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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">
<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment"></span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * This source code is licensed under the CC-by-NC license found in the</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;MatrixMult.cuh&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;DeviceMemory.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;DeviceUtils.h&quot;</span> <span class="comment">// CUDA_VERIFY</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;DeviceTensor.cuh&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;HostTensor.cuh&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structfaiss_1_1gpu_1_1CublasGemm.html">   21</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1gpu_1_1CublasGemm.html">CublasGemm</a> {</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;};</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="keyword">template</span> &lt;&gt;</div>
<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>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1gpu_1_1CublasGemm.html">CublasGemm</a>&lt;float&gt; {</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;  <span class="keyword">static</span> cublasStatus_t gemm(cublasHandle_t handle,</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                             cublasOperation_t transa,</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;                             cublasOperation_t transb,</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;                             <span class="keywordtype">int</span> m,</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;                             <span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;                             <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;                             <span class="keywordtype">float</span> fAlpha,</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;                             <span class="keyword">const</span> <span class="keywordtype">float</span> *A,</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;                             <span class="keywordtype">int</span> lda,</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;                             <span class="keyword">const</span> <span class="keywordtype">float</span> *B,</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;                             <span class="keywordtype">int</span> ldb,</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;                             <span class="keywordtype">float</span> fBeta,</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;                             <span class="keywordtype">float</span> *C,</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;                             <span class="keywordtype">int</span> ldc) {</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="keywordflow">return</span> cublasSgemm(handle, transa, transb, m, n, k,</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                       &amp;fAlpha, A, lda, B, ldb, &amp;fBeta, C, ldc);</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;  }</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;};</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="preprocessor"></span><span class="keyword">template</span> &lt;&gt;</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="keyword">struct </span><a class="code" href="structfaiss_1_1gpu_1_1CublasGemm.html">CublasGemm</a>&lt;half&gt; {</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  <span class="keyword">static</span> cublasStatus_t gemm(cublasHandle_t handle,</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;                             cublasOperation_t transa,</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;                             cublasOperation_t transb,</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;                             <span class="keywordtype">int</span> m,</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                             <span class="keywordtype">int</span> n,</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;                             <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                             <span class="keyword">const</span> <span class="keywordtype">float</span> fAlpha,</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;                             <span class="keyword">const</span> half *A,</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;                             <span class="keywordtype">int</span> lda,</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;                             <span class="keyword">const</span> half *B,</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;                             <span class="keywordtype">int</span> ldb,</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;                             <span class="keyword">const</span> <span class="keywordtype">float</span> fBeta,</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;                             half *C,</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                             <span class="keywordtype">int</span> ldc) {</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keywordflow">if</span> (getDeviceSupportsFloat16Math(getCurrentDevice())) {</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;      half hAlpha = hostFloat2Half(fAlpha);</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;      half hBeta = hostFloat2Half(fBeta);</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;      <span class="keywordflow">return</span> cublasHgemm(handle, transa, transb, m, n, k,</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                         &amp;hAlpha, A, lda, B, ldb, &amp;hBeta, C, ldc);</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    }</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="comment">// CUDA 8.0 changes the half datatype specifier</span></div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;<span class="preprocessor">#if CUDA_VERSION == 7050</span></div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;<span class="preprocessor"></span>    <span class="keyword">auto</span> halfType = CUBLAS_DATA_HALF;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;<span class="preprocessor">#else</span></div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;<span class="preprocessor"></span>    <span class="keyword">auto</span> halfType = CUDA_R_16F;</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="preprocessor">#endif // CUDA_VERSION</span></div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <span class="keywordflow">return</span> cublasSgemmEx(handle, transa, transb, m, n, k,</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                         &amp;fAlpha, A, halfType, lda,</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                         B, halfType, ldb,</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                         &amp;fBeta,</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                         C, halfType, ldc);</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;  }</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;};</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="preprocessor">#endif // FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;runMatrixMult(Tensor&lt;T, 2, true&gt;&amp; c, <span class="keywordtype">bool</span> transC,</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;              Tensor&lt;T, 2, true&gt;&amp; a, <span class="keywordtype">bool</span> transA,</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;              Tensor&lt;T, 2, true&gt;&amp; b, <span class="keywordtype">bool</span> transB,</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;              <span class="keywordtype">float</span> alpha,</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;              <span class="keywordtype">float</span> beta,</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;              cublasHandle_t handle,</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;              cudaStream_t stream) {</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;  cublasSetStream(handle, stream);</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;  <span class="comment">// Check that we have (m x k) * (k x n) = (m x n)</span></div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;  <span class="comment">// using the input row-major layout</span></div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  <span class="keywordtype">int</span> aM = transA ? a.getSize(1) : a.getSize(0);</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keywordtype">int</span> aK = transA ? a.getSize(0) : a.getSize(1);</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;  <span class="keywordtype">int</span> bK = transB ? b.getSize(1) : b.getSize(0);</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;  <span class="keywordtype">int</span> bN = transB ? b.getSize(0) : b.getSize(1);</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;  <span class="keywordtype">int</span> cM = transC ? c.getSize(1) : c.getSize(0);</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;  <span class="keywordtype">int</span> cN = transC ? c.getSize(0) : c.getSize(1);</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  FAISS_ASSERT(aM == cM);</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  FAISS_ASSERT(aK == bK);</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;  FAISS_ASSERT(bN == cN);</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;  <span class="comment">// Now, we have to represent the matrix multiplication in</span></div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  <span class="comment">// column-major layout</span></div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;  T* pA = transC ? a.data() : b.data();</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  T* pB = transC ? b.data() : a.data();</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;  T* pC = c.data();</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  <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>&#160;  <span class="keywordtype">int</span> n = c.getSize(0); <span class="comment">// other size</span></div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;  <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>&#160;</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;  <span class="keywordtype">int</span> lda = transC ? a.getSize(1) : b.getSize(1);</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <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>&#160;  <span class="keywordtype">int</span> ldc = c.getSize(1);</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  <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>&#160;  <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>&#160;</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;  <span class="keywordflow">if</span> (transC) {</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    gemmTrA = transA ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    gemmTrB = transB ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;  }</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;  <span class="keyword">auto</span> err = CublasGemm&lt;T&gt;::gemm(handle,</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                                 gemmTrA, gemmTrB,</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                                 m, n, k, alpha,</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                                 pA, lda, pB, ldb, beta,</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                                 pC, ldc);</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  FAISS_ASSERT(err == CUBLAS_STATUS_SUCCESS);</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;  CUDA_VERIFY(cudaGetLastError());</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;}</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;<span class="keywordtype">void</span> runMatrixMult(Tensor&lt;float, 2, true&gt;&amp; c, <span class="keywordtype">bool</span> transC,</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                   Tensor&lt;float, 2, true&gt;&amp; a, <span class="keywordtype">bool</span> transA,</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;                   Tensor&lt;float, 2, true&gt;&amp; b, <span class="keywordtype">bool</span> transB,</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;                   <span class="keywordtype">float</span> alpha,</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;                   <span class="keywordtype">float</span> beta,</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;                   cublasHandle_t handle,</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;                   cudaStream_t stream) {</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;  <span class="keywordflow">return</span> runMatrixMult&lt;float&gt;(c, transC, a, transA, b, transB,</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;                              alpha, beta, handle, stream);</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;}</div>
<div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;<span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;<span class="preprocessor"></span><span class="keywordtype">void</span> runMatrixMult(Tensor&lt;half, 2, true&gt;&amp; c, <span class="keywordtype">bool</span> transC,</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;                   Tensor&lt;half, 2, true&gt;&amp; a, <span class="keywordtype">bool</span> transA,</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                   Tensor&lt;half, 2, true&gt;&amp; b, <span class="keywordtype">bool</span> transB,</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;                   <span class="keywordtype">float</span> alpha,</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;                   <span class="keywordtype">float</span> beta,</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                   cublasHandle_t handle,</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                   cudaStream_t stream) {</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;  <span class="keywordflow">return</span> runMatrixMult&lt;half&gt;(c, transC, a, transA, b, transB,</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                             alpha, beta, handle, stream);</div>
<div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;}</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;<span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;runIteratedMatrixMult(Tensor&lt;float, 3, true&gt;&amp; c, <span class="keywordtype">bool</span> transC,</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;                      Tensor&lt;float, 3, true&gt;&amp; a, <span class="keywordtype">bool</span> transA,</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;                      Tensor&lt;float, 3, true&gt;&amp; b, <span class="keywordtype">bool</span> transB,</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;                      <span class="keywordtype">float</span> alpha,</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;                      <span class="keywordtype">float</span> beta,</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;                      cublasHandle_t handle,</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;                      cudaStream_t stream) {</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;  FAISS_ASSERT(c.getSize(0) == a.getSize(0));</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;  FAISS_ASSERT(a.getSize(0) == b.getSize(0));</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div>
<div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; a.getSize(0); ++i) {</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <span class="keyword">auto</span> cView = c[i].view();</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    <span class="keyword">auto</span> aView = a[i].view();</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keyword">auto</span> bView = b[i].view();</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    runMatrixMult(cView, transC,</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;                  aView, transA,</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;                  bView, transB,</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;                  alpha, beta, handle, stream);</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  }</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;}</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;<span class="keywordtype">void</span></div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;runBatchMatrixMult(Tensor&lt;float, 3, true&gt;&amp; c, <span class="keywordtype">bool</span> transC,</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;                   Tensor&lt;float, 3, true&gt;&amp; a, <span class="keywordtype">bool</span> transA,</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;                   Tensor&lt;float, 3, true&gt;&amp; b, <span class="keywordtype">bool</span> transB,</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;                   <span class="keywordtype">float</span> alpha,</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;                   <span class="keywordtype">float</span> beta,</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;                   DeviceMemory&amp; mem,</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;                   cublasHandle_t handle,</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                   cudaStream_t stream) {</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  FAISS_ASSERT(c.getSize(0) == a.getSize(0));</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;  FAISS_ASSERT(a.getSize(0) == b.getSize(0));</div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;  cublasSetStream(handle, stream);</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;  <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>&#160;  <span class="comment">// using the input row-major layout</span></div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  <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>&#160;  <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>&#160;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;  <span class="keywordtype">int</span> bK = transB ? b.getSize(2) : b.getSize(1);</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;  <span class="keywordtype">int</span> bN = transB ? b.getSize(1) : b.getSize(2);</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;  <span class="keywordtype">int</span> cM = transC ? c.getSize(2) : c.getSize(1);</div>
<div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;  <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>&#160;</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;  FAISS_ASSERT(aM == cM);</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;  FAISS_ASSERT(aK == bK);</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;  FAISS_ASSERT(bN == cN);</div>
<div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div>
<div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;  <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>&#160;  <span class="comment">// column-major layout</span></div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;  <span class="keywordtype">float</span>* pA = transC ? a.data() : b.data();</div>
<div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;  <span class="keywordtype">float</span>* pB = transC ? b.data() : a.data();</div>
<div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  <span class="keywordtype">float</span>* pC = c.data();</div>
<div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;</div>
<div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;  <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>&#160;  <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>&#160;  <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>&#160;</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  <span class="keywordtype">int</span> lda = transC ? a.getSize(2) : b.getSize(2);</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;  <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>&#160;  <span class="keywordtype">int</span> ldc = c.getSize(2);</div>
<div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;</div>
<div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;  <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>&#160;  <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>&#160;</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;  <span class="keywordflow">if</span> (transC) {</div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    gemmTrA = transA ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    gemmTrB = transB ? CUBLAS_OP_N : CUBLAS_OP_T;</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;  }</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;  HostTensor&lt;float*, 1, true&gt; hostA({a.getSize(0)});</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;  HostTensor&lt;float*, 1, true&gt; hostB({b.getSize(0)});</div>
<div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;  HostTensor&lt;float*, 1, true&gt; hostC({c.getSize(0)});</div>
<div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;</div>
<div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;  <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>&#160;  <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>&#160;  <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>&#160;</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; a.getSize(0); ++i) {</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;    hostA[i] = transC ? a.data() + i * aOffset : b.data() + i * bOffset;</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    hostB[i] = transC ? b.data() + i * bOffset : a.data() + i * aOffset;</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;    hostC[i] = c.data() + i * cOffset;</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;  }</div>
<div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;</div>
<div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;  DeviceTensor&lt;float*, 1, true&gt; deviceA(mem, hostA, stream);</div>
<div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;  DeviceTensor&lt;float*, 1, true&gt; deviceB(mem, hostB, stream);</div>
<div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;  DeviceTensor&lt;float*, 1, true&gt; deviceC(mem, hostC, stream);</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;  <span class="keyword">auto</span> err =</div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    cublasSgemmBatched(handle,</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;                       gemmTrA, gemmTrB,</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;                       m, n, k, &amp;alpha,</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;                       (<span class="keyword">const</span> <span class="keywordtype">float</span>**) deviceA.data(), lda,</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;                       (<span class="keyword">const</span> <span class="keywordtype">float</span>**) deviceB.data(), ldb, &amp;beta,</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;                       deviceC.data(), ldc, a.getSize(0));</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;  FAISS_ASSERT(err == CUBLAS_STATUS_SUCCESS);</div>
<div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;  CUDA_VERIFY(cudaGetLastError());</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;}</div>
<div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;</div>
<div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;} } <span class="comment">// namespace</span></div>
<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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