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paddlepaddle--paddle/python/paddle/incubate/autograd/primitives.py
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2026-07-13 12:40:42 +08:00

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Python

# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
from paddle.tensor import ( # noqa: F401
abs,
acos,
acosh,
add,
asin,
asinh,
atan,
atanh,
broadcast_shape,
broadcast_to,
concat,
cos,
cosh,
cumprod,
cumsum,
digamma,
divide,
erf,
erfinv,
exp,
expm1,
fill_constant,
full,
gather,
greater_equal,
lgamma,
log,
log1p,
logcumsumexp,
logit,
logsumexp,
max,
mean,
min,
multiply,
ones,
pow,
prod,
reshape,
rsqrt,
sign,
sin,
sinh,
sqrt,
subtract,
sum,
tan,
tanh,
tile,
uniform,
zeros,
)
from paddle.tensor.creation import assign, zeros_like # noqa: F401
from paddle.tensor.manipulation import cast # noqa: F401
from paddle.tensor.math import maximum, minimum # noqa: F401
"""
math_op = [
'add',
'subtract',
'multiply',
'divide',
'abs',
'pow',
'sign',
'sum',
'prod',
'cumsum',
'cumprod',
'digamma',
'lgamma',
'erf',
'erfinv',
'exp',
'expm1',
'log',
'log1p',
'logsumexp',
'logcumsumexp',
'logit',
'max',
'maximum',
'min',
'minimum',
]
trigonometric_op = [
'sin',
'cos',
'tan',
'sinh',
'cosh',
'tanh',
'asin',
'acos',
'atan',
'asinh',
'acosh',
'atanh',
]
sub_prim = [
'mean',
'ones',
'zeros',
'sqrt',
'rsqrt',
]
others = [
'assign',
'broadcast_to',
'cast',
'fill_constant',
'reshape',
'gather'
'full',
'tile',
'concat',
'uniform',
'greater_equal',
'zeros_like',
'transpose',
]
"""