Converts an array of flat indices into a tuple of coordinate arrays.
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]]
Public Methods
Output <T> |
asOutput
()
Returns the symbolic handle of a tensor.
|
static <T extends Number> UnravelIndex <T> | |
Output <T> |
output
()
An 2-D (or 1-D if indices is 0-D) tensor where each row has the
same shape as the indices array.
|
Inherited Methods
Public Methods
public Output <T> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static UnravelIndex <T> create ( Scope scope, Operand <T> indices, Operand <T> dims)
Factory method to create a class wrapping a new UnravelIndex operation.
Parameters
scope | current scope |
---|---|
indices | An 0-D or 1-D `int` Tensor whose elements are indices into the flattened version of an array of dimensions dims. |
dims | An 1-D `int` Tensor. The shape of the array to use for unraveling indices. |
Returns
- a new instance of UnravelIndex
public Output <T> output ()
An 2-D (or 1-D if indices is 0-D) tensor where each row has the same shape as the indices array.