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
: AnOperation
that, when executed, raises atf.errors.InvalidArgumentError
ifcondition
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.