__init__.py 22.3 KB
Newer Older
1
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
Z
zhangjinchao01 已提交
2 3 4 5 6 7 8 9 10 11 12 13
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
Y
Yancey 已提交
14
try:
15 16
    from paddle.version import full_version as __version__
    from paddle.version import commit as __git_commit__
17
    from paddle.cuda_env import *
Y
Yancey 已提交
18 19
except ImportError:
    import sys
20
    sys.stderr.write('''Warning with import paddle: you should not
Y
Yancey 已提交
21 22
     import paddle from the source directory; please install paddlepaddle*.whl firstly.'''
                     )
23

24
from .batch import batch  # noqa: F401
Z
zhiboniu 已提交
25 26
from .framework import monkey_patch_variable
from .framework import monkey_patch_math_varbase
27 28
monkey_patch_variable()
monkey_patch_math_varbase()
Z
zhiboniu 已提交
29 30 31 32 33 34 35 36 37

from .framework import disable_signal_handler  # noqa: F401
from .framework import get_flags  # noqa: F401
from .framework import set_flags  # noqa: F401

from .framework import disable_static  # noqa: F401
from .framework import enable_static  # noqa: F401
from .framework import in_dynamic_mode  # noqa: F401

38
from .framework.dtype import dtype as dtype  # noqa: F401
Z
zhiboniu 已提交
39 40 41 42 43 44 45 46 47 48 49 50
from .framework.dtype import uint8  # noqa: F401
from .framework.dtype import int8  # noqa: F401
from .framework.dtype import int16  # noqa: F401
from .framework.dtype import int32  # noqa: F401
from .framework.dtype import int64  # noqa: F401
from .framework.dtype import float16  # noqa: F401
from .framework.dtype import float32  # noqa: F401
from .framework.dtype import float64  # noqa: F401
from .framework.dtype import bfloat16  # noqa: F401
from .framework.dtype import bool  # noqa: F401
from .framework.dtype import complex64  # noqa: F401
from .framework.dtype import complex128  # noqa: F401
51 52 53 54
if fluid.framework._in_eager_mode_:
    Tensor = framework.core.eager.Tensor
else:
    from .framework import VarBase as Tensor  # noqa: F401
55 56 57 58 59 60 61 62 63 64 65 66
Tensor.__qualname__ = 'Tensor'  # noqa: F401
import paddle.compat  # noqa: F401
import paddle.distributed  # noqa: F401
import paddle.sysconfig  # noqa: F401
import paddle.distribution  # noqa: F401
import paddle.nn  # noqa: F401
import paddle.distributed.fleet  # noqa: F401
import paddle.optimizer  # noqa: F401
import paddle.metric  # noqa: F401
import paddle.regularizer  # noqa: F401
import paddle.incubate  # noqa: F401
import paddle.autograd  # noqa: F401
67
import paddle.device  # noqa: F401
68

69 70 71 72 73 74 75 76 77
import paddle.jit  # noqa: F401
import paddle.amp  # noqa: F401
import paddle.dataset  # noqa: F401
import paddle.inference  # noqa: F401
import paddle.io  # noqa: F401
import paddle.onnx  # noqa: F401
import paddle.reader  # noqa: F401
import paddle.static  # noqa: F401
import paddle.vision  # noqa: F401
78

79 80
from .tensor.attribute import is_complex  # noqa: F401
from .tensor.attribute import is_integer  # noqa: F401
81 82 83 84
from .tensor.attribute import rank  # noqa: F401
from .tensor.attribute import shape  # noqa: F401
from .tensor.attribute import real  # noqa: F401
from .tensor.attribute import imag  # noqa: F401
W
wuhuanzhou 已提交
85
from .tensor.attribute import is_floating_point  # noqa: F401
86 87
from .tensor.creation import to_tensor  # noqa: F401
from .tensor.creation import diag  # noqa: F401
L
Li Min 已提交
88
from .tensor.creation import diagflat  # noqa: F401
89 90
from .tensor.creation import eye  # noqa: F401
from .tensor.creation import linspace  # noqa: F401
91
from .tensor.creation import logspace  # noqa: F401
92 93 94 95 96 97 98 99 100 101 102 103 104
from .tensor.creation import ones  # noqa: F401
from .tensor.creation import ones_like  # noqa: F401
from .tensor.creation import zeros  # noqa: F401
from .tensor.creation import zeros_like  # noqa: F401
from .tensor.creation import arange  # noqa: F401
from .tensor.creation import full  # noqa: F401
from .tensor.creation import full_like  # noqa: F401
from .tensor.creation import triu  # noqa: F401
from .tensor.creation import tril  # noqa: F401
from .tensor.creation import meshgrid  # noqa: F401
from .tensor.creation import empty  # noqa: F401
from .tensor.creation import empty_like  # noqa: F401
from .tensor.creation import assign  # noqa: F401
F
Feiyu Chan 已提交
105
from .tensor.creation import complex  # noqa: F401
106
from .tensor.creation import clone  # noqa: F401
107
from .tensor.creation import tril_indices  #noqa: F401
108 109 110 111 112 113 114 115 116 117
from .tensor.linalg import matmul  # noqa: F401
from .tensor.linalg import dot  # noqa: F401
from .tensor.linalg import norm  # noqa: F401
from .tensor.linalg import transpose  # noqa: F401
from .tensor.linalg import dist  # noqa: F401
from .tensor.linalg import t  # noqa: F401
from .tensor.linalg import cross  # noqa: F401
from .tensor.linalg import cholesky  # noqa: F401
from .tensor.linalg import bmm  # noqa: F401
from .tensor.linalg import histogram  # noqa: F401
S
smallv0221 已提交
118
from .tensor.linalg import bincount  # noqa: F401
119 120
from .tensor.linalg import mv  # noqa: F401
from .tensor.logic import equal  # noqa: F401
121
from .tensor.linalg import eigvalsh  # noqa: F401
122 123 124 125 126 127 128 129 130
from .tensor.logic import greater_equal  # noqa: F401
from .tensor.logic import greater_than  # noqa: F401
from .tensor.logic import is_empty  # noqa: F401
from .tensor.logic import less_equal  # noqa: F401
from .tensor.logic import less_than  # noqa: F401
from .tensor.logic import logical_and  # noqa: F401
from .tensor.logic import logical_not  # noqa: F401
from .tensor.logic import logical_or  # noqa: F401
from .tensor.logic import logical_xor  # noqa: F401
131 132 133 134
from .tensor.logic import bitwise_and  # noqa: F401
from .tensor.logic import bitwise_not  # noqa: F401
from .tensor.logic import bitwise_or  # noqa: F401
from .tensor.logic import bitwise_xor  # noqa: F401
135 136
from .tensor.logic import not_equal  # noqa: F401
from .tensor.logic import allclose  # noqa: F401
A
andyjpaddle 已提交
137
from .tensor.logic import isclose  # noqa: F401
138 139 140 141
from .tensor.logic import equal_all  # noqa: F401
from .tensor.logic import is_tensor  # noqa: F401
from .tensor.manipulation import cast  # noqa: F401
from .tensor.manipulation import concat  # noqa: F401
142
from .tensor.manipulation import broadcast_tensors  # noqa: F401
143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158
from .tensor.manipulation import expand  # noqa: F401
from .tensor.manipulation import broadcast_to  # noqa: F401
from .tensor.manipulation import expand_as  # noqa: F401
from .tensor.manipulation import tile  # noqa: F401
from .tensor.manipulation import flatten  # noqa: F401
from .tensor.manipulation import gather  # noqa: F401
from .tensor.manipulation import gather_nd  # noqa: F401
from .tensor.manipulation import reshape  # noqa: F401
from .tensor.manipulation import reshape_  # noqa: F401
from .tensor.manipulation import flip as reverse  # noqa: F401
from .tensor.manipulation import scatter  # noqa: F401
from .tensor.manipulation import scatter_  # noqa: F401
from .tensor.manipulation import scatter_nd_add  # noqa: F401
from .tensor.manipulation import scatter_nd  # noqa: F401
from .tensor.manipulation import shard_index  # noqa: F401
from .tensor.manipulation import slice  # noqa: F401
Z
zhiboniu 已提交
159
from .tensor.manipulation import crop  # noqa: F401
160 161 162 163 164 165
from .tensor.manipulation import split  # noqa: F401
from .tensor.manipulation import squeeze  # noqa: F401
from .tensor.manipulation import squeeze_  # noqa: F401
from .tensor.manipulation import stack  # noqa: F401
from .tensor.manipulation import strided_slice  # noqa: F401
from .tensor.manipulation import unique  # noqa: F401
D
duanboqiang 已提交
166
from .tensor.manipulation import unique_consecutive  # noqa: F401
167 168 169 170
from .tensor.manipulation import unsqueeze  # noqa: F401
from .tensor.manipulation import unsqueeze_  # noqa: F401
from .tensor.manipulation import unstack  # noqa: F401
from .tensor.manipulation import flip  # noqa: F401
Z
zmxdream 已提交
171
from .tensor.manipulation import rot90  # noqa: F401
172 173 174 175
from .tensor.manipulation import unbind  # noqa: F401
from .tensor.manipulation import roll  # noqa: F401
from .tensor.manipulation import chunk  # noqa: F401
from .tensor.manipulation import tolist  # noqa: F401
176
from .tensor.manipulation import take_along_axis  # noqa: F401
177
from .tensor.manipulation import put_along_axis  # noqa: F401
F
From00 已提交
178
from .tensor.manipulation import tensordot  # noqa: F401
179 180
from .tensor.manipulation import as_complex  # noqa: F401
from .tensor.manipulation import as_real  # noqa: F401
181
from .tensor.manipulation import moveaxis  # noqa: F401
K
kuizhiqing 已提交
182
from .tensor.manipulation import repeat_interleave  # noqa: F401
183 184 185 186
from .tensor.math import abs  # noqa: F401
from .tensor.math import acos  # noqa: F401
from .tensor.math import asin  # noqa: F401
from .tensor.math import atan  # noqa: F401
R
ronnywang 已提交
187
from .tensor.math import atan2  # noqa: F401
188 189 190 191 192
from .tensor.math import ceil  # noqa: F401
from .tensor.math import cos  # noqa: F401
from .tensor.math import tan  # noqa: F401
from .tensor.math import cosh  # noqa: F401
from .tensor.math import cumsum  # noqa: F401
H
hlygit66666 已提交
193
from .tensor.math import cumprod  # noqa: F401
W
wangzhen38 已提交
194
from .tensor.math import logit  # noqa: F401
195
from .tensor.math import exp  # noqa: F401
R
ronnywang 已提交
196
from .tensor.math import expm1  # noqa: F401
197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
from .tensor.math import floor  # noqa: F401
from .tensor.math import increment  # noqa: F401
from .tensor.math import log  # noqa: F401
from .tensor.math import log2  # noqa: F401
from .tensor.math import log10  # noqa: F401
from .tensor.math import multiplex  # noqa: F401
from .tensor.math import pow  # noqa: F401
from .tensor.math import reciprocal  # noqa: F401
from .tensor.math import all  # noqa: F401
from .tensor.math import any  # noqa: F401
from .tensor.math import round  # noqa: F401
from .tensor.math import rsqrt  # noqa: F401
from .tensor.math import scale  # noqa: F401
from .tensor.math import sign  # noqa: F401
from .tensor.math import sin  # noqa: F401
from .tensor.math import sinh  # noqa: F401
from .tensor.math import sqrt  # noqa: F401
from .tensor.math import square  # noqa: F401
from .tensor.math import stanh  # noqa: F401
from .tensor.math import sum  # noqa: F401
W
wangguanqun 已提交
217
from .tensor.math import nansum  # noqa: F401
218
from .tensor.math import nanmean  # noqa: F401
219 220 221 222 223
from .tensor.math import tanh  # noqa: F401
from .tensor.math import tanh_  # noqa: F401
from .tensor.math import add_n  # noqa: F401
from .tensor.math import max  # noqa: F401
from .tensor.math import maximum  # noqa: F401
T
Tao Luo 已提交
224
from .tensor.math import amax  # noqa: F401
225 226
from .tensor.math import min  # noqa: F401
from .tensor.math import minimum  # noqa: F401
T
Tao Luo 已提交
227
from .tensor.math import amin  # noqa: F401
228 229 230 231 232 233 234
from .tensor.math import mm  # noqa: F401
from .tensor.math import divide  # noqa: F401
from .tensor.math import floor_divide  # noqa: F401
from .tensor.math import remainder  # noqa: F401
from .tensor.math import mod  # noqa: F401
from .tensor.math import floor_mod  # noqa: F401
from .tensor.math import multiply  # noqa: F401
S
seemingwang 已提交
235
from .tensor.math import renorm  # noqa: F401
236 237 238 239 240 241 242 243 244
from .tensor.math import add  # noqa: F401
from .tensor.math import subtract  # noqa: F401
from .tensor.math import logsumexp  # noqa: F401
from .tensor.math import inverse  # noqa: F401
from .tensor.math import log1p  # noqa: F401
from .tensor.math import erf  # noqa: F401
from .tensor.math import addmm  # noqa: F401
from .tensor.math import clip  # noqa: F401
from .tensor.math import trace  # noqa: F401
245
from .tensor.math import diagonal  # noqa: F401
246 247 248 249 250 251 252
from .tensor.math import kron  # noqa: F401
from .tensor.math import isfinite  # noqa: F401
from .tensor.math import isinf  # noqa: F401
from .tensor.math import isnan  # noqa: F401
from .tensor.math import prod  # noqa: F401
from .tensor.math import broadcast_shape  # noqa: F401
from .tensor.math import conj  # noqa: F401
253
from .tensor.math import trunc  # noqa: F401
Z
zyfncg 已提交
254
from .tensor.math import digamma  # noqa: F401
255 256
from .tensor.math import neg  # noqa: F401
from .tensor.math import lgamma  # noqa: F401
X
xiaoting 已提交
257 258 259
from .tensor.math import acosh  # noqa: F401
from .tensor.math import asinh  # noqa: F401
from .tensor.math import atanh  # noqa: F401
260
from .tensor.math import lerp  # noqa: F401
W
wuhuanzhou 已提交
261
from .tensor.math import erfinv  # noqa: F401
262 263
from .tensor.math import rad2deg  # noqa: F401
from .tensor.math import deg2rad  # noqa: F401
T
Tao Luo 已提交
264 265
from .tensor.math import gcd  # noqa: F401
from .tensor.math import lcm  # noqa: F401
A
andyjpaddle 已提交
266
from .tensor.math import diff  # noqa: F401
F
Feiyu Chan 已提交
267
from .tensor.math import angle  # noqa: F401
L
LJQ❤️ 已提交
268 269
from .tensor.math import fmax  # noqa: F401
from .tensor.math import fmin  # noqa: F401
Z
zhiboniu 已提交
270 271
from .tensor.math import inner  # noqa: F401
from .tensor.math import outer  # noqa: F401
272
from .tensor.math import heaviside  # noqa: F401
273
from .tensor.math import frac  # noqa: F401
L
Leo Chen 已提交
274

275 276
from .tensor.random import bernoulli  # noqa: F401
from .tensor.random import poisson  # noqa: F401
277 278 279 280 281 282 283
from .tensor.random import multinomial  # noqa: F401
from .tensor.random import standard_normal  # noqa: F401
from .tensor.random import normal  # noqa: F401
from .tensor.random import uniform  # noqa: F401
from .tensor.random import randn  # noqa: F401
from .tensor.random import rand  # noqa: F401
from .tensor.random import randint  # noqa: F401
284
from .tensor.random import randint_like  # noqa: F401
285 286 287 288
from .tensor.random import randperm  # noqa: F401
from .tensor.search import argmax  # noqa: F401
from .tensor.search import argmin  # noqa: F401
from .tensor.search import argsort  # noqa: F401
Y
Yanxing Shi 已提交
289
from .tensor.search import searchsorted  # noqa: F401
290 291 292 293 294 295
from .tensor.search import masked_select  # noqa: F401
from .tensor.search import topk  # noqa: F401
from .tensor.search import where  # noqa: F401
from .tensor.search import index_select  # noqa: F401
from .tensor.search import nonzero  # noqa: F401
from .tensor.search import sort  # noqa: F401
296
from .tensor.search import kthvalue  # noqa: F401
297
from .tensor.search import mode  # noqa: F401
298

299
from .tensor.to_string import set_printoptions  # noqa: F401
300

T
Tongxin Bai 已提交
301 302
from .tensor.einsum import einsum  # noqa: F401

303 304 305 306 307 308
from .framework.random import seed  # noqa: F401
from .framework.random import get_cuda_rng_state  # noqa: F401
from .framework.random import set_cuda_rng_state  # noqa: F401
from .framework import ParamAttr  # noqa: F401
from .framework import create_parameter  # noqa: F401
from .framework import CPUPlace  # noqa: F401
J
jianghaicheng 已提交
309
from .framework import IPUPlace  # noqa: F401
310 311 312
from .framework import CUDAPlace  # noqa: F401
from .framework import NPUPlace  # noqa: F401
from .framework import CUDAPinnedPlace  # noqa: F401
313
from .framework import MLUPlace  # noqa: F401
314
from .framework import CustomPlace  # noqa: F401
315

C
chentianyu03 已提交
316 317 318
from .autograd import grad  # noqa: F401
from .autograd import no_grad  # noqa: F401
from .autograd import set_grad_enabled  # noqa: F401
W
wuhuanzhou 已提交
319
from .autograd import is_grad_enabled  # noqa: F401
320 321 322
from .framework import save  # noqa: F401
from .framework import load  # noqa: F401
from .framework import DataParallel  # noqa: F401
323

324 325
from .framework import set_default_dtype  # noqa: F401
from .framework import get_default_dtype  # noqa: F401
326

327 328 329 330 331 332
from .tensor.search import index_sample  # noqa: F401
from .tensor.stat import mean  # noqa: F401
from .tensor.stat import std  # noqa: F401
from .tensor.stat import var  # noqa: F401
from .tensor.stat import numel  # noqa: F401
from .tensor.stat import median  # noqa: F401
333
from .tensor.stat import nanmedian  # noqa: F401
334
from .tensor.stat import quantile  # noqa: F401
335
from .tensor.stat import nanquantile  # noqa: F401
336 337 338 339 340
from .device import get_cudnn_version  # noqa: F401
from .device import set_device  # noqa: F401
from .device import get_device  # noqa: F401
from .device import is_compiled_with_xpu  # noqa: F401
from .device import is_compiled_with_npu  # noqa: F401
J
jianghaicheng 已提交
341
from .device import is_compiled_with_ipu  # noqa: F401
342
from .device import is_compiled_with_mlu  # noqa: F401
Z
zhiboniu 已提交
343 344 345
from .device import is_compiled_with_cinn  # noqa: F401
from .device import is_compiled_with_cuda  # noqa: F401
from .device import is_compiled_with_rocm  # noqa: F401
346
from .device import XPUPlace  # noqa: F401
347

348
# high-level api
349
from .hapi import Model  # noqa: F401
Z
zhiboniu 已提交
350
from . import callbacks  # noqa: F401
351 352
from .hapi import summary  # noqa: F401
from .hapi import flops  # noqa: F401
Z
zhiboniu 已提交
353
from . import hub  # noqa: F401
354
from . import linalg  # noqa: F401
Z
zhiboniu 已提交
355
from . import fft  # noqa: F401
356
from . import signal  # noqa: F401
357

358 359
import paddle.text  # noqa: F401
import paddle.vision  # noqa: F401
P
pangyoki 已提交
360

361
from .tensor.random import check_shape  # noqa: F401
362 363 364 365 366 367 368 369 370 371

# CINN has to set a flag to include a lib
if is_compiled_with_cinn():
    import os
    package_dir = os.path.dirname(os.path.abspath(__file__))
    runtime_include_dir = os.path.join(package_dir, "libs")
    cuh_file = os.path.join(runtime_include_dir, "cinn_cuda_runtime_source.cuh")
    if os.path.exists(cuh_file):
        os.environ['runtime_include_dir'] = runtime_include_dir

P
pangyoki 已提交
372
disable_static()
373

374
__all__ = [  # noqa
375 376 377 378 379 380 381 382 383 384 385 386 387 388 389
           'dtype',
           'uint8',
           'int8',
           'int16',
           'int32',
           'int64',
           'float16',
           'float32',
           'float64',
           'bfloat16',
           'bool',
           'complex64',
           'complex128',
           'addmm',
           'allclose',
A
andyjpaddle 已提交
390
           'isclose',
391 392 393 394
           't',
           'add',
           'subtract',
           'diag',
L
Li Min 已提交
395
           'diagflat',
396 397 398 399 400 401 402 403 404 405 406
           'isnan',
           'scatter_nd_add',
           'unstack',
           'get_default_dtype',
           'save',
           'multinomial',
           'get_cuda_rng_state',
           'rank',
           'empty_like',
           'eye',
           'cumsum',
H
hlygit66666 已提交
407
           'cumprod',
W
wangzhen38 已提交
408
           'logit',
409 410 411 412 413
           'sign',
           'is_empty',
           'equal',
           'equal_all',
           'is_tensor',
414 415
           'is_complex',
           'is_integer',
416 417 418 419 420 421
           'cross',
           'where',
           'log1p',
           'cos',
           'tan',
           'mean',
422
           'mode',
423 424 425
           'mv',
           'in_dynamic_mode',
           'min',
T
Tao Luo 已提交
426
           'amin',
427 428 429 430 431 432 433 434 435 436 437 438
           'any',
           'slice',
           'normal',
           'logsumexp',
           'full',
           'unsqueeze',
           'unsqueeze_',
           'argmax',
           'Model',
           'summary',
           'flops',
           'sort',
Y
Yanxing Shi 已提交
439
           'searchsorted',
440 441 442 443 444 445 446 447 448 449 450
           'split',
           'logical_and',
           'full_like',
           'less_than',
           'kron',
           'clip',
           'Tensor',
           'crop',
           'ParamAttr',
           'stanh',
           'randint',
451
           'randint_like',
452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468
           'assign',
           'gather',
           'scale',
           'zeros',
           'rsqrt',
           'squeeze',
           'squeeze_',
           'to_tensor',
           'gather_nd',
           'isinf',
           'uniform',
           'floor_divide',
           'remainder',
           'floor_mod',
           'roll',
           'batch',
           'max',
T
Tao Luo 已提交
469
           'amax',
470
           'logical_or',
471 472 473 474
           'bitwise_and',
           'bitwise_or',
           'bitwise_xor',
           'bitwise_not',
475 476
           'mm',
           'flip',
Z
zmxdream 已提交
477
           'rot90',
S
smallv0221 已提交
478
           'bincount',
479 480 481 482 483 484 485 486
           'histogram',
           'multiplex',
           'CUDAPlace',
           'NPUPlace',
           'empty',
           'shape',
           'real',
           'imag',
W
wuhuanzhou 已提交
487
           'is_floating_point',
F
Feiyu Chan 已提交
488
           'complex',
489 490 491 492 493 494 495 496 497 498 499 500
           'reciprocal',
           'rand',
           'less_equal',
           'triu',
           'sin',
           'dist',
           'unbind',
           'meshgrid',
           'arange',
           'load',
           'numel',
           'median',
501
           'nanmedian',
502
           'quantile',
503
           'nanquantile',
504 505
           'no_grad',
           'set_grad_enabled',
W
wuhuanzhou 已提交
506
           'is_grad_enabled',
507 508 509 510 511 512 513 514 515 516 517 518 519 520
           'mod',
           'abs',
           'tril',
           'pow',
           'zeros_like',
           'maximum',
           'topk',
           'index_select',
           'CPUPlace',
           'matmul',
           'seed',
           'acos',
           'logical_xor',
           'exp',
R
ronnywang 已提交
521
           'expm1',
522
           'bernoulli',
523
           'poisson',
524 525 526 527 528 529 530
           'sinh',
           'round',
           'DataParallel',
           'argmin',
           'prod',
           'broadcast_shape',
           'conj',
531 532
           'neg',
           'lgamma',
533
           'lerp',
W
wuhuanzhou 已提交
534
           'erfinv',
Z
zhiboniu 已提交
535 536
           'inner',
           'outer',
537 538 539 540
           'square',
           'divide',
           'ceil',
           'atan',
R
ronnywang 已提交
541
           'atan2',
542 543
           'rad2deg',
           'deg2rad',
T
Tao Luo 已提交
544 545
           'gcd',
           'lcm',
546 547 548 549 550 551 552 553 554 555
           'expand',
           'broadcast_to',
           'ones_like',
           'index_sample',
           'cast',
           'grad',
           'all',
           'ones',
           'not_equal',
           'sum',
W
wangguanqun 已提交
556
           'nansum',
557
           'nanmean',
558 559 560 561 562 563 564 565 566 567
           'tile',
           'greater_equal',
           'isfinite',
           'create_parameter',
           'dot',
           'increment',
           'erf',
           'bmm',
           'chunk',
           'tolist',
F
From00 已提交
568
           'tensordot',
569 570 571 572 573 574 575 576 577
           'greater_than',
           'shard_index',
           'argsort',
           'tanh',
           'tanh_',
           'transpose',
           'randn',
           'strided_slice',
           'unique',
D
duanboqiang 已提交
578
           'unique_consecutive',
579 580 581 582 583 584 585 586 587 588 589 590 591
           'set_cuda_rng_state',
           'set_printoptions',
           'std',
           'flatten',
           'asin',
           'multiply',
           'disable_static',
           'masked_select',
           'var',
           'trace',
           'enable_static',
           'scatter_nd',
           'set_default_dtype',
592
           'disable_signal_handler',
593 594 595 596 597
           'expand_as',
           'stack',
           'sqrt',
           'randperm',
           'linspace',
598
           'logspace',
599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614
           'reshape',
           'reshape_',
           'reverse',
           'nonzero',
           'CUDAPinnedPlace',
           'logical_not',
           'add_n',
           'minimum',
           'scatter',
           'scatter_',
           'floor',
           'cosh',
           'log',
           'log2',
           'log10',
           'concat',
615
           'check_shape',
Z
zhiboniu 已提交
616
           'trunc',
617
           'frac',
Z
zyfncg 已提交
618
           'digamma',
619
           'standard_normal',
620 621
           'diagonal',
           'broadcast_tensors',
622 623
           'einsum',
           'set_flags',
A
andyjpaddle 已提交
624
           'get_flags',
X
xiaoting 已提交
625 626 627
           'asinh',
           'acosh',
           'atanh',
628 629
           'as_complex',
           'as_real',
F
Feiyu Chan 已提交
630 631
           'diff',
           'angle',
L
LJQ❤️ 已提交
632 633
           'fmax',
           'fmin',
634
           'moveaxis',
K
kuizhiqing 已提交
635
           'repeat_interleave',
636
           'clone',
637
           'kthvalue',
S
seemingwang 已提交
638
           'renorm',
639 640
           'take_along_axis',
           'put_along_axis',
641
           'heaviside',
642
           'tril_indices',
643
]