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WarpShuffles.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 <cuda.h>
14 #include "DeviceDefs.cuh"
15 #include "Float16.cuh"
16
17 namespace faiss { namespace gpu {
18
19 template <typename T>
20 inline __device__ T shfl(const T val,
21 int srcLane, int width = kWarpSize) {
22 return __shfl(val, srcLane, width);
23 }
24
25 // CUDA SDK does not provide specializations for T*
26 template <typename T>
27 inline __device__ T* shfl(T* const val,
28 int srcLane, int width = kWarpSize) {
29 static_assert(sizeof(T*) == sizeof(long long), "pointer size");
30 long long v = (long long) val;
31 return (T*) __shfl(v, srcLane, width);
32 }
33
34 template <typename T>
35 inline __device__ T shfl_up(const T val,
36 unsigned int delta, int width = kWarpSize) {
37 return __shfl_up(val, delta, width);
38 }
39
40 // CUDA SDK does not provide specializations for T*
41 template <typename T>
42 inline __device__ T* shfl_up(T* const val,
43 unsigned int delta, int width = kWarpSize) {
44 static_assert(sizeof(T*) == sizeof(long long), "pointer size");
45 long long v = (long long) val;
46 return (T*) __shfl_up(v, delta, width);
47 }
48
49 template <typename T>
50 inline __device__ T shfl_down(const T val,
51 unsigned int delta, int width = kWarpSize) {
52 return __shfl_down(val, delta, width);
53 }
54
55 // CUDA SDK does not provide specializations for T*
56 template <typename T>
57 inline __device__ T* shfl_down(T* const val,
58 unsigned int delta, int width = kWarpSize) {
59 static_assert(sizeof(T*) == sizeof(long long), "pointer size");
60 long long v = (long long) val;
61 return (T*) __shfl_down(v, delta, width);
62 }
63
64 template <typename T>
65 inline __device__ T shfl_xor(const T val,
66 int laneMask, int width = kWarpSize) {
67 return __shfl_xor(val, laneMask, width);
68 }
69
70 // CUDA SDK does not provide specializations for T*
71 template <typename T>
72 inline __device__ T* shfl_xor(T* const val,
73 int laneMask, int width = kWarpSize) {
74 static_assert(sizeof(T*) == sizeof(long long), "pointer size");
75 long long v = (long long) val;
76 return (T*) __shfl_xor(v, laneMask, width);
77 }
78
79 #ifdef FAISS_USE_FLOAT16
80 inline __device__ half shfl(half v,
81 int srcLane, int width = kWarpSize) {
82 unsigned int vu = v.x;
83 vu = __shfl(vu, srcLane, width);
84
85 half h;
86 h.x = (unsigned short) vu;
87 return h;
88 }
89
90 inline __device__ half shfl_xor(half v,
91 int laneMask, int width = kWarpSize) {
92 unsigned int vu = v.x;
93 vu = __shfl_xor(vu, laneMask, width);
94
95 half h;
96 h.x = (unsigned short) vu;
97 return h;
98 }
99 #endif
100
101 } } // namespace