tf.debugging.assert_non_positive
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Assert the condition x <= 0
holds element-wise.
tf.debugging.assert_non_positive( x, message=None, summarize=None, name=None )
This Op checks that x[i] <= 0
holds for every element of x
. If x
is empty, this is trivially satisfied.
If x
is not <= 0 everywhere, message
, as well as the first summarize
entries of x
are printed, and InvalidArgumentError
is raised.
Args | |
---|---|
x | Numeric Tensor . |
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_non_positive". |
Returns | |
---|---|
Op raising InvalidArgumentError unless x is all non-positive. 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[i] <= 0 is False. The check can be performed immediately during eager execution or if x is 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_non_positive