tf.debugging.Assert

Aliases:

• tf.Assert
• tf.debugging.Assert

tf.debugging.Assert(
    condition,
    data,
    summarize=None,
    name=None
)

Defined in tensorflow/python/ops/control_flow_ops.py.

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 ...

Args:

• 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).

Returns:

• assert_op: An Operation that, when executed, raises a tf.errors.InvalidArgumentError if condition is not true. @compatibility{eager} returns None.

Raises:

@compatibility{eager} 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.