tf.compat.v1.assert_equal

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

tf.compat.v1.assert_equal(
    x, y, data=None, summarize=None, message=None, name=None
)

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_equal(x, y)]):
  output = tf.reduce_sum(x)

Args:

• 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_equal".

Returns:

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

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