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<a href="host__tensor_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="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <vector></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="matrix__traits_8h.html">cutlass/matrix_traits.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="tensor__ref_8h.html">cutlass/tensor_ref.h</a>"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include "<a class="code" href="tensor__view_8h.html">cutlass/tensor_view.h</a>"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#include "<a class="code" href="device__memory_8h.html">device_memory.h</a>"</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">typename</span> Layout_</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> ></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html"> 59</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1HostTensor.html">HostTensor</a> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f"> 63</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> = Element_;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a"> 66</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">Layout</a> = Layout_;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#aa3458af41bf057e8bcfd895388a52659"> 69</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1HostTensor.html#aa3458af41bf057e8bcfd895388a52659">kRank</a> = Layout::kRank;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a33679b84f59829c70457b9ff438101bf"> 72</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#a33679b84f59829c70457b9ff438101bf">Index</a> = <span class="keyword">typename</span> Layout::Index;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc"> 75</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> = <span class="keyword">typename</span> Layout::LongIndex;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900"> 78</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> = <span class="keyword">typename</span> Layout::TensorCoord;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a8775e63b9e6f320fb8611f5e8f7fc3b9"> 81</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#a8775e63b9e6f320fb8611f5e8f7fc3b9">Stride</a> = <span class="keyword">typename</span> Layout::Stride;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#add43f2f758df7f5e6e028c3cba0cf277"> 84</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<Element, Layout></a>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ae76a55dd7f4d827f042f9c9018567271"> 87</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#ae76a55dd7f4d827f042f9c9018567271">ConstTensorRef</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1TensorRef.html#ad3c5c9466713f62a5191e720827f34da">TensorRef::ConstTensorRef</a>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a78bc9c976c204822680075685cb8363e"> 90</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> = <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a>;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ac4445444c8f092dd1be47f1530affbaf"> 93</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#ac4445444c8f092dd1be47f1530affbaf">ConstTensorView</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1TensorView.html#a71def6d54ed28dfe3b17fde3e6461578">TensorView::ConstTensorView</a>;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a33698c7aa33255e7a2e7abc298e28f39"> 96</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#a33698c7aa33255e7a2e7abc298e28f39">Reference</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1TensorRef.html#a0aba29ebf8715d217817a49356f95d3f">TensorRef::Reference</a>;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a4c6d967596e266ceab3d36f6c8d05152"> 99</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1HostTensor.html#a4c6d967596e266ceab3d36f6c8d05152">ConstReference</a> = <span class="keyword">typename</span> ConstTensorRef::Reference;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ad8d8df8fbb877de1d29978288405bf5f"> 102</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1HostTensor.html#ad8d8df8fbb877de1d29978288405bf5f">kElementsPerStoredItem</a> = (<a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits<Element>::value</a> < 8 ? <span class="keyword">sizeof</span>(<a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a>) * 8 / <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits<Element>::value</a> : 1);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">//</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">//</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> extent_;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">Layout</a> layout_;</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>  std::vector<Element> host_;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="structcutlass_1_1device__memory_1_1allocation.html">device_memory::allocation<Element></a> device_;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">//</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// Device and Host Methods</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">//</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#af50ce8b091c106ac88b75e15ab028868"> 128</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#af50ce8b091c106ac88b75e15ab028868">HostTensor</a>() {}</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#abf381d496b50aad3df4bb72e3d891bac"> 131</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#abf381d496b50aad3df4bb72e3d891bac">HostTensor</a>(</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">device_backed</a> = <span class="keyword">true</span></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> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  this-><a class="code" href="classcutlass_1_1HostTensor.html#a898fc427538275635a55e7633cd89140">reset</a>(extent, Layout::packed(extent), <a class="code" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">device_backed</a>);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  }</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a9d71a824b0e1a4f1e8a88abecdff10b0"> 140</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a9d71a824b0e1a4f1e8a88abecdff10b0">HostTensor</a>(</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">Layout</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea">layout</a>,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">device_backed</a> = <span class="keyword">true</span></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> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  this-><a class="code" href="classcutlass_1_1HostTensor.html#a898fc427538275635a55e7633cd89140">reset</a>(extent, layout, <a class="code" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">device_backed</a>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a068d76dabce39c48b617ee7fe8d7edb8"> 149</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a068d76dabce39c48b617ee7fe8d7edb8">~HostTensor</a>() { }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a898fc427538275635a55e7633cd89140"> 152</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#a898fc427538275635a55e7633cd89140">reset</a>() {</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  extent_ = <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a>();</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  layout_ = Layout::packed(extent_);</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  host_.clear();</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  device_.<a class="code" href="structcutlass_1_1device__memory_1_1allocation.html#aeef3a1cb8cfb96a2823e85f7fa52a31a">reset</a>();</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"><a class="line" href="classcutlass_1_1HostTensor.html#a6405f217fc2a52f8e23180c9f8160899"> 161</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#a6405f217fc2a52f8e23180c9f8160899">reserve</a>(</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordtype">size_t</span> count, </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordtype">bool</span> device_backed_ = <span class="keyword">true</span>) { </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  device_.<a class="code" href="structcutlass_1_1device__memory_1_1allocation.html#aeef3a1cb8cfb96a2823e85f7fa52a31a">reset</a>();</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  host_.clear();</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  count /= <a class="code" href="classcutlass_1_1HostTensor.html#ad8d8df8fbb877de1d29978288405bf5f">kElementsPerStoredItem</a>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  host_.resize(count);</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="comment">// Allocate memory</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a>* device_memory = <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordflow">if</span> (device_backed_) {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  device_memory = device_memory::allocate<Element>(count);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  device_.<a class="code" href="structcutlass_1_1device__memory_1_1allocation.html#aeef3a1cb8cfb96a2823e85f7fa52a31a">reset</a>(device_memory, device_backed_ ? count : 0);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00182"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a4f23ad5953f9cd5dff8e97d9edbc0cf0"> 182</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#a4f23ad5953f9cd5dff8e97d9edbc0cf0">reset</a>(</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>, </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">Layout</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea">layout</a>, </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordtype">bool</span> device_backed_ = <span class="keyword">true</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>  extent_ = <a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  layout_ = <a class="code" href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea">layout</a>;</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>  <a class="code" href="classcutlass_1_1HostTensor.html#a6405f217fc2a52f8e23180c9f8160899">reserve</a>(<span class="keywordtype">size_t</span>(layout_.capacity(extent_)), device_backed_);</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> </div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ab91b456881d5f9c0f52a4bc89d448d55"> 195</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#ab91b456881d5f9c0f52a4bc89d448d55">reset</a>(</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>, </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordtype">bool</span> device_backed_ = <span class="keyword">true</span>) { </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a898fc427538275635a55e7633cd89140">reset</a>(extent, Layout::packed(extent), device_backed_);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00204"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ac61cee5b25585439f4ccc7d7249ee853"> 204</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#ac61cee5b25585439f4ccc7d7249ee853">resize</a>(</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>, </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">Layout</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea">layout</a>, </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordtype">bool</span> device_backed_ = <span class="keyword">true</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>  extent_ = <a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  layout_ = <a class="code" href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea">layout</a>;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> new_size = size_t(layout_.capacity(extent_));</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="keywordflow">if</span> (<span class="keyword">static_cast<</span>decltype(host_.<a class="code" href="classcutlass_1_1HostTensor.html#aacf36383bd4608f6d30c561ce4851b83">size</a>())<span class="keyword">></span>(new_size) > host_.size()) {</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a6405f217fc2a52f8e23180c9f8160899">reserve</a>(new_size);</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</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> </div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a784d0b84de512c1bff131710226e2338"> 221</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#a784d0b84de512c1bff131710226e2338">resize</a>(</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span> &<a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>, </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">bool</span> device_backed_ = <span class="keyword">true</span>) { </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classcutlass_1_1HostTensor.html#ac61cee5b25585439f4ccc7d7249ee853">resize</a>(extent, Layout::packed(extent), device_backed_);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  }</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#aacf36383bd4608f6d30c561ce4851b83"> 229</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classcutlass_1_1HostTensor.html#aacf36383bd4608f6d30c561ce4851b83">size</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">return</span> host_.size() * <a class="code" href="classcutlass_1_1HostTensor.html#ad8d8df8fbb877de1d29978288405bf5f">kElementsPerStoredItem</a>;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00234"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f"> 234</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">return</span> layout_.capacity(extent_) * <a class="code" href="classcutlass_1_1HostTensor.html#ad8d8df8fbb877de1d29978288405bf5f">kElementsPerStoredItem</a>;</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> </div><div class="line"><a name="l00239"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788"> 239</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>() { <span class="keywordflow">return</span> host_.data(); }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a252ce9281a40863f32be25d3b40d6373"> 242</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * <a class="code" href="classcutlass_1_1HostTensor.html#a252ce9281a40863f32be25d3b40d6373">host_data_ptr_offset</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset) { <span class="keywordflow">return</span> host_.data() + ptr_element_offset; }</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00245"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#adafe2bee53260d47bc60479c50953f57"> 245</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a33698c7aa33255e7a2e7abc298e28f39">Reference</a> <a class="code" href="classcutlass_1_1HostTensor.html#adafe2bee53260d47bc60479c50953f57">host_data</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> idx) {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1ReferenceFactory.html">ReferenceFactory<Element>::get</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), idx);</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div><div class="line"><a name="l00250"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a3dd62ca461666b3ac7e690e2befecaae"> 250</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> <span class="keyword">const</span> * <a class="code" href="classcutlass_1_1HostTensor.html#a3dd62ca461666b3ac7e690e2befecaae">host_data</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> host_.data(); }</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00253"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a7741d51bf7d241d4821e52e47b704c69"> 253</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a4c6d967596e266ceab3d36f6c8d05152">ConstReference</a> <a class="code" href="classcutlass_1_1HostTensor.html#a7741d51bf7d241d4821e52e47b704c69">host_data</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> idx)<span class="keyword"> const </span>{</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1ReferenceFactory.html">ReferenceFactory<Element const>::get</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), idx);</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> </div><div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1"> 258</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * <a class="code" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">device_data</a>() { <span class="keywordflow">return</span> device_.<a class="code" href="structcutlass_1_1device__memory_1_1allocation.html#a86356748c671059942168502dd58684a">get</a>(); }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00261"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a81043b0539c8d18c40957411dd149e28"> 261</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * <a class="code" href="classcutlass_1_1HostTensor.html#a81043b0539c8d18c40957411dd149e28">device_data_ptr_offset</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset) { <span class="keywordflow">return</span> device_.<a class="code" href="structcutlass_1_1device__memory_1_1allocation.html#a86356748c671059942168502dd58684a">get</a>() + ptr_element_offset; }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00264"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#abecb0dce978ea2c542d7d87a35f7997a"> 264</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> <span class="keyword">const</span> * <a class="code" href="classcutlass_1_1HostTensor.html#abecb0dce978ea2c542d7d87a35f7997a">device_data</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> device_.<a class="code" href="structcutlass_1_1device__memory_1_1allocation.html#a86356748c671059942168502dd58684a">get</a>(); }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00267"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ac921be812016052c690d2dc808d415f1"> 267</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1HostTensor.html#ac921be812016052c690d2dc808d415f1">host_ref</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0) { <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#add43f2f758df7f5e6e028c3cba0cf277">TensorRef</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a252ce9281a40863f32be25d3b40d6373">host_data_ptr_offset</a>(ptr_element_offset), layout_); }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00270"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a3c5b60678dfa105b10c87dfaab4cf395"> 270</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#ae76a55dd7f4d827f042f9c9018567271">ConstTensorRef</a> <a class="code" href="classcutlass_1_1HostTensor.html#a3c5b60678dfa105b10c87dfaab4cf395">host_ref</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#ae76a55dd7f4d827f042f9c9018567271">ConstTensorRef</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a252ce9281a40863f32be25d3b40d6373">host_data_ptr_offset</a>(ptr_element_offset), layout_); }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00273"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a55a73e5ff7c7404c0bdee5f2b578b876"> 273</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1HostTensor.html#a55a73e5ff7c7404c0bdee5f2b578b876">device_ref</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0) {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#add43f2f758df7f5e6e028c3cba0cf277">TensorRef</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a81043b0539c8d18c40957411dd149e28">device_data_ptr_offset</a>(ptr_element_offset), layout_);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00278"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a4bf91f711ef17492809c09d53364cb35"> 278</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#ae76a55dd7f4d827f042f9c9018567271">ConstTensorRef</a> <a class="code" href="classcutlass_1_1HostTensor.html#a4bf91f711ef17492809c09d53364cb35">device_ref</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0)<span class="keyword"> const </span>{</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#add43f2f758df7f5e6e028c3cba0cf277">TensorRef</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a81043b0539c8d18c40957411dd149e28">device_data_ptr_offset</a>(ptr_element_offset), layout_);</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div><div class="line"><a name="l00283"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a75ce60d02c9d8fdcbcaceecc6b3ec7fa"> 283</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="classcutlass_1_1HostTensor.html#a75ce60d02c9d8fdcbcaceecc6b3ec7fa">host_view</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0) {</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#a78bc9c976c204822680075685cb8363e">TensorView</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a252ce9281a40863f32be25d3b40d6373">host_data_ptr_offset</a>(ptr_element_offset), layout_, extent_);</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a232e640ebb4b8cf21b44653d7800c5a7"> 288</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#ac4445444c8f092dd1be47f1530affbaf">ConstTensorView</a> <a class="code" href="classcutlass_1_1HostTensor.html#a232e640ebb4b8cf21b44653d7800c5a7">host_view</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0)<span class="keyword"> const </span>{</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#ac4445444c8f092dd1be47f1530affbaf">ConstTensorView</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a252ce9281a40863f32be25d3b40d6373">host_data_ptr_offset</a>(ptr_element_offset), layout_, extent_);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  }</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00293"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a075b666917a43c9bc168bfff6db27203"> 293</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="classcutlass_1_1HostTensor.html#a075b666917a43c9bc168bfff6db27203">device_view</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0) {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#a78bc9c976c204822680075685cb8363e">TensorView</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a81043b0539c8d18c40957411dd149e28">device_data_ptr_offset</a>(ptr_element_offset), layout_, extent_);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a6d1c49888cf678d3d5469eba4e911337"> 298</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#ac4445444c8f092dd1be47f1530affbaf">ConstTensorView</a> <a class="code" href="classcutlass_1_1HostTensor.html#a6d1c49888cf678d3d5469eba4e911337">device_view</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> ptr_element_offset=0)<span class="keyword"> const </span>{</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#ac4445444c8f092dd1be47f1530affbaf">ConstTensorView</a>(<a class="code" href="classcutlass_1_1HostTensor.html#a81043b0539c8d18c40957411dd149e28">device_data_ptr_offset</a>(ptr_element_offset), layout_, extent_);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  }</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3"> 303</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">device_backed</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">return</span> (device_.<a class="code" href="structcutlass_1_1device__memory_1_1allocation.html#a86356748c671059942168502dd58684a">get</a>() == <span class="keyword">nullptr</span>) ? <span class="keyword">false</span> : <span class="keyword">true</span>;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00309"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea"> 309</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">Layout</a> & <a class="code" href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea">layout</a>() {</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> layout_;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  }</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00314"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a61fe837629d7663cbb93ea8cfc177077"> 314</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">Layout</a> <a class="code" href="classcutlass_1_1HostTensor.html#a61fe837629d7663cbb93ea8cfc177077">layout</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">return</span> layout_;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00319"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a23976f8c123de032cf4a2632a894fcf2"> 319</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a8775e63b9e6f320fb8611f5e8f7fc3b9">Stride</a> <a class="code" href="classcutlass_1_1HostTensor.html#a23976f8c123de032cf4a2632a894fcf2">stride</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">return</span> layout_.stride();</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  }</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div><div class="line"><a name="l00324"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a241cd2fe7dfe62b3e68ef75334bd2fda"> 324</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a8775e63b9e6f320fb8611f5e8f7fc3b9">Stride</a> & <a class="code" href="classcutlass_1_1HostTensor.html#a241cd2fe7dfe62b3e68ef75334bd2fda">stride</a>() {</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">return</span> layout_.stride();</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  }</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00329"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a4a16e522cac85735cfcb056dc928de18"> 329</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a33679b84f59829c70457b9ff438101bf">Index</a> <a class="code" href="classcutlass_1_1HostTensor.html#a4a16e522cac85735cfcb056dc928de18">stride</a>(<span class="keywordtype">int</span> dim)<span class="keyword"> const </span>{</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">return</span> layout_.stride().at(dim);</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  }</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00334"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a439278acead2d26cb453d2949019fb68"> 334</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a33679b84f59829c70457b9ff438101bf">Index</a> & <a class="code" href="classcutlass_1_1HostTensor.html#a439278acead2d26cb453d2949019fb68">stride</a>(<span class="keywordtype">int</span> dim) {</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="keywordflow">return</span> layout_.stride().at(dim);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  }</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span> </div><div class="line"><a name="l00339"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ac3e08629bab5304f999fb5115453a714"> 339</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> <a class="code" href="classcutlass_1_1HostTensor.html#ac3e08629bab5304f999fb5115453a714">offset</a>(<a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">return</span> layout_(coord);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  }</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00344"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ab1253b57fd95f16b2dec9e36e84051d4"> 344</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a33698c7aa33255e7a2e7abc298e28f39">Reference</a> <a class="code" href="classcutlass_1_1HostTensor.html#ab1253b57fd95f16b2dec9e36e84051d4">at</a>(<a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span>& coord) {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(<a class="code" href="classcutlass_1_1HostTensor.html#ac3e08629bab5304f999fb5115453a714">offset</a>(coord));</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  }</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00349"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ae261f1b7ef78cc52dcb77f1a2fd05b69"> 349</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#a4c6d967596e266ceab3d36f6c8d05152">ConstReference</a> <a class="code" href="classcutlass_1_1HostTensor.html#ae261f1b7ef78cc52dcb77f1a2fd05b69">at</a>(<a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(<a class="code" href="classcutlass_1_1HostTensor.html#ac3e08629bab5304f999fb5115453a714">offset</a>(coord));</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  }</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00354"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8"> 354</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> <a class="code" href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">extent</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">return</span> extent_;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  }</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a8a947176a4ddab5b784c98a0f1896892"> 359</a></span>  <a class="code" href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">TensorCoord</a> & <a class="code" href="classcutlass_1_1HostTensor.html#a8a947176a4ddab5b784c98a0f1896892">extent</a>() {</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">return</span> extent_;</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00364"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#aea45851485df33ee2afb2a30bb82ebfc"> 364</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#aea45851485df33ee2afb2a30bb82ebfc">sync_host</a>() {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordflow">if</span> (<a class="code" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">device_backed</a>()) {</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#a5333f291105136d2e8e4c31329d93c31">device_memory::copy_to_host</a>(</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), <a class="code" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">device_data</a>(), <a class="code" href="classcutlass_1_1HostTensor.html#aacf36383bd4608f6d30c561ce4851b83">size</a>());</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  }</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00372"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#af339765c90429fe99b98a0da6a627421"> 372</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#af339765c90429fe99b98a0da6a627421">sync_device</a>() {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="keywordflow">if</span> (<a class="code" href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">device_backed</a>()) {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#adce1a75429c0eae9d34dc18944777325">device_memory::copy_to_device</a>(</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">device_data</a>(), <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), <a class="code" href="classcutlass_1_1HostTensor.html#aacf36383bd4608f6d30c561ce4851b83">size</a>());</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  }</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  }</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div><div class="line"><a name="l00380"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a2b4858efb0356a6fc01bb9f55f0ad3b2"> 380</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#a2b4858efb0356a6fc01bb9f55f0ad3b2">copy_in_device_to_host</a>(</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> <span class="keyword">const</span>* ptr_device, </div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1) { </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  }</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  }</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#a5333f291105136d2e8e4c31329d93c31">device_memory::copy_to_host</a>(</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), ptr_device, count);</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00395"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a5686ea068c8f3e820ccff015e95bc474"> 395</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#a5686ea068c8f3e820ccff015e95bc474">copy_in_device_to_device</a>(</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> <span class="keyword">const</span>* ptr_device, </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1) { </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  }</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  }</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#a8ff6151b081442db9af7421110c0242b">device_memory::copy_device_to_device</a>(</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">device_data</a>(), ptr_device, count);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  }</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span> </div><div class="line"><a name="l00410"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ad385330c69ecd7bd0b6c3660815253fa"> 410</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#ad385330c69ecd7bd0b6c3660815253fa">copy_in_host_to_device</a>(</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> <span class="keyword">const</span>* ptr_host, </div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1) { </div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  }</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  }</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#adce1a75429c0eae9d34dc18944777325">device_memory::copy_to_device</a>(</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">device_data</a>(), ptr_host, count);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  }</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00425"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ae11229ea69460ca174c5e6f9815eb97f"> 425</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#ae11229ea69460ca174c5e6f9815eb97f">copy_in_host_to_host</a>(</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> <span class="keyword">const</span>* ptr_host, </div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1) { </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  }</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  }</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#a0a3ab26e6c9a8aae6b09bfb3e4eb24e8">device_memory::copy_host_to_host</a>(</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), ptr_host, count);</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  }</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00440"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ab3051d2842b3aa3815e2ea5f53abfc2a"> 440</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#ab3051d2842b3aa3815e2ea5f53abfc2a">copy_out_device_to_host</a>(</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * ptr_host, </div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1)<span class="keyword"> const </span>{ </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#a5333f291105136d2e8e4c31329d93c31">device_memory::copy_to_host</a>(</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  ptr_host, <a class="code" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">device_data</a>(), count);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  }</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00455"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#ab7179440d39b0445113b30b7a460a1ec"> 455</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#ab7179440d39b0445113b30b7a460a1ec">copy_out_device_to_device</a>(</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * ptr_device, </div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1)<span class="keyword"> const </span>{ </div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  }</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#a8ff6151b081442db9af7421110c0242b">device_memory::copy_device_to_device</a>(</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  ptr_device, <a class="code" href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">device_data</a>(), count);</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  }</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00470"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#abeefdb8bccb2d8d751fdb22fa7e8ef0c"> 470</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#abeefdb8bccb2d8d751fdb22fa7e8ef0c">copy_out_host_to_device</a>(</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * ptr_device, </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1)<span class="keyword"> const </span>{ </div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> </div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  }</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  }</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#adce1a75429c0eae9d34dc18944777325">device_memory::copy_to_device</a>(</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  ptr_device, <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), count);</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  }</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00485"></a><span class="lineno"><a class="line" href="classcutlass_1_1HostTensor.html#a40da221db96cfda76ba5623856c66bf1"> 485</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1HostTensor.html#a40da221db96cfda76ba5623856c66bf1">copy_out_host_to_host</a>(</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <a class="code" href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">Element</a> * ptr_host, </div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">LongIndex</a> count = -1)<span class="keyword"> const </span>{ </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">if</span> (count < 0) {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  count = <a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>();</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  }</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  count = <a class="code" href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a>(<a class="code" href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">capacity</a>(), count);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  }</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="namespacecutlass_1_1device__memory.html#a0a3ab26e6c9a8aae6b09bfb3e4eb24e8">device_memory::copy_host_to_host</a>(</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  ptr_host, <a class="code" href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">host_data</a>(), count);</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> };</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1HostTensor_html_a241cd2fe7dfe62b3e68ef75334bd2fda"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a241cd2fe7dfe62b3e68ef75334bd2fda">cutlass::HostTensor::stride</a></div><div class="ttdeci">Stride & stride()</div><div class="ttdoc">Returns the layout object&#39;s stride vector. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:324</div></div>
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<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="classcutlass_1_1HostTensor_html_a9d71a824b0e1a4f1e8a88abecdff10b0"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a9d71a824b0e1a4f1e8a88abecdff10b0">cutlass::HostTensor::HostTensor</a></div><div class="ttdeci">HostTensor(TensorCoord const &extent, Layout const &layout, bool device_backed=true)</div><div class="ttdoc">Constructs a tensor given an extent and layout. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:140</div></div>
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<div class="ttc" id="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a8775e63b9e6f320fb8611f5e8f7fc3b9"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a8775e63b9e6f320fb8611f5e8f7fc3b9">cutlass::HostTensor::Stride</a></div><div class="ttdeci">typename Layout::Stride Stride</div><div class="ttdoc">Layout&#39;s stride vector. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:81</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ad385330c69ecd7bd0b6c3660815253fa"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ad385330c69ecd7bd0b6c3660815253fa">cutlass::HostTensor::copy_in_host_to_device</a></div><div class="ttdeci">void copy_in_host_to_device(Element const *ptr_host, LongIndex count=-1)</div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:410</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a439278acead2d26cb453d2949019fb68"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a439278acead2d26cb453d2949019fb68">cutlass::HostTensor::stride</a></div><div class="ttdeci">Index & stride(int dim)</div><div class="ttdoc">Returns the layout object&#39;s stride in a given physical dimension. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:334</div></div>
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<div class="ttc" id="namespacecutlass_1_1device__memory_html_adce1a75429c0eae9d34dc18944777325"><div class="ttname"><a href="namespacecutlass_1_1device__memory.html#adce1a75429c0eae9d34dc18944777325">cutlass::device_memory::copy_to_device</a></div><div class="ttdeci">void copy_to_device(T *dst, T const *src, size_t count=1)</div><div class="ttdef"><b>Definition:</b> device_memory.h:81</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a6d1c49888cf678d3d5469eba4e911337"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a6d1c49888cf678d3d5469eba4e911337">cutlass::HostTensor::device_view</a></div><div class="ttdeci">ConstTensorView device_view(LongIndex ptr_element_offset=0) const </div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:298</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_aa42c24683584f21aee1a4333ebaefccc"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#aa42c24683584f21aee1a4333ebaefccc">cutlass::HostTensor::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdoc">Long index used for pointer offsets. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:75</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a49c87d7b2438c8350b736ab6ea31c38a"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a49c87d7b2438c8350b736ab6ea31c38a">cutlass::HostTensor::Layout</a></div><div class="ttdeci">Layout_ Layout</div><div class="ttdoc">Mapping function from logical coordinate to linear memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:66</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a232e640ebb4b8cf21b44653d7800c5a7"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a232e640ebb4b8cf21b44653d7800c5a7">cutlass::HostTensor::host_view</a></div><div class="ttdeci">ConstTensorView host_view(LongIndex ptr_element_offset=0) const </div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:288</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_aa6ea111e8fcba15c07f0cf679e1eec7f"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#aa6ea111e8fcba15c07f0cf679e1eec7f">cutlass::HostTensor::capacity</a></div><div class="ttdeci">LongIndex capacity() const </div><div class="ttdoc">Returns the logical capacity based on extent and layout. May differ from size(). </div><div class="ttdef"><b>Definition:</b> host_tensor.h:234</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a40da221db96cfda76ba5623856c66bf1"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a40da221db96cfda76ba5623856c66bf1">cutlass::HostTensor::copy_out_host_to_host</a></div><div class="ttdeci">void copy_out_host_to_host(Element *ptr_host, LongIndex count=-1) const </div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:485</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_aea45851485df33ee2afb2a30bb82ebfc"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#aea45851485df33ee2afb2a30bb82ebfc">cutlass::HostTensor::sync_host</a></div><div class="ttdeci">void sync_host()</div><div class="ttdoc">Copies data from device to host. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:364</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a61fe837629d7663cbb93ea8cfc177077"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a61fe837629d7663cbb93ea8cfc177077">cutlass::HostTensor::layout</a></div><div class="ttdeci">Layout layout() const </div><div class="ttdoc">Returns the layout object. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:314</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ae11229ea69460ca174c5e6f9815eb97f"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ae11229ea69460ca174c5e6f9815eb97f">cutlass::HostTensor::copy_in_host_to_host</a></div><div class="ttdeci">void copy_in_host_to_host(Element const *ptr_host, LongIndex count=-1)</div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:425</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_aca2b28a16fc92d29102d00f154a1dfd1"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#aca2b28a16fc92d29102d00f154a1dfd1">cutlass::HostTensor::device_data</a></div><div class="ttdeci">Element * device_data()</div><div class="ttdoc">Gets pointer to device data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:258</div></div>
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<div class="ttc" id="structcutlass_1_1device__memory_1_1allocation_html_a86356748c671059942168502dd58684a"><div class="ttname"><a href="structcutlass_1_1device__memory_1_1allocation.html#a86356748c671059942168502dd58684a">cutlass::device_memory::allocation::get</a></div><div class="ttdeci">T * get() const </div><div class="ttdoc">Returns a pointer to the managed object. </div><div class="ttdef"><b>Definition:</b> device_memory.h:162</div></div>
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<div class="ttc" id="structcutlass_1_1device__memory_1_1allocation_html_aeef3a1cb8cfb96a2823e85f7fa52a31a"><div class="ttname"><a href="structcutlass_1_1device__memory_1_1allocation.html#aeef3a1cb8cfb96a2823e85f7fa52a31a">cutlass::device_memory::allocation::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdoc">Deletes the managed object and resets capacity to zero. </div><div class="ttdef"><b>Definition:</b> device_memory.h:171</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_abecb0dce978ea2c542d7d87a35f7997a"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#abecb0dce978ea2c542d7d87a35f7997a">cutlass::HostTensor::device_data</a></div><div class="ttdeci">Element const * device_data() const </div><div class="ttdoc">Gets pointer to device data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:264</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ad8d8df8fbb877de1d29978288405bf5f"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ad8d8df8fbb877de1d29978288405bf5f">cutlass::HostTensor::kElementsPerStoredItem</a></div><div class="ttdeci">static int const kElementsPerStoredItem</div><div class="ttdoc">Used to handle packing of subbyte elements. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:102</div></div>
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<div class="ttc" id="tensor__view_8h_html"><div class="ttname"><a href="tensor__view_8h.html">tensor_view.h</a></div><div class="ttdoc">Defines a structure containing strides and a pointer to tensor data. </div></div>
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<div class="ttc" id="device__memory_8h_html"><div class="ttname"><a href="device__memory_8h.html">device_memory.h</a></div><div class="ttdoc">C++ interface to CUDA device memory management functions. </div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a068d76dabce39c48b617ee7fe8d7edb8"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a068d76dabce39c48b617ee7fe8d7edb8">cutlass::HostTensor::~HostTensor</a></div><div class="ttdeci">~HostTensor()</div><div class="ttdef"><b>Definition:</b> host_tensor.h:149</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ad3c5c9466713f62a5191e720827f34da"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ad3c5c9466713f62a5191e720827f34da">cutlass::TensorRef< Element, Layout >::ConstTensorRef</a></div><div class="ttdeci">TensorRef< typename platform::remove_const< Element >::type const, Layout > ConstTensorRef</div><div class="ttdoc">TensorRef to constant data. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:179</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a5686ea068c8f3e820ccff015e95bc474"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a5686ea068c8f3e820ccff015e95bc474">cutlass::HostTensor::copy_in_device_to_device</a></div><div class="ttdeci">void copy_in_device_to_device(Element const *ptr_device, LongIndex count=-1)</div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:395</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a4c6d967596e266ceab3d36f6c8d05152"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a4c6d967596e266ceab3d36f6c8d05152">cutlass::HostTensor::ConstReference</a></div><div class="ttdeci">typename ConstTensorRef::Reference ConstReference</div><div class="ttdoc">Constant reference to element in tensor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:99</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a4a16e522cac85735cfcb056dc928de18"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a4a16e522cac85735cfcb056dc928de18">cutlass::HostTensor::stride</a></div><div class="ttdeci">Index stride(int dim) const </div><div class="ttdoc">Returns the layout object&#39;s stride in a given physical dimension. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:329</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_af339765c90429fe99b98a0da6a627421"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#af339765c90429fe99b98a0da6a627421">cutlass::HostTensor::sync_device</a></div><div class="ttdeci">void sync_device()</div><div class="ttdoc">Copies data from host to device. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:372</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a71def6d54ed28dfe3b17fde3e6461578"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a71def6d54ed28dfe3b17fde3e6461578">cutlass::TensorView< Element, Layout >::ConstTensorView</a></div><div class="ttdeci">TensorView< typename platform::remove_const< Element >::type const, Layout > ConstTensorView</div><div class="ttdoc">TensorView pointing to constant memory. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:95</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a78bc9c976c204822680075685cb8363e"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a78bc9c976c204822680075685cb8363e">cutlass::HostTensor::TensorView</a></div><div class="ttdeci">TensorView< Element, Layout > TensorView</div><div class="ttdoc">Tensor reference to device memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:90</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a252ce9281a40863f32be25d3b40d6373"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a252ce9281a40863f32be25d3b40d6373">cutlass::HostTensor::host_data_ptr_offset</a></div><div class="ttdeci">Element * host_data_ptr_offset(LongIndex ptr_element_offset)</div><div class="ttdoc">Gets pointer to host data with a pointer offset. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:242</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html"><div class="ttname"><a href="classcutlass_1_1HostTensor.html">cutlass::HostTensor</a></div><div class="ttdoc">Host tensor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:59</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a075b666917a43c9bc168bfff6db27203"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a075b666917a43c9bc168bfff6db27203">cutlass::HostTensor::device_view</a></div><div class="ttdeci">TensorView device_view(LongIndex ptr_element_offset=0)</div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:293</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html"><div class="ttname"><a href="classcutlass_1_1TensorView.html">cutlass::TensorView< Element, Layout ></a></div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ab3051d2842b3aa3815e2ea5f53abfc2a"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ab3051d2842b3aa3815e2ea5f53abfc2a">cutlass::HostTensor::copy_out_device_to_host</a></div><div class="ttdeci">void copy_out_device_to_host(Element *ptr_host, LongIndex count=-1) const </div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:440</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_abeefdb8bccb2d8d751fdb22fa7e8ef0c"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#abeefdb8bccb2d8d751fdb22fa7e8ef0c">cutlass::HostTensor::copy_out_host_to_device</a></div><div class="ttdeci">void copy_out_host_to_device(Element *ptr_device, LongIndex count=-1) const </div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:470</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ae261f1b7ef78cc52dcb77f1a2fd05b69"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ae261f1b7ef78cc52dcb77f1a2fd05b69">cutlass::HostTensor::at</a></div><div class="ttdeci">ConstReference at(TensorCoord const &coord) const </div><div class="ttdoc">Returns a const reference to the element at the logical Coord in host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:349</div></div>
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<div class="ttc" id="structcutlass_1_1sizeof__bits_html"><div class="ttname"><a href="structcutlass_1_1sizeof__bits.html">cutlass::sizeof_bits</a></div><div class="ttdoc">Defines the size of an element in bits. </div><div class="ttdef"><b>Definition:</b> numeric_types.h:42</div></div>
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<div class="ttc" id="namespacecutlass_1_1device__memory_html_a0a3ab26e6c9a8aae6b09bfb3e4eb24e8"><div class="ttname"><a href="namespacecutlass_1_1device__memory.html#a0a3ab26e6c9a8aae6b09bfb3e4eb24e8">cutlass::device_memory::copy_host_to_host</a></div><div class="ttdeci">void copy_host_to_host(T *dst, T const *src, size_t count=1)</div><div class="ttdef"><b>Definition:</b> device_memory.h:96</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a3c5b60678dfa105b10c87dfaab4cf395"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a3c5b60678dfa105b10c87dfaab4cf395">cutlass::HostTensor::host_ref</a></div><div class="ttdeci">ConstTensorRef host_ref(LongIndex ptr_element_offset=0) const </div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:270</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_af1264450c122c1853231fc64b35a47b8"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#af1264450c122c1853231fc64b35a47b8">cutlass::HostTensor::extent</a></div><div class="ttdeci">TensorCoord extent() const </div><div class="ttdoc">Returns the extent of the tensor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:354</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a7d34307e09d4ea09d68abbf31fe33788"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a7d34307e09d4ea09d68abbf31fe33788">cutlass::HostTensor::host_data</a></div><div class="ttdeci">Element * host_data()</div><div class="ttdoc">Gets pointer to host data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:239</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a6405f217fc2a52f8e23180c9f8160899"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a6405f217fc2a52f8e23180c9f8160899">cutlass::HostTensor::reserve</a></div><div class="ttdeci">void reserve(size_t count, bool device_backed_=true)</div><div class="ttdoc">Resizes internal memory allocations without affecting layout or extent. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:161</div></div>
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<div class="ttc" id="structcutlass_1_1ReferenceFactory_html"><div class="ttname"><a href="structcutlass_1_1ReferenceFactory.html">cutlass::ReferenceFactory</a></div><div class="ttdef"><b>Definition:</b> subbyte_reference.h:557</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef< Element, Layout ></a></div></div>
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<div class="ttc" id="platform_8h_html_a39e234a3e3b0018b58df720bcb143420"><div class="ttname"><a href="platform_8h.html#a39e234a3e3b0018b58df720bcb143420">__NV_STD_MIN</a></div><div class="ttdeci">#define __NV_STD_MIN(a, b)</div><div class="ttdoc">Select minimum(a, b) </div><div class="ttdef"><b>Definition:</b> platform.h:168</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a73430856f79bedb64f9cf6b2044f38e3"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a73430856f79bedb64f9cf6b2044f38e3">cutlass::HostTensor::device_backed</a></div><div class="ttdeci">bool device_backed() const </div><div class="ttdoc">Returns true if device memory is allocated. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:303</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ab777a9a19d9354b4011eef09d0105900"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ab777a9a19d9354b4011eef09d0105900">cutlass::HostTensor::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdoc">Coordinate in logical tensor space. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:78</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a0aba29ebf8715d217817a49356f95d3f"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a0aba29ebf8715d217817a49356f95d3f">cutlass::TensorRef< Element, Layout >::Reference</a></div><div class="ttdeci">typename platform::conditional< sizeof_bits< Element >::value >=8, Element &, SubbyteReference< Element > >::type Reference</div><div class="ttdoc">Reference type to an element. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:159</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_adafe2bee53260d47bc60479c50953f57"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#adafe2bee53260d47bc60479c50953f57">cutlass::HostTensor::host_data</a></div><div class="ttdeci">Reference host_data(LongIndex idx)</div><div class="ttdoc">Gets a reference to an element in host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:245</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a8a947176a4ddab5b784c98a0f1896892"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a8a947176a4ddab5b784c98a0f1896892">cutlass::HostTensor::extent</a></div><div class="ttdeci">TensorCoord & extent()</div><div class="ttdoc">Returns the extent of the tensor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:359</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_af50ce8b091c106ac88b75e15ab028868"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#af50ce8b091c106ac88b75e15ab028868">cutlass::HostTensor::HostTensor</a></div><div class="ttdeci">HostTensor()</div><div class="ttdoc">Default constructor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:128</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ac4445444c8f092dd1be47f1530affbaf"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ac4445444c8f092dd1be47f1530affbaf">cutlass::HostTensor::ConstTensorView</a></div><div class="ttdeci">typename TensorView::ConstTensorView ConstTensorView</div><div class="ttdoc">Tensor reference to constant device memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:93</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a784d0b84de512c1bff131710226e2338"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a784d0b84de512c1bff131710226e2338">cutlass::HostTensor::resize</a></div><div class="ttdeci">void resize(TensorCoord const &extent, bool device_backed_=true)</div><div class="ttdef"><b>Definition:</b> host_tensor.h:221</div></div>
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<div class="ttc" id="namespacecutlass_1_1device__memory_html_a5333f291105136d2e8e4c31329d93c31"><div class="ttname"><a href="namespacecutlass_1_1device__memory.html#a5333f291105136d2e8e4c31329d93c31">cutlass::device_memory::copy_to_host</a></div><div class="ttdeci">void copy_to_host(T *dst, T const *src, size_t count=1)</div><div class="ttdef"><b>Definition:</b> device_memory.h:86</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a2b4858efb0356a6fc01bb9f55f0ad3b2"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a2b4858efb0356a6fc01bb9f55f0ad3b2">cutlass::HostTensor::copy_in_device_to_host</a></div><div class="ttdeci">void copy_in_device_to_host(Element const *ptr_device, LongIndex count=-1)</div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:380</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ac3e08629bab5304f999fb5115453a714"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ac3e08629bab5304f999fb5115453a714">cutlass::HostTensor::offset</a></div><div class="ttdeci">LongIndex offset(TensorCoord const &coord) const </div><div class="ttdoc">Computes the offset of an index from the origin of the tensor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:339</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a75ce60d02c9d8fdcbcaceecc6b3ec7fa"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a75ce60d02c9d8fdcbcaceecc6b3ec7fa">cutlass::HostTensor::host_view</a></div><div class="ttdeci">TensorView host_view(LongIndex ptr_element_offset=0)</div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:283</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_abf381d496b50aad3df4bb72e3d891bac"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#abf381d496b50aad3df4bb72e3d891bac">cutlass::HostTensor::HostTensor</a></div><div class="ttdeci">HostTensor(TensorCoord const &extent, bool device_backed=true)</div><div class="ttdoc">Constructs a tensor given an extent. Assumes a packed layout. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:131</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a55a73e5ff7c7404c0bdee5f2b578b876"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a55a73e5ff7c7404c0bdee5f2b578b876">cutlass::HostTensor::device_ref</a></div><div class="ttdeci">TensorRef device_ref(LongIndex ptr_element_offset=0)</div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:273</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a99748a0d7625419be1bf1b5edea8960f"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a99748a0d7625419be1bf1b5edea8960f">cutlass::HostTensor::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdoc">Data type of individual access. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:63</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ab1253b57fd95f16b2dec9e36e84051d4"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ab1253b57fd95f16b2dec9e36e84051d4">cutlass::HostTensor::at</a></div><div class="ttdeci">Reference at(TensorCoord const &coord)</div><div class="ttdoc">Returns a reference to the element at the logical Coord in host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:344</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ab91b456881d5f9c0f52a4bc89d448d55"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ab91b456881d5f9c0f52a4bc89d448d55">cutlass::HostTensor::reset</a></div><div class="ttdeci">void reset(TensorCoord const &extent, bool device_backed_=true)</div><div class="ttdef"><b>Definition:</b> host_tensor.h:195</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ae76a55dd7f4d827f042f9c9018567271"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ae76a55dd7f4d827f042f9c9018567271">cutlass::HostTensor::ConstTensorRef</a></div><div class="ttdeci">typename TensorRef::ConstTensorRef ConstTensorRef</div><div class="ttdoc">Tensor reference to constant device memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:87</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a7741d51bf7d241d4821e52e47b704c69"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a7741d51bf7d241d4821e52e47b704c69">cutlass::HostTensor::host_data</a></div><div class="ttdeci">ConstReference host_data(LongIndex idx) const </div><div class="ttdoc">Gets a constant reference to an element in host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:253</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a898fc427538275635a55e7633cd89140"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a898fc427538275635a55e7633cd89140">cutlass::HostTensor::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdoc">Clears the HostTensor allocation to size/capacity = 0. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:152</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_aa3458af41bf057e8bcfd895388a52659"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#aa3458af41bf057e8bcfd895388a52659">cutlass::HostTensor::kRank</a></div><div class="ttdeci">static int const kRank</div><div class="ttdoc">Logical rank of tensor index space. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:69</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a81043b0539c8d18c40957411dd149e28"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a81043b0539c8d18c40957411dd149e28">cutlass::HostTensor::device_data_ptr_offset</a></div><div class="ttdeci">Element * device_data_ptr_offset(LongIndex ptr_element_offset)</div><div class="ttdoc">Gets pointer to device data with a pointer offset. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:261</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_aacf36383bd4608f6d30c561ce4851b83"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#aacf36383bd4608f6d30c561ce4851b83">cutlass::HostTensor::size</a></div><div class="ttdeci">size_t size() const </div><div class="ttdoc">Returns the number of elements stored in the host tensor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:229</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a4bf91f711ef17492809c09d53364cb35"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a4bf91f711ef17492809c09d53364cb35">cutlass::HostTensor::device_ref</a></div><div class="ttdeci">ConstTensorRef device_ref(LongIndex ptr_element_offset=0) const </div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:278</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a9b78ff4fb7f317809b8cb8f70c557bea"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a9b78ff4fb7f317809b8cb8f70c557bea">cutlass::HostTensor::layout</a></div><div class="ttdeci">Layout & layout()</div><div class="ttdoc">Returns the layout object. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:309</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a33698c7aa33255e7a2e7abc298e28f39"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a33698c7aa33255e7a2e7abc298e28f39">cutlass::HostTensor::Reference</a></div><div class="ttdeci">typename TensorRef::Reference Reference</div><div class="ttdoc">Reference to element in tensor. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:96</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ac61cee5b25585439f4ccc7d7249ee853"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ac61cee5b25585439f4ccc7d7249ee853">cutlass::HostTensor::resize</a></div><div class="ttdeci">void resize(TensorCoord const &extent, Layout const &layout, bool device_backed_=true)</div><div class="ttdef"><b>Definition:</b> host_tensor.h:204</div></div>
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<div class="ttc" id="matrix__traits_8h_html"><div class="ttname"><a href="matrix__traits_8h.html">matrix_traits.h</a></div><div class="ttdoc">Defines properties of matrices used to denote layout and operands to GEMM kernels. </div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_add43f2f758df7f5e6e028c3cba0cf277"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#add43f2f758df7f5e6e028c3cba0cf277">cutlass::HostTensor::TensorRef</a></div><div class="ttdeci">TensorRef< Element, Layout > TensorRef</div><div class="ttdoc">Tensor reference to device memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:84</div></div>
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<div class="ttc" id="structcutlass_1_1device__memory_1_1allocation_html"><div class="ttname"><a href="structcutlass_1_1device__memory_1_1allocation.html">cutlass::device_memory::allocation< Element ></a></div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a4f23ad5953f9cd5dff8e97d9edbc0cf0"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a4f23ad5953f9cd5dff8e97d9edbc0cf0">cutlass::HostTensor::reset</a></div><div class="ttdeci">void reset(TensorCoord const &extent, Layout const &layout, bool device_backed_=true)</div><div class="ttdef"><b>Definition:</b> host_tensor.h:182</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a23976f8c123de032cf4a2632a894fcf2"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a23976f8c123de032cf4a2632a894fcf2">cutlass::HostTensor::stride</a></div><div class="ttdeci">Stride stride() const </div><div class="ttdoc">Returns the layout object&#39;s stride vector. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:319</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a33679b84f59829c70457b9ff438101bf"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a33679b84f59829c70457b9ff438101bf">cutlass::HostTensor::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdoc">Index type. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:72</div></div>
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<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS. </div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ac921be812016052c690d2dc808d415f1"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ac921be812016052c690d2dc808d415f1">cutlass::HostTensor::host_ref</a></div><div class="ttdeci">TensorRef host_ref(LongIndex ptr_element_offset=0)</div><div class="ttdoc">Accesses the tensor reference pointing to data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:267</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_ab7179440d39b0445113b30b7a460a1ec"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#ab7179440d39b0445113b30b7a460a1ec">cutlass::HostTensor::copy_out_device_to_device</a></div><div class="ttdeci">void copy_out_device_to_device(Element *ptr_device, LongIndex count=-1) const </div><div class="ttdoc">Copy data from a caller-supplied device pointer into host memory. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:455</div></div>
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<div class="ttc" id="namespacecutlass_1_1device__memory_html_a8ff6151b081442db9af7421110c0242b"><div class="ttname"><a href="namespacecutlass_1_1device__memory.html#a8ff6151b081442db9af7421110c0242b">cutlass::device_memory::copy_device_to_device</a></div><div class="ttdeci">void copy_device_to_device(T *dst, T const *src, size_t count=1)</div><div class="ttdef"><b>Definition:</b> device_memory.h:91</div></div>
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<div class="ttc" id="classcutlass_1_1HostTensor_html_a3dd62ca461666b3ac7e690e2befecaae"><div class="ttname"><a href="classcutlass_1_1HostTensor.html#a3dd62ca461666b3ac7e690e2befecaae">cutlass::HostTensor::host_data</a></div><div class="ttdeci">Element const * host_data() const </div><div class="ttdoc">Gets pointer to host data. </div><div class="ttdef"><b>Definition:</b> host_tensor.h:250</div></div>
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</a> 1.8.11
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