rank( input, name=None )
See the guide: Tensor Transformations > Shapes and Shaping
Returns the rank of a tensor.
This operation returns an integer representing the rank of
# '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."
name: A name for the operation (optional).
Tensor of type
Equivalent to np.ndim
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