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.functions 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
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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