tf.debugging.assert_non_negative

Assert the condition x >= 0 holds element-wise.

Main aliases

`tf.assert_non_negative`

Compat aliases for migration

See Migration guide for more details.

tf.debugging.assert_non_negative(
    x, data=None, summarize=None, message=None, name=None
)

When running in graph mode, you should add a dependency on this operation to ensure that it runs. Example of adding a dependency to an operation:

with tf.control_dependencies([tf.debugging.assert_non_negative(x, y)]):
  output = tf.reduce_sum(x)

Non-negative means, for every element x[i] of x, we have x[i] >= 0. If x is empty this is trivially satisfied.

Args
`x`	Numeric `Tensor`.
`data`	The tensors to print out if the condition is False. Defaults to error message and first few entries of `x`.
`summarize`	Print this many entries of each tensor.
`message`	A string to prefix to the default message.
`name`	A name for this operation (optional). Defaults to "assert_non_negative".

Returns
Op that raises `InvalidArgumentError` if `x >= 0` is False.

Raises
`InvalidArgumentError`	if the check can be performed immediately and `x >= 0` is False. The check can be performed immediately during eager execution or if `x` is statically known.

returns None

Args