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<li class="navelem"><a class="el" href="dir_6b3ae6988449b0834e9596fad5d75199.html">gpu</a></li><li class="navelem"><a class="el" href="dir_498271007b03b2a0521055e88776887b.html">utils</a></li> </ul>
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<div class="title">MatrixMult.cu</div> </div>
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<div class="contents">
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment"></span></div>
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<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">/**</span></div>
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<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
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<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * All rights reserved.</span></div>
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<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div>
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<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * This source code is licensed under the CC-by-NC license found in the</span></div>
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<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
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<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> */</span></div>
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<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div>
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<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
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<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div>
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<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "MatrixMult.cuh"</span></div>
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<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "DeviceMemory.h"</span></div>
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<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "DeviceUtils.h"</span> <span class="comment">// CUDA_VERIFY</span></div>
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<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "DeviceTensor.cuh"</span></div>
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<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "HostTensor.cuh"</span></div>
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<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div>
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<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
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<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div>
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<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
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<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structfaiss_1_1gpu_1_1CublasGemm.html"> 21</a></span> <span class="keyword">struct </span><a class="code" href="structfaiss_1_1gpu_1_1CublasGemm.html">CublasGemm</a> {</div>
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<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> };</div>
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<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div>
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<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">template</span> <></div>
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<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="structfaiss_1_1gpu_1_1CublasGemm_3_01float_01_4.html"> 25</a></span> <span class="keyword">struct </span><a class="code" href="structfaiss_1_1gpu_1_1CublasGemm.html">CublasGemm</a><float> {</div>
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<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">static</span> cublasStatus_t gemm(cublasHandle_t handle,</div>
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<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  cublasOperation_t transa,</div>
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<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  cublasOperation_t transb,</div>
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<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">int</span> m,</div>
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<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordtype">int</span> n,</div>
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<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordtype">int</span> k,</div>
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<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordtype">float</span> fAlpha,</div>
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<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> *A,</div>
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<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordtype">int</span> lda,</div>
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<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> *B,</div>
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<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordtype">int</span> ldb,</div>
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<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordtype">float</span> fBeta,</div>
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<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordtype">float</span> *C,</div>
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<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordtype">int</span> ldc) {</div>
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<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">return</span> cublasSgemm(handle, transa, transb, m, n, k,</div>
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<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  &fAlpha, A, lda, B, ldb, &fBeta, C, ldc);</div>
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<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  }</div>
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<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> };</div>
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<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
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<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
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<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor"></span><span class="keyword">template</span> <></div>
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<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">struct </span><a class="code" href="structfaiss_1_1gpu_1_1CublasGemm.html">CublasGemm</a><half> {</div>
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<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">static</span> cublasStatus_t gemm(cublasHandle_t handle,</div>
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<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  cublasOperation_t transa,</div>
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<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  cublasOperation_t transb,</div>
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<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">int</span> m,</div>
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<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordtype">int</span> n,</div>
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<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordtype">int</span> k,</div>
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<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> fAlpha,</div>
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<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> half *A,</div>
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<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">int</span> lda,</div>
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<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">const</span> half *B,</div>
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<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">int</span> ldb,</div>
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<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> fBeta,</div>
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<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  half *C,</div>
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<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">int</span> ldc) {</div>
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<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span> (getDeviceSupportsFloat16Math(getCurrentDevice())) {</div>
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<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  half hAlpha = hostFloat2Half(fAlpha);</div>
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<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  half hBeta = hostFloat2Half(fBeta);</div>
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<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
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<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> cublasHgemm(handle, transa, transb, m, n, k,</div>
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<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  &hAlpha, A, lda, B, ldb, &hBeta, C, ldc);</div>
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<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div>
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<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div>
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<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// CUDA 8.0 changes the half datatype specifier</span></div>
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<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor">#if CUDA_VERSION == 7050</span></div>
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<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor"></span> <span class="keyword">auto</span> halfType = CUBLAS_DATA_HALF;</div>
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<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor">#else</span></div>
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<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="preprocessor"></span> <span class="keyword">auto</span> halfType = CUDA_R_16F;</div>
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<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor">#endif // CUDA_VERSION</span></div>
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<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="preprocessor"></span></div>
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<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">return</span> cublasSgemmEx(handle, transa, transb, m, n, k,</div>
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<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  &fAlpha, A, halfType, lda,</div>
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<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  B, halfType, ldb,</div>
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<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  &fBeta,</div>
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<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  C, halfType, ldc);</div>
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<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div>
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<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> };</div>
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<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="preprocessor">#endif // FAISS_USE_FLOAT16</span></div>
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<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="preprocessor"></span></div>
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<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div>
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<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
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<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> runMatrixMult(Tensor<T, 2, true>& c, <span class="keywordtype">bool</span> transC,</div>
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<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  Tensor<T, 2, true>& a, <span class="keywordtype">bool</span> transA,</div>
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<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  Tensor<T, 2, true>& b, <span class="keywordtype">bool</span> transB,</div>
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<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordtype">float</span> alpha,</div>
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<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordtype">float</span> beta,</div>
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<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  cublasHandle_t handle,</div>
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<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  cudaStream_t stream) {</div>
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<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  cublasSetStream(handle, stream);</div>
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<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div>
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<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Check that we have (m x k) * (k x n) = (m x n)</span></div>
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<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// using the input row-major layout</span></div>
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<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordtype">int</span> aM = transA ? a.getSize(1) : a.getSize(0);</div>
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<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">int</span> aK = transA ? a.getSize(0) : a.getSize(1);</div>
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<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div>
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<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">int</span> bK = transB ? b.getSize(1) : b.getSize(0);</div>
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<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">int</span> bN = transB ? b.getSize(0) : b.getSize(1);</div>
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<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div>
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<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordtype">int</span> cM = transC ? c.getSize(1) : c.getSize(0);</div>
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<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordtype">int</span> cN = transC ? c.getSize(0) : c.getSize(1);</div>
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<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div>
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<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  FAISS_ASSERT(aM == cM);</div>
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<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  FAISS_ASSERT(aK == bK);</div>
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<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  FAISS_ASSERT(bN == cN);</div>
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<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
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<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Now, we have to represent the matrix multiplication in</span></div>
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<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// column-major layout</span></div>
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|
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  T* pA = transC ? a.data() : b.data();</div>
|
|
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  T* pB = transC ? b.data() : a.data();</div>
|
|
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  T* pC = c.data();</div>
|
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<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div>
|
|
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">int</span> m = c.getSize(1); <span class="comment">// stride 1 size</span></div>
|
|
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordtype">int</span> n = c.getSize(0); <span class="comment">// other size</span></div>
|
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<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">int</span> k = transA ? a.getSize(0) : a.getSize(1);</div>
|
|
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div>
|
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<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">int</span> lda = transC ? a.getSize(1) : b.getSize(1);</div>
|
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<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">int</span> ldb = transC ? b.getSize(1) : a.getSize(1);</div>
|
|
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">int</span> ldc = c.getSize(1);</div>
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|
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div>
|
|
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">auto</span> gemmTrA = transB ? CUBLAS_OP_T : CUBLAS_OP_N;</div>
|
|
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">auto</span> gemmTrB = transA ? CUBLAS_OP_T : CUBLAS_OP_N;</div>
|
|
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div>
|
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<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">if</span> (transC) {</div>
|
|
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  gemmTrA = transA ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
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|
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  gemmTrB = transB ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
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|
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  }</div>
|
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<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div>
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<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keyword">auto</span> err = CublasGemm<T>::gemm(handle,</div>
|
|
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  gemmTrA, gemmTrB,</div>
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|
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  m, n, k, alpha,</div>
|
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<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  pA, lda, pB, ldb, beta,</div>
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<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  pC, ldc);</div>
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<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div>
|
|
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  FAISS_ASSERT(err == CUBLAS_STATUS_SUCCESS);</div>
|
|
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  CUDA_VERIFY(cudaGetLastError());</div>
|
|
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> }</div>
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<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div>
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<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="keywordtype">void</span> runMatrixMult(Tensor<float, 2, true>& c, <span class="keywordtype">bool</span> transC,</div>
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|
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  Tensor<float, 2, true>& a, <span class="keywordtype">bool</span> transA,</div>
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<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  Tensor<float, 2, true>& b, <span class="keywordtype">bool</span> transB,</div>
|
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<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">float</span> alpha,</div>
|
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<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">float</span> beta,</div>
|
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<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  cublasHandle_t handle,</div>
|
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<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  cudaStream_t stream) {</div>
|
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<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">return</span> runMatrixMult<float>(c, transC, a, transA, b, transB,</div>
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<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  alpha, beta, handle, stream);</div>
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<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> }</div>
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<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div>
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<div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
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|
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="preprocessor"></span><span class="keywordtype">void</span> runMatrixMult(Tensor<half, 2, true>& c, <span class="keywordtype">bool</span> transC,</div>
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<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  Tensor<half, 2, true>& a, <span class="keywordtype">bool</span> transA,</div>
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<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  Tensor<half, 2, true>& b, <span class="keywordtype">bool</span> transB,</div>
|
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<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">float</span> alpha,</div>
|
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<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordtype">float</span> beta,</div>
|
|
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  cublasHandle_t handle,</div>
|
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<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  cudaStream_t stream) {</div>
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<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">return</span> runMatrixMult<half>(c, transC, a, transA, b, transB,</div>
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<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  alpha, beta, handle, stream);</div>
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<div class="line"><a name="l00166"></a><span class="lineno"> 166</span> }</div>
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<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor">#endif</span></div>
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|
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="preprocessor"></span></div>
|
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<div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> runIteratedMatrixMult(Tensor<float, 3, true>& c, <span class="keywordtype">bool</span> transC,</div>
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<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  Tensor<float, 3, true>& a, <span class="keywordtype">bool</span> transA,</div>
|
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<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  Tensor<float, 3, true>& b, <span class="keywordtype">bool</span> transB,</div>
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|
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">float</span> alpha,</div>
|
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<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">float</span> beta,</div>
|
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<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  cublasHandle_t handle,</div>
|
|
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  cudaStream_t stream) {</div>
|
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<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  FAISS_ASSERT(c.getSize(0) == a.getSize(0));</div>
|
|
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  FAISS_ASSERT(a.getSize(0) == b.getSize(0));</div>
|
|
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div>
|
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<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < a.getSize(0); ++i) {</div>
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<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keyword">auto</span> cView = c[i].view();</div>
|
|
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">auto</span> aView = a[i].view();</div>
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<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keyword">auto</span> bView = b[i].view();</div>
|
|
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div>
|
|
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  runMatrixMult(cView, transC,</div>
|
|
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  aView, transA,</div>
|
|
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  bView, transB,</div>
|
|
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  alpha, beta, handle, stream);</div>
|
|
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  }</div>
|
|
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> }</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="keywordtype">void</span></div>
|
|
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> runBatchMatrixMult(Tensor<float, 3, true>& c, <span class="keywordtype">bool</span> transC,</div>
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|
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  Tensor<float, 3, true>& a, <span class="keywordtype">bool</span> transA,</div>
|
|
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  Tensor<float, 3, true>& b, <span class="keywordtype">bool</span> transB,</div>
|
|
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordtype">float</span> alpha,</div>
|
|
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordtype">float</span> beta,</div>
|
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<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  DeviceMemory& mem,</div>
|
|
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  cublasHandle_t handle,</div>
|
|
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  cudaStream_t stream) {</div>
|
|
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  FAISS_ASSERT(c.getSize(0) == a.getSize(0));</div>
|
|
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  FAISS_ASSERT(a.getSize(0) == b.getSize(0));</div>
|
|
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  cublasSetStream(handle, stream);</div>
|
|
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div>
|
|
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// Check that we have (m x k) * (k x n) = (m x n)</span></div>
|
|
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// using the input row-major layout</span></div>
|
|
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordtype">int</span> aM = transA ? a.getSize(2) : a.getSize(1);</div>
|
|
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordtype">int</span> aK = transA ? a.getSize(1) : a.getSize(2);</div>
|
|
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div>
|
|
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordtype">int</span> bK = transB ? b.getSize(2) : b.getSize(1);</div>
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|
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">int</span> bN = transB ? b.getSize(1) : b.getSize(2);</div>
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<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div>
|
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<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordtype">int</span> cM = transC ? c.getSize(2) : c.getSize(1);</div>
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|
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="keywordtype">int</span> cN = transC ? c.getSize(1) : c.getSize(2);</div>
|
|
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div>
|
|
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  FAISS_ASSERT(aM == cM);</div>
|
|
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  FAISS_ASSERT(aK == bK);</div>
|
|
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  FAISS_ASSERT(bN == cN);</div>
|
|
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div>
|
|
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">// Now, we have to represent the matrix multiplication in</span></div>
|
|
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// column-major layout</span></div>
|
|
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordtype">float</span>* pA = transC ? a.data() : b.data();</div>
|
|
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">float</span>* pB = transC ? b.data() : a.data();</div>
|
|
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">float</span>* pC = c.data();</div>
|
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<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div>
|
|
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordtype">int</span> m = c.getSize(2); <span class="comment">// stride 1 size</span></div>
|
|
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordtype">int</span> n = c.getSize(1); <span class="comment">// other size</span></div>
|
|
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">int</span> k = transA ? a.getSize(1) : a.getSize(2);</div>
|
|
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
|
|
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordtype">int</span> lda = transC ? a.getSize(2) : b.getSize(2);</div>
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|
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordtype">int</span> ldb = transC ? b.getSize(2) : a.getSize(2);</div>
|
|
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">int</span> ldc = c.getSize(2);</div>
|
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<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
|
|
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">auto</span> gemmTrA = transB ? CUBLAS_OP_T : CUBLAS_OP_N;</div>
|
|
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">auto</span> gemmTrB = transA ? CUBLAS_OP_T : CUBLAS_OP_N;</div>
|
|
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div>
|
|
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">if</span> (transC) {</div>
|
|
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  gemmTrA = transA ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
|
|
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  gemmTrB = transB ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
|
|
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div>
|
|
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div>
|
|
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  HostTensor<float*, 1, true> hostA({a.getSize(0)});</div>
|
|
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  HostTensor<float*, 1, true> hostB({b.getSize(0)});</div>
|
|
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  HostTensor<float*, 1, true> hostC({c.getSize(0)});</div>
|
|
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div>
|
|
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordtype">size_t</span> aOffset = a.getSize(1) * a.getSize(2);</div>
|
|
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keywordtype">size_t</span> bOffset = b.getSize(1) * b.getSize(2);</div>
|
|
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordtype">size_t</span> cOffset = c.getSize(1) * c.getSize(2);</div>
|
|
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div>
|
|
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < a.getSize(0); ++i) {</div>
|
|
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  hostA[i] = transC ? a.data() + i * aOffset : b.data() + i * bOffset;</div>
|
|
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  hostB[i] = transC ? b.data() + i * bOffset : a.data() + i * aOffset;</div>
|
|
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  hostC[i] = c.data() + i * cOffset;</div>
|
|
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div>
|
|
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
|
|
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  DeviceTensor<float*, 1, true> deviceA(mem, hostA, stream);</div>
|
|
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  DeviceTensor<float*, 1, true> deviceB(mem, hostB, stream);</div>
|
|
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  DeviceTensor<float*, 1, true> deviceC(mem, hostC, stream);</div>
|
|
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div>
|
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<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keyword">auto</span> err =</div>
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<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  cublasSgemmBatched(handle,</div>
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<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  gemmTrA, gemmTrB,</div>
|
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<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  m, n, k, &alpha,</div>
|
|
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  (<span class="keyword">const</span> <span class="keywordtype">float</span>**) deviceA.data(), lda,</div>
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<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  (<span class="keyword">const</span> <span class="keywordtype">float</span>**) deviceB.data(), ldb, &beta,</div>
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|
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  deviceC.data(), ldc, a.getSize(0));</div>
|
|
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  FAISS_ASSERT(err == CUBLAS_STATUS_SUCCESS);</div>
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<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  CUDA_VERIFY(cudaGetLastError());</div>
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<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> }</div>
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<div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div>
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<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> } } <span class="comment">// namespace</span></div>
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<div class="ttc" id="structfaiss_1_1gpu_1_1CublasGemm_html"><div class="ttname"><a href="structfaiss_1_1gpu_1_1CublasGemm.html">faiss::gpu::CublasGemm</a></div><div class="ttdef"><b>Definition:</b> <a href="MatrixMult_8cu_source.html#l00021">MatrixMult.cu:21</a></div></div>
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