docstr: Create a Intel Neural Compressor Quantization object for Pytorch.
docstr_tok: ["Create","a","Intel","Neural","Compressor","Quantization","object","for","Pytorch","."]
code: def __init__(self, framework="tensorflow", **kwargs):
      """
      Create a Intel Neural Compressor Quantization object for Pytorch.
      """
      kwargs["framework"] = framework
      super().__init__(**kwargs)
      self._inc_metric_cls = TensorflowINCMetric
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/tensorflow/quantization.py
imports: from bigdl.nano.utils.common import invalidInputError
  from ..core import BaseQuantization
  from .metric import TensorflowINCMetric
  from .model import KerasQuantizedModel
  from .utils import Dataloader
  from bigdl.nano.utils.common import compare_version
  import operator
label_desc: Use image node_id 1 to create a new TensorflowQuantization object from inherited base classes: BaseQuantization with example: obj = TensorflowQuantization(framework)