tf.debugging.assert_non_negative

TensorFlow 1 version View source on GitHub

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.

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

Compat aliases