Return a slice from 'input'.
tf.raw_ops.Slice(
input, begin, size, name=None
)
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)
Args | |
|---|---|
input
|
A Tensor.
|
begin
|
A Tensor. Must be one of the following types: int32, int64.
begin[i] specifies the offset into the 'i'th dimension of
'input' to slice from.
|
size
|
A Tensor. Must have the same type as begin.
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]).
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as input.
|