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| <a href="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2018-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef ARM_COMPUTE_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_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_c_l_kernel_8h.xhtml">arm_compute/core/CL/ICLKernel.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="_kernel_descriptors_8h.xhtml">arm_compute/core/KernelDescriptors.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>ICLTensor;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">/** OpenCL kernel to multiply matrices when both the input matrices LHS (input0) and RHS (input1) have been reshaped</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> *</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> * @note The input matrices @p input0 and @p input1 must be reshaped through @ref CLGEMMReshapeLHSMatrixKernel and @ref CLGEMMReshapeRHSMatrixKernel</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> */</span></div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml"> 39</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1_i_c_l_kernel.xhtml">ICLKernel</a></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">public</span>:<span class="comment"></span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> /** Default Constructor */</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a6052d8909515e8ed38201f4429eb0267">CLGEMMMatrixMultiplyReshapedKernel</a>();<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a6052d8909515e8ed38201f4429eb0267">CLGEMMMatrixMultiplyReshapedKernel</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a5cbfc1be8e84436d97e5ba33b80987a3">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a6052d8909515e8ed38201f4429eb0267">CLGEMMMatrixMultiplyReshapedKernel</a>(<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> &<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a5cbfc1be8e84436d97e5ba33b80987a3">operator=</a>(<a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml">CLGEMMMatrixMultiplyReshapedKernel</a> &&) = <span class="keywordflow">default</span>;<span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /** Initialise the kernel's input and output.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> *</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @note The F16 computation also supports mixed precision through the gemm_info.fp_mixed_precision flag.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * Mixed precision combines different floating precisions during the computation, in particular, F32 for the accumulations and F16 for the</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * multiplications. i.e. float c = (half)a * (half)b</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> *</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: F16/F32. The number of dimensions for the LHS matrix must be less or equal than 4</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> * @param[in] input2 Input tensor containing the bias matrix. Data type supported: same as @p input0.</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> * @param[out] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> * @param[in] alpha Weight of the matrix product</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> * @param[in] beta Weight of the matrix bias</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> * @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported:</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> * lhs_info.m0: 2,3,4,5,6,7,8</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> * lhs_info.k0: 2,3,4,8,16</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> * lhs_info.transpose: false</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> * @param[in] rhs_info RHS matrix information used for reshaping the input1 tensor. Only the following values are supported:</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> * rhs_info.n0: 2,3,4,8,16</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> * rhs_info.k0: 2,3,4,8,16</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> * rhs_info.transpose: true</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> * @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices</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 lhs_info.k0 must be equal to rhs_info.k0</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="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#ad2542b2fac2651c613bfd688906c48b9">configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input0, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input2, <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="structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml">GEMMLHSMatrixInfo</a> &lhs_info,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml">GEMMRHSMatrixInfo</a> &rhs_info,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_g_e_m_m_kernel_info.xhtml">GEMMKernelInfo</a> &gemm_info);<span class="comment"></span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> /** Static function to check if given info will lead to a valid configuration of @ref CLGEMMMatrixMultiplyReshapedKernel</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> *</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> * @param[in] input0 Input tensor containing the LHS reshaped matrix. Data type supported: F16/F32. The number of dimensions for the LHS matrix must be less or equal than 4</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> * @param[in] input1 Input tensor containing the RHS reshaped matrix. Data type supported: same as @p input0. The number of dimensions for the RHS matrix must be less or equal than 3</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> * @param[in] input2 Input tensor info containing the bias matrix. Data type supported: same as @p input0.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> * @param[in] output Output tensor to store the result of matrix multiplication. Data type supported: same as @p input0</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> * @param[in] alpha Weight of the matrix product</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> * @param[in] beta Weight of the matrix bias</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> * @param[in] lhs_info LHS matrix information used for reshaping the input0 tensor. Only the following values are supported:</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> * lhs_info.m0: 2,3,4,5,6,7,8</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"> * lhs_info.k0: 2,3,4,8,16</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> * lhs_info.transpose: false</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> * @param[in] rhs_info RHS matrix information used for reshaping the input1 tensor. Only the following values are supported:</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"> * rhs_info.n0: 2,3,4,8,16</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> * rhs_info.k0: 2,3,4,8,16</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> * rhs_info.transpose: true</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> * @param[in] gemm_info GEMM information used to retrieve the original dimensions of the input matrices</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> *</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> * @note lhs_info.k0 must be equal to rhs_info.k0</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"> * @return a status</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> */</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</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_matrix_multiply_reshaped_kernel.xhtml#ac8ea7ac4c471d6d9b9f87d98cd4f0344">validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input0, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input1, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input2, <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="structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml">GEMMLHSMatrixInfo</a> &lhs_info,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_g_e_m_m_r_h_s_matrix_info.xhtml">GEMMRHSMatrixInfo</a> &rhs_info,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1_g_e_m_m_kernel_info.xhtml">GEMMKernelInfo</a> &gemm_info);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Inherited methods overridden:</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">run</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_window.xhtml">Window</a> &<a class="code" href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">window</a>, cl::CommandQueue &queue) <span class="keyword">override</span>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input0;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input1;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_input2;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *_output;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordtype">bool</span> _slide_matrix_b;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">bool</span> _reinterpret_output_as_3d;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> _k;</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordtype">bool</span> _use_dummy_work_items;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">bool</span> _add_bias;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">bool</span> _broadcast_bias;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="preprocessor">#endif </span><span class="comment">/*ARM_COMPUTE_CLGEMMMATRIXMULTIPLYRESHAPEDKERNEL_H*/</span><span class="preprocessor"></span></div><div class="ttc" id="classarm__compute_1_1_i_kernel_xhtml_ad34a46f53686c12a5c5e717cc9617fb6"><div class="ttname"><a href="classarm__compute_1_1_i_kernel.xhtml#ad34a46f53686c12a5c5e717cc9617fb6">arm_compute::IKernel::window</a></div><div class="ttdeci">const Window & window() const</div><div class="ttdoc">The maximum window the kernel can be executed on.</div><div class="ttdef"><b>Definition:</b> <a href="_i_kernel_8cpp_source.xhtml#l00028">IKernel.cpp:28</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_xhtml_ac8ea7ac4c471d6d9b9f87d98cd4f0344"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#ac8ea7ac4c471d6d9b9f87d98cd4f0344">arm_compute::CLGEMMMatrixMultiplyReshapedKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLGEMMMatrixMultiplyResh...</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8cpp_source.xhtml#l00315">CLGEMMMatrixMultiplyReshapedKernel.cpp:315</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_xhtml_a493987e85723a8000eb26d1f00e2ad0e"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a493987e85723a8000eb26d1f00e2ad0e">arm_compute::CLGEMMMatrixMultiplyReshapedKernel::run</a></div><div class="ttdeci">void run(const Window &window, cl::CommandQueue &queue) override</div><div class="ttdoc">Enqueue the OpenCL kernel to process the given window on the passed OpenCL command queue.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8cpp_source.xhtml#l00334">CLGEMMMatrixMultiplyReshapedKernel.cpp:334</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_g_e_m_m_kernel_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_g_e_m_m_kernel_info.xhtml">arm_compute::GEMMKernelInfo</a></div><div class="ttdoc">Descriptor used by the GEMM kernels.</div><div class="ttdef"><b>Definition:</b> <a href="_kernel_descriptors_8h_source.xhtml#l00055">KernelDescriptors.h:55</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_xhtml_ad2542b2fac2651c613bfd688906c48b9"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#ad2542b2fac2651c613bfd688906c48b9">arm_compute::CLGEMMMatrixMultiplyReshapedKernel::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input0, const ICLTensor *input1, const ICLTensor *input2, ICLTensor *output, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_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_matrix_multiply_reshaped_kernel_8cpp_source.xhtml#l00215">CLGEMMMatrixMultiplyReshapedKernel.cpp:215</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info_xhtml"><div class="ttname"><a href="structarm__compute_1_1_g_e_m_m_l_h_s_matrix_info.xhtml">arm_compute::GEMMLHSMatrixInfo</a></div><div class="ttdoc">GEMM LHS (Left Hand Side) matrix information.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l01959">Types.h:1959</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_kernel_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_kernel.xhtml">arm_compute::ICLKernel</a></div><div class="ttdoc">Common interface for all the OpenCL kernels.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_kernel_8h_source.xhtml#l00043">ICLKernel.h:43</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_xhtml_a5cbfc1be8e84436d97e5ba33b80987a3"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a5cbfc1be8e84436d97e5ba33b80987a3">arm_compute::CLGEMMMatrixMultiplyReshapedKernel::operator=</a></div><div class="ttdeci">CLGEMMMatrixMultiplyReshapedKernel & operator=(const CLGEMMMatrixMultiplyReshapedKernel &)=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="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_matrix_multiply_reshaped_kernel_xhtml_a6052d8909515e8ed38201f4429eb0267"><div class="ttname"><a href="classarm__compute_1_1_c_l_g_e_m_m_matrix_multiply_reshaped_kernel.xhtml#a6052d8909515e8ed38201f4429eb0267">arm_compute::CLGEMMMatrixMultiplyReshapedKernel::CLGEMMMatrixMultiplyReshapedKernel</a></div><div class="ttdeci">CLGEMMMatrixMultiplyReshapedKernel()</div><div class="ttdoc">Default Constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_g_e_m_m_matrix_multiply_reshaped_kernel_8cpp_source.xhtml#l00209">CLGEMMMatrixMultiplyReshapedKernel.cpp:209</a></div></div> |
| <div class="ttc" id="_i_c_l_kernel_8h_xhtml"><div class="ttname"><a href="_i_c_l_kernel_8h.xhtml">ICLKernel.h</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="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_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="_kernel_descriptors_8h_xhtml"><div class="ttname"><a href="_kernel_descriptors_8h.xhtml">KernelDescriptors.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div> |
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