code: def _compile_model(
      self,
      model: torch.nn.Module,
      input_data: DataManager,
      quantization_type: QuantizationType,
  ) -> torch.nn.Module:
      compiled_model = model.to(self.device.to_torch_format())
      return compiled_model
  
imports: from nebullvm.core.models import QuantizationType
  from nebullvm.operations.optimizations.compilers.torchscript import TorchScriptCompiler
  from nebullvm.optional_modules.torch import torch
  from nebullvm.tools.data import DataManager
label_desc: Use image node_id 1 for calling the TorchXLACompiler obj's underlying member method code with example usage: obj._compile_model(model, input_data, quantization_type) and returns: compiled_model