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<a href="tensor__view__io_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) 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="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="core__io_8h.html">cutlass/core_io.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</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="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">typename</span> Element,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">typename</span> Layout</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> ></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1detail.html#a5b1d94c43ee400779843fb8c297257e3"> 41</a></span> <span class="keyword">inline</span> std::ostream & <a class="code" href="namespacecutlass_1_1detail.html#a5b1d94c43ee400779843fb8c297257e3">TensorView_WriteLeastSignificantRank</a>(</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::ostream& out, </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> <span class="keyword">const</span>& view,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> &start_coord,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">int</span> rank,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  std::streamsize width) {</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="keywordflow">for</span> (<span class="keywordtype">int</span> idx = 0; idx < view.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(rank); ++idx) {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> coord(start_coord);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  coord[rank] = idx;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">if</span> (idx) {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  out.width(0);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  out << <span class="stringliteral">", "</span>;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">if</span> (idx || coord) {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  out.width(width);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  out << ScalarIO<Element>(view.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord));</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  }</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">typename</span> Element,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">typename</span> Layout</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> ></div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1detail.html#aa643d9608b71a6eedb7dc48d838c9b52"> 71</a></span> <span class="keyword">inline</span> std::ostream & <a class="code" href="namespacecutlass_1_1detail.html#aa643d9608b71a6eedb7dc48d838c9b52">TensorView_WriteRank</a>(</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  std::ostream& out, </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> <span class="keyword">const</span>& view,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> &start_coord,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordtype">int</span> rank,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  std::streamsize width) {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// If called on the least significant rank, write the result as a row</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">if</span> (rank + 1 == Layout::kRank) {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">return</span> <a class="code" href="namespacecutlass_1_1detail.html#a5b1d94c43ee400779843fb8c297257e3">TensorView_WriteLeastSignificantRank</a>(out, view, start_coord, rank, width);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Otherwise, write a sequence of rows and newlines</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> idx = 0; idx < view.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(rank); ++idx) {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> coord(start_coord);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  coord[rank] = idx;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span> (rank + 2 == Layout::kRank) {</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// Write least significant ranks asa matrix with rows delimited by ";\n"</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  out << (idx ? <span class="stringliteral">";\n"</span> : <span class="stringliteral">""</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacecutlass_1_1detail.html#a5b1d94c43ee400779843fb8c297257e3">TensorView_WriteLeastSignificantRank</a>(out, view, coord, rank + 1, width);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Higher ranks are separated by newlines</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  out << (idx ? <span class="stringliteral">"\n"</span> : <span class="stringliteral">""</span>);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="namespacecutlass_1_1detail.html#aa643d9608b71a6eedb7dc48d838c9b52">TensorView_WriteRank</a>(out, view, coord, rank + 1, width);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">return</span> out;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">typename</span> Element,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">typename</span> Layout</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> ></div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="namespacecutlass.html#ab6898de9565b78dc1c446901b899208b"> 113</a></span> <span class="keyword">inline</span> std::ostream& <a class="code" href="namespacecutlass.html#ab6898de9565b78dc1c446901b899208b">TensorViewWrite</a>(</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  std::ostream& out, </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> <span class="keyword">const</span>& view) {</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">// Prints a TensorView according to the following conventions:</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="comment">// - least significant rank is printed as rows separated by ";\n"</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// - all greater ranks are delimited with newlines</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">//</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="comment">// The result is effectively a whitespace-delimited series of 2D matrices.</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> <a class="code" href="namespacecutlass_1_1detail.html#aa643d9608b71a6eedb7dc48d838c9b52">detail::TensorView_WriteRank</a>(out, view, <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a>(), 0, out.width());</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">typename</span> Element,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">typename</span> Layout</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> ></div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="namespacecutlass.html#a806ce4c816ee2c20ed853715f74c092c"> 131</a></span> <span class="keyword">inline</span> std::ostream& <a class="code" href="namespacecutlass.html#addd443fc82f2acf867a61acff6c1cd29">operator<<</a>(</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  std::ostream& out, </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> <span class="keyword">const</span>& view) {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">// Prints a TensorView according to the following conventions:</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// - least significant rank is printed as rows separated by ";\n"</span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// - all greater ranks are delimited with newlines</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">//</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// The result is effectively a whitespace-delimited series of 2D matrices.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">return</span> <a class="code" href="namespacecutlass.html#ab6898de9565b78dc1c446901b899208b">TensorViewWrite</a>(out, view);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</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> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="core__io_8h_html"><div class="ttname"><a href="core__io_8h.html">core_io.h</a></div><div class="ttdoc">Helpers for printing cutlass/core objects. </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_1TensorView_html_a7d3914dd5042c9c40be9e21a7b4e9ece"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">cutlass::TensorView::extent</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorCoord const & extent() const </div><div class="ttdoc">Returns the extent of the view (the size along each logical dimension). </div><div class="ttdef"><b>Definition:</b> tensor_view.h:167</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="namespacecutlass_html_ab6898de9565b78dc1c446901b899208b"><div class="ttname"><a href="namespacecutlass.html#ab6898de9565b78dc1c446901b899208b">cutlass::TensorViewWrite</a></div><div class="ttdeci">std::ostream & TensorViewWrite(std::ostream &out, TensorView< Element, Layout > const &view)</div><div class="ttdoc">Prints human-readable representation of a TensorView to an ostream. </div><div class="ttdef"><b>Definition:</b> tensor_view_io.h:113</div></div>
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<div class="ttc" id="namespacecutlass_1_1detail_html_a5b1d94c43ee400779843fb8c297257e3"><div class="ttname"><a href="namespacecutlass_1_1detail.html#a5b1d94c43ee400779843fb8c297257e3">cutlass::detail::TensorView_WriteLeastSignificantRank</a></div><div class="ttdeci">std::ostream & TensorView_WriteLeastSignificantRank(std::ostream &out, TensorView< Element, Layout > const &view, Coord< Layout::kRank > const &start_coord, int rank, std::streamsize width)</div><div class="ttdoc">Helper to write the least significant rank of a TensorView. </div><div class="ttdef"><b>Definition:</b> tensor_view_io.h:41</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="structcutlass_1_1Coord_html"><div class="ttname"><a href="structcutlass_1_1Coord.html">cutlass::Coord< Layout::kRank ></a></div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a8758907a1c9b1fcd00e7ece626d03b76"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Reference at(TensorCoord const &coord) const </div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:307</div></div>
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<div class="ttc" id="namespacecutlass_html_addd443fc82f2acf867a61acff6c1cd29"><div class="ttname"><a href="namespacecutlass.html#addd443fc82f2acf867a61acff6c1cd29">cutlass::operator<<</a></div><div class="ttdeci">std::ostream & operator<<(std::ostream &out, complex< T > const &z)</div><div class="ttdef"><b>Definition:</b> complex.h:291</div></div>
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<div class="ttc" id="namespacecutlass_1_1detail_html_aa643d9608b71a6eedb7dc48d838c9b52"><div class="ttname"><a href="namespacecutlass_1_1detail.html#aa643d9608b71a6eedb7dc48d838c9b52">cutlass::detail::TensorView_WriteRank</a></div><div class="ttdeci">std::ostream & TensorView_WriteRank(std::ostream &out, TensorView< Element, Layout > const &view, Coord< Layout::kRank > const &start_coord, int rank, std::streamsize width)</div><div class="ttdoc">Helper to write a rank of a TensorView. </div><div class="ttdef"><b>Definition:</b> tensor_view_io.h:71</div></div>
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