View source on GitHub |
Asserts that the given condition is true.
tf.debugging.Assert( condition, data, summarize=None, name=None ) Used in the notebooks
| Used in the tutorials |
|---|
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 |
|---|
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
View source on GitHub