From 32203c38a63a420401151071fe72110e6f56caeb Mon Sep 17 00:00:00 2001 From: zhiboniu <31800336+zhiboniu@users.noreply.github.com> Date: Wed, 28 Apr 2021 13:40:02 +0800 Subject: [PATCH] update 2.0 public api in paddle.init (#32034) (#32620) Co-authored-by: XiaoguangHu <46782768+XiaoguangHu01@users.noreply.github.com> Co-authored-by: XiaoguangHu <46782768+XiaoguangHu01@users.noreply.github.com> --- python/paddle/__init__.py | 712 ++++++++++++++++++++++++-------------- 1 file changed, 450 insertions(+), 262 deletions(-) diff --git a/python/paddle/__init__.py b/python/paddle/__init__.py index 4b9f310e73b..054fcdfcbe6 100755 --- a/python/paddle/__init__.py +++ b/python/paddle/__init__.py @@ -11,9 +11,6 @@ # 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. - -import os - try: from paddle.version import full_version as __version__ from paddle.version import commit as __git_commit__ @@ -30,280 +27,471 @@ from .fluid import monkey_patch_variable from .fluid.dygraph import monkey_patch_math_varbase monkey_patch_variable() monkey_patch_math_varbase() -import paddle.framework -from .framework.dtype import dtype as dtype -from paddle.framework.dtype import uint8 -from paddle.framework.dtype import int8 -from paddle.framework.dtype import int16 -from paddle.framework.dtype import int32 -from paddle.framework.dtype import int64 -from paddle.framework.dtype import float16 -from paddle.framework.dtype import float32 -from paddle.framework.dtype import float64 -from paddle.framework.dtype import bfloat16 -from paddle.framework.dtype import bool -from paddle.framework.dtype import complex64 -from paddle.framework.dtype import complex128 -from .framework import VarBase as Tensor -Tensor.__qualname__ = 'Tensor' -import paddle.compat -import paddle.distributed -import paddle.sysconfig -import paddle.tensor -import paddle.distribution -import paddle.nn -import paddle.distributed.fleet -import paddle.optimizer -import paddle.metric -import paddle.device -import paddle.regularizer -import paddle.incubate -import paddle.autograd +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 -# TODO: define alias in tensor and framework directory +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 -from .tensor.random import randperm -from .tensor.random import bernoulli +from .tensor.random import bernoulli # noqa: F401 -from .tensor.attribute import rank #DEFINE_ALIAS -from .tensor.attribute import shape #DEFINE_ALIAS -from .tensor.attribute import real #DEFINE_ALIAS -from .tensor.attribute import imag #DEFINE_ALIAS -from .tensor.creation import to_tensor #DEFINE_ALIAS -from .tensor.creation import diag #DEFINE_ALIAS -from .tensor.creation import eye #DEFINE_ALIAS -# from .tensor.creation import fill_constant #DEFINE_ALIAS -# from .tensor.creation import get_tensor_from_selected_rows #DEFINE_ALIAS -from .tensor.creation import linspace #DEFINE_ALIAS -from .tensor.creation import ones #DEFINE_ALIAS -from .tensor.creation import ones_like #DEFINE_ALIAS -from .tensor.creation import zeros #DEFINE_ALIAS -from .tensor.creation import zeros_like #DEFINE_ALIAS -from .tensor.creation import arange #DEFINE_ALIAS -from .tensor.creation import eye #DEFINE_ALIAS -from .tensor.creation import full #DEFINE_ALIAS -from .tensor.creation import full_like #DEFINE_ALIAS -from .tensor.creation import triu #DEFINE_ALIAS -from .tensor.creation import tril #DEFINE_ALIAS -from .tensor.creation import meshgrid #DEFINE_ALIAS -from .tensor.creation import empty #DEFINE_ALIAS -from .tensor.creation import empty_like #DEFINE_ALIAS -from .tensor.creation import assign #DEFINE_ALIAS -from .tensor.linalg import matmul #DEFINE_ALIAS -from .tensor.linalg import dot #DEFINE_ALIAS -# from .tensor.linalg import einsum #DEFINE_ALIAS -from .tensor.linalg import norm #DEFINE_ALIAS -from .tensor.linalg import transpose #DEFINE_ALIAS -from .tensor.linalg import dist #DEFINE_ALIAS -from .tensor.linalg import t #DEFINE_ALIAS -from .tensor.linalg import cross #DEFINE_ALIAS -from .tensor.linalg import cholesky #DEFINE_ALIAS -# from .tensor.linalg import tensordot #DEFINE_ALIAS -from .tensor.linalg import bmm #DEFINE_ALIAS -from .tensor.linalg import histogram #DEFINE_ALIAS -from .tensor.linalg import mv #DEFINE_ALIAS -from .tensor.logic import equal #DEFINE_ALIAS -from .tensor.logic import greater_equal #DEFINE_ALIAS -from .tensor.logic import greater_than #DEFINE_ALIAS -from .tensor.logic import is_empty #DEFINE_ALIAS -#from .tensor.logic import isfinite #DEFINE_ALIAS -from .tensor.logic import less_equal #DEFINE_ALIAS -from .tensor.logic import less_than #DEFINE_ALIAS -from .tensor.logic import logical_and #DEFINE_ALIAS -from .tensor.logic import logical_not #DEFINE_ALIAS -from .tensor.logic import logical_or #DEFINE_ALIAS -from .tensor.logic import logical_xor #DEFINE_ALIAS -from .tensor.logic import not_equal #DEFINE_ALIAS -from .tensor.logic import allclose #DEFINE_ALIAS -from .tensor.logic import equal_all #DEFINE_ALIAS -# from .tensor.logic import isnan #DEFINE_ALIAS -from .tensor.logic import is_tensor #DEFINE_ALIAS -from .tensor.manipulation import cast #DEFINE_ALIAS -from .tensor.manipulation import concat #DEFINE_ALIAS -from .tensor.manipulation import expand #DEFINE_ALIAS -from .tensor.manipulation import broadcast_to #DEFINE_ALIAS -from .tensor.manipulation import expand_as #DEFINE_ALIAS -from .tensor.manipulation import tile #DEFINE_ALIAS -from .tensor.manipulation import flatten #DEFINE_ALIAS -from .tensor.manipulation import gather #DEFINE_ALIAS -from .tensor.manipulation import gather_nd #DEFINE_ALIAS -from .tensor.manipulation import reshape #DEFINE_ALIAS -from .tensor.manipulation import reshape_ #DEFINE_ALIAS -from .tensor.manipulation import flip as reverse #DEFINE_ALIAS -from .tensor.manipulation import scatter #DEFINE_ALIAS -from .tensor.manipulation import scatter_ #DEFINE_ALIAS -from .tensor.manipulation import scatter_nd_add #DEFINE_ALIAS -from .tensor.manipulation import scatter_nd #DEFINE_ALIAS -from .tensor.manipulation import shard_index #DEFINE_ALIAS -from .tensor.manipulation import slice #DEFINE_ALIAS -from .tensor.manipulation import split #DEFINE_ALIAS -from .tensor.manipulation import squeeze #DEFINE_ALIAS -from .tensor.manipulation import squeeze_ #DEFINE_ALIAS -from .tensor.manipulation import stack #DEFINE_ALIAS -from .tensor.manipulation import strided_slice #DEFINE_ALIAS -from .tensor.manipulation import transpose #DEFINE_ALIAS -from .tensor.manipulation import unique #DEFINE_ALIAS -from .tensor.manipulation import unsqueeze #DEFINE_ALIAS -from .tensor.manipulation import unsqueeze_ #DEFINE_ALIAS -from .tensor.manipulation import unstack #DEFINE_ALIAS -from .tensor.manipulation import flip #DEFINE_ALIAS -from .tensor.manipulation import unbind #DEFINE_ALIAS -from .tensor.manipulation import roll #DEFINE_ALIAS -from .tensor.manipulation import chunk #DEFINE_ALIAS -from .tensor.manipulation import tolist #DEFINE_ALIAS -from .tensor.math import abs #DEFINE_ALIAS -from .tensor.math import acos #DEFINE_ALIAS -from .tensor.math import asin #DEFINE_ALIAS -from .tensor.math import atan #DEFINE_ALIAS -from .tensor.math import ceil #DEFINE_ALIAS -from .tensor.math import cos #DEFINE_ALIAS -from .tensor.math import tan #DEFINE_ALIAS -from .tensor.math import cosh #DEFINE_ALIAS -from .tensor.math import cumsum #DEFINE_ALIAS -# from .tensor.math import elementwise_add #DEFINE_ALIAS -# from .tensor.math import elementwise_div #DEFINE_ALIAS -# from .tensor.math import elementwise_floordiv #DEFINE_ALIAS -# from .tensor.math import elementwise_mod #DEFINE_ALIAS -# from .tensor.math import elementwise_pow #DEFINE_ALIAS -# from .tensor.math import elementwise_sub #DEFINE_ALIAS -from .tensor.math import exp #DEFINE_ALIAS -from .tensor.math import floor #DEFINE_ALIAS -from .tensor.math import increment #DEFINE_ALIAS -from .tensor.math import log #DEFINE_ALIAS -from .tensor.math import log2 #DEFINE_ALIAS -from .tensor.math import log10 #DEFINE_ALIAS -from .tensor.math import multiplex #DEFINE_ALIAS -from .tensor.math import pow #DEFINE_ALIAS -from .tensor.math import reciprocal #DEFINE_ALIAS -# from .tensor.math import reduce_max #DEFINE_ALIAS -# from .tensor.math import reduce_min #DEFINE_ALIAS -# from .tensor.math import reduce_prod #DEFINE_ALIAS -# from .tensor.math import reduce_sum #DEFINE_ALIAS -from .tensor.math import all #DEFINE_ALIAS -from .tensor.math import any #DEFINE_ALIAS -from .tensor.math import round #DEFINE_ALIAS -from .tensor.math import rsqrt #DEFINE_ALIAS -from .tensor.math import scale #DEFINE_ALIAS -from .tensor.math import sign #DEFINE_ALIAS -from .tensor.math import sin #DEFINE_ALIAS -from .tensor.math import sinh #DEFINE_ALIAS -from .tensor.math import sqrt #DEFINE_ALIAS -from .tensor.math import square #DEFINE_ALIAS -from .tensor.math import stanh #DEFINE_ALIAS -from .tensor.math import sum #DEFINE_ALIAS -from .tensor.math import tanh #DEFINE_ALIAS -from .tensor.math import tanh_ #DEFINE_ALIAS -from .tensor.math import add_n #DEFINE_ALIAS -from .tensor.math import max #DEFINE_ALIAS -from .tensor.math import maximum #DEFINE_ALIAS -from .tensor.math import min #DEFINE_ALIAS -from .tensor.math import minimum #DEFINE_ALIAS -from .tensor.math import mm #DEFINE_ALIAS -from .tensor.math import divide #DEFINE_ALIAS -from .tensor.math import floor_divide #DEFINE_ALIAS -from .tensor.math import remainder #DEFINE_ALIAS -from .tensor.math import mod #DEFINE_ALIAS -from .tensor.math import floor_mod #DEFINE_ALIAS -from .tensor.math import multiply #DEFINE_ALIAS -from .tensor.math import add #DEFINE_ALIAS -from .tensor.math import subtract #DEFINE_ALIAS -from .tensor.math import atan #DEFINE_ALIAS -from .tensor.math import logsumexp #DEFINE_ALIAS -from .tensor.math import inverse #DEFINE_ALIAS -from .tensor.math import log1p #DEFINE_ALIAS -from .tensor.math import erf #DEFINE_ALIAS -from .tensor.math import addmm #DEFINE_ALIAS -from .tensor.math import clip #DEFINE_ALIAS -from .tensor.math import trace #DEFINE_ALIAS -from .tensor.math import kron #DEFINE_ALIAS -from .tensor.math import isfinite #DEFINE_ALIAS -from .tensor.math import isinf #DEFINE_ALIAS -from .tensor.math import isnan #DEFINE_ALIAS -from .tensor.math import prod #DEFINE_ALIAS -from .tensor.math import broadcast_shape #DEFINE_ALIAS -from .tensor.math import conj #DEFINE_ALIAS +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 +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 +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 +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 +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 transpose # noqa: F401 +from .tensor.manipulation import unique # noqa: F401 +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 +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 +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 +from .tensor.math import exp # noqa: F401 +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 atan # 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 +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 -from .tensor.random import multinomial #DEFINE_ALIAS -from .tensor.random import standard_normal -from .tensor.random import normal -from .tensor.random import uniform #DEFINE_ALIAS -from .tensor.random import randn #DEFINE_ALIAS -from .tensor.random import rand #DEFINE_ALIAS -from .tensor.random import randint #DEFINE_ALIAS -from .tensor.random import randperm #DEFINE_ALIAS -from .tensor.search import argmax #DEFINE_ALIAS -from .tensor.search import argmin #DEFINE_ALIAS -from .tensor.search import argsort #DEFINE_ALIAS -# from .tensor.search import has_inf #DEFINE_ALIAS -# from .tensor.search import has_nan #DEFINE_ALIAS -from .tensor.search import masked_select #DEFINE_ALIAS -from .tensor.search import topk #DEFINE_ALIAS -from .tensor.search import where #DEFINE_ALIAS -from .tensor.search import index_select #DEFINE_ALIAS -from .tensor.search import nonzero #DEFINE_ALIAS -from .tensor.search import sort #DEFINE_ALIAS +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 +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 -from .tensor.to_string import set_printoptions #DEFINE_ALIAS +from .tensor.to_string import set_printoptions # noqa: F401 -from .framework.random import seed #DEFINE_ALIAS -from .framework.random import get_cuda_rng_state #DEFINE_ALIAS -from .framework.random import set_cuda_rng_state #DEFINE_ALIAS -from .framework import ParamAttr #DEFINE_ALIAS -# from .framework import create_global_var #DEFINE_ALIAS -from .framework import create_parameter #DEFINE_ALIAS -from .framework import CPUPlace #DEFINE_ALIAS -from .framework import CUDAPlace #DEFINE_ALIAS -from .framework import NPUPlace #DEFINE_ALIAS -from .framework import CUDAPinnedPlace #DEFINE_ALIAS +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 -from .framework import grad #DEFINE_ALIAS -from .framework import no_grad #DEFINE_ALIAS -from .framework import set_grad_enabled #DEFINE_ALIAS -from .framework import save #DEFINE_ALIAS -from .framework import load #DEFINE_ALIAS -from .framework import DataParallel #DEFINE_ALIAS +from .framework import grad # noqa: F401 +from .framework import no_grad # noqa: F401 +from .framework import set_grad_enabled # noqa: F401 +from .framework import save # noqa: F401 +from .framework import load # noqa: F401 +from .framework import DataParallel # noqa: F401 from .framework import set_default_dtype #DEFINE_ALIAS from .framework import get_default_dtype #DEFINE_ALIAS from .framework import set_grad_enabled #DEFINE_ALIAS -from .tensor.search import index_sample #DEFINE_ALIAS -from .tensor.stat import mean #DEFINE_ALIAS -# from .tensor.stat import reduce_mean #DEFINE_ALIAS -from .tensor.stat import std #DEFINE_ALIAS -from .tensor.stat import var #DEFINE_ALIAS -# from .fluid.data import data -from .tensor.stat import numel #DEFINE_ALIAS -from .tensor.stat import median #DEFINE_ALIAS -from .device import get_cudnn_version -from .device import set_device -from .device import get_device -from .device import is_compiled_with_cuda #DEFINE_ALIAS -from .device import is_compiled_with_xpu -from .device import is_compiled_with_npu -from .device import XPUPlace -# from .tensor.tensor import Tensor #DEFINE_ALIAS -# from .tensor.tensor import LoDTensor #DEFINE_ALIAS -# from .tensor.tensor import LoDTensorArray #DEFINE_ALIAS +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 +from .device import is_compiled_with_xpu # noqa: F401 +from .device import is_compiled_with_npu # noqa: F401 +from .device import XPUPlace # noqa: F401 -from .fluid.dygraph.base import enable_dygraph as disable_static #DEFINE_ALIAS -from .fluid.dygraph.base import disable_dygraph as enable_static #DEFINE_ALIAS -from .fluid.framework import in_dygraph_mode as in_dynamic_mode #DEFINE_ALIAS -from .fluid.layers import crop_tensor as crop #DEFINE_ALIAS - -from . import jit -from . import static -from . import amp -from . import onnx +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 # high-level api -from .hapi import Model -from .hapi import callbacks -from .hapi import summary -from .hapi import flops -from .hapi import hub +from .hapi import Model # noqa: F401 +from .hapi import callbacks # noqa: F401 +from .hapi import summary # noqa: F401 +from .hapi import flops # noqa: F401 +from .hapi import hub # noqa: F401 -import paddle.text -import paddle.vision +import paddle.text # noqa: F401 +import paddle.vision # noqa: F401 +from .tensor.random import check_shape # noqa: F401 disable_static() + +__all__ = [ #noqa + 'dtype', + 'uint8', + 'int8', + 'int16', + 'int32', + 'int64', + 'float16', + 'float32', + 'float64', + 'bfloat16', + 'bool', + 'complex64', + 'complex128', + 'addmm', + 'allclose', + 't', + 'add', + 'subtract', + 'diag', + 'isnan', + 'scatter_nd_add', + 'unstack', + 'get_default_dtype', + 'save', + 'multinomial', + 'get_cuda_rng_state', + 'rank', + 'empty_like', + 'eye', + 'cumsum', + 'sign', + 'is_empty', + 'equal', + 'equal_all', + 'is_tensor', + 'cross', + 'where', + 'log1p', + 'cos', + 'tan', + 'mean', + 'XPUPlace', + 'mv', + 'in_dynamic_mode', + 'min', + 'any', + 'slice', + 'normal', + 'logsumexp', + 'full', + 'unsqueeze', + 'unsqueeze_', + 'argmax', + 'Model', + 'callbacks', + 'summary', + 'flops', + 'hub', + 'sort', + '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', + 'set_device', + 'uniform', + 'floor_divide', + 'remainder', + 'floor_mod', + 'roll', + 'batch', + 'max', + 'norm', + 'logical_or', + 'mm', + 'flip', + 'histogram', + 'multiplex', + 'CUDAPlace', + 'NPUPlace', + 'empty', + 'shape', + 'real', + 'imag', + 'reciprocal', + 'rand', + 'less_equal', + 'triu', + 'is_compiled_with_cuda', + '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', + 'bernoulli', + 'summary', + 'sinh', + 'is_compiled_with_xpu', + 'is_compiled_with_npu', + 'round', + 'DataParallel', + 'argmin', + 'prod', + 'broadcast_shape', + 'conj', + 'square', + 'divide', + 'ceil', + 'atan', + 'expand', + 'broadcast_to', + 'ones_like', + 'index_sample', + 'cast', + 'grad', + 'all', + 'ones', + 'not_equal', + 'sum', + 'tile', + 'get_device', + 'greater_equal', + 'isfinite', + 'create_parameter', + 'dot', + 'increment', + 'erf', + 'bmm', + 'chunk', + 'tolist', + 'greater_than', + 'shard_index', + 'argsort', + 'tanh', + 'tanh_', + 'transpose', + 'randn', + 'strided_slice', + 'unique', + 'set_cuda_rng_state', + 'set_printoptions', + 'std', + 'flatten', + 'asin', + 'multiply', + 'disable_static', + 'masked_select', + 'var', + 'trace', + 'enable_static', + 'scatter_nd', + 'set_default_dtype', + 'expand_as', + 'get_cudnn_version', + 'stack', + 'sqrt', + 'cholesky', + 'randperm', + 'linspace', + 'reshape', + 'reshape_', + 'reverse', + 'nonzero', + 'CUDAPinnedPlace', + 'logical_not', + 'add_n', + 'minimum', + 'ComplexTensor', + 'scatter', + 'scatter_', + 'floor', + 'cosh', + 'log', + 'log2', + 'log10', + 'concat', + 'check_shape' +] -- GitLab