|TensorFlow 1 version||View source on GitHub|
Asserts that the given condition is true.
See Migration guide for more details.
tf.debugging.Assert( condition, data, summarize=None, name=None )
condition evaluates to false, print the list of tensors in
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).
Operationthat, when executed, raises a
conditionis not true.
NOTE The output of this function should be used. If it is not, a warning will be logged or an error may be raised. To mark the output as used, call its .mark_used() method.
condition is not true