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CUTLASS 2.0 (#62) CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
2019-11-20 08:55:34 +08:00
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<div class="textblock"><code>#include &lt;utility&gt;</code><br />
<code>#include &lt;cstdlib&gt;</code><br />
<code>#include &lt;cmath&gt;</code><br />
<code>#include &quot;<a class="el" href="cutlass_8h_source.html">cutlass/cutlass.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="complex_8h_source.html">cutlass/complex.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="array_8h_source.html">cutlass/array.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="numeric__types_8h_source.html">cutlass/numeric_types.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="distribution_8h_source.html">cutlass/util/distribution.h</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="host_2tensor__foreach_8h_source.html">tensor_foreach.h</a>&quot;</code><br />
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Include dependency graph for host/tensor_fill.h:</div>
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<p><a href="host_2tensor__fill_8h_source.html">Go to the source code of this file.</a></p>
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Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html">cutlass::reference::host::detail::TensorFillFunc&lt; Element, Layout &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">&lt; Layout function <a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">cutlass::reference::host::detail::RandomGaussianFunc&lt; Element &gt;</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html">cutlass::reference::host::detail::TensorFillGaussianFunc&lt; Element, Layout &gt;</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">cutlass::reference::host::detail::RandomUniformFunc&lt; Element &gt;</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html">cutlass::reference::host::detail::TensorFillRandomUniformFunc&lt; Element, Layout &gt;</a></td></tr>
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<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html">cutlass::reference::host::detail::TensorFillDiagonalFunc&lt; Element, Layout &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">&lt; Layout function <a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html">cutlass::reference::host::detail::TensorUpdateOffDiagonalFunc&lt; Element, Layout &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">&lt; Layout function <a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html">cutlass::reference::host::detail::TensorFillLinearFunc&lt; Element, Layout &gt;</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">&lt; Layout function <a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#details">More...</a><br /></td></tr>
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<tr class="memitem:namespacecutlass_1_1reference"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference.html">cutlass::reference</a></td></tr>
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<tr class="memitem:namespacecutlass_1_1reference_1_1host"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html">cutlass::reference::host</a></td></tr>
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Functions</h2></td></tr>
<tr class="memitem:a81b0f81940ce0ecc0d486d2f45659f6e"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a81b0f81940ce0ecc0d486d2f45659f6e"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a81b0f81940ce0ecc0d486d2f45659f6e">cutlass::reference::host::TensorFill</a> (TensorView&lt; Element, Layout &gt; dst, Element val=Element(0))</td></tr>
<tr class="memdesc:a81b0f81940ce0ecc0d486d2f45659f6e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a tensor with a uniform value. <a href="namespacecutlass_1_1reference_1_1host.html#a81b0f81940ce0ecc0d486d2f45659f6e">More...</a><br /></td></tr>
<tr class="separator:a81b0f81940ce0ecc0d486d2f45659f6e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5187d9f07f2b1edebfbad067c7a84826"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a5187d9f07f2b1edebfbad067c7a84826"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a5187d9f07f2b1edebfbad067c7a84826">cutlass::reference::host::TensorFillRandomGaussian</a> (TensorView&lt; Element, Layout &gt; dst, uint64_t seed, double mean=0, double stddev=1, int bits=-1)</td></tr>
<tr class="memdesc:a5187d9f07f2b1edebfbad067c7a84826"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a tensor with random values with a Gaussian distribution. <a href="namespacecutlass_1_1reference_1_1host.html#a5187d9f07f2b1edebfbad067c7a84826">More...</a><br /></td></tr>
<tr class="separator:a5187d9f07f2b1edebfbad067c7a84826"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a121079d5cb24dd0e0339cee552a854de"><td class="memTemplParams" colspan="2">template&lt;typename Element &gt; </td></tr>
<tr class="memitem:a121079d5cb24dd0e0339cee552a854de"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a121079d5cb24dd0e0339cee552a854de">cutlass::reference::host::BlockFillRandomGaussian</a> (Element *ptr, size_t capacity, uint64_t seed, double mean=0, double stddev=1, int bits=-1)</td></tr>
<tr class="memdesc:a121079d5cb24dd0e0339cee552a854de"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a tensor with random values with a Gaussian distribution. <a href="namespacecutlass_1_1reference_1_1host.html#a121079d5cb24dd0e0339cee552a854de">More...</a><br /></td></tr>
<tr class="separator:a121079d5cb24dd0e0339cee552a854de"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8f1500a3e2cb694323bf9d25bafc0fbc"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a8f1500a3e2cb694323bf9d25bafc0fbc"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a8f1500a3e2cb694323bf9d25bafc0fbc">cutlass::reference::host::TensorFillRandomUniform</a> (TensorView&lt; Element, Layout &gt; dst, uint64_t seed, double max=1, double min=0, int bits=-1)</td></tr>
<tr class="memdesc:a8f1500a3e2cb694323bf9d25bafc0fbc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a tensor with random values with a uniform random distribution. <a href="namespacecutlass_1_1reference_1_1host.html#a8f1500a3e2cb694323bf9d25bafc0fbc">More...</a><br /></td></tr>
<tr class="separator:a8f1500a3e2cb694323bf9d25bafc0fbc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a417152b59865d2ef6995ee2398bcea8d"><td class="memTemplParams" colspan="2">template&lt;typename Element &gt; </td></tr>
<tr class="memitem:a417152b59865d2ef6995ee2398bcea8d"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a417152b59865d2ef6995ee2398bcea8d">cutlass::reference::host::BlockFillRandomUniform</a> (Element *ptr, size_t capacity, uint64_t seed, double max=1, double min=0, int bits=-1)</td></tr>
<tr class="memdesc:a417152b59865d2ef6995ee2398bcea8d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a tensor with random values with a uniform random distribution. <a href="namespacecutlass_1_1reference_1_1host.html#a417152b59865d2ef6995ee2398bcea8d">More...</a><br /></td></tr>
<tr class="separator:a417152b59865d2ef6995ee2398bcea8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1c81144ca36832a48d04d1b5b6498080"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a1c81144ca36832a48d04d1b5b6498080"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a1c81144ca36832a48d04d1b5b6498080">cutlass::reference::host::TensorFillDiagonal</a> (TensorView&lt; Element, Layout &gt; dst, Element diag=Element(1), Element other=Element(0))</td></tr>
<tr class="memdesc:a1c81144ca36832a48d04d1b5b6498080"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a tensor everywhere with a unique value for its diagonal. <a href="namespacecutlass_1_1reference_1_1host.html#a1c81144ca36832a48d04d1b5b6498080">More...</a><br /></td></tr>
<tr class="separator:a1c81144ca36832a48d04d1b5b6498080"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a29548cb522d9c147cf34263ecac75d89"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a29548cb522d9c147cf34263ecac75d89"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a29548cb522d9c147cf34263ecac75d89">cutlass::reference::host::TensorFillIdentity</a> (TensorView&lt; Element, Layout &gt; dst)</td></tr>
Fix typos 2 (#842) Co-authored-by: Haicheng Wu <57973641+hwu36@users.noreply.github.com>
2023-03-10 12:22:56 +08:00
<tr class="memdesc:a29548cb522d9c147cf34263ecac75d89"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper to fill a tensor's diagonal with 1 and 0 everywhere else. <a href="namespacecutlass_1_1reference_1_1host.html#a29548cb522d9c147cf34263ecac75d89">More...</a><br /></td></tr>
CUTLASS 2.0 (#62) CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
2019-11-20 08:55:34 +08:00
<tr class="separator:a29548cb522d9c147cf34263ecac75d89"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acbf747241e8ac6ef9b1702b735a7913e"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:acbf747241e8ac6ef9b1702b735a7913e"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#acbf747241e8ac6ef9b1702b735a7913e">cutlass::reference::host::TensorUpdateDiagonal</a> (TensorView&lt; Element, Layout &gt; dst, Element val=Element(1))</td></tr>
<tr class="memdesc:acbf747241e8ac6ef9b1702b735a7913e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Writes a uniform value to the diagonal of a tensor without modifying off-diagonal elements. <a href="namespacecutlass_1_1reference_1_1host.html#acbf747241e8ac6ef9b1702b735a7913e">More...</a><br /></td></tr>
<tr class="separator:acbf747241e8ac6ef9b1702b735a7913e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6d146dc0390e4c045f08b5d2adfcf48a"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a6d146dc0390e4c045f08b5d2adfcf48a"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a6d146dc0390e4c045f08b5d2adfcf48a">cutlass::reference::host::TensorUpdateOffDiagonal</a> (TensorView&lt; Element, Layout &gt; dst, Element other=Element(1))</td></tr>
<tr class="memdesc:a6d146dc0390e4c045f08b5d2adfcf48a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Writes a uniform value to all elements in the tensor without modifying diagonal elements. <a href="namespacecutlass_1_1reference_1_1host.html#a6d146dc0390e4c045f08b5d2adfcf48a">More...</a><br /></td></tr>
<tr class="separator:a6d146dc0390e4c045f08b5d2adfcf48a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac23a650217ddd1640807c2e91e69ab91"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:ac23a650217ddd1640807c2e91e69ab91"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#ac23a650217ddd1640807c2e91e69ab91">cutlass::reference::host::TensorFillLinear</a> (TensorView&lt; Element, Layout &gt; dst, Array&lt; Element, Layout::kRank &gt; const &amp;v, Element s=Element(0))</td></tr>
<tr class="memdesc:ac23a650217ddd1640807c2e91e69ab91"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills tensor with a linear combination of its coordinate and another vector. <a href="namespacecutlass_1_1reference_1_1host.html#ac23a650217ddd1640807c2e91e69ab91">More...</a><br /></td></tr>
<tr class="separator:ac23a650217ddd1640807c2e91e69ab91"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad6e2cd99b8096eaaf79c0a6edbd3e420"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:ad6e2cd99b8096eaaf79c0a6edbd3e420"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#ad6e2cd99b8096eaaf79c0a6edbd3e420">cutlass::reference::host::TensorFillSequential</a> (TensorView&lt; Element, Layout &gt; dst, Element s=Element(0))</td></tr>
<tr class="memdesc:ad6e2cd99b8096eaaf79c0a6edbd3e420"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills tensor with a linear combination of its coordinate and another vector. <a href="namespacecutlass_1_1reference_1_1host.html#ad6e2cd99b8096eaaf79c0a6edbd3e420">More...</a><br /></td></tr>
<tr class="separator:ad6e2cd99b8096eaaf79c0a6edbd3e420"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1808624141976837e298340c9f6c0f6b"><td class="memTemplParams" colspan="2">template&lt;typename Element &gt; </td></tr>
<tr class="memitem:a1808624141976837e298340c9f6c0f6b"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a1808624141976837e298340c9f6c0f6b">cutlass::reference::host::BlockFillSequential</a> (Element *ptr, int64_t capacity, Element v=Element(1), Element s=Element(0))</td></tr>
<tr class="memdesc:a1808624141976837e298340c9f6c0f6b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a block of data with sequential elements. <a href="namespacecutlass_1_1reference_1_1host.html#a1808624141976837e298340c9f6c0f6b">More...</a><br /></td></tr>
<tr class="separator:a1808624141976837e298340c9f6c0f6b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae6171d78c959aefff277cec4cad8fdb3"><td class="memTemplParams" colspan="2">template&lt;typename Element &gt; </td></tr>
<tr class="memitem:ae6171d78c959aefff277cec4cad8fdb3"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#ae6171d78c959aefff277cec4cad8fdb3">cutlass::reference::host::BlockFillRandom</a> (Element *ptr, size_t capacity, uint64_t seed, Distribution dist)</td></tr>
<tr class="memdesc:ae6171d78c959aefff277cec4cad8fdb3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fills a block of data with sequential elements. <a href="namespacecutlass_1_1reference_1_1host.html#ae6171d78c959aefff277cec4cad8fdb3">More...</a><br /></td></tr>
<tr class="separator:ae6171d78c959aefff277cec4cad8fdb3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a224f376c3199603bde4ededa4357eea3"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a224f376c3199603bde4ededa4357eea3"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a224f376c3199603bde4ededa4357eea3">cutlass::reference::host::TensorCopyDiagonalIn</a> (TensorView&lt; Element, Layout &gt; dst, Element const *ptr)</td></tr>
<tr class="memdesc:a224f376c3199603bde4ededa4357eea3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Copies a diagonal in from host memory without modifying off-diagonal elements. <a href="namespacecutlass_1_1reference_1_1host.html#a224f376c3199603bde4ededa4357eea3">More...</a><br /></td></tr>
<tr class="separator:a224f376c3199603bde4ededa4357eea3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a63f6629dd3aabb499ba430d84cb98e05"><td class="memTemplParams" colspan="2">template&lt;typename Element , typename Layout &gt; </td></tr>
<tr class="memitem:a63f6629dd3aabb499ba430d84cb98e05"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacecutlass_1_1reference_1_1host.html#a63f6629dd3aabb499ba430d84cb98e05">cutlass::reference::host::TensorCopyDiagonalOut</a> (Element *ptr, TensorView&lt; Element, Layout &gt; src)</td></tr>
<tr class="memdesc:a63f6629dd3aabb499ba430d84cb98e05"><td class="mdescLeft">&#160;</td><td class="mdescRight">Copies the diagonal of a tensor into a dense buffer in host memory. <a href="namespacecutlass_1_1reference_1_1host.html#a63f6629dd3aabb499ba430d84cb98e05">More...</a><br /></td></tr>
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