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Slice

public final class Slice

Return a slice from 'input'.

The output tensor is a tensor with dimensions described by 'size' whose values are extracted from 'input' starting at the offsets in 'begin'.

Requirements: 0 <= begin[i] <= begin[i] + size[i] <= Di for i in [0, n)

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T, U extends Number> Slice<T>
create(Scope scope, Operand<T> input, Operand<U> begin, Operand<U> size)
Factory method to create a class wrapping a new Slice operation.
Output<T>
output()

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 Slice<T> create (Scope scope, Operand<T> input, Operand<U> begin, Operand<U> size)

Factory method to create a class wrapping a new Slice operation.

Parameters
scope current scope
begin begin[i] specifies the offset into the 'i'th dimension of 'input' to slice from.
size size[i] specifies the number of elements of the 'i'th dimension of 'input' to slice. If size[i] is -1, all remaining elements in dimension i are included in the slice (i.e. this is equivalent to setting size[i] = input.dim_size(i) - begin[i]).
Returns
  • a new instance of Slice

public Output<T> output ()