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# UnravelIndex

public final class UnravelIndex

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 asOutput() Returns the symbolic handle of a tensor. static UnravelIndex create(Scope scope, Operand indices, Operand dims) Factory method to create a class wrapping a new UnravelIndex operation. Output output() An 2-D (or 1-D if indices is 0-D) tensor where each row has the same shape as the indices array.

## 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 An 0-D or 1-D `int` Tensor whose elements are indices into the flattened version of an array of dimensions 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.

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