/TensorFlow 1.15


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Asserts that the given condition is true.

If condition evaluates to false, print the list of tensors in data. summarize determines how many entries of the tensors to print.

Note: In graph mode, to ensure that Assert executes, one usually attaches a dependency:
# Ensure maximum element of x is smaller or equal to 1
assert_op = tf.Assert(tf.less_equal(tf.reduce_max(x), 1.), [x])
with tf.control_dependencies([assert_op]):
  ... code using x ...
condition The condition to evaluate.
data The tensors to print out when condition is false.
summarize Print this many entries of each tensor.
name A name for this operation (optional).
assert_op An Operation that, when executed, raises a tf.errors.InvalidArgumentError if condition is not true.
Note: The output of this function should be used. If it is not, a warning will be logged. To mark the output as used, call its .mark_used() method.

Eager Compatibility

tf.errors.InvalidArgumentError if condition is not true

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Code samples licensed under the Apache 2.0 License.