Source code for mars.tensor.arithmetic.conj

#!/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 infer_dtype
from .core import TensorUnaryOp
from .utils import arithmetic_operand

class TensorConj(TensorUnaryOp):
    _op_type_ = OperandDef.CONJ
    _func_name = "conj"

[docs]@infer_dtype(np.conj) def conj(x, out=None, where=None, **kwargs): """ Return the complex conjugate, element-wise. The complex conjugate of a complex number is obtained by changing the sign of its imaginary part. Parameters ---------- x : array_like Input value. 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 ------- y : Tensor The complex conjugate of `x`, with same dtype as `y`. Examples -------- >>> import mars.tensor as mt >>> mt.conjugate(1+2j).execute() (1-2j) >>> x = mt.eye(2) + 1j * mt.eye(2) >>> mt.conjugate(x).execute() array([[ 1.-1.j, 0.-0.j], [ 0.-0.j, 1.-1.j]]) """ op = TensorConj(**kwargs) return op(x, out=out, where=where)
conjugate = conj