tf.compat.v1.assert_rank_at_least | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.assert_rank_at_least
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Assert x has rank equal to rank or higher.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.debugging.assert_rank_at_least
tf.compat.v1.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. |
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Last updated 2024-04-26 UTC.