TensorFlow 1 version | View source on GitHub |
Assert that x
has a rank in ranks
.
tf.debugging.assert_rank_in(
x, ranks, message=None, name=None
)
This Op checks that the rank of x
is in ranks
.
If x
has a different rank, message
, as well as the shape of x
are
printed, and InvalidArgumentError
is raised.
Args | |
---|---|
x
|
Tensor .
|
ranks
|
Iterable of scalar Tensor objects.
|
message
|
A string to prefix to the default message. |
name
|
A name for this operation (optional). Defaults to "assert_rank_in". |
Returns | |
---|---|
Op raising InvalidArgumentError unless rank of x is in ranks .
If static checks determine x has matching 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 in ranks , but the rank cannot
be statically determined.
|
ValueError
|
If static checks determine x has mismatched rank.
|
Eager Compatibility
returns None