tf.assert_equal()

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

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

Example of adding a dependency to an operation:

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

Example of adding dependency to the tensor being checked:

x = tf.with_dependencies([tf.assert_equal(x, y)], x)

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.

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.

doc_TensorFlow
2016-10-14 12:42:44
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