Source code for mars.tensor.arithmetic.not_equal

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2021 Alibaba Group Holding Ltd.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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# distributed under the License is distributed on an "AS IS" BASIS,
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import numpy as np

from ... import opcodes as OperandDef
from ..utils import inject_dtype
from .core import TensorBinOp
from .utils import arithmetic_operand

class TensorNotEqual(TensorBinOp):
    _op_type_ = OperandDef.NE
    _func_name = "not_equal"

[docs]@inject_dtype(np.bool_) def not_equal(x1, x2, out=None, where=None, **kwargs): """ Return (x1 != x2) element-wise. Parameters ---------- x1, x2 : array_like Input tensors. out : Tensor, None, or tuple of Tensor and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or `None`, a freshly-allocated tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs Returns ------- not_equal : tensor bool, scalar bool For each element in `x1, x2`, return True if `x1` is not equal to `x2` and False otherwise. See Also -------- equal, greater, greater_equal, less, less_equal Examples -------- >>> import mars.tensor as mt >>> mt.not_equal([1.,2.], [1., 3.]).execute() array([False, True]) >>> mt.not_equal([1, 2], [[1, 3],[1, 4]]).execute() array([[False, True], [False, True]]) """ op = TensorNotEqual(**kwargs) return op(x1, x2, out=out, where=where)