tf.debugging.assert_negative
Assert the condition x < 0 holds element-wise.
tf.debugging.assert_negative(
x, data=None, summarize=None, message=None, name=None
)
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.debugging.assert_negative(x, y)]):
output = tf.reduce_sum(x)
Negative means, for every element x[i] of x, we have x[i] < 0. If x is empty this is trivially satisfied.
| Args | |
|---|---|
x |
Numeric Tensor. |
data |
The tensors to print out if the condition is False. Defaults to error message and first few entries of x. |
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_negative". |
| Returns | |
|---|---|
Op that raises InvalidArgumentError if x < 0 is False. |
| Raises | |
|---|---|
InvalidArgumentError |
if the check can be performed immediately and x < 0 is False. The check can be performed immediately during eager execution or if x is 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/r1.15/api_docs/python/tf/debugging/assert_negative