Return a slice from 'input'.
Compat aliases for migration
See Migration guide for more details.
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)
Tensor. Must be one of the following types:
int64. begin[i] specifies the offset into the 'i'th dimension of 'input' to slice from.
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).
Tensor. Has the same type as