tf.debugging.assert_non_negative

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
`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_negative".

Returns
Op raising `InvalidArgumentError` unless `x` is all non-negative. 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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Last updated 2024-04-26 UTC.