tf.debugging.Assert
Asserts that the given condition is true.
tf.debugging.Assert(
condition, data, summarize=None, name=None
)
If condition evaluates to false, print the list of tensors in data. summarize determines how many entries of the tensors to print.
| 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. |
| Raises |
|---|
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.
Tf1 Compatibility
When in TF V1 mode (that is, outside tf.function) Assert needs a control dependency on the output to ensure the assertion executes:
# 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 ...
Eager Compatibility
returns None
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/debugging/Assert