TensorFlow 1 version
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View source on GitHub
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Assert the condition x >= 0 holds element-wise.
tf.debugging.assert_non_negative(
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 | |
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x
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Numeric Tensor.
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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_negative". |
Returns | |
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Op raising InvalidArgumentError unless x is all non-negative. This can
be used with tf.control_dependencies inside of tf.functions to block
followup computation until the check has executed.
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Raises | |
|---|---|
InvalidArgumentError
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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.
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eager compatibility
returns None