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<a href="tensor__norm_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="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="complex_8h.html">cutlass/complex.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</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="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="host_2tensor__foreach_8h.html">cutlass/util/reference/host/tensor_foreach.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span>reference {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>host {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">typename</span> Element,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">typename</span> Layout,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">typename</span> ElementReduction</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> ></div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a0995c2093dcb952de0a8b9fb199352a1"> 47</a></span>  ElementReduction <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a0995c2093dcb952de0a8b9fb199352a1">TensorNorm</a>(</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> view,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  ElementReduction accumulator) {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a3825b1aaaf5e5abf0de5f427e3481ada">TensorForEachLambda</a>(</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  view.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  [&](<span class="keyword">typename</span> Layout::TensorCoord <span class="keyword">const</span> & coord) {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  Element element = Element(view.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord));</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  accumulator = <a class="code" href="namespacecutlass.html#a326d3123e33cfd02c4e7ad519c56561f">cutlass::norm_accumulate</a>(element, accumulator);</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">return</span> <a class="code" href="namespacecutlass.html#a28f05d94dbdfc97cddbeab3a5d23839d">std::sqrt</a>(accumulator);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">typename</span> Layout</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> ></div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a8e1741fda1d41ab51a960e5f6fe5b59e"> 65</a></span> <span class="keywordtype">double</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a0995c2093dcb952de0a8b9fb199352a1">TensorNorm</a>(<a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> view) {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordflow">return</span> TensorNorm<Element, Layout, double>(view, 0);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> } <span class="comment">// namespace host</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> } <span class="comment">// namespace reference</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a0995c2093dcb952de0a8b9fb199352a1"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a0995c2093dcb952de0a8b9fb199352a1">cutlass::reference::host::TensorNorm</a></div><div class="ttdeci">ElementReduction TensorNorm(TensorView< Element, Layout > view, ElementReduction accumulator)</div><div class="ttdoc">Computes the p=2 norm of the elements of a tensor with arbitrary reduction data type. </div><div class="ttdef"><b>Definition:</b> tensor_norm.h:47</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="complex_8h_html"><div class="ttname"><a href="complex_8h.html">complex.h</a></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="namespacecutlass_html_a326d3123e33cfd02c4e7ad519c56561f"><div class="ttname"><a href="namespacecutlass.html#a326d3123e33cfd02c4e7ad519c56561f">cutlass::norm_accumulate</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE R norm_accumulate(T const &x, R const &accumulator)</div><div class="ttdoc">Norm-accumulate calculation. </div><div class="ttdef"><b>Definition:</b> complex.h:343</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="namespacecutlass_1_1reference_1_1host_html_a3825b1aaaf5e5abf0de5f427e3481ada"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a3825b1aaaf5e5abf0de5f427e3481ada">cutlass::reference::host::TensorForEachLambda</a></div><div class="ttdeci">void TensorForEachLambda(Coord< Rank > extent, Func func)</div><div class="ttdoc">Iterates over the index space of a tensor and calls a C++ lambda. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:98</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="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="namespacecutlass_html_a28f05d94dbdfc97cddbeab3a5d23839d"><div class="ttname"><a href="namespacecutlass.html#a28f05d94dbdfc97cddbeab3a5d23839d">cutlass::sqrt</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE complex< T > sqrt(complex< T > const &z)</div><div class="ttdoc">Computes the square root of complex number z. </div><div class="ttdef"><b>Definition:</b> complex.h:393</div></div>
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<div class="ttc" id="host_2tensor__foreach_8h_html"><div class="ttname"><a href="host_2tensor__foreach_8h.html">tensor_foreach.h</a></div></div>
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