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kernel/gemm_batched.h
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29 #pragma once
30
31 #include "cutlass/cutlass.h"
32
33 #include "cutlass/gemm/gemm.h"
34 #include "cutlass/matrix_coord.h"
35
37
38 namespace cutlass {
39 namespace gemm {
40 namespace kernel {
41
43
44 template <
45 typename Mma_,
46 typename Epilogue_,
47 typename ThreadblockSwizzle_
48 >
49 struct GemmBatched {
50
51 using Mma = Mma_;
52 using Epilogue = Epilogue_;
53 using OutputOp = typename Epilogue::OutputOp;
54 using ThreadblockSwizzle = ThreadblockSwizzle_;
55
57 using WarpCount = typename Mma::WarpCount;
58 static int const kThreadCount = 32 * WarpCount::kCount;
59
61 struct Params {
62 cutlass::gemm::GemmCoord problem_size;
63 cutlass::gemm::GemmCoord grid_tiled_shape;
64 typename Mma::IteratorA::Params params_A;
65 typename Mma::IteratorA::TensorRef ref_A;
66 int64_t stride_A;
67 typename Mma::IteratorB::Params params_B;
68 typename Mma::IteratorB::TensorRef ref_B;
69 int64_t stride_B;
70 typename Epilogue::OutputTileIterator::Params params_C;
71 typename Epilogue::OutputTileIterator::TensorRef ref_C;
72 int64_t stride_C;
73 typename Epilogue::OutputTileIterator::Params params_D;
74 typename Epilogue::OutputTileIterator::TensorRef ref_D;
75 int64_t stride_D;
76 typename OutputOp::Params epilogue;
77 int batch_count;
78 int gemm_k_iterations;
79
80 //
81 // Methods
82 //
83
84 CUTLASS_HOST_DEVICE
85 Params() { }
86
87 CUTLASS_HOST_DEVICE
88 Params(
89 cutlass::gemm::GemmCoord const & problem_size_,
90 cutlass::gemm::GemmCoord const & grid_tiled_shape_,
91 typename Mma::IteratorA::TensorRef ref_A_,
92 int64_t stride_A_,
93 typename Mma::IteratorB::TensorRef ref_B_,
94 int64_t stride_B_,
95 typename Epilogue::OutputTileIterator::TensorRef ref_C_,
96 int64_t stride_C_,
97 typename Epilogue::OutputTileIterator::TensorRef ref_D_,
98 int64_t stride_D_,
99 typename OutputOp::Params epilogue_,
100 int batch_count_
101 ):
102 problem_size(problem_size_),
103 grid_tiled_shape(grid_tiled_shape_),
104 params_A(ref_A_.layout()),
105 ref_A(ref_A_),
106 stride_A(stride_A_),
107 params_B(ref_B_.layout()),
108 ref_B(ref_B_),
109 stride_B(stride_B_),
110 params_C(ref_C_.layout()),
111 ref_C(ref_C_),
112 stride_C(stride_C_),
113 params_D(ref_D_.layout()),
114 ref_D(ref_D_),
115 stride_D(stride_D_),
116 epilogue(epilogue_),
117 batch_count(batch_count_),
118 gemm_k_iterations((problem_size.k() + Mma::Shape::kK - 1) / Mma::Shape::kK) {
119
120 }
121 };
122
124 union SharedStorage {
125 typename Mma::SharedStorage main_loop;
126 typename Epilogue::SharedStorage epilogue;
127 };
128
129 //
130 // Methods
131 //
132
133 CUTLASS_HOST_DEVICE
134 GemmBatched() { }
135
137 CUTLASS_DEVICE
138 void operator()(Params const &params, SharedStorage &shared_storage) {
139
140 // Compute threadblock location
141 ThreadblockSwizzle threadblock_swizzle;
142
143 cutlass::gemm::GemmCoord threadblock_tile_offset = threadblock_swizzle.get_tile_offset();
144
145 // Early exit if CTA is out of range
146 if (params.grid_tiled_shape.m() <= threadblock_tile_offset.m() ||
147 params.grid_tiled_shape.n() <= threadblock_tile_offset.n()) {
148
149 return;
150 }
151
152
153 // Each CTA handles multiple batch indices to accommodate limited range of CUDA grid's Z dimension
154 for (int batch_idx = threadblock_swizzle.get_batch_idx();
155 batch_idx < params.batch_count;
156 batch_idx += gridDim.z) {
157
158 // Compute initial location in logical coordinates
159 cutlass::MatrixCoord tb_offset_A{
160 threadblock_tile_offset.m() * Mma::Shape::kM,
161 0
162 };
163
164 cutlass::MatrixCoord tb_offset_B{
165 0,
166 threadblock_tile_offset.n() * Mma::Shape::kN
167 };
168
169 // Compute position within threadblock
170 int thread_idx = threadIdx.x;
171
172 // Construct iterators to A and B operands
173 typename Mma::IteratorA iterator_A(
174 params.params_A,
175 params.ref_A.data(),
176 params.problem_size.mk(),
177 thread_idx,
178 tb_offset_A);
179
180 iterator_A.add_pointer_offset(params.stride_A * batch_idx);
181
182 typename Mma::IteratorB iterator_B(
183 params.params_B,
184 params.ref_B.data(),
185 params.problem_size.kn(),
186 thread_idx,
187 tb_offset_B);
188
189 iterator_B.add_pointer_offset(params.stride_B * batch_idx);
190
191
192 //
193 // Main loop
194 //
195
196 // Construct thread-scoped matrix multiply
197 int warp_idx = threadIdx.x / 32;
198 int lane_idx = threadIdx.x % 32;
199
200 Mma mma(shared_storage.main_loop, thread_idx, warp_idx, lane_idx);
201
202 typename Mma::FragmentC accumulators;
203
204 accumulators.clear();
205
206
207 // Compute threadblock-scoped matrix multiply-add
208 mma(params.gemm_k_iterations, accumulators, iterator_A, iterator_B, accumulators);
209
210 //
211 // Epilogue
212 //
213
214 OutputOp output_op(params.epilogue);
215
216 //
217 // Masked tile iterators constructed from members
218 //
219
220 threadblock_tile_offset = threadblock_swizzle.get_tile_offset();
221
222 //assume identity swizzle
223 MatrixCoord threadblock_offset(
224 threadblock_tile_offset.m() * Mma::Shape::kM,
225 threadblock_tile_offset.n() * Mma::Shape::kN
226 );
227
228 // Tile iterator writing to output tile
229 typename Epilogue::OutputTileIterator iterator_C(
230 params.params_C,
231 params.ref_C.data(),
232 params.problem_size.mn(),
233 thread_idx,
234 threadblock_offset
235 );
236
237 iterator_C.add_pointer_offset(params.stride_C * batch_idx);
238
239 // Tile iterator writing to output tile
240 typename Epilogue::OutputTileIterator iterator_D(
241 params.params_D,
242 params.ref_D.data(),
243 params.problem_size.mn(),
244 thread_idx,
245 threadblock_offset
246 );
247
248 iterator_D.add_pointer_offset(params.stride_D * batch_idx);
249
250 Epilogue epilogue(
251 shared_storage.epilogue,
252 thread_idx,
253 warp_idx,
254 lane_idx);
255
256 // run efficient epilogue
257 epilogue(output_op, iterator_D, accumulators, iterator_C);
258 }
259 }
260 };
261
263
264 } // namespace kernel
265 } // namespace gemm
266 } // namespace cutlass
267
cutlass::gemm::kernel::GemmBatched::operator()
CUTLASS_DEVICE void operator()(Params const &params, SharedStorage &shared_storage)
Executes one GEMM.
Definition: kernel/gemm_batched.h:138
cutlass
Definition: aligned_buffer.h:35
cutlass::gemm::kernel::GemmBatched::Params::Params
CUTLASS_HOST_DEVICE Params()
Definition: kernel/gemm_batched.h:85
cutlass::gemm::kernel::GemmBatched::OutputOp
typename Epilogue::OutputOp OutputOp
Definition: kernel/gemm_batched.h:53
cutlass::gemm::kernel::GemmBatched::Params::ref_D
Epilogue::OutputTileIterator::TensorRef ref_D
Definition: kernel/gemm_batched.h:74
cutlass::gemm::GemmCoord
Definition: include/cutlass/gemm/gemm.h:94
cutlass::gemm::GemmCoord::mn
CUTLASS_HOST_DEVICE Coord< 2 > mn() const
Obtains a Coord<2> from GemmCoord.
Definition: include/cutlass/gemm/gemm.h:171
gemm.h
Defines common types used for all GEMM-like operators.
cutlass::gemm::kernel::GemmBatched::Params::ref_B
Mma::IteratorB::TensorRef ref_B
Definition: kernel/gemm_batched.h:68
cutlass::gemm::GemmCoord::n
CUTLASS_HOST_DEVICE Index const & n() const
Returns the GEMM N coordinate.
Definition: include/cutlass/gemm/gemm.h:137
cutlass::gemm::kernel::GemmBatched::Params::gemm_k_iterations
int gemm_k_iterations
Definition: kernel/gemm_batched.h:78
cutlass::gemm::kernel::GemmBatched::Params::ref_C
Epilogue::OutputTileIterator::TensorRef ref_C
Definition: kernel/gemm_batched.h:71
cutlass::gemm::kernel::GemmBatched::GemmBatched
CUTLASS_HOST_DEVICE GemmBatched()
Definition: kernel/gemm_batched.h:134
cutlass::gemm::kernel::GemmBatched::Epilogue
Epilogue_ Epilogue
Definition: kernel/gemm_batched.h:52
cutlass::gemm::kernel::GemmBatched::SharedStorage
Shared memory storage structure.
Definition: kernel/gemm_batched.h:124
cutlass::gemm::kernel::GemmBatched::Params::grid_tiled_shape
cutlass::gemm::GemmCoord grid_tiled_shape
Definition: kernel/gemm_batched.h:63
cutlass::gemm::kernel::GemmBatched::SharedStorage::main_loop
Mma::SharedStorage main_loop
Definition: kernel/gemm_batched.h:125
cutlass::gemm::kernel::GemmBatched::kThreadCount
static int const kThreadCount
Definition: kernel/gemm_batched.h:58
cutlass::gemm::kernel::GemmBatched::Params
Parameters structure.
Definition: kernel/gemm_batched.h:61
cutlass::gemm::kernel::GemmBatched::WarpCount
typename Mma::WarpCount WarpCount
Warp count (concept: GemmShape)
Definition: kernel/gemm_batched.h:57
cutlass::gemm::kernel::GemmBatched::Params::params_D
Epilogue::OutputTileIterator::Params params_D
Definition: kernel/gemm_batched.h:73
cutlass::gemm::kernel::GemmBatched::Params::params_C
Epilogue::OutputTileIterator::Params params_C
Definition: kernel/gemm_batched.h:70
cutlass::gemm::kernel::GemmBatched::Params::epilogue
OutputOp::Params epilogue
Definition: kernel/gemm_batched.h:76
CUTLASS_HOST_DEVICE
#define CUTLASS_HOST_DEVICE
Definition: cutlass.h:89
cutlass::gemm::kernel::GemmBatched::Params::stride_C
int64_t stride_C
Definition: kernel/gemm_batched.h:72
cutlass::gemm::GemmCoord::mk
CUTLASS_HOST_DEVICE Coord< 2 > mk() const
Obtains a Coord<2> from GemmCoord.
Definition: include/cutlass/gemm/gemm.h:177
cutlass::gemm::kernel::GemmBatched::Mma
Mma_ Mma
Definition: kernel/gemm_batched.h:51
cutlass::gemm::kernel::GemmBatched::Params::problem_size
cutlass::gemm::GemmCoord problem_size
Definition: kernel/gemm_batched.h:62
cutlass::gemm::kernel::GemmBatched::Params::params_A
Mma::IteratorA::Params params_A
Definition: kernel/gemm_batched.h:64
matrix_coord.h
Defines a canonical coordinate for rank=2 matrices offering named indices.
cutlass::gemm::kernel::GemmBatched::Params::batch_count
int batch_count
Definition: kernel/gemm_batched.h:77
cutlass::gemm::kernel::GemmBatched::Params::params_B
Mma::IteratorB::Params params_B
Definition: kernel/gemm_batched.h:67
cutlass::gemm::GemmCoord::kn
CUTLASS_HOST_DEVICE Coord< 2 > kn() const
Obtains a Coord<2> from GemmCoord.
Definition: include/cutlass/gemm/gemm.h:195
cutlass::gemm::kernel::GemmBatched::Params::stride_B
int64_t stride_B
Definition: kernel/gemm_batched.h:69
cutlass::gemm::GemmCoord::m
CUTLASS_HOST_DEVICE Index const & m() const
Returns the GEMM M coordinate.
Definition: include/cutlass/gemm/gemm.h:129
cutlass::gemm::kernel::GemmBatched::Params::ref_A
Mma::IteratorA::TensorRef ref_A
Definition: kernel/gemm_batched.h:65
cutlass::gemm::kernel::GemmBatched::Params::Params
CUTLASS_HOST_DEVICE Params(cutlass::gemm::GemmCoord const &problem_size_, cutlass::gemm::GemmCoord const &grid_tiled_shape_, typename Mma::IteratorA::TensorRef ref_A_, int64_t stride_A_, typename Mma::IteratorB::TensorRef ref_B_, int64_t stride_B_, typename Epilogue::OutputTileIterator::TensorRef ref_C_, int64_t stride_C_, typename Epilogue::OutputTileIterator::TensorRef ref_D_, int64_t stride_D_, typename OutputOp::Params epilogue_, int batch_count_)
Definition: kernel/gemm_batched.h:88
cutlass::gemm::kernel::GemmBatched::Params::stride_A
int64_t stride_A
Definition: kernel/gemm_batched.h:66
cutlass::gemm::kernel::GemmBatched
Definition: kernel/gemm_batched.h:49
cutlass::gemm::kernel::GemmBatched::SharedStorage::epilogue
Epilogue::SharedStorage epilogue
Definition: kernel/gemm_batched.h:126
cutlass::gemm::kernel::GemmBatched::Params::stride_D
int64_t stride_D
Definition: kernel/gemm_batched.h:75
cutlass::gemm::kernel::GemmBatched::ThreadblockSwizzle
ThreadblockSwizzle_ ThreadblockSwizzle
Definition: kernel/gemm_batched.h:54
cutlass.h
Basic include for CUTLASS.
cutlass::MatrixCoord
Definition: matrix_coord.h:39