T
- data type for output()
output@Operator public final class UnravelIndex<T extends Number> extends PrimitiveOp implements Operand<T>
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]]
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T extends Number> |
create(Scope scope,
Operand<T> indices,
Operand<T> dims)
Factory method to create a class wrapping a new UnravelIndex operation.
|
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.
|
equals, hashCode, op, toString
public static <T extends Number> UnravelIndex<T> create(Scope scope, Operand<T> indices, Operand<T> dims)
scope
- current scopeindices
- 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.public Output<T> output()
public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T extends Number>
OperationBuilder.addInput(Output)
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