# Copyright 2020-2021 Huawei Technologies Co., Ltd # # 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. # ============================================================================ """ Numpy-like interfaces in mindspore. Examples: >>> import mindspore.numpy as np Note: - array_ops.py defines all the array operation interfaces. - array_creations.py defines all the array generation interfaces. - math_ops.py defines all the math operations on tensors. - logic_ops.py defines all the logical operations on tensors. - dtypes.py defines all the mindspore.numpy dtypes (mainly redirected from mindspore) """ from .array_ops import (transpose, expand_dims, squeeze, rollaxis, swapaxes, reshape, ravel, concatenate, where, atleast_1d, atleast_2d, atleast_3d, column_stack, hstack, dstack, vstack, stack, unique, moveaxis, tile, broadcast_to, broadcast_arrays, roll, append, split, vsplit, flip, flipud, fliplr, hsplit, dsplit, take_along_axis, take, repeat) from .array_creations import copy_ as copy from .array_creations import (array, asarray, asfarray, ones, zeros, full, arange, linspace, logspace, eye, identity, empty, empty_like, ones_like, zeros_like, full_like, diagonal, tril, triu, tri, trace, meshgrid, mgrid, ogrid, diagflat, diag, diag_indices, ix_) from .dtypes import (int_, int8, int16, int32, int64, uint, uint8, uint16, uint32, uint64, float_, float16, float32, float64, bool_, inf, nan, numeric_types, PINF, NINF) from .math_ops import (mean, inner, add, subtract, multiply, divide, true_divide, power, dot, outer, tensordot, absolute, std, var, average, minimum, matmul, square, sqrt, reciprocal, log, maximum, heaviside, amax, amin, hypot, float_power, floor, ptp, deg2rad, rad2deg, count_nonzero, positive, negative, clip, floor_divide, remainder, fix, fmod, trunc, exp, expm1, cumsum) from .logic_ops import (not_equal, less_equal, less, greater_equal, greater, equal, isfinite, isnan, isinf, isposinf, isneginf, isscalar) mod = remainder fabs = absolute array_ops_module = ['transpose', 'expand_dims', 'squeeze', 'rollaxis', 'swapaxes', 'reshape', 'ravel', 'concatenate', 'where', 'atleast_1d', 'atleast_2d', 'atleast_3d', 'column_stack', 'hstack', 'dstack', 'vstack', 'stack', 'unique', 'moveaxis', 'tile', 'broadcast_to', 'broadcast_arrays', 'append', 'roll', 'split', 'vsplit', 'flip', 'flipud', 'fliplr', 'hsplit', 'dsplit', 'take_along_axis', 'take', 'repeat'] array_creations_module = ['array', 'asarray', 'asfarray', 'ones', 'zeros', 'full', 'arange', 'linspace', 'logspace', 'eye', 'identity', 'empty', 'empty_like', 'ones_like', 'zeros_like', 'full_like', 'diagonal', 'tril', 'triu', 'tri', 'trace', 'meshgrid', 'mgrid', 'ogrid', 'diagflat', 'diag', 'diag_indices', 'ix_', 'cumsum'] math_module = ['mean', 'inner', 'add', 'subtract', 'multiply', 'divide', 'true_divide', 'power', 'dot', 'outer', 'tensordot', 'absolute', 'std', 'var', 'average', 'not_equal', 'minimum', 'matmul', 'square', 'sqrt', 'reciprocal', 'log', 'maximum', 'heaviside', 'amax', 'amin', 'hypot', 'float_power', 'floor', 'ptp', 'deg2rad', 'rad2deg', 'count_nonzero', 'positive', 'negative', 'clip', 'floor_divide', 'remainder', 'mod', 'fix', 'fmod', 'trunc', 'exp', 'expm1', 'fabs', 'cumsum'] logic_module = ['not_equal', 'less_equal', 'less', 'greater_equal', 'greater', 'equal', 'isfinite', 'isnan', 'isinf', 'isposinf', 'isneginf', 'isscalar'] __all__ = array_ops_module + array_creations_module + math_module + logic_module + numeric_types __all__.sort()