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Assert the condition x <= y
holds element-wise.
tf.debugging.assert_less_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
<= 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_less_equal(tf.size(x), 3,
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