__init__.py 18.5 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
25 26 27 28
from .fluid import monkey_patch_variable
from .fluid.dygraph import monkey_patch_math_varbase
monkey_patch_variable()
monkey_patch_math_varbase()
29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
from .framework.dtype import dtype as dtype  # noqa: F401
from paddle.framework.dtype import uint8  # noqa: F401
from paddle.framework.dtype import int8  # noqa: F401
from paddle.framework.dtype import int16  # noqa: F401
from paddle.framework.dtype import int32  # noqa: F401
from paddle.framework.dtype import int64  # noqa: F401
from paddle.framework.dtype import float16  # noqa: F401
from paddle.framework.dtype import float32  # noqa: F401
from paddle.framework.dtype import float64  # noqa: F401
from paddle.framework.dtype import bfloat16  # noqa: F401
from paddle.framework.dtype import bool  # noqa: F401
from paddle.framework.dtype import complex64  # noqa: F401
from paddle.framework.dtype import complex128  # noqa: F401
from .framework import VarBase as Tensor  # noqa: F401
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
55
import paddle.device  # noqa: F401
56

57 58 59 60 61 62 63 64 65
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
66

67
from .tensor.random import bernoulli  # noqa: F401
68

69 70 71 72 73 74
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
from .tensor.creation import to_tensor  # noqa: F401
from .tensor.creation import diag  # noqa: F401
L
Li Min 已提交
75
from .tensor.creation import diagflat  # noqa: F401
76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
from .tensor.creation import eye  # noqa: F401
from .tensor.creation import linspace  # noqa: F401
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
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
101
from .tensor.linalg import bincount  # noqa: F401
102 103 104 105 106 107 108 109 110 111 112
from .tensor.linalg import mv  # noqa: F401
from .tensor.logic import equal  # noqa: F401
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
113 114 115 116
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
117 118 119 120 121 122
from .tensor.logic import not_equal  # noqa: F401
from .tensor.logic import allclose  # noqa: F401
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
123
from .tensor.manipulation import broadcast_tensors  # noqa: F401
124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145
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
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
146
from .tensor.manipulation import unique_consecutive  # noqa: F401
147 148 149 150 151 152 153 154
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
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
F
From00 已提交
155
from .tensor.manipulation import tensordot  # noqa: F401
156 157 158 159
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
160
from .tensor.math import atan2  # noqa: F401
161 162 163 164 165
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
166
from .tensor.math import cumprod  # noqa: F401
167
from .tensor.math import exp  # noqa: F401
R
ronnywang 已提交
168
from .tensor.math import expm1  # noqa: F401
169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211
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
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
from .tensor.math import min  # noqa: F401
from .tensor.math import minimum  # noqa: F401
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
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
212
from .tensor.math import diagonal  # noqa: F401
213 214 215 216 217 218 219
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
220
from .tensor.math import trunc  # noqa: F401
Z
zyfncg 已提交
221
from .tensor.math import digamma  # noqa: F401
222 223
from .tensor.math import neg  # noqa: F401
from .tensor.math import lgamma  # noqa: F401
L
Leo Chen 已提交
224

225 226 227 228 229 230 231 232 233 234 235
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
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
236
from .tensor.search import searchsorted  # noqa: F401
237 238 239 240 241 242
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
243

244
from .tensor.to_string import set_printoptions  # noqa: F401
245

T
Tongxin Bai 已提交
246 247
from .tensor.einsum import einsum  # noqa: F401

248 249 250 251 252 253 254 255 256
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
from .framework import CUDAPlace  # noqa: F401
from .framework import NPUPlace  # noqa: F401
from .framework import CUDAPinnedPlace  # noqa: F401
257

C
chentianyu03 已提交
258 259 260
from .autograd import grad  # noqa: F401
from .autograd import no_grad  # noqa: F401
from .autograd import set_grad_enabled  # noqa: F401
261 262 263
from .framework import save  # noqa: F401
from .framework import load  # noqa: F401
from .framework import DataParallel  # noqa: F401
264

265 266
from .framework import set_default_dtype  # noqa: F401
from .framework import get_default_dtype  # noqa: F401
267

268 269 270 271 272 273 274 275 276 277
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
from .device import get_cudnn_version  # noqa: F401
from .device import set_device  # noqa: F401
from .device import get_device  # noqa: F401
from .fluid.framework import is_compiled_with_cuda  # noqa: F401
278
from .fluid.framework import is_compiled_with_rocm  # noqa: F401
279
from .fluid.framework import disable_signal_handler  # noqa: F401
280 281
from .fluid.framework import get_flags  # noqa: F401
from .fluid.framework import set_flags  # noqa: F401
282 283 284
from .device import is_compiled_with_xpu  # noqa: F401
from .device import is_compiled_with_npu  # noqa: F401
from .device import XPUPlace  # noqa: F401
285

286 287 288 289
from .fluid.dygraph.base import enable_dygraph as disable_static  # noqa: F401
from .fluid.dygraph.base import disable_dygraph as enable_static  # noqa: F401
from .fluid.framework import in_dygraph_mode as in_dynamic_mode  # noqa: F401
from .fluid.layers import crop_tensor as crop  # noqa: F401
290 291

# high-level api
292
from .hapi import Model  # noqa: F401
Z
zhiboniu 已提交
293
from . import callbacks  # noqa: F401
294 295
from .hapi import summary  # noqa: F401
from .hapi import flops  # noqa: F401
Z
zhiboniu 已提交
296
from . import hub  # noqa: F401
297
from . import linalg  # noqa: F401
Z
zhiboniu 已提交
298
from . import fft  # noqa: F401
299
from . import signal  # noqa: F401
300

301 302
import paddle.text  # noqa: F401
import paddle.vision  # noqa: F401
P
pangyoki 已提交
303

304
from .tensor.random import check_shape  # noqa: F401
P
pangyoki 已提交
305
disable_static()
306

307
__all__ = [  # noqa
308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326
           'dtype',
           'uint8',
           'int8',
           'int16',
           'int32',
           'int64',
           'float16',
           'float32',
           'float64',
           'bfloat16',
           'bool',
           'complex64',
           'complex128',
           'addmm',
           'allclose',
           't',
           'add',
           'subtract',
           'diag',
L
Li Min 已提交
327
           'diagflat',
328 329 330 331 332 333 334 335 336 337 338
           'isnan',
           'scatter_nd_add',
           'unstack',
           'get_default_dtype',
           'save',
           'multinomial',
           'get_cuda_rng_state',
           'rank',
           'empty_like',
           'eye',
           'cumsum',
H
hlygit66666 已提交
339
           'cumprod',
340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365
           'sign',
           'is_empty',
           'equal',
           'equal_all',
           'is_tensor',
           'cross',
           'where',
           'log1p',
           'cos',
           'tan',
           'mean',
           'mv',
           'in_dynamic_mode',
           'min',
           'any',
           'slice',
           'normal',
           'logsumexp',
           'full',
           'unsqueeze',
           'unsqueeze_',
           'argmax',
           'Model',
           'summary',
           'flops',
           'sort',
Y
Yanxing Shi 已提交
366
           'searchsorted',
367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
           'split',
           'logical_and',
           'full_like',
           'less_than',
           'kron',
           'clip',
           'Tensor',
           'crop',
           'ParamAttr',
           'stanh',
           'randint',
           'assign',
           'gather',
           'scale',
           'zeros',
           'rsqrt',
           'squeeze',
           'squeeze_',
           'to_tensor',
           'gather_nd',
           'isinf',
           'uniform',
           'floor_divide',
           'remainder',
           'floor_mod',
           'roll',
           'batch',
           'max',
           'norm',
           'logical_or',
397 398 399 400
           'bitwise_and',
           'bitwise_or',
           'bitwise_xor',
           'bitwise_not',
401 402
           'mm',
           'flip',
S
smallv0221 已提交
403
           'bincount',
404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440
           'histogram',
           'multiplex',
           'CUDAPlace',
           'NPUPlace',
           'empty',
           'shape',
           'real',
           'imag',
           'reciprocal',
           'rand',
           'less_equal',
           'triu',
           'sin',
           'dist',
           'unbind',
           'meshgrid',
           'arange',
           'load',
           'numel',
           'median',
           'inverse',
           'no_grad',
           'set_grad_enabled',
           'mod',
           'abs',
           'tril',
           'pow',
           'zeros_like',
           'maximum',
           'topk',
           'index_select',
           'CPUPlace',
           'matmul',
           'seed',
           'acos',
           'logical_xor',
           'exp',
R
ronnywang 已提交
441
           'expm1',
442 443 444 445 446 447 448 449
           'bernoulli',
           'sinh',
           'round',
           'DataParallel',
           'argmin',
           'prod',
           'broadcast_shape',
           'conj',
450 451
           'neg',
           'lgamma',
452 453 454 455
           'square',
           'divide',
           'ceil',
           'atan',
R
ronnywang 已提交
456
           'atan2',
457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476
           'expand',
           'broadcast_to',
           'ones_like',
           'index_sample',
           'cast',
           'grad',
           'all',
           'ones',
           'not_equal',
           'sum',
           'tile',
           'greater_equal',
           'isfinite',
           'create_parameter',
           'dot',
           'increment',
           'erf',
           'bmm',
           'chunk',
           'tolist',
F
From00 已提交
477
           'tensordot',
478 479 480 481 482 483 484 485 486
           'greater_than',
           'shard_index',
           'argsort',
           'tanh',
           'tanh_',
           'transpose',
           'randn',
           'strided_slice',
           'unique',
D
duanboqiang 已提交
487
           'unique_consecutive',
488 489 490 491 492 493 494 495 496 497 498 499 500
           'set_cuda_rng_state',
           'set_printoptions',
           'std',
           'flatten',
           'asin',
           'multiply',
           'disable_static',
           'masked_select',
           'var',
           'trace',
           'enable_static',
           'scatter_nd',
           'set_default_dtype',
501
           'disable_signal_handler',
502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523
           'expand_as',
           'stack',
           'sqrt',
           'cholesky',
           'randperm',
           'linspace',
           'reshape',
           'reshape_',
           'reverse',
           'nonzero',
           'CUDAPinnedPlace',
           'logical_not',
           'add_n',
           'minimum',
           'scatter',
           'scatter_',
           'floor',
           'cosh',
           'log',
           'log2',
           'log10',
           'concat',
524
           'check_shape',
Z
zhiboniu 已提交
525
           'trunc',
Z
zyfncg 已提交
526
           'digamma',
527
           'standard_normal',
528 529
           'diagonal',
           'broadcast_tensors',
530 531 532
           'einsum',
           'set_flags',
           'get_flags'
533
]