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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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&#160;
<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
<li>random_normal_float()
: <a class="el" href="namespacecutlass_1_1reference_1_1device_1_1detail.html#aad6bb03250c194b0492e95836ff0670f">cutlass::reference::device::detail</a>
</li>
<li>random_normal_float&lt; double &gt;()
: <a class="el" href="namespacecutlass_1_1reference_1_1device_1_1detail.html#a01407aef17bb71937749d54212a4e1dc">cutlass::reference::device::detail</a>
</li>
<li>random_uniform_float()
: <a class="el" href="namespacecutlass_1_1reference_1_1device_1_1detail.html#a51f1d0adae831ce5ec07dfbfb36b6408">cutlass::reference::device::detail</a>
</li>
<li>random_uniform_float&lt; double &gt;()
: <a class="el" href="namespacecutlass_1_1reference_1_1device_1_1detail.html#a205da4816550538f0589fde5a43d34e8">cutlass::reference::device::detail</a>
</li>
<li>real()
: <a class="el" href="namespacecutlass.html#a2ccc4e86a30fe5337bc3664e6bcd1bb4">cutlass</a>
</li>
<li>relatively_equal()
: <a class="el" href="namespacecutlass.html#aebc97e25721b38692159a6d50d545fe0">cutlass</a>
</li>
<li>relatively_equal&lt; double &gt;()
: <a class="el" href="namespacecutlass.html#ad5021c2735e27a869a571026bc9c6c7f">cutlass</a>
</li>
<li>relatively_equal&lt; float &gt;()
: <a class="el" href="namespacecutlass.html#a630d3b4208f2c6fd8a5d2a6dcdd990aa">cutlass</a>
</li>
<li>relatively_equal&lt; half_t &gt;()
: <a class="el" href="namespacecutlass.html#a26d02a5d1ffaf25731c3d6fb09ee1990">cutlass</a>
</li>
<li>relatively_equal&lt; int16_t &gt;()
: <a class="el" href="namespacecutlass.html#aec96b8d17c5dc5c274fac2a3f94aecab">cutlass</a>
</li>
<li>relatively_equal&lt; int32_t &gt;()
: <a class="el" href="namespacecutlass.html#ad7ce0f4e7abaf531c187dc535db935d4">cutlass</a>
</li>
<li>relatively_equal&lt; int4b_t &gt;()
: <a class="el" href="namespacecutlass.html#af7c5c3f6da119eafdde3244d7cf56797">cutlass</a>
</li>
<li>relatively_equal&lt; int64_t &gt;()
: <a class="el" href="namespacecutlass.html#a9f5f21efb4b2490f8bf51a9eeee3e24f">cutlass</a>
</li>
<li>relatively_equal&lt; int8_t &gt;()
: <a class="el" href="namespacecutlass.html#a8ba332bb1c717a6d13c2ad9287cfe5cc">cutlass</a>
</li>
<li>relatively_equal&lt; uint16_t &gt;()
: <a class="el" href="namespacecutlass.html#a1a6c0b9fec0db0628b085c1b3021eb0f">cutlass</a>
</li>
<li>relatively_equal&lt; uint1b_t &gt;()
: <a class="el" href="namespacecutlass.html#af61f11e5381980cae375cf02893f102e">cutlass</a>
</li>
<li>relatively_equal&lt; uint32_t &gt;()
: <a class="el" href="namespacecutlass.html#aa869ccb365e73fa0c00b272b8e64eef2">cutlass</a>
</li>
<li>relatively_equal&lt; uint4b_t &gt;()
: <a class="el" href="namespacecutlass.html#ace93a25aa5f3ba5318465362cd5be2a1">cutlass</a>
</li>
<li>relatively_equal&lt; uint64_t &gt;()
: <a class="el" href="namespacecutlass.html#a8f182001e54b8704d0cfc2e7b1456faf">cutlass</a>
</li>
<li>relatively_equal&lt; uint8_t &gt;()
: <a class="el" href="namespacecutlass.html#a301593d45e08bc8fa84a189261593879">cutlass</a>
</li>
<li>relatively_equal_float()
: <a class="el" href="namespacecutlass_1_1detail.html#a761bb4b7b448dbc213d537ef3ded340c">cutlass::detail</a>
</li>
<li>RematerializeBlockDimX()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#a846857170e9a0410739a3594748e74b0">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeBlockDimY()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#a339ef715a891ee08c49b5e6cfeba5b82">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeBlockDimZ()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#a423727aa969abf5b5366a3af2c6c2e1b">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeBlockIdxX()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#ab7d937f18d3e5a4ec9ded385c7af507c">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeBlockIdxY()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#a4675f298898b2ca2517c5887a7c207c1">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeBlockIdxZ()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#ac2ba2ad2fe61f2135bc25c6cbd1340eb">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeThreadIdxX()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#a3deb0f9ea5e380cbf6f54f536165abc9">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeThreadIdxY()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#a467d5ab320ef9ee5ee1f966165ba53b5">cutlass::gemm::threadblock</a>
</li>
<li>RematerializeThreadIdxZ()
: <a class="el" href="namespacecutlass_1_1gemm_1_1threadblock.html#a4a8ce0c78fde28ed38481ce8f9b20999">cutlass::gemm::threadblock</a>
</li>
<li>reorder_column()
: <a class="el" href="namespacecutlass.html#a733a528d54290aae699f939e0ea6e247">cutlass</a>
</li>
<li>round_nearest()
: <a class="el" href="namespacecutlass.html#a17c8c408d672d26f1c70d2435f6ac83e">cutlass</a>
</li>
</ul>
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