code: def __init__(self):
      super().__init__()
      self.conversion_op = PytorchConverter()
  
file_path: nebuly/optimization/nebullvm/nebullvm/operations/optimizations/compilers/deepsparse.py
imports: from pathlib import Path
  from typing import Union
  from nebullvm.core.models import ModelParams, QuantizationType
  from nebullvm.operations.conversions.converters import PytorchConverter
  from nebullvm.operations.optimizations.compilers.base import Compiler
  from nebullvm.optional_modules.torch import Module, GraphModule
  from nebullvm.tools.data import DataManager
label_desc: Use image node_id 1 to create a new DeepSparseCompiler object from inherited base classes: Compiler with example: obj = DeepSparseCompiler()