docstr: Create a Intel Neural Compressor Quantization object for ONNXRuntime in Pytorch.
code: def __init__(self, framework="onnxrt_qlinear", **kwargs):
      """
      Create a Intel Neural Compressor Quantization object for ONNXRuntime in Pytorch.
      """
      kwargs["framework"] = framework
      self.session_options = kwargs.pop(
          "onnxruntime_session_options", None
      )
      super().__init__(**kwargs)
      self._inc_metric_cls = PytorchONNXRuntimeINCMetic
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/onnx/pytorch/quantization.py
imports: from copy import deepcopy
  from bigdl.nano.deps.onnxruntime.pytorch.pytorch_onnxruntime_model import PytorchONNXRuntimeModel
  from ..quantization import BaseONNXRuntimeQuantization
  from ...pytorch import PytorchQuantization
  from .metric import PytorchONNXRuntimeINCMetic
  import torch
label_desc: Use image node_id 1 to create a new PytorchONNXRuntimeQuantization object from inherited base classes: BaseONNXRuntimeQuantization, PytorchQuantization with example: obj = PytorchONNXRuntimeQuantization(framework)