tf.debugging.assert_equal
View source on GitHub |
Assert the condition x == y
holds element-wise.
tf.debugging.assert_equal( x, y, message=None, summarize=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 x
and y
are not 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 . |
message | A string to prefix to the default message. |
summarize | Print this many entries of each tensor. |
name | A name for this operation (optional). Defaults to "assert_equal". |
Returns | |
---|---|
Op that raises InvalidArgumentError if x == y is 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. 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_equal