tf.debugging.assert_rank_at_least
Assert x has rank equal to rank or higher.
tf.debugging.assert_rank_at_least(
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_at_least(x, 2)]):
output = tf.reduce_sum(x)
| Args |
|---|
x | Numeric Tensor. |
rank | Scalar 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_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. |
| Raises |
|---|
ValueError | If static checks determine x has wrong rank. |