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> | |
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