tf.Assert
tf.Assert
tf.Assert
Assert( condition, data, summarize=None, name=None )
Defined in tensorflow/python/ops/control_flow_ops.py
.
See the guide: Control Flow > Debugging Operations
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: 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
: AnOperation
that, when executed, raises atf.errors.InvalidArgumentError
ifcondition
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.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/Assert