Fix docstring format (#761)

Signed-off-by: Lv, Liang1 <[email protected]>
Co-authored-by: chen, suyue <[email protected]>

Author: lvliang-intel

neural_compressor/config.py

@@ -153,20 +153,20 @@ class BenchmarkConfig:
     """Config Class for Benchmark.
 
     Args:
-    inputs (List, optional): A list of strings containing the inputs of model. Default is an empty list.
-    outputs (List, optional): A list of strings containing the outputs of model. Default is an empty list.
-    backend (str, optional): backend name for model execution. Supported values include: 'default', 'itex',
-                             'ipex', 'onnxrt_trt_ep', 'onnxrt_cuda_ep'. Default value is 'default'.
-    warmup (int, optional): The number of iterations to perform warmup before running performance tests.
-                            Default value is 5.
-    iteration (int, optional): The number of iterations to run performance tests. Default is -1.
-    cores_per_instance (int, optional): The number of CPU cores to use per instance. Default value is None.
-    num_of_instance (int, optional): The number of instances to use for performance testing.
-                                     Default value is None.
-    inter_num_of_threads (int, optional): The number of threads to use for inter-thread operations.
-                                          Default value is None.
-    intra_num_of_threads (int, optional): The number of threads to use for intra-thread operations.
-                                          Default value is None.
+        inputs (list, optional): A list of strings containing the inputs of model. Default is an empty list.
+        outputs (list, optional): A list of strings containing the outputs of model. Default is an empty list.
+        backend (str, optional): Backend name for model execution. Supported values include: 'default', 'itex',
+                                'ipex', 'onnxrt_trt_ep', 'onnxrt_cuda_ep'. Default value is 'default'.
+        warmup (int, optional): The number of iterations to perform warmup before running performance tests.
+                                Default value is 5.
+        iteration (int, optional): The number of iterations to run performance tests. Default is -1.
+        cores_per_instance (int, optional): The number of CPU cores to use per instance. Default value is None.
+        num_of_instance (int, optional): The number of instances to use for performance testing.
+                                         Default value is None.
+        inter_num_of_threads (int, optional): The number of threads to use for inter-thread operations.
+                                              Default value is None.
+        intra_num_of_threads (int, optional): The number of threads to use for intra-thread operations.
+                                              Default value is None.
 
     Example::
 
@@ -1218,14 +1218,19 @@ class MixedPrecisionConfig(PostTrainingQuantConfig):
     """Config Class for MixedPrecision.
     
     Args:
-        device (String, optional): device for execution. Support 'cpu' and 'gpu', default is 'cpu'
-        backend (String, optional): backend for model execution. Support 'default', 'itex', 'ipex', 'onnxrt_trt_ep', 'onnxrt_cuda_ep', default is 'default'
-        precision (String, optional): target precision for mix precision conversion. Support 'bf16' and 'fp16', default is 'bf16'
-        inputs (List, optional): inputs of model, default is []
-        outputs (List, optional): outputs of model, default is []
-        tuning_criterion (TuningCriterion object, optional): accuracy tuning settings, it won't work if there is no accuracy tuning process
-        accuracy_criterion (AccuracyCriterion object, optional): accuracy constraint settings, it won't work if there is no accuracy tuning process
-        excluded_precisions (List, optional): precisions to be excluded during mix precision conversion, default is []
+        device (str, optional): device for execution. Support 'cpu' and 'gpu', default is 'cpu'
+        backend (str, optional): backend for model execution. Support 'default', 'itex', 'ipex',
+                                    'onnxrt_trt_ep', 'onnxrt_cuda_ep', default is 'default'
+        precision (str, optional): target precision for mix precision conversion.
+                                      Support 'bf16' and 'fp16', default is 'bf16'
+        inputs (list, optional): inputs of model, default is []
+        outputs (list, optional): outputs of model, default is []
+        tuning_criterion (TuningCriterion object, optional): accuracy tuning settings, it won't work
+                                                             if there is no accuracy tuning process
+        accuracy_criterion (AccuracyCriterion object, optional): accuracy constraint settings, it won't
+                                                                 work if there is no accuracy tuning process
+        excluded_precisions (list, optional): precisions to be excluded during mix precision conversion, 
+                                              default is []
 
     Example::
 
@@ -1411,10 +1416,10 @@ class TF2ONNXConfig(ExportConfig):
 
     Args:
         dtype (str, optional): The data type of export target model. Supports 'fp32' and 'int8'.
-                               Defaults to "int8".
+                               Defaults to 'int8'.
         opset_version (int, optional): The version of the ONNX operator set to use. Defaults to 14.
         quant_format (str, optional): The quantization format for the export target model.
-                                      Supports 'default', 'QDQ' and 'QOperator'. Defaults to "QDQ".
+                                      Supports 'default', 'QDQ' and 'QOperator'. Defaults to 'QDQ'.
         example_inputs (list, optional): A list example inputs to use for tracing the model.
                                         Defaults to None.
         input_names (list, optional): A list of model input names. Defaults to None.