tf.compat.v2.debugging.assert_rank_at_least
Assert that x has rank of at least rank.
tf.compat.v2.debugging.assert_rank_at_least(
x, rank, message=None, name=None
)
This Op checks that the rank of x is greater or equal to rank.
If x has a rank lower than rank, message, as well as the shape of x are printed, and InvalidArgumentError is raised.
| Args | |
|---|---|
x |
Tensor. |
rank |
Scalar integer Tensor. |
message |
A string to prefix to the default message. |
name |
A name for this operation (optional). Defaults to "assert_rank_at_least". |
| Returns | |
|---|---|
Op raising InvalidArgumentError unless x has specified rank or higher. If static checks determine x has correct rank, a no_op is returned. This can be used with tf.control_dependencies inside of tf.functions to block followup computation until the check has executed. |
| Raises | |
|---|---|
InvalidArgumentError |
x does not have rank at least rank, but the rank cannot be statically determined. |
ValueError |
If static checks determine x has mismatched rank. |
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/compat/v2/debugging/assert_rank_at_least