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tf.debugging.assert_rank_at_least

TensorFlow 1 version View source on GitHub

Assert that x has rank of at least rank.

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.

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".

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.functions to block followup computation until the check has executed.

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