Assert x has rank equal to rank.
tf.compat.v1.assert_rank(
x, rank, data=None, summarize=None, message=None, name=None
)
Example of adding a dependency to an operation:
with tf.control_dependencies([tf.compat.v1.assert_rank(x, 2)]): output = tf.reduce_sum(x)
| Args | |
|---|---|
x | Numeric Tensor. |
rank | Scalar integer Tensor. |
data | The tensors to print out if the condition is False. Defaults to error message and the shape 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_rank". |
| Returns | |
|---|---|
Op raising InvalidArgumentError unless x has specified rank. If static checks determine x has correct rank, a no_op is returned. |
| Raises | |
|---|---|
ValueError | If static checks determine x has wrong rank. |
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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_rank