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Returns the rank of a tensor.
Compat aliases for migration
See Migration guide for more details.
tf.rank( input, name=None )
Returns a 0-D
Tensor representing the rank of
# shape of tensor 't' is [2, 2, 3] t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]]) tf.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."
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| ||A name for the operation (optional).|
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Equivalent to np.ndim
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