tf.debugging.assert

Assert the condition x != y holds for all elements.

tf.debugging.assert_none_equal(
    x, y, summarize=None, message=None, name=None
)

This Op checks that x[i] != y[i] holds for every pair of (possibly broadcast) elements of x and y. If both x and y are empty, this is trivially satisfied.

If any elements of x and y are equal, message, as well as the first summarize entries of x and y are printed, and InvalidArgumentError is raised.

Args
`x`	Numeric `Tensor`.
`y`	Numeric `Tensor`, same dtype as and broadcastable to `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_none_equal".

Returns
Op that raises `InvalidArgumentError` if `x != y` is ever False. 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 != y` is False for any pair of elements in `x` and `y`. The check can be performed immediately during eager execution or if `x` and `y` are statically known.

Eager Compatibility

returns None

TensorFlow

tf.debugging / assert_near

Args

Returns

Raises

Eager Compatibility

TensorFlow

tf

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tf.debugging / assert_near

Args

Returns

Raises

Eager Compatibility