tf.math.truediv
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Divides x / y elementwise (using Python 3 division operator semantics).
tf.math.truediv(
x, y, name=None
)
Note: Prefer using the Tensor operator or tf.divide which obey Python
division operator semantics.
This function forces Python 3 division operator semantics where all integer
arguments are cast to floating types first. This op is generated by normal
x / y
division in Python 3 and in Python 2.7 with
from __future__ import division
. If you want integer division that rounds
down, use x // y
or tf.math.floordiv
.
x
and y
must have the same numeric type. If the inputs are floating
point, the output will have the same type. If the inputs are integral, the
inputs are cast to float32
for int8
and int16
and float64
for int32
and int64
(matching the behavior of Numpy).
Args
x
Tensor
numerator of numeric type.
y
Tensor
denominator of numeric type.
name
A name for the operation (optional).
Returns
x / y
evaluated in floating point.
Raises
TypeError
If x
and y
have different dtypes.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
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