Converts an array of flat indices into a tuple of coordinate arrays.
tf.raw_ops.UnravelIndex(
indices, dims, name=None
)
Example:
y = tf.unravel_index(indices=[2, 5, 7], dims=[3, 3])
# 'dims' represent a hypothetical (3, 3) tensor of indices:
# [[0, 1, *2*],
# [3, 4, *5*],
# [6, *7*, 8]]
# For each entry from 'indices', this operation returns
# its coordinates (marked with '*'), such as
# 2 ==> (0, 2)
# 5 ==> (1, 2)
# 7 ==> (2, 1)
y ==> [[0, 1, 2], [2, 2, 1]]
Args | |
|---|---|
indices
|
A Tensor. Must be one of the following types: int32, int64.
An 0-D or 1-D int Tensor whose elements are indices into the
flattened version of an array of dimensions dims.
|
dims
|
A Tensor. Must have the same type as indices.
An 1-D int Tensor. The shape of the array to use for unraveling
indices.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as indices.
|
numpy compatibility
Equivalent to np.unravel_index