tf.compat.v1.assert_rank

Assert x has rank in ranks.

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Compat aliases for migration

tf.compat.v1.debugging.assert_rank_in

tf.compat.v1.assert_rank_in(
    x, ranks, 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_in(x, (2, 4))]):
  output = tf.reduce_sum(x)

Args
`x`	Numeric `Tensor`.
`ranks`	Iterable of scalar `Tensor` objects.
`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_in".

Returns
Op raising `InvalidArgumentError` unless rank of `x` is in `ranks`. If static checks determine `x` has matching rank, a `no_op` is returned.

Raises
`ValueError`	If static checks determine `x` has mismatched rank.

TensorFlow

tf.compat / v1 / v1.assert_rank_in

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tf.compat / v1 / v1.assert_rank_in

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