Assert the condition x < 0 holds element-wise.
tf.compat.v1.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 InvalidArgumentErrorifx < 0is False. | 
| Raises | |
|---|---|
| InvalidArgumentError | if the check can be performed immediately and x < 0is False. The check can be performed immediately during eager execution or ifxis statically known. | 
eager compatibility
returns None
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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/compat/v1/assert_negative