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Assert the condition x != y
holds element-wise.
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 x
!= y
does not hold, message
, as well as the first summarize
entries of x
and y
are printed, and InvalidArgumentError
is raised.
When using inside tf.function
, this API takes effects during execution. It's recommended to use this API with tf.control_dependencies
to ensure the correct execution order.
In the following example, without tf.control_dependencies
, errors may not be raised at all. Check tf.control_dependencies
for more details.
def check_size(x):
with tf.control_dependencies([
tf.debugging.assert_none_equal(tf.size(x), 6,
message='Bad tensor size')]):
return x
check_size(tf.ones([2, 3], tf.float32))
Traceback (most recent call last):
InvalidArgumentError: ...
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