kernel;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml">CLGEMMReshapeRHSMatrixKernel</a> _reshape_rhs_kernel;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml">weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged</a> _reshape_rhs_kernel_managed;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> _mm_reshaped_kernel;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml">CLGEMMMatrixMultiplyReshapedOnlyRHSKernel</a> _mm_reshaped_only_rhs_kernel;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _tmp_a;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> _tmp_b;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_original_b;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordtype">bool</span> _reshape_b_only_on_first_run;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordtype">bool</span> _is_prepared;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  GEMMType _gemm_type;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> };</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_CLGEMM_H */</span><span class="preprocessor"></span></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_g_e_m_m_xhtml_aa9b93ef660fc3c5b4b19d3fc7b891b77"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa9b93ef660fc3c5b4b19d3fc7b891b77">arm_compute::CLGEMM::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_g_e_m_m_8cpp_source.xhtml#l00720">CLGEMM.cpp:720</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_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8h.xhtml">CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLGEMM::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_g_e_m_m_8cpp_source.xhtml#l00639">CLGEMM.cpp:639</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor< float > b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_aa970e5dc11c839c0729f64114cac2324"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aa970e5dc11c839c0729f64114cac2324">arm_compute::CLGEMM::CLGEMM</a></div><div class="ttdeci">CLGEMM(std::shared_ptr< IMemoryManager > memory_manager=nullptr, IWeightsManager *weights_manager=nullptr)</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8cpp_source.xhtml#l00050">CLGEMM.cpp:50</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00099">CLScheduler.cpp:99</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml">arm_compute::CLGEMMReshapeRHSMatrixKernel</a></div><div class="ttdoc">OpenCL kernel to reshape the RHS matrix when performing the matrix multiplication In particular,...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8h_source.xhtml#l00036">CLGEMMReshapeRHSMatrixKernel.h:36</a></div></div> |
| <div class="ttc" id="_i_memory_manager_8h_xhtml"><div class="ttname"><a href="_i_memory_manager_8h.xhtml">IMemoryManager.h</a></div></div> |
| <div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.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_c_l_tensor_xhtml_a4083de30daebd6bdee6b35d9c8262108"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a4083de30daebd6bdee6b35d9c8262108">arm_compute::CLTensor::allocator</a></div><div class="ttdeci">CLTensorAllocator * allocator()</div><div class="ttdoc">Return a pointer to the tensor's allocator.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8cpp_source.xhtml#l00061">CLTensor.cpp:61</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_c_l_g_e_m_m_xhtml_aebefa7576807b8b316ea46c242949039"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#aebefa7576807b8b316ea46c242949039">arm_compute::CLGEMM::operator=</a></div><div class="ttdeci">CLGEMM & operator=(const CLGEMM &)=delete</div><div class="ttdoc">Prevent instances of this class from being copied (As this class contains pointers)</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="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the transformation function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00049">CLGEMM.h:49</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_kernel.xhtml">arm_compute::CLGEMMMatrixMultiplyKernel</a></div><div class="ttdoc">OpenCL kernel to multiply two input matrices "A" and "B" and add a martix "C" if provided.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_matrix_multiply_kernel_8h_source.xhtml#l00042">CLGEMMMatrixMultiplyKernel.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed_xhtml_ad7ed3842c3160ae4b9f51acbf4564438"><div class="ttname"><a href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#ad7ed3842c3160ae4b9f51acbf4564438">arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged::release</a></div><div class="ttdeci">void release() override</div><div class="ttdoc">Release transformed weights memory.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00057">CLGEMM.h:57</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml">arm_compute::GEMMRHSMatrixInfo</a></div><div class="ttdoc">GEMM RHS (Right Hand Side) matrix information.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01969">Types.h:1969</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml">arm_compute::CLGEMM</a></div><div class="ttdoc">Basic function to execute GEMM on OpenCL.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00100">CLGEMM.h:100</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel.xhtml">arm_compute::CLGEMMMatrixMultiplyReshapedOnlyRHSKernel</a></div><div class="ttdoc">OpenCL kernel to multiply matrices when only the input matrix RHS (input1) has been reshaped.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_matrix_multiply_reshaped_only_r_h_s_kernel_8h_source.xhtml#l00039">CLGEMMMatrixMultiplyReshapedOnlyRHSKernel.h:39</a></div></div> |
| <div class="ttc" id="_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8h.xhtml">CLGEMMReshapeRHSMatrixKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed_xhtml_a72297d6c4e315c6bfcdb499eda5c9a63"><div class="ttname"><a href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a72297d6c4e315c6bfcdb499eda5c9a63">arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged::get_weights</a></div><div class="ttdeci">ICLTensor * get_weights() override</div><div class="ttdoc">Get a pointer to the transformed weights.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00063">CLGEMM.h:63</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3161c2c93c655dd30953372064ec627b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3161c2c93c655dd30953372064ec627b">arm_compute::test::validation::alpha</a></div><div class="ttdeci">const float alpha</div><div class="ttdef"><b>Definition:</b> <a href="_n_e_o_n_2_accumulate_8cpp_source.xhtml#l00103">Accumulate.cpp:103</a></div></div> |
| <div class="ttc" id="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h.xhtml">CLGEMMMatrixMultiplyReshapedKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_weights_manager_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_weights_manager.xhtml">arm_compute::IWeightsManager</a></div><div class="ttdoc">Weights manager interface to handle weights transformations.</div><div class="ttdef"><b>Definition:</b> <a href="_i_weights_manager_8h_source.xhtml#l00036">IWeightsManager.h:36</a></div></div> |
| <div class="ttc" id="_memory_group_8h_xhtml"><div class="ttname"><a href="_memory_group_8h.xhtml">MemoryGroup.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ae1a643e517f50bf0392fb6516dd7cf67"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">arm_compute::CLScheduler::enqueue</a></div><div class="ttdeci">void enqueue(ICLKernel &kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00154">CLScheduler.cpp:154</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed_xhtml_a6bd1bbf5326b5dd9bd821d6c8caf1dac"><div class="ttname"><a href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a6bd1bbf5326b5dd9bd821d6c8caf1dac">arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged::uid</a></div><div class="ttdeci">uint32_t uid() override</div><div class="ttdoc">Function that returns a unique id of the reshape function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00069">CLGEMM.h:69</a></div></div> |
| <div class="ttc" id="_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8h.xhtml">CLGEMMReshapeLHSMatrixKernel.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed_xhtml_a04d34c367b3cb2af5f89f2b9eb402b23"><div class="ttname"><a href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml#a04d34c367b3cb2af5f89f2b9eb402b23">arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, GEMMRHSMatrixInfo info)</div><div class="ttdoc">Configures the CLGEMMReshapeRHSMatrixKernel kernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00079">CLGEMM.h:79</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_allocator_xhtml_a6e509c2a177b0b29e9e2369535094dee"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">arm_compute::CLTensorAllocator::allocate</a></div><div class="ttdeci">void allocate() override</div><div class="ttdoc">Allocate size specified by TensorInfo of OpenCL memory.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_allocator_8cpp_source.xhtml#l00127">CLTensorAllocator.cpp:127</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed_xhtml"><div class="ttname"><a href="classarm__compute_1_1weights__transformations_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_managed.xhtml">arm_compute::weights_transformations::CLGEMMReshapeRHSMatrixKernelManaged</a></div><div class="ttdoc">Basic function to manage the reshape weights generated from CLGEMMReshapeRHSMatrixKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8h_source.xhtml#l00045">CLGEMM.h:45</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="_c_l_g_e_m_m_matrix_multiply_kernel_8h_xhtml"><div class="ttname"><a href="_c_l_g_e_m_m_matrix_multiply_kernel_8h.xhtml">CLGEMMMatrixMultiplyKernel.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a735ac6c2a02e320969625308810444f3"><div class="ttname"><a href="namespacearm__compute.xhtml#a735ac6c2a02e320969625308810444f3">arm_compute::GPUTarget</a></div><div class="ttdeci">GPUTarget</div><div class="ttdoc">Available GPU Targets.</div><div class="ttdef"><b>Definition:</b> <a href="_g_p_u_target_8h_source.xhtml#l00034">GPUTarget.h:34</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_a34e7b882208ff6720bad2e4f2c7565c5"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a34e7b882208ff6720bad2e4f2c7565c5">arm_compute::CLGEMM::configure</a></div><div class="ttdeci">void configure(const ICLTensor *a, const ICLTensor *b, const ICLTensor *c, ICLTensor *output, float alpha, float beta, const GEMMInfo &gemm_info=GEMMInfo())</div><div class="ttdoc">Initialise the kernel's inputs and output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8cpp_source.xhtml#l00537">CLGEMM.cpp:537</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="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_xhtml_aa0b0eaffc9a83e1a6495d957b63bbccc"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel.xhtml#aa0b0eaffc9a83e1a6495d957b63bbccc">arm_compute::CLGEMMReshapeRHSMatrixKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *output, const GEMMRHSMatrixInfo &rhs_info)</div><div class="ttdoc">Initialise the kernel's input and output.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_reshape_r_h_s_matrix_kernel_8cpp_source.xhtml#l00102">CLGEMMReshapeRHSMatrixKernel.cpp:102</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_allocator_xhtml_a1468b0adb6ec3f9d38aa7d60b8a91974"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a1468b0adb6ec3f9d38aa7d60b8a91974">arm_compute::CLTensorAllocator::free</a></div><div class="ttdeci">void free() override</div><div class="ttdoc">Free allocated OpenCL memory.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_allocator_8cpp_source.xhtml#l00159">CLTensorAllocator.cpp:159</a></div></div> |
| <div class="ttc" id="_i_weights_manager_8h_xhtml"><div class="ttname"><a href="_i_weights_manager_8h.xhtml">IWeightsManager.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_transform_weights_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_transform_weights.xhtml">arm_compute::ITransformWeights</a></div><div class="ttdoc">Weights tensor transform interface In order to identify the different reshape functions,...</div><div class="ttdef"><b>Definition:</b> <a href="_i_transform_weights_8h_source.xhtml#l00056">ITransformWeights.h:56</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_xhtml_a3493ba7d1f2057740ff5931fa00a44ac"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m.xhtml#a3493ba7d1f2057740ff5931fa00a44ac">arm_compute::CLGEMM::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *a, const ITensorInfo *b, const ITensorInfo *c, const ITensorInfo *output, float alpha, float beta, const GEMMInfo &gemm_info=GEMMInfo())</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLGEMM.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_8cpp_source.xhtml#l00592">CLGEMM.cpp:592</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_g_e_m_m_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_g_e_m_m_info.xhtml">arm_compute::GEMMInfo</a></div><div class="ttdoc">GEMM information class.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01983">Types.h:1983</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel.xhtml">arm_compute::CLGEMMReshapeLHSMatrixKernel</a></div><div class="ttdoc">OpenCL kernel to reshape the LHS matrix when performing the matrix multiplication.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_reshape_l_h_s_matrix_kernel_8h_source.xhtml#l00037">CLGEMMReshapeLHSMatrixKernel.h:37</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00138">ArithmeticAddition.cpp:138</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a4f4125dba5283887b34f889b1c615c0c"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a4f4125dba5283887b34f889b1c615c0c">arm_compute::test::validation::info</a></div><div class="ttdeci">info</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">arm_compute::CLGEMMMatrixMultiplyReshapedKernel</a></div><div class="ttdoc">OpenCL kernel to multiply matrices when both the input matrices LHS (input0) and RHS (input1) have be...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h_source.xhtml#l00039">CLGEMMMatrixMultiplyReshapedKernel.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00075">Types.h:75</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> |
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