| CUTLASS CUDA Templates for Linear Algebra Subroutines and Solvers

- Main Page
- Modules
- Namespaces
- Classes
- Files

- File List
- File Members

default_mma_tensor_op.h
Go to the documentation of this file.
1 /***************************************************************************************************
2 * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
3 *
4 * Redistribution and use in source and binary forms, with or without modification, are permitted
5 * provided that the following conditions are met:
6 * * Redistributions of source code must retain the above copyright notice, this list of
7 * conditions and the following disclaimer.
8 * * Redistributions in binary form must reproduce the above copyright notice, this list of
9 * conditions and the following disclaimer in the documentation and/or other materials
10 * provided with the distribution.
11 * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
12 * to endorse or promote products derived from this software without specific prior written
13 * permission.
14 *
15 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
16 * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
17 * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
18 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
19 * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
20 * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
21 * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
22 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
23 *
24 **************************************************************************************************/
29 #pragma once
30
31 #include "cutlass/cutlass.h"
32 #include "cutlass/gemm/warp/mma_tensor_op.h"
33
34 namespace cutlass {
35 namespace gemm {
36 namespace warp {
37
39
40 template <
42 typename WarpShape_,
44 typename InstructionShape_,
46 typename ElementA_,
48 typename LayoutA_,
50 typename ElementB_,
52 typename LayoutB_,
54 typename ElementC_,
56 typename LayoutC_,
58 typename Operator_ = arch::OpMultiplyAdd,
60 int PartitionsK = 1,
63 bool AccumulatorsInRowMajor = false,
65 int PartitionsN = 1
66 >
67 struct DefaultMmaTensorOp;
68
70
72 template <
74 typename WarpShape_,
76 typename InstructionShape_,
78 typename ElementA,
80 typename LayoutA,
82 typename ElementB,
84 typename LayoutB,
86 typename ElementC,
88 typename LayoutC,
90 typename Operator_,
92 int PartitionsK,
95 bool AccumulatorsInRowMajor,
97 int PartitionsN>
98 struct DefaultMmaTensorOp {
99 using Policy = cutlass::gemm::warp::MmaTensorOpPolicy<
100 cutlass::arch::Mma<InstructionShape_, 32, ElementA,
101 cutlass::layout::RowMajor, ElementB,
102 cutlass::layout::ColumnMajor, ElementC,
103 cutlass::layout::RowMajor, Operator_>,
104 cutlass::MatrixShape<1, 1> >;
105
106 // Define the warp-level tensor op
107 using Type = cutlass::gemm::warp::MmaTensorOp<
108 WarpShape_, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC,
109 Policy, PartitionsK, AccumulatorsInRowMajor, PartitionsN>;
110 };
111
113
114 } // namespace warp
115 } // namespace gemm
116 } // namespace cutlass
cutlass::MatrixShape
Describes the size of a matrix tile.
Definition: matrix_shape.h:42
cutlass
Definition: aligned_buffer.h:35
cutlass::gemm::warp::DefaultMmaTensorOp
Partial specialization for m-by-n-by-kgroup.
Definition: default_mma_tensor_op.h:67
cutlass::gemm::warp::MmaTensorOp
Structure to compute the matrix product targeting CUDA cores and SIMT math instructions.
Definition: mma_tensor_op.h:82
cutlass::layout::ColumnMajor
Mapping function for column-major matrices.
Definition: layout/matrix.h:142
cutlass::gemm::warp::MmaTensorOpPolicy
Policy.
Definition: mma_tensor_op_policy.h:48
cutlass::layout::RowMajor
Mapping function for row-major matrices.
Definition: layout/matrix.h:50
cutlass::gemm::warp::DefaultMmaTensorOp::Policy
cutlass::gemm::warp::MmaTensorOpPolicy< cutlass::arch::Mma< InstructionShape_, 32, ElementA, cutlass::layout::RowMajor, ElementB, cutlass::layout::ColumnMajor, ElementC, cutlass::layout::RowMajor, Operator_ >, cutlass::MatrixShape< 1, 1 > > Policy
Definition: default_mma_tensor_op.h:104
cutlass::arch::Mma
Matrix multiply-add operation.
Definition: arch/mma.h:92
mma_tensor_op.h
Templates implementing warp-level matrix multiply-accumulate operations targeting Tensor Cores...
cutlass.h
Basic include for CUTLASS.