tf.debugging.assert_non_negative | TensorFlow v2.16.1 (original) (raw)
tf.debugging.assert_non_negative
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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 summarizeentries 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.functions to block followup computation until the check has executed. |
| Raises | |
|---|---|
| InvalidArgumentError | if the check can be performed immediately andx[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.