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gemv.h
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29 #pragma once
30
31 #include "cutlass/cutlass.h"
32 #include "cutlass/array.h"
33 #include "cutlass/numeric_types.h"
34 #include "cutlass/matrix_shape.h"
35
36 #include "cutlass/gemm/gemm.h"
37
39
40 namespace cutlass {
41 namespace gemm {
42 namespace threadblock {
43
45
47 template <
48class Core_ //< GemvCore
49 >
51 public:
52using Shape = typename Core_::Shape;
53
55using Operator = typename Core_::Operator;
56
58using IteratorA = typename Core_::IteratorA;
59
61using IteratorB = typename Core_::IteratorB;
62
64using IteratorC = typename Core_::IteratorC;
65
67using FragmentA = typename IteratorA::Fragment;
68
70using FragmentB = typename IteratorB::Fragment;
71
73using FragmentC = typename Operator::FragmentC;
74
76using ThreadShape = typename Core_::ThreadShape;
77
78 public:
79 CUTLASS_DEVICE
81
82 CUTLASS_DEVICE
83void operator()(
84GemmCoord const &problem_size,
85FragmentC &accum,
86IteratorA iterator_A,
87IteratorB iterator_B,
88FragmentC const &src_accum) {
89
90//
91// Prologue
92//
93
94FragmentA frag_A;
95FragmentB frag_B;
96 frag_A.clear();
97 frag_B.clear();
98
99 iterator_A.load(frag_A);
100 iterator_B.load(frag_B);
101 ++iterator_A;
102 ++iterator_B;
103
104//
105// Mainloop
106//
107Operator thread_mma;
108int gemm_k = problem_size.k();
109
110if (gemm_k < Shape::kK)
111 {
112 iterator_A.clear_mask();
113 iterator_B.clear_mask();
114 }
115
116// iterate over K to accumulate result
118for (; gemm_k > 0; gemm_k -= Shape::kK) {
119 thread_mma(accum, frag_A, frag_B, accum);
120
121 iterator_A.load(frag_A);
122 iterator_B.load(frag_B);
123 ++iterator_A;
124 ++iterator_B;
125
126if (gemm_k < Shape::kK)
127 {
128 iterator_A.clear_mask();
129 iterator_B.clear_mask();
130 }
131 }
132
133 }
134 };
135
137
138 } // namespace threadblock
139 } // namespace gemm
140 } // namespace cutlass
Definition: aligned_buffer.h:35
cutlass::gemm::threadblock::Gemv::Gemv
CUTLASS_DEVICE Gemv()
Definition: gemv.h:80
cutlass::gemm::threadblock::Gemv::FragmentB
typename IteratorB::Fragment FragmentB
Fragment of operand B loaded from global memory.
Definition: gemv.h:70
Definition: include/cutlass/gemm/gemm.h:94
Defines common types used for all GEMM-like operators.
cutlass::gemm::threadblock::Gemv::Operator
typename Core_::Operator Operator
The MMA operator that computes GEMV.
Definition: gemv.h:55
CUTLASS_HOST_DEVICE Index const & k() const
Returns the GEMM K coordinate.
Definition: include/cutlass/gemm/gemm.h:145
Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...
cutlass::gemm::threadblock::Gemv
Structure to compute the matrix-vector product using SIMT math instructions.
Definition: gemv.h:50
Defines a Shape template for matrix tiles.
Top-level include for all CUTLASS numeric types.
cutlass::gemm::threadblock::Gemv::ThreadShape
typename Core_::ThreadShape ThreadShape
Shape of the per-thread GEMV operation.
Definition: gemv.h:76
cutlass::gemm::threadblock::Gemv::IteratorA
typename Core_::IteratorA IteratorA
Iterates over A in global memory.
Definition: gemv.h:58
cutlass::gemm::threadblock::Gemv::FragmentC
typename Operator::FragmentC FragmentC
Fragment of operand accumulator loaded/stored to global memory.
Definition: gemv.h:73
cutlass::gemm::threadblock::Gemv::IteratorB
typename Core_::IteratorB IteratorB
Iterates over B in global memory.
Definition: gemv.h:61
#define CUTLASS_GEMM_LOOP
Definition: cutlass.h:112
cutlass::gemm::threadblock::Gemv::FragmentA
typename IteratorA::Fragment FragmentA
Fragment of operand A loaded from global memory.
Definition: gemv.h:67
cutlass::gemm::threadblock::Gemv::operator()
CUTLASS_DEVICE void operator()(GemmCoord const &problem_size, FragmentC &accum, IteratorA iterator_A, IteratorB iterator_B, FragmentC const &src_accum)
Definition: gemv.h:83
Basic include for CUTLASS.
cutlass::gemm::threadblock::Gemv::Shape
typename Core_::Shape Shape
Definition: gemv.h:52
cutlass::gemm::threadblock::Gemv::IteratorC
typename Core_::IteratorC IteratorC
Fragment of operand C loaded from global memory.
Definition: gemv.h:64
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