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device/kernel/tensor_foreach.h
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25
26 #pragma once
27
28 #include "cutlass/cutlass.h"
29 #include "cutlass/coord.h"
30
31 namespace cutlass {
32 namespace reference {
33 namespace device {
34 namespace kernel {
35
37
39 namespace detail {
40
42 template <typename Func, int Rank, int RankRemaining>
43 struct TensorForEachHelper {
44
46 __inline__ __device__
47TensorForEachHelper(Func &func, Coord<Rank> const &size, Coord<Rank> &coord, int64_t index) {
48
49 int64_t product = 1;
50
52for (int i = Rank - RankRemaining; i < Rank; ++i) {
53 product *= size[i];
54 }
55
56 coord[Rank - 1 - RankRemaining] = index / product;
57 int64_t remaining = index % product;
58
59TensorForEachHelper<Func, Rank, RankRemaining-1>(func, size, coord, remaining);
60 }
61 };
62
64 template <typename Func, int Rank>
65 struct TensorForEachHelper<Func, Rank, 0> {
66
68 __inline__ __device__
69TensorForEachHelper(Func &func, Coord<Rank> const &size, Coord<Rank> &coord, int64_t index) {
70
71 coord[Rank - 1] = index;
72
73if (coord < size) {
74 func(coord);
75 }
76 }
77 };
78
79 } // namespace detail
80
82
84 template <typename Func, int Rank, typename Params>
85 __global__ void TensorForEach(Coord<Rank> size, Params params = Params()) {
86
87 Func func(params);
88
89 int64_t index = threadIdx.x + blockIdx.x * blockDim.x;
90 int64_t max_index = 1;
91
93for (int i = 0; i < Rank; ++i) {
94 max_index *= size[i];
95 }
96
98while (index < max_index) {
99Coord<Rank> coord;
100
101detail::TensorForEachHelper<Func, Rank, Rank - 1>(func, size, coord, index);
102 index += blockDim.x * gridDim.x;
103 }
104 }
105
107
109 template <typename Func, int Rank, typename Params>
110 __global__ void TensorDiagonalForEach(Coord<Rank> size, Params params, int start, int end) {
111
112 Func func(params);
113
114 int64_t index = threadIdx.x + blockIdx.x * blockDim.x + start;
115
116if (index < end) {
117Coord<Rank> coord;
118
120for (int i = 0; i < Rank; ++i) {
121 coord[i] = index;
122 }
123
124 func(coord);
125 }
126 }
127
129
130 template <typename Element, typename Func>
131 __global__ void BlockForEach(
132 Element *ptr,
133size_t capacity,
134typename Func::Params params) {
135
136 Func func(params);
137
138size_t index = threadIdx.x + blockIdx.x * blockDim.x;
139
140for (; index < capacity; index += blockDim.x * gridDim.x) {
141 ptr[index] = func();
142 }
143 }
144
146
147 } // namespace kernel
148 } // namespace device
149 } // namespace reference
150 } // namespace cutlass
151
Definition: aligned_buffer.h:35
A Coord is a coordinate of arbitrary rank into a tensor or matrix.
__inline__ __device__ TensorForEachHelper(Func &func, Coord< Rank > const &size, Coord< Rank > &coord, int64_t index)
Constructor for fastest changing rank.
Definition: device/kernel/tensor_foreach.h:69
#define CUTLASS_PRAGMA_UNROLL
Definition: cutlass.h:110
cutlass::reference::device::kernel::BlockForEach
__global__ void BlockForEach(Element *ptr, size_t capacity, typename Func::Params params)
Definition: device/kernel/tensor_foreach.h:131
#define CUTLASS_PRAGMA_NO_UNROLL
Definition: cutlass.h:111
Statically-sized array specifying Coords within a tensor.
Definition: coord.h:43
cutlass::reference::device::kernel::detail::TensorForEachHelper::TensorForEachHelper
__inline__ __device__ TensorForEachHelper(Func &func, Coord< Rank > const &size, Coord< Rank > &coord, int64_t index)
Constructor for general rank.
Definition: device/kernel/tensor_foreach.h:47
cutlass::reference::device::kernel::TensorDiagonalForEach
__global__ void TensorDiagonalForEach(Coord< Rank > size, Params params, int start, int end)
Kernel calls a functor for each element along a tensor's diagonal.
Definition: device/kernel/tensor_foreach.h:110
cutlass::reference::device::kernel::TensorForEach
__global__ void TensorForEach(Coord< Rank > size, Params params=Params())
Kernel calls a functor for each element in a tensor's index space.
Definition: device/kernel/tensor_foreach.h:85
cutlass::reference::device::kernel::detail::TensorForEachHelper
Helper to perform for-each operation.
Definition: device/kernel/tensor_foreach.h:43
Basic include for CUTLASS.
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