tf.debugging.Assert

Assert the condition x == y holds element-wise.

View aliases

Main aliases

tf.assert_equal

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

Used in the notebooks

Used in the guide	Used in the tutorials
Eager execution	Bayesian Modeling with Joint Distribution TensorFlow Probability Case Study: Covariance Estimation

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 x and y are not 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`.
`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_equal".

Returns
Op that raises `InvalidArgumentError` if `x == y` is 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. The check can be performed immediately during eager execution or if `x` and `y` are statically known.

Eager Compatibility

returns None

TensorFlow

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tf.debugging / Assert

View aliases

Used in the notebooks

Args

Returns

Raises

Eager Compatibility