code: def infer(self, feed_dict):
      stream = self.stream
      start_binding, end_binding = trt_util.get_active_profile_bindings(
          self.context
      )
      # shallow copy of ordered dict
      device_buffers = copy(self.buffers)
      for name, buf in feed_dict.items():
          assert isinstance(buf, cuda.DeviceView)
          device_buffers[name] = buf
      bindings = [0] * start_binding + [
          buf.ptr for buf in device_buffers.values()
      ]
      noerror = self.context.execute_async_v2(
          bindings=bindings, stream_handle=stream.ptr
      )
      if not noerror:
          raise ValueError(f"ERROR: inference failed.")
  
      return self.tensors
  
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 7 for calling the Engine obj's underlying member method code with example usage: obj.infer(feed_dict) and returns: self