code: def int4x2to2xint4(int4X2tensor):
      high = int4X2tensor >> 4
      low = (int4X2tensor << 4) >> 4
      return torch.stack((high, low), dim=-1).flatten()
  
file_path: DeepSpeed/tests/unit/ops/quantizer/test_quantize.py
imports: import pytest
  import torch
  import deepspeed
  from deepspeed.ops.op_builder import QuantizerBuilder
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 5 for calling a global function with example usage: int4x2to2xint4(int4X2tensor) and returns: torch