tf.debugging.Assert | TensorFlow v2.16.1 (original) (raw)
tf.debugging.Assert
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Asserts that the given condition is true.
View aliases
Main aliases
Compat aliases for migration
SeeMigration 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 atf.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