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.
This commit is contained in:
Andrew Kerr
@@ -0,0 +1,710 @@
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/***************************************************************************************************
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* Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*!
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\file
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\brief Boost-like numeric conversion operator for CUTLASS numeric types
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/array.h"
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#include "cutlass/half.h"
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namespace cutlass {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Floating-point rounding style similare to Standard Library's formats but supporting
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/// additional rounding options.
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enum class FloatRoundStyle {
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round_indeterminate, ///< rounding mode unknown
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round_toward_zero, ///< round toward zero
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round_to_nearest, ///< round to nearest even
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round_toward_infinity, ///< round toward infinity
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round_toward_neg_infinity, ///< round toward negative infinity
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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template <
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typename T,
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typename S,
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FloatRoundStyle Round = FloatRoundStyle::round_to_nearest
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>
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struct NumericConverter {
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using result_type = T;
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using source_type = S;
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static FloatRoundStyle const round_style = Round;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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return static_cast<result_type>(s);
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Partial specializations for float => int8_t
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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template <FloatRoundStyle Round>
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struct NumericConverter<int8_t, float, Round> {
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using result_type = int8_t;
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using source_type = float;
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static FloatRoundStyle const round_style = Round;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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result_type result = static_cast<int8_t>(s);
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return result;
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for float <= half_t
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template <typename T, FloatRoundStyle Round>
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struct NumericConverter<T, T, Round> {
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using result_type = T;
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using source_type = T;
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static FloatRoundStyle const round_style = Round;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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return s;
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Partial specializations for float <=> half_t
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for float <= half_t
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template <FloatRoundStyle Round>
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struct NumericConverter<float, half_t, Round> {
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using result_type = float;
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using source_type = half_t;
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static FloatRoundStyle const round_style = Round;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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result_type result = static_cast<float>(s);
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return result;
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/// Specialization for round-to-nearest
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template <>
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struct NumericConverter<half_t, float, FloatRoundStyle::round_to_nearest> {
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using result_type = half_t;
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using source_type = float;
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static FloatRoundStyle const round_style = FloatRoundStyle::round_to_nearest;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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result_type result = static_cast<half_t>(s);
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return result;
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/// Specialization for round-toward-zero
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template <>
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struct NumericConverter<half_t, float, FloatRoundStyle::round_toward_zero> {
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using result_type = half_t;
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using source_type = float;
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static FloatRoundStyle const round_style = FloatRoundStyle::round_toward_zero;
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/// Round toward zero
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & flt) {
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#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)
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return half_t(__float2half_rz(flt));
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#else
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// software implementation rounds toward nearest even
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unsigned const& s = reinterpret_cast<unsigned const &>(flt);
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uint16_t sign = uint16_t((s >> 16) & 0x8000);
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int16_t exp = uint16_t(((s >> 23) & 0xff) - 127);
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int mantissa = s & 0x7fffff;
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uint16_t u = 0;
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if ((s & 0x7fffffff) == 0) {
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// sign-preserving zero
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return half_t::bitcast(sign);
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}
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if (exp > 15) {
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if (exp == 128 && mantissa) {
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// not a number
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u = 0x7fff;
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} else {
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// overflow to infinity
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u = sign | 0x7c00;
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}
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return half_t::bitcast(u);
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}
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if (exp >= -14) {
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// normal fp32 to normal fp16
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exp = uint16_t(exp + uint16_t(15));
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u = uint16_t(((exp & 0x1f) << 10));
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u = uint16_t(u | (mantissa >> 13));
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} else {
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// normal single-precision to subnormal half_t-precision representation
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int rshift = (-14 - exp);
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if (rshift < 32) {
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mantissa |= (1 << 23);
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mantissa = (mantissa >> rshift);
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u = (uint16_t(mantissa >> 13) & 0x3ff);
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} else {
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mantissa = 0;
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u = 0;
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}
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}
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u |= sign;
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return half_t::bitcast(u);
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#endif // defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Conversion and Clamp operator for Integers
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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template <
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typename T,
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typename S
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>
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struct NumericConverterClamp {
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using result_type = T;
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using source_type = S;
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static_assert((platform::is_same<result_type, int32_t>::value ||
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platform::is_same<result_type, int8_t>::value ||
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platform::is_same<result_type, cutlass::int4b_t>::value),
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"Clamp is only needed for integer types");
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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NumericConverter<result_type, source_type> convert_op;
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result_type const kClamp_max =
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(0x1U << (sizeof_bits<result_type>::value - 1)) - 1;
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result_type const kClamp_min = -kClamp_max - 1;
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bool is_int_min = !(s > kClamp_min);
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bool is_int_max = !(s < kClamp_max);
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return (is_int_min ? kClamp_min : (is_int_max ? kClamp_max : convert_op(s)));
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/// Partial specialization for clamping from a single-precision float.
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template <
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typename T
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>
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struct NumericConverterClamp<T, float> {
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using result_type = T;
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using source_type = float;
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static_assert((platform::is_same<result_type, int32_t>::value ||
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platform::is_same<result_type, int8_t>::value ||
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platform::is_same<result_type, cutlass::int4b_t>::value),
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"Clamp is only needed for integer types");
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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NumericConverter<result_type, source_type> convert_op;
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float kClamp_max = float((1 << (sizeof_bits<result_type>::value - 1)) - 1);
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float kClamp_min = -kClamp_max - 1;
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float source = s;
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source = fmaxf(source, kClamp_min);
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source = fminf(source, kClamp_max);
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return convert_op(source);
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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//
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// Conversion operator for Array
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//
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Conversion operator for Array
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template <
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typename T,
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typename S,
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int N,
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FloatRoundStyle Round = FloatRoundStyle::round_to_nearest
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>
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struct NumericArrayConverter {
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using result_type = Array<T, N>;
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using source_type = Array<S, N>;
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static FloatRoundStyle const round_style = Round;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & s) {
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result_type result;
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NumericConverter<T, S, Round> convert_;
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CUTLASS_PRAGMA_UNROLL
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for (int i = 0; i < N; ++i) {
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result[i] = convert_(s[i]);
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}
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return result;
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Partial specialization for Array<half, 2> <= Array<float, 2>, round to nearest
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template <>
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struct NumericArrayConverter<half_t, float, 2, FloatRoundStyle::round_to_nearest> {
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using result_type = Array<half_t, 2>;
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using source_type = Array<float, 2>;
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static FloatRoundStyle const round_style = FloatRoundStyle::round_to_nearest;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & source) {
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Array<half_t, 2> result;
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#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)
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reinterpret_cast<__half2 &>(result) = __float22half2_rn(reinterpret_cast<float2 const &>(source));
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#else
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NumericConverter<half_t, float, round_style> convert_;
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result[0] = convert_(source[0]);
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result[1] = convert_(source[1]);
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#endif
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return result;
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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};
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/// Partial specialization for Array<float, 2> <= Array<half_t, 2>, round to nearest
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template <FloatRoundStyle Round>
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struct NumericArrayConverter<float, half_t, 2, Round> {
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using result_type = Array<float, 2>;
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using source_type = Array<half_t, 2>;
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static FloatRoundStyle const round_style = FloatRoundStyle::round_to_nearest;
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CUTLASS_HOST_DEVICE
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static result_type convert(source_type const & source) {
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Array<float, 2> result;
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#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 530)
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reinterpret_cast<float2 &>(result) = __half22float2(reinterpret_cast<__half2 const &>(source));
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#else
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NumericConverter<float, half_t, round_style> convert_;
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result[0] = convert_(source[0]);
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result[1] = convert_(source[1]);
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#endif
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return result;
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}
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CUTLASS_HOST_DEVICE
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result_type operator()(source_type const &s) {
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return convert(s);
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}
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||||
};
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||||
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||||
/////////////////////////////////////////////////////////////////////////////////////////////////
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||||
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||||
/// Partial specialization for Array<half> <= Array<float>
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||||
template <
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int N,
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FloatRoundStyle Round
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>
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||||
struct NumericArrayConverter<half_t, float, N, Round> {
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||||
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||||
using result_type = Array<half_t, N>;
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||||
using source_type = Array<float, N>;
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||||
static FloatRoundStyle const round_style = Round;
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||||
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||||
CUTLASS_HOST_DEVICE
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||||
static result_type convert(source_type const & source) {
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||||
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||||
NumericArrayConverter<half_t, float, 2, Round> convert_vector_;
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||||
NumericConverter<half_t, float, Round> convert_element_;
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||||
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||||
result_type result;
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||||
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||||
Array<half_t, 2> *result_ptr = reinterpret_cast<Array<half_t, 2> *>(&result);
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||||
Array<float, 2> const *source_ptr = reinterpret_cast<Array<float, 2> const *>(&source);
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||||
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||||
CUTLASS_PRAGMA_UNROLL
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for (int i = 0; i < N / 2; ++i) {
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||||
result_ptr[i] = convert_vector_(source_ptr[i]);
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||||
}
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||||
|
||||
if (N % 2) {
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||||
result[N - 1] = convert_element_(source[N - 1]);
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||||
}
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||||
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||||
return result;
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
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||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
/// Partial specialization for Array<half> <= Array<float>
|
||||
template <
|
||||
int N,
|
||||
FloatRoundStyle Round
|
||||
>
|
||||
struct NumericArrayConverter<float, half_t, N, Round> {
|
||||
|
||||
using result_type = Array<float, N>;
|
||||
using source_type = Array<half_t, N>;
|
||||
static FloatRoundStyle const round_style = Round;
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
static result_type convert(source_type const & source) {
|
||||
|
||||
NumericArrayConverter<float, half_t, 2, Round> convert_vector_;
|
||||
NumericConverter<float, half_t, Round> convert_element_;
|
||||
|
||||
result_type result;
|
||||
|
||||
Array<float, 2> *result_ptr = reinterpret_cast<Array<float, 2> *>(&result);
|
||||
Array<half_t, 2> const *source_ptr = reinterpret_cast<Array<half_t, 2> const *>(&source);
|
||||
|
||||
CUTLASS_PRAGMA_UNROLL
|
||||
for (int i = 0; i < N / 2; ++i) {
|
||||
result_ptr[i] = convert_vector_(source_ptr[i]);
|
||||
}
|
||||
|
||||
if (N % 2) {
|
||||
result[N - 1] = convert_element_(source[N - 1]);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
// Conditional guards to enable partial specialization for packed integers
|
||||
#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 720) && (__CUDACC_VER_MAJOR__ >= 10) && (__CUDACC_VER_MINOR__ >= 2)
|
||||
|
||||
/// Partial specialization for Array<int8_t, 1> <= Array<int, 1>
|
||||
template <
|
||||
FloatRoundStyle Round
|
||||
>
|
||||
struct NumericArrayConverter<int8_t, int, 1, Round> {
|
||||
|
||||
using result_type = Array<int8_t, 1>;
|
||||
using source_type = Array<int, 1>;
|
||||
static FloatRoundStyle const round_style = Round;
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
static result_type convert(source_type const & source) {
|
||||
NumericConverter<int8_t, int, Round> convert_element_;
|
||||
|
||||
result_type result;
|
||||
|
||||
result[0] = convert_element_(source[0]);
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
/// Partial specialization for Array<int8_t, 2> <= Array<int, 2>
|
||||
template <
|
||||
FloatRoundStyle Round
|
||||
>
|
||||
struct NumericArrayConverter<int8_t, int, 2, Round> {
|
||||
|
||||
using result_type = Array<int8_t, 2>;
|
||||
using source_type = Array<int, 2>;
|
||||
static FloatRoundStyle const round_style = Round;
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
static result_type convert(source_type const & source) {
|
||||
|
||||
uint32_t tmp;
|
||||
|
||||
asm volatile(
|
||||
"cvt.pack.sat.s8.s32.b32 %0, %2, %1, 0;\n"
|
||||
: "=r"(tmp) : "r"(source[0]), "r"(source[1]));
|
||||
|
||||
uint16_t out = (tmp & 0xffff);
|
||||
return reinterpret_cast<result_type const &>(out);
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
/// Partial specialization for Array<int8_t, 4> <= Array<int, 4>
|
||||
template <
|
||||
FloatRoundStyle Round
|
||||
>
|
||||
struct NumericArrayConverter<int8_t, int, 4, Round> {
|
||||
|
||||
using result_type = Array<int8_t, 4>;
|
||||
using source_type = Array<int, 4>;
|
||||
static FloatRoundStyle const round_style = Round;
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
static result_type convert(source_type const & source) {
|
||||
|
||||
unsigned out;
|
||||
|
||||
asm volatile(
|
||||
"{ .reg .u32 r4;"
|
||||
"cvt.pack.sat.s8.s32.b32 r4, %4, %3, 0;"
|
||||
"cvt.pack.sat.s8.s32.b32 %0, %2, %1, r4;"
|
||||
"}"
|
||||
: "=r"(out) : "r"(source[0]), "r"(source[1]), "r"(source[2]), "r"(source[3]));
|
||||
|
||||
return reinterpret_cast<result_type const &>(out);
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
/// Partial specialization for Array<int8_t> <= Array<int>
|
||||
template <
|
||||
int N,
|
||||
FloatRoundStyle Round
|
||||
>
|
||||
struct NumericArrayConverter<int8_t, int, N, Round> {
|
||||
static_assert(!(N % 4), "N must be multiple of 4.");
|
||||
|
||||
using result_type = Array<int8_t, N>;
|
||||
using source_type = Array<int, N>;
|
||||
static FloatRoundStyle const round_style = Round;
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
static result_type convert(source_type const & source) {
|
||||
|
||||
NumericArrayConverter<int8_t, int, 4, Round> convert_vector_;
|
||||
|
||||
result_type result;
|
||||
|
||||
Array<int8_t, 4> *result_ptr = reinterpret_cast<Array<int8_t, 4> *>(&result);
|
||||
Array<int, 4> const *source_ptr = reinterpret_cast<Array<int, 4> const *>(&source);
|
||||
|
||||
CUTLASS_PRAGMA_UNROLL
|
||||
for (int i = 0; i < N / 4; ++i) {
|
||||
result_ptr[i] = convert_vector_(source_ptr[i]);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
#endif // Conditional guards to enable partial specialization for packed integers
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
#if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 750) && (__CUDACC_VER_MAJOR__ >= 10) && (__CUDACC_VER_MINOR__ >= 2)
|
||||
|
||||
/// Partial specialization for Array<int4b_t, 8> <= Array<int, 8>
|
||||
template <
|
||||
FloatRoundStyle Round
|
||||
>
|
||||
struct NumericArrayConverter<int4b_t, int, 8, Round> {
|
||||
|
||||
using result_type = Array<int4b_t, 8>;
|
||||
using source_type = Array<int, 8>;
|
||||
static FloatRoundStyle const round_style = Round;
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
static result_type convert(source_type const & source) {
|
||||
|
||||
unsigned out;
|
||||
|
||||
asm volatile(
|
||||
"{ .reg .u32 r4;"
|
||||
"cvt.pack.sat.s4.s32.b32 r4, %8, %7, 0;"
|
||||
"cvt.pack.sat.s4.s32.b32 r4, %6, %5, r4;"
|
||||
"cvt.pack.sat.s4.s32.b32 r4, %4, %3, r4;"
|
||||
"cvt.pack.sat.s4.s32.b32 %0, %2, %1, r4;"
|
||||
"}"
|
||||
: "=r"(out)
|
||||
: "r"(source[0]), "r"(source[1]), "r"(source[2]), "r"(source[3]),
|
||||
"r"(source[4]), "r"(source[5]), "r"(source[6]), "r"(source[7]));
|
||||
|
||||
return reinterpret_cast<result_type const &>(out);
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
/// Partial specialization for Array<int4b_t> <= Array<int>
|
||||
template <
|
||||
int N,
|
||||
FloatRoundStyle Round
|
||||
>
|
||||
struct NumericArrayConverter<int4b_t, int, N, Round> {
|
||||
static_assert(!(N % 8), "N must be multiple of 8.");
|
||||
|
||||
using result_type = Array<int4b_t, N>;
|
||||
using source_type = Array<int, N>;
|
||||
static FloatRoundStyle const round_style = Round;
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
static result_type convert(source_type const & source) {
|
||||
|
||||
NumericArrayConverter<int4b_t, int, 8, Round> convert_vector_;
|
||||
|
||||
result_type result;
|
||||
|
||||
Array<int4b_t, 8> *result_ptr = reinterpret_cast<Array<int4b_t, 8> *>(&result);
|
||||
Array<int, 8> const *source_ptr = reinterpret_cast<Array<int, 8> const *>(&source);
|
||||
|
||||
CUTLASS_PRAGMA_UNROLL
|
||||
for (int i = 0; i < N / 8; ++i) {
|
||||
result_ptr[i] = convert_vector_(source_ptr[i]);
|
||||
}
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
CUTLASS_HOST_DEVICE
|
||||
result_type operator()(source_type const &s) {
|
||||
return convert(s);
|
||||
}
|
||||
};
|
||||
|
||||
#endif // Conditional guards to enable partial specialization for packed integers
|
||||
|
||||
/////////////////////////////////////////////////////////////////////////////////////////////////
|
||||
|
||||
} // namespace cutlass
|
||||
Reference in New Issue
Block a user