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 | |
|---|---|
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.
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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
  TensorFlow 1 version
    View source on GitHub