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+ np.float64,0xbfed2003d5fa4008,0x4005b737c2727583,1
1330
+ np.float64,0x3fd5b093a3ab6128,0x3ff399ca2db1d96d,1
1331
+ np.float64,0x3fca692c3d34d258,0x3ff5ceb86b79223e,1
1332
+ np.float64,0x3fd6bbdf89ad77c0,0x3ff3528916df652d,1
1333
+ np.float64,0xbfefdadd46ffb5bb,0x40085ee735e19f19,1
1334
+ np.float64,0x3feb69fb2676d3f6,0x3fe157ee0c15691e,1
1335
+ np.float64,0x3fe44c931f689926,0x3fec46b6f5e3f265,1
1336
+ np.float64,0xbfc43ddbcb287bb8,0x3ffbac71d268d74d,1
1337
+ np.float64,0x3fe6e16d43edc2da,0x3fe8c5cf0f0daa66,1
1338
+ np.float64,0x3fe489efc76913e0,0x3febf704ca1ac2a6,1
1339
+ np.float64,0xbfe590aadceb2156,0x40027b764205cf78,1
1340
+ np.float64,0xbf782e8aa0305d00,0x3ff93a29e81928ab,1
1341
+ np.float64,0x3fedcb80cffb9702,0x3fd7e5d1f98a418b,1
1342
+ np.float64,0x3fe075858060eb0c,0x3ff07d23ab46b60f,1
1343
+ np.float64,0x3fe62a68296c54d0,0x3fe9c77f7068043b,1
1344
+ np.float64,0x3feff16a3c7fe2d4,0x3fae8e8a739cc67a,1
1345
+ np.float64,0xbfd6ed93e3addb28,0x3ffefebab206fa99,1
1346
+ np.float64,0x3fe40d8ccf681b1a,0x3fec97e9cd29966d,1
1347
+ np.float64,0x3fd6408210ac8104,0x3ff3737a7d374107,1
1348
+ np.float64,0x3fec8023b8f90048,0x3fde35ebfb2b3afd,1
1349
+ np.float64,0xbfe13babd4627758,0x40011dae5c07c56b,1
1350
+ np.float64,0xbfd2183e61a4307c,0x3ffdb80dd747cfbe,1
1351
+ np.float64,0x3feae8eb1d75d1d6,0x3fe24c1f6e42ae77,1
1352
+ np.float64,0xbfea559b9c74ab37,0x40044c8e5e123b20,1
1353
+ np.float64,0xbfd12c9d57a2593a,0x3ffd7ac6222f561c,1
1354
+ np.float64,0x3fe32eb697e65d6e,0x3fedb202693875b6,1
1355
+ np.float64,0xbfde0808c3bc1012,0x4000794bd8616ea3,1
1356
+ np.float64,0x3fe14958a06292b2,0x3ff0007b40ac648a,1
1357
+ np.float64,0x3fe3d388a6e7a712,0x3fece21751a6dd7c,1
1358
+ np.float64,0x3fe7ad7897ef5af2,0x3fe79c5b3da302a7,1
1359
+ np.float64,0x3fec75527e78eaa4,0x3fde655de0cf0508,1
1360
+ np.float64,0x3fea920d4c75241a,0x3fe2ea48f031d908,1
1361
+ np.float64,0x7fefffffffffffff,0x7ff8000000000000,1
1362
+ np.float64,0xbfc17a68cb22f4d0,0x3ffb530925f41aa0,1
1363
+ np.float64,0xbfe1c93166e39263,0x400147f3cb435dec,1
1364
+ np.float64,0x3feb97c402f72f88,0x3fe0fe5b561bf869,1
1365
+ np.float64,0x3fb58ff5162b1ff0,0x3ff7c8933fa969dc,1
1366
+ np.float64,0x3fe68e2beded1c58,0x3fe93c075283703b,1
1367
+ np.float64,0xbf94564cc828aca0,0x3ff97355e5ee35db,1
1368
+ np.float64,0x3fd31061c9a620c4,0x3ff44b150ec96998,1
1369
+ np.float64,0xbfc7d0c89f2fa190,0x3ffc208bf4eddc4d,1
1370
+ np.float64,0x3fe5736f1d6ae6de,0x3feac18f84992d1e,1
1371
+ np.float64,0x3fdb62e480b6c5c8,0x3ff20ecfdc4afe7c,1
1372
+ np.float64,0xbfc417228b282e44,0x3ffba78afea35979,1
1373
+ np.float64,0x3f8f5ba1303eb780,0x3ff8e343714630ff,1
1374
+ np.float64,0x3fe8e99126f1d322,0x3fe5b6511d4c0798,1
1375
+ np.float64,0xbfe2ec08a1e5d812,0x4001a0bb28a85875,1
1376
+ np.float64,0x3fea3b46cf74768e,0x3fe383dceaa74296,1
1377
+ np.float64,0xbfe008b5ed60116c,0x4000c3d62c275d40,1
1378
+ np.float64,0xbfcd9f8a4b3b3f14,0x3ffcde98d6484202,1
1379
+ np.float64,0xbfdb5fb112b6bf62,0x40001a22137ef1c9,1
1380
+ np.float64,0xbfe9079565f20f2b,0x4003c0670c92e401,1
1381
+ np.float64,0xbfce250dc53c4a1c,0x3ffcefc2b3dc3332,1
1382
+ np.float64,0x3fe9ba85d373750c,0x3fe4607131b28773,1
1383
+ np.float64,0x10000000000000,0x3ff921fb54442d18,1
1384
+ np.float64,0xbfeb9ef42c773de8,0x4004e5f239203ad8,1
1385
+ np.float64,0xbfd6bf457dad7e8a,0x3ffef2563d87b18d,1
1386
+ np.float64,0x3fe4de9aa5e9bd36,0x3feb87f97defb04a,1
1387
+ np.float64,0x3fedb4f67cfb69ec,0x3fd8603c465bffac,1
1388
+ np.float64,0x3fe7b6d9506f6db2,0x3fe78e670c7bdb67,1
1389
+ np.float64,0x3fe071717460e2e2,0x3ff07f84472d9cc5,1
1390
+ np.float64,0xbfed2e79dbfa5cf4,0x4005bffc6f9ad24f,1
1391
+ np.float64,0x3febb8adc377715c,0x3fe0bcebfbd45900,1
1392
+ np.float64,0xbfee2cffd87c5a00,0x40066b20a037c478,1
1393
+ np.float64,0x3fef7e358d7efc6c,0x3fc6d0ba71a542a8,1
1394
+ np.float64,0xbfef027eef7e04fe,0x400723291cb00a7a,1
1395
+ np.float64,0x3fac96da34392dc0,0x3ff83d260a936c6a,1
1396
+ np.float64,0x3fe9dba94a73b752,0x3fe428736b94885e,1
1397
+ np.float64,0x3fed37581efa6eb0,0x3fdae49dcadf1d90,1
1398
+ np.float64,0xbfe6e61037edcc20,0x4002f23031b8d522,1
1399
+ np.float64,0xbfdea7204dbd4e40,0x40008fe1f37918b7,1
1400
+ np.float64,0x3feb9f8edb773f1e,0x3fe0eef20bd4387b,1
1401
+ np.float64,0x3feeb0b6ed7d616e,0x3fd25fb3b7a525d6,1
1402
+ np.float64,0xbfd7ce9061af9d20,0x3fff3b25d531aa2b,1
1403
+ np.float64,0xbfc806b509300d6c,0x3ffc2768743a8360,1
1404
+ np.float64,0xbfa283882c250710,0x3ff9b61fda28914a,1
1405
+ np.float64,0x3fdec70050bd8e00,0x3ff11b1d769b578f,1
1406
+ np.float64,0xbfc858a44930b148,0x3ffc31d6758b4721,1
1407
+ np.float64,0x3fdc321150b86424,0x3ff1d5504c3c91e4,1
1408
+ np.float64,0x3fd9416870b282d0,0x3ff2a46f3a850f5b,1
1409
+ np.float64,0x3fdd756968baead4,0x3ff17ac510a5573f,1
1410
+ np.float64,0xbfedfd632cfbfac6,0x400648345a2f89b0,1
1411
+ np.float64,0x3fd6874285ad0e84,0x3ff36098ebff763f,1
1412
+ np.float64,0x3fe6daacc9edb55a,0x3fe8cf75fae1e35f,1
1413
+ np.float64,0x3fe53f19766a7e32,0x3feb07d0e97cd55b,1
1414
+ np.float64,0x3fd13cc36ca27988,0x3ff4c4ff801b1faa,1
1415
+ np.float64,0x3fe4f21cbce9e43a,0x3feb6e34a72ef529,1
1416
+ np.float64,0xbfc21c1cc9243838,0x3ffb67726394ca89,1
1417
+ np.float64,0x3fe947a3f2728f48,0x3fe51eae4660e23c,1
1418
+ np.float64,0xbfce78cd653cf19c,0x3ffcfa89194b3f5e,1
1419
+ np.float64,0x3fe756f049eeade0,0x3fe81be7f2d399e2,1
1420
+ np.float64,0xbfcc727cf138e4f8,0x3ffcb7f547841bb0,1
1421
+ np.float64,0xbfc2d8d58f25b1ac,0x3ffb7f496cc72458,1
1422
+ np.float64,0xbfcfd0e4653fa1c8,0x3ffd26e1309bc80b,1
1423
+ np.float64,0xbfe2126c106424d8,0x40015e0e01db6a4a,1
1424
+ np.float64,0x3fe580e4306b01c8,0x3feaaf683ce51aa5,1
1425
+ np.float64,0x3fcea8a1b93d5140,0x3ff543456c0d28c7,1
1426
+ np.float64,0xfff0000000000000,0x7ff8000000000000,1
1427
+ np.float64,0xbfd9d5da72b3abb4,0x3fffc8013113f968,1
1428
+ np.float64,0xbfe1fdfcea63fbfa,0x400157def2e4808d,1
1429
+ np.float64,0xbfc0022e0720045c,0x3ffb239963e7cbf2,1
parrot/lib/python3.10/site-packages/numpy/_core/tests/data/umath-validation-set-exp.csv ADDED
@@ -0,0 +1,412 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dtype,input,output,ulperrortol
2
+ ## +ve denormals ##
3
+ np.float32,0x004b4716,0x3f800000,3
4
+ np.float32,0x007b2490,0x3f800000,3
5
+ np.float32,0x007c99fa,0x3f800000,3
6
+ np.float32,0x00734a0c,0x3f800000,3
7
+ np.float32,0x0070de24,0x3f800000,3
8
+ np.float32,0x00495d65,0x3f800000,3
9
+ np.float32,0x006894f6,0x3f800000,3
10
+ np.float32,0x00555a76,0x3f800000,3
11
+ np.float32,0x004e1fb8,0x3f800000,3
12
+ np.float32,0x00687de9,0x3f800000,3
13
+ ## -ve denormals ##
14
+ np.float32,0x805b59af,0x3f800000,3
15
+ np.float32,0x807ed8ed,0x3f800000,3
16
+ np.float32,0x807142ad,0x3f800000,3
17
+ np.float32,0x80772002,0x3f800000,3
18
+ np.float32,0x8062abcb,0x3f800000,3
19
+ np.float32,0x8045e31c,0x3f800000,3
20
+ np.float32,0x805f01c2,0x3f800000,3
21
+ np.float32,0x80506432,0x3f800000,3
22
+ np.float32,0x8060089d,0x3f800000,3
23
+ np.float32,0x8071292f,0x3f800000,3
24
+ ## floats that output a denormal ##
25
+ np.float32,0xc2cf3fc1,0x00000001,3
26
+ np.float32,0xc2c79726,0x00000021,3
27
+ np.float32,0xc2cb295d,0x00000005,3
28
+ np.float32,0xc2b49e6b,0x00068c4c,3
29
+ np.float32,0xc2ca8116,0x00000008,3
30
+ np.float32,0xc2c23f82,0x000001d7,3
31
+ np.float32,0xc2cb69c0,0x00000005,3
32
+ np.float32,0xc2cc1f4d,0x00000003,3
33
+ np.float32,0xc2ae094e,0x00affc4c,3
34
+ np.float32,0xc2c86c44,0x00000015,3
35
+ ## random floats between -87.0f and 88.0f ##
36
+ np.float32,0x4030d7e0,0x417d9a05,3
37
+ np.float32,0x426f60e8,0x6aa1be2c,3
38
+ np.float32,0x41a1b220,0x4e0efc11,3
39
+ np.float32,0xc20cc722,0x26159da7,3
40
+ np.float32,0x41c492bc,0x512ec79d,3
41
+ np.float32,0x40980210,0x42e73a0e,3
42
+ np.float32,0xbf1f7b80,0x3f094de3,3
43
+ np.float32,0x42a678a4,0x7b87a383,3
44
+ np.float32,0xc20f3cfd,0x25a1c304,3
45
+ np.float32,0x423ff34c,0x6216467f,3
46
+ np.float32,0x00000000,0x3f800000,3
47
+ ## floats that cause an overflow ##
48
+ np.float32,0x7f06d8c1,0x7f800000,3
49
+ np.float32,0x7f451912,0x7f800000,3
50
+ np.float32,0x7ecceac3,0x7f800000,3
51
+ np.float32,0x7f643b45,0x7f800000,3
52
+ np.float32,0x7e910ea0,0x7f800000,3
53
+ np.float32,0x7eb4756b,0x7f800000,3
54
+ np.float32,0x7f4ec708,0x7f800000,3
55
+ np.float32,0x7f6b4551,0x7f800000,3
56
+ np.float32,0x7d8edbda,0x7f800000,3
57
+ np.float32,0x7f730718,0x7f800000,3
58
+ np.float32,0x42b17217,0x7f7fff84,3
59
+ np.float32,0x42b17218,0x7f800000,3
60
+ np.float32,0x42b17219,0x7f800000,3
61
+ np.float32,0xfef2b0bc,0x00000000,3
62
+ np.float32,0xff69f83e,0x00000000,3
63
+ np.float32,0xff4ecb12,0x00000000,3
64
+ np.float32,0xfeac6d86,0x00000000,3
65
+ np.float32,0xfde0cdb8,0x00000000,3
66
+ np.float32,0xff26aef4,0x00000000,3
67
+ np.float32,0xff6f9277,0x00000000,3
68
+ np.float32,0xff7adfc4,0x00000000,3
69
+ np.float32,0xff0ad40e,0x00000000,3
70
+ np.float32,0xff6fd8f3,0x00000000,3
71
+ np.float32,0xc2cff1b4,0x00000001,3
72
+ np.float32,0xc2cff1b5,0x00000000,3
73
+ np.float32,0xc2cff1b6,0x00000000,3
74
+ np.float32,0x7f800000,0x7f800000,3
75
+ np.float32,0xff800000,0x00000000,3
76
+ np.float32,0x4292f27c,0x7480000a,3
77
+ np.float32,0x42a920be,0x7c7fff94,3
78
+ np.float32,0x41c214c9,0x50ffffd9,3
79
+ np.float32,0x41abe686,0x4effffd9,3
80
+ np.float32,0x4287db5a,0x707fffd3,3
81
+ np.float32,0x41902cbb,0x4c800078,3
82
+ np.float32,0x42609466,0x67ffffeb,3
83
+ np.float32,0x41a65af5,0x4e7fffd1,3
84
+ np.float32,0x417f13ff,0x4affffc9,3
85
+ np.float32,0x426d0e6c,0x6a3504f2,3
86
+ np.float32,0x41bc8934,0x507fff51,3
87
+ np.float32,0x42a7bdde,0x7c0000d6,3
88
+ np.float32,0x4120cf66,0x46b504f6,3
89
+ np.float32,0x4244da8f,0x62ffff1a,3
90
+ np.float32,0x41a0cf69,0x4e000034,3
91
+ np.float32,0x41cd2bec,0x52000005,3
92
+ np.float32,0x42893e41,0x7100009e,3
93
+ np.float32,0x41b437e1,0x4fb50502,3
94
+ np.float32,0x41d8430f,0x5300001d,3
95
+ np.float32,0x4244da92,0x62ffffda,3
96
+ np.float32,0x41a0cf63,0x4dffffa9,3
97
+ np.float32,0x3eb17218,0x3fb504f3,3
98
+ np.float32,0x428729e8,0x703504dc,3
99
+ np.float32,0x41a0cf67,0x4e000014,3
100
+ np.float32,0x4252b77d,0x65800011,3
101
+ np.float32,0x41902cb9,0x4c800058,3
102
+ np.float32,0x42a0cf67,0x79800052,3
103
+ np.float32,0x4152b77b,0x48ffffe9,3
104
+ np.float32,0x41265af3,0x46ffffc8,3
105
+ np.float32,0x42187e0b,0x5affff9a,3
106
+ np.float32,0xc0d2b77c,0x3ab504f6,3
107
+ np.float32,0xc283b2ac,0x10000072,3
108
+ np.float32,0xc1cff1b4,0x2cb504f5,3
109
+ np.float32,0xc05dce9e,0x3d000000,3
110
+ np.float32,0xc28ec9d2,0x0bfffea5,3
111
+ np.float32,0xc23c893a,0x1d7fffde,3
112
+ np.float32,0xc2a920c0,0x027fff6c,3
113
+ np.float32,0xc1f9886f,0x2900002b,3
114
+ np.float32,0xc2c42920,0x000000b5,3
115
+ np.float32,0xc2893e41,0x0dfffec5,3
116
+ np.float32,0xc2c4da93,0x00000080,3
117
+ np.float32,0xc17f1401,0x3400000c,3
118
+ np.float32,0xc1902cb6,0x327fffaf,3
119
+ np.float32,0xc27c4e3b,0x11ffffc5,3
120
+ np.float32,0xc268e5c5,0x157ffe9d,3
121
+ np.float32,0xc2b4e953,0x0005a826,3
122
+ np.float32,0xc287db5a,0x0e800016,3
123
+ np.float32,0xc207db5a,0x2700000b,3
124
+ np.float32,0xc2b2d4fe,0x000ffff1,3
125
+ np.float32,0xc268e5c0,0x157fffdd,3
126
+ np.float32,0xc22920bd,0x2100003b,3
127
+ np.float32,0xc2902caf,0x0b80011e,3
128
+ np.float32,0xc1902cba,0x327fff2f,3
129
+ np.float32,0xc2ca6625,0x00000008,3
130
+ np.float32,0xc280ece8,0x10fffeb5,3
131
+ np.float32,0xc2918f94,0x0b0000ea,3
132
+ np.float32,0xc29b43d5,0x077ffffc,3
133
+ np.float32,0xc1e61ff7,0x2ab504f5,3
134
+ np.float32,0xc2867878,0x0effff15,3
135
+ np.float32,0xc2a2324a,0x04fffff4,3
136
+ #float64
137
+ ## near zero ##
138
+ np.float64,0x8000000000000000,0x3ff0000000000000,1
139
+ np.float64,0x8010000000000000,0x3ff0000000000000,1
140
+ np.float64,0x8000000000000001,0x3ff0000000000000,1
141
+ np.float64,0x8360000000000000,0x3ff0000000000000,1
142
+ np.float64,0x9a70000000000000,0x3ff0000000000000,1
143
+ np.float64,0xb9b0000000000000,0x3ff0000000000000,1
144
+ np.float64,0xb810000000000000,0x3ff0000000000000,1
145
+ np.float64,0xbc30000000000000,0x3ff0000000000000,1
146
+ np.float64,0xb6a0000000000000,0x3ff0000000000000,1
147
+ np.float64,0x0000000000000000,0x3ff0000000000000,1
148
+ np.float64,0x0010000000000000,0x3ff0000000000000,1
149
+ np.float64,0x0000000000000001,0x3ff0000000000000,1
150
+ np.float64,0x0360000000000000,0x3ff0000000000000,1
151
+ np.float64,0x1a70000000000000,0x3ff0000000000000,1
152
+ np.float64,0x3c30000000000000,0x3ff0000000000000,1
153
+ np.float64,0x36a0000000000000,0x3ff0000000000000,1
154
+ np.float64,0x39b0000000000000,0x3ff0000000000000,1
155
+ np.float64,0x3810000000000000,0x3ff0000000000000,1
156
+ ## underflow ##
157
+ np.float64,0xc0c6276800000000,0x0000000000000000,1
158
+ np.float64,0xc0c62d918ce2421d,0x0000000000000000,1
159
+ np.float64,0xc0c62d918ce2421e,0x0000000000000000,1
160
+ np.float64,0xc0c62d91a0000000,0x0000000000000000,1
161
+ np.float64,0xc0c62d9180000000,0x0000000000000000,1
162
+ np.float64,0xc0c62dea45ee3e06,0x0000000000000000,1
163
+ np.float64,0xc0c62dea45ee3e07,0x0000000000000000,1
164
+ np.float64,0xc0c62dea40000000,0x0000000000000000,1
165
+ np.float64,0xc0c62dea60000000,0x0000000000000000,1
166
+ np.float64,0xc0875f1120000000,0x0000000000000000,1
167
+ np.float64,0xc0875f113c30b1c8,0x0000000000000000,1
168
+ np.float64,0xc0875f1140000000,0x0000000000000000,1
169
+ np.float64,0xc093480000000000,0x0000000000000000,1
170
+ np.float64,0xffefffffffffffff,0x0000000000000000,1
171
+ np.float64,0xc7efffffe0000000,0x0000000000000000,1
172
+ ## overflow ##
173
+ np.float64,0x40862e52fefa39ef,0x7ff0000000000000,1
174
+ np.float64,0x40872e42fefa39ef,0x7ff0000000000000,1
175
+ ## +/- INF, +/- NAN ##
176
+ np.float64,0x7ff0000000000000,0x7ff0000000000000,1
177
+ np.float64,0xfff0000000000000,0x0000000000000000,1
178
+ np.float64,0x7ff8000000000000,0x7ff8000000000000,1
179
+ np.float64,0xfff8000000000000,0xfff8000000000000,1
180
+ ## output denormal ##
181
+ np.float64,0xc087438520000000,0x0000000000000001,1
182
+ np.float64,0xc08743853f2f4461,0x0000000000000001,1
183
+ np.float64,0xc08743853f2f4460,0x0000000000000001,1
184
+ np.float64,0xc087438540000000,0x0000000000000001,1
185
+ ## between -745.13321910 and 709.78271289 ##
186
+ np.float64,0xbff760cd14774bd9,0x3fcdb14ced00ceb6,1
187
+ np.float64,0xbff760cd20000000,0x3fcdb14cd7993879,1
188
+ np.float64,0xbff760cd00000000,0x3fcdb14d12fbd264,1
189
+ np.float64,0xc07f1cf360000000,0x130c1b369af14fda,1
190
+ np.float64,0xbeb0000000000000,0x3feffffe00001000,1
191
+ np.float64,0xbd70000000000000,0x3fefffffffffe000,1
192
+ np.float64,0xc084fd46e5c84952,0x0360000000000139,1
193
+ np.float64,0xc084fd46e5c84953,0x035ffffffffffe71,1
194
+ np.float64,0xc084fd46e0000000,0x0360000b9096d32c,1
195
+ np.float64,0xc084fd4700000000,0x035fff9721d12104,1
196
+ np.float64,0xc086232bc0000000,0x0010003af5e64635,1
197
+ np.float64,0xc086232bdd7abcd2,0x001000000000007c,1
198
+ np.float64,0xc086232bdd7abcd3,0x000ffffffffffe7c,1
199
+ np.float64,0xc086232be0000000,0x000ffffaf57a6fc9,1
200
+ np.float64,0xc086233920000000,0x000fe590e3b45eb0,1
201
+ np.float64,0xc086233938000000,0x000fe56133493c57,1
202
+ np.float64,0xc086233940000000,0x000fe5514deffbbc,1
203
+ np.float64,0xc086234c98000000,0x000fbf1024c32ccb,1
204
+ np.float64,0xc086234ca0000000,0x000fbf0065bae78d,1
205
+ np.float64,0xc086234c80000000,0x000fbf3f623a7724,1
206
+ np.float64,0xc086234ec0000000,0x000fbad237c846f9,1
207
+ np.float64,0xc086234ec8000000,0x000fbac27cfdec97,1
208
+ np.float64,0xc086234ee0000000,0x000fba934cfd3dc2,1
209
+ np.float64,0xc086234ef0000000,0x000fba73d7f618d9,1
210
+ np.float64,0xc086234f00000000,0x000fba54632dddc0,1
211
+ np.float64,0xc0862356e0000000,0x000faae0945b761a,1
212
+ np.float64,0xc0862356f0000000,0x000faac13eb9a310,1
213
+ np.float64,0xc086235700000000,0x000faaa1e9567b0a,1
214
+ np.float64,0xc086236020000000,0x000f98cd75c11ed7,1
215
+ np.float64,0xc086236ca0000000,0x000f8081b4d93f89,1
216
+ np.float64,0xc086236cb0000000,0x000f8062b3f4d6c5,1
217
+ np.float64,0xc086236cc0000000,0x000f8043b34e6f8c,1
218
+ np.float64,0xc086238d98000000,0x000f41220d9b0d2c,1
219
+ np.float64,0xc086238da0000000,0x000f4112cc80a01f,1
220
+ np.float64,0xc086238d80000000,0x000f414fd145db5b,1
221
+ np.float64,0xc08624fd00000000,0x000cbfce8ea1e6c4,1
222
+ np.float64,0xc086256080000000,0x000c250747fcd46e,1
223
+ np.float64,0xc08626c480000000,0x000a34f4bd975193,1
224
+ np.float64,0xbf50000000000000,0x3feff800ffeaac00,1
225
+ np.float64,0xbe10000000000000,0x3fefffffff800000,1
226
+ np.float64,0xbcd0000000000000,0x3feffffffffffff8,1
227
+ np.float64,0xc055d589e0000000,0x38100004bf94f63e,1
228
+ np.float64,0xc055d58a00000000,0x380ffff97f292ce8,1
229
+ np.float64,0xbfd962d900000000,0x3fe585a4b00110e1,1
230
+ np.float64,0x3ff4bed280000000,0x400d411e7a58a303,1
231
+ np.float64,0x3fff0b3620000000,0x401bd7737ffffcf3,1
232
+ np.float64,0x3ff0000000000000,0x4005bf0a8b145769,1
233
+ np.float64,0x3eb0000000000000,0x3ff0000100000800,1
234
+ np.float64,0x3d70000000000000,0x3ff0000000001000,1
235
+ np.float64,0x40862e42e0000000,0x7fefff841808287f,1
236
+ np.float64,0x40862e42fefa39ef,0x7fefffffffffff2a,1
237
+ np.float64,0x40862e0000000000,0x7feef85a11e73f2d,1
238
+ np.float64,0x4000000000000000,0x401d8e64b8d4ddae,1
239
+ np.float64,0x4009242920000000,0x40372a52c383a488,1
240
+ np.float64,0x4049000000000000,0x44719103e4080b45,1
241
+ np.float64,0x4008000000000000,0x403415e5bf6fb106,1
242
+ np.float64,0x3f50000000000000,0x3ff00400800aab55,1
243
+ np.float64,0x3e10000000000000,0x3ff0000000400000,1
244
+ np.float64,0x3cd0000000000000,0x3ff0000000000004,1
245
+ np.float64,0x40562e40a0000000,0x47effed088821c3f,1
246
+ np.float64,0x40562e42e0000000,0x47effff082e6c7ff,1
247
+ np.float64,0x40562e4300000000,0x47f00000417184b8,1
248
+ np.float64,0x3fe8000000000000,0x4000ef9db467dcf8,1
249
+ np.float64,0x402b12e8d4f33589,0x412718f68c71a6fe,1
250
+ np.float64,0x402b12e8d4f3358a,0x412718f68c71a70a,1
251
+ np.float64,0x402b12e8c0000000,0x412718f59a7f472e,1
252
+ np.float64,0x402b12e8e0000000,0x412718f70c0eac62,1
253
+ ##use 1th entry
254
+ np.float64,0x40631659AE147CB4,0x4db3a95025a4890f,1
255
+ np.float64,0xC061B87D2E85A4E2,0x332640c8e2de2c51,1
256
+ np.float64,0x405A4A50BE243AF4,0x496a45e4b7f0339a,1
257
+ np.float64,0xC0839898B98EC5C6,0x0764027828830df4,1
258
+ #use 2th entry
259
+ np.float64,0xC072428C44B6537C,0x2596ade838b96f3e,1
260
+ np.float64,0xC053057C5E1AE9BF,0x3912c8fad18fdadf,1
261
+ np.float64,0x407E89C78328BAA3,0x6bfe35d5b9a1a194,1
262
+ np.float64,0x4083501B6DD87112,0x77a855503a38924e,1
263
+ #use 3th entry
264
+ np.float64,0x40832C6195F24540,0x7741e73c80e5eb2f,1
265
+ np.float64,0xC083D4CD557C2EC9,0x06b61727c2d2508e,1
266
+ np.float64,0x400C48F5F67C99BD,0x404128820f02b92e,1
267
+ np.float64,0x4056E36D9B2DF26A,0x4830f52ff34a8242,1
268
+ #use 4th entry
269
+ np.float64,0x4080FF700D8CBD06,0x70fa70df9bc30f20,1
270
+ np.float64,0x406C276D39E53328,0x543eb8e20a8f4741,1
271
+ np.float64,0xC070D6159BBD8716,0x27a4a0548c904a75,1
272
+ np.float64,0xC052EBCF8ED61F83,0x391c0e92368d15e4,1
273
+ #use 5th entry
274
+ np.float64,0xC061F892A8AC5FBE,0x32f807a89efd3869,1
275
+ np.float64,0x4021D885D2DBA085,0x40bd4dc86d3e3270,1
276
+ np.float64,0x40767AEEEE7D4FCF,0x605e22851ee2afb7,1
277
+ np.float64,0xC0757C5D75D08C80,0x20f0751599b992a2,1
278
+ #use 6th entry
279
+ np.float64,0x405ACF7A284C4CE3,0x499a4e0b7a27027c,1
280
+ np.float64,0xC085A6C9E80D7AF5,0x0175914009d62ec2,1
281
+ np.float64,0xC07E4C02F86F1DAE,0x1439269b29a9231e,1
282
+ np.float64,0x4080D80F9691CC87,0x7088a6cdafb041de,1
283
+ #use 7th entry
284
+ np.float64,0x407FDFD84FBA0AC1,0x6deb1ae6f9bc4767,1
285
+ np.float64,0x40630C06A1A2213D,0x4dac7a9d51a838b7,1
286
+ np.float64,0x40685FDB30BB8B4F,0x5183f5cc2cac9e79,1
287
+ np.float64,0x408045A2208F77F4,0x6ee299e08e2aa2f0,1
288
+ #use 8th entry
289
+ np.float64,0xC08104E391F5078B,0x0ed397b7cbfbd230,1
290
+ np.float64,0xC031501CAEFAE395,0x3e6040fd1ea35085,1
291
+ np.float64,0xC079229124F6247C,0x1babf4f923306b1e,1
292
+ np.float64,0x407FB65F44600435,0x6db03beaf2512b8a,1
293
+ #use 9th entry
294
+ np.float64,0xC07EDEE8E8E8A5AC,0x136536cec9cbef48,1
295
+ np.float64,0x4072BB4086099A14,0x5af4d3c3008b56cc,1
296
+ np.float64,0x4050442A2EC42CB4,0x45cd393bd8fad357,1
297
+ np.float64,0xC06AC28FB3D419B4,0x2ca1b9d3437df85f,1
298
+ #use 10th entry
299
+ np.float64,0x40567FC6F0A68076,0x480c977fd5f3122e,1
300
+ np.float64,0x40620A2F7EDA59BB,0x4cf278e96f4ce4d7,1
301
+ np.float64,0xC085044707CD557C,0x034aad6c968a045a,1
302
+ np.float64,0xC07374EA5AC516AA,0x23dd6afdc03e83d5,1
303
+ #use 11th entry
304
+ np.float64,0x4073CC95332619C1,0x5c804b1498bbaa54,1
305
+ np.float64,0xC0799FEBBE257F31,0x1af6a954c43b87d2,1
306
+ np.float64,0x408159F19EA424F6,0x7200858efcbfc84d,1
307
+ np.float64,0x404A81F6F24C0792,0x44b664a07ce5bbfa,1
308
+ #use 12th entry
309
+ np.float64,0x40295FF1EFB9A741,0x4113c0e74c52d7b0,1
310
+ np.float64,0x4073975F4CC411DA,0x5c32be40b4fec2c1,1
311
+ np.float64,0x406E9DE52E82A77E,0x56049c9a3f1ae089,1
312
+ np.float64,0x40748C2F52560ED9,0x5d93bc14fd4cd23b,1
313
+ #use 13th entry
314
+ np.float64,0x4062A553CDC4D04C,0x4d6266bfde301318,1
315
+ np.float64,0xC079EC1D63598AB7,0x1a88cb184dab224c,1
316
+ np.float64,0xC0725C1CB3167427,0x25725b46f8a081f6,1
317
+ np.float64,0x407888771D9B45F9,0x6353b1ec6bd7ce80,1
318
+ #use 14th entry
319
+ np.float64,0xC082CBA03AA89807,0x09b383723831ce56,1
320
+ np.float64,0xC083A8961BB67DD7,0x0735b118d5275552,1
321
+ np.float64,0xC076BC6ECA12E7E3,0x1f2222679eaef615,1
322
+ np.float64,0xC072752503AA1A5B,0x254eb832242c77e1,1
323
+ #use 15th entry
324
+ np.float64,0xC058800792125DEC,0x371882372a0b48d4,1
325
+ np.float64,0x4082909FD863E81C,0x7580d5f386920142,1
326
+ np.float64,0xC071616F8FB534F9,0x26dbe20ef64a412b,1
327
+ np.float64,0x406D1AB571CAA747,0x54ee0d55cb38ac20,1
328
+ #use 16th entry
329
+ np.float64,0x406956428B7DAD09,0x52358682c271237f,1
330
+ np.float64,0xC07EFC2D9D17B621,0x133b3e77c27a4d45,1
331
+ np.float64,0xC08469BAC5BA3CCA,0x050863e5f42cc52f,1
332
+ np.float64,0x407189D9626386A5,0x593cb1c0b3b5c1d3,1
333
+ #use 17th entry
334
+ np.float64,0x4077E652E3DEB8C6,0x6269a10dcbd3c752,1
335
+ np.float64,0x407674C97DB06878,0x605485dcc2426ec2,1
336
+ np.float64,0xC07CE9969CF4268D,0x16386cf8996669f2,1
337
+ np.float64,0x40780EE32D5847C4,0x62a436bd1abe108d,1
338
+ #use 18th entry
339
+ np.float64,0x4076C3AA5E1E8DA1,0x60c62f56a5e72e24,1
340
+ np.float64,0xC0730AFC7239B9BE,0x24758ead095cec1e,1
341
+ np.float64,0xC085CC2B9C420DDB,0x0109cdaa2e5694c1,1
342
+ np.float64,0x406D0765CB6D7AA4,0x54e06f8dd91bd945,1
343
+ #use 19th entry
344
+ np.float64,0xC082D011F3B495E7,0x09a6647661d279c2,1
345
+ np.float64,0xC072826AF8F6AFBC,0x253acd3cd224507e,1
346
+ np.float64,0x404EB9C4810CEA09,0x457933dbf07e8133,1
347
+ np.float64,0x408284FBC97C58CE,0x755f6eb234aa4b98,1
348
+ #use 20th entry
349
+ np.float64,0x40856008CF6EDC63,0x7d9c0b3c03f4f73c,1
350
+ np.float64,0xC077CB2E9F013B17,0x1d9b3d3a166a55db,1
351
+ np.float64,0xC0479CA3C20AD057,0x3bad40e081555b99,1
352
+ np.float64,0x40844CD31107332A,0x7a821d70aea478e2,1
353
+ #use 21th entry
354
+ np.float64,0xC07C8FCC0BFCC844,0x16ba1cc8c539d19b,1
355
+ np.float64,0xC085C4E9A3ABA488,0x011ff675ba1a2217,1
356
+ np.float64,0x4074D538B32966E5,0x5dfd9d78043c6ad9,1
357
+ np.float64,0xC0630CA16902AD46,0x3231a446074cede6,1
358
+ #use 22th entry
359
+ np.float64,0xC06C826733D7D0B7,0x2b5f1078314d41e1,1
360
+ np.float64,0xC0520DF55B2B907F,0x396c13a6ce8e833e,1
361
+ np.float64,0xC080712072B0F437,0x107eae02d11d98ea,1
362
+ np.float64,0x40528A6150E19EFB,0x469fdabda02228c5,1
363
+ #use 23th entry
364
+ np.float64,0xC07B1D74B6586451,0x18d1253883ae3b48,1
365
+ np.float64,0x4045AFD7867DAEC0,0x43d7d634fc4c5d98,1
366
+ np.float64,0xC07A08B91F9ED3E2,0x1a60973e6397fc37,1
367
+ np.float64,0x407B3ECF0AE21C8C,0x673e03e9d98d7235,1
368
+ #use 24th entry
369
+ np.float64,0xC078AEB6F30CEABF,0x1c530b93ab54a1b3,1
370
+ np.float64,0x4084495006A41672,0x7a775b6dc7e63064,1
371
+ np.float64,0x40830B1C0EBF95DD,0x76e1e6eed77cfb89,1
372
+ np.float64,0x407D93E8F33D8470,0x6a9adbc9e1e4f1e5,1
373
+ #use 25th entry
374
+ np.float64,0x4066B11A09EFD9E8,0x504dd528065c28a7,1
375
+ np.float64,0x408545823723AEEB,0x7d504a9b1844f594,1
376
+ np.float64,0xC068C711F2CA3362,0x2e104f3496ea118e,1
377
+ np.float64,0x407F317FCC3CA873,0x6cf0732c9948ebf4,1
378
+ #use 26th entry
379
+ np.float64,0x407AFB3EBA2ED50F,0x66dc28a129c868d5,1
380
+ np.float64,0xC075377037708ADE,0x21531a329f3d793e,1
381
+ np.float64,0xC07C30066A1F3246,0x174448baa16ded2b,1
382
+ np.float64,0xC06689A75DE2ABD3,0x2fad70662fae230b,1
383
+ #use 27th entry
384
+ np.float64,0x4081514E9FCCF1E0,0x71e673b9efd15f44,1
385
+ np.float64,0xC0762C710AF68460,0x1ff1ed7d8947fe43,1
386
+ np.float64,0xC0468102FF70D9C4,0x3be0c3a8ff3419a3,1
387
+ np.float64,0xC07EA4CEEF02A83E,0x13b908f085102c61,1
388
+ #use 28th entry
389
+ np.float64,0xC06290B04AE823C4,0x328a83da3c2e3351,1
390
+ np.float64,0xC0770EB1D1C395FB,0x1eab281c1f1db5fe,1
391
+ np.float64,0xC06F5D4D838A5BAE,0x29500ea32fb474ea,1
392
+ np.float64,0x40723B3133B54C5D,0x5a3c82c7c3a2b848,1
393
+ #use 29th entry
394
+ np.float64,0x4085E6454CE3B4AA,0x7f20319b9638d06a,1
395
+ np.float64,0x408389F2A0585D4B,0x7850667c58aab3d0,1
396
+ np.float64,0xC0382798F9C8AE69,0x3dc1c79fe8739d6d,1
397
+ np.float64,0xC08299D827608418,0x0a4335f76cdbaeb5,1
398
+ #use 30th entry
399
+ np.float64,0xC06F3DED43301BF1,0x2965670ae46750a8,1
400
+ np.float64,0xC070CAF6BDD577D9,0x27b4aa4ffdd29981,1
401
+ np.float64,0x4078529AD4B2D9F2,0x6305c12755d5e0a6,1
402
+ np.float64,0xC055B14E75A31B96,0x381c2eda6d111e5d,1
403
+ #use 31th entry
404
+ np.float64,0x407B13EE414FA931,0x6700772c7544564d,1
405
+ np.float64,0x407EAFDE9DE3EC54,0x6c346a0e49724a3c,1
406
+ np.float64,0xC08362F398B9530D,0x07ffeddbadf980cb,1
407
+ np.float64,0x407E865CDD9EEB86,0x6bf866cac5e0d126,1
408
+ #use 32th entry
409
+ np.float64,0x407FB62DBC794C86,0x6db009f708ac62cb,1
410
+ np.float64,0xC063D0BAA68CDDDE,0x31a3b2a51ce50430,1
411
+ np.float64,0xC05E7706A2231394,0x34f24bead6fab5c9,1
412
+ np.float64,0x4083E3A06FDE444E,0x79527b7a386d1937,1
parrot/lib/python3.10/site-packages/numpy/_core/tests/data/umath-validation-set-log10.csv ADDED
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parrot/lib/python3.10/site-packages/numpy/linalg/_umath_linalg.cpython-310-x86_64-linux-gnu.so ADDED
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parrot/lib/python3.10/site-packages/numpy/ma/__pycache__/core.cpython-310.pyc ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2d2f87b72fe874f623b81126cab6b7de673192c9390704977e939c83518c304f
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videollama2/lib/python3.10/site-packages/torch/include/c10/util/BFloat16-math.h ADDED
@@ -0,0 +1,289 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <c10/util/BFloat16.h>
4
+ #include <c10/util/Half.h>
5
+ #include <c10/util/math_compat.h>
6
+
7
+ C10_CLANG_DIAGNOSTIC_PUSH()
8
+ #if C10_CLANG_HAS_WARNING("-Wimplicit-float-conversion")
9
+ C10_CLANG_DIAGNOSTIC_IGNORE("-Wimplicit-float-conversion")
10
+ #endif
11
+
12
+ namespace std {
13
+
14
+ template <typename T>
15
+ struct is_reduced_floating_point
16
+ : std::integral_constant<
17
+ bool,
18
+ std::is_same<T, c10::Half>::value ||
19
+ std::is_same<T, c10::BFloat16>::value> {};
20
+
21
+ template <typename T>
22
+ constexpr bool is_reduced_floating_point_v =
23
+ is_reduced_floating_point<T>::value;
24
+
25
+ template <
26
+ typename T,
27
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
28
+ inline T acos(T a) {
29
+ return std::acos(float(a));
30
+ }
31
+ template <
32
+ typename T,
33
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
34
+ inline T asin(T a) {
35
+ return std::asin(float(a));
36
+ }
37
+ template <
38
+ typename T,
39
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
40
+ inline T atan(T a) {
41
+ return std::atan(float(a));
42
+ }
43
+ template <
44
+ typename T,
45
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
46
+ inline T atanh(T a) {
47
+ return std::atanh(float(a));
48
+ }
49
+ template <
50
+ typename T,
51
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
52
+ inline T erf(T a) {
53
+ return std::erf(float(a));
54
+ }
55
+ template <
56
+ typename T,
57
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
58
+ inline T erfc(T a) {
59
+ return std::erfc(float(a));
60
+ }
61
+ template <
62
+ typename T,
63
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
64
+ inline T exp(T a) {
65
+ return std::exp(float(a));
66
+ }
67
+ template <
68
+ typename T,
69
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
70
+ inline T expm1(T a) {
71
+ return std::expm1(float(a));
72
+ }
73
+ template <
74
+ typename T,
75
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
76
+ inline T log(T a) {
77
+ return std::log(float(a));
78
+ }
79
+ template <
80
+ typename T,
81
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
82
+ inline T log10(T a) {
83
+ return std::log10(float(a));
84
+ }
85
+ template <
86
+ typename T,
87
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
88
+ inline T log1p(T a) {
89
+ return std::log1p(float(a));
90
+ }
91
+ template <
92
+ typename T,
93
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
94
+ inline T log2(T a) {
95
+ return std::log2(float(a));
96
+ }
97
+ template <
98
+ typename T,
99
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
100
+ inline T ceil(T a) {
101
+ return std::ceil(float(a));
102
+ }
103
+ template <
104
+ typename T,
105
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
106
+ inline T cos(T a) {
107
+ return std::cos(float(a));
108
+ }
109
+ template <
110
+ typename T,
111
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
112
+ inline T floor(T a) {
113
+ return std::floor(float(a));
114
+ }
115
+ template <
116
+ typename T,
117
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
118
+ inline T nearbyint(T a) {
119
+ return std::nearbyint(float(a));
120
+ }
121
+ template <
122
+ typename T,
123
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
124
+ inline T sin(T a) {
125
+ return std::sin(float(a));
126
+ }
127
+ template <
128
+ typename T,
129
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
130
+ inline T tan(T a) {
131
+ return std::tan(float(a));
132
+ }
133
+ template <
134
+ typename T,
135
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
136
+ inline T sinh(T a) {
137
+ return std::sinh(float(a));
138
+ }
139
+ template <
140
+ typename T,
141
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
142
+ inline T cosh(T a) {
143
+ return std::cosh(float(a));
144
+ }
145
+ template <
146
+ typename T,
147
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
148
+ inline T tanh(T a) {
149
+ return std::tanh(float(a));
150
+ }
151
+ template <
152
+ typename T,
153
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
154
+ inline T trunc(T a) {
155
+ return std::trunc(float(a));
156
+ }
157
+ template <
158
+ typename T,
159
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
160
+ inline T lgamma(T a) {
161
+ return std::lgamma(float(a));
162
+ }
163
+ template <
164
+ typename T,
165
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
166
+ inline T sqrt(T a) {
167
+ return std::sqrt(float(a));
168
+ }
169
+ template <
170
+ typename T,
171
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
172
+ inline T rsqrt(T a) {
173
+ return 1.0 / std::sqrt(float(a));
174
+ }
175
+ template <
176
+ typename T,
177
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
178
+ inline T abs(T a) {
179
+ return std::abs(float(a));
180
+ }
181
+ #if defined(_MSC_VER) && defined(__CUDACC__)
182
+ template <
183
+ typename T,
184
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
185
+ inline T pow(T a, double b) {
186
+ return std::pow(float(a), float(b));
187
+ }
188
+ #else
189
+ template <
190
+ typename T,
191
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
192
+ inline T pow(T a, double b) {
193
+ return std::pow(float(a), b);
194
+ }
195
+ #endif
196
+ template <
197
+ typename T,
198
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
199
+ inline T pow(T a, T b) {
200
+ return std::pow(float(a), float(b));
201
+ }
202
+ template <
203
+ typename T,
204
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
205
+ inline T fmod(T a, T b) {
206
+ return std::fmod(float(a), float(b));
207
+ }
208
+
209
+ /*
210
+ The following function is inspired from the implementation in `musl`
211
+ Link to License: https://git.musl-libc.org/cgit/musl/tree/COPYRIGHT
212
+ ----------------------------------------------------------------------
213
+ Copyright © 2005-2020 Rich Felker, et al.
214
+
215
+ Permission is hereby granted, free of charge, to any person obtaining
216
+ a copy of this software and associated documentation files (the
217
+ "Software"), to deal in the Software without restriction, including
218
+ without limitation the rights to use, copy, modify, merge, publish,
219
+ distribute, sublicense, and/or sell copies of the Software, and to
220
+ permit persons to whom the Software is furnished to do so, subject to
221
+ the following conditions:
222
+
223
+ The above copyright notice and this permission notice shall be
224
+ included in all copies or substantial portions of the Software.
225
+
226
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
227
+ EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
228
+ MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
229
+ IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
230
+ CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
231
+ TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
232
+ SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
233
+ ----------------------------------------------------------------------
234
+ */
235
+ template <
236
+ typename T,
237
+ typename std::enable_if_t<is_reduced_floating_point_v<T>, int> = 0>
238
+ C10_HOST_DEVICE inline T nextafter(T from, T to) {
239
+ // Reference:
240
+ // https://git.musl-libc.org/cgit/musl/tree/src/math/nextafter.c
241
+ using int_repr_t = uint16_t;
242
+ using float_t = T;
243
+ constexpr uint8_t bits = 16;
244
+ union {
245
+ float_t f;
246
+ int_repr_t i;
247
+ } ufrom = {from}, uto = {to};
248
+
249
+ // get a mask to get the sign bit i.e. MSB
250
+ int_repr_t sign_mask = int_repr_t{1} << (bits - 1);
251
+
252
+ // short-circuit: if either is NaN, return NaN
253
+ if (from != from || to != to) {
254
+ return from + to;
255
+ }
256
+
257
+ // short-circuit: if they are exactly the same.
258
+ if (ufrom.i == uto.i) {
259
+ return from;
260
+ }
261
+
262
+ // mask the sign-bit to zero i.e. positive
263
+ // equivalent to abs(x)
264
+ int_repr_t abs_from = ufrom.i & ~sign_mask;
265
+ int_repr_t abs_to = uto.i & ~sign_mask;
266
+ if (abs_from == 0) {
267
+ // if both are zero but with different sign,
268
+ // preserve the sign of `to`.
269
+ if (abs_to == 0) {
270
+ return to;
271
+ }
272
+ // smallest subnormal with sign of `to`.
273
+ ufrom.i = (uto.i & sign_mask) | int_repr_t{1};
274
+ return ufrom.f;
275
+ }
276
+
277
+ // if abs(from) > abs(to) or sign(from) != sign(to)
278
+ if (abs_from > abs_to || ((ufrom.i ^ uto.i) & sign_mask)) {
279
+ ufrom.i--;
280
+ } else {
281
+ ufrom.i++;
282
+ }
283
+
284
+ return ufrom.f;
285
+ }
286
+
287
+ } // namespace std
288
+
289
+ C10_CLANG_DIAGNOSTIC_POP()
videollama2/lib/python3.10/site-packages/torch/include/c10/util/C++17.h ADDED
@@ -0,0 +1,239 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+ #ifndef C10_UTIL_CPP17_H_
3
+ #define C10_UTIL_CPP17_H_
4
+
5
+ #include <c10/macros/Macros.h>
6
+ #include <cstdlib>
7
+ #include <functional>
8
+ #include <memory>
9
+ #include <sstream>
10
+ #include <string>
11
+ #include <type_traits>
12
+ #include <utility>
13
+
14
+ #if !defined(__clang__) && !defined(_MSC_VER) && defined(__GNUC__) && \
15
+ __GNUC__ < 5
16
+ #error \
17
+ "You're trying to build PyTorch with a too old version of GCC. We need GCC 5 or later."
18
+ #endif
19
+
20
+ #if defined(__clang__) && __clang_major__ < 4
21
+ #error \
22
+ "You're trying to build PyTorch with a too old version of Clang. We need Clang 4 or later."
23
+ #endif
24
+
25
+ #if (defined(_MSC_VER) && (!defined(_MSVC_LANG) || _MSVC_LANG < 201703L)) || \
26
+ (!defined(_MSC_VER) && __cplusplus < 201703L)
27
+ #error You need C++17 to compile PyTorch
28
+ #endif
29
+
30
+ #if defined(_WIN32) && (defined(min) || defined(max))
31
+ #error Macro clash with min and max -- define NOMINMAX when compiling your program on Windows
32
+ #endif
33
+
34
+ /*
35
+ * This header adds some polyfills with C++17 functionality
36
+ */
37
+
38
+ namespace c10 {
39
+
40
+ // in c++17 std::result_of has been superceded by std::invoke_result. Since
41
+ // c++20, std::result_of is removed.
42
+ template <typename F, typename... args>
43
+ #if defined(__cpp_lib_is_invocable) && __cpp_lib_is_invocable >= 201703L
44
+ using invoke_result = typename std::invoke_result<F, args...>;
45
+ #else
46
+ using invoke_result = typename std::result_of<F && (args && ...)>;
47
+ #endif
48
+
49
+ template <typename F, typename... args>
50
+ using invoke_result_t = typename invoke_result<F, args...>::type;
51
+
52
+ // std::is_pod is deprecated in C++20, std::is_standard_layout and
53
+ // std::is_trivial are introduced in C++11, std::conjunction has been introduced
54
+ // in C++17.
55
+ template <typename T>
56
+ #if defined(__cpp_lib_logical_traits) && __cpp_lib_logical_traits >= 201510L
57
+ using is_pod = std::conjunction<std::is_standard_layout<T>, std::is_trivial<T>>;
58
+ #else
59
+ using is_pod = std::is_pod<T>;
60
+ #endif
61
+
62
+ template <typename T>
63
+ constexpr bool is_pod_v = is_pod<T>::value;
64
+
65
+ namespace guts {
66
+
67
+ template <typename Base, typename Child, typename... Args>
68
+ typename std::enable_if<
69
+ !std::is_array<Base>::value && !std::is_array<Child>::value &&
70
+ std::is_base_of<Base, Child>::value,
71
+ std::unique_ptr<Base>>::type
72
+ make_unique_base(Args&&... args) {
73
+ return std::unique_ptr<Base>(new Child(std::forward<Args>(args)...));
74
+ }
75
+
76
+ #if defined(__cpp_lib_logical_traits) && !(defined(_MSC_VER) && _MSC_VER < 1920)
77
+
78
+ template <class... B>
79
+ using conjunction = std::conjunction<B...>;
80
+ template <class... B>
81
+ using disjunction = std::disjunction<B...>;
82
+ template <bool B>
83
+ using bool_constant = std::bool_constant<B>;
84
+ template <class B>
85
+ using negation = std::negation<B>;
86
+
87
+ #else
88
+
89
+ // Implementation taken from http://en.cppreference.com/w/cpp/types/conjunction
90
+ template <class...>
91
+ struct conjunction : std::true_type {};
92
+ template <class B1>
93
+ struct conjunction<B1> : B1 {};
94
+ template <class B1, class... Bn>
95
+ struct conjunction<B1, Bn...>
96
+ : std::conditional_t<bool(B1::value), conjunction<Bn...>, B1> {};
97
+
98
+ // Implementation taken from http://en.cppreference.com/w/cpp/types/disjunction
99
+ template <class...>
100
+ struct disjunction : std::false_type {};
101
+ template <class B1>
102
+ struct disjunction<B1> : B1 {};
103
+ template <class B1, class... Bn>
104
+ struct disjunction<B1, Bn...>
105
+ : std::conditional_t<bool(B1::value), B1, disjunction<Bn...>> {};
106
+
107
+ // Implementation taken from
108
+ // http://en.cppreference.com/w/cpp/types/integral_constant
109
+ template <bool B>
110
+ using bool_constant = std::integral_constant<bool, B>;
111
+
112
+ // Implementation taken from http://en.cppreference.com/w/cpp/types/negation
113
+ template <class B>
114
+ struct negation : bool_constant<!bool(B::value)> {};
115
+
116
+ #endif
117
+
118
+ #ifdef __cpp_lib_void_t
119
+
120
+ template <class T>
121
+ using void_t = std::void_t<T>;
122
+
123
+ #else
124
+
125
+ // Implementation taken from http://en.cppreference.com/w/cpp/types/void_t
126
+ // (it takes CWG1558 into account and also works for older compilers)
127
+ template <typename... Ts>
128
+ struct make_void {
129
+ typedef void type;
130
+ };
131
+ template <typename... Ts>
132
+ using void_t = typename make_void<Ts...>::type;
133
+
134
+ #endif
135
+
136
+ #if defined(USE_ROCM)
137
+ // rocm doesn't like the C10_HOST_DEVICE
138
+ #define CUDA_HOST_DEVICE
139
+ #else
140
+ #define CUDA_HOST_DEVICE C10_HOST_DEVICE
141
+ #endif
142
+
143
+ #if defined(__cpp_lib_apply) && !defined(__CUDA_ARCH__)
144
+
145
+ template <class F, class Tuple>
146
+ CUDA_HOST_DEVICE inline constexpr decltype(auto) apply(F&& f, Tuple&& t) {
147
+ return std::apply(std::forward<F>(f), std::forward<Tuple>(t));
148
+ }
149
+
150
+ #else
151
+
152
+ // Implementation from http://en.cppreference.com/w/cpp/utility/apply (but
153
+ // modified)
154
+ // TODO This is an incomplete implementation of std::apply, not working for
155
+ // member functions.
156
+ namespace detail {
157
+ template <class F, class Tuple, std::size_t... INDEX>
158
+ #if defined(_MSC_VER)
159
+ // MSVC has a problem with the decltype() return type, but it also doesn't need
160
+ // it
161
+ C10_HOST_DEVICE constexpr auto apply_impl(
162
+ F&& f,
163
+ Tuple&& t,
164
+ std::index_sequence<INDEX...>)
165
+ #else
166
+ // GCC/Clang need the decltype() return type
167
+ CUDA_HOST_DEVICE constexpr decltype(auto) apply_impl(
168
+ F&& f,
169
+ Tuple&& t,
170
+ std::index_sequence<INDEX...>)
171
+ #endif
172
+ {
173
+ return std::forward<F>(f)(std::get<INDEX>(std::forward<Tuple>(t))...);
174
+ }
175
+ } // namespace detail
176
+
177
+ template <class F, class Tuple>
178
+ CUDA_HOST_DEVICE constexpr decltype(auto) apply(F&& f, Tuple&& t) {
179
+ return detail::apply_impl(
180
+ std::forward<F>(f),
181
+ std::forward<Tuple>(t),
182
+ std::make_index_sequence<
183
+ std::tuple_size<std::remove_reference_t<Tuple>>::value>{});
184
+ }
185
+
186
+ #endif
187
+
188
+ #undef CUDA_HOST_DEVICE
189
+
190
+ template <typename Functor, typename... Args>
191
+ typename std::enable_if<
192
+ std::is_member_pointer<typename std::decay<Functor>::type>::value,
193
+ typename c10::invoke_result_t<Functor, Args...>>::type
194
+ invoke(Functor&& f, Args&&... args) {
195
+ return std::mem_fn(std::forward<Functor>(f))(std::forward<Args>(args)...);
196
+ }
197
+
198
+ template <typename Functor, typename... Args>
199
+ typename std::enable_if<
200
+ !std::is_member_pointer<typename std::decay<Functor>::type>::value,
201
+ typename c10::invoke_result_t<Functor, Args...>>::type
202
+ invoke(Functor&& f, Args&&... args) {
203
+ return std::forward<Functor>(f)(std::forward<Args>(args)...);
204
+ }
205
+
206
+ namespace detail {
207
+ struct _identity final {
208
+ template <class T>
209
+ using type_identity = T;
210
+
211
+ template <class T>
212
+ decltype(auto) operator()(T&& arg) {
213
+ return std::forward<T>(arg);
214
+ }
215
+ };
216
+
217
+ template <class Func, class Enable = void>
218
+ struct function_takes_identity_argument : std::false_type {};
219
+ #if defined(_MSC_VER)
220
+ // For some weird reason, MSVC shows a compiler error when using guts::void_t
221
+ // instead of std::void_t. But we're only building on MSVC versions that have
222
+ // std::void_t, so let's just use that one.
223
+ template <class Func>
224
+ struct function_takes_identity_argument<
225
+ Func,
226
+ std::void_t<decltype(std::declval<Func>()(_identity()))>> : std::true_type {
227
+ };
228
+ #else
229
+ template <class Func>
230
+ struct function_takes_identity_argument<
231
+ Func,
232
+ void_t<decltype(std::declval<Func>()(_identity()))>> : std::true_type {};
233
+ #endif
234
+ } // namespace detail
235
+
236
+ } // namespace guts
237
+ } // namespace c10
238
+
239
+ #endif // C10_UTIL_CPP17_H_
videollama2/lib/python3.10/site-packages/torch/include/c10/util/Float8_e4m3fn-inl.h ADDED
@@ -0,0 +1,274 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <c10/macros/Macros.h>
4
+ #include <cstring>
5
+ #include <limits>
6
+
7
+ C10_CLANG_DIAGNOSTIC_PUSH()
8
+ #if C10_CLANG_HAS_WARNING("-Wimplicit-int-float-conversion")
9
+ C10_CLANG_DIAGNOSTIC_IGNORE("-Wimplicit-int-float-conversion")
10
+ #endif
11
+
12
+ namespace c10 {
13
+
14
+ /// Constructors
15
+
16
+ inline C10_HOST_DEVICE Float8_e4m3fn::Float8_e4m3fn(float value)
17
+ : x(detail::fp8e4m3fn_from_fp32_value(value)) {}
18
+
19
+ /// Implicit conversions
20
+
21
+ inline C10_HOST_DEVICE Float8_e4m3fn::operator float() const {
22
+ return detail::fp8e4m3fn_to_fp32_value(x);
23
+ }
24
+
25
+ /// Special values helper
26
+
27
+ inline C10_HOST_DEVICE bool Float8_e4m3fn::isnan() const {
28
+ return (x & 0b01111111) == 0b01111111;
29
+ }
30
+
31
+ /// Arithmetic
32
+
33
+ inline C10_HOST_DEVICE Float8_e4m3fn
34
+ operator+(const Float8_e4m3fn& a, const Float8_e4m3fn& b) {
35
+ return static_cast<float>(a) + static_cast<float>(b);
36
+ }
37
+
38
+ inline C10_HOST_DEVICE Float8_e4m3fn
39
+ operator-(const Float8_e4m3fn& a, const Float8_e4m3fn& b) {
40
+ return static_cast<float>(a) - static_cast<float>(b);
41
+ }
42
+
43
+ inline C10_HOST_DEVICE Float8_e4m3fn
44
+ operator*(const Float8_e4m3fn& a, const Float8_e4m3fn& b) {
45
+ return static_cast<float>(a) * static_cast<float>(b);
46
+ }
47
+
48
+ inline C10_HOST_DEVICE Float8_e4m3fn operator/(
49
+ const Float8_e4m3fn& a,
50
+ const Float8_e4m3fn& b) __ubsan_ignore_float_divide_by_zero__ {
51
+ return static_cast<float>(a) / static_cast<float>(b);
52
+ }
53
+
54
+ inline C10_HOST_DEVICE Float8_e4m3fn operator-(const Float8_e4m3fn& a) {
55
+ return -static_cast<float>(a);
56
+ }
57
+
58
+ inline C10_HOST_DEVICE Float8_e4m3fn& operator+=(
59
+ Float8_e4m3fn& a,
60
+ const Float8_e4m3fn& b) {
61
+ a = a + b;
62
+ return a;
63
+ }
64
+
65
+ inline C10_HOST_DEVICE Float8_e4m3fn& operator-=(
66
+ Float8_e4m3fn& a,
67
+ const Float8_e4m3fn& b) {
68
+ a = a - b;
69
+ return a;
70
+ }
71
+
72
+ inline C10_HOST_DEVICE Float8_e4m3fn& operator*=(
73
+ Float8_e4m3fn& a,
74
+ const Float8_e4m3fn& b) {
75
+ a = a * b;
76
+ return a;
77
+ }
78
+
79
+ inline C10_HOST_DEVICE Float8_e4m3fn& operator/=(
80
+ Float8_e4m3fn& a,
81
+ const Float8_e4m3fn& b) {
82
+ a = a / b;
83
+ return a;
84
+ }
85
+
86
+ /// Arithmetic with floats
87
+
88
+ inline C10_HOST_DEVICE float operator+(Float8_e4m3fn a, float b) {
89
+ return static_cast<float>(a) + b;
90
+ }
91
+ inline C10_HOST_DEVICE float operator-(Float8_e4m3fn a, float b) {
92
+ return static_cast<float>(a) - b;
93
+ }
94
+ inline C10_HOST_DEVICE float operator*(Float8_e4m3fn a, float b) {
95
+ return static_cast<float>(a) * b;
96
+ }
97
+ inline C10_HOST_DEVICE float operator/(Float8_e4m3fn a, float b)
98
+ __ubsan_ignore_float_divide_by_zero__ {
99
+ return static_cast<float>(a) / b;
100
+ }
101
+
102
+ inline C10_HOST_DEVICE float operator+(float a, Float8_e4m3fn b) {
103
+ return a + static_cast<float>(b);
104
+ }
105
+ inline C10_HOST_DEVICE float operator-(float a, Float8_e4m3fn b) {
106
+ return a - static_cast<float>(b);
107
+ }
108
+ inline C10_HOST_DEVICE float operator*(float a, Float8_e4m3fn b) {
109
+ return a * static_cast<float>(b);
110
+ }
111
+ inline C10_HOST_DEVICE float operator/(float a, Float8_e4m3fn b)
112
+ __ubsan_ignore_float_divide_by_zero__ {
113
+ return a / static_cast<float>(b);
114
+ }
115
+
116
+ inline C10_HOST_DEVICE float& operator+=(float& a, const Float8_e4m3fn& b) {
117
+ return a += static_cast<float>(b);
118
+ }
119
+ inline C10_HOST_DEVICE float& operator-=(float& a, const Float8_e4m3fn& b) {
120
+ return a -= static_cast<float>(b);
121
+ }
122
+ inline C10_HOST_DEVICE float& operator*=(float& a, const Float8_e4m3fn& b) {
123
+ return a *= static_cast<float>(b);
124
+ }
125
+ inline C10_HOST_DEVICE float& operator/=(float& a, const Float8_e4m3fn& b) {
126
+ return a /= static_cast<float>(b);
127
+ }
128
+
129
+ /// Arithmetic with doubles
130
+
131
+ inline C10_HOST_DEVICE double operator+(Float8_e4m3fn a, double b) {
132
+ return static_cast<double>(a) + b;
133
+ }
134
+ inline C10_HOST_DEVICE double operator-(Float8_e4m3fn a, double b) {
135
+ return static_cast<double>(a) - b;
136
+ }
137
+ inline C10_HOST_DEVICE double operator*(Float8_e4m3fn a, double b) {
138
+ return static_cast<double>(a) * b;
139
+ }
140
+ inline C10_HOST_DEVICE double operator/(Float8_e4m3fn a, double b)
141
+ __ubsan_ignore_float_divide_by_zero__ {
142
+ return static_cast<double>(a) / b;
143
+ }
144
+
145
+ inline C10_HOST_DEVICE double operator+(double a, Float8_e4m3fn b) {
146
+ return a + static_cast<double>(b);
147
+ }
148
+ inline C10_HOST_DEVICE double operator-(double a, Float8_e4m3fn b) {
149
+ return a - static_cast<double>(b);
150
+ }
151
+ inline C10_HOST_DEVICE double operator*(double a, Float8_e4m3fn b) {
152
+ return a * static_cast<double>(b);
153
+ }
154
+ inline C10_HOST_DEVICE double operator/(double a, Float8_e4m3fn b)
155
+ __ubsan_ignore_float_divide_by_zero__ {
156
+ return a / static_cast<double>(b);
157
+ }
158
+
159
+ /// Arithmetic with ints
160
+
161
+ inline C10_HOST_DEVICE Float8_e4m3fn operator+(Float8_e4m3fn a, int b) {
162
+ return a + static_cast<Float8_e4m3fn>(b);
163
+ }
164
+ inline C10_HOST_DEVICE Float8_e4m3fn operator-(Float8_e4m3fn a, int b) {
165
+ return a - static_cast<Float8_e4m3fn>(b);
166
+ }
167
+ inline C10_HOST_DEVICE Float8_e4m3fn operator*(Float8_e4m3fn a, int b) {
168
+ return a * static_cast<Float8_e4m3fn>(b);
169
+ }
170
+ inline C10_HOST_DEVICE Float8_e4m3fn operator/(Float8_e4m3fn a, int b) {
171
+ return a / static_cast<Float8_e4m3fn>(b);
172
+ }
173
+
174
+ inline C10_HOST_DEVICE Float8_e4m3fn operator+(int a, Float8_e4m3fn b) {
175
+ return static_cast<Float8_e4m3fn>(a) + b;
176
+ }
177
+ inline C10_HOST_DEVICE Float8_e4m3fn operator-(int a, Float8_e4m3fn b) {
178
+ return static_cast<Float8_e4m3fn>(a) - b;
179
+ }
180
+ inline C10_HOST_DEVICE Float8_e4m3fn operator*(int a, Float8_e4m3fn b) {
181
+ return static_cast<Float8_e4m3fn>(a) * b;
182
+ }
183
+ inline C10_HOST_DEVICE Float8_e4m3fn operator/(int a, Float8_e4m3fn b) {
184
+ return static_cast<Float8_e4m3fn>(a) / b;
185
+ }
186
+
187
+ //// Arithmetic with int64_t
188
+
189
+ inline C10_HOST_DEVICE Float8_e4m3fn operator+(Float8_e4m3fn a, int64_t b) {
190
+ return a + static_cast<Float8_e4m3fn>(b);
191
+ }
192
+ inline C10_HOST_DEVICE Float8_e4m3fn operator-(Float8_e4m3fn a, int64_t b) {
193
+ return a - static_cast<Float8_e4m3fn>(b);
194
+ }
195
+ inline C10_HOST_DEVICE Float8_e4m3fn operator*(Float8_e4m3fn a, int64_t b) {
196
+ return a * static_cast<Float8_e4m3fn>(b);
197
+ }
198
+ inline C10_HOST_DEVICE Float8_e4m3fn operator/(Float8_e4m3fn a, int64_t b) {
199
+ return a / static_cast<Float8_e4m3fn>(b);
200
+ }
201
+
202
+ inline C10_HOST_DEVICE Float8_e4m3fn operator+(int64_t a, Float8_e4m3fn b) {
203
+ return static_cast<Float8_e4m3fn>(a) + b;
204
+ }
205
+ inline C10_HOST_DEVICE Float8_e4m3fn operator-(int64_t a, Float8_e4m3fn b) {
206
+ return static_cast<Float8_e4m3fn>(a) - b;
207
+ }
208
+ inline C10_HOST_DEVICE Float8_e4m3fn operator*(int64_t a, Float8_e4m3fn b) {
209
+ return static_cast<Float8_e4m3fn>(a) * b;
210
+ }
211
+ inline C10_HOST_DEVICE Float8_e4m3fn operator/(int64_t a, Float8_e4m3fn b) {
212
+ return static_cast<Float8_e4m3fn>(a) / b;
213
+ }
214
+
215
+ /// NOTE: we do not define comparisons directly and instead rely on the implicit
216
+ /// conversion from c10::Float8_e4m3fn to float.
217
+
218
+ } // namespace c10
219
+
220
+ namespace std {
221
+
222
+ template <>
223
+ class numeric_limits<c10::Float8_e4m3fn> {
224
+ public:
225
+ static constexpr bool is_specialized = true;
226
+ static constexpr bool is_signed = true;
227
+ static constexpr bool is_integer = false;
228
+ static constexpr bool is_exact = false;
229
+ static constexpr bool has_infinity = false;
230
+ static constexpr bool has_quiet_NaN = true;
231
+ static constexpr bool has_signaling_NaN = false;
232
+ static constexpr auto has_denorm = true;
233
+ static constexpr auto has_denorm_loss = true;
234
+ static constexpr auto round_style = numeric_limits<float>::round_style;
235
+ static constexpr bool is_iec559 = false;
236
+ static constexpr bool is_bounded = true;
237
+ static constexpr bool is_modulo = false;
238
+ static constexpr int digits = 4;
239
+ static constexpr int digits10 = 0;
240
+ static constexpr int max_digits10 = 3;
241
+ static constexpr int radix = 2;
242
+ static constexpr int min_exponent = -5;
243
+ static constexpr int min_exponent10 = -1;
244
+ static constexpr int max_exponent = 8;
245
+ static constexpr int max_exponent10 = 2;
246
+ static constexpr auto traps = numeric_limits<float>::traps;
247
+ static constexpr auto tinyness_before = false;
248
+
249
+ static constexpr c10::Float8_e4m3fn min() {
250
+ return c10::Float8_e4m3fn(0x08, c10::Float8_e4m3fn::from_bits());
251
+ }
252
+ static constexpr c10::Float8_e4m3fn lowest() {
253
+ return c10::Float8_e4m3fn(0xFE, c10::Float8_e4m3fn::from_bits());
254
+ }
255
+ static constexpr c10::Float8_e4m3fn max() {
256
+ return c10::Float8_e4m3fn(0x7E, c10::Float8_e4m3fn::from_bits());
257
+ }
258
+ static constexpr c10::Float8_e4m3fn epsilon() {
259
+ return c10::Float8_e4m3fn(0x20, c10::Float8_e4m3fn::from_bits());
260
+ }
261
+ static constexpr c10::Float8_e4m3fn round_error() {
262
+ return c10::Float8_e4m3fn(0x30, c10::Float8_e4m3fn::from_bits());
263
+ }
264
+ static constexpr c10::Float8_e4m3fn quiet_NaN() {
265
+ return c10::Float8_e4m3fn(0x7F, c10::Float8_e4m3fn::from_bits());
266
+ }
267
+ static constexpr c10::Float8_e4m3fn denorm_min() {
268
+ return c10::Float8_e4m3fn(0x01, c10::Float8_e4m3fn::from_bits());
269
+ }
270
+ };
271
+
272
+ } // namespace std
273
+
274
+ C10_CLANG_DIAGNOSTIC_POP()
videollama2/lib/python3.10/site-packages/torch/include/c10/util/FunctionRef.h ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ //===- llvm/ADT/STLExtras.h - Useful STL related functions ------*- C++ -*-===//
2
+ //
3
+ // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4
+ // See https://llvm.org/LICENSE.txt for license information.
5
+ // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6
+ //
7
+ //===----------------------------------------------------------------------===//
8
+ //
9
+ // This file contains some templates that are useful if you are working with the
10
+ // STL at all.
11
+ //
12
+ // No library is required when using these functions.
13
+ //
14
+ //===----------------------------------------------------------------------===//
15
+
16
+ // c10: modified from llvm::function_ref
17
+ // c10: added more SFINAE to enable use in overloaded functions
18
+
19
+ #pragma once
20
+
21
+ #include <cstdint>
22
+ #include <type_traits>
23
+ #include <utility>
24
+
25
+ namespace c10 {
26
+
27
+ /// An efficient, type-erasing, non-owning reference to a callable. This is
28
+ /// intended for use as the type of a function parameter that is not used
29
+ /// after the function in question returns.
30
+ ///
31
+ /// This class does not own the callable, so it is not in general safe to store
32
+ /// a function_ref.
33
+ template <typename Fn>
34
+ class function_ref;
35
+
36
+ template <typename Ret, typename... Params>
37
+ class function_ref<Ret(Params...)> {
38
+ Ret (*callback)(intptr_t callable, Params... params) = nullptr;
39
+ intptr_t callable{};
40
+
41
+ template <typename Callable>
42
+ static Ret callback_fn(intptr_t callable, Params... params) {
43
+ return (*reinterpret_cast<Callable*>(callable))(std::forward<Params>(
44
+ params)...);
45
+ }
46
+
47
+ public:
48
+ function_ref() = default;
49
+ function_ref(std::nullptr_t) {}
50
+
51
+ template <typename Callable>
52
+ function_ref(
53
+ Callable&& callable,
54
+ typename std::enable_if<!std::is_same<
55
+ typename std::remove_reference<Callable>::type,
56
+ function_ref>::value>::type* = nullptr,
57
+ typename std::enable_if<std::is_convertible<
58
+ typename std::invoke_result_t<Callable, Params...>,
59
+ Ret>::value>::type* = nullptr)
60
+ : callback(callback_fn<typename std::remove_reference<Callable>::type>),
61
+ callable(reinterpret_cast<intptr_t>(&callable)) {}
62
+
63
+ Ret operator()(Params... params) const {
64
+ return callback(callable, std::forward<Params>(params)...);
65
+ }
66
+
67
+ operator bool() const {
68
+ return callback;
69
+ }
70
+ };
71
+
72
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/Half.h ADDED
@@ -0,0 +1,506 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ /// Defines the Half type (half-precision floating-point) including conversions
4
+ /// to standard C types and basic arithmetic operations. Note that arithmetic
5
+ /// operations are implemented by converting to floating point and
6
+ /// performing the operation in float32, instead of using CUDA half intrinsics.
7
+ /// Most uses of this type within ATen are memory bound, including the
8
+ /// element-wise kernels, and the half intrinsics aren't efficient on all GPUs.
9
+ /// If you are writing a compute bound kernel, you can use the CUDA half
10
+ /// intrinsics directly on the Half type from device code.
11
+
12
+ #include <c10/macros/Macros.h>
13
+ #include <c10/util/C++17.h>
14
+ #include <c10/util/TypeSafeSignMath.h>
15
+ #include <c10/util/complex.h>
16
+ #include <c10/util/floating_point_utils.h>
17
+ #include <type_traits>
18
+
19
+ #if defined(__cplusplus) && (__cplusplus >= 201103L)
20
+ #include <cmath>
21
+ #include <cstdint>
22
+ #elif !defined(__OPENCL_VERSION__)
23
+ #include <math.h>
24
+ #include <stdint.h>
25
+ #endif
26
+
27
+ #ifdef _MSC_VER
28
+ #include <intrin.h>
29
+ #endif
30
+
31
+ #include <complex>
32
+ #include <cstdint>
33
+ #include <cstring>
34
+ #include <iosfwd>
35
+ #include <limits>
36
+ #include <sstream>
37
+ #include <stdexcept>
38
+ #include <string>
39
+ #include <utility>
40
+
41
+ #ifdef __CUDACC__
42
+ #include <cuda_fp16.h>
43
+ #endif
44
+
45
+ #ifdef __HIPCC__
46
+ #include <hip/hip_fp16.h>
47
+ #endif
48
+
49
+ #if defined(CL_SYCL_LANGUAGE_VERSION)
50
+ #include <CL/sycl.hpp> // for SYCL 1.2.1
51
+ #elif defined(SYCL_LANGUAGE_VERSION)
52
+ #include <sycl/sycl.hpp> // for SYCL 2020
53
+ #endif
54
+
55
+ #include <typeinfo> // operator typeid
56
+
57
+ namespace c10 {
58
+
59
+ namespace detail {
60
+
61
+ /*
62
+ * Convert a 16-bit floating-point number in IEEE half-precision format, in bit
63
+ * representation, to a 32-bit floating-point number in IEEE single-precision
64
+ * format, in bit representation.
65
+ *
66
+ * @note The implementation doesn't use any floating-point operations.
67
+ */
68
+ inline uint32_t fp16_ieee_to_fp32_bits(uint16_t h) {
69
+ /*
70
+ * Extend the half-precision floating-point number to 32 bits and shift to the
71
+ * upper part of the 32-bit word:
72
+ * +---+-----+------------+-------------------+
73
+ * | S |EEEEE|MM MMMM MMMM|0000 0000 0000 0000|
74
+ * +---+-----+------------+-------------------+
75
+ * Bits 31 26-30 16-25 0-15
76
+ *
77
+ * S - sign bit, E - bits of the biased exponent, M - bits of the mantissa, 0
78
+ * - zero bits.
79
+ */
80
+ const uint32_t w = (uint32_t)h << 16;
81
+ /*
82
+ * Extract the sign of the input number into the high bit of the 32-bit word:
83
+ *
84
+ * +---+----------------------------------+
85
+ * | S |0000000 00000000 00000000 00000000|
86
+ * +---+----------------------------------+
87
+ * Bits 31 0-31
88
+ */
89
+ const uint32_t sign = w & UINT32_C(0x80000000);
90
+ /*
91
+ * Extract mantissa and biased exponent of the input number into the bits 0-30
92
+ * of the 32-bit word:
93
+ *
94
+ * +---+-----+------------+-------------------+
95
+ * | 0 |EEEEE|MM MMMM MMMM|0000 0000 0000 0000|
96
+ * +---+-----+------------+-------------------+
97
+ * Bits 30 27-31 17-26 0-16
98
+ */
99
+ const uint32_t nonsign = w & UINT32_C(0x7FFFFFFF);
100
+ /*
101
+ * Renorm shift is the number of bits to shift mantissa left to make the
102
+ * half-precision number normalized. If the initial number is normalized, some
103
+ * of its high 6 bits (sign == 0 and 5-bit exponent) equals one. In this case
104
+ * renorm_shift == 0. If the number is denormalize, renorm_shift > 0. Note
105
+ * that if we shift denormalized nonsign by renorm_shift, the unit bit of
106
+ * mantissa will shift into exponent, turning the biased exponent into 1, and
107
+ * making mantissa normalized (i.e. without leading 1).
108
+ */
109
+ #ifdef _MSC_VER
110
+ unsigned long nonsign_bsr;
111
+ _BitScanReverse(&nonsign_bsr, (unsigned long)nonsign);
112
+ uint32_t renorm_shift = (uint32_t)nonsign_bsr ^ 31;
113
+ #else
114
+ uint32_t renorm_shift = __builtin_clz(nonsign);
115
+ #endif
116
+ renorm_shift = renorm_shift > 5 ? renorm_shift - 5 : 0;
117
+ /*
118
+ * Iff half-precision number has exponent of 15, the addition overflows
119
+ * it into bit 31, and the subsequent shift turns the high 9 bits
120
+ * into 1. Thus inf_nan_mask == 0x7F800000 if the half-precision number
121
+ * had exponent of 15 (i.e. was NaN or infinity) 0x00000000 otherwise
122
+ */
123
+ const int32_t inf_nan_mask =
124
+ ((int32_t)(nonsign + 0x04000000) >> 8) & INT32_C(0x7F800000);
125
+ /*
126
+ * Iff nonsign is 0, it overflows into 0xFFFFFFFF, turning bit 31
127
+ * into 1. Otherwise, bit 31 remains 0. The signed shift right by 31
128
+ * broadcasts bit 31 into all bits of the zero_mask. Thus zero_mask ==
129
+ * 0xFFFFFFFF if the half-precision number was zero (+0.0h or -0.0h)
130
+ * 0x00000000 otherwise
131
+ */
132
+ const int32_t zero_mask = (int32_t)(nonsign - 1) >> 31;
133
+ /*
134
+ * 1. Shift nonsign left by renorm_shift to normalize it (if the input
135
+ * was denormal)
136
+ * 2. Shift nonsign right by 3 so the exponent (5 bits originally)
137
+ * becomes an 8-bit field and 10-bit mantissa shifts into the 10 high
138
+ * bits of the 23-bit mantissa of IEEE single-precision number.
139
+ * 3. Add 0x70 to the exponent (starting at bit 23) to compensate the
140
+ * different in exponent bias (0x7F for single-precision number less 0xF
141
+ * for half-precision number).
142
+ * 4. Subtract renorm_shift from the exponent (starting at bit 23) to
143
+ * account for renormalization. As renorm_shift is less than 0x70, this
144
+ * can be combined with step 3.
145
+ * 5. Binary OR with inf_nan_mask to turn the exponent into 0xFF if the
146
+ * input was NaN or infinity.
147
+ * 6. Binary ANDNOT with zero_mask to turn the mantissa and exponent
148
+ * into zero if the input was zero.
149
+ * 7. Combine with the sign of the input number.
150
+ */
151
+ return sign |
152
+ ((((nonsign << renorm_shift >> 3) + ((0x70 - renorm_shift) << 23)) |
153
+ inf_nan_mask) &
154
+ ~zero_mask);
155
+ }
156
+
157
+ /*
158
+ * Convert a 16-bit floating-point number in IEEE half-precision format, in bit
159
+ * representation, to a 32-bit floating-point number in IEEE single-precision
160
+ * format.
161
+ *
162
+ * @note The implementation relies on IEEE-like (no assumption about rounding
163
+ * mode and no operations on denormals) floating-point operations and bitcasts
164
+ * between integer and floating-point variables.
165
+ */
166
+ C10_HOST_DEVICE inline float fp16_ieee_to_fp32_value(uint16_t h) {
167
+ /*
168
+ * Extend the half-precision floating-point number to 32 bits and shift to the
169
+ * upper part of the 32-bit word:
170
+ * +---+-----+------------+-------------------+
171
+ * | S |EEEEE|MM MMMM MMMM|0000 0000 0000 0000|
172
+ * +---+-----+------------+-------------------+
173
+ * Bits 31 26-30 16-25 0-15
174
+ *
175
+ * S - sign bit, E - bits of the biased exponent, M - bits of the mantissa, 0
176
+ * - zero bits.
177
+ */
178
+ const uint32_t w = (uint32_t)h << 16;
179
+ /*
180
+ * Extract the sign of the input number into the high bit of the 32-bit word:
181
+ *
182
+ * +---+----------------------------------+
183
+ * | S |0000000 00000000 00000000 00000000|
184
+ * +---+----------------------------------+
185
+ * Bits 31 0-31
186
+ */
187
+ const uint32_t sign = w & UINT32_C(0x80000000);
188
+ /*
189
+ * Extract mantissa and biased exponent of the input number into the high bits
190
+ * of the 32-bit word:
191
+ *
192
+ * +-----+------------+---------------------+
193
+ * |EEEEE|MM MMMM MMMM|0 0000 0000 0000 0000|
194
+ * +-----+------------+---------------------+
195
+ * Bits 27-31 17-26 0-16
196
+ */
197
+ const uint32_t two_w = w + w;
198
+
199
+ /*
200
+ * Shift mantissa and exponent into bits 23-28 and bits 13-22 so they become
201
+ * mantissa and exponent of a single-precision floating-point number:
202
+ *
203
+ * S|Exponent | Mantissa
204
+ * +-+---+-----+------------+----------------+
205
+ * |0|000|EEEEE|MM MMMM MMMM|0 0000 0000 0000|
206
+ * +-+---+-----+------------+----------------+
207
+ * Bits | 23-31 | 0-22
208
+ *
209
+ * Next, there are some adjustments to the exponent:
210
+ * - The exponent needs to be corrected by the difference in exponent bias
211
+ * between single-precision and half-precision formats (0x7F - 0xF = 0x70)
212
+ * - Inf and NaN values in the inputs should become Inf and NaN values after
213
+ * conversion to the single-precision number. Therefore, if the biased
214
+ * exponent of the half-precision input was 0x1F (max possible value), the
215
+ * biased exponent of the single-precision output must be 0xFF (max possible
216
+ * value). We do this correction in two steps:
217
+ * - First, we adjust the exponent by (0xFF - 0x1F) = 0xE0 (see exp_offset
218
+ * below) rather than by 0x70 suggested by the difference in the exponent bias
219
+ * (see above).
220
+ * - Then we multiply the single-precision result of exponent adjustment by
221
+ * 2**(-112) to reverse the effect of exponent adjustment by 0xE0 less the
222
+ * necessary exponent adjustment by 0x70 due to difference in exponent bias.
223
+ * The floating-point multiplication hardware would ensure than Inf and
224
+ * NaN would retain their value on at least partially IEEE754-compliant
225
+ * implementations.
226
+ *
227
+ * Note that the above operations do not handle denormal inputs (where biased
228
+ * exponent == 0). However, they also do not operate on denormal inputs, and
229
+ * do not produce denormal results.
230
+ */
231
+ constexpr uint32_t exp_offset = UINT32_C(0xE0) << 23;
232
+ // const float exp_scale = 0x1.0p-112f;
233
+ constexpr uint32_t scale_bits = (uint32_t)15 << 23;
234
+ float exp_scale_val = 0;
235
+ std::memcpy(&exp_scale_val, &scale_bits, sizeof(exp_scale_val));
236
+ const float exp_scale = exp_scale_val;
237
+ const float normalized_value =
238
+ fp32_from_bits((two_w >> 4) + exp_offset) * exp_scale;
239
+
240
+ /*
241
+ * Convert denormalized half-precision inputs into single-precision results
242
+ * (always normalized). Zero inputs are also handled here.
243
+ *
244
+ * In a denormalized number the biased exponent is zero, and mantissa has
245
+ * on-zero bits. First, we shift mantissa into bits 0-9 of the 32-bit word.
246
+ *
247
+ * zeros | mantissa
248
+ * +---------------------------+------------+
249
+ * |0000 0000 0000 0000 0000 00|MM MMMM MMMM|
250
+ * +---------------------------+------------+
251
+ * Bits 10-31 0-9
252
+ *
253
+ * Now, remember that denormalized half-precision numbers are represented as:
254
+ * FP16 = mantissa * 2**(-24).
255
+ * The trick is to construct a normalized single-precision number with the
256
+ * same mantissa and thehalf-precision input and with an exponent which would
257
+ * scale the corresponding mantissa bits to 2**(-24). A normalized
258
+ * single-precision floating-point number is represented as: FP32 = (1 +
259
+ * mantissa * 2**(-23)) * 2**(exponent - 127) Therefore, when the biased
260
+ * exponent is 126, a unit change in the mantissa of the input denormalized
261
+ * half-precision number causes a change of the constructed single-precision
262
+ * number by 2**(-24), i.e. the same amount.
263
+ *
264
+ * The last step is to adjust the bias of the constructed single-precision
265
+ * number. When the input half-precision number is zero, the constructed
266
+ * single-precision number has the value of FP32 = 1 * 2**(126 - 127) =
267
+ * 2**(-1) = 0.5 Therefore, we need to subtract 0.5 from the constructed
268
+ * single-precision number to get the numerical equivalent of the input
269
+ * half-precision number.
270
+ */
271
+ constexpr uint32_t magic_mask = UINT32_C(126) << 23;
272
+ constexpr float magic_bias = 0.5f;
273
+ const float denormalized_value =
274
+ fp32_from_bits((two_w >> 17) | magic_mask) - magic_bias;
275
+
276
+ /*
277
+ * - Choose either results of conversion of input as a normalized number, or
278
+ * as a denormalized number, depending on the input exponent. The variable
279
+ * two_w contains input exponent in bits 27-31, therefore if its smaller than
280
+ * 2**27, the input is either a denormal number, or zero.
281
+ * - Combine the result of conversion of exponent and mantissa with the sign
282
+ * of the input number.
283
+ */
284
+ constexpr uint32_t denormalized_cutoff = UINT32_C(1) << 27;
285
+ const uint32_t result = sign |
286
+ (two_w < denormalized_cutoff ? fp32_to_bits(denormalized_value)
287
+ : fp32_to_bits(normalized_value));
288
+ return fp32_from_bits(result);
289
+ }
290
+
291
+ /*
292
+ * Convert a 32-bit floating-point number in IEEE single-precision format to a
293
+ * 16-bit floating-point number in IEEE half-precision format, in bit
294
+ * representation.
295
+ *
296
+ * @note The implementation relies on IEEE-like (no assumption about rounding
297
+ * mode and no operations on denormals) floating-point operations and bitcasts
298
+ * between integer and floating-point variables.
299
+ */
300
+ inline uint16_t fp16_ieee_from_fp32_value(float f) {
301
+ // const float scale_to_inf = 0x1.0p+112f;
302
+ // const float scale_to_zero = 0x1.0p-110f;
303
+ constexpr uint32_t scale_to_inf_bits = (uint32_t)239 << 23;
304
+ constexpr uint32_t scale_to_zero_bits = (uint32_t)17 << 23;
305
+ float scale_to_inf_val = 0, scale_to_zero_val = 0;
306
+ std::memcpy(&scale_to_inf_val, &scale_to_inf_bits, sizeof(scale_to_inf_val));
307
+ std::memcpy(
308
+ &scale_to_zero_val, &scale_to_zero_bits, sizeof(scale_to_zero_val));
309
+ const float scale_to_inf = scale_to_inf_val;
310
+ const float scale_to_zero = scale_to_zero_val;
311
+
312
+ #if defined(_MSC_VER) && _MSC_VER == 1916
313
+ float base = ((signbit(f) != 0 ? -f : f) * scale_to_inf) * scale_to_zero;
314
+ #else
315
+ float base = (fabsf(f) * scale_to_inf) * scale_to_zero;
316
+ #endif
317
+
318
+ const uint32_t w = fp32_to_bits(f);
319
+ const uint32_t shl1_w = w + w;
320
+ const uint32_t sign = w & UINT32_C(0x80000000);
321
+ uint32_t bias = shl1_w & UINT32_C(0xFF000000);
322
+ if (bias < UINT32_C(0x71000000)) {
323
+ bias = UINT32_C(0x71000000);
324
+ }
325
+
326
+ base = fp32_from_bits((bias >> 1) + UINT32_C(0x07800000)) + base;
327
+ const uint32_t bits = fp32_to_bits(base);
328
+ const uint32_t exp_bits = (bits >> 13) & UINT32_C(0x00007C00);
329
+ const uint32_t mantissa_bits = bits & UINT32_C(0x00000FFF);
330
+ const uint32_t nonsign = exp_bits + mantissa_bits;
331
+ return static_cast<uint16_t>(
332
+ (sign >> 16) |
333
+ (shl1_w > UINT32_C(0xFF000000) ? UINT16_C(0x7E00) : nonsign));
334
+ }
335
+
336
+ } // namespace detail
337
+
338
+ struct alignas(2) Half {
339
+ unsigned short x;
340
+
341
+ struct from_bits_t {};
342
+ C10_HOST_DEVICE static constexpr from_bits_t from_bits() {
343
+ return from_bits_t();
344
+ }
345
+
346
+ // HIP wants __host__ __device__ tag, CUDA does not
347
+ #if defined(USE_ROCM)
348
+ C10_HOST_DEVICE Half() = default;
349
+ #else
350
+ Half() = default;
351
+ #endif
352
+
353
+ constexpr C10_HOST_DEVICE Half(unsigned short bits, from_bits_t) : x(bits){};
354
+ inline C10_HOST_DEVICE Half(float value);
355
+ inline C10_HOST_DEVICE operator float() const;
356
+
357
+ #if defined(__CUDACC__) || defined(__HIPCC__)
358
+ inline C10_HOST_DEVICE Half(const __half& value);
359
+ inline C10_HOST_DEVICE operator __half() const;
360
+ #endif
361
+ #ifdef SYCL_LANGUAGE_VERSION
362
+ inline C10_HOST_DEVICE Half(const sycl::half& value);
363
+ inline C10_HOST_DEVICE operator sycl::half() const;
364
+ #endif
365
+ };
366
+
367
+ // TODO : move to complex.h
368
+ template <>
369
+ struct alignas(4) complex<Half> {
370
+ Half real_;
371
+ Half imag_;
372
+
373
+ // Constructors
374
+ complex() = default;
375
+ // Half constructor is not constexpr so the following constructor can't
376
+ // be constexpr
377
+ C10_HOST_DEVICE explicit inline complex(const Half& real, const Half& imag)
378
+ : real_(real), imag_(imag) {}
379
+ C10_HOST_DEVICE inline complex(const c10::complex<float>& value)
380
+ : real_(value.real()), imag_(value.imag()) {}
381
+
382
+ // Conversion operator
383
+ inline C10_HOST_DEVICE operator c10::complex<float>() const {
384
+ return {real_, imag_};
385
+ }
386
+
387
+ constexpr C10_HOST_DEVICE Half real() const {
388
+ return real_;
389
+ }
390
+ constexpr C10_HOST_DEVICE Half imag() const {
391
+ return imag_;
392
+ }
393
+
394
+ C10_HOST_DEVICE complex<Half>& operator+=(const complex<Half>& other) {
395
+ real_ = static_cast<float>(real_) + static_cast<float>(other.real_);
396
+ imag_ = static_cast<float>(imag_) + static_cast<float>(other.imag_);
397
+ return *this;
398
+ }
399
+
400
+ C10_HOST_DEVICE complex<Half>& operator-=(const complex<Half>& other) {
401
+ real_ = static_cast<float>(real_) - static_cast<float>(other.real_);
402
+ imag_ = static_cast<float>(imag_) - static_cast<float>(other.imag_);
403
+ return *this;
404
+ }
405
+
406
+ C10_HOST_DEVICE complex<Half>& operator*=(const complex<Half>& other) {
407
+ auto a = static_cast<float>(real_);
408
+ auto b = static_cast<float>(imag_);
409
+ auto c = static_cast<float>(other.real());
410
+ auto d = static_cast<float>(other.imag());
411
+ real_ = a * c - b * d;
412
+ imag_ = a * d + b * c;
413
+ return *this;
414
+ }
415
+ };
416
+
417
+ // In some versions of MSVC, there will be a compiler error when building.
418
+ // C4146: unary minus operator applied to unsigned type, result still unsigned
419
+ // C4804: unsafe use of type 'bool' in operation
420
+ // It can be addressed by disabling the following warning.
421
+ #ifdef _MSC_VER
422
+ #pragma warning(push)
423
+ #pragma warning(disable : 4146)
424
+ #pragma warning(disable : 4804)
425
+ #pragma warning(disable : 4018)
426
+ #endif
427
+
428
+ // The overflow checks may involve float to int conversion which may
429
+ // trigger precision loss warning. Re-enable the warning once the code
430
+ // is fixed. See T58053069.
431
+ C10_CLANG_DIAGNOSTIC_PUSH()
432
+ #if C10_CLANG_HAS_WARNING("-Wimplicit-float-conversion")
433
+ C10_CLANG_DIAGNOSTIC_IGNORE("-Wimplicit-float-conversion")
434
+ #endif
435
+
436
+ // bool can be converted to any type.
437
+ // Without specializing on bool, in pytorch_linux_trusty_py2_7_9_build:
438
+ // `error: comparison of constant '255' with boolean expression is always false`
439
+ // for `f > limit::max()` below
440
+ template <typename To, typename From>
441
+ typename std::enable_if<std::is_same<From, bool>::value, bool>::type overflows(
442
+ From /*f*/) {
443
+ return false;
444
+ }
445
+
446
+ // skip isnan and isinf check for integral types
447
+ template <typename To, typename From>
448
+ typename std::enable_if<
449
+ std::is_integral<From>::value && !std::is_same<From, bool>::value,
450
+ bool>::type
451
+ overflows(From f) {
452
+ using limit = std::numeric_limits<typename scalar_value_type<To>::type>;
453
+ if (!limit::is_signed && std::numeric_limits<From>::is_signed) {
454
+ // allow for negative numbers to wrap using two's complement arithmetic.
455
+ // For example, with uint8, this allows for `a - b` to be treated as
456
+ // `a + 255 * b`.
457
+ return greater_than_max<To>(f) ||
458
+ (c10::is_negative(f) && -static_cast<uint64_t>(f) > limit::max());
459
+ } else {
460
+ return c10::less_than_lowest<To>(f) || greater_than_max<To>(f);
461
+ }
462
+ }
463
+
464
+ template <typename To, typename From>
465
+ typename std::enable_if<std::is_floating_point<From>::value, bool>::type
466
+ overflows(From f) {
467
+ using limit = std::numeric_limits<typename scalar_value_type<To>::type>;
468
+ if (limit::has_infinity && std::isinf(static_cast<double>(f))) {
469
+ return false;
470
+ }
471
+ if (!limit::has_quiet_NaN && (f != f)) {
472
+ return true;
473
+ }
474
+ return f < limit::lowest() || f > limit::max();
475
+ }
476
+
477
+ C10_CLANG_DIAGNOSTIC_POP()
478
+
479
+ #ifdef _MSC_VER
480
+ #pragma warning(pop)
481
+ #endif
482
+
483
+ template <typename To, typename From>
484
+ typename std::enable_if<is_complex<From>::value, bool>::type overflows(From f) {
485
+ // casts from complex to real are considered to overflow if the
486
+ // imaginary component is non-zero
487
+ if (!is_complex<To>::value && f.imag() != 0) {
488
+ return true;
489
+ }
490
+ // Check for overflow componentwise
491
+ // (Technically, the imag overflow check is guaranteed to be false
492
+ // when !is_complex<To>, but any optimizer worth its salt will be
493
+ // able to figure it out.)
494
+ return overflows<
495
+ typename scalar_value_type<To>::type,
496
+ typename From::value_type>(f.real()) ||
497
+ overflows<
498
+ typename scalar_value_type<To>::type,
499
+ typename From::value_type>(f.imag());
500
+ }
501
+
502
+ C10_API std::ostream& operator<<(std::ostream& out, const Half& value);
503
+
504
+ } // namespace c10
505
+
506
+ #include <c10/util/Half-inl.h> // IWYU pragma: keep
videollama2/lib/python3.10/site-packages/torch/include/c10/util/MathConstants.h ADDED
@@ -0,0 +1,142 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <c10/macros/Macros.h>
4
+ #include <c10/util/BFloat16.h>
5
+ #include <c10/util/Half.h>
6
+
7
+ C10_CLANG_DIAGNOSTIC_PUSH()
8
+ #if C10_CLANG_HAS_WARNING("-Wimplicit-float-conversion")
9
+ C10_CLANG_DIAGNOSTIC_IGNORE("-Wimplicit-float-conversion")
10
+ #endif
11
+
12
+ namespace c10 {
13
+ // TODO: Replace me with inline constexpr variable when C++17 becomes available
14
+ namespace detail {
15
+ template <typename T>
16
+ C10_HOST_DEVICE inline constexpr T e() {
17
+ return static_cast<T>(2.718281828459045235360287471352662);
18
+ }
19
+
20
+ template <typename T>
21
+ C10_HOST_DEVICE inline constexpr T euler() {
22
+ return static_cast<T>(0.577215664901532860606512090082402);
23
+ }
24
+
25
+ template <typename T>
26
+ C10_HOST_DEVICE inline constexpr T frac_1_pi() {
27
+ return static_cast<T>(0.318309886183790671537767526745028);
28
+ }
29
+
30
+ template <typename T>
31
+ C10_HOST_DEVICE inline constexpr T frac_1_sqrt_pi() {
32
+ return static_cast<T>(0.564189583547756286948079451560772);
33
+ }
34
+
35
+ template <typename T>
36
+ C10_HOST_DEVICE inline constexpr T frac_sqrt_2() {
37
+ return static_cast<T>(0.707106781186547524400844362104849);
38
+ }
39
+
40
+ template <typename T>
41
+ C10_HOST_DEVICE inline constexpr T frac_sqrt_3() {
42
+ return static_cast<T>(0.577350269189625764509148780501957);
43
+ }
44
+
45
+ template <typename T>
46
+ C10_HOST_DEVICE inline constexpr T golden_ratio() {
47
+ return static_cast<T>(1.618033988749894848204586834365638);
48
+ }
49
+
50
+ template <typename T>
51
+ C10_HOST_DEVICE inline constexpr T ln_10() {
52
+ return static_cast<T>(2.302585092994045684017991454684364);
53
+ }
54
+
55
+ template <typename T>
56
+ C10_HOST_DEVICE inline constexpr T ln_2() {
57
+ return static_cast<T>(0.693147180559945309417232121458176);
58
+ }
59
+
60
+ template <typename T>
61
+ C10_HOST_DEVICE inline constexpr T log_10_e() {
62
+ return static_cast<T>(0.434294481903251827651128918916605);
63
+ }
64
+
65
+ template <typename T>
66
+ C10_HOST_DEVICE inline constexpr T log_2_e() {
67
+ return static_cast<T>(1.442695040888963407359924681001892);
68
+ }
69
+
70
+ template <typename T>
71
+ C10_HOST_DEVICE inline constexpr T pi() {
72
+ return static_cast<T>(3.141592653589793238462643383279502);
73
+ }
74
+
75
+ template <typename T>
76
+ C10_HOST_DEVICE inline constexpr T sqrt_2() {
77
+ return static_cast<T>(1.414213562373095048801688724209698);
78
+ }
79
+
80
+ template <typename T>
81
+ C10_HOST_DEVICE inline constexpr T sqrt_3() {
82
+ return static_cast<T>(1.732050807568877293527446341505872);
83
+ }
84
+
85
+ template <>
86
+ C10_HOST_DEVICE inline constexpr BFloat16 pi<BFloat16>() {
87
+ // According to
88
+ // https://en.wikipedia.org/wiki/Bfloat16_floating-point_format#Special_values
89
+ // pi is encoded as 4049
90
+ return BFloat16(0x4049, BFloat16::from_bits());
91
+ }
92
+
93
+ template <>
94
+ C10_HOST_DEVICE inline constexpr Half pi<Half>() {
95
+ return Half(0x4248, Half::from_bits());
96
+ }
97
+ } // namespace detail
98
+
99
+ template <typename T>
100
+ constexpr T e = c10::detail::e<T>();
101
+
102
+ template <typename T>
103
+ constexpr T euler = c10::detail::euler<T>();
104
+
105
+ template <typename T>
106
+ constexpr T frac_1_pi = c10::detail::frac_1_pi<T>();
107
+
108
+ template <typename T>
109
+ constexpr T frac_1_sqrt_pi = c10::detail::frac_1_sqrt_pi<T>();
110
+
111
+ template <typename T>
112
+ constexpr T frac_sqrt_2 = c10::detail::frac_sqrt_2<T>();
113
+
114
+ template <typename T>
115
+ constexpr T frac_sqrt_3 = c10::detail::frac_sqrt_3<T>();
116
+
117
+ template <typename T>
118
+ constexpr T golden_ratio = c10::detail::golden_ratio<T>();
119
+
120
+ template <typename T>
121
+ constexpr T ln_10 = c10::detail::ln_10<T>();
122
+
123
+ template <typename T>
124
+ constexpr T ln_2 = c10::detail::ln_2<T>();
125
+
126
+ template <typename T>
127
+ constexpr T log_10_e = c10::detail::log_10_e<T>();
128
+
129
+ template <typename T>
130
+ constexpr T log_2_e = c10::detail::log_2_e<T>();
131
+
132
+ template <typename T>
133
+ constexpr T pi = c10::detail::pi<T>();
134
+
135
+ template <typename T>
136
+ constexpr T sqrt_2 = c10::detail::sqrt_2<T>();
137
+
138
+ template <typename T>
139
+ constexpr T sqrt_3 = c10::detail::sqrt_3<T>();
140
+ } // namespace c10
141
+
142
+ C10_CLANG_DIAGNOSTIC_POP()
videollama2/lib/python3.10/site-packages/torch/include/c10/util/Optional.h ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #ifndef C10_UTIL_OPTIONAL_H_
2
+ #define C10_UTIL_OPTIONAL_H_
3
+
4
+ #include <optional>
5
+ #include <type_traits>
6
+
7
+ // Macros.h is not needed, but it does namespace shenanigans that lots
8
+ // of downstream code seems to rely on. Feel free to remove it and fix
9
+ // up builds.
10
+ #include <c10/macros/Macros.h>
11
+ #include <c10/util/Metaprogramming.h>
12
+
13
+ namespace c10 {
14
+ using std::bad_optional_access;
15
+ using std::in_place;
16
+ using std::in_place_t;
17
+ using std::make_optional;
18
+ using std::nullopt;
19
+ using std::nullopt_t;
20
+ using std::optional;
21
+
22
+ namespace detail_ {
23
+ // the call to convert<A>(b) has return type A and converts b to type A iff b
24
+ // decltype(b) is implicitly convertible to A
25
+ template <class U>
26
+ constexpr U convert(U v) {
27
+ return v;
28
+ }
29
+ } // namespace detail_
30
+ template <class T, class F>
31
+ constexpr T value_or_else(const optional<T>& v, F&& func) {
32
+ static_assert(
33
+ std::is_convertible<typename std::invoke_result_t<F>, T>::value,
34
+ "func parameters must be a callable that returns a type convertible to the value stored in the optional");
35
+ return v.has_value() ? *v : detail_::convert<T>(std::forward<F>(func)());
36
+ }
37
+
38
+ template <class T, class F>
39
+ constexpr T value_or_else(optional<T>&& v, F&& func) {
40
+ static_assert(
41
+ std::is_convertible<typename std::invoke_result_t<F>, T>::value,
42
+ "func parameters must be a callable that returns a type convertible to the value stored in the optional");
43
+ return v.has_value() ? constexpr_move(std::move(v).contained_val())
44
+ : detail_::convert<T>(std::forward<F>(func)());
45
+ }
46
+ } // namespace c10
47
+ #endif // C10_UTIL_OPTIONAL_H_
videollama2/lib/python3.10/site-packages/torch/include/c10/util/ScopeExit.h ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <type_traits>
4
+ #include <utility>
5
+
6
+ namespace c10 {
7
+
8
+ /**
9
+ * Mostly copied from https://llvm.org/doxygen/ScopeExit_8h_source.html
10
+ */
11
+ template <typename Callable>
12
+ class scope_exit {
13
+ Callable ExitFunction;
14
+ bool Engaged = true; // False once moved-from or release()d.
15
+
16
+ public:
17
+ template <typename Fp>
18
+ // constructor accepting a forwarding reference can hide the
19
+ // move constructor
20
+ // @lint-ignore CLANGTIDY
21
+ explicit scope_exit(Fp&& F) : ExitFunction(std::forward<Fp>(F)) {}
22
+
23
+ scope_exit(scope_exit&& Rhs) noexcept
24
+ : ExitFunction(std::move(Rhs.ExitFunction)), Engaged(Rhs.Engaged) {
25
+ Rhs.release();
26
+ }
27
+ scope_exit(const scope_exit&) = delete;
28
+ scope_exit& operator=(scope_exit&&) = delete;
29
+ scope_exit& operator=(const scope_exit&) = delete;
30
+
31
+ void release() {
32
+ Engaged = false;
33
+ }
34
+
35
+ ~scope_exit() {
36
+ if (Engaged) {
37
+ ExitFunction();
38
+ }
39
+ }
40
+ };
41
+
42
+ // Keeps the callable object that is passed in, and execute it at the
43
+ // destruction of the returned object (usually at the scope exit where the
44
+ // returned object is kept).
45
+ //
46
+ // Interface is specified by p0052r2.
47
+ template <typename Callable>
48
+ scope_exit<typename std::decay<Callable>::type> make_scope_exit(Callable&& F) {
49
+ return scope_exit<typename std::decay<Callable>::type>(
50
+ std::forward<Callable>(F));
51
+ }
52
+
53
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/Synchronized.h ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <mutex>
4
+
5
+ #include <c10/util/C++17.h>
6
+
7
+ namespace c10 {
8
+
9
+ /**
10
+ * A very simple Synchronization class for error-free use of data
11
+ * in a multi-threaded context. See folly/docs/Synchronized.md for
12
+ * the inspiration of this class.
13
+ *
14
+ * Full URL:
15
+ * https://github.com/facebook/folly/blob/main/folly/docs/Synchronized.md
16
+ *
17
+ * This class implements a small subset of the generic functionality
18
+ * implemented by folly:Synchronized<T>. Specifically, only withLock<T>
19
+ * is implemented here since it's the smallest possible API that is
20
+ * able to cover a large surface area of functionality offered by
21
+ * folly::Synchronized<T>.
22
+ */
23
+ template <typename T>
24
+ class Synchronized final {
25
+ mutable std::mutex mutex_;
26
+ T data_;
27
+
28
+ public:
29
+ Synchronized() = default;
30
+ Synchronized(T const& data) : data_(data) {}
31
+ Synchronized(T&& data) : data_(data) {}
32
+
33
+ // Don't permit copy construction, move, assignment, or
34
+ // move assignment, since the underlying std::mutex
35
+ // isn't necessarily copyable/moveable.
36
+ Synchronized(Synchronized const&) = delete;
37
+ Synchronized(Synchronized&&) = delete;
38
+ Synchronized operator=(Synchronized const&) = delete;
39
+ Synchronized operator=(Synchronized&&) = delete;
40
+
41
+ /**
42
+ * To use, call withLock<T> with a callback that accepts T either
43
+ * by copy or by reference. Use the protected variable in the
44
+ * provided callback safely.
45
+ */
46
+ template <typename CB>
47
+ typename c10::invoke_result_t<CB, T&> withLock(CB cb) {
48
+ std::lock_guard<std::mutex> guard(this->mutex_);
49
+ return cb(this->data_);
50
+ }
51
+
52
+ /**
53
+ * To use, call withLock<T> with a callback that accepts T either
54
+ * by copy or by const reference. Use the protected variable in
55
+ * the provided callback safely.
56
+ */
57
+ template <typename CB>
58
+ typename c10::invoke_result_t<CB, T const&> withLock(CB cb) const {
59
+ std::lock_guard<std::mutex> guard(this->mutex_);
60
+ return cb(this->data_);
61
+ }
62
+ };
63
+ } // end namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/Type.h ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #ifndef C10_UTIL_TYPE_H_
2
+ #define C10_UTIL_TYPE_H_
3
+
4
+ #include <cstddef>
5
+ #include <string>
6
+ #ifdef __GXX_RTTI
7
+ #include <typeinfo>
8
+ #endif // __GXX_RTTI
9
+
10
+ #include <c10/macros/Macros.h>
11
+
12
+ namespace c10 {
13
+
14
+ /// Utility to demangle a C++ symbol name.
15
+ C10_API std::string demangle(const char* name);
16
+
17
+ /// Returns the printable name of the type.
18
+ template <typename T>
19
+ inline const char* demangle_type() {
20
+ #ifdef __GXX_RTTI
21
+ static const auto& name = *(new std::string(demangle(typeid(T).name())));
22
+ return name.c_str();
23
+ #else // __GXX_RTTI
24
+ return "(RTTI disabled, cannot show name)";
25
+ #endif // __GXX_RTTI
26
+ }
27
+
28
+ } // namespace c10
29
+
30
+ #endif // C10_UTIL_TYPE_H_
videollama2/lib/python3.10/site-packages/torch/include/c10/util/Unicode.h ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #if defined(_WIN32)
4
+ #include <c10/util/Exception.h>
5
+ #include <c10/util/win32-headers.h>
6
+ #include <string>
7
+ #endif
8
+
9
+ namespace c10 {
10
+ #if defined(_WIN32)
11
+ C10_API std::wstring u8u16(const std::string& str);
12
+ C10_API std::string u16u8(const std::wstring& wstr);
13
+ #endif
14
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/complex.h ADDED
@@ -0,0 +1,620 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <complex>
4
+
5
+ #include <c10/macros/Macros.h>
6
+
7
+ #if defined(__CUDACC__) || defined(__HIPCC__)
8
+ #include <thrust/complex.h>
9
+ #endif
10
+
11
+ C10_CLANG_DIAGNOSTIC_PUSH()
12
+ #if C10_CLANG_HAS_WARNING("-Wimplicit-float-conversion")
13
+ C10_CLANG_DIAGNOSTIC_IGNORE("-Wimplicit-float-conversion")
14
+ #endif
15
+ #if C10_CLANG_HAS_WARNING("-Wfloat-conversion")
16
+ C10_CLANG_DIAGNOSTIC_IGNORE("-Wfloat-conversion")
17
+ #endif
18
+
19
+ namespace c10 {
20
+
21
+ // c10::complex is an implementation of complex numbers that aims
22
+ // to work on all devices supported by PyTorch
23
+ //
24
+ // Most of the APIs duplicates std::complex
25
+ // Reference: https://en.cppreference.com/w/cpp/numeric/complex
26
+ //
27
+ // [NOTE: Complex Operator Unification]
28
+ // Operators currently use a mix of std::complex, thrust::complex, and
29
+ // c10::complex internally. The end state is that all operators will use
30
+ // c10::complex internally. Until then, there may be some hacks to support all
31
+ // variants.
32
+ //
33
+ //
34
+ // [Note on Constructors]
35
+ //
36
+ // The APIs of constructors are mostly copied from C++ standard:
37
+ // https://en.cppreference.com/w/cpp/numeric/complex/complex
38
+ //
39
+ // Since C++14, all constructors are constexpr in std::complex
40
+ //
41
+ // There are three types of constructors:
42
+ // - initializing from real and imag:
43
+ // `constexpr complex( const T& re = T(), const T& im = T() );`
44
+ // - implicitly-declared copy constructor
45
+ // - converting constructors
46
+ //
47
+ // Converting constructors:
48
+ // - std::complex defines converting constructor between float/double/long
49
+ // double,
50
+ // while we define converting constructor between float/double.
51
+ // - For these converting constructors, upcasting is implicit, downcasting is
52
+ // explicit.
53
+ // - We also define explicit casting from std::complex/thrust::complex
54
+ // - Note that the conversion from thrust is not constexpr, because
55
+ // thrust does not define them as constexpr ????
56
+ //
57
+ //
58
+ // [Operator =]
59
+ //
60
+ // The APIs of operator = are mostly copied from C++ standard:
61
+ // https://en.cppreference.com/w/cpp/numeric/complex/operator%3D
62
+ //
63
+ // Since C++20, all operator= are constexpr. Although we are not building with
64
+ // C++20, we also obey this behavior.
65
+ //
66
+ // There are three types of assign operator:
67
+ // - Assign a real value from the same scalar type
68
+ // - In std, this is templated as complex& operator=(const T& x)
69
+ // with specialization `complex& operator=(T x)` for float/double/long
70
+ // double Since we only support float and double, on will use `complex&
71
+ // operator=(T x)`
72
+ // - Copy assignment operator and converting assignment operator
73
+ // - There is no specialization of converting assignment operators, which type
74
+ // is
75
+ // convertible is solely dependent on whether the scalar type is convertible
76
+ //
77
+ // In addition to the standard assignment, we also provide assignment operators
78
+ // with std and thrust
79
+ //
80
+ //
81
+ // [Casting operators]
82
+ //
83
+ // std::complex does not have casting operators. We define casting operators
84
+ // casting to std::complex and thrust::complex
85
+ //
86
+ //
87
+ // [Operator ""]
88
+ //
89
+ // std::complex has custom literals `i`, `if` and `il` defined in namespace
90
+ // `std::literals::complex_literals`. We define our own custom literals in the
91
+ // namespace `c10::complex_literals`. Our custom literals does not follow the
92
+ // same behavior as in std::complex, instead, we define _if, _id to construct
93
+ // float/double complex literals.
94
+ //
95
+ //
96
+ // [real() and imag()]
97
+ //
98
+ // In C++20, there are two overload of these functions, one it to return the
99
+ // real/imag, another is to set real/imag, they are both constexpr. We follow
100
+ // this design.
101
+ //
102
+ //
103
+ // [Operator +=,-=,*=,/=]
104
+ //
105
+ // Since C++20, these operators become constexpr. In our implementation, they
106
+ // are also constexpr.
107
+ //
108
+ // There are two types of such operators: operating with a real number, or
109
+ // operating with another complex number. For the operating with a real number,
110
+ // the generic template form has argument type `const T &`, while the overload
111
+ // for float/double/long double has `T`. We will follow the same type as
112
+ // float/double/long double in std.
113
+ //
114
+ // [Unary operator +-]
115
+ //
116
+ // Since C++20, they are constexpr. We also make them expr
117
+ //
118
+ // [Binary operators +-*/]
119
+ //
120
+ // Each operator has three versions (taking + as example):
121
+ // - complex + complex
122
+ // - complex + real
123
+ // - real + complex
124
+ //
125
+ // [Operator ==, !=]
126
+ //
127
+ // Each operator has three versions (taking == as example):
128
+ // - complex == complex
129
+ // - complex == real
130
+ // - real == complex
131
+ //
132
+ // Some of them are removed on C++20, but we decide to keep them
133
+ //
134
+ // [Operator <<, >>]
135
+ //
136
+ // These are implemented by casting to std::complex
137
+ //
138
+ //
139
+ //
140
+ // TODO(@zasdfgbnm): c10::complex<c10::Half> is not currently supported,
141
+ // because:
142
+ // - lots of members and functions of c10::Half are not constexpr
143
+ // - thrust::complex only support float and double
144
+
145
+ template <typename T>
146
+ struct alignas(sizeof(T) * 2) complex {
147
+ using value_type = T;
148
+
149
+ T real_ = T(0);
150
+ T imag_ = T(0);
151
+
152
+ constexpr complex() = default;
153
+ C10_HOST_DEVICE constexpr complex(const T& re, const T& im = T())
154
+ : real_(re), imag_(im) {}
155
+ template <typename U>
156
+ explicit constexpr complex(const std::complex<U>& other)
157
+ : complex(other.real(), other.imag()) {}
158
+ #if defined(__CUDACC__) || defined(__HIPCC__)
159
+ template <typename U>
160
+ explicit C10_HOST_DEVICE complex(const thrust::complex<U>& other)
161
+ : real_(other.real()), imag_(other.imag()) {}
162
+ // NOTE can not be implemented as follow due to ROCm bug:
163
+ // explicit C10_HOST_DEVICE complex(const thrust::complex<U> &other):
164
+ // complex(other.real(), other.imag()) {}
165
+ #endif
166
+
167
+ // Use SFINAE to specialize casting constructor for c10::complex<float> and
168
+ // c10::complex<double>
169
+ template <typename U = T>
170
+ C10_HOST_DEVICE explicit constexpr complex(
171
+ const std::enable_if_t<std::is_same<U, float>::value, complex<double>>&
172
+ other)
173
+ : real_(other.real_), imag_(other.imag_) {}
174
+ template <typename U = T>
175
+ C10_HOST_DEVICE constexpr complex(
176
+ const std::enable_if_t<std::is_same<U, double>::value, complex<float>>&
177
+ other)
178
+ : real_(other.real_), imag_(other.imag_) {}
179
+
180
+ constexpr complex<T>& operator=(T re) {
181
+ real_ = re;
182
+ imag_ = 0;
183
+ return *this;
184
+ }
185
+
186
+ constexpr complex<T>& operator+=(T re) {
187
+ real_ += re;
188
+ return *this;
189
+ }
190
+
191
+ constexpr complex<T>& operator-=(T re) {
192
+ real_ -= re;
193
+ return *this;
194
+ }
195
+
196
+ constexpr complex<T>& operator*=(T re) {
197
+ real_ *= re;
198
+ imag_ *= re;
199
+ return *this;
200
+ }
201
+
202
+ constexpr complex<T>& operator/=(T re) {
203
+ real_ /= re;
204
+ imag_ /= re;
205
+ return *this;
206
+ }
207
+
208
+ template <typename U>
209
+ constexpr complex<T>& operator=(const complex<U>& rhs) {
210
+ real_ = rhs.real();
211
+ imag_ = rhs.imag();
212
+ return *this;
213
+ }
214
+
215
+ template <typename U>
216
+ constexpr complex<T>& operator+=(const complex<U>& rhs) {
217
+ real_ += rhs.real();
218
+ imag_ += rhs.imag();
219
+ return *this;
220
+ }
221
+
222
+ template <typename U>
223
+ constexpr complex<T>& operator-=(const complex<U>& rhs) {
224
+ real_ -= rhs.real();
225
+ imag_ -= rhs.imag();
226
+ return *this;
227
+ }
228
+
229
+ template <typename U>
230
+ constexpr complex<T>& operator*=(const complex<U>& rhs) {
231
+ // (a + bi) * (c + di) = (a*c - b*d) + (a * d + b * c) i
232
+ T a = real_;
233
+ T b = imag_;
234
+ U c = rhs.real();
235
+ U d = rhs.imag();
236
+ real_ = a * c - b * d;
237
+ imag_ = a * d + b * c;
238
+ return *this;
239
+ }
240
+
241
+ #ifdef __APPLE__
242
+ #define FORCE_INLINE_APPLE __attribute__((always_inline))
243
+ #else
244
+ #define FORCE_INLINE_APPLE
245
+ #endif
246
+ template <typename U>
247
+ constexpr FORCE_INLINE_APPLE complex<T>& operator/=(const complex<U>& rhs)
248
+ __ubsan_ignore_float_divide_by_zero__ {
249
+ // (a + bi) / (c + di) = (ac + bd)/(c^2 + d^2) + (bc - ad)/(c^2 + d^2) i
250
+ // the calculation below follows numpy's complex division
251
+ T a = real_;
252
+ T b = imag_;
253
+ U c = rhs.real();
254
+ U d = rhs.imag();
255
+
256
+ #if defined(__GNUC__) && !defined(__clang__)
257
+ // std::abs is already constexpr by gcc
258
+ auto abs_c = std::abs(c);
259
+ auto abs_d = std::abs(d);
260
+ #else
261
+ auto abs_c = c < 0 ? -c : c;
262
+ auto abs_d = d < 0 ? -d : d;
263
+ #endif
264
+
265
+ if (abs_c >= abs_d) {
266
+ if (abs_c == 0 && abs_d == 0) {
267
+ /* divide by zeros should yield a complex inf or nan */
268
+ real_ = a / abs_c;
269
+ imag_ = b / abs_d;
270
+ } else {
271
+ auto rat = d / c;
272
+ auto scl = 1.0 / (c + d * rat);
273
+ real_ = (a + b * rat) * scl;
274
+ imag_ = (b - a * rat) * scl;
275
+ }
276
+ } else {
277
+ auto rat = c / d;
278
+ auto scl = 1.0 / (d + c * rat);
279
+ real_ = (a * rat + b) * scl;
280
+ imag_ = (b * rat - a) * scl;
281
+ }
282
+ return *this;
283
+ }
284
+ #undef FORCE_INLINE_APPLE
285
+
286
+ template <typename U>
287
+ constexpr complex<T>& operator=(const std::complex<U>& rhs) {
288
+ real_ = rhs.real();
289
+ imag_ = rhs.imag();
290
+ return *this;
291
+ }
292
+
293
+ #if defined(__CUDACC__) || defined(__HIPCC__)
294
+ template <typename U>
295
+ C10_HOST_DEVICE complex<T>& operator=(const thrust::complex<U>& rhs) {
296
+ real_ = rhs.real();
297
+ imag_ = rhs.imag();
298
+ return *this;
299
+ }
300
+ #endif
301
+
302
+ template <typename U>
303
+ explicit constexpr operator std::complex<U>() const {
304
+ return std::complex<U>(std::complex<T>(real(), imag()));
305
+ }
306
+
307
+ #if defined(__CUDACC__) || defined(__HIPCC__)
308
+ template <typename U>
309
+ C10_HOST_DEVICE explicit operator thrust::complex<U>() const {
310
+ return static_cast<thrust::complex<U>>(thrust::complex<T>(real(), imag()));
311
+ }
312
+ #endif
313
+
314
+ // consistent with NumPy behavior
315
+ explicit constexpr operator bool() const {
316
+ return real() || imag();
317
+ }
318
+
319
+ C10_HOST_DEVICE constexpr T real() const {
320
+ return real_;
321
+ }
322
+ constexpr void real(T value) {
323
+ real_ = value;
324
+ }
325
+ constexpr T imag() const {
326
+ return imag_;
327
+ }
328
+ constexpr void imag(T value) {
329
+ imag_ = value;
330
+ }
331
+ };
332
+
333
+ namespace complex_literals {
334
+
335
+ constexpr complex<float> operator"" _if(long double imag) {
336
+ return complex<float>(0.0f, static_cast<float>(imag));
337
+ }
338
+
339
+ constexpr complex<double> operator"" _id(long double imag) {
340
+ return complex<double>(0.0, static_cast<double>(imag));
341
+ }
342
+
343
+ constexpr complex<float> operator"" _if(unsigned long long imag) {
344
+ return complex<float>(0.0f, static_cast<float>(imag));
345
+ }
346
+
347
+ constexpr complex<double> operator"" _id(unsigned long long imag) {
348
+ return complex<double>(0.0, static_cast<double>(imag));
349
+ }
350
+
351
+ } // namespace complex_literals
352
+
353
+ template <typename T>
354
+ constexpr complex<T> operator+(const complex<T>& val) {
355
+ return val;
356
+ }
357
+
358
+ template <typename T>
359
+ constexpr complex<T> operator-(const complex<T>& val) {
360
+ return complex<T>(-val.real(), -val.imag());
361
+ }
362
+
363
+ template <typename T>
364
+ constexpr complex<T> operator+(const complex<T>& lhs, const complex<T>& rhs) {
365
+ complex<T> result = lhs;
366
+ return result += rhs;
367
+ }
368
+
369
+ template <typename T>
370
+ constexpr complex<T> operator+(const complex<T>& lhs, const T& rhs) {
371
+ complex<T> result = lhs;
372
+ return result += rhs;
373
+ }
374
+
375
+ template <typename T>
376
+ constexpr complex<T> operator+(const T& lhs, const complex<T>& rhs) {
377
+ return complex<T>(lhs + rhs.real(), rhs.imag());
378
+ }
379
+
380
+ template <typename T>
381
+ constexpr complex<T> operator-(const complex<T>& lhs, const complex<T>& rhs) {
382
+ complex<T> result = lhs;
383
+ return result -= rhs;
384
+ }
385
+
386
+ template <typename T>
387
+ constexpr complex<T> operator-(const complex<T>& lhs, const T& rhs) {
388
+ complex<T> result = lhs;
389
+ return result -= rhs;
390
+ }
391
+
392
+ template <typename T>
393
+ constexpr complex<T> operator-(const T& lhs, const complex<T>& rhs) {
394
+ complex<T> result = -rhs;
395
+ return result += lhs;
396
+ }
397
+
398
+ template <typename T>
399
+ constexpr complex<T> operator*(const complex<T>& lhs, const complex<T>& rhs) {
400
+ complex<T> result = lhs;
401
+ return result *= rhs;
402
+ }
403
+
404
+ template <typename T>
405
+ constexpr complex<T> operator*(const complex<T>& lhs, const T& rhs) {
406
+ complex<T> result = lhs;
407
+ return result *= rhs;
408
+ }
409
+
410
+ template <typename T>
411
+ constexpr complex<T> operator*(const T& lhs, const complex<T>& rhs) {
412
+ complex<T> result = rhs;
413
+ return result *= lhs;
414
+ }
415
+
416
+ template <typename T>
417
+ constexpr complex<T> operator/(const complex<T>& lhs, const complex<T>& rhs) {
418
+ complex<T> result = lhs;
419
+ return result /= rhs;
420
+ }
421
+
422
+ template <typename T>
423
+ constexpr complex<T> operator/(const complex<T>& lhs, const T& rhs) {
424
+ complex<T> result = lhs;
425
+ return result /= rhs;
426
+ }
427
+
428
+ template <typename T>
429
+ constexpr complex<T> operator/(const T& lhs, const complex<T>& rhs) {
430
+ complex<T> result(lhs, T());
431
+ return result /= rhs;
432
+ }
433
+
434
+ // Define operators between integral scalars and c10::complex. std::complex does
435
+ // not support this when T is a floating-point number. This is useful because it
436
+ // saves a lot of "static_cast" when operate a complex and an integer. This
437
+ // makes the code both less verbose and potentially more efficient.
438
+ #define COMPLEX_INTEGER_OP_TEMPLATE_CONDITION \
439
+ typename std::enable_if_t< \
440
+ std::is_floating_point<fT>::value && std::is_integral<iT>::value, \
441
+ int> = 0
442
+
443
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
444
+ constexpr c10::complex<fT> operator+(const c10::complex<fT>& a, const iT& b) {
445
+ return a + static_cast<fT>(b);
446
+ }
447
+
448
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
449
+ constexpr c10::complex<fT> operator+(const iT& a, const c10::complex<fT>& b) {
450
+ return static_cast<fT>(a) + b;
451
+ }
452
+
453
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
454
+ constexpr c10::complex<fT> operator-(const c10::complex<fT>& a, const iT& b) {
455
+ return a - static_cast<fT>(b);
456
+ }
457
+
458
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
459
+ constexpr c10::complex<fT> operator-(const iT& a, const c10::complex<fT>& b) {
460
+ return static_cast<fT>(a) - b;
461
+ }
462
+
463
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
464
+ constexpr c10::complex<fT> operator*(const c10::complex<fT>& a, const iT& b) {
465
+ return a * static_cast<fT>(b);
466
+ }
467
+
468
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
469
+ constexpr c10::complex<fT> operator*(const iT& a, const c10::complex<fT>& b) {
470
+ return static_cast<fT>(a) * b;
471
+ }
472
+
473
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
474
+ constexpr c10::complex<fT> operator/(const c10::complex<fT>& a, const iT& b) {
475
+ return a / static_cast<fT>(b);
476
+ }
477
+
478
+ template <typename fT, typename iT, COMPLEX_INTEGER_OP_TEMPLATE_CONDITION>
479
+ constexpr c10::complex<fT> operator/(const iT& a, const c10::complex<fT>& b) {
480
+ return static_cast<fT>(a) / b;
481
+ }
482
+
483
+ #undef COMPLEX_INTEGER_OP_TEMPLATE_CONDITION
484
+
485
+ template <typename T>
486
+ constexpr bool operator==(const complex<T>& lhs, const complex<T>& rhs) {
487
+ return (lhs.real() == rhs.real()) && (lhs.imag() == rhs.imag());
488
+ }
489
+
490
+ template <typename T>
491
+ constexpr bool operator==(const complex<T>& lhs, const T& rhs) {
492
+ return (lhs.real() == rhs) && (lhs.imag() == T());
493
+ }
494
+
495
+ template <typename T>
496
+ constexpr bool operator==(const T& lhs, const complex<T>& rhs) {
497
+ return (lhs == rhs.real()) && (T() == rhs.imag());
498
+ }
499
+
500
+ template <typename T>
501
+ constexpr bool operator!=(const complex<T>& lhs, const complex<T>& rhs) {
502
+ return !(lhs == rhs);
503
+ }
504
+
505
+ template <typename T>
506
+ constexpr bool operator!=(const complex<T>& lhs, const T& rhs) {
507
+ return !(lhs == rhs);
508
+ }
509
+
510
+ template <typename T>
511
+ constexpr bool operator!=(const T& lhs, const complex<T>& rhs) {
512
+ return !(lhs == rhs);
513
+ }
514
+
515
+ template <typename T, typename CharT, typename Traits>
516
+ std::basic_ostream<CharT, Traits>& operator<<(
517
+ std::basic_ostream<CharT, Traits>& os,
518
+ const complex<T>& x) {
519
+ return (os << static_cast<std::complex<T>>(x));
520
+ }
521
+
522
+ template <typename T, typename CharT, typename Traits>
523
+ std::basic_istream<CharT, Traits>& operator>>(
524
+ std::basic_istream<CharT, Traits>& is,
525
+ complex<T>& x) {
526
+ std::complex<T> tmp;
527
+ is >> tmp;
528
+ x = tmp;
529
+ return is;
530
+ }
531
+
532
+ } // namespace c10
533
+
534
+ // std functions
535
+ //
536
+ // The implementation of these functions also follow the design of C++20
537
+
538
+ namespace std {
539
+
540
+ template <typename T>
541
+ constexpr T real(const c10::complex<T>& z) {
542
+ return z.real();
543
+ }
544
+
545
+ template <typename T>
546
+ constexpr T imag(const c10::complex<T>& z) {
547
+ return z.imag();
548
+ }
549
+
550
+ template <typename T>
551
+ C10_HOST_DEVICE T abs(const c10::complex<T>& z) {
552
+ #if defined(__CUDACC__) || defined(__HIPCC__)
553
+ return thrust::abs(static_cast<thrust::complex<T>>(z));
554
+ #else
555
+ return std::abs(static_cast<std::complex<T>>(z));
556
+ #endif
557
+ }
558
+
559
+ #if defined(USE_ROCM)
560
+ #define ROCm_Bug(x)
561
+ #else
562
+ #define ROCm_Bug(x) x
563
+ #endif
564
+
565
+ template <typename T>
566
+ C10_HOST_DEVICE T arg(const c10::complex<T>& z) {
567
+ return ROCm_Bug(std)::atan2(std::imag(z), std::real(z));
568
+ }
569
+
570
+ #undef ROCm_Bug
571
+
572
+ template <typename T>
573
+ constexpr T norm(const c10::complex<T>& z) {
574
+ return z.real() * z.real() + z.imag() * z.imag();
575
+ }
576
+
577
+ // For std::conj, there are other versions of it:
578
+ // constexpr std::complex<float> conj( float z );
579
+ // template< class DoubleOrInteger >
580
+ // constexpr std::complex<double> conj( DoubleOrInteger z );
581
+ // constexpr std::complex<long double> conj( long double z );
582
+ // These are not implemented
583
+ // TODO(@zasdfgbnm): implement them as c10::conj
584
+ template <typename T>
585
+ constexpr c10::complex<T> conj(const c10::complex<T>& z) {
586
+ return c10::complex<T>(z.real(), -z.imag());
587
+ }
588
+
589
+ // Thrust does not have complex --> complex version of thrust::proj,
590
+ // so this function is not implemented at c10 right now.
591
+ // TODO(@zasdfgbnm): implement it by ourselves
592
+
593
+ // There is no c10 version of std::polar, because std::polar always
594
+ // returns std::complex. Use c10::polar instead;
595
+
596
+ } // namespace std
597
+
598
+ namespace c10 {
599
+
600
+ template <typename T>
601
+ C10_HOST_DEVICE complex<T> polar(const T& r, const T& theta = T()) {
602
+ #if defined(__CUDACC__) || defined(__HIPCC__)
603
+ return static_cast<complex<T>>(thrust::polar(r, theta));
604
+ #else
605
+ // std::polar() requires r >= 0, so spell out the explicit implementation to
606
+ // avoid a branch.
607
+ return complex<T>(r * std::cos(theta), r * std::sin(theta));
608
+ #endif
609
+ }
610
+
611
+ } // namespace c10
612
+
613
+ C10_CLANG_DIAGNOSTIC_POP()
614
+
615
+ #define C10_INTERNAL_INCLUDE_COMPLEX_REMAINING_H
616
+ // math functions are included in a separate file
617
+ #include <c10/util/complex_math.h> // IWYU pragma: keep
618
+ // utilities for complex types
619
+ #include <c10/util/complex_utils.h> // IWYU pragma: keep
620
+ #undef C10_INTERNAL_INCLUDE_COMPLEX_REMAINING_H
videollama2/lib/python3.10/site-packages/torch/include/c10/util/floating_point_utils.h ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <cstdint>
4
+
5
+ namespace c10::detail {
6
+
7
+ C10_HOST_DEVICE inline float fp32_from_bits(uint32_t w) {
8
+ #if defined(__OPENCL_VERSION__)
9
+ return as_float(w);
10
+ #elif defined(__CUDA_ARCH__)
11
+ return __uint_as_float((unsigned int)w);
12
+ #elif defined(__INTEL_COMPILER)
13
+ return _castu32_f32(w);
14
+ #else
15
+ union {
16
+ uint32_t as_bits;
17
+ float as_value;
18
+ } fp32 = {w};
19
+ return fp32.as_value;
20
+ #endif
21
+ }
22
+
23
+ C10_HOST_DEVICE inline uint32_t fp32_to_bits(float f) {
24
+ #if defined(__OPENCL_VERSION__)
25
+ return as_uint(f);
26
+ #elif defined(__CUDA_ARCH__)
27
+ return (uint32_t)__float_as_uint(f);
28
+ #elif defined(__INTEL_COMPILER)
29
+ return _castf32_u32(f);
30
+ #else
31
+ union {
32
+ float as_value;
33
+ uint32_t as_bits;
34
+ } fp32 = {f};
35
+ return fp32.as_bits;
36
+ #endif
37
+ }
38
+
39
+ } // namespace c10::detail
videollama2/lib/python3.10/site-packages/torch/include/c10/util/in_place.h ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <cstddef>
4
+
5
+ namespace c10 {
6
+
7
+ using std::in_place;
8
+ using std::in_place_index_t;
9
+ using std::in_place_t;
10
+ using std::in_place_type_t;
11
+
12
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/llvmMathExtras.h ADDED
@@ -0,0 +1,905 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ //===-- llvm/Support/MathExtras.h - Useful math functions -------*- C++ -*-===//
2
+ //
3
+ // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4
+ // See https://llvm.org/LICENSE.txt for license information.
5
+ // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6
+ //
7
+ //===----------------------------------------------------------------------===//
8
+ //
9
+ // This file contains some functions that are useful for math stuff.
10
+ //
11
+ //===----------------------------------------------------------------------===//
12
+
13
+ #pragma once
14
+
15
+ #include <c10/util/bit_cast.h>
16
+
17
+ #include <algorithm>
18
+ #include <cassert>
19
+ #include <climits>
20
+ #include <cmath>
21
+ #include <cstdint>
22
+ #include <cstring>
23
+ #include <limits>
24
+ #include <type_traits>
25
+
26
+ #ifdef __ANDROID_NDK__
27
+ #include <android/api-level.h>
28
+ #endif
29
+
30
+ #ifndef __has_builtin
31
+ #define __has_builtin(x) 0
32
+ #endif
33
+
34
+ #ifndef LLVM_GNUC_PREREQ
35
+ #if defined(__GNUC__) && defined(__GNUC_MINOR__) && defined(__GNUC_PATCHLEVEL__)
36
+ #define LLVM_GNUC_PREREQ(maj, min, patch) \
37
+ ((__GNUC__ << 20) + (__GNUC_MINOR__ << 10) + __GNUC_PATCHLEVEL__ >= \
38
+ ((maj) << 20) + ((min) << 10) + (patch))
39
+ #elif defined(__GNUC__) && defined(__GNUC_MINOR__)
40
+ #define LLVM_GNUC_PREREQ(maj, min, patch) \
41
+ ((__GNUC__ << 20) + (__GNUC_MINOR__ << 10) >= ((maj) << 20) + ((min) << 10))
42
+ #else
43
+ #define LLVM_GNUC_PREREQ(maj, min, patch) 0
44
+ #endif
45
+ #endif
46
+
47
+ #ifdef _MSC_VER
48
+ // Declare these intrinsics manually rather including intrin.h. It's very
49
+ // expensive, and MathExtras.h is popular.
50
+ // #include <intrin.h>
51
+ extern "C" {
52
+ unsigned char _BitScanForward(unsigned long* _Index, unsigned long _Mask);
53
+ unsigned char _BitScanForward64(unsigned long* _Index, unsigned __int64 _Mask);
54
+ unsigned char _BitScanReverse(unsigned long* _Index, unsigned long _Mask);
55
+ unsigned char _BitScanReverse64(unsigned long* _Index, unsigned __int64 _Mask);
56
+ }
57
+ #endif
58
+
59
+ namespace c10 {
60
+ namespace llvm {
61
+ /// The behavior an operation has on an input of 0.
62
+ enum ZeroBehavior {
63
+ /// The returned value is undefined.
64
+ ZB_Undefined,
65
+ /// The returned value is numeric_limits<T>::max()
66
+ ZB_Max,
67
+ /// The returned value is numeric_limits<T>::digits
68
+ ZB_Width
69
+ };
70
+
71
+ namespace detail {
72
+ template <typename T, std::size_t SizeOfT>
73
+ struct TrailingZerosCounter {
74
+ static std::size_t count(T Val, ZeroBehavior) {
75
+ if (!Val)
76
+ return std::numeric_limits<T>::digits;
77
+ if (Val & 0x1)
78
+ return 0;
79
+
80
+ // Bisection method.
81
+ std::size_t ZeroBits = 0;
82
+ T Shift = std::numeric_limits<T>::digits >> 1;
83
+ T Mask = std::numeric_limits<T>::max() >> Shift;
84
+ while (Shift) {
85
+ if ((Val & Mask) == 0) {
86
+ Val >>= Shift;
87
+ ZeroBits |= Shift;
88
+ }
89
+ Shift >>= 1;
90
+ Mask >>= Shift;
91
+ }
92
+ return ZeroBits;
93
+ }
94
+ };
95
+
96
+ #if (defined(__GNUC__) && __GNUC__ >= 4) || defined(_MSC_VER)
97
+ template <typename T>
98
+ struct TrailingZerosCounter<T, 4> {
99
+ static std::size_t count(T Val, ZeroBehavior ZB) {
100
+ if (ZB != ZB_Undefined && Val == 0)
101
+ return 32;
102
+
103
+ #if __has_builtin(__builtin_ctz) || LLVM_GNUC_PREREQ(4, 0, 0)
104
+ return __builtin_ctz(Val);
105
+ #elif defined(_MSC_VER)
106
+ unsigned long Index;
107
+ _BitScanForward(&Index, Val);
108
+ return Index;
109
+ #endif
110
+ }
111
+ };
112
+
113
+ #if !defined(_MSC_VER) || defined(_M_X64)
114
+ template <typename T>
115
+ struct TrailingZerosCounter<T, 8> {
116
+ static std::size_t count(T Val, ZeroBehavior ZB) {
117
+ if (ZB != ZB_Undefined && Val == 0)
118
+ return 64;
119
+
120
+ #if __has_builtin(__builtin_ctzll) || LLVM_GNUC_PREREQ(4, 0, 0)
121
+ return __builtin_ctzll(Val);
122
+ #elif defined(_MSC_VER)
123
+ unsigned long Index;
124
+ _BitScanForward64(&Index, Val);
125
+ return Index;
126
+ #endif
127
+ }
128
+ };
129
+ #endif
130
+ #endif
131
+ } // namespace detail
132
+
133
+ /// Count number of 0's from the least significant bit to the most
134
+ /// stopping at the first 1.
135
+ ///
136
+ /// Only unsigned integral types are allowed.
137
+ ///
138
+ /// \param ZB the behavior on an input of 0. Only ZB_Width and ZB_Undefined are
139
+ /// valid arguments.
140
+ template <typename T>
141
+ std::size_t countTrailingZeros(T Val, ZeroBehavior ZB = ZB_Width) {
142
+ static_assert(
143
+ std::numeric_limits<T>::is_integer && !std::numeric_limits<T>::is_signed,
144
+ "Only unsigned integral types are allowed.");
145
+ return llvm::detail::TrailingZerosCounter<T, sizeof(T)>::count(Val, ZB);
146
+ }
147
+
148
+ namespace detail {
149
+ template <typename T, std::size_t SizeOfT>
150
+ struct LeadingZerosCounter {
151
+ static std::size_t count(T Val, ZeroBehavior) {
152
+ if (!Val)
153
+ return std::numeric_limits<T>::digits;
154
+
155
+ // Bisection method.
156
+ std::size_t ZeroBits = 0;
157
+ for (T Shift = std::numeric_limits<T>::digits >> 1; Shift; Shift >>= 1) {
158
+ T Tmp = Val >> Shift;
159
+ if (Tmp)
160
+ Val = Tmp;
161
+ else
162
+ ZeroBits |= Shift;
163
+ }
164
+ return ZeroBits;
165
+ }
166
+ };
167
+
168
+ #if (defined(__GNUC__) && __GNUC__ >= 4) || defined(_MSC_VER)
169
+ template <typename T>
170
+ struct LeadingZerosCounter<T, 4> {
171
+ static std::size_t count(T Val, ZeroBehavior ZB) {
172
+ if (ZB != ZB_Undefined && Val == 0)
173
+ return 32;
174
+
175
+ #if __has_builtin(__builtin_clz) || LLVM_GNUC_PREREQ(4, 0, 0)
176
+ return __builtin_clz(Val);
177
+ #elif defined(_MSC_VER)
178
+ unsigned long Index;
179
+ _BitScanReverse(&Index, Val);
180
+ return Index ^ 31;
181
+ #endif
182
+ }
183
+ };
184
+
185
+ #if !defined(_MSC_VER) || defined(_M_X64)
186
+ template <typename T>
187
+ struct LeadingZerosCounter<T, 8> {
188
+ static std::size_t count(T Val, ZeroBehavior ZB) {
189
+ if (ZB != ZB_Undefined && Val == 0)
190
+ return 64;
191
+
192
+ #if __has_builtin(__builtin_clzll) || LLVM_GNUC_PREREQ(4, 0, 0)
193
+ return __builtin_clzll(Val);
194
+ #elif defined(_MSC_VER)
195
+ unsigned long Index;
196
+ _BitScanReverse64(&Index, Val);
197
+ return Index ^ 63;
198
+ #endif
199
+ }
200
+ };
201
+ #endif
202
+ #endif
203
+ } // namespace detail
204
+
205
+ /// Count number of 0's from the most significant bit to the least
206
+ /// stopping at the first 1.
207
+ ///
208
+ /// Only unsigned integral types are allowed.
209
+ ///
210
+ /// \param ZB the behavior on an input of 0. Only ZB_Width and ZB_Undefined are
211
+ /// valid arguments.
212
+ template <typename T>
213
+ std::size_t countLeadingZeros(T Val, ZeroBehavior ZB = ZB_Width) {
214
+ static_assert(
215
+ std::numeric_limits<T>::is_integer && !std::numeric_limits<T>::is_signed,
216
+ "Only unsigned integral types are allowed.");
217
+ return llvm::detail::LeadingZerosCounter<T, sizeof(T)>::count(Val, ZB);
218
+ }
219
+
220
+ /// Get the index of the first set bit starting from the least
221
+ /// significant bit.
222
+ ///
223
+ /// Only unsigned integral types are allowed.
224
+ ///
225
+ /// \param ZB the behavior on an input of 0. Only ZB_Max and ZB_Undefined are
226
+ /// valid arguments.
227
+ template <typename T>
228
+ T findFirstSet(T Val, ZeroBehavior ZB = ZB_Max) {
229
+ if (ZB == ZB_Max && Val == 0)
230
+ return std::numeric_limits<T>::max();
231
+
232
+ return countTrailingZeros(Val, ZB_Undefined);
233
+ }
234
+
235
+ /// Create a bitmask with the N right-most bits set to 1, and all other
236
+ /// bits set to 0. Only unsigned types are allowed.
237
+ template <typename T>
238
+ T maskTrailingOnes(unsigned N) {
239
+ static_assert(std::is_unsigned<T>::value, "Invalid type!");
240
+ const unsigned Bits = CHAR_BIT * sizeof(T);
241
+ assert(N <= Bits && "Invalid bit index");
242
+ return N == 0 ? 0 : (T(-1) >> (Bits - N));
243
+ }
244
+
245
+ /// Create a bitmask with the N left-most bits set to 1, and all other
246
+ /// bits set to 0. Only unsigned types are allowed.
247
+ template <typename T>
248
+ T maskLeadingOnes(unsigned N) {
249
+ return ~maskTrailingOnes<T>(CHAR_BIT * sizeof(T) - N);
250
+ }
251
+
252
+ /// Create a bitmask with the N right-most bits set to 0, and all other
253
+ /// bits set to 1. Only unsigned types are allowed.
254
+ template <typename T>
255
+ T maskTrailingZeros(unsigned N) {
256
+ return maskLeadingOnes<T>(CHAR_BIT * sizeof(T) - N);
257
+ }
258
+
259
+ /// Create a bitmask with the N left-most bits set to 0, and all other
260
+ /// bits set to 1. Only unsigned types are allowed.
261
+ template <typename T>
262
+ T maskLeadingZeros(unsigned N) {
263
+ return maskTrailingOnes<T>(CHAR_BIT * sizeof(T) - N);
264
+ }
265
+
266
+ /// Get the index of the last set bit starting from the least
267
+ /// significant bit.
268
+ ///
269
+ /// Only unsigned integral types are allowed.
270
+ ///
271
+ /// \param ZB the behavior on an input of 0. Only ZB_Max and ZB_Undefined are
272
+ /// valid arguments.
273
+ template <typename T>
274
+ T findLastSet(T Val, ZeroBehavior ZB = ZB_Max) {
275
+ if (ZB == ZB_Max && Val == 0)
276
+ return std::numeric_limits<T>::max();
277
+
278
+ // Use ^ instead of - because both gcc and llvm can remove the associated ^
279
+ // in the __builtin_clz intrinsic on x86.
280
+ return countLeadingZeros(Val, ZB_Undefined) ^
281
+ (std::numeric_limits<T>::digits - 1);
282
+ }
283
+
284
+ /// Macro compressed bit reversal table for 256 bits.
285
+ ///
286
+ /// http://graphics.stanford.edu/~seander/bithacks.html#BitReverseTable
287
+ static const unsigned char BitReverseTable256[256] = {
288
+ #define R2(n) n, n + 2 * 64, n + 1 * 64, n + 3 * 64
289
+ #define R4(n) R2(n), R2(n + 2 * 16), R2(n + 1 * 16), R2(n + 3 * 16)
290
+ #define R6(n) R4(n), R4(n + 2 * 4), R4(n + 1 * 4), R4(n + 3 * 4)
291
+ R6(0),
292
+ R6(2),
293
+ R6(1),
294
+ R6(3)
295
+ #undef R2
296
+ #undef R4
297
+ #undef R6
298
+ };
299
+
300
+ /// Reverse the bits in \p Val.
301
+ template <typename T>
302
+ T reverseBits(T Val) {
303
+ unsigned char in[sizeof(Val)];
304
+ unsigned char out[sizeof(Val)];
305
+ std::memcpy(in, &Val, sizeof(Val));
306
+ for (unsigned i = 0; i < sizeof(Val); ++i)
307
+ out[(sizeof(Val) - i) - 1] = BitReverseTable256[in[i]];
308
+ std::memcpy(&Val, out, sizeof(Val));
309
+ return Val;
310
+ }
311
+
312
+ // NOTE: The following support functions use the _32/_64 extensions instead of
313
+ // type overloading so that signed and unsigned integers can be used without
314
+ // ambiguity.
315
+
316
+ /// Return the high 32 bits of a 64 bit value.
317
+ constexpr inline uint32_t Hi_32(uint64_t Value) {
318
+ return static_cast<uint32_t>(Value >> 32);
319
+ }
320
+
321
+ /// Return the low 32 bits of a 64 bit value.
322
+ constexpr inline uint32_t Lo_32(uint64_t Value) {
323
+ return static_cast<uint32_t>(Value);
324
+ }
325
+
326
+ /// Make a 64-bit integer from a high / low pair of 32-bit integers.
327
+ constexpr inline uint64_t Make_64(uint32_t High, uint32_t Low) {
328
+ return ((uint64_t)High << 32) | (uint64_t)Low;
329
+ }
330
+
331
+ /// Checks if an integer fits into the given bit width.
332
+ template <unsigned N>
333
+ constexpr inline bool isInt(int64_t x) {
334
+ return N >= 64 ||
335
+ (-(INT64_C(1) << (N - 1)) <= x && x < (INT64_C(1) << (N - 1)));
336
+ }
337
+ // Template specializations to get better code for common cases.
338
+ template <>
339
+ constexpr inline bool isInt<8>(int64_t x) {
340
+ return static_cast<int8_t>(x) == x;
341
+ }
342
+ template <>
343
+ constexpr inline bool isInt<16>(int64_t x) {
344
+ return static_cast<int16_t>(x) == x;
345
+ }
346
+ template <>
347
+ constexpr inline bool isInt<32>(int64_t x) {
348
+ return static_cast<int32_t>(x) == x;
349
+ }
350
+
351
+ /// Checks if a signed integer is an N bit number shifted left by S.
352
+ template <unsigned N, unsigned S>
353
+ constexpr inline bool isShiftedInt(int64_t x) {
354
+ static_assert(
355
+ N > 0, "isShiftedInt<0> doesn't make sense (refers to a 0-bit number.");
356
+ static_assert(N + S <= 64, "isShiftedInt<N, S> with N + S > 64 is too wide.");
357
+ return isInt<N + S>(x) && (x % (UINT64_C(1) << S) == 0);
358
+ }
359
+
360
+ /// Checks if an unsigned integer fits into the given bit width.
361
+ ///
362
+ /// This is written as two functions rather than as simply
363
+ ///
364
+ /// return N >= 64 || X < (UINT64_C(1) << N);
365
+ ///
366
+ /// to keep MSVC from (incorrectly) warning on isUInt<64> that we're shifting
367
+ /// left too many places.
368
+ template <unsigned N>
369
+ constexpr inline typename std::enable_if<(N < 64), bool>::type isUInt(
370
+ uint64_t X) {
371
+ static_assert(N > 0, "isUInt<0> doesn't make sense");
372
+ return X < (UINT64_C(1) << (N));
373
+ }
374
+ template <unsigned N>
375
+ constexpr inline typename std::enable_if<N >= 64, bool>::type isUInt(
376
+ uint64_t /*X*/) {
377
+ return true;
378
+ }
379
+
380
+ // Template specializations to get better code for common cases.
381
+ template <>
382
+ constexpr inline bool isUInt<8>(uint64_t x) {
383
+ return static_cast<uint8_t>(x) == x;
384
+ }
385
+ template <>
386
+ constexpr inline bool isUInt<16>(uint64_t x) {
387
+ return static_cast<uint16_t>(x) == x;
388
+ }
389
+ template <>
390
+ constexpr inline bool isUInt<32>(uint64_t x) {
391
+ return static_cast<uint32_t>(x) == x;
392
+ }
393
+
394
+ /// Checks if a unsigned integer is an N bit number shifted left by S.
395
+ template <unsigned N, unsigned S>
396
+ constexpr inline bool isShiftedUInt(uint64_t x) {
397
+ static_assert(
398
+ N > 0, "isShiftedUInt<0> doesn't make sense (refers to a 0-bit number)");
399
+ static_assert(
400
+ N + S <= 64, "isShiftedUInt<N, S> with N + S > 64 is too wide.");
401
+ // Per the two static_asserts above, S must be strictly less than 64. So
402
+ // 1 << S is not undefined behavior.
403
+ return isUInt<N + S>(x) && (x % (UINT64_C(1) << S) == 0);
404
+ }
405
+
406
+ /// Gets the maximum value for a N-bit unsigned integer.
407
+ inline uint64_t maxUIntN(uint64_t N) {
408
+ assert(N > 0 && N <= 64 && "integer width out of range");
409
+
410
+ // uint64_t(1) << 64 is undefined behavior, so we can't do
411
+ // (uint64_t(1) << N) - 1
412
+ // without checking first that N != 64. But this works and doesn't have a
413
+ // branch.
414
+ return UINT64_MAX >> (64 - N);
415
+ }
416
+
417
+ // Ignore the false warning "Arithmetic overflow" for MSVC
418
+ #ifdef _MSC_VER
419
+ #pragma warning(push)
420
+ #pragma warning(disable : 4146)
421
+ #endif
422
+
423
+ /// Gets the minimum value for a N-bit signed integer.
424
+ inline int64_t minIntN(int64_t N) {
425
+ assert(N > 0 && N <= 64 && "integer width out of range");
426
+
427
+ return -(UINT64_C(1) << (N - 1));
428
+ }
429
+
430
+ #ifdef _MSC_VER
431
+ #pragma warning(pop)
432
+ #endif
433
+
434
+ /// Gets the maximum value for a N-bit signed integer.
435
+ inline int64_t maxIntN(int64_t N) {
436
+ assert(N > 0 && N <= 64 && "integer width out of range");
437
+
438
+ // This relies on two's complement wraparound when N == 64, so we convert to
439
+ // int64_t only at the very end to avoid UB.
440
+ return (UINT64_C(1) << (N - 1)) - 1;
441
+ }
442
+
443
+ /// Checks if an unsigned integer fits into the given (dynamic) bit width.
444
+ inline bool isUIntN(unsigned N, uint64_t x) {
445
+ return N >= 64 || x <= maxUIntN(N);
446
+ }
447
+
448
+ /// Checks if an signed integer fits into the given (dynamic) bit width.
449
+ inline bool isIntN(unsigned N, int64_t x) {
450
+ return N >= 64 || (minIntN(N) <= x && x <= maxIntN(N));
451
+ }
452
+
453
+ /// Return true if the argument is a non-empty sequence of ones starting at the
454
+ /// least significant bit with the remainder zero (32 bit version).
455
+ /// Ex. isMask_32(0x0000FFFFU) == true.
456
+ constexpr inline bool isMask_32(uint32_t Value) {
457
+ return Value && ((Value + 1) & Value) == 0;
458
+ }
459
+
460
+ /// Return true if the argument is a non-empty sequence of ones starting at the
461
+ /// least significant bit with the remainder zero (64 bit version).
462
+ constexpr inline bool isMask_64(uint64_t Value) {
463
+ return Value && ((Value + 1) & Value) == 0;
464
+ }
465
+
466
+ /// Return true if the argument contains a non-empty sequence of ones with the
467
+ /// remainder zero (32 bit version.) Ex. isShiftedMask_32(0x0000FF00U) == true.
468
+ constexpr inline bool isShiftedMask_32(uint32_t Value) {
469
+ return Value && isMask_32((Value - 1) | Value);
470
+ }
471
+
472
+ /// Return true if the argument contains a non-empty sequence of ones with the
473
+ /// remainder zero (64 bit version.)
474
+ constexpr inline bool isShiftedMask_64(uint64_t Value) {
475
+ return Value && isMask_64((Value - 1) | Value);
476
+ }
477
+
478
+ /// Return true if the argument is a power of two > 0.
479
+ /// Ex. isPowerOf2_32(0x00100000U) == true (32 bit edition.)
480
+ constexpr inline bool isPowerOf2_32(uint32_t Value) {
481
+ return Value && !(Value & (Value - 1));
482
+ }
483
+
484
+ /// Return true if the argument is a power of two > 0 (64 bit edition.)
485
+ constexpr inline bool isPowerOf2_64(uint64_t Value) {
486
+ return Value && !(Value & (Value - 1));
487
+ }
488
+
489
+ /// Count the number of ones from the most significant bit to the first
490
+ /// zero bit.
491
+ ///
492
+ /// Ex. countLeadingOnes(0xFF0FFF00) == 8.
493
+ /// Only unsigned integral types are allowed.
494
+ ///
495
+ /// \param ZB the behavior on an input of all ones. Only ZB_Width and
496
+ /// ZB_Undefined are valid arguments.
497
+ template <typename T>
498
+ std::size_t countLeadingOnes(T Value, ZeroBehavior ZB = ZB_Width) {
499
+ static_assert(
500
+ std::numeric_limits<T>::is_integer && !std::numeric_limits<T>::is_signed,
501
+ "Only unsigned integral types are allowed.");
502
+ return countLeadingZeros<T>(~Value, ZB);
503
+ }
504
+
505
+ /// Count the number of ones from the least significant bit to the first
506
+ /// zero bit.
507
+ ///
508
+ /// Ex. countTrailingOnes(0x00FF00FF) == 8.
509
+ /// Only unsigned integral types are allowed.
510
+ ///
511
+ /// \param ZB the behavior on an input of all ones. Only ZB_Width and
512
+ /// ZB_Undefined are valid arguments.
513
+ template <typename T>
514
+ std::size_t countTrailingOnes(T Value, ZeroBehavior ZB = ZB_Width) {
515
+ static_assert(
516
+ std::numeric_limits<T>::is_integer && !std::numeric_limits<T>::is_signed,
517
+ "Only unsigned integral types are allowed.");
518
+ return countTrailingZeros<T>(~Value, ZB);
519
+ }
520
+
521
+ namespace detail {
522
+ template <typename T, std::size_t SizeOfT>
523
+ struct PopulationCounter {
524
+ static unsigned count(T Value) {
525
+ // Generic version, forward to 32 bits.
526
+ static_assert(SizeOfT <= 4, "Not implemented!");
527
+ #if defined(__GNUC__) && __GNUC__ >= 4
528
+ return __builtin_popcount(Value);
529
+ #else
530
+ uint32_t v = Value;
531
+ v = v - ((v >> 1) & 0x55555555);
532
+ v = (v & 0x33333333) + ((v >> 2) & 0x33333333);
533
+ return ((v + (v >> 4) & 0xF0F0F0F) * 0x1010101) >> 24;
534
+ #endif
535
+ }
536
+ };
537
+
538
+ template <typename T>
539
+ struct PopulationCounter<T, 8> {
540
+ static unsigned count(T Value) {
541
+ #if defined(__GNUC__) && __GNUC__ >= 4
542
+ return __builtin_popcountll(Value);
543
+ #else
544
+ uint64_t v = Value;
545
+ v = v - ((v >> 1) & 0x5555555555555555ULL);
546
+ v = (v & 0x3333333333333333ULL) + ((v >> 2) & 0x3333333333333333ULL);
547
+ v = (v + (v >> 4)) & 0x0F0F0F0F0F0F0F0FULL;
548
+ return unsigned((uint64_t)(v * 0x0101010101010101ULL) >> 56);
549
+ #endif
550
+ }
551
+ };
552
+ } // namespace detail
553
+
554
+ /// Count the number of set bits in a value.
555
+ /// Ex. countPopulation(0xF000F000) = 8
556
+ /// Returns 0 if the word is zero.
557
+ template <typename T>
558
+ inline unsigned countPopulation(T Value) {
559
+ static_assert(
560
+ std::numeric_limits<T>::is_integer && !std::numeric_limits<T>::is_signed,
561
+ "Only unsigned integral types are allowed.");
562
+ return detail::PopulationCounter<T, sizeof(T)>::count(Value);
563
+ }
564
+
565
+ /// Return the log base 2 of the specified value.
566
+ inline double Log2(double Value) {
567
+ #if defined(__ANDROID_API__) && __ANDROID_API__ < 18
568
+ return __builtin_log(Value) / __builtin_log(2.0);
569
+ #else
570
+ return log2(Value);
571
+ #endif
572
+ }
573
+
574
+ /// Return the floor log base 2 of the specified value, -1 if the value is zero.
575
+ /// (32 bit edition.)
576
+ /// Ex. Log2_32(32) == 5, Log2_32(1) == 0, Log2_32(0) == -1, Log2_32(6) == 2
577
+ inline unsigned Log2_32(uint32_t Value) {
578
+ return static_cast<unsigned>(31 - countLeadingZeros(Value));
579
+ }
580
+
581
+ /// Return the floor log base 2 of the specified value, -1 if the value is zero.
582
+ /// (64 bit edition.)
583
+ inline unsigned Log2_64(uint64_t Value) {
584
+ return static_cast<unsigned>(63 - countLeadingZeros(Value));
585
+ }
586
+
587
+ /// Return the ceil log base 2 of the specified value, 32 if the value is zero.
588
+ /// (32 bit edition).
589
+ /// Ex. Log2_32_Ceil(32) == 5, Log2_32_Ceil(1) == 0, Log2_32_Ceil(6) == 3
590
+ inline unsigned Log2_32_Ceil(uint32_t Value) {
591
+ return static_cast<unsigned>(32 - countLeadingZeros(Value - 1));
592
+ }
593
+
594
+ /// Return the ceil log base 2 of the specified value, 64 if the value is zero.
595
+ /// (64 bit edition.)
596
+ inline unsigned Log2_64_Ceil(uint64_t Value) {
597
+ return static_cast<unsigned>(64 - countLeadingZeros(Value - 1));
598
+ }
599
+
600
+ /// Return the greatest common divisor of the values using Euclid's algorithm.
601
+ inline uint64_t GreatestCommonDivisor64(uint64_t A, uint64_t B) {
602
+ while (B) {
603
+ uint64_t T = B;
604
+ B = A % B;
605
+ A = T;
606
+ }
607
+ return A;
608
+ }
609
+
610
+ /// This function takes a 64-bit integer and returns the bit equivalent double.
611
+ inline double BitsToDouble(uint64_t Bits) {
612
+ // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
613
+ double D;
614
+ static_assert(sizeof(uint64_t) == sizeof(double), "Unexpected type sizes");
615
+ memcpy(&D, &Bits, sizeof(Bits));
616
+ return D;
617
+ }
618
+
619
+ /// This function takes a 32-bit integer and returns the bit equivalent float.
620
+ inline float BitsToFloat(uint32_t Bits) {
621
+ // TODO: Use std::bit_cast once C++20 becomes available.
622
+ return c10::bit_cast<float>(Bits);
623
+ }
624
+
625
+ /// This function takes a double and returns the bit equivalent 64-bit integer.
626
+ /// Note that copying doubles around changes the bits of NaNs on some hosts,
627
+ /// notably x86, so this routine cannot be used if these bits are needed.
628
+ inline uint64_t DoubleToBits(double Double) {
629
+ // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
630
+ uint64_t Bits;
631
+ static_assert(sizeof(uint64_t) == sizeof(double), "Unexpected type sizes");
632
+ memcpy(&Bits, &Double, sizeof(Double));
633
+ return Bits;
634
+ }
635
+
636
+ /// This function takes a float and returns the bit equivalent 32-bit integer.
637
+ /// Note that copying floats around changes the bits of NaNs on some hosts,
638
+ /// notably x86, so this routine cannot be used if these bits are needed.
639
+ inline uint32_t FloatToBits(float Float) {
640
+ // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
641
+ uint32_t Bits;
642
+ static_assert(sizeof(uint32_t) == sizeof(float), "Unexpected type sizes");
643
+ memcpy(&Bits, &Float, sizeof(Float));
644
+ return Bits;
645
+ }
646
+
647
+ /// A and B are either alignments or offsets. Return the minimum alignment that
648
+ /// may be assumed after adding the two together.
649
+ constexpr inline uint64_t MinAlign(uint64_t A, uint64_t B) {
650
+ // The largest power of 2 that divides both A and B.
651
+ //
652
+ // Replace "-Value" by "1+~Value" in the following commented code to avoid
653
+ // MSVC warning C4146
654
+ // return (A | B) & -(A | B);
655
+ return (A | B) & (1 + ~(A | B));
656
+ }
657
+
658
+ /// Aligns \c Addr to \c Alignment bytes, rounding up.
659
+ ///
660
+ /// Alignment should be a power of two. This method rounds up, so
661
+ /// alignAddr(7, 4) == 8 and alignAddr(8, 4) == 8.
662
+ inline uintptr_t alignAddr(const void* Addr, size_t Alignment) {
663
+ assert(
664
+ Alignment && isPowerOf2_64((uint64_t)Alignment) &&
665
+ "Alignment is not a power of two!");
666
+
667
+ assert((uintptr_t)Addr + Alignment - 1 >= (uintptr_t)Addr);
668
+
669
+ return (((uintptr_t)Addr + Alignment - 1) & ~(uintptr_t)(Alignment - 1));
670
+ }
671
+
672
+ /// Returns the necessary adjustment for aligning \c Ptr to \c Alignment
673
+ /// bytes, rounding up.
674
+ inline size_t alignmentAdjustment(const void* Ptr, size_t Alignment) {
675
+ return alignAddr(Ptr, Alignment) - (uintptr_t)Ptr;
676
+ }
677
+
678
+ /// Returns the next power of two (in 64-bits) that is strictly greater than A.
679
+ /// Returns zero on overflow.
680
+ inline uint64_t NextPowerOf2(uint64_t A) {
681
+ A |= (A >> 1);
682
+ A |= (A >> 2);
683
+ A |= (A >> 4);
684
+ A |= (A >> 8);
685
+ A |= (A >> 16);
686
+ A |= (A >> 32);
687
+ return A + 1;
688
+ }
689
+
690
+ /// Returns the power of two which is less than or equal to the given value.
691
+ /// Essentially, it is a floor operation across the domain of powers of two.
692
+ inline uint64_t PowerOf2Floor(uint64_t A) {
693
+ if (!A)
694
+ return 0;
695
+ return 1ull << (63 - countLeadingZeros(A, ZB_Undefined));
696
+ }
697
+
698
+ /// Returns the power of two which is greater than or equal to the given value.
699
+ /// Essentially, it is a ceil operation across the domain of powers of two.
700
+ inline uint64_t PowerOf2Ceil(uint64_t A) {
701
+ if (!A)
702
+ return 0;
703
+ return NextPowerOf2(A - 1);
704
+ }
705
+
706
+ /// Returns the next integer (mod 2**64) that is greater than or equal to
707
+ /// \p Value and is a multiple of \p Align. \p Align must be non-zero.
708
+ ///
709
+ /// If non-zero \p Skew is specified, the return value will be a minimal
710
+ /// integer that is greater than or equal to \p Value and equal to
711
+ /// \p Align * N + \p Skew for some integer N. If \p Skew is larger than
712
+ /// \p Align, its value is adjusted to '\p Skew mod \p Align'.
713
+ ///
714
+ /// Examples:
715
+ /// \code
716
+ /// alignTo(5, 8) = 8
717
+ /// alignTo(17, 8) = 24
718
+ /// alignTo(~0LL, 8) = 0
719
+ /// alignTo(321, 255) = 510
720
+ ///
721
+ /// alignTo(5, 8, 7) = 7
722
+ /// alignTo(17, 8, 1) = 17
723
+ /// alignTo(~0LL, 8, 3) = 3
724
+ /// alignTo(321, 255, 42) = 552
725
+ /// \endcode
726
+ inline uint64_t alignTo(uint64_t Value, uint64_t Align, uint64_t Skew = 0) {
727
+ assert(Align != 0u && "Align can't be 0.");
728
+ Skew %= Align;
729
+ return (Value + Align - 1 - Skew) / Align * Align + Skew;
730
+ }
731
+
732
+ /// Returns the next integer (mod 2**64) that is greater than or equal to
733
+ /// \p Value and is a multiple of \c Align. \c Align must be non-zero.
734
+ template <uint64_t Align>
735
+ constexpr inline uint64_t alignTo(uint64_t Value) {
736
+ static_assert(Align != 0u, "Align must be non-zero");
737
+ return (Value + Align - 1) / Align * Align;
738
+ }
739
+
740
+ /// Returns the integer ceil(Numerator / Denominator).
741
+ inline uint64_t divideCeil(uint64_t Numerator, uint64_t Denominator) {
742
+ return alignTo(Numerator, Denominator) / Denominator;
743
+ }
744
+
745
+ /// \c alignTo for contexts where a constant expression is required.
746
+ /// \sa alignTo
747
+ ///
748
+ /// \todo FIXME: remove when \c constexpr becomes really \c constexpr
749
+ template <uint64_t Align>
750
+ struct AlignTo {
751
+ static_assert(Align != 0u, "Align must be non-zero");
752
+ template <uint64_t Value>
753
+ struct from_value {
754
+ static const uint64_t value = (Value + Align - 1) / Align * Align;
755
+ };
756
+ };
757
+
758
+ /// Returns the largest uint64_t less than or equal to \p Value and is
759
+ /// \p Skew mod \p Align. \p Align must be non-zero
760
+ inline uint64_t alignDown(uint64_t Value, uint64_t Align, uint64_t Skew = 0) {
761
+ assert(Align != 0u && "Align can't be 0.");
762
+ Skew %= Align;
763
+ return (Value - Skew) / Align * Align + Skew;
764
+ }
765
+
766
+ /// Returns the offset to the next integer (mod 2**64) that is greater than
767
+ /// or equal to \p Value and is a multiple of \p Align. \p Align must be
768
+ /// non-zero.
769
+ inline uint64_t OffsetToAlignment(uint64_t Value, uint64_t Align) {
770
+ return alignTo(Value, Align) - Value;
771
+ }
772
+
773
+ /// Sign-extend the number in the bottom B bits of X to a 32-bit integer.
774
+ /// Requires 0 < B <= 32.
775
+ template <unsigned B>
776
+ constexpr inline int32_t SignExtend32(uint32_t X) {
777
+ static_assert(B > 0, "Bit width can't be 0.");
778
+ static_assert(B <= 32, "Bit width out of range.");
779
+ return int32_t(X << (32 - B)) >> (32 - B);
780
+ }
781
+
782
+ /// Sign-extend the number in the bottom B bits of X to a 32-bit integer.
783
+ /// Requires 0 < B < 32.
784
+ inline int32_t SignExtend32(uint32_t X, unsigned B) {
785
+ assert(B > 0 && "Bit width can't be 0.");
786
+ assert(B <= 32 && "Bit width out of range.");
787
+ return int32_t(X << (32 - B)) >> (32 - B);
788
+ }
789
+
790
+ /// Sign-extend the number in the bottom B bits of X to a 64-bit integer.
791
+ /// Requires 0 < B < 64.
792
+ template <unsigned B>
793
+ constexpr inline int64_t SignExtend64(uint64_t x) {
794
+ static_assert(B > 0, "Bit width can't be 0.");
795
+ static_assert(B <= 64, "Bit width out of range.");
796
+ return int64_t(x << (64 - B)) >> (64 - B);
797
+ }
798
+
799
+ /// Sign-extend the number in the bottom B bits of X to a 64-bit integer.
800
+ /// Requires 0 < B < 64.
801
+ inline int64_t SignExtend64(uint64_t X, unsigned B) {
802
+ assert(B > 0 && "Bit width can't be 0.");
803
+ assert(B <= 64 && "Bit width out of range.");
804
+ return int64_t(X << (64 - B)) >> (64 - B);
805
+ }
806
+
807
+ /// Subtract two unsigned integers, X and Y, of type T and return the absolute
808
+ /// value of the result.
809
+ template <typename T>
810
+ typename std::enable_if<std::is_unsigned<T>::value, T>::type AbsoluteDifference(
811
+ T X,
812
+ T Y) {
813
+ return std::max(X, Y) - std::min(X, Y);
814
+ }
815
+
816
+ /// Add two unsigned integers, X and Y, of type T. Clamp the result to the
817
+ /// maximum representable value of T on overflow. ResultOverflowed indicates if
818
+ /// the result is larger than the maximum representable value of type T.
819
+ template <typename T>
820
+ typename std::enable_if<std::is_unsigned<T>::value, T>::type SaturatingAdd(
821
+ T X,
822
+ T Y,
823
+ bool* ResultOverflowed = nullptr) {
824
+ // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
825
+ bool Dummy;
826
+ bool& Overflowed = ResultOverflowed ? *ResultOverflowed : Dummy;
827
+ // Hacker's Delight, p. 29
828
+ T Z = X + Y;
829
+ Overflowed = (Z < X || Z < Y);
830
+ if (Overflowed)
831
+ return std::numeric_limits<T>::max();
832
+ else
833
+ return Z;
834
+ }
835
+
836
+ /// Multiply two unsigned integers, X and Y, of type T. Clamp the result to the
837
+ /// maximum representable value of T on overflow. ResultOverflowed indicates if
838
+ /// the result is larger than the maximum representable value of type T.
839
+ template <typename T>
840
+ typename std::enable_if<std::is_unsigned<T>::value, T>::type SaturatingMultiply(
841
+ T X,
842
+ T Y,
843
+ bool* ResultOverflowed = nullptr) {
844
+ // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
845
+ bool Dummy;
846
+ bool& Overflowed = ResultOverflowed ? *ResultOverflowed : Dummy;
847
+
848
+ // Hacker's Delight, p. 30 has a different algorithm, but we don't use that
849
+ // because it fails for uint16_t (where multiplication can have undefined
850
+ // behavior due to promotion to int), and requires a division in addition
851
+ // to the multiplication.
852
+
853
+ Overflowed = false;
854
+
855
+ // Log2(Z) would be either Log2Z or Log2Z + 1.
856
+ // Special case: if X or Y is 0, Log2_64 gives -1, and Log2Z
857
+ // will necessarily be less than Log2Max as desired.
858
+ int Log2Z = Log2_64(X) + Log2_64(Y);
859
+ const T Max = std::numeric_limits<T>::max();
860
+ int Log2Max = Log2_64(Max);
861
+ if (Log2Z < Log2Max) {
862
+ return X * Y;
863
+ }
864
+ if (Log2Z > Log2Max) {
865
+ Overflowed = true;
866
+ return Max;
867
+ }
868
+
869
+ // We're going to use the top bit, and maybe overflow one
870
+ // bit past it. Multiply all but the bottom bit then add
871
+ // that on at the end.
872
+ T Z = (X >> 1) * Y;
873
+ if (Z & ~(Max >> 1)) {
874
+ Overflowed = true;
875
+ return Max;
876
+ }
877
+ Z <<= 1;
878
+ if (X & 1)
879
+ return SaturatingAdd(Z, Y, ResultOverflowed);
880
+
881
+ return Z;
882
+ }
883
+
884
+ /// Multiply two unsigned integers, X and Y, and add the unsigned integer, A to
885
+ /// the product. Clamp the result to the maximum representable value of T on
886
+ /// overflow. ResultOverflowed indicates if the result is larger than the
887
+ /// maximum representable value of type T.
888
+ template <typename T>
889
+ typename std::enable_if<std::is_unsigned<T>::value, T>::type
890
+ SaturatingMultiplyAdd(T X, T Y, T A, bool* ResultOverflowed = nullptr) {
891
+ // NOLINTNEXTLINE(cppcoreguidelines-init-variables)
892
+ bool Dummy;
893
+ bool& Overflowed = ResultOverflowed ? *ResultOverflowed : Dummy;
894
+
895
+ T Product = SaturatingMultiply(X, Y, &Overflowed);
896
+ if (Overflowed)
897
+ return Product;
898
+
899
+ return SaturatingAdd(A, Product, &Overflowed);
900
+ }
901
+
902
+ /// Use this rather than HUGE_VALF; the latter causes warnings on MSVC.
903
+ extern const float huge_valf;
904
+ } // namespace llvm
905
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/math_compat.h ADDED
@@ -0,0 +1,256 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <cmath>
4
+
5
+ // Android NDK platform < 21 with libstdc++ has spotty C++11 support.
6
+ // Various hacks in this header allow the rest of the codebase to use
7
+ // standard APIs.
8
+ #if (defined(__ANDROID__) && __ANDROID_API__ < 21 && defined(__GLIBCXX__)) || \
9
+ defined(__NEWLIB__)
10
+ #include <stdexcept>
11
+
12
+ namespace std {
13
+ // Import double versions of these functions from the global namespace.
14
+ using ::acosh;
15
+ using ::asinh;
16
+ using ::atanh;
17
+ using ::erf;
18
+ using ::erfc;
19
+ using ::expm1;
20
+ using ::lgamma;
21
+ using ::log1p;
22
+ using ::nearbyint;
23
+ using ::round;
24
+ using ::tgamma;
25
+ using ::trunc;
26
+ using ::truncf;
27
+
28
+ // Define float versions the same way as more recent libstdc++
29
+ inline float acosh(float x) {
30
+ return __builtin_acoshf(x);
31
+ }
32
+ inline float asinh(float x) {
33
+ return __builtin_asinhf(x);
34
+ }
35
+ inline float atanh(float x) {
36
+ return __builtin_atanhf(x);
37
+ }
38
+ inline float copysign(float x, float y) {
39
+ return __builtin_copysignf(x, y);
40
+ }
41
+ inline float erf(float x) {
42
+ return __builtin_erff(x);
43
+ }
44
+ inline float erfc(float x) {
45
+ return __builtin_erfcf(x);
46
+ }
47
+ inline float expm1(float x) {
48
+ return __builtin_expm1f(x);
49
+ }
50
+ inline float fmax(float x, float y) {
51
+ return __builtin_fmaxf(x, y);
52
+ }
53
+ inline float fmin(float x, float y) {
54
+ return __builtin_fminf(x, y);
55
+ }
56
+ inline float lgamma(float x) {
57
+ return __builtin_lgammaf(x);
58
+ }
59
+ inline float log1p(float x) {
60
+ return __builtin_log1pf(x);
61
+ }
62
+ inline float nearbyint(float x) {
63
+ return __builtin_nearbyintf(x);
64
+ }
65
+ inline float remainder(float x, float y) {
66
+ return __builtin_remainderf(x, y);
67
+ }
68
+ inline float round(float x) {
69
+ return __builtin_roundf(x);
70
+ }
71
+ inline float tgamma(float x) {
72
+ return __builtin_tgammaf(x);
73
+ }
74
+ inline float trunc(float x) {
75
+ return __builtin_truncf(x);
76
+ }
77
+
78
+ // __builtin_nexttoward isn't doesn't work. It appears to try to
79
+ // link against the global nexttoward function, which is not present
80
+ // prior to API 18. Just bail for now.
81
+ inline float nexttoward(float x, long double y) {
82
+ throw std::runtime_error("std::nexttoward is not present on older Android");
83
+ }
84
+ inline double nexttoward(double x, long double y) {
85
+ throw std::runtime_error("std::nexttoward is not present on older Android");
86
+ }
87
+
88
+ #if !defined(__NEWLIB__)
89
+ // TODO: this function needs to be implemented and tested. Currently just throw
90
+ // an error.
91
+ inline float hypot(float x, float y) {
92
+ throw std::runtime_error("std::hypot is not implemented on older Android");
93
+ }
94
+ inline double hypot(double x, double y) {
95
+ throw std::runtime_error("std::hypot is not implemented on older Android");
96
+ }
97
+ #else
98
+ inline float hypot(float x, float y) {
99
+ return hypot((double)x, (double)y);
100
+ }
101
+ #endif
102
+
103
+ // TODO: this function needs to be implemented and tested. Currently just throw
104
+ // an error.
105
+ inline float igamma(float x, float y) {
106
+ throw std::runtime_error("igamma is not implemented on older Android");
107
+ }
108
+ inline double igamma(double x, double y) {
109
+ throw std::runtime_error("igamma is not implemented on older Android");
110
+ }
111
+ inline float igammac(float x, float y) {
112
+ throw std::runtime_error("igammac is not implemented on older Android");
113
+ }
114
+ inline double igammac(double x, double y) {
115
+ throw std::runtime_error("igammac is not implemented on older Android");
116
+ }
117
+
118
+ // Note: std::signbit returns true for negative zero (-0), but this
119
+ // implementation returns false.
120
+ inline bool signbit(float x) {
121
+ return x < 0;
122
+ }
123
+ inline bool signbit(double x) {
124
+ return x < 0;
125
+ }
126
+ inline bool signbit(long double x) {
127
+ return x < 0;
128
+ }
129
+
130
+ #if !defined(__NEWLIB__)
131
+ // TODO: this function needs to be implemented and tested. Currently just throw
132
+ // an error.
133
+ inline float nextafter(float x, float y) {
134
+ throw std::runtime_error(
135
+ "std::nextafter is not implemented on older Android");
136
+ }
137
+ inline double nextafter(double x, double y) {
138
+ throw std::runtime_error(
139
+ "std::nextafter is not implemented on older Android");
140
+ }
141
+ #else
142
+ inline float nextafter(float x, float y) {
143
+ return nextafter((double)x, (double)y);
144
+ }
145
+ #endif
146
+
147
+ #if !defined(__NEWLIB__)
148
+ // TODO: this function needs to be implemented and tested. Currently just throw
149
+ // an error.
150
+ inline float exp2(float x) {
151
+ throw std::runtime_error("std::exp2 is not implemented on older Android");
152
+ }
153
+ inline double exp2(double x) {
154
+ throw std::runtime_error("std::exp2 is not implemented on older Android");
155
+ }
156
+ #else
157
+ inline float exp2(float x) {
158
+ return exp2((double)x);
159
+ }
160
+ #endif
161
+
162
+ // Define integral versions the same way as more recent libstdc++
163
+ template <typename T>
164
+ typename std::enable_if<std::is_integral<T>::value, double>::type acosh(T x) {
165
+ return __builtin_acosh(x);
166
+ }
167
+ template <typename T>
168
+ typename std::enable_if<std::is_integral<T>::value, double>::type asinh(T x) {
169
+ return __builtin_asinh(x);
170
+ }
171
+ template <typename T>
172
+ typename std::enable_if<std::is_integral<T>::value, double>::type atanh(T x) {
173
+ return __builtin_atanh(x);
174
+ }
175
+ template <typename T>
176
+ typename std::enable_if<std::is_integral<T>::value, double>::type erf(T x) {
177
+ return __builtin_erf(x);
178
+ }
179
+ template <typename T>
180
+ typename std::enable_if<std::is_integral<T>::value, double>::type erfc(T x) {
181
+ return __builtin_erfc(x);
182
+ }
183
+ template <typename T>
184
+ typename std::enable_if<std::is_integral<T>::value, double>::type expm1(T x) {
185
+ return __builtin_expm1(x);
186
+ }
187
+ template <typename T>
188
+ typename std::enable_if<std::is_integral<T>::value, double>::type lgamma(T x) {
189
+ return __builtin_lgamma(x);
190
+ }
191
+ template <typename T>
192
+ typename std::enable_if<std::is_integral<T>::value, double>::type log1p(T x) {
193
+ return __builtin_log1p(x);
194
+ }
195
+ template <typename T>
196
+ typename std::enable_if<std::is_integral<T>::value, double>::type nearbyint(
197
+ T x) {
198
+ return __builtin_nearbyint(x);
199
+ }
200
+ template <typename T>
201
+ typename std::enable_if<std::is_integral<T>::value, double>::type round(T x) {
202
+ return __builtin_round(x);
203
+ }
204
+ template <typename T>
205
+ typename std::enable_if<std::is_integral<T>::value, double>::type tgamma(T x) {
206
+ return __builtin_tgamma(x);
207
+ }
208
+ template <typename T>
209
+ typename std::enable_if<std::is_integral<T>::value, double>::type trunc(T x) {
210
+ return __builtin_trunc(x);
211
+ }
212
+
213
+ // Convoluted definition of these binary functions for overloads other than
214
+ // (float,float) and (double,double). Using a template from __gnu_cxx
215
+ // is dirty, but this code is only enabled on a dead platform, so there
216
+ // shouldn't be any risk of it breaking due to updates.
217
+ template <typename T, typename U>
218
+ typename __gnu_cxx::__promote_2<T, U>::__type fmax(T x, U y) {
219
+ typedef typename __gnu_cxx::__promote_2<T, U>::__type type;
220
+ return fmax(type(x), type(y));
221
+ }
222
+ template <typename T, typename U>
223
+ typename __gnu_cxx::__promote_2<T, U>::__type fmin(T x, U y) {
224
+ typedef typename __gnu_cxx::__promote_2<T, U>::__type type;
225
+ return fmin(type(x), type(y));
226
+ }
227
+ template <typename T, typename U>
228
+ typename __gnu_cxx::__promote_2<T, U>::__type copysign(T x, U y) {
229
+ typedef typename __gnu_cxx::__promote_2<T, U>::__type type;
230
+ return copysign(type(x), type(y));
231
+ }
232
+ template <typename T, typename U>
233
+ typename __gnu_cxx::__promote_2<T, U>::__type remainder(T x, U y) {
234
+ typedef typename __gnu_cxx::__promote_2<T, U>::__type type;
235
+ return remainder(type(x), type(y));
236
+ }
237
+
238
+ // log2 is a macro on Android API < 21, so we need to define it ourselves.
239
+ inline float log2(float arg) {
240
+ return ::log(arg) / ::log(2.0);
241
+ }
242
+ #if !defined(__NEWLIB__)
243
+ inline double log2(double arg) {
244
+ return ::log(arg) / ::log(2.0);
245
+ }
246
+ #endif
247
+ inline long double log2(long double arg) {
248
+ return ::log(arg) / ::log(2.0);
249
+ }
250
+ template <typename T>
251
+ typename std::enable_if<std::is_integral<T>::value, double>::type log2(T x) {
252
+ return ::log(x) / ::log(2.0);
253
+ }
254
+ } // namespace std
255
+
256
+ #endif
videollama2/lib/python3.10/site-packages/torch/include/c10/util/numa.h ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <c10/macros/Export.h>
4
+ #include <c10/util/Flags.h>
5
+ #include <stddef.h>
6
+
7
+ C10_DECLARE_bool(caffe2_cpu_numa_enabled);
8
+
9
+ namespace c10 {
10
+
11
+ /**
12
+ * Check whether NUMA is enabled
13
+ */
14
+ C10_API bool IsNUMAEnabled();
15
+
16
+ /**
17
+ * Bind to a given NUMA node
18
+ */
19
+ C10_API void NUMABind(int numa_node_id);
20
+
21
+ /**
22
+ * Get the NUMA id for a given pointer `ptr`
23
+ */
24
+ C10_API int GetNUMANode(const void* ptr);
25
+
26
+ /**
27
+ * Get number of NUMA nodes
28
+ */
29
+ C10_API int GetNumNUMANodes();
30
+
31
+ /**
32
+ * Move the memory pointed to by `ptr` of a given size to another NUMA node
33
+ */
34
+ C10_API void NUMAMove(void* ptr, size_t size, int numa_node_id);
35
+
36
+ /**
37
+ * Get the current NUMA node id
38
+ */
39
+ C10_API int GetCurrentNUMANode();
40
+
41
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/python_stub.h ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ #pragma once
2
+
3
+ struct _object;
4
+ using PyObject = _object;
videollama2/lib/python3.10/site-packages/torch/include/c10/util/qint8.h ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+ #include <cstdint>
3
+
4
+ #include <c10/macros/Macros.h>
5
+
6
+ namespace c10 {
7
+
8
+ /**
9
+ * This is the data type for quantized Tensors. Right now we only have
10
+ * qint8 which is for 8 bit Tensors, and qint32 for 32 bit int Tensors,
11
+ * we might have 4 bit, 2 bit or 1 bit data types in the future.
12
+ */
13
+ struct alignas(1) qint8 {
14
+ using underlying = int8_t;
15
+ int8_t val_;
16
+ qint8() = default;
17
+ C10_HOST_DEVICE explicit qint8(int8_t val) : val_(val) {}
18
+ };
19
+
20
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/safe_numerics.h ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+ #include <c10/macros/Macros.h>
3
+ #include <c10/util/ArrayRef.h>
4
+
5
+ #include <iterator>
6
+ #include <numeric>
7
+ #include <type_traits>
8
+
9
+ // GCC has __builtin_mul_overflow from before it supported __has_builtin
10
+ #ifdef _MSC_VER
11
+ #define C10_HAS_BUILTIN_OVERFLOW() (0)
12
+ #include <c10/util/llvmMathExtras.h>
13
+ #include <intrin.h>
14
+ #else
15
+ #define C10_HAS_BUILTIN_OVERFLOW() (1)
16
+ #endif
17
+
18
+ namespace c10 {
19
+
20
+ C10_ALWAYS_INLINE bool add_overflows(uint64_t a, uint64_t b, uint64_t* out) {
21
+ #if C10_HAS_BUILTIN_OVERFLOW()
22
+ return __builtin_add_overflow(a, b, out);
23
+ #else
24
+ unsigned long long tmp;
25
+ #if defined(_M_IX86) || defined(_M_X64)
26
+ auto carry = _addcarry_u64(0, a, b, &tmp);
27
+ #else
28
+ tmp = a + b;
29
+ unsigned long long vector = (a & b) ^ ((a ^ b) & ~tmp);
30
+ auto carry = vector >> 63;
31
+ #endif
32
+ *out = tmp;
33
+ return carry;
34
+ #endif
35
+ }
36
+
37
+ C10_ALWAYS_INLINE bool mul_overflows(uint64_t a, uint64_t b, uint64_t* out) {
38
+ #if C10_HAS_BUILTIN_OVERFLOW()
39
+ return __builtin_mul_overflow(a, b, out);
40
+ #else
41
+ *out = a * b;
42
+ // This test isnt exact, but avoids doing integer division
43
+ return (
44
+ (c10::llvm::countLeadingZeros(a) + c10::llvm::countLeadingZeros(b)) < 64);
45
+ #endif
46
+ }
47
+
48
+ C10_ALWAYS_INLINE bool mul_overflows(int64_t a, int64_t b, int64_t* out) {
49
+ #if C10_HAS_BUILTIN_OVERFLOW()
50
+ return __builtin_mul_overflow(a, b, out);
51
+ #else
52
+ volatile int64_t tmp = a * b;
53
+ *out = tmp;
54
+ if (a == 0 || b == 0) {
55
+ return false;
56
+ }
57
+ return !(a == tmp / b);
58
+ #endif
59
+ }
60
+
61
+ template <typename It>
62
+ bool safe_multiplies_u64(It first, It last, uint64_t* out) {
63
+ #if C10_HAS_BUILTIN_OVERFLOW()
64
+ uint64_t prod = 1;
65
+ bool overflow = false;
66
+ for (; first != last; ++first) {
67
+ overflow |= c10::mul_overflows(prod, *first, &prod);
68
+ }
69
+ *out = prod;
70
+ return overflow;
71
+ #else
72
+ uint64_t prod = 1;
73
+ uint64_t prod_log2 = 0;
74
+ bool is_zero = false;
75
+ for (; first != last; ++first) {
76
+ auto x = static_cast<uint64_t>(*first);
77
+ prod *= x;
78
+ // log2(0) isn't valid, so need to track it specially
79
+ is_zero |= (x == 0);
80
+ prod_log2 += c10::llvm::Log2_64_Ceil(x);
81
+ }
82
+ *out = prod;
83
+ // This test isnt exact, but avoids doing integer division
84
+ return !is_zero && (prod_log2 >= 64);
85
+ #endif
86
+ }
87
+
88
+ template <typename Container>
89
+ bool safe_multiplies_u64(const Container& c, uint64_t* out) {
90
+ return safe_multiplies_u64(c.begin(), c.end(), out);
91
+ }
92
+
93
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/signal_handler.h ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <atomic>
4
+ #include <csignal>
5
+ #include <mutex>
6
+
7
+ #include <c10/macros/Export.h>
8
+
9
+ #if defined(__APPLE__)
10
+ #define C10_SUPPORTS_SIGNAL_HANDLER
11
+ #elif defined(__linux__) && !defined(C10_DISABLE_SIGNAL_HANDLERS)
12
+ #define C10_SUPPORTS_FATAL_SIGNAL_HANDLERS
13
+ #define C10_SUPPORTS_SIGNAL_HANDLER
14
+ #endif
15
+
16
+ #if defined(C10_SUPPORTS_FATAL_SIGNAL_HANDLERS)
17
+ #include <pthread.h>
18
+ #endif
19
+
20
+ namespace c10 {
21
+
22
+ class C10_API SignalHandler {
23
+ public:
24
+ enum class Action { NONE, STOP };
25
+
26
+ // Constructor. Specify what action to take when a signal is received.
27
+ SignalHandler(Action SIGINT_action, Action SIGHUP_action);
28
+ ~SignalHandler();
29
+
30
+ Action CheckForSignals();
31
+
32
+ bool GotSIGINT();
33
+ bool GotSIGHUP();
34
+
35
+ Action SIGINT_action_;
36
+ Action SIGHUP_action_;
37
+ unsigned long my_sigint_count_;
38
+ unsigned long my_sighup_count_;
39
+ };
40
+
41
+ #if defined(C10_SUPPORTS_FATAL_SIGNAL_HANDLERS)
42
+ class C10_API FatalSignalHandler {
43
+ // This works by setting up certain fatal signal handlers. Previous fatal
44
+ // signal handlers will still be called when the signal is raised. Defaults
45
+ // to being off.
46
+ public:
47
+ C10_API void setPrintStackTracesOnFatalSignal(bool print);
48
+ C10_API bool printStackTracesOnFatalSignal();
49
+ static FatalSignalHandler& getInstance();
50
+ virtual ~FatalSignalHandler();
51
+
52
+ protected:
53
+ explicit FatalSignalHandler();
54
+
55
+ private:
56
+ void installFatalSignalHandlers();
57
+ void uninstallFatalSignalHandlers();
58
+ static void fatalSignalHandlerStatic(int signum);
59
+ void fatalSignalHandler(int signum);
60
+ virtual void fatalSignalHandlerPostProcess();
61
+ struct sigaction* getPreviousSigaction(int signum);
62
+ const char* getSignalName(int signum);
63
+ void callPreviousSignalHandler(
64
+ struct sigaction* action,
65
+ int signum,
66
+ siginfo_t* info,
67
+ void* ctx);
68
+ void stacktraceSignalHandler(bool needsLock);
69
+ static void stacktraceSignalHandlerStatic(
70
+ int signum,
71
+ siginfo_t* info,
72
+ void* ctx);
73
+ void stacktraceSignalHandler(int signum, siginfo_t* info, void* ctx);
74
+
75
+ // The mutex protects the bool.
76
+ std::mutex fatalSignalHandlersInstallationMutex;
77
+ bool fatalSignalHandlersInstalled;
78
+ // We need to hold a reference to call the previous SIGUSR2 handler in case
79
+ // we didn't signal it
80
+ struct sigaction previousSigusr2 {};
81
+ // Flag dictating whether the SIGUSR2 handler falls back to previous handlers
82
+ // or is intercepted in order to print a stack trace.
83
+ std::atomic<bool> fatalSignalReceived;
84
+ // Global state set when a fatal signal is received so that backtracing
85
+ // threads know why they're printing a stacktrace.
86
+ const char* fatalSignalName;
87
+ int fatalSignum = -1;
88
+ // This wait condition is used to wait for other threads to finish writing
89
+ // their stack trace when in fatal sig handler (we can't use pthread_join
90
+ // because there's no way to convert from a tid to a pthread_t).
91
+ pthread_cond_t writingCond;
92
+ pthread_mutex_t writingMutex;
93
+
94
+ struct signal_handler {
95
+ const char* name;
96
+ int signum;
97
+ struct sigaction previous;
98
+ };
99
+
100
+ static signal_handler kSignalHandlers[];
101
+ };
102
+
103
+ #endif // defined(C10_SUPPORTS_SIGNAL_HANDLER)
104
+
105
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/sparse_bitset.h ADDED
@@ -0,0 +1,904 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ //===- llvm/ADT/SparseBitVector.h - Efficient Sparse BitVector --*- C++ -*-===//
2
+ //
3
+ // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4
+ // See https://llvm.org/LICENSE.txt for license information.
5
+ // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6
+ //
7
+ //===----------------------------------------------------------------------===//
8
+ //
9
+ // This file defines the SparseBitVector class. See the doxygen comment for
10
+ // SparseBitVector for more details on the algorithm used.
11
+ //
12
+ //===----------------------------------------------------------------------===//
13
+
14
+ #pragma once
15
+ #include <c10/macros/Macros.h>
16
+ #include <c10/util/llvmMathExtras.h>
17
+ #include <cassert>
18
+ #include <climits>
19
+ #include <cstring>
20
+ #include <iterator>
21
+ #include <list>
22
+
23
+ C10_CLANG_DIAGNOSTIC_PUSH()
24
+ #if C10_CLANG_HAS_WARNING("-Wshorten-64-to-32")
25
+ C10_CLANG_DIAGNOSTIC_IGNORE("-Wshorten-64-to-32")
26
+ #endif
27
+
28
+ namespace c10 {
29
+
30
+ /// SparseBitVector is an implementation of a bitvector that is sparse by only
31
+ /// storing the elements that have non-zero bits set. In order to make this
32
+ /// fast for the most common cases, SparseBitVector is implemented as a linked
33
+ /// list of SparseBitVectorElements. We maintain a pointer to the last
34
+ /// SparseBitVectorElement accessed (in the form of a list iterator), in order
35
+ /// to make multiple in-order test/set constant time after the first one is
36
+ /// executed. Note that using vectors to store SparseBitVectorElement's does
37
+ /// not work out very well because it causes insertion in the middle to take
38
+ /// enormous amounts of time with a large amount of bits. Other structures that
39
+ /// have better worst cases for insertion in the middle (various balanced trees,
40
+ /// etc) do not perform as well in practice as a linked list with this iterator
41
+ /// kept up to date. They are also significantly more memory intensive.
42
+
43
+ template <unsigned ElementSize = 128>
44
+ struct SparseBitVectorElement {
45
+ public:
46
+ using BitWord = unsigned long;
47
+ using size_type = unsigned;
48
+ enum {
49
+ BITWORD_SIZE = sizeof(BitWord) * CHAR_BIT,
50
+ BITWORDS_PER_ELEMENT = (ElementSize + BITWORD_SIZE - 1) / BITWORD_SIZE,
51
+ BITS_PER_ELEMENT = ElementSize
52
+ };
53
+
54
+ private:
55
+ // Index of Element in terms of where first bit starts.
56
+ unsigned ElementIndex;
57
+ BitWord Bits[BITWORDS_PER_ELEMENT];
58
+
59
+ SparseBitVectorElement() {
60
+ ElementIndex = ~0U;
61
+ memset(&Bits[0], 0, sizeof(BitWord) * BITWORDS_PER_ELEMENT);
62
+ }
63
+
64
+ public:
65
+ explicit SparseBitVectorElement(unsigned Idx) {
66
+ ElementIndex = Idx;
67
+ memset(&Bits[0], 0, sizeof(BitWord) * BITWORDS_PER_ELEMENT);
68
+ }
69
+
70
+ // Comparison.
71
+ bool operator==(const SparseBitVectorElement& RHS) const {
72
+ if (ElementIndex != RHS.ElementIndex)
73
+ return false;
74
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i)
75
+ if (Bits[i] != RHS.Bits[i])
76
+ return false;
77
+ return true;
78
+ }
79
+
80
+ bool operator!=(const SparseBitVectorElement& RHS) const {
81
+ return !(*this == RHS);
82
+ }
83
+
84
+ // Return the bits that make up word Idx in our element.
85
+ BitWord word(unsigned Idx) const {
86
+ assert(Idx < BITWORDS_PER_ELEMENT);
87
+ return Bits[Idx];
88
+ }
89
+
90
+ unsigned index() const {
91
+ return ElementIndex;
92
+ }
93
+
94
+ bool empty() const {
95
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i)
96
+ if (Bits[i])
97
+ return false;
98
+ return true;
99
+ }
100
+
101
+ void set(unsigned Idx) {
102
+ Bits[Idx / BITWORD_SIZE] |= 1L << (Idx % BITWORD_SIZE);
103
+ }
104
+
105
+ bool test_and_set(unsigned Idx) {
106
+ bool old = test(Idx);
107
+ if (!old) {
108
+ set(Idx);
109
+ return true;
110
+ }
111
+ return false;
112
+ }
113
+
114
+ void reset(unsigned Idx) {
115
+ Bits[Idx / BITWORD_SIZE] &= ~(1L << (Idx % BITWORD_SIZE));
116
+ }
117
+
118
+ bool test(unsigned Idx) const {
119
+ return Bits[Idx / BITWORD_SIZE] & (1L << (Idx % BITWORD_SIZE));
120
+ }
121
+
122
+ size_type count() const {
123
+ unsigned NumBits = 0;
124
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i)
125
+ NumBits += llvm::countPopulation(Bits[i]);
126
+ return NumBits;
127
+ }
128
+
129
+ /// find_first - Returns the index of the first set bit.
130
+ int find_first() const {
131
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i)
132
+ if (Bits[i] != 0)
133
+ return i * BITWORD_SIZE + llvm::countTrailingZeros(Bits[i]);
134
+ throw std::runtime_error("Illegal empty element");
135
+ }
136
+
137
+ /// find_last - Returns the index of the last set bit.
138
+ int find_last() const {
139
+ for (unsigned I = 0; I < BITWORDS_PER_ELEMENT; ++I) {
140
+ unsigned Idx = BITWORDS_PER_ELEMENT - I - 1;
141
+ if (Bits[Idx] != 0)
142
+ return Idx * BITWORD_SIZE + BITWORD_SIZE -
143
+ llvm::countLeadingZeros(Bits[Idx]);
144
+ }
145
+ throw std::runtime_error("Illegal empty element");
146
+ }
147
+
148
+ /// find_next - Returns the index of the next set bit starting from the
149
+ /// "Curr" bit. Returns -1 if the next set bit is not found.
150
+ int find_next(unsigned Curr) const {
151
+ if (Curr >= BITS_PER_ELEMENT)
152
+ return -1;
153
+
154
+ unsigned WordPos = Curr / BITWORD_SIZE;
155
+ unsigned BitPos = Curr % BITWORD_SIZE;
156
+ BitWord Copy = Bits[WordPos];
157
+ assert(
158
+ WordPos <= BITWORDS_PER_ELEMENT && "Word Position outside of element");
159
+
160
+ // Mask off previous bits.
161
+ Copy &= ~0UL << BitPos;
162
+
163
+ if (Copy != 0)
164
+ return WordPos * BITWORD_SIZE + llvm::countTrailingZeros(Copy);
165
+
166
+ // Check subsequent words.
167
+ for (unsigned i = WordPos + 1; i < BITWORDS_PER_ELEMENT; ++i)
168
+ if (Bits[i] != 0)
169
+ return i * BITWORD_SIZE + llvm::countTrailingZeros(Bits[i]);
170
+ return -1;
171
+ }
172
+
173
+ // Union this element with RHS and return true if this one changed.
174
+ bool unionWith(const SparseBitVectorElement& RHS) {
175
+ bool changed = false;
176
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i) {
177
+ BitWord old = changed ? 0 : Bits[i];
178
+
179
+ Bits[i] |= RHS.Bits[i];
180
+ if (!changed && old != Bits[i])
181
+ changed = true;
182
+ }
183
+ return changed;
184
+ }
185
+
186
+ // Return true if we have any bits in common with RHS
187
+ bool intersects(const SparseBitVectorElement& RHS) const {
188
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i) {
189
+ if (RHS.Bits[i] & Bits[i])
190
+ return true;
191
+ }
192
+ return false;
193
+ }
194
+
195
+ // Intersect this Element with RHS and return true if this one changed.
196
+ // BecameZero is set to true if this element became all-zero bits.
197
+ bool intersectWith(const SparseBitVectorElement& RHS, bool& BecameZero) {
198
+ bool changed = false;
199
+ bool allzero = true;
200
+
201
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i) {
202
+ BitWord old = changed ? 0 : Bits[i];
203
+
204
+ Bits[i] &= RHS.Bits[i];
205
+ if (Bits[i] != 0)
206
+ allzero = false;
207
+
208
+ if (!changed && old != Bits[i])
209
+ changed = true;
210
+ }
211
+ BecameZero = allzero;
212
+ return changed;
213
+ }
214
+
215
+ // Intersect this Element with the complement of RHS and return true if this
216
+ // one changed. BecameZero is set to true if this element became all-zero
217
+ // bits.
218
+ bool intersectWithComplement(
219
+ const SparseBitVectorElement& RHS,
220
+ bool& BecameZero) {
221
+ bool changed = false;
222
+ bool allzero = true;
223
+
224
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i) {
225
+ BitWord old = changed ? 0 : Bits[i];
226
+
227
+ Bits[i] &= ~RHS.Bits[i];
228
+ if (Bits[i] != 0)
229
+ allzero = false;
230
+
231
+ if (!changed && old != Bits[i])
232
+ changed = true;
233
+ }
234
+ BecameZero = allzero;
235
+ return changed;
236
+ }
237
+
238
+ // Three argument version of intersectWithComplement that intersects
239
+ // RHS1 & ~RHS2 into this element
240
+ void intersectWithComplement(
241
+ const SparseBitVectorElement& RHS1,
242
+ const SparseBitVectorElement& RHS2,
243
+ bool& BecameZero) {
244
+ bool allzero = true;
245
+
246
+ for (unsigned i = 0; i < BITWORDS_PER_ELEMENT; ++i) {
247
+ Bits[i] = RHS1.Bits[i] & ~RHS2.Bits[i];
248
+ if (Bits[i] != 0)
249
+ allzero = false;
250
+ }
251
+ BecameZero = allzero;
252
+ }
253
+ };
254
+
255
+ template <unsigned ElementSize = 128>
256
+ class SparseBitVector {
257
+ using ElementList = std::list<SparseBitVectorElement<ElementSize>>;
258
+ using ElementListIter = typename ElementList::iterator;
259
+ using ElementListConstIter = typename ElementList::const_iterator;
260
+ enum { BITWORD_SIZE = SparseBitVectorElement<ElementSize>::BITWORD_SIZE };
261
+
262
+ ElementList Elements;
263
+ // Pointer to our current Element. This has no visible effect on the external
264
+ // state of a SparseBitVector, it's just used to improve performance in the
265
+ // common case of testing/modifying bits with similar indices.
266
+ mutable ElementListIter CurrElementIter;
267
+
268
+ // This is like std::lower_bound, except we do linear searching from the
269
+ // current position.
270
+ ElementListIter FindLowerBoundImpl(unsigned ElementIndex) const {
271
+ // We cache a non-const iterator so we're forced to resort to const_cast to
272
+ // get the begin/end in the case where 'this' is const. To avoid duplication
273
+ // of code with the only difference being whether the const cast is present
274
+ // 'this' is always const in this particular function and we sort out the
275
+ // difference in FindLowerBound and FindLowerBoundConst.
276
+ ElementListIter Begin =
277
+ const_cast<SparseBitVector<ElementSize>*>(this)->Elements.begin();
278
+ ElementListIter End =
279
+ const_cast<SparseBitVector<ElementSize>*>(this)->Elements.end();
280
+
281
+ if (Elements.empty()) {
282
+ CurrElementIter = Begin;
283
+ return CurrElementIter;
284
+ }
285
+
286
+ // Make sure our current iterator is valid.
287
+ if (CurrElementIter == End)
288
+ --CurrElementIter;
289
+
290
+ // Search from our current iterator, either backwards or forwards,
291
+ // depending on what element we are looking for.
292
+ ElementListIter ElementIter = CurrElementIter;
293
+ if (CurrElementIter->index() == ElementIndex) {
294
+ return ElementIter;
295
+ } else if (CurrElementIter->index() > ElementIndex) {
296
+ while (ElementIter != Begin && ElementIter->index() > ElementIndex)
297
+ --ElementIter;
298
+ } else {
299
+ while (ElementIter != End && ElementIter->index() < ElementIndex)
300
+ ++ElementIter;
301
+ }
302
+ CurrElementIter = ElementIter;
303
+ return ElementIter;
304
+ }
305
+ ElementListConstIter FindLowerBoundConst(unsigned ElementIndex) const {
306
+ return FindLowerBoundImpl(ElementIndex);
307
+ }
308
+ ElementListIter FindLowerBound(unsigned ElementIndex) {
309
+ return FindLowerBoundImpl(ElementIndex);
310
+ }
311
+
312
+ // Iterator to walk set bits in the bitmap. This iterator is a lot uglier
313
+ // than it would be, in order to be efficient.
314
+ class SparseBitVectorIterator {
315
+ private:
316
+ bool AtEnd;
317
+
318
+ const SparseBitVector<ElementSize>* BitVector = nullptr;
319
+
320
+ // Current element inside of bitmap.
321
+ ElementListConstIter Iter;
322
+
323
+ // Current bit number inside of our bitmap.
324
+ unsigned BitNumber;
325
+
326
+ // Current word number inside of our element.
327
+ unsigned WordNumber;
328
+
329
+ // Current bits from the element.
330
+ typename SparseBitVectorElement<ElementSize>::BitWord Bits;
331
+
332
+ // Move our iterator to the first non-zero bit in the bitmap.
333
+ void AdvanceToFirstNonZero() {
334
+ if (AtEnd)
335
+ return;
336
+ if (BitVector->Elements.empty()) {
337
+ AtEnd = true;
338
+ return;
339
+ }
340
+ Iter = BitVector->Elements.begin();
341
+ BitNumber = Iter->index() * ElementSize;
342
+ unsigned BitPos = Iter->find_first();
343
+ BitNumber += BitPos;
344
+ WordNumber = (BitNumber % ElementSize) / BITWORD_SIZE;
345
+ Bits = Iter->word(WordNumber);
346
+ Bits >>= BitPos % BITWORD_SIZE;
347
+ }
348
+
349
+ // Move our iterator to the next non-zero bit.
350
+ void AdvanceToNextNonZero() {
351
+ if (AtEnd)
352
+ return;
353
+
354
+ while (Bits && !(Bits & 1)) {
355
+ Bits >>= 1;
356
+ BitNumber += 1;
357
+ }
358
+
359
+ // See if we ran out of Bits in this word.
360
+ if (!Bits) {
361
+ int NextSetBitNumber = Iter->find_next(BitNumber % ElementSize);
362
+ // If we ran out of set bits in this element, move to next element.
363
+ if (NextSetBitNumber == -1 || (BitNumber % ElementSize == 0)) {
364
+ ++Iter;
365
+ WordNumber = 0;
366
+
367
+ // We may run out of elements in the bitmap.
368
+ if (Iter == BitVector->Elements.end()) {
369
+ AtEnd = true;
370
+ return;
371
+ }
372
+ // Set up for next non-zero word in bitmap.
373
+ BitNumber = Iter->index() * ElementSize;
374
+ NextSetBitNumber = Iter->find_first();
375
+ BitNumber += NextSetBitNumber;
376
+ WordNumber = (BitNumber % ElementSize) / BITWORD_SIZE;
377
+ Bits = Iter->word(WordNumber);
378
+ Bits >>= NextSetBitNumber % BITWORD_SIZE;
379
+ } else {
380
+ WordNumber = (NextSetBitNumber % ElementSize) / BITWORD_SIZE;
381
+ Bits = Iter->word(WordNumber);
382
+ Bits >>= NextSetBitNumber % BITWORD_SIZE;
383
+ BitNumber = Iter->index() * ElementSize;
384
+ BitNumber += NextSetBitNumber;
385
+ }
386
+ }
387
+ }
388
+
389
+ public:
390
+ SparseBitVectorIterator() = default;
391
+
392
+ SparseBitVectorIterator(
393
+ const SparseBitVector<ElementSize>* RHS,
394
+ bool end = false)
395
+ : BitVector(RHS) {
396
+ Iter = BitVector->Elements.begin();
397
+ BitNumber = 0;
398
+ Bits = 0;
399
+ WordNumber = ~0;
400
+ AtEnd = end;
401
+ AdvanceToFirstNonZero();
402
+ }
403
+
404
+ // Preincrement.
405
+ inline SparseBitVectorIterator& operator++() {
406
+ ++BitNumber;
407
+ Bits >>= 1;
408
+ AdvanceToNextNonZero();
409
+ return *this;
410
+ }
411
+
412
+ // Postincrement.
413
+ inline SparseBitVectorIterator operator++(int) {
414
+ SparseBitVectorIterator tmp = *this;
415
+ ++*this;
416
+ return tmp;
417
+ }
418
+
419
+ // Return the current set bit number.
420
+ unsigned operator*() const {
421
+ return BitNumber;
422
+ }
423
+
424
+ bool operator==(const SparseBitVectorIterator& RHS) const {
425
+ // If they are both at the end, ignore the rest of the fields.
426
+ if (AtEnd && RHS.AtEnd)
427
+ return true;
428
+ // Otherwise they are the same if they have the same bit number and
429
+ // bitmap.
430
+ return AtEnd == RHS.AtEnd && RHS.BitNumber == BitNumber;
431
+ }
432
+
433
+ bool operator!=(const SparseBitVectorIterator& RHS) const {
434
+ return !(*this == RHS);
435
+ }
436
+ };
437
+
438
+ public:
439
+ using iterator = SparseBitVectorIterator;
440
+
441
+ SparseBitVector() : Elements(), CurrElementIter(Elements.begin()) {}
442
+
443
+ SparseBitVector(const SparseBitVector& RHS)
444
+ : Elements(RHS.Elements), CurrElementIter(Elements.begin()) {}
445
+ SparseBitVector(SparseBitVector&& RHS)
446
+ : Elements(std::move(RHS.Elements)), CurrElementIter(Elements.begin()) {}
447
+
448
+ // Clear.
449
+ void clear() {
450
+ Elements.clear();
451
+ }
452
+
453
+ // Assignment
454
+ SparseBitVector& operator=(const SparseBitVector& RHS) {
455
+ if (this == &RHS)
456
+ return *this;
457
+
458
+ Elements = RHS.Elements;
459
+ CurrElementIter = Elements.begin();
460
+ return *this;
461
+ }
462
+ SparseBitVector& operator=(SparseBitVector&& RHS) {
463
+ Elements = std::move(RHS.Elements);
464
+ CurrElementIter = Elements.begin();
465
+ return *this;
466
+ }
467
+
468
+ // Test, Reset, and Set a bit in the bitmap.
469
+ bool test(unsigned Idx) const {
470
+ if (Elements.empty())
471
+ return false;
472
+
473
+ unsigned ElementIndex = Idx / ElementSize;
474
+ ElementListConstIter ElementIter = FindLowerBoundConst(ElementIndex);
475
+
476
+ // If we can't find an element that is supposed to contain this bit, there
477
+ // is nothing more to do.
478
+ if (ElementIter == Elements.end() || ElementIter->index() != ElementIndex)
479
+ return false;
480
+ return ElementIter->test(Idx % ElementSize);
481
+ }
482
+
483
+ void reset(unsigned Idx) {
484
+ if (Elements.empty())
485
+ return;
486
+
487
+ unsigned ElementIndex = Idx / ElementSize;
488
+ ElementListIter ElementIter = FindLowerBound(ElementIndex);
489
+
490
+ // If we can't find an element that is supposed to contain this bit, there
491
+ // is nothing more to do.
492
+ if (ElementIter == Elements.end() || ElementIter->index() != ElementIndex)
493
+ return;
494
+ ElementIter->reset(Idx % ElementSize);
495
+
496
+ // When the element is zeroed out, delete it.
497
+ if (ElementIter->empty()) {
498
+ ++CurrElementIter;
499
+ Elements.erase(ElementIter);
500
+ }
501
+ }
502
+
503
+ void set(unsigned Idx) {
504
+ unsigned ElementIndex = Idx / ElementSize;
505
+ ElementListIter ElementIter;
506
+ if (Elements.empty()) {
507
+ ElementIter = Elements.emplace(Elements.end(), ElementIndex);
508
+ } else {
509
+ ElementIter = FindLowerBound(ElementIndex);
510
+
511
+ if (ElementIter == Elements.end() ||
512
+ ElementIter->index() != ElementIndex) {
513
+ // We may have hit the beginning of our SparseBitVector, in which case,
514
+ // we may need to insert right after this element, which requires moving
515
+ // the current iterator forward one, because insert does insert before.
516
+ if (ElementIter != Elements.end() &&
517
+ ElementIter->index() < ElementIndex)
518
+ ++ElementIter;
519
+ ElementIter = Elements.emplace(ElementIter, ElementIndex);
520
+ }
521
+ }
522
+ CurrElementIter = ElementIter;
523
+
524
+ ElementIter->set(Idx % ElementSize);
525
+ }
526
+
527
+ bool test_and_set(unsigned Idx) {
528
+ bool old = test(Idx);
529
+ if (!old) {
530
+ set(Idx);
531
+ return true;
532
+ }
533
+ return false;
534
+ }
535
+
536
+ bool operator!=(const SparseBitVector& RHS) const {
537
+ return !(*this == RHS);
538
+ }
539
+
540
+ bool operator==(const SparseBitVector& RHS) const {
541
+ ElementListConstIter Iter1 = Elements.begin();
542
+ ElementListConstIter Iter2 = RHS.Elements.begin();
543
+
544
+ for (; Iter1 != Elements.end() && Iter2 != RHS.Elements.end();
545
+ ++Iter1, ++Iter2) {
546
+ if (*Iter1 != *Iter2)
547
+ return false;
548
+ }
549
+ return Iter1 == Elements.end() && Iter2 == RHS.Elements.end();
550
+ }
551
+
552
+ // Union our bitmap with the RHS and return true if we changed.
553
+ bool operator|=(const SparseBitVector& RHS) {
554
+ if (this == &RHS)
555
+ return false;
556
+
557
+ if (empty()) {
558
+ *this = RHS;
559
+ return true;
560
+ }
561
+
562
+ bool changed = false;
563
+ ElementListIter Iter1 = Elements.begin();
564
+ ElementListConstIter Iter2 = RHS.Elements.begin();
565
+
566
+ // If RHS is empty, we are done
567
+ if (RHS.Elements.empty())
568
+ return false;
569
+
570
+ while (Iter2 != RHS.Elements.end()) {
571
+ if (Iter1 == Elements.end() || Iter1->index() > Iter2->index()) {
572
+ Elements.insert(Iter1, *Iter2);
573
+ ++Iter2;
574
+ changed = true;
575
+ } else if (Iter1->index() == Iter2->index()) {
576
+ changed |= Iter1->unionWith(*Iter2);
577
+ ++Iter1;
578
+ ++Iter2;
579
+ } else {
580
+ ++Iter1;
581
+ }
582
+ }
583
+ CurrElementIter = Elements.begin();
584
+ return changed;
585
+ }
586
+
587
+ // Intersect our bitmap with the RHS and return true if ours changed.
588
+ bool operator-=(const SparseBitVector& RHS) {
589
+ return intersectWithComplement(RHS);
590
+ }
591
+
592
+ // Intersect our bitmap with the RHS and return true if ours changed.
593
+ bool operator&=(const SparseBitVector& RHS) {
594
+ if (this == &RHS)
595
+ return false;
596
+
597
+ bool changed = false;
598
+ ElementListIter Iter1 = Elements.begin();
599
+ ElementListConstIter Iter2 = RHS.Elements.begin();
600
+
601
+ // Check if both bitmaps are empty.
602
+ if (Elements.empty() && RHS.Elements.empty())
603
+ return false;
604
+
605
+ // Loop through, intersecting as we go, erasing elements when necessary.
606
+ while (Iter2 != RHS.Elements.end()) {
607
+ if (Iter1 == Elements.end()) {
608
+ CurrElementIter = Elements.begin();
609
+ return changed;
610
+ }
611
+
612
+ if (Iter1->index() > Iter2->index()) {
613
+ ++Iter2;
614
+ } else if (Iter1->index() == Iter2->index()) {
615
+ bool BecameZero;
616
+ changed |= Iter1->intersectWith(*Iter2, BecameZero);
617
+ if (BecameZero) {
618
+ ElementListIter IterTmp = Iter1;
619
+ ++Iter1;
620
+ Elements.erase(IterTmp);
621
+ } else {
622
+ ++Iter1;
623
+ }
624
+ ++Iter2;
625
+ } else {
626
+ ElementListIter IterTmp = Iter1;
627
+ ++Iter1;
628
+ Elements.erase(IterTmp);
629
+ changed = true;
630
+ }
631
+ }
632
+ if (Iter1 != Elements.end()) {
633
+ Elements.erase(Iter1, Elements.end());
634
+ changed = true;
635
+ }
636
+ CurrElementIter = Elements.begin();
637
+ return changed;
638
+ }
639
+
640
+ // Intersect our bitmap with the complement of the RHS and return true
641
+ // if ours changed.
642
+ bool intersectWithComplement(const SparseBitVector& RHS) {
643
+ if (this == &RHS) {
644
+ if (!empty()) {
645
+ clear();
646
+ return true;
647
+ }
648
+ return false;
649
+ }
650
+
651
+ bool changed = false;
652
+ ElementListIter Iter1 = Elements.begin();
653
+ ElementListConstIter Iter2 = RHS.Elements.begin();
654
+
655
+ // If either our bitmap or RHS is empty, we are done
656
+ if (Elements.empty() || RHS.Elements.empty())
657
+ return false;
658
+
659
+ // Loop through, intersecting as we go, erasing elements when necessary.
660
+ while (Iter2 != RHS.Elements.end()) {
661
+ if (Iter1 == Elements.end()) {
662
+ CurrElementIter = Elements.begin();
663
+ return changed;
664
+ }
665
+
666
+ if (Iter1->index() > Iter2->index()) {
667
+ ++Iter2;
668
+ } else if (Iter1->index() == Iter2->index()) {
669
+ bool BecameZero;
670
+ changed |= Iter1->intersectWithComplement(*Iter2, BecameZero);
671
+ if (BecameZero) {
672
+ ElementListIter IterTmp = Iter1;
673
+ ++Iter1;
674
+ Elements.erase(IterTmp);
675
+ } else {
676
+ ++Iter1;
677
+ }
678
+ ++Iter2;
679
+ } else {
680
+ ++Iter1;
681
+ }
682
+ }
683
+ CurrElementIter = Elements.begin();
684
+ return changed;
685
+ }
686
+
687
+ bool intersectWithComplement(const SparseBitVector<ElementSize>* RHS) const {
688
+ return intersectWithComplement(*RHS);
689
+ }
690
+
691
+ // Three argument version of intersectWithComplement.
692
+ // Result of RHS1 & ~RHS2 is stored into this bitmap.
693
+ void intersectWithComplement(
694
+ const SparseBitVector<ElementSize>& RHS1,
695
+ const SparseBitVector<ElementSize>& RHS2) {
696
+ if (this == &RHS1) {
697
+ intersectWithComplement(RHS2);
698
+ return;
699
+ } else if (this == &RHS2) {
700
+ SparseBitVector RHS2Copy(RHS2);
701
+ intersectWithComplement(RHS1, RHS2Copy);
702
+ return;
703
+ }
704
+
705
+ Elements.clear();
706
+ CurrElementIter = Elements.begin();
707
+ ElementListConstIter Iter1 = RHS1.Elements.begin();
708
+ ElementListConstIter Iter2 = RHS2.Elements.begin();
709
+
710
+ // If RHS1 is empty, we are done
711
+ // If RHS2 is empty, we still have to copy RHS1
712
+ if (RHS1.Elements.empty())
713
+ return;
714
+
715
+ // Loop through, intersecting as we go, erasing elements when necessary.
716
+ while (Iter2 != RHS2.Elements.end()) {
717
+ if (Iter1 == RHS1.Elements.end())
718
+ return;
719
+
720
+ if (Iter1->index() > Iter2->index()) {
721
+ ++Iter2;
722
+ } else if (Iter1->index() == Iter2->index()) {
723
+ bool BecameZero = false;
724
+ Elements.emplace_back(Iter1->index());
725
+ Elements.back().intersectWithComplement(*Iter1, *Iter2, BecameZero);
726
+ if (BecameZero)
727
+ Elements.pop_back();
728
+ ++Iter1;
729
+ ++Iter2;
730
+ } else {
731
+ Elements.push_back(*Iter1++);
732
+ }
733
+ }
734
+
735
+ // copy the remaining elements
736
+ std::copy(Iter1, RHS1.Elements.end(), std::back_inserter(Elements));
737
+ }
738
+
739
+ void intersectWithComplement(
740
+ const SparseBitVector<ElementSize>* RHS1,
741
+ const SparseBitVector<ElementSize>* RHS2) {
742
+ intersectWithComplement(*RHS1, *RHS2);
743
+ }
744
+
745
+ bool intersects(const SparseBitVector<ElementSize>* RHS) const {
746
+ return intersects(*RHS);
747
+ }
748
+
749
+ // Return true if we share any bits in common with RHS
750
+ bool intersects(const SparseBitVector<ElementSize>& RHS) const {
751
+ ElementListConstIter Iter1 = Elements.begin();
752
+ ElementListConstIter Iter2 = RHS.Elements.begin();
753
+
754
+ // Check if both bitmaps are empty.
755
+ if (Elements.empty() && RHS.Elements.empty())
756
+ return false;
757
+
758
+ // Loop through, intersecting stopping when we hit bits in common.
759
+ while (Iter2 != RHS.Elements.end()) {
760
+ if (Iter1 == Elements.end())
761
+ return false;
762
+
763
+ if (Iter1->index() > Iter2->index()) {
764
+ ++Iter2;
765
+ } else if (Iter1->index() == Iter2->index()) {
766
+ if (Iter1->intersects(*Iter2))
767
+ return true;
768
+ ++Iter1;
769
+ ++Iter2;
770
+ } else {
771
+ ++Iter1;
772
+ }
773
+ }
774
+ return false;
775
+ }
776
+
777
+ // Return true iff all bits set in this SparseBitVector are
778
+ // also set in RHS.
779
+ bool contains(const SparseBitVector<ElementSize>& RHS) const {
780
+ SparseBitVector<ElementSize> Result(*this);
781
+ Result &= RHS;
782
+ return (Result == RHS);
783
+ }
784
+
785
+ // Return the first set bit in the bitmap. Return -1 if no bits are set.
786
+ int find_first() const {
787
+ if (Elements.empty())
788
+ return -1;
789
+ const SparseBitVectorElement<ElementSize>& First = *(Elements.begin());
790
+ return (First.index() * ElementSize) + First.find_first();
791
+ }
792
+
793
+ // Return the last set bit in the bitmap. Return -1 if no bits are set.
794
+ int find_last() const {
795
+ if (Elements.empty())
796
+ return -1;
797
+ const SparseBitVectorElement<ElementSize>& Last = *(Elements.rbegin());
798
+ return (Last.index() * ElementSize) + Last.find_last();
799
+ }
800
+
801
+ // Return true if the SparseBitVector is empty
802
+ bool empty() const {
803
+ return Elements.empty();
804
+ }
805
+
806
+ unsigned count() const {
807
+ unsigned BitCount = 0;
808
+ for (ElementListConstIter Iter = Elements.begin(); Iter != Elements.end();
809
+ ++Iter)
810
+ BitCount += Iter->count();
811
+
812
+ return BitCount;
813
+ }
814
+
815
+ iterator begin() const {
816
+ return iterator(this);
817
+ }
818
+
819
+ iterator end() const {
820
+ return iterator(this, true);
821
+ }
822
+ };
823
+
824
+ // Convenience functions to allow Or and And without dereferencing in the user
825
+ // code.
826
+
827
+ template <unsigned ElementSize>
828
+ inline bool operator|=(
829
+ SparseBitVector<ElementSize>& LHS,
830
+ const SparseBitVector<ElementSize>* RHS) {
831
+ return LHS |= *RHS;
832
+ }
833
+
834
+ template <unsigned ElementSize>
835
+ inline bool operator|=(
836
+ SparseBitVector<ElementSize>* LHS,
837
+ const SparseBitVector<ElementSize>& RHS) {
838
+ return LHS->operator|=(RHS);
839
+ }
840
+
841
+ template <unsigned ElementSize>
842
+ inline bool operator&=(
843
+ SparseBitVector<ElementSize>* LHS,
844
+ const SparseBitVector<ElementSize>& RHS) {
845
+ return LHS->operator&=(RHS);
846
+ }
847
+
848
+ template <unsigned ElementSize>
849
+ inline bool operator&=(
850
+ SparseBitVector<ElementSize>& LHS,
851
+ const SparseBitVector<ElementSize>* RHS) {
852
+ return LHS &= *RHS;
853
+ }
854
+
855
+ // Convenience functions for infix union, intersection, difference operators.
856
+
857
+ template <unsigned ElementSize>
858
+ inline SparseBitVector<ElementSize> operator|(
859
+ const SparseBitVector<ElementSize>& LHS,
860
+ const SparseBitVector<ElementSize>& RHS) {
861
+ SparseBitVector<ElementSize> Result(LHS);
862
+ Result |= RHS;
863
+ return Result;
864
+ }
865
+
866
+ template <unsigned ElementSize>
867
+ inline SparseBitVector<ElementSize> operator&(
868
+ const SparseBitVector<ElementSize>& LHS,
869
+ const SparseBitVector<ElementSize>& RHS) {
870
+ SparseBitVector<ElementSize> Result(LHS);
871
+ Result &= RHS;
872
+ return Result;
873
+ }
874
+
875
+ template <unsigned ElementSize>
876
+ inline SparseBitVector<ElementSize> operator-(
877
+ const SparseBitVector<ElementSize>& LHS,
878
+ const SparseBitVector<ElementSize>& RHS) {
879
+ SparseBitVector<ElementSize> Result;
880
+ Result.intersectWithComplement(LHS, RHS);
881
+ return Result;
882
+ }
883
+
884
+ template <unsigned ElementSize>
885
+ std::ostream& operator<<(
886
+ std::ostream& stream,
887
+ const SparseBitVector<ElementSize>& vec) {
888
+ bool first = true;
889
+ stream << "{";
890
+ for (auto el : vec) {
891
+ if (first) {
892
+ first = false;
893
+ } else {
894
+ stream << ", ";
895
+ }
896
+ stream << el;
897
+ }
898
+ stream << "}";
899
+ return stream;
900
+ }
901
+
902
+ } // end namespace c10
903
+
904
+ C10_CLANG_DIAGNOSTIC_POP()
videollama2/lib/python3.10/site-packages/torch/include/c10/util/ssize.h ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <c10/util/Exception.h>
4
+ #include <c10/util/TypeSafeSignMath.h>
5
+
6
+ #include <cstddef>
7
+ #include <type_traits>
8
+
9
+ namespace c10 {
10
+
11
+ // Implementations of std::ssize() from C++ 20.
12
+ //
13
+ // This is useful in particular for avoiding -Werror=sign-compare
14
+ // issues.
15
+ //
16
+ // Use this with argument-dependent lookup, e.g.:
17
+ // use c10::ssize;
18
+ // auto size = ssize(container);
19
+ //
20
+ // As with the standard library version, containers are permitted to
21
+ // specialize this with a free function defined in the same namespace.
22
+ //
23
+ // See https://en.cppreference.com/w/cpp/iterator/size for more
24
+ // information as well as the source of our implementations.
25
+ //
26
+ // We augment the implementation by adding an assert() if an overflow
27
+ // would occur.
28
+
29
+ template <typename C>
30
+ constexpr auto ssize(const C& c) -> std::
31
+ common_type_t<std::ptrdiff_t, std::make_signed_t<decltype(c.size())>> {
32
+ using R = std::
33
+ common_type_t<std::ptrdiff_t, std::make_signed_t<decltype(c.size())>>;
34
+ // We expect this to be exceedingly rare to fire and don't wish to
35
+ // pay a performance hit in release mode.
36
+ TORCH_INTERNAL_ASSERT_DEBUG_ONLY(!greater_than_max<R>(c.size()));
37
+ return static_cast<R>(c.size());
38
+ }
39
+
40
+ template <typename T, std::ptrdiff_t N>
41
+ constexpr auto ssize(const T (&array)[N]) noexcept -> std::ptrdiff_t {
42
+ return N;
43
+ }
44
+
45
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/strides.h ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+ #include <c10/util/ArrayRef.h>
3
+ #include <c10/util/DimVector.h>
4
+
5
+ namespace c10 {
6
+
7
+ // Computes the contiguous strides of a tensor, given its sizes.
8
+ static inline DimVector contiguous_strides(const IntArrayRef sizes) {
9
+ using Int = IntArrayRef::value_type;
10
+ const Int dims = static_cast<Int>(sizes.size());
11
+
12
+ // With this initialisation we get the case dim == 0 or 1 right
13
+ DimVector strides(dims, 1);
14
+
15
+ for (auto i = dims - 2; i >= 0; --i) {
16
+ // Strides can't be 0 even if sizes are 0.
17
+ strides[i] = strides[i + 1] * std::max(sizes[i + 1], Int{1});
18
+ }
19
+
20
+ return strides;
21
+ }
22
+
23
+ } // namespace c10
videollama2/lib/python3.10/site-packages/torch/include/c10/util/string_utils.h ADDED
@@ -0,0 +1,142 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #pragma once
2
+
3
+ #include <sstream>
4
+ #include <stdexcept>
5
+ #include <string>
6
+
7
+ namespace c10 {
8
+
9
+ // to_string, stoi and stod implementation for Android related stuff.
10
+ // Note(jiayq): Do not use the CAFFE2_TESTONLY_FORCE_STD_STRING_TEST macro
11
+ // outside testing code that lives under common_test.cc
12
+ #if defined(__ANDROID__) || defined(CAFFE2_TESTONLY_FORCE_STD_STRING_TEST)
13
+ #define CAFFE2_TESTONLY_WE_ARE_USING_CUSTOM_STRING_FUNCTIONS 1
14
+ template <typename T>
15
+ std::string to_string(T value) {
16
+ std::ostringstream os;
17
+ os << value;
18
+ return os.str();
19
+ }
20
+
21
+ inline int stoi(const std::string& str, std::size_t* pos = 0) {
22
+ std::stringstream ss;
23
+ int n = 0;
24
+ ss << str;
25
+ ss >> n;
26
+ if (ss.fail()) {
27
+ // To mimic `std::stoi` and to avoid including `Exception.h`, throw
28
+ // `std::invalid_argument`.
29
+ // We can't easily detect out-of-range, so we don't use `std::out_of_range`.
30
+ throw std::invalid_argument("Not an integer");
31
+ }
32
+ if (pos) {
33
+ if (ss.tellg() == std::streampos(-1)) {
34
+ *pos = str.size();
35
+ } else {
36
+ *pos = ss.tellg();
37
+ }
38
+ }
39
+ return n;
40
+ }
41
+
42
+ inline uint64_t stoull(const std::string& str) {
43
+ std::stringstream ss;
44
+ uint64_t n = 0;
45
+ ss << str;
46
+ ss >> n;
47
+ if (ss.fail()) {
48
+ // To mimic `std::stoull` and to avoid including `Exception.h`, throw
49
+ // `std::invalid_argument`.
50
+ // We can't easily detect out-of-range, so we don't use `std::out_of_range`.
51
+ throw std::invalid_argument("Not an unsigned 64-bit integer");
52
+ }
53
+ return n;
54
+ }
55
+
56
+ inline double stod(const std::string& str, std::size_t* pos = 0) {
57
+ std::stringstream ss;
58
+ ss << str;
59
+ double val = 0;
60
+ ss >> val;
61
+ if (ss.fail()) {
62
+ // To mimic `std::stod` and to avoid including `Exception.h`, throw
63
+ // `std::invalid_argument`.
64
+ // We can't easily detect out-of-range, so we don't use `std::out_of_range`.
65
+ throw std::invalid_argument("Not a double-precision floating point number");
66
+ }
67
+ if (pos) {
68
+ if (ss.tellg() == std::streampos(-1)) {
69
+ *pos = str.size();
70
+ } else {
71
+ *pos = ss.tellg();
72
+ }
73
+ }
74
+ return val;
75
+ }
76
+
77
+ inline long long stoll(const std::string& str, std::size_t* pos = 0) {
78
+ // std::stoll doesn't exist in our Android environment, we need to implement
79
+ // it ourselves.
80
+ std::stringstream ss;
81
+ ss << str;
82
+ long long result = 0;
83
+ ss >> result;
84
+ if (ss.fail()) {
85
+ // To mimic `std::stoll` and to avoid including `Exception.h`, throw
86
+ // `std::invalid_argument`.
87
+ // We can't easily detect out-of-range, so we don't use `std::out_of_range`.
88
+ throw std::invalid_argument("Not a long long integer");
89
+ }
90
+ if (pos) {
91
+ if (ss.tellg() == std::streampos(-1)) {
92
+ *pos = str.size();
93
+ } else {
94
+ *pos = ss.tellg();
95
+ }
96
+ }
97
+ return result;
98
+ }
99
+
100
+ inline long long stoll(const std::string& str, size_t pos, int base) {
101
+ // std::stoll doesn't exist in our Android environment, we need to implement
102
+ // it ourselves.
103
+ std::stringstream ss;
104
+ if (str.size() > 0 && str.at(0) == '0') {
105
+ if (str.size() > 1 && (str.at(1) == 'x' || str.at(1) == 'X')) {
106
+ ss << std::hex << str;
107
+ } else {
108
+ ss << std::oct << str;
109
+ }
110
+ } else {
111
+ ss << str;
112
+ }
113
+ long long result = 0;
114
+ ss >> result;
115
+ if (ss.fail()) {
116
+ // To mimic `std::stoll` and to avoid including `Exception.h`, throw
117
+ // `std::invalid_argument`.
118
+ // We can't easily detect out-of-range, so we don't use `std::out_of_range`.
119
+ throw std::invalid_argument("Not a long long integer");
120
+ }
121
+ return result;
122
+ }
123
+
124
+ #else
125
+ #define CAFFE2_TESTONLY_WE_ARE_USING_CUSTOM_STRING_FUNCTIONS 0
126
+ using std::stod;
127
+ using std::stoi;
128
+ using std::stoll;
129
+ using std::stoull;
130
+ using std::to_string;
131
+ #endif // defined(__ANDROID__) || defined(CAFFE2_FORCE_STD_STRING_FALLBACK_TEST)
132
+
133
+ } // namespace c10
134
+
135
+ #if defined(__ANDROID__) && __ANDROID_API__ < 21 && defined(__GLIBCXX__)
136
+ #include <cstdlib>
137
+ // std::strtoll isn't available on Android NDK platform < 21 when building
138
+ // with libstdc++, so bring the global version into std.
139
+ namespace std {
140
+ using ::strtoll;
141
+ }
142
+ #endif