code: def device_view(t):
      return cuda.DeviceView(
          ptr=t.data_ptr(),
          shape=t.shape,
          dtype=torch_to_numpy_dtype_dict[t.dtype],
      )
  
imports: from collections import OrderedDict
  from copy import copy
  import numpy
  import tensorrt
  import torch
  from polygraphy import cuda
  from polygraphy.backend.common import bytes_from_path
  from polygraphy.backend.trt import engine_from_bytes
  from polygraphy.backend.trt import util
label_desc: Use image node_id 1 for calling a global function with example usage: device_view(t) and returns: cuda