tf.compat.v1.assert_less_equal
Assert the condition x <= y holds element-wise.
tf.compat.v1.assert_less_equal(
x, y, data=None, summarize=None, message=None, name=None
)
This condition holds if for every pair of (possibly broadcast) elements x[i], y[i], we have x[i] <= y[i]. If both x and y are empty, this is trivially satisfied.
When running in graph mode, you should add a dependency on this operation to ensure that it runs. Example of adding a dependency to an operation:
with tf.control_dependencies([tf.compat.v1.assert_less_equal(x, y)]):
output = tf.reduce_sum(x)
| Args | |
|---|---|
x |
Numeric Tensor. |
y |
Numeric Tensor, same dtype as and broadcastable to x. |
data |
The tensors to print out if the condition is False. Defaults to error message and first few entries of x, y. |
summarize |
Print this many entries of each tensor. |
message |
A string to prefix to the default message. |
name |
A name for this operation (optional). Defaults to "assert_less_equal". |
| Returns | |
|---|---|
Op that raises InvalidArgumentError if x <= y is False. |
| 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
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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/compat/v1/assert_less_equal