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Transpose.cuh
1 /**
2 * Copyright (c) 2015-present, Facebook, Inc.
3 * All rights reserved.
4 *
5 * This source code is licensed under the BSD+Patents license found in the
6 * LICENSE file in the root directory of this source tree.
7 */
8
9 // Copyright 2004-present Facebook. All Rights Reserved.
10
11 #pragma once
12
13 #include "../../FaissAssert.h"
14 #include "Tensor.cuh"
15 #include "DeviceUtils.h"
16 #include <cuda.h>
17
18 #include <stdio.h>
19
20 namespace faiss { namespace gpu {
21
22 template <typename T>
23 struct TensorInfo {
24 static constexpr int kMaxDims = 8;
25
26 T* data;
27 int sizes[kMaxDims];
28 int strides[kMaxDims];
29 int dims;
30 };
31
32 template <typename T, int Dim>
33 struct TensorInfoOffset {
34 __device__ inline static unsigned int get(const TensorInfo<T>& info,
35 unsigned int linearId) {
36 unsigned int offset = 0;
37
38 #pragma unroll
39 for (int i = Dim - 1; i >= 0; --i) {
40 unsigned int curDimIndex = linearId % info.sizes[i];
41 unsigned int curDimOffset = curDimIndex * info.strides[i];
42
43 offset += curDimOffset;
44
45 if (i > 0) {
46 linearId /= info.sizes[i];
47 }
48 }
49
50 return offset;
51 }
52 };
53
54 template <typename T>
55 struct TensorInfoOffset<T, -1> {
56 __device__ inline static unsigned int get(const TensorInfo<T>& info,
57 unsigned int linearId) {
58 return linearId;
59 }
60 };
61
62 template <typename T, int Dim>
63 TensorInfo<T> getTensorInfo(const Tensor<T, Dim, true>& t) {
64 TensorInfo<T> info;
65
66 for (int i = 0; i < Dim; ++i) {
67 info.sizes[i] = t.getSize(i);
68 info.strides[i] = t.getStride(i);
69 }
70
71 info.data = t.data();
72 info.dims = Dim;
73
74 return info;
75 }
76
77 template <typename T, int DimInput, int DimOutput>
78 __global__ void transposeAny(TensorInfo<T> input,
79 TensorInfo<T> output,
80 unsigned int totalSize) {
81 auto linearThreadId = blockIdx.x * blockDim.x + threadIdx.x;
82
83 if (linearThreadId >= totalSize) {
84 return;
85 }
86
87 auto inputOffset =
88 TensorInfoOffset<T, DimInput>::get(input, linearThreadId);
89 auto outputOffset =
90 TensorInfoOffset<T, DimOutput>::get(output, linearThreadId);
91
92 #if __CUDA_ARCH__ >= 350
93 output.data[outputOffset] = __ldg(&input.data[inputOffset]);
94 #else
95 output.data[outputOffset] = input.data[inputOffset];
96 #endif
97 }
98
99 /// Performs an out-of-place transposition between any two dimensions.
100 /// Best performance is if the transposed dimensions are not
101 /// innermost, since the reads and writes will be coalesced.
102 /// Could include a shared memory transposition if the dimensions
103 /// being transposed are innermost, but would require support for
104 /// arbitrary rectangular matrices.
105 /// This linearized implementation seems to perform well enough,
106 /// especially for cases that we care about (outer dimension
107 /// transpositions).
108 template <typename T, int Dim>
109 void runTransposeAny(Tensor<T, Dim, true>& in,
110 int dim1, int dim2,
111 Tensor<T, Dim, true>& out,
112 cudaStream_t stream) {
113 static_assert(Dim <= TensorInfo<T>::kMaxDims, "too many dimensions");
114
115 FAISS_ASSERT(dim1 != dim2);
116 FAISS_ASSERT(dim1 < Dim && dim2 < Dim);
117
118 int outSize[Dim];
119
120 for (int i = 0; i < Dim; ++i) {
121 outSize[i] = in.getSize(i);
122 }
123
124 std::swap(outSize[dim1], outSize[dim2]);
125
126 for (int i = 0; i < Dim; ++i) {
127 FAISS_ASSERT(out.getSize(i) == outSize[i]);
128 }
129
130 auto inInfo = getTensorInfo<T, Dim>(in);
131 auto outInfo = getTensorInfo<T, Dim>(out);
132
133 std::swap(inInfo.sizes[dim1], inInfo.sizes[dim2]);
134 std::swap(inInfo.strides[dim1], inInfo.strides[dim2]);
135
136 int totalSize = in.numElements();
137
138 int numThreads = std::min(getMaxThreadsCurrentDevice(), totalSize);
139 auto grid = dim3(utils::divUp(totalSize, numThreads));
140 auto block = dim3(numThreads);
141
142 transposeAny<T, Dim, -1><<<grid, block, 0, stream>>>(
143 inInfo, outInfo, totalSize);
144 CUDA_TEST_ERROR();
145 }
146
147 } } // namespace
faiss::gpu::Tensor::data
__host__ __device__ DataPtrType data()
Returns a raw pointer to the start of our data.
Definition: Tensor.cuh:173
faiss::gpu::TensorInfo
Definition: Transpose.cuh:23
faiss::gpu::Tensor::getStride
__host__ __device__ IndexT getStride(int i) const
Definition: Tensor.cuh:227
faiss::gpu::Tensor
Our tensor type.
Definition: Tensor.cuh:30
faiss::gpu::Tensor::getSize
__host__ __device__ IndexT getSize(int i) const
Definition: Tensor.cuh:221
faiss::gpu::TensorInfoOffset
Definition: Transpose.cuh:33