rue/False  (Default is False)
                    ActivationSymmetric = True/False: symmetrize calibration data for activations (default is False).
                    WeightSymmetric = True/False: symmetrize calibration data for weights (default is True).
                    EnableSubgraph = True/False : Default is False. If enabled, subgraph will be quantized.
                                                  Dyanmic mode currently is supported. Will support more in future.
                    ForceQuantizeNoInputCheck = True/False :
                        By default, some latent operators like maxpool, transpose, do not quantize if their input is not
                        quantized already. Setting to True to force such operator always quantize input and so generate
                        quantized output. Also the True behavior could be disabled per node using the nodes_to_exclude.
                    MatMulConstBOnly = True/False:
                        Default is False for static mode. If enabled, only MatMul with const B will be quantized.
                    AddQDQPairToWeight = True/False :
                        Default is False which quantizes floating-point weight and feeds it to solely inserted
                        DeQuantizeLinear node. If True, it remains floating-point weight and inserts both
                        QuantizeLinear/DeQuantizeLinear nodes to weight.
                    OpTypesToExcludeOutputQuantization = list of op type :
                        Default is []. If any op type is specified, it won't quantize the output of ops with this
                        specific op types.
                    DedicatedQDQPair = True/False :
                        Default is False. When inserting QDQ pair, multiple nodes can share a single QDQ pair as their
                        inputs. If True, it will create identical and dedicated QDQ pair for each node.
                    QDQOpTypePerChannelSupportToAxis = dictionary :
                        Default is {}. Set channel axis for specific op type, for example: {'MatMul': 1}, and it's
                        effective only when per channel quantization is supported and per_channel is True. If specific
                        op type supports per channel quantization but not explicitly specified with channel axis,
                        default channel axis will be used.
                    CalibTensorRangeSymmetric = True/False :
                        Default is False. If enabled, the final range of tensor during calibration will be explicitly
                        set to symmetric to central point "0".
                    CalibMovingAverage = True/False :
                        Default is False. If enabled, the moving average of the minimum and maximum values will be
                        computed when the calibration method selected is MinMax.
                    CalibMovingAverageConstant = float :
                        Default is 0.01. Constant smoothing factor to use when computing the moving average of the
                        minimum and maximum values. Effective only when the calibration method selected is MinMax and
                        when CalibMovingAverage is set to True.
                    QuantizeBias = True/False :
                        Default is True which quantizes floating-point biases and it solely inserts
                        a DeQuantizeLinear node. If False, it remains floating-point bias and does not insert
                        any quantization nodes associated with biases.
                        This extra option is only effective when quant_format is QuantFormat.QDQ.
            execution_provider : A enum indicates the Execution Provider such as: CPU, TRT, NNAPI, SNE, etc.
        Raises:
            ValueError: Raise ValueError if execution provider is unknown
        )	r