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tf.debugging.assert_none_equal

TensorFlow 2 version View source on GitHub

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

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

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.compat.v1.assert_none_equal(x, y)]):
  output = tf.reduce_sum(x)

x Numeric Tensor.
y Numeric Tensor, same dtype as and broadcastable to x.
data The tensors to print out if the condition is False. Defaults to error message and first few entries of x, y.
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".

Op that raises InvalidArgumentError if x != y is False.

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