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未验证 提交 f1bc322c 编写于 作者: Z zhiboniu 提交者： GitHub
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update 2.0 public api in tensor (#32026)

上级 0bc97e92
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Showing with 367 addition and 464 deletion
python/paddle/fluid/dygraph/math_op_patch.py
浏览文件 @ f1bc322c
......@@ -325,13 +325,7 @@ def monkey_patch_math_varbase():
else:
import paddle.tensor
# Tensor method from module paddle.tensor
tensor_methods = paddle.tensor.linalg.__all__ + \
paddle.tensor.math.__all__ + \
paddle.tensor.logic.__all__ + \
paddle.tensor.manipulation.__all__ + \
paddle.tensor.search.__all__ + \
paddle.tensor.stat.__all__ + \
paddle.tensor.attribute.__all__
tensor_methods = paddle.tensor.tensor_method_func
for method_name in tensor_methods:
if hasattr(core.VarBase, method_name): continue
method_impl = getattr(paddle.tensor, method_name, None)
......
python/paddle/fluid/layers/math_op_patch.py
浏览文件 @ f1bc322c
......@@ -370,13 +370,7 @@ def monkey_patch_variable():
setattr(Variable, method_name, method_impl)
else:
import paddle.tensor
variabel_methods = paddle.tensor.linalg.__all__ + \
paddle.tensor.math.__all__ + \
paddle.tensor.logic.__all__ + \
paddle.tensor.manipulation.__all__ + \
paddle.tensor.search.__all__ + \
paddle.tensor.stat.__all__ + \
paddle.tensor.attribute.__all__
variabel_methods = paddle.tensor.tensor_method_func
for method_name in variabel_methods:
if hasattr(Variable, method_name): continue
method_impl = getattr(paddle.tensor, method_name, None)
......
python/paddle/tensor/__init__.py
浏览文件 @ f1bc322c
......@@ -11,205 +11,315 @@
# 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 __future__ import print_function
#from .math import *
#from .creation import *
#from .linalg import *
from .attribute import rank # noqa: F401
from .attribute import shape # noqa: F401
from .attribute import real # noqa: F401
from .attribute import imag # noqa: F401
from .creation import to_tensor # noqa: F401
from .creation import diag # noqa: F401
from .creation import eye # noqa: F401
from .creation import linspace # noqa: F401
from .creation import ones # noqa: F401
from .creation import ones_like # noqa: F401
from .creation import zeros # noqa: F401
from .creation import zeros_like # noqa: F401
from .creation import arange # noqa: F401
from .creation import eye # noqa: F401
from .creation import full # noqa: F401
from .creation import full_like # noqa: F401
from .creation import triu # noqa: F401
from .creation import tril # noqa: F401
from .creation import meshgrid # noqa: F401
from .creation import empty # noqa: F401
from .creation import empty_like # noqa: F401
from .linalg import matmul # noqa: F401
from .linalg import dot # noqa: F401
from .linalg import norm # noqa: F401
from .linalg import transpose # noqa: F401
from .linalg import dist # noqa: F401
from .linalg import t # noqa: F401
from .linalg import cross # noqa: F401
from .linalg import cholesky # noqa: F401
from .linalg import bmm # noqa: F401
from .linalg import histogram # noqa: F401
from .linalg import mv # noqa: F401
from .logic import equal # noqa: F401
from .logic import greater_equal # noqa: F401
from .logic import greater_than # noqa: F401
from .logic import is_empty # noqa: F401
from .logic import less_equal # noqa: F401
from .logic import less_than # noqa: F401
from .logic import logical_and # noqa: F401
from .logic import logical_not # noqa: F401
from .logic import logical_or # noqa: F401
from .logic import logical_xor # noqa: F401
from .logic import not_equal # noqa: F401
from .logic import allclose # noqa: F401
from .logic import equal_all # noqa: F401
from .logic import is_tensor # noqa: F401
from .manipulation import cast # noqa: F401
from .manipulation import concat # noqa: F401
from .manipulation import expand # noqa: F401
from .manipulation import broadcast_to # noqa: F401
from .manipulation import expand_as # noqa: F401
from .manipulation import tile # noqa: F401
from .manipulation import flatten # noqa: F401
from .manipulation import gather # noqa: F401
from .manipulation import gather_nd # noqa: F401
from .manipulation import reshape # noqa: F401
from .manipulation import reshape_ # noqa: F401
from .manipulation import flip as reverse # noqa: F401
from .manipulation import scatter # noqa: F401
from .manipulation import scatter_ # noqa: F401
from .manipulation import scatter_nd_add # noqa: F401
from .manipulation import scatter_nd # noqa: F401
from .manipulation import shard_index # noqa: F401
from .manipulation import slice # noqa: F401
from .manipulation import split # noqa: F401
from .manipulation import squeeze # noqa: F401
from .manipulation import squeeze_ # noqa: F401
from .manipulation import stack # noqa: F401
from .manipulation import strided_slice # noqa: F401
from .manipulation import transpose # noqa: F401
from .manipulation import unique # noqa: F401
from .manipulation import unsqueeze # noqa: F401
from .manipulation import unsqueeze_ # noqa: F401
from .manipulation import unstack # noqa: F401
from .manipulation import flip # noqa: F401
from .manipulation import unbind # noqa: F401
from .manipulation import roll # noqa: F401
from .manipulation import chunk # noqa: F401
from .math import abs # noqa: F401
from .math import acos # noqa: F401
from .math import asin # noqa: F401
from .math import atan # noqa: F401
from .math import ceil # noqa: F401
from .math import cos # noqa: F401
from .math import tan # noqa: F401
from .math import cosh # noqa: F401
from .math import cumsum # noqa: F401
from .math import exp # noqa: F401
from .math import floor # noqa: F401
from .math import increment # noqa: F401
from .math import log # noqa: F401
from .math import multiplex # noqa: F401
from .math import pow # noqa: F401
from .math import reciprocal # noqa: F401
from .math import round # noqa: F401
from .math import rsqrt # noqa: F401
from .math import scale # noqa: F401
from .math import sign # noqa: F401
from .math import sin # noqa: F401
from .math import sinh # noqa: F401
from .math import sqrt # noqa: F401
from .math import square # noqa: F401
from .math import stanh # noqa: F401
from .math import sum # noqa: F401
from .math import tanh # noqa: F401
from .math import tanh_ # noqa: F401
from .math import add_n # noqa: F401
from .math import max # noqa: F401
from .math import maximum # noqa: F401
from .math import min # noqa: F401
from .math import minimum # noqa: F401
from .math import mm # noqa: F401
from .math import divide # noqa: F401
from .math import floor_divide # noqa: F401
from .math import remainder # noqa: F401
from .math import mod # noqa: F401
from .math import floor_mod # noqa: F401
from .math import multiply # noqa: F401
from .math import add # noqa: F401
from .math import subtract # noqa: F401
from .math import atan # noqa: F401
from .math import logsumexp # noqa: F401
from .math import inverse # noqa: F401
from .math import log2 # noqa: F401
from .math import log10 # noqa: F401
from .math import log1p # noqa: F401
from .math import erf # noqa: F401
from .math import addmm # noqa: F401
from .math import clip # noqa: F401
from .math import trace # noqa: F401
from .math import kron # noqa: F401
from .math import isfinite # noqa: F401
from .math import isinf # noqa: F401
from .math import isnan # noqa: F401
from .math import prod # noqa: F401
from .math import all # noqa: F401
from .math import any # noqa: F401
from .math import broadcast_shape # noqa: F401
from .math import conj # noqa: F401
# TODO: define alias in tensor and framework directory
from .random import multinomial # noqa: F401
from .random import standard_normal # noqa: F401
from .random import normal # noqa: F401
from .random import uniform # noqa: F401
from .random import randn # noqa: F401
from .random import rand # noqa: F401
from .random import randint # noqa: F401
from .random import randperm # noqa: F401
from .search import argmax # noqa: F401
from .search import argmin # noqa: F401
from .search import argsort # noqa: F401
from .search import topk # noqa: F401
from .search import where # noqa: F401
from .search import index_select # noqa: F401
from .search import nonzero # noqa: F401
from .search import sort # noqa: F401
from .search import index_sample # noqa: F401
from .search import masked_select # noqa: F401
from .stat import mean # noqa: F401
from .stat import std # noqa: F401
from .stat import var # noqa: F401
from .stat import numel # noqa: F401
from .stat import median # noqa: F401
from .to_string import set_printoptions # noqa: F401
from .random import randperm
from .attribute import rank #DEFINE_ALIAS
from .attribute import shape #DEFINE_ALIAS
from .attribute import real #DEFINE_ALIAS
from .attribute import imag #DEFINE_ALIAS
from .creation import to_tensor #DEFINE_ALIAS
from .creation import diag #DEFINE_ALIAS
from .creation import eye #DEFINE_ALIAS
# from .creation import fill_constant #DEFINE_ALIAS
# from .creation import get_tensor_from_selected_rows #DEFINE_ALIAS
from .creation import linspace #DEFINE_ALIAS
from .creation import ones #DEFINE_ALIAS
from .creation import ones_like #DEFINE_ALIAS
from .creation import zeros #DEFINE_ALIAS
from .creation import zeros_like #DEFINE_ALIAS
from .creation import arange #DEFINE_ALIAS
from .creation import eye #DEFINE_ALIAS
from .creation import full #DEFINE_ALIAS
from .creation import full_like #DEFINE_ALIAS
from .creation import triu #DEFINE_ALIAS
from .creation import tril #DEFINE_ALIAS
from .creation import meshgrid #DEFINE_ALIAS
from .creation import empty #DEFINE_ALIAS
from .creation import empty_like #DEFINE_ALIAS
from .linalg import matmul #DEFINE_ALIAS
from .linalg import dot #DEFINE_ALIAS
# from .linalg import einsum #DEFINE_ALIAS
from .linalg import norm #DEFINE_ALIAS
from .linalg import transpose #DEFINE_ALIAS
from .linalg import dist #DEFINE_ALIAS
from .linalg import t #DEFINE_ALIAS
from .linalg import cross #DEFINE_ALIAS
from .linalg import cholesky #DEFINE_ALIAS
# from .linalg import tensordot #DEFINE_ALIAS
from .linalg import bmm #DEFINE_ALIAS
from .linalg import histogram #DEFINE_ALIAS
from .linalg import mv #DEFINE_ALIAS
from .logic import equal #DEFINE_ALIAS
from .logic import greater_equal #DEFINE_ALIAS
from .logic import greater_than #DEFINE_ALIAS
from .logic import is_empty #DEFINE_ALIAS
#from .logic import isfinite #DEFINE_ALIAS
from .logic import less_equal #DEFINE_ALIAS
from .logic import less_than #DEFINE_ALIAS
from .logic import logical_and #DEFINE_ALIAS
from .logic import logical_not #DEFINE_ALIAS
from .logic import logical_or #DEFINE_ALIAS
from .logic import logical_xor #DEFINE_ALIAS
from .logic import not_equal #DEFINE_ALIAS
from .logic import allclose #DEFINE_ALIAS
from .logic import equal_all #DEFINE_ALIAS
# from .logic import isnan #DEFINE_ALIAS
from .logic import is_tensor #DEFINE_ALIAS
from .manipulation import cast #DEFINE_ALIAS
from .manipulation import concat #DEFINE_ALIAS
from .manipulation import expand #DEFINE_ALIAS
from .manipulation import broadcast_to #DEFINE_ALIAS
from .manipulation import expand_as #DEFINE_ALIAS
from .manipulation import tile #DEFINE_ALIAS
from .manipulation import flatten #DEFINE_ALIAS
from .manipulation import gather #DEFINE_ALIAS
from .manipulation import gather_nd #DEFINE_ALIAS
from .manipulation import reshape #DEFINE_ALIAS
from .manipulation import reshape_ #DEFINE_ALIAS
from .manipulation import flip as reverse #DEFINE_ALIAS
from .manipulation import scatter #DEFINE_ALIAS
from .manipulation import scatter_ #DEFINE_ALIAS
from .manipulation import scatter_nd_add #DEFINE_ALIAS
from .manipulation import scatter_nd #DEFINE_ALIAS
from .manipulation import shard_index #DEFINE_ALIAS
from .manipulation import slice #DEFINE_ALIAS
from .manipulation import split #DEFINE_ALIAS
from .manipulation import squeeze #DEFINE_ALIAS
from .manipulation import squeeze_ #DEFINE_ALIAS
from .manipulation import stack #DEFINE_ALIAS
from .manipulation import strided_slice #DEFINE_ALIAS
from .manipulation import transpose #DEFINE_ALIAS
from .manipulation import unique #DEFINE_ALIAS
from .manipulation import unsqueeze #DEFINE_ALIAS
from .manipulation import unsqueeze_ #DEFINE_ALIAS
from .manipulation import unstack #DEFINE_ALIAS
from .manipulation import flip #DEFINE_ALIAS
from .manipulation import unbind #DEFINE_ALIAS
from .manipulation import roll #DEFINE_ALIAS
from .manipulation import chunk #DEFINE_ALIAS
from .math import abs #DEFINE_ALIAS
from .math import acos #DEFINE_ALIAS
from .math import asin #DEFINE_ALIAS
from .math import atan #DEFINE_ALIAS
from .math import ceil #DEFINE_ALIAS
from .math import cos #DEFINE_ALIAS
from .math import tan #DEFINE_ALIAS
from .math import cosh #DEFINE_ALIAS
from .math import cumsum #DEFINE_ALIAS
# from .math import elementwise_add #DEFINE_ALIAS
# from .math import elementwise_div #DEFINE_ALIAS
# from .math import elementwise_floordiv #DEFINE_ALIAS
# from .math import elementwise_mul #DEFINE_ALIAS
# from .math import elementwise_mod #DEFINE_ALIAS
# from .math import elementwise_pow #DEFINE_ALIAS
# from .math import elementwise_sub #DEFINE_ALIAS
from .math import exp #DEFINE_ALIAS
from .math import floor #DEFINE_ALIAS
from .math import increment #DEFINE_ALIAS
from .math import log #DEFINE_ALIAS
from .math import multiplex #DEFINE_ALIAS
from .math import pow #DEFINE_ALIAS
from .math import reciprocal #DEFINE_ALIAS
# from .math import reduce_max #DEFINE_ALIAS
# from .math import reduce_min #DEFINE_ALIAS
# from .math import reduce_prod #DEFINE_ALIAS
# from .math import reduce_sum #DEFINE_ALIAS
from .math import round #DEFINE_ALIAS
from .math import rsqrt #DEFINE_ALIAS
from .math import scale #DEFINE_ALIAS
from .math import sign #DEFINE_ALIAS
from .math import sin #DEFINE_ALIAS
from .math import sinh #DEFINE_ALIAS
from .math import sqrt #DEFINE_ALIAS
from .math import square #DEFINE_ALIAS
from .math import stanh #DEFINE_ALIAS
from .math import sum #DEFINE_ALIAS
from .math import tanh #DEFINE_ALIAS
from .math import tanh_ #DEFINE_ALIAS
from .math import add_n #DEFINE_ALIAS
from .math import max #DEFINE_ALIAS
from .math import maximum #DEFINE_ALIAS
from .math import min #DEFINE_ALIAS
from .math import minimum #DEFINE_ALIAS
from .math import mm #DEFINE_ALIAS
from .math import divide #DEFINE_ALIAS
from .math import floor_divide #DEFINE_ALIAS
from .math import remainder #DEFINE_ALIAS
from .math import mod #DEFINE_ALIAS
from .math import floor_mod #DEFINE_ALIAS
from .math import multiply #DEFINE_ALIAS
from .math import add #DEFINE_ALIAS
from .math import subtract #DEFINE_ALIAS
from .math import atan #DEFINE_ALIAS
from .math import logsumexp #DEFINE_ALIAS
from .math import inverse #DEFINE_ALIAS
from .math import log2 #DEFINE_ALIAS
from .math import log10 #DEFINE_ALIAS
from .math import log1p #DEFINE_ALIAS
from .math import erf #DEFINE_ALIAS
from .math import addmm #DEFINE_ALIAS
from .math import clip #DEFINE_ALIAS
from .math import trace #DEFINE_ALIAS
from .math import kron #DEFINE_ALIAS
from .math import isfinite #DEFINE_ALIAS
from .math import isinf #DEFINE_ALIAS
from .math import isnan #DEFINE_ALIAS
from .math import prod #DEFINE_ALIAS
from .math import all #DEFINE_ALIAS
from .math import any #DEFINE_ALIAS
from .math import broadcast_shape #DEFINE_ALIAS
from .math import conj #DEFINE_ALIAS
from .array import array_length # noqa: F401
from .array import array_read # noqa: F401
from .array import array_write # noqa: F401
from .array import create_array # noqa: F401
from .random import multinomial #DEFINE_ALIAS
from .random import standard_normal
from .random import normal
from .random import uniform #DEFINE_ALIAS
from .random import randn #DEFINE_ALIAS
from .random import rand #DEFINE_ALIAS
from .random import randint #DEFINE_ALIAS
from .random import randperm #DEFINE_ALIAS
from .search import argmax #DEFINE_ALIAS
from .search import argmin #DEFINE_ALIAS
from .search import argsort #DEFINE_ALIAS
# from .search import has_inf #DEFINE_ALIAS
# from .search import has_nan #DEFINE_ALIAS
# from .search import masked_select #DEFINE_ALIAS
from .search import topk #DEFINE_ALIAS
from .search import where #DEFINE_ALIAS
from .search import index_select #DEFINE_ALIAS
from .search import nonzero #DEFINE_ALIAS
from .search import sort #DEFINE_ALIAS
from .search import index_sample #DEFINE_ALIAS
from .search import masked_select #DEFINE_ALIAS
from .stat import mean #DEFINE_ALIAS
# from .stat import reduce_mean #DEFINE_ALIAS
from .stat import std #DEFINE_ALIAS
from .stat import var #DEFINE_ALIAS
from .stat import numel #DEFINE_ALIAS
from .stat import median #DEFINE_ALIAS
# from .tensor import Tensor #DEFINE_ALIAS
# from .tensor import LoDTensor #DEFINE_ALIAS
# from .tensor import LoDTensorArray #DEFINE_ALIAS
from .to_string import set_printoptions #DEFINE_ALIAS
from .array import array_length #DEFINE_ALIAS
from .array import array_read #DEFINE_ALIAS
from .array import array_write #DEFINE_ALIAS
from .array import create_array #DEFINE_ALIAS
#this list used in math_op_patch.py for _binary_creator_
tensor_method_func = [ #noqa
'matmul',
'dot',
'norm',
'transpose',
'dist',
't',
'cross',
'cholesky',
'bmm',
'histogram',
'mv',
'abs',
'acos',
'all',
'any',
'asin',
'atan',
'ceil',
'cos',
'cosh',
'cumsum',
'exp',
'floor',
'increment',
'log',
'log2',
'log10',
'logsumexp',
'mul',
'multiplex',
'pow',
'prod',
'reciprocal',
'round',
'rsqrt',
'scale',
'sign',
'sin',
'sinh',
'sqrt',
'square',
'stanh',
'sum',
'tanh',
'tanh_',
'add_n',
'max',
'maximum',
'min',
'minimum',
'mm',
'divide',
'floor_divide',
'remainder',
'mod',
'floor_mod',
'multiply',
'add',
'subtract',
'atan',
'logsumexp',
'inverse',
'log1p',
'erf',
'addmm',
'clip',
'trace',
'kron',
'isfinite',
'isinf',
'isnan',
'broadcast_shape',
'conj',
'equal',
'equal_all',
'greater_equal',
'greater_than',
'is_empty',
'less_equal',
'less_than',
'logical_and',
'logical_not',
'logical_or',
'logical_xor',
'not_equal',
'allclose',
'is_tensor',
'cast',
'concat',
'expand',
'broadcast_to',
'expand_as',
'flatten',
'gather',
'gather_nd',
'reshape',
'reshape_',
'reverse',
'scatter',
'scatter_',
'scatter_nd_add',
'scatter_nd',
'shard_index',
'slice',
'split',
'chunk',
'squeeze',
'squeeze_',
'stack',
'strided_slice',
'transpose',
'unique',
'unsqueeze',
'unsqueeze_',
'unstack',
'flip',
'unbind',
'roll',
'tile',
'argmax',
'argmin',
'argsort',
'masked_select',
'topk',
'where',
'index_select',
'nonzero',
'sort',
'index_sample',
'mean',
'std',
'var',
'numel',
'median',
'rank',
'shape',
'real',
'imag'
]
python/paddle/tensor/attribute.py
浏览文件 @ f1bc322c
......@@ -19,10 +19,8 @@ from ..fluid.layer_helper import LayerHelper
from ..fluid.data_feeder import check_variable_and_dtype
# TODO: define functions to get tensor attributes
from ..fluid.layers import rank #DEFINE_ALIAS
from ..fluid.layers import shape #DEFINE_ALIAS
__all__ = ['rank', 'shape', 'real', 'imag']
from ..fluid.layers import rank # noqa: F401
from ..fluid.layers import shape # noqa: F401
def _complex_to_real_dtype(dtype):
......
python/paddle/tensor/creation.py
浏览文件 @ f1bc322c
......@@ -14,6 +14,8 @@
from __future__ import print_function
import numpy as np
from paddle.common_ops_import import fill_constant
from ..fluid.layers import utils
from ..fluid.layers import tensor
from ..fluid.framework import Variable
......@@ -25,32 +27,10 @@ from ..fluid.layers import core
from ..fluid.layer_helper import LayerHelper
from ..fluid.data_feeder import check_variable_and_dtype, check_type, check_dtype, convert_dtype
from ..fluid.framework import convert_np_dtype_to_dtype_, in_dygraph_mode, _varbase_creator, device_guard, OpProtoHolder
from paddle.common_ops_import import *
# TODO: define functions to get create a tensor
from ..fluid.layers import linspace #DEFINE_ALIAS
from ..fluid.layers import linspace # noqa: F401
import paddle
__all__ = [
'to_tensor',
'diag',
# 'get_tensor_from_selected_rows',
'linspace',
'ones',
'ones_like',
'zeros',
'zeros_like',
'arange',
'eye',
'full',
'full_like',
'empty',
'empty_like',
'triu',
'tril',
'meshgrid',
'assign',
]
@dygraph_only
def to_tensor(data, dtype=None, place=None, stop_gradient=True):
......@@ -1060,6 +1040,6 @@ def assign(x, output=None):
result2 = paddle.assign(data) # result2 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
result3 = paddle.assign(np.array([[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]], dtype='float32')) # result3 = [[2.5, 2.5], [2.5, 2.5], [2.5, 2.5]]
"""
check_type(x, 'x', (Variable, numpy.ndarray, list, tuple, float, int, bool),
check_type(x, 'x', (Variable, np.ndarray, list, tuple, float, int, bool),
'assign')
return tensor.assign(x, output)
python/paddle/tensor/linalg.py
浏览文件 @ f1bc322c
......@@ -13,28 +13,13 @@
# limitations under the License.
import numpy as np
from paddle.common_ops_import import *
from ..fluid.layer_helper import LayerHelper
from ..fluid.data_feeder import check_variable_and_dtype, check_type
from ..fluid.framework import in_dygraph_mode, _varbase_creator
from ..fluid.layers import transpose #DEFINE_ALIAS
__all__ = [
'matmul',
'dot',
# 'einsum',
'norm',
'transpose',
'dist',
't',
'cross',
'cholesky',
# 'tensordot',
'bmm',
'histogram',
'mv'
]
from ..fluid.layers import transpose # noqa: F401
from paddle.common_ops_import import core
from paddle.common_ops_import import VarDesc
def matmul(x, y, transpose_x=False, transpose_y=False, name=None):
......
python/paddle/tensor/logic.py
浏览文件 @ f1bc322c
......@@ -17,33 +17,16 @@ from ..fluid.data_feeder import check_type, check_variable_and_dtype
from ..fluid.layers.layer_function_generator import templatedoc
from .. import fluid
from ..fluid.framework import in_dygraph_mode
from paddle.common_ops_import import *
from ..framework import VarBase as Tensor
# TODO: define logic functions of a tensor
from ..fluid.layers import is_empty #DEFINE_ALIAS
from ..fluid.layers import logical_and #DEFINE_ALIAS
from ..fluid.layers import logical_not #DEFINE_ALIAS
from ..fluid.layers import logical_or #DEFINE_ALIAS
from ..fluid.layers import logical_xor #DEFINE_ALIAS
__all__ = [
'equal',
'equal_all',
'greater_equal',
'greater_than',
'is_empty',
'less_equal',
'less_than',
'logical_and',
'logical_not',
'logical_or',
'logical_xor',
'not_equal',
'allclose',
'is_tensor'
# 'isnan'
]
from ..fluid.layers import is_empty # noqa: F401
from ..fluid.layers import logical_and # noqa: F401
from ..fluid.layers import logical_not # noqa: F401
from ..fluid.layers import logical_or # noqa: F401
from ..fluid.layers import logical_xor # noqa: F401
from paddle.common_ops_import import core
def equal_all(x, y, name=None):
......
python/paddle/tensor/manipulation.py
浏览文件 @ f1bc322c
......@@ -23,52 +23,17 @@ from ..fluid.layers import utils
import numpy as np
import six
# TODO: define functions to manipulate a tensor
from ..fluid.layers import cast #DEFINE_ALIAS
from ..fluid.layers import slice #DEFINE_ALIAS
from ..fluid.layers import transpose #DEFINE_ALIAS
from ..fluid.layers import unstack #DEFINE_ALIAS
from ..fluid.layers import cast # noqa: F401
from ..fluid.layers import slice # noqa: F401
from ..fluid.layers import transpose # noqa: F401
from ..fluid.layers import unstack # noqa: F401
from ..fluid.layers import scatter_nd #DEFINE_ALIAS
from ..fluid.layers import shard_index #DEFINE_ALIAS
from ..fluid.layers import scatter_nd # noqa: F401
from ..fluid.layers import shard_index # noqa: F401
from ..fluid import layers
import paddle
import warnings
__all__ = [
'cast',
'concat',
'expand',
'broadcast_to',
'expand_as',
'flatten',
'gather',
'gather_nd',
'reshape',
'reshape_',
'reverse',
'scatter',
'scatter_',
'scatter_nd_add',
'scatter_nd',
'shard_index',
'slice',
'split',
'chunk',
'squeeze',
'squeeze_',
'stack',
'strided_slice',
'transpose',
'unique',
'unsqueeze',
'unsqueeze_',
'unstack',
'flip',
'unbind',
'roll',
'tile',
]
def _print_warning_in_static_mode(api_name):
warnings.warn(
......
python/paddle/tensor/math.py
浏览文件 @ f1bc322c
......@@ -17,7 +17,12 @@ math functions
from __future__ import print_function
import numpy as np
from paddle.common_ops_import import *
from paddle.common_ops_import import VarDesc
from paddle.common_ops_import import dygraph_only
from paddle.common_ops_import import OpProtoHolder
from paddle.common_ops_import import templatedoc
from paddle.common_ops_import import dygraph_utils
from paddle.tensor import cast
import paddle
from ..fluid import layers
......@@ -29,109 +34,31 @@ from .manipulation import _print_warning_in_static_mode
# TODO: define math functions
# yapf: disable
from ..fluid.layers import abs #DEFINE_ALIAS
from ..fluid.layers import acos #DEFINE_ALIAS
from ..fluid.layers import asin #DEFINE_ALIAS
from ..fluid.layers import ceil #DEFINE_ALIAS
from ..fluid.layers import cos #DEFINE_ALIAS
from ..fluid.layers import tan #DEFINE_ALIAS
from ..fluid.layers import sinh #DEFINE_ALIAS
from ..fluid.layers import cosh #DEFINE_ALIAS
# from ..fluid.layers import elementwise_add #DEFINE_ALIAS
# from ..fluid.layers import elementwise_div #DEFINE_ALIAS
# from ..fluid.layers import elementwise_floordiv #DEFINE_ALIAS
# from ..fluid.layers import elementwise_mod #DEFINE_ALIAS
# from ..fluid.layers import elementwise_mul #DEFINE_ALIAS
# from ..fluid.layers import elementwise_pow #DEFINE_ALIAS
# from ..fluid.layers import elementwise_sub #DEFINE_ALIAS
from ..fluid.layers import exp #DEFINE_ALIAS
from ..fluid.layers import floor #DEFINE_ALIAS
from ..fluid.layers import log #DEFINE_ALIAS
from ..fluid.layers import reciprocal #DEFINE_ALIAS
# from ..fluid.layers import reduce_max #DEFINE_ALIAS
# from ..fluid.layers import reduce_min #DEFINE_ALIAS
# from ..fluid.layers import reduce_prod #DEFINE_ALIAS
# from ..fluid.layers import reduce_sum #DEFINE_ALIAS
from ..fluid.layers import round #DEFINE_ALIAS
from ..fluid.layers import rsqrt #DEFINE_ALIAS
from ..fluid.layers import scale #DEFINE_ALIAS
from ..fluid.layers import square #DEFINE_ALIAS
from ..fluid.layers import stanh #DEFINE_ALIAS
from ..fluid.layers import atan #DEFINE_ALIAS
from ..fluid.layers import erf #DEFINE_ALIAS
from ..fluid.layers import sqrt #DEFINE_ALIAS
from ..fluid.layers import sin #DEFINE_ALIAS
from ..fluid.layers import multiplex #DEFINE_ALIAS
from ..fluid.layers import abs # noqa: F401
from ..fluid.layers import acos # noqa: F401
from ..fluid.layers import asin # noqa: F401
from ..fluid.layers import ceil # noqa: F401
from ..fluid.layers import cos # noqa: F401
from ..fluid.layers import tan # noqa: F401
from ..fluid.layers import sinh # noqa: F401
from ..fluid.layers import cosh # noqa: F401
from ..fluid.layers import exp # noqa: F401
from ..fluid.layers import floor # noqa: F401
from ..fluid.layers import log # noqa: F401
from ..fluid.layers import reciprocal # noqa: F401
from ..fluid.layers import round # noqa: F401
from ..fluid.layers import rsqrt # noqa: F401
from ..fluid.layers import scale # noqa: F401
from ..fluid.layers import square # noqa: F401
from ..fluid.layers import stanh # noqa: F401
from ..fluid.layers import atan # noqa: F401
from ..fluid.layers import erf # noqa: F401
from ..fluid.layers import sqrt # noqa: F401
from ..fluid.layers import sin # noqa: F401
from ..fluid.layers import multiplex # noqa: F401
from ..fluid import layers
__all__ = [
'abs',
'acos',
'all',
'any',
'asin',
'atan',
'ceil',
'cos',
'cosh',
'cumsum',
'exp',
'floor',
'increment',
'log',
'log2',
'log10',
'logsumexp',
'mul',
'multiplex',
'pow',
'prod',
'reciprocal',
'round',
'rsqrt',
'scale',
'sign',
'sin',
'sinh',
'sqrt',
'square',
'stanh',
'sum',
'tanh',
'tanh_',
'add_n',
'max',
'maximum',
'min',
'minimum',
'mm',
'divide',
'floor_divide',
'remainder',
'mod',
'floor_mod',
'multiply',
'add',
'subtract',
'atan',
'logsumexp',
'inverse',
'log1p',
'erf',
'addmm',
'clip',
'trace',
'kron',
'isfinite',
'isinf',
'isnan',
'broadcast_shape',
'conj'
]
# yapf: enable.
_supported_int_dtype_ = [
VarDesc.VarType.UINT8,
VarDesc.VarType.INT8,
......@@ -472,8 +399,8 @@ def remainder(x, y, name=None):
return _elementwise_op(LayerHelper(op_type, **locals()))
mod = remainder #DEFINE_ALIAS
floor_mod = remainder #DEFINE_ALIAS
mod = remainder # noqa: F841
floor_mod = remainder # noqa: F841
def multiply(x, y, name=None):
......
python/paddle/tensor/random.py
浏览文件 @ f1bc322c
......@@ -21,18 +21,6 @@ from ..fluid.data_feeder import check_variable_and_dtype, check_type, check_dtyp
from ..fluid.layers import utils
import paddle
__all__ = [
'bernoulli',
'multinomial',
'standard_normal',
'normal',
'uniform',
'randn',
'rand',
'randint',
'randperm',
]
def bernoulli(x, name=None):
"""
......
python/paddle/tensor/search.py
浏览文件 @ f1bc322c
......@@ -16,26 +16,15 @@ import numpy as np
from ..fluid.layer_helper import LayerHelper
from ..fluid.data_feeder import check_variable_and_dtype, check_type, check_dtype
from ..fluid import core, layers
from paddle.common_ops_import import in_dygraph_mode
from paddle.common_ops_import import convert_np_dtype_to_dtype_
from paddle.common_ops_import import Variable
from paddle.common_ops_import import VarDesc
# TODO: define searching & indexing functions of a tensor
# from ..fluid.layers import has_inf #DEFINE_ALIAS
# from ..fluid.layers import has_nan #DEFINE_ALIAS
__all__ = [
'argmax',
'argmin',
'argsort',
'masked_select',
'topk',
'where',
'index_select',
'nonzero',
'sort',
'index_sample',
]
from paddle.common_ops_import import *
def argsort(x, axis=-1, descending=False, name=None):
"""
......
python/paddle/tensor/stat.py
浏览文件 @ f1bc322c
......@@ -14,8 +14,6 @@
# TODO: define statistical functions of a tensor
__all__ = ['mean', 'std', 'var', 'numel', 'median']
import numpy as np
from ..fluid.framework import Variable
from ..fluid.layer_helper import LayerHelper
......
python/paddle/tensor/tensor.py
浏览文件 @ f1bc322c
......@@ -13,9 +13,3 @@
# limitations under the License.
# TODO: define the basic tensor classes
__all__ = [
# 'Tensor',
# 'LoDTensor',
# 'LoDTensorArray'
]
python/paddle/tensor/to_string.py
浏览文件 @ f1bc322c
......@@ -17,8 +17,6 @@ import numpy as np
from paddle.fluid.layers import core
from paddle.fluid.data_feeder import convert_dtype, check_variable_and_dtype, check_type, check_dtype
__all__ = ['set_printoptions']
class PrintOptions(object):
precision = 8
......
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