tf.raw_ops.Rank
Returns the rank of a tensor.
tf.raw_ops.Rank( input, name=None )
This operation returns an integer representing the rank of input
.
For example:
# 't' is [[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]] # shape of tensor 't' is [2, 2, 3] rank(t) ==> 3
Note: The rank of a tensor is not the same as the rank of a matrix. The rank of a tensor is the number of indices required to uniquely select each element of the tensor. Rank is also known as "order", "degree", or "ndims."
Args | |
---|---|
input | A Tensor . |
name | A name for the operation (optional). |
Returns | |
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A Tensor of type int32 . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/Rank