wmma_matrix.h
Go to the documentation of this file.
/***************************************************************************************************
* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright notice, this list of
* conditions and the following disclaimer in the documentation and/or other materials
* provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
**************************************************************************************************/
#pragma once
#if defined(__CUDACC__) && (!defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 700)
// Dependent header files should use the following macro to guard all code using
// nvcuda::wmma:: to enable compilation for CUDA Compute Capabilities < sm_70.
// Earlier shader models not support Tensor Cores.
#define CUTLASS_USE_WMMA_API
#include "stdio.h"
#include <crt/mma.h>
#include <cutlass/fragment.h>
#include <cutlass/load_store.h>
#include <cutlass/matrix_traits.h>
#include <cutlass/shape.h>
#include <cutlass/vector.h>
namespace cutlass {
template <MatrixLayout::Kind kLayout_>
struct WmmaLayout {
typedef nvcuda::wmma::col_major Layout;
};
template <>
struct WmmaLayout<MatrixLayout::kRowMajor> {
typedef nvcuda::wmma::row_major Layout;
};
template <GemmOperand::Kind kOperand_,
MatrixLayout::Kind kLayout_,
typename Scalar_,
typename WmmaShape_>
struct WmmaMatrix {};
template <MatrixLayout::Kind kLayout_, typename Scalar_, typename WmmaShape_>
struct WmmaMatrix<GemmOperand::kA, kLayout_, Scalar_, WmmaShape_>
: public nvcuda::wmma::fragment<
nvcuda::wmma::matrix_a,
WmmaShape_::kW,
WmmaShape_::kH,
WmmaShape_::kD,
Scalar_,
typename WmmaLayout<kLayout_>::Layout> {
typedef WmmaMatrix<GemmOperand::kA, kLayout_, Scalar_, WmmaShape_> This_;
CUTLASS_DEVICE This_& operator=(Scalar_ const& x) {
nvcuda::wmma::fill_fragment(*this, x);
return *this;
}
CUTLASS_DEVICE void load(Scalar_ const* pointer, int const stride) {
nvcuda::wmma::load_matrix_sync(*this, pointer, stride);
}
CUTLASS_DEVICE void store(Scalar_* pointer, int const stride) const {
nvcuda::wmma::store_matrix_sync(pointer, *this, stride);
}
};
template <MatrixLayout::Kind kLayout_, typename Scalar_, typename WmmaShape_>
struct WmmaMatrix<GemmOperand::kB, kLayout_, Scalar_, WmmaShape_>
: public nvcuda::wmma::fragment<
nvcuda::wmma::matrix_b,
WmmaShape_::kW,
WmmaShape_::kH,
WmmaShape_::kD,
Scalar_,
typename WmmaLayout<kLayout_>::Layout> {
typedef WmmaMatrix<GemmOperand::kB, kLayout_, Scalar_, WmmaShape_> This_;
CUTLASS_DEVICE This_& operator=(Scalar_ const& x) {
nvcuda::wmma::fill_fragment(*this, x);
return *this;
}
CUTLASS_DEVICE void load(Scalar_ const* pointer, int const stride) {
nvcuda::wmma::load_matrix_sync(*this, pointer, stride);
}
CUTLASS_DEVICE void store(Scalar_* pointer, int const stride) const {
nvcuda::wmma::store_matrix_sync(pointer, *this, stride);
}
};
template <MatrixLayout::Kind kLayout_, typename Scalar_, typename WmmaShape_>
struct WmmaMatrix<GemmOperand::kC, kLayout_, Scalar_, WmmaShape_>
: public nvcuda::wmma::fragment<
nvcuda::wmma::accumulator,
WmmaShape_::kW,
WmmaShape_::kH,
WmmaShape_::kD,
Scalar_> {
typedef WmmaMatrix<GemmOperand::kC, kLayout_, Scalar_, WmmaShape_> This_;
static MatrixLayout::Kind const kLayout = kLayout_;
CUTLASS_DEVICE This_& operator=(Scalar_ const& x) {
nvcuda::wmma::fill_fragment(*this, x);
return *this;
}
CUTLASS_DEVICE void load(Scalar_ const* pointer, int const stride) {
bool const kIsRowMajor = kLayout == MatrixLayout::kRowMajor;
nvcuda::wmma::load_matrix_sync(
*this,
pointer,
stride,
kIsRowMajor ? nvcuda::wmma::mem_row_major : nvcuda::wmma::mem_col_major);
}
CUTLASS_DEVICE void store(Scalar_* pointer, int const stride) const {
bool const kIsRowMajor = kLayout == MatrixLayout::kRowMajor;
nvcuda::wmma::store_matrix_sync(
pointer,
*this,
stride,
kIsRowMajor ? nvcuda::wmma::mem_row_major : nvcuda::wmma::mem_col_major);
}
};
} // namespace cutlass
#endif // defined CUTLASS_USE_WMMA_API
cutlass
Definition: convert.h:33
cutlass::MatrixLayout::kRowMajor
Definition: matrix_traits.h:36
load_store.h
Defines abstractions for efficiently loading and storing vectors to memory.
vector.h
Defines a 1D vector of elements held in the registers of each thread.
cutlass::MatrixLayout::Kind
Kind
Definition: matrix_traits.h:36
cutlass::GemmOperand::Kind
Kind
Definition: matrix_traits.h:43
shape.h
Defines Shape implementing the Layout concept for representing a 4D hypercube of objects.
matrix_traits.h
Defines properties of matrices used to denote layout and operands to GEMM kernels.
fragment.h
Defines Fragment, a statically-sized array for storing parts of matrices within a thread&#39;s registers...