forked from pytorch/pytorch
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathTHCNumerics.cuh
418 lines (378 loc) · 26.1 KB
/
THCNumerics.cuh
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
#ifndef THC_NUMERICS_INC
#define THC_NUMERICS_INC
#include <cstdlib>
#include <limits>
#include <cuda.h>
#include <assert.h>
#include <TH/THHalf.h>
#include <ATen/ATen.h>
#include <ATen/cuda/NumericLimits.cuh>
// WARNING: THCNumerics is being deprecated. Please follow the comments
// in this file to learn about new usages.
// Comments on usage:
// - lt,le,gt,ge,eq,neg,add,mul,sub,div and other binary ops can
// be implemented using CUDA_apply_utils or binary cuda kernel
// - Check NumericLimits.cuh for specialized math functions.
// - Note how __half and at::Half can be casted. for instance:
// static_cast<at::Half>(std::sin(static_cast<at::Half>(a)));
template <typename T>
struct THCNumerics {
};
template <typename T>
static inline __host__ __device__ T powi(T a, T b) {
assert(THCNumerics<T>::ge(b, 0));
T result = 1;
while (b) {
if (b & 1) {
result *= a;
}
b /= 2;
a *= a;
}
return result;
}
// DEPRECATED: For integral types, use math functions from std and NumericLimits.cuh.
// Use binary_kernel or CUDA_apply_utils for arithmetic
template <>
struct THCNumerics<uint8_t> {
static inline __host__ __device__ uint8_t min() { return at::numeric_limits<uint8_t>::lowest(); }
static inline __host__ __device__ uint8_t max() { return at::numeric_limits<uint8_t>::max(); }
static inline __host__ __device__ uint8_t lower_bound() { return at::numeric_limits<uint8_t>::lower_bound(); }
static inline __host__ __device__ uint8_t upper_bound() { return at::numeric_limits<uint8_t>::upper_bound(); }
static inline __host__ __device__ bool lt(uint8_t a, uint8_t b) { return a < b; }
static inline __host__ __device__ bool le(uint8_t a, uint8_t b) { return a <= b; }
static inline __host__ __device__ bool gt(uint8_t a, uint8_t b) { return a > b; }
static inline __host__ __device__ bool ge(uint8_t a, uint8_t b) { return a >= b; }
static inline __host__ __device__ bool eq(uint8_t a, uint8_t b) { return a == b; }
static inline __device__ bool eq_with_nan(uint8_t a, uint8_t b) { return a == b; }
static inline __host__ __device__ bool ne(uint8_t a, uint8_t b) { return a != b; }
static inline __host__ __device__ uint8_t neg(int8_t a) { return -a; }
static inline __host__ __device__ uint8_t add(uint8_t a, uint8_t b) { return a + b; }
static inline __host__ __device__ uint8_t mul(uint8_t a, uint8_t b) { return a * b; }
static inline __host__ __device__ uint8_t sub(uint8_t a, uint8_t b) { return a - b; }
static inline __host__ __device__ uint8_t div(uint8_t a, uint8_t b) { return a / b; }
static inline __host__ __device__ uint8_t abs(uint8_t a) { return a; }
static inline __host__ __device__ uint8_t pow(uint8_t a, uint8_t b) { return powi<uint8_t>(a, b); }
static inline __host__ __device__ bool isnan(uint8_t a) { return false; }
static inline __host__ __device__ bool isinf(uint8_t a) { return false; }
};
template <>
struct THCNumerics<bool> {
static inline __host__ __device__ bool min() { return at::numeric_limits<bool>::lowest(); }
static inline __host__ __device__ bool max() { return at::numeric_limits<bool>::max(); }
static inline __host__ __device__ bool lower_bound() { return at::numeric_limits<bool>::lower_bound(); }
static inline __host__ __device__ bool upper_bound() { return at::numeric_limits<bool>::upper_bound(); }
static inline __host__ __device__ bool lt(bool a, bool b) { return a < b; }
static inline __host__ __device__ bool le(bool a, bool b) { return a <= b; }
static inline __host__ __device__ bool gt(bool a, bool b) { return a > b; }
static inline __host__ __device__ bool ge(bool a, bool b) { return a >= b; }
static inline __host__ __device__ bool eq(bool a, bool b) { return a == b; }
static inline __host__ __device__ bool ne(bool a, bool b) { return a != b; }
static inline __host__ __device__ bool add(bool a, bool b) { return a + b; }
static inline __host__ __device__ bool mul(bool a, bool b) { return a && b; }
static inline __host__ __device__ bool sub(bool a, bool b) { return a - b; }
static inline __host__ __device__ bool div(bool a, bool b) { return a / b; }
static inline __host__ __device__ bool neg(bool a) { return !a; }
static inline __host__ __device__ bool abs(bool a) { return a; }
static inline __host__ __device__ bool isnan(bool a) { return false; }
static inline __host__ __device__ bool isinf(bool a) { return false; }
};
template <>
struct THCNumerics<int8_t> {
static inline __host__ __device__ int8_t min() { return at::numeric_limits<int8_t>::lowest(); }
static inline __host__ __device__ int8_t max() { return at::numeric_limits<int8_t>::max(); }
static inline __host__ __device__ int8_t lower_bound() { return at::numeric_limits<int8_t>::lower_bound(); }
static inline __host__ __device__ int8_t upper_bound() { return at::numeric_limits<int8_t>::upper_bound(); }
static inline __host__ __device__ bool lt(int8_t a, int8_t b) { return a < b; }
static inline __host__ __device__ bool le(int8_t a, int8_t b) { return a <= b; }
static inline __host__ __device__ bool gt(int8_t a, int8_t b) { return a > b; }
static inline __host__ __device__ bool ge(int8_t a, int8_t b) { return a >= b; }
static inline __host__ __device__ bool eq(int8_t a, int8_t b) { return a == b; }
static inline __device__ bool eq_with_nan(int8_t a, int8_t b) { return a == b; }
static inline __host__ __device__ bool ne(int8_t a, int8_t b) { return a != b; }
static inline __host__ __device__ int8_t neg(int8_t a) { return -a; }
static inline __host__ __device__ int8_t add(int8_t a, int8_t b) { return a + b; }
static inline __host__ __device__ int8_t mul(int8_t a, int8_t b) { return a * b; }
static inline __host__ __device__ int8_t sub(int8_t a, int8_t b) { return a - b; }
static inline __host__ __device__ int8_t div(int8_t a, int8_t b) { return a / b; }
static inline __host__ __device__ int8_t abs(int8_t a) { return ::abs((int)a); }
static inline __host__ __device__ int8_t pow(int8_t a, int8_t b) { return powi<int8_t>(a, b); }
static inline __host__ __device__ bool isnan(int8_t a) { return false; }
static inline __host__ __device__ bool isinf(int8_t a) { return false; }
};
template <>
struct THCNumerics<int16_t> {
static inline __host__ __device__ int16_t min() { return at::numeric_limits<int16_t>::lowest(); }
static inline __host__ __device__ int16_t max() { return at::numeric_limits<int16_t>::max(); }
static inline __host__ __device__ int16_t lower_bound() { return at::numeric_limits<int16_t>::lower_bound(); }
static inline __host__ __device__ int16_t upper_bound() { return at::numeric_limits<int16_t>::upper_bound(); }
static inline __host__ __device__ bool lt(int16_t a, int16_t b) { return a < b; }
static inline __host__ __device__ bool le(int16_t a, int16_t b) { return a <= b; }
static inline __host__ __device__ bool gt(int16_t a, int16_t b) { return a > b; }
static inline __host__ __device__ bool ge(int16_t a, int16_t b) { return a >= b; }
static inline __host__ __device__ bool eq(int16_t a, int16_t b) { return a == b; }
static inline __device__ bool eq_with_nan(int16_t a, int16_t b) { return a == b; }
static inline __host__ __device__ bool ne(int16_t a, int16_t b) { return a != b; }
static inline __host__ __device__ int16_t neg(int16_t a) { return -a; }
static inline __host__ __device__ int16_t add(int16_t a, int16_t b) { return a + b; }
static inline __host__ __device__ int16_t mul(int16_t a, int16_t b) { return a * b; }
static inline __host__ __device__ int16_t sub(int16_t a, int16_t b) { return a - b; }
static inline __host__ __device__ int16_t div(int16_t a, int16_t b) { return a / b; }
static inline __host__ __device__ int16_t abs(int16_t a) { return ::abs((int)a); }
static inline __host__ __device__ int16_t pow(int16_t a, int16_t b) { return powi<int16_t>(a, b); }
static inline __host__ __device__ bool isnan(int16_t a) { return false; }
static inline __host__ __device__ bool isinf(int16_t a) { return false; }
};
template <>
struct THCNumerics<int32_t> {
static inline __host__ __device__ int32_t min() { return at::numeric_limits<int32_t>::lowest(); }
static inline __host__ __device__ int32_t max() { return at::numeric_limits<int32_t>::max(); }
static inline __host__ __device__ int32_t lower_bound() { return at::numeric_limits<int32_t>::lower_bound(); }
static inline __host__ __device__ int32_t upper_bound() { return at::numeric_limits<int32_t>::upper_bound(); }
static inline __host__ __device__ bool lt(int32_t a, int32_t b) { return a < b; }
static inline __host__ __device__ bool le(int32_t a, int32_t b) { return a <= b; }
static inline __host__ __device__ bool gt(int32_t a, int32_t b) { return a > b; }
static inline __host__ __device__ bool ge(int32_t a, int32_t b) { return a >= b; }
static inline __host__ __device__ bool eq(int32_t a, int32_t b) { return a == b; }
static inline __device__ bool eq_with_nan(int32_t a, int32_t b) { return a == b; }
static inline __host__ __device__ bool ne(int32_t a, int32_t b) { return a != b; }
static inline __host__ __device__ int32_t neg(int32_t a) { return -a; }
static inline __host__ __device__ int32_t add(int32_t a, int32_t b) { return a + b; }
static inline __host__ __device__ int32_t mul(int32_t a, int32_t b) { return a * b; }
static inline __host__ __device__ int32_t sub(int32_t a, int32_t b) { return a - b; }
static inline __host__ __device__ int32_t div(int32_t a, int32_t b) { return a / b; }
static inline __host__ __device__ int32_t abs(int32_t a) { return ::abs(a); }
static inline __host__ __device__ int32_t pow(int32_t a, int32_t b) { return powi<int32_t>(a, b); }
static inline __host__ __device__ bool isnan(int32_t a) { return false; }
static inline __host__ __device__ bool isinf(int32_t a) { return false; }
};
template <>
struct THCNumerics<int64_t> {
static inline __host__ __device__ int64_t min() { return at::numeric_limits<int64_t>::lowest(); }
static inline __host__ __device__ int64_t max() { return at::numeric_limits<int64_t>::max(); }
static inline __host__ __device__ int64_t lower_bound() { return at::numeric_limits<int64_t>::lower_bound(); }
static inline __host__ __device__ int64_t upper_bound() { return at::numeric_limits<int64_t>::upper_bound(); }
static inline __host__ __device__ bool lt(int64_t a, int64_t b) { return a < b; }
static inline __host__ __device__ bool le(int64_t a, int64_t b) { return a <= b; }
static inline __host__ __device__ bool gt(int64_t a, int64_t b) { return a > b; }
static inline __host__ __device__ bool ge(int64_t a, int64_t b) { return a >= b; }
static inline __host__ __device__ bool eq(int64_t a, int64_t b) { return a == b; }
static inline __device__ bool eq_with_nan(int64_t a, int64_t b) { return a == b; }
static inline __host__ __device__ bool ne(int64_t a, int64_t b) { return a != b; }
static inline __host__ __device__ int64_t neg(int64_t a) { return -a; }
static inline __host__ __device__ int64_t add(int64_t a, int64_t b) { return a + b; }
static inline __host__ __device__ int64_t mul(int64_t a, int64_t b) { return a * b; }
static inline __host__ __device__ int64_t sub(int64_t a, int64_t b) { return a - b; }
static inline __host__ __device__ int64_t div(int64_t a, int64_t b) { return a / b; };
static inline __host__ __device__ int64_t abs(int64_t a) { return labs(a); }
static inline __host__ __device__ int64_t pow(int64_t a, int64_t b) { return powi<int64_t>(a, b); }
static inline __host__ __device__ bool isnan(int64_t a) { return false; }
static inline __host__ __device__ bool isinf(int64_t a) { return false; }
};
// DEPRECATED: use math functions from std and NumericLimits.cuh
template <>
struct THCNumerics<at::Half> {
static inline __host__ __device__ at::Half min() { return at::numeric_limits<at::Half>::lowest(); }
static inline __host__ __device__ at::Half max() { return at::numeric_limits<at::Half>::max(); }
static inline __host__ __device__ at::Half lower_bound() { return at::numeric_limits<at::Half>::lower_bound(); }
static inline __host__ __device__ at::Half upper_bound() { return at::numeric_limits<at::Half>::upper_bound(); }
static inline __host__ __device__ bool lt(at::Half a, at::Half b) { return a < b; }
static inline __host__ __device__ bool le(at::Half a, at::Half b) { return a <= b; }
static inline __host__ __device__ bool gt(at::Half a, at::Half b) { return a > b; }
static inline __host__ __device__ bool ge(at::Half a, at::Half b) { return a >= b; }
static inline __host__ __device__ bool eq(at::Half a, at::Half b) { return a == b; }
static inline __device__ bool eq_with_nan(at::Half a, at::Half b) { return __half_as_ushort(a) == __half_as_ushort(b); }
static inline __host__ __device__ bool ne(at::Half a, at::Half b) { return a != b; }
static inline __host__ __device__ at::Half exp(at::Half a) { return std::exp(a); }
static inline __host__ __device__ at::Half exp10(at::Half a) { return ::exp10(a); }
static inline __host__ __device__ at::Half log(at::Half a) { return ::log(a); }
static inline __host__ __device__ at::Half log10(at::Half a) { return ::log10(a); }
static inline __host__ __device__ at::Half log1p(at::Half a) { return ::log1p(a); }
static inline __host__ __device__ at::Half log2(at::Half a) { return ::log2(a); }
static inline __host__ __device__ at::Half lgamma(at::Half a) { return ::lgamma(a); }
static inline __host__ __device__ at::Half expm1(at::Half a) { return ::expm1(a); }
static inline __host__ __device__ at::Half cos(at::Half a) { return ::cos(a); }
static inline __host__ __device__ at::Half sin(at::Half a) { return ::sin(a); }
static inline __host__ __device__ at::Half sqrt(at::Half a) { return ::sqrt(a); }
static inline __host__ __device__ at::Half rsqrt(at::Half a) { return ::rsqrt(a); }
static inline __host__ __device__ at::Half ceil(at::Half a) { return ::ceil(a); }
static inline __host__ __device__ at::Half floor(at::Half a) { return ::floor(a); }
static inline __host__ __device__ at::Half trunc(at::Half a) { return ::trunc(a); }
static inline __host__ __device__ at::Half neg(at::Half a) { return -a; }
static inline __host__ __device__ at::Half acos(at::Half a) { return ::acos(a); }
static inline __host__ __device__ at::Half cosh(at::Half a) { return ::cosh(a); }
static inline __host__ __device__ at::Half asin(at::Half a) { return ::asin(a); }
static inline __host__ __device__ at::Half sinh(at::Half a) { return ::sinh(a); }
static inline __host__ __device__ at::Half tan(at::Half a) { return ::tan(a); }
static inline __host__ __device__ at::Half atan(at::Half a) { return ::atan(a); }
static inline __host__ __device__ at::Half tanh(at::Half a) { return ::tanh(a); }
static inline __host__ __device__ at::Half erf(at::Half a) { return ::erf(a); }
static inline __host__ __device__ at::Half erfc(at::Half a) { return ::erfc(a); }
static inline __host__ __device__ at::Half erfinv(at::Half a) { return ::erfinv(a); }
static inline __host__ __device__ at::Half abs(at::Half a) { return std::abs(a); }
static inline __host__ __device__ at::Half round(at::Half a) { return ::nearbyint(a); }
static inline __host__ __device__ at::Half frac(at::Half a) {
#if defined(__CUDA_ARCH__) || defined(__HIP_PLATFORM_HCC__)
return a - ::trunc(a);
#else // __CUDA_ARCH__
return a - ::floor(a);
#endif
}
static inline __host__ __device__ at::Half cinv(at::Half a) { return 1.0f / a; }
static inline __host__ __device__ at::Half add(at::Half a, at::Half b) { return a + b; }
static inline __host__ __device__ at::Half div(at::Half a, at::Half b) { return a / b; }
static inline __host__ __device__ at::Half mul(at::Half a, at::Half b) { return a * b; }
static inline __host__ __device__ at::Half sub(at::Half a, at::Half b) { return a - b; }
static inline __host__ __device__ at::Half pow(at::Half a, at::Half b) { return ::pow(a, b); }
static inline __host__ __device__ at::Half atan2(at::Half a, at::Half b) { return ::atan2(a, b); }
static inline __host__ __device__ bool isnan(at::Half a) {
#ifdef _MSC_VER
// Windows requires this explicit conversion. The reason is unclear
// related issue with clang: https://reviews.llvm.org/D37906
return ::isnan((float) a);
#else
return ::isnan(a);
#endif
}
static inline __host__ __device__ bool isinf(at::Half a) {
#ifdef _MSC_VER
// Windows requires this explicit conversion. The reason is unclear
// related issue with clang: https://reviews.llvm.org/D37906
return ::isinf((float) a);
#else
return ::isinf(a);
#endif
}
};
// DEPRECATED: use math functions from std and cuda math API (if needed)
// note that the functions exp10,rsqrt,erfinv,frac and cinv
// are not in the std namespace
template <>
struct THCNumerics<float> {
static inline __host__ __device__ float min() { return at::numeric_limits<float>::lowest(); }
static inline __host__ __device__ float max() { return at::numeric_limits<float>::max(); }
static inline __host__ __device__ float lower_bound() { return at::numeric_limits<float>::lower_bound(); }
static inline __host__ __device__ float upper_bound() { return at::numeric_limits<float>::upper_bound(); }
static inline __host__ __device__ bool lt(float a, float b) { return a < b; }
static inline __host__ __device__ bool le(float a, float b) { return a <= b; }
static inline __host__ __device__ bool gt(float a, float b) { return a > b; }
static inline __host__ __device__ bool ge(float a, float b) { return a >= b; }
static inline __host__ __device__ bool eq(float a, float b) { return a == b; }
static inline __device__ bool eq_with_nan(float a, float b) { return __float_as_int(a) == __float_as_int(b); }
static inline __host__ __device__ bool ne(float a, float b) { return a != b; }
static inline __host__ __device__ float lgamma(float a) { return lgammaf(a);}
static inline __host__ __device__ float erfinv(float a) { return erfinvf(a);}
static inline __host__ __device__ float exp (float a) { return expf(a); }
static inline __host__ __device__ float exp10(float a) { return exp10f(a); }
static inline __host__ __device__ float log (float a) { return logf(a); }
static inline __host__ __device__ float log10(float a) { return log10f(a); }
static inline __host__ __device__ float log1p(float a) { return log1pf(a); }
static inline __host__ __device__ float log2 (float a) { return log2f(a); }
static inline __host__ __device__ float expm1(float a) { return expm1f(a); }
static inline __host__ __device__ float cos (float a) { return cosf(a); }
static inline __host__ __device__ float sin (float a) { return sinf(a); }
static inline __host__ __device__ float sqrt (float a) { return sqrtf(a); }
static inline __host__ __device__ float rsqrt(float a) { return rsqrtf(a); }
static inline __host__ __device__ float ceil (float a) { return ceilf(a); }
static inline __host__ __device__ float floor(float a) { return floorf(a); }
static inline __host__ __device__ float trunc(float a) { return truncf(a); }
static inline __host__ __device__ float neg (float a) { return -a; }
static inline __host__ __device__ float acos (float a) { return acosf(a); }
static inline __host__ __device__ float cosh (float a) { return coshf(a); }
static inline __host__ __device__ float acosh(float a) { return acoshf(a); }
static inline __host__ __device__ float asin (float a) { return asinf(a); }
static inline __host__ __device__ float sinh (float a) { return sinhf(a); }
static inline __host__ __device__ float asinh(float a) { return asinhf(a); }
static inline __host__ __device__ float tan (float a) { return tanf(a); }
static inline __host__ __device__ float atan (float a) { return atanf(a); }
static inline __host__ __device__ float tanh (float a) { return tanhf(a); }
static inline __host__ __device__ float erf (float a) { return erff(a); }
static inline __host__ __device__ float erfc (float a) { return erfcf(a); }
static inline __host__ __device__ float abs (float a) { return fabsf(a); }
static inline __host__ __device__ float round(float a) { return nearbyintf(a); }
static inline __host__ __device__ float frac (float a) { return a - truncf(a); }
static inline __host__ __device__ float cinv (float a) { return 1.0f / a; }
static inline __host__ __device__ float add (float a, float b) { return a + b; }
static inline __host__ __device__ float div (float a, float b) { return a / b; }
static inline __host__ __device__ float mul (float a, float b) { return a * b; }
static inline __host__ __device__ float sub (float a, float b) { return a - b; }
static inline __host__ __device__ float pow (float a, float b) { return powf(a, b); }
static inline __host__ __device__ float atan2(float a, float b) { return atan2f(a, b); }
static inline __host__ __device__ bool isnan(float a) { return ::isnan(a); }
static inline __host__ __device__ bool isinf(float a) { return ::isinf(a); }
};
// DEPRECATED: use math functions from std and cuda math API (if needed)
// note that the functions exp10,rsqrt,erfinv,frac and cinv
// are not in the std namespace
template <>
struct THCNumerics<double> {
static inline __host__ __device__ double min() { return at::numeric_limits<double>::lowest(); }
static inline __host__ __device__ double max() { return at::numeric_limits<double>::max(); }
static inline __host__ __device__ double lower_bound() { return at::numeric_limits<double>::lower_bound(); }
static inline __host__ __device__ double upper_bound() { return at::numeric_limits<double>::upper_bound(); }
static inline __host__ __device__ bool lt(double a, double b) { return a < b; }
static inline __host__ __device__ bool le(double a, double b) { return a <= b; }
static inline __host__ __device__ bool gt(double a, double b) { return a > b; }
static inline __host__ __device__ bool ge(double a, double b) { return a >= b; }
static inline __host__ __device__ bool eq(double a, double b) { return a == b; }
static inline __device__ bool eq_with_nan(double a, double b) { return __double_as_longlong(a) == __double_as_longlong(b); }
static inline __host__ __device__ bool ne(double a, double b) { return a != b; }
static inline __host__ __device__ double lgamma(double a) { return ::lgamma(a);}
static inline __host__ __device__ double erfinv(double a) { return ::erfinv(a);}
static inline __host__ __device__ double exp (double a) { return ::exp(a); }
static inline __host__ __device__ double exp10(double a) { return ::exp10(a); }
static inline __host__ __device__ double log (double a) { return ::log(a); }
static inline __host__ __device__ double log10(double a) { return ::log10(a); }
static inline __host__ __device__ double log1p(double a) { return ::log1p(a); }
static inline __host__ __device__ double log2 (double a) { return ::log2(a); }
static inline __host__ __device__ double expm1(double a) { return ::expm1(a); }
static inline __host__ __device__ double cos (double a) { return ::cos(a); }
static inline __host__ __device__ double sin (double a) { return ::sin(a); }
static inline __host__ __device__ double sqrt (double a) { return ::sqrt(a); }
static inline __host__ __device__ double rsqrt(double a) { return ::rsqrt(a); }
static inline __host__ __device__ double ceil (double a) { return ::ceil(a); }
static inline __host__ __device__ double floor(double a) { return ::floor(a); }
static inline __host__ __device__ double trunc(double a) { return ::trunc(a); }
static inline __host__ __device__ double neg (double a) { return -a; }
static inline __host__ __device__ double acos (double a) { return ::acos(a); }
static inline __host__ __device__ double cosh (double a) { return ::cosh(a); }
static inline __host__ __device__ double acosh(double a) { return ::acosh(a); }
static inline __host__ __device__ double asin (double a) { return ::asin(a); }
static inline __host__ __device__ double sinh (double a) { return ::sinh(a); }
static inline __host__ __device__ double asinh(double a) { return ::asinh(a); }
static inline __host__ __device__ double tan (double a) { return ::tan(a); }
static inline __host__ __device__ double atan (double a) { return ::atan(a); }
static inline __host__ __device__ double tanh (double a) { return ::tanh(a); }
static inline __host__ __device__ double erf (double a) { return ::erf(a); }
static inline __host__ __device__ double erfc (double a) { return ::erfc(a); }
static inline __host__ __device__ double abs (double a) { return fabs(a); }
static inline __host__ __device__ double round(double a) { return ::nearbyint(a); }
static inline __host__ __device__ double frac (double a) { return a - ::trunc(a); }
static inline __host__ __device__ double cinv (double a) { return 1.0 / a; }
static inline __host__ __device__ double add (double a, double b) { return a + b; }
static inline __host__ __device__ double div (double a, double b) { return a / b; }
static inline __host__ __device__ double mul (double a, double b) { return a * b; }
static inline __host__ __device__ double sub (double a, double b) { return a - b; }
static inline __host__ __device__ double pow (double a, double b) { return ::pow(a, b); }
static inline __host__ __device__ double atan2(double a, double b) { return ::atan2(a, b); }
static inline __host__ __device__ bool isnan(double a) { return ::isnan(a); }
static inline __host__ __device__ bool isinf(double a) { return ::isinf(a); }
};
// WARNING: The following note is deprecated
/// `half` has some type conversion issues associated with it, since it
/// is a struct without a constructor/implicit conversion constructor.
/// We use this to convert scalar values to the given type that the
/// tensor expects.
///
/// at::Half has implicit conversions for float and __half types. Moreover
/// it has constructors for __half and float types.
template <typename In, typename Out>
struct ScalarConvert {
static __host__ __device__ Out to(const In v) { return (Out) v; }
};
// DEPRECATED: use static_cast in kernels instead of scalar_cast
template <typename T, typename U>
__host__ __device__ T scalar_cast(U u) {
return ScalarConvert<U, T>::to(u);
}
#endif // THC_NUMERICS_INC