| CUTLASS CUDA Templates for Linear Algebra Subroutines and Solvers

- Main Page
- Modules
- Namespaces
- Classes
- Files

- File List
- File Members

tile_iterator_wmma_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 #if !defined(__clang__)
32
33 #include "cutlass/cutlass.h"
34 #include "cutlass/wmma_array.h"
35 #include "cutlass/layout/matrix.h"
36 #include "cutlass/layout/pitch_linear.h"
37 #include "cutlass/tensor_ref.h"
38
39 #include "cutlass/epilogue/warp/wmma_tensor_op_policy.h"
40
42
43 namespace cutlass {
44 namespace epilogue {
45 namespace warp {
46
48
50 template <
51 typename WarpShape,
52 typename OperatorShape,
53 typename OperatorFragment,
54 typename Layout
55 >
56 class TileIteratorWmmaTensorOp;
57
59
61 template <
62 typename WarpShape_,
63 typename OperatorShape_,
64 typename OperatorFragment_
65 >
66 class TileIteratorWmmaTensorOp<WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor> {
67 public:
68
69 using WarpShape = WarpShape_;
70 using OperatorShape = OperatorShape_;
71 using OperatorFragment = OperatorFragment_;
72 using Layout = layout::RowMajor;
73
74 //
75 // Derived types
76 //
77 using WmmaDataType = typename OperatorFragment::element_type;
78 using Element = typename cutlass::arch::WmmaToCutlassDataType<WmmaDataType>::Type;
79 using TensorRef = TensorRef<Element, Layout>;
80 using TensorCoord = MatrixCoord;
81 using Index = typename TensorRef::Index;
82 using LongIndex = typename TensorRef::LongIndex;
83
84 using Policy = WmmaTensorOpPolicy<WarpShape, OperatorShape, Layout>;
85
87 using Shape = MatrixShape<
88 Policy::kRowsPerIteration,
89 WarpShape::kN
90 >;
91
93 using Fragment = WmmaFragmentArray<OperatorFragment, Policy::OperatorCount::kColumn * Policy::kWmmaFragmentsPerAccess>;
94
95
97 //using AccumulatorTile = typename Operator::FragmentC;
98
99
101 // (Epilogue shared memory padding for WMMA Gemm kernel is set to run optimaly on Turing)
102 using Padding = MatrixShape<
103 0,
104 4 * Policy::kElementsPerAccess
105 >;
106
107 private:
108
110 //using AccessType = AlignedArray<Element, Policy::kElementsPerAccess>;
111
112 //
113 // Data members
114 //
115
117 TensorRef ref_;
118
119
120 public:
121
123 CUTLASS_HOST_DEVICE
124 TileIteratorWmmaTensorOp(): ref_(nullptr) {
125
126 }
127
129 CUTLASS_HOST_DEVICE
130 TileIteratorWmmaTensorOp(
131 TensorRef const &ref,
132 unsigned lane_id
133 ): ref_(ref) {
134 }
135
137 CUTLASS_HOST_DEVICE
138 TileIteratorWmmaTensorOp & add_pointer_offset(Index pointer_offset) {
139 ref_.add_pointer_offset(pointer_offset);
140 return *this;
141 }
142
144 CUTLASS_HOST_DEVICE
145 TileIteratorWmmaTensorOp & add_tile_offset(TensorCoord const &tile_offset) {
146 ref_.add_coord_offset({tile_offset.row() * OperatorShape::kM, tile_offset.column() * WarpShape::kN});
147 return *this;
148 }
149
151 CUTLASS_HOST_DEVICE
152 TileIteratorWmmaTensorOp & operator+=(TensorCoord const &tile_offset) {
153 add_tile_offset(tile_offset);
154 return *this;
155 }
156
158 CUTLASS_HOST_DEVICE
159 void store_with_pointer_offset(Fragment const &frag, Index pointer_offset) {
160
161 for(int n=0; n < Policy::OperatorCount::kColumn; n++) {
162
163 WmmaDataType* ptr = reinterpret_cast<WmmaDataType*> (ref_.data() + ref_.offset({0, n * OperatorShape::kN}) + pointer_offset);
164
165 nvcuda::wmma::store_matrix_sync(
166 ptr,
167 frag[n],
168 ref_.stride()[0],
169 nvcuda::wmma::layout_t::mem_row_major
170 );
171
172 }
173 }
174
176 CUTLASS_HOST_DEVICE
177 void store(Fragment const &frag) {
178 store_with_pointer_offset(frag, 0);
179 }
180
182 CUTLASS_HOST_DEVICE
183 void load_with_pointer_offset(Fragment &frag, Index pointer_offset) const {
184
185 for(int n=0; n < Policy::OperatorCount::kColumn; n++) {
186
187 WmmaDataType* ptr = reinterpret_cast<WmmaDataType*> (ref_.data() + ref_.offset({0, n * OperatorShape::kN}) + pointer_offset);
188
189 nvcuda::wmma::load_matrix_sync(
190 frag[n],
191 ptr,
192 ref_.stride()[0],
193 nvcuda::wmma::layout_t::mem_row_major
194 );
195
196 }
197 }
198
200 CUTLASS_HOST_DEVICE
201 void load(Fragment &frag) const {
202 load_with_pointer_offset(frag, 0);
203 }
204 };
205
207
208 } // namespace warp
209 } // namespace epilogue
210 } // namespace cutlass
211
213
214 #endif // !defined(__clang__)
215
cutlass::MatrixShape
Describes the size of a matrix tile.
Definition: matrix_shape.h:42
cutlass::MatrixCoord::column
CUTLASS_HOST_DEVICE Index const & column() const
Returns the column of the coordinate.
Definition: matrix_coord.h:85
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::add_pointer_offset
CUTLASS_HOST_DEVICE TileIteratorWmmaTensorOp & add_pointer_offset(Index pointer_offset)
Adds a pointer offset.
Definition: tile_iterator_wmma_tensor_op.h:138
wmma_array.h
Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::add_tile_offset
CUTLASS_HOST_DEVICE TileIteratorWmmaTensorOp & add_tile_offset(TensorCoord const &tile_offset)
advances in units of whole tiles along the logical coordinate space of the tensor ...
Definition: tile_iterator_wmma_tensor_op.h:145
cutlass
Definition: aligned_buffer.h:35
tensor_ref.h
Defines a structure containing strides, bounds, and a pointer to tensor data.
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::TileIteratorWmmaTensorOp
CUTLASS_HOST_DEVICE TileIteratorWmmaTensorOp()
Default constructor.
Definition: tile_iterator_wmma_tensor_op.h:124
cutlass::TensorRef::data
CUTLASS_HOST_DEVICE Element * data() const
Returns the pointer to referenced data.
Definition: tensor_ref.h:254
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::Policy
WmmaTensorOpPolicy< WarpShape, OperatorShape, Layout > Policy
Definition: tile_iterator_wmma_tensor_op.h:84
cutlass::MatrixCoord::row
CUTLASS_HOST_DEVICE Index const & row() const
Returns the row of the coordinate.
Definition: matrix_coord.h:77
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::Index
typename TensorRef::Index Index
Definition: tile_iterator_wmma_tensor_op.h:81
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::operator+=
CUTLASS_HOST_DEVICE TileIteratorWmmaTensorOp & operator+=(TensorCoord const &tile_offset)
Definition: tile_iterator_wmma_tensor_op.h:152
cutlass::TensorRef::add_coord_offset
CUTLASS_HOST_DEVICE TensorRef & add_coord_offset(TensorCoord const &coord)
Adds an offset to each pointer.
Definition: tensor_ref.h:326
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::WmmaDataType
typename OperatorFragment::element_type WmmaDataType
Definition: tile_iterator_wmma_tensor_op.h:77
cutlass::TensorRef::stride
CUTLASS_HOST_DEVICE Stride stride() const
Returns the layout object&#39;s stride vector.
Definition: tensor_ref.h:277
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::load
CUTLASS_HOST_DEVICE void load(Fragment &frag) const
Load.
Definition: tile_iterator_wmma_tensor_op.h:201
nullptr
#define nullptr
nullptr
Definition: platform.h:144
cutlass::TensorRef< Element, Layout >
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::store_with_pointer_offset
CUTLASS_HOST_DEVICE void store_with_pointer_offset(Fragment const &frag, Index pointer_offset)
Store.
Definition: tile_iterator_wmma_tensor_op.h:159
CUTLASS_HOST_DEVICE
#define CUTLASS_HOST_DEVICE
Definition: cutlass.h:89
cutlass::TensorRef::offset
CUTLASS_HOST_DEVICE LongIndex offset(TensorCoord const &coord) const
Computes the offset of an index from the origin of the tensor.
Definition: tensor_ref.h:301
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::TileIteratorWmmaTensorOp
CUTLASS_HOST_DEVICE TileIteratorWmmaTensorOp(TensorRef const &ref, unsigned lane_id)
Constructor from TensorRef.
Definition: tile_iterator_wmma_tensor_op.h:130
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::WarpShape
WarpShape_ WarpShape
Definition: tile_iterator_wmma_tensor_op.h:69
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::load_with_pointer_offset
CUTLASS_HOST_DEVICE void load_with_pointer_offset(Fragment &frag, Index pointer_offset) const
Load.
Definition: tile_iterator_wmma_tensor_op.h:183
cutlass::TensorRef::Index
typename Layout::Index Index
Index type.
Definition: tensor_ref.h:165
cutlass::layout::RowMajor
Mapping function for row-major matrices.
Definition: layout/matrix.h:50
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::LongIndex
typename TensorRef::LongIndex LongIndex
Definition: tile_iterator_wmma_tensor_op.h:82
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::Fragment
WmmaFragmentArray< OperatorFragment, Policy::OperatorCount::kColumn *Policy::kWmmaFragmentsPerAccess > Fragment
This is the fragment size produced by one access of the iterator.
Definition: tile_iterator_wmma_tensor_op.h:93
wmma_tensor_op_policy.h
Defines basic structures needed for implementing the warp-scoped phase of the epilogue. These quantities assume a &#39;column-major&#39; arrangement of TensorOp instructions, of which a row-oriented slice is visible per iteration.
matrix.h
Defines layout functions used by TensorRef and derived classes.
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::Element
typename cutlass::arch::WmmaToCutlassDataType< WmmaDataType >::Type Element
Data Type of element stored in nvcuda::wmma::frament.
Definition: tile_iterator_wmma_tensor_op.h:78
pitch_linear.h
Defines layout functions used by TensorRef and derived classes for pitch-linear memory.
cutlass::TensorRef::add_pointer_offset
CUTLASS_HOST_DEVICE TensorRef & add_pointer_offset(LongIndex offset_)
Adds an offset to each pointer.
Definition: tensor_ref.h:319
cutlass::epilogue::warp::TileIteratorWmmaTensorOp
Template for reading and writing tiles of accumulators to shared memory.
Definition: tile_iterator_wmma_tensor_op.h:56
cutlass::epilogue::warp::TileIteratorWmmaTensorOp< WarpShape_, OperatorShape_, OperatorFragment_, layout::RowMajor >::store
CUTLASS_HOST_DEVICE void store(Fragment const &frag)
Store.
Definition: tile_iterator_wmma_tensor_op.h:177
cutlass.h
Basic include for CUTLASS.
cutlass::MatrixCoord
Definition: matrix_coord.h:39
cutlass::TensorRef::LongIndex
typename Layout::LongIndex LongIndex
Long index used for pointer offsets.
Definition: tensor_ref.h:168