code: def print_layer_precisions(network):
      print("The layer precisions and dynamic ranges are:")
      for layer_idx in range(network.num_layers):
          layer = network.get_layer(layer_idx)
          out = layer.get_output(0)
          print(layer.name, layer.precision, out.dynamic_range)
  
imports: import time
  import logging
  import tensorrt
  import numpy
  import torch
  from .None import frontend_to_onnx
  from .None import trt_pycuda
  from .backend import BaseModelSpeedup
label_desc: Use image node_id 2 for calling a global function with example usage: print_layer_precisions(network) without return types