code: def slice_f(input, item):
      evaluator = input.evaluator
      stride = input.shape[1]
      start = stride * item
      data = evaluator.slice(input._data, start, stride)
      device = input.device
      return PHETensor(
          input.pk,
          evaluator,
          input.coder,
          torch.Size([*input.shape[1:]]),
          data,
          input.dtype,
          device,
      )
  
file_path: FATE/python/fate/arch/tensor/phe/_ops.py
imports: import torch
  from fate.arch.tensor import _custom_ops
  from ._tensor import PHETensor, implements, implements_encoded
label_desc: Use image node_id 13 for calling a global function with example usage: slice_f(input, item) and returns: PHETensor