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<a href="memory__sm75_8h.html">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) 2017-2019, NVIDIA CORPORATION. All rights reserved.</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"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</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="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#pragma once</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="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="layout_2matrix_8h.html">cutlass/layout/matrix.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span>arch {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">typename</span> Layout,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">int</span> MatrixCount</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> ></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1arch.html#a4f66a9687ae7524d528d8ddd2bcb4006">ldsm</a>(Array<unsigned, MatrixCount> & D, <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment">//</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment">// Specializations</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment">//</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#if (__CUDACC_VER_MAJOR__ == 10) && (__CUDACC_VER_MINOR__ == 2)</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor"> #define CUDA_NVVM_GET_SHARED_POINTER_SUPPORTED 1</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a46f2866d35a895ba34326282b8acfaa6"> 56</a></span> <span class="preprocessor"> #define CUDA_NVVM_GET_SHARED_POINTER_SUPPORTED 0</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#if ! defined(CUDA_NVVM_GET_SHARED_POINTER_ENABLED)</span></div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a4eee9c4995d720384992aabe5c6d6bc7"> 60</a></span> <span class="preprocessor"> #define CUDA_NVVM_GET_SHARED_POINTER_ENABLED (CUDA_NVVM_GET_SHARED_POINTER_SUPPORTED)</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor">#if ! defined(CUDA_LDMATRIX_SUPPORTED)</span></div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#abac6d4ac2f9ce3fff90851a5156836ce"> 64</a></span> <span class="preprocessor"> #define CUDA_LDMATRIX_SUPPORTED ((__CUDACC_VER_MAJOR__ == 10) && (__CUDACC_VER_MINOR__ >= 2))</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#if ! defined(CUDA_LDMATRIX_ENABLED)</span></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a95ee2a0203757d1d2fb1ea2d2bb05292"> 68</a></span> <span class="preprocessor"> #define CUDA_LDMATRIX_ENABLED (CUDA_LDMATRIX_SUPPORTED)</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor">#if (CUDA_LDMATRIX_ENABLED && defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 750))</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor"> #define CUDA_LDMATRIX_ACTIVATED 1</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor">#else</span></div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="memory__sm75_8h.html#a29d596a2e497f5f641e9fbacb3965a7a"> 74</a></span> <span class="preprocessor"> #define CUDA_LDMATRIX_ACTIVATED 0</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="preprocessor">#if defined(CUTLASS_GET_SMEM_POINTER)</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// Use the existing implementation</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="preprocessor">#elif CUDA_NVVM_GET_SHARED_POINTER_ENABLED</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="preprocessor"> #if ! defined(NVVM_GET_SMEM_POINTER)</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="preprocessor"> #define NVVM_GET_SMEM_POINTER</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">extern</span> <span class="stringliteral">"C"</span> {</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">//</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// This NVVM intrinsic is subject to change in future versions of CUDA.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Clients should not call it directly. Rather, they should use the </span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// cutlass::arch::ldsm<>() template.</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">//</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  __device__ uint32_t __nvvm_get_smem_pointer(<span class="keywordtype">void</span>*);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="preprocessor"> #define CUTLASS_GET_SMEM_POINTER(ptr) __nvvm_get_smem_pointer((void*)ptr)</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a06106d8c334c1a3d86b9fee0bc476c28"> 97</a></span> <span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm<layout::RowMajor, 1>(</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  Array<unsigned, 1> & D,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="preprocessor"> #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</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="keywordtype">int</span> x;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">"ldmatrix.sync.aligned.x1.m8n8.shared.b16 {%0}, [%1];"</span> : <span class="stringliteral">"=r"</span>(x) : <span class="stringliteral">"r"</span>(addr));</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">reinterpret_cast<</span><span class="keywordtype">int</span> &<span class="keyword">></span>(D) = x;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  assert(0);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a174e6a1036c1c18d15e3e0caaef636e3"> 119</a></span> <span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm<layout::RowMajor, 2>(</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  Array<unsigned, 2> & D,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor"> #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><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="keywordtype">int</span> x, y;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">"ldmatrix.sync.aligned.x2.m8n8.shared.b16 {%0, %1}, [%2];"</span> : <span class="stringliteral">"=r"</span>(x), <span class="stringliteral">"=r"</span>(y) : <span class="stringliteral">"r"</span>(addr));</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">reinterpret_cast<</span>int2 &<span class="keyword">></span>(D) = make_int2(x, y);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  assert(0);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> }</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#aca558d9696d1ef714ed3eb622c4a0d19"> 141</a></span> <span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm<layout::RowMajor, 4>(</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  Array<unsigned, 4> & D,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="preprocessor"> #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">int</span> x, y, z, w;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">"ldmatrix.sync.aligned.x4.m8n8.shared.b16 {%0, %1, %2, %3}, [%4];"</span> : <span class="stringliteral">"=r"</span>(x), <span class="stringliteral">"=r"</span>(y), <span class="stringliteral">"=r"</span>(z), <span class="stringliteral">"=r"</span>(w) : <span class="stringliteral">"r"</span>(addr));</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keyword">reinterpret_cast<</span>int4 &<span class="keyword">></span>(D) = make_int4(x, y, z, w);</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  assert(0);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="comment">//</span></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="comment">// Transpose on 16b granularity</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="comment">//</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="comment"></span></div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00167"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a72c88d957beeb19a02678ae5e7a1fe93"> 167</a></span> <span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm<layout::ColumnMajor, 1>(</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  Array<unsigned, 1> & D,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor"> #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">int</span> x;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">"ldmatrix.sync.aligned.x1.trans.m8n8.shared.b16 {%0}, [%1];"</span> : <span class="stringliteral">"=r"</span>(x) : <span class="stringliteral">"r"</span>(addr));</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">reinterpret_cast<</span><span class="keywordtype">int</span> &<span class="keyword">></span>(D) = x;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  assert(0);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#af47a6dd028305b7237745e75ea297c97"> 188</a></span> <span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm<layout::ColumnMajor, 2>(</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  Array<unsigned, 2> & D,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</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="preprocessor"> #if CUDA_LDMATRIX_ACTIVATED</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordtype">int</span> x, y;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">"ldmatrix.sync.aligned.x2.trans.m8n8.shared.b16 {%0, %1}, [%2];"</span> : <span class="stringliteral">"=r"</span>(x), <span class="stringliteral">"=r"</span>(y) : <span class="stringliteral">"r"</span>(addr));</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">reinterpret_cast<</span>int2 &<span class="keyword">></span>(D) = make_int2(x, y);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  assert(0);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> <span class="preprocessor"> #endif</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="keyword">template</span> <></div><div class="line"><a name="l00210"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1arch.html#a5fea35ca546de780f4b678839d0a3743"> 210</a></span> <span class="keyword">inline</span> __device__ <span class="keywordtype">void</span> ldsm<layout::ColumnMajor, 4>(</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  Array<unsigned, 4> & D,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordtype">void</span> <span class="keyword">const</span>* ptr) {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> <span class="preprocessor"> #if CUDA_LDMATRIX_ACTIVATED</span></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>  <span class="keywordtype">unsigned</span> addr = CUTLASS_GET_SMEM_POINTER(ptr);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">int</span> x, y, z, w;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">asm</span> <span class="keyword">volatile</span> (<span class="stringliteral">"ldmatrix.sync.aligned.x4.trans.m8n8.shared.b16 {%0, %1, %2, %3}, [%4];"</span> : <span class="stringliteral">"=r"</span>(x), <span class="stringliteral">"=r"</span>(y), <span class="stringliteral">"=r"</span>(z), <span class="stringliteral">"=r"</span>(w) : <span class="stringliteral">"r"</span>(addr));</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">reinterpret_cast<</span>int4 &<span class="keyword">></span>(D) = make_int4(x, y, z, w);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> <span class="preprocessor"> #else</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  assert(0);</div><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="preprocessor"> #endif</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> } <span class="comment">// namespace arch</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
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<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
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<div class="ttc" id="namespacecutlass_1_1arch_html_a4f66a9687ae7524d528d8ddd2bcb4006"><div class="ttname"><a href="namespacecutlass_1_1arch.html#a4f66a9687ae7524d528d8ddd2bcb4006">cutlass::arch::ldsm</a></div><div class="ttdeci">__device__ void ldsm(Array< unsigned, MatrixCount > &D, void const *ptr)</div></div>
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<div class="ttc" id="layout_2matrix_8h_html"><div class="ttname"><a href="layout_2matrix_8h.html">matrix.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes. </div></div>
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