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diff --git a/latest/_sources/autoapi/neural_compressor/common/base_config/index.rst.txt b/latest/_sources/autoapi/neural_compressor/common/base_config/index.rst.txt
@@ -17,7 +17,6 @@ Classes
    neural_compressor.common.base_config.ConfigRegistry
    neural_compressor.common.base_config.BaseConfig
    neural_compressor.common.base_config.ComposableConfig
-   neural_compressor.common.base_config.Options
 
 
 
@@ -27,6 +26,7 @@ Functions
 .. autoapisummary::
 
    neural_compressor.common.base_config.register_config
+   neural_compressor.common.base_config.get_all_config_set_from_config_registry
 
 
 
@@ -72,43 +72,5 @@ Attributes
    The base config for all algorithm configs.
 
 
-.. py:class:: Options(random_seed=1978, workspace=DEFAULT_WORKSPACE, resume_from=None, tensorboard=False)
-
-
-   Option Class for configs.
-
-   This class is used for configuring global variables. The global variable options is created with this class.
-   If you want to change global variables, you should use functions from neural_compressor.common.utils.utility.py:
-       set_random_seed(seed: int)
-       set_workspace(workspace: str)
-       set_resume_from(resume_from: str)
-       set_tensorboard(tensorboard: bool)
-
-   :param random_seed: Random seed used in neural compressor.
-                       Default value is 1978.
-   :type random_seed: int
-   :param workspace: The directory where intermediate files and tuning history file are stored.
-                     Default value is:
-                         "./nc_workspace/{}/".format(datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")).
-   :type workspace: str
-   :param resume_from: The directory you want to resume tuning history file from.
-                       The tuning history was automatically saved in the workspace directory
-                            during the last tune process.
-                       Default value is None.
-   :type resume_from: str
-   :param tensorboard:
-                       This flag indicates whether to save the weights of the model and the inputs of each layer
-                           for visual display.
-                       Default value is False.
-   :type tensorboard: bool
-
-   Example::
-
-       from neural_compressor.common import set_random_seed, set_workspace, set_resume_from, set_tensorboard
-       set_random_seed(2022)
-       set_workspace("workspace_path")
-       set_resume_from("workspace_path")
-       set_tensorboard(True)
-
 
 
diff --git a/latest/_sources/autoapi/neural_compressor/common/base_tuning/index.rst.txt b/latest/_sources/autoapi/neural_compressor/common/base_tuning/index.rst.txt
@@ -65,12 +65,12 @@ Functions
    It assists validation teams in retrieving logs.
 
 
-.. py:class:: TuningConfig(quant_configs=None, timeout=0, max_trials=100, sampler: Sampler = None)
+.. py:class:: TuningConfig(config_set=None, timeout=0, max_trials=100, sampler: Sampler = None)
 
 
    Base Class for Tuning Criterion.
 
-   :param quant_configs: quantization configs. Default value is empty.
+   :param config_set: quantization configs. Default value is empty.
    :param timeout: Tuning timeout (seconds). Default value is 0 which means early stop.
    :param max_trials: Max tuning times. Default value is 100. Combine with timeout field to decide when to exit.
 

diff --git a/...st/_sources/autoapi/neural_compressor/torch/quantization/autotune/index.rst.txt b/...st/_sources/autoapi/neural_compressor/torch/quantization/autotune/index.rst.txt
@@ -15,7 +15,7 @@ Functions
 
 .. autoapisummary::
 
-   neural_compressor.torch.quantization.autotune.get_default_tune_config
+   neural_compressor.torch.quantization.autotune.get_all_config_set
    neural_compressor.torch.quantization.autotune.autotune
 
 

diff --git a/latest/_sources/autoapi/neural_compressor/torch/quantization/config/index.rst.txt b/latest/_sources/autoapi/neural_compressor/torch/quantization/config/index.rst.txt
@@ -16,9 +16,6 @@ Classes
 
    neural_compressor.torch.quantization.config.RTNConfig
    neural_compressor.torch.quantization.config.GPTQConfig
-   neural_compressor.torch.quantization.config.StaticQuantConfig
-   neural_compressor.torch.quantization.config.SmoothQuantConfig
-   neural_compressor.torch.quantization.config.FP8QConfig
 
 
 
@@ -29,8 +26,6 @@ Functions
 
    neural_compressor.torch.quantization.config.get_default_rtn_config
    neural_compressor.torch.quantization.config.get_default_gptq_config
-   neural_compressor.torch.quantization.config.get_default_static_config
-   neural_compressor.torch.quantization.config.get_default_sq_config
 
 
 
@@ -67,41 +62,3 @@ Functions
    :returns: the default gptq config.
 
 
-.. py:class:: StaticQuantConfig(w_dtype: str = 'int8', w_sym: bool = True, w_granularity: str = 'per_channel', w_algo: str = 'minmax', act_dtype: str = 'uint8', act_sym: bool = False, act_granularity: str = 'per_tensor', act_algo: str = 'kl', white_list: Optional[List[neural_compressor.common.utils.OP_NAME_OR_MODULE_TYPE]] = DEFAULT_WHITE_LIST)
-
-
-
-
-   Config class for static quantization.
-
-
-.. py:function:: get_default_static_config() -> StaticQuantConfig
-
-   Generate the default static quant config.
-
-   :returns: the default static quant config.
-
-
-.. py:class:: SmoothQuantConfig(w_dtype: str = 'int8', w_sym: bool = True, w_granularity: str = 'per_channel', w_algo: str = 'minmax', act_dtype: str = 'uint8', act_sym: bool = False, act_granularity: str = 'per_tensor', act_algo: str = 'kl', alpha: float = 0.5, folding: bool = False, scale_sharing: bool = False, init_alpha: float = 0.5, alpha_min: float = 0.0, alpha_max: float = 1.0, alpha_step: float = 0.1, shared_criterion: str = 'max', enable_blockwise_loss: bool = False, auto_alpha_args: dict = None, white_list: Optional[List[neural_compressor.common.utils.OP_NAME_OR_MODULE_TYPE]] = DEFAULT_WHITE_LIST)
-
-
-
-
-   Config class for smooth quantization.
-
-
-.. py:function:: get_default_sq_config() -> SmoothQuantConfig
-
-   Generate the default smoothquant config.
-
-   :returns: the default smoothquant config.
-
-
-.. py:class:: FP8QConfig(weight_dtype: DTYPE_RANGE = torch.float8_e4m3fn, act_dtype: DTYPE_RANGE = torch.float8_e4m3fn, act_algo: Union[str, List[str]] = 'minmax', approach: Union[str, List[str]] = 'static', device: Union[str, List[str]] = 'hpu', white_list: Optional[List[neural_compressor.common.utils.OP_NAME_OR_MODULE_TYPE]] = DEFAULT_WHITE_LIST)
-
-
-
-
-   Config class for FP8 quantization.
-
-
diff --git a/latest/autoapi/block_mask/index.html b/latest/autoapi/block_mask/index.html
@@ -107,7 +107,7 @@
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diff --git a/latest/autoapi/neural_compressor/adaptor/adaptor/index.html b/latest/autoapi/neural_compressor/adaptor/adaptor/index.html
@@ -146,7 +146,7 @@ <h3>Functions<a class="headerlink" href="#functions" title="Permalink to this he
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diff --git a/latest/autoapi/neural_compressor/adaptor/index.html b/latest/autoapi/neural_compressor/adaptor/index.html
@@ -217,7 +217,7 @@ <h2>Package Contents<a class="headerlink" href="#package-contents" title="Permal
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diff --git a/latest/autoapi/neural_compressor/adaptor/keras/index.html b/latest/autoapi/neural_compressor/adaptor/keras/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/keras_utils/dense/index.html b/latest/autoapi/neural_compressor/adaptor/keras_utils/dense/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/keras_utils/depthwise_conv2d/index.html b/latest/autoapi/neural_compressor/adaptor/keras_utils/depthwise_conv2d/index.html
@@ -106,7 +106,7 @@
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diff --git a/latest/autoapi/neural_compressor/adaptor/keras_utils/index.html b/latest/autoapi/neural_compressor/adaptor/keras_utils/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/keras_utils/quantizer/index.html b/latest/autoapi/neural_compressor/adaptor/keras_utils/quantizer/index.html
@@ -106,7 +106,7 @@
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diff --git a/latest/autoapi/neural_compressor/adaptor/keras_utils/separable_conv2d/index.html b/latest/autoapi/neural_compressor/adaptor/keras_utils/separable_conv2d/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/mxnet/index.html b/latest/autoapi/neural_compressor/adaptor/mxnet/index.html
@@ -140,7 +140,7 @@ <h3>Classes<a class="headerlink" href="#classes" title="Permalink to this headin
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diff --git a/latest/autoapi/neural_compressor/adaptor/mxnet_utils/index.html b/latest/autoapi/neural_compressor/adaptor/mxnet_utils/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/mxnet_utils/util/index.html b/latest/autoapi/neural_compressor/adaptor/mxnet_utils/util/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/onnxrt/index.html b/latest/autoapi/neural_compressor/adaptor/onnxrt/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/ox_utils/index.html b/latest/autoapi/neural_compressor/adaptor/ox_utils/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/activation/index.html b/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/activation/index.html
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diff --git a/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/binary_op/index.html b/latest/autoapi/neural_compressor/adaptor/ox_utils/operators/binary_op/index.html
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