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tf.debugging.assert_rank_at_least

TensorFlow 2 version View source on GitHub

Assert x has rank equal to rank or higher.

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)

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".

Op raising InvalidArgumentError unless x has specified rank or higher. If static checks determine x has correct rank, a no_op is returned.

ValueError If static checks determine x has wrong rank.