Source code for xorbits._mars.tensor.arithmetic.exp2
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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
@arithmetic_operand(sparse_mode="unary")
class TensorExp2(TensorUnaryOp):
_op_type_ = OperandDef.EXP2
_func_name = "exp2"
[docs]@infer_dtype(np.exp2)
def exp2(x, out=None, where=None, **kwargs):
"""
Calculate `2**p` for all `p` in the input tensor.
Parameters
----------
x : array_like
Input values.
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
-------
out : Tensor
Element-wise 2 to the power `x`.
See Also
--------
power
Examples
--------
>>> import mars.tensor as mt
>>> mt.exp2([2, 3]).execute()
array([ 4., 8.])
"""
op = TensorExp2(**kwargs)
return op(x, out=out, where=where)