tf.compat.v1.div
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Divides x / y elementwise (using Python 2 division operator semantics). (deprecated)
tf.compat.v1.div(
x, y, name=None
)
Caution: This API was designed for TensorFlow v1.
Continue reading for details on how to migrate from this API to a native
TensorFlow v2 equivalent. See the
TensorFlow v1 to TensorFlow v2 migration guide
for instructions on how to migrate the rest of your code.
This function is deprecated in TF2. Prefer using the Tensor division operator,
tf.divide
, or tf.math.divide
, which obey the Python 3 division operator
semantics.
Description
Deprecated: THIS FUNCTION IS DEPRECATED. It will be removed in a future version.
Instructions for updating:
Deprecated in favor of operator or tf.math.divide.
This function divides x
and y
, forcing Python 2 semantics. That is, if x
and y
are both integers then the result will be an integer. This is in
contrast to Python 3, where division with /
is always a float while division
with //
is always an integer.
Args
x
Tensor
numerator of real numeric type.
y
Tensor
denominator of real numeric type.
name
A name for the operation (optional).
Returns
x / y
returns the quotient of x and 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 2023-10-06 UTC.
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