tf.math.divide_no_nan
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Computes a safe divide which returns 0 if y
(denominator) is zero.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.div_no_nan
, tf.compat.v1.math.divide_no_nan
tf.math.divide_no_nan(
x, y, name=None
)
For example:
tf.constant(3.0) / 0.0
<tf.Tensor: shape=(), dtype=float32, numpy=inf>
tf.math.divide_no_nan(3.0, 0.0)
<tf.Tensor: shape=(), dtype=float32, numpy=0.0>
Args |
x
|
A Tensor . Must be one of the following types: float32 , float64 .
|
y
|
A Tensor whose dtype is compatible with x .
|
name
|
A name for the operation (optional).
|
Returns |
The element-wise value of the x divided by y.
|
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. Some content is licensed under the numpy license.
Last updated 2021-05-14 UTC.
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