TensorFlow 1 version | View source on GitHub |
Assert that x
has rank of at least rank
.
tf.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.function s
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