tf.raw_ops.Slice

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)

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).

A Tensor. Has the same type as input.