tf.debugging.assert_none_equal
View source on GitHub |
Assert the condition x != y
holds for all elements.
tf.debugging.assert_none_equal( x, y, summarize=None, message=None, name=None )
This Op checks that x[i] != y[i]
holds for every pair of (possibly broadcast) elements of x
and y
. If both x
and y
are empty, this is trivially satisfied.
If any elements of x
and y
are equal, message
, as well as the first summarize
entries of x
and y
are printed, and InvalidArgumentError
is raised.
Args | |
---|---|
x | Numeric Tensor . |
y | Numeric Tensor , same dtype as and broadcastable to x . |
summarize | Print this many entries of each tensor. |
message | A string to prefix to the default message. |
name | A name for this operation (optional). Defaults to "assert_none_equal". |
Returns | |
---|---|
Op that raises InvalidArgumentError if x != y is ever False. This can be used with tf.control_dependencies inside of tf.function s to block followup computation until the check has executed. |
Raises | |
---|---|
InvalidArgumentError | if the check can be performed immediately and x != y is False for any pair of elements in x and y . The check can be performed immediately during eager execution or if x and y are statically known. |
Eager Compatibility
returns None
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/debugging/assert_none_equal