tf.debugging.assert_less_equal
Assert the condition x <= y holds element-wise.
tf.debugging.assert_less_equal(
x, y, message=None, summarize=None, name=None
)
This Op checks that x[i] <= y[i] holds for every pair of (possibly broadcast) elements of x and y. If both x and y are empty, this is trivially satisfied.
If x is not less or equal than y element-wise, message, as well as the first summarize entries of x and y are printed, and InvalidArgumentError is raised.
| Args | |
|---|---|
x |
Numeric Tensor. |
y |
Numeric Tensor, same dtype as and broadcastable to x. |
message |
A string to prefix to the default message. |
summarize |
Print this many entries of each tensor. |
name |
A name for this operation (optional). Defaults to "assert_less_equal". |
| Returns | |
|---|---|
Op that raises InvalidArgumentError if x <= y is False. This can be used with tf.control_dependencies inside of tf.functions to block followup computation until the check has executed. |
| Raises | |
|---|---|
InvalidArgumentError |
if the check can be performed immediately and x <= y is False. The check can be performed immediately during eager execution or if x and y are statically known. |
eager compatibility
returns None
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/debugging/assert_less_equal