tf.debugging.Assert

Asserts that the given condition is true.

View aliases

Main aliases

tf.Assert

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.Assert, tf.compat.v1.debugging.Assert

tf.debugging.Assert(
    condition, data, summarize=None, name=None
)

Used in the notebooks

Used in the tutorials
Client-efficient large-model federated learning via `federated_select` and sparse aggregation

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