docstr: Create a Intel Neural Compressor Quantization object for ONNXRuntime in Tensorflow.
docstr_tok: ["Create","a","Intel","Neural","Compressor","Quantization","object","for","ONNXRuntime","in","Tensorflow","."]
code: def __init__(self, framework="onnxrt_qlinear", **kwargs):
      """
      Create a Intel Neural Compressor Quantization object for ONNXRuntime in Tensorflow.
      """
      kwargs["framework"] = framework
      self.session_options = kwargs.pop(
          "onnxruntime_session_options", None
      )
      super().__init__(**kwargs)
      self._inc_metric_cls = KerasONNXRuntimeINCMetic
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/onnx/tensorflow/quantization.py
imports: import numpy
  import tensorflow
  from bigdl.nano.utils.tf import tensors_to_numpy
  from bigdl.nano.deps.onnxruntime.tensorflow.model import KerasONNXRuntimeModel
  from ..quantization import BaseONNXRuntimeQuantization
  from .metric import KerasONNXRuntimeINCMetic
label_desc: Use image node_id 1 to create a new KerasONNXRuntimeQuantization object from inherited base classes: BaseONNXRuntimeQuantization with example: obj = KerasONNXRuntimeQuantization(framework)