[xdoctest][task 143] Reformat example code with google style in...

[xdoctest][task 143] Reformat example code with google style in quantization/quantization_pass.py (#56240)

* [xdoctest][task 143] test=docs_preview

* test=document_fix

* fix indent

* fix indent in python/paddle/static/quantization/quantization_pass.py

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

python/paddle/quantization/config.py

@@ -68,17 +68,17 @@ class QuantConfig:
         weight(QuanterFactory): The global quantizer used to quantize the weights.
 
     Examples:
-       .. code-block:: python
+        .. code-block:: python
 
-          >>> from paddle.quantization import QuantConfig
-          >>> from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver
+            >>> from paddle.quantization import QuantConfig
+            >>> from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver
 
-          >>> quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9)
-          >>> q_config = QuantConfig(activation=quanter, weight=quanter)
-          >>> print(q_config)
-          Global config:
-          activation: FakeQuanterWithAbsMaxObserver(name=None,moving_rate=0.9,bit_length=8,dtype=float32)
-          weight: FakeQuanterWithAbsMaxObserver(name=None,moving_rate=0.9,bit_length=8,dtype=float32)
+            >>> quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9)
+            >>> q_config = QuantConfig(activation=quanter, weight=quanter)
+            >>> print(q_config)
+            Global config:
+            activation: FakeQuanterWithAbsMaxObserver(name=None,moving_rate=0.9,bit_length=8,dtype=float32)
+            weight: FakeQuanterWithAbsMaxObserver(name=None,moving_rate=0.9,bit_length=8,dtype=float32)
 
     """
 
@@ -112,27 +112,27 @@ class QuantConfig:
             weight(QuanterFactory): Quanter used for weights.
 
         Examples:
-           .. code-block:: python
-
-               >>> import paddle
-               >>> from paddle.nn import Linear
-               >>> from paddle.quantization import QuantConfig
-               >>> from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver
-
-               >>> class Model(paddle.nn.Layer):
-               ...    def __init__(self):
-               ...        super().__init__()
-               ...        self.fc = Linear(576, 120)
-               >>> model = Model()
-               >>> quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9)
-               >>> q_config = QuantConfig(activation=None, weight=None)
-               >>> q_config.add_layer_config([model.fc], activation=quanter, weight=quanter)
-               >>> # doctest: +SKIP
-               >>> print(q_config)
-               Global config:
-               None
-               Layer prefix config:
-               {'linear_0': <paddle.quantization.config.SingleLayerConfig object at 0x7fe41a680ee0>}
+            .. code-block:: python
+
+                >>> import paddle
+                >>> from paddle.nn import Linear
+                >>> from paddle.quantization import QuantConfig
+                >>> from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver
+
+                >>> class Model(paddle.nn.Layer):
+                ...    def __init__(self):
+                ...        super().__init__()
+                ...        self.fc = Linear(576, 120)
+                >>> model = Model()
+                >>> quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9)
+                >>> q_config = QuantConfig(activation=None, weight=None)
+                >>> q_config.add_layer_config([model.fc], activation=quanter, weight=quanter)
+                >>> # doctest: +SKIP
+                >>> print(q_config)
+                Global config:
+                None
+                Layer prefix config:
+                {'linear_0': <paddle.quantization.config.SingleLayerConfig object at 0x7fe41a680ee0>}
 
         """
         if isinstance(layer, list):
@@ -161,27 +161,27 @@ class QuantConfig:
             weight(QuanterFactory): Quanter used for weights.
 
         Examples:
-           .. code-block:: python
-
-               >>> import paddle
-               >>> from paddle.nn import Linear
-               >>> from paddle.quantization import QuantConfig
-               >>> from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver
-
-               >>> class Model(paddle.nn.Layer):
-               ...     def __init__(self):
-               ...         super().__init__()
-               ...         self.fc = Linear(576, 120)
-               >>> model = Model()
-               >>> quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9)
-               >>> q_config = QuantConfig(activation=None, weight=None)
-               >>> q_config.add_name_config([model.fc.full_name()], activation=quanter, weight=quanter)
-               >>> # doctest: +SKIP
-               >>> print(q_config)
-               Global config:
-               None
-               Layer prefix config:
-               {'linear_0': <paddle.quantization.config.SingleLayerConfig object at 0x7fe41a680fd0>}
+            .. code-block:: python
+
+                >>> import paddle
+                >>> from paddle.nn import Linear
+                >>> from paddle.quantization import QuantConfig
+                >>> from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver
+
+                >>> class Model(paddle.nn.Layer):
+                ...     def __init__(self):
+                ...         super().__init__()
+                ...         self.fc = Linear(576, 120)
+                >>> model = Model()
+                >>> quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9)
+                >>> q_config = QuantConfig(activation=None, weight=None)
+                >>> q_config.add_name_config([model.fc.full_name()], activation=quanter, weight=quanter)
+                >>> # doctest: +SKIP
+                >>> print(q_config)
+                Global config:
+                None
+                Layer prefix config:
+                {'linear_0': <paddle.quantization.config.SingleLayerConfig object at 0x7fe41a680fd0>}
 
         """
         if isinstance(layer_name, str):

python/paddle/quantization/factory.py

@@ -81,7 +81,7 @@ def quanter(class_name):
         class_name (str) - The name of factory class to be declared.
 
     Examples:
-       .. code-block:: python
+        .. code-block:: python
 
             >>> # doctest: +SKIP
             >>> # Given codes in ./customized_quanter.py

python/paddle/static/quantization/quant_int8_mkldnn_pass.py

@@ -43,19 +43,19 @@ class QuantInt8MkldnnPass:
 
 
         Examples:
-        .. code-block:: python
-
-            >>> # The original graph will be rewrite.
-            >>> import paddle
-            >>> from paddle import static
-            >>> from paddle.static.quantization import QuantInt8MkldnnPass
-            >>> from paddle.framework import IrGraph
-            >>> from paddle.framework import core
-
-            >>> graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
-            >>> place = paddle.CPUPlace()
-            >>> mkldnn_pass = QuantInt8MkldnnPass(static.global_scope(), place)
-            >>> mkldnn_pass.apply(graph)
+            .. code-block:: python
+
+                >>> # The original graph will be rewrite.
+                >>> import paddle
+                >>> from paddle import static
+                >>> from paddle.static.quantization import QuantInt8MkldnnPass
+                >>> from paddle.framework import IrGraph
+                >>> from paddle.framework import core
+
+                >>> graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
+                >>> place = paddle.CPUPlace()
+                >>> mkldnn_pass = QuantInt8MkldnnPass(static.global_scope(), place)
+                >>> mkldnn_pass.apply(graph)
         """
 
         self._scope = _scope

python/paddle/static/quantization/quantization_pass.py

@@ -174,19 +174,18 @@ class QuantizationTransformPass:
 
 
         Examples:
-        .. code-block:: python
-            # The original graph will be rewrite.
-            import paddle.static as static
-            from paddle.static.quantization \
-                import QuantizationTransformPass
-            from paddle.fluid.framework import IrGraph
-            from paddle.framework import core
-
-            graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
-            place = paddle.CPUPlace()
-            transform_pass = QuantizationTransformPass(static.global_scope(),
-            place)
-            transform_pass.apply(graph)
+            .. code-block:: python
+
+                >>> # The original graph will be rewrite.
+                >>> import paddle.static as static
+                >>> from paddle.static.quantization import QuantizationTransformPass
+                >>> from paddle.fluid.framework import IrGraph
+                >>> from paddle.framework import core
+
+                >>> graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
+                >>> place = paddle.CPUPlace()
+                >>> transform_pass = QuantizationTransformPass(static.global_scope(), place)
+                >>> transform_pass.apply(graph)
         """
         self._scope = scope
         self._place = _get_paddle_place(place)
@@ -2436,7 +2435,7 @@ class QuantizationTransformPassV2(QuantizationTransformPass):
                 preprocess method works or not. The function's input is non-quantized
                 activation and function returns processed activation to be quantized.
                 If None, the activation will be quantized directly. Default is None.
-            optimizer_func(function): Fuction return a optimizer. When 'is_test' is
+            optimizer_func(function): Function return a optimizer. When 'is_test' is
                 False and user want to use self-defined quantization function and
                 preprocess function, this function must be set. Default is None.
             executor(paddle.Executor): If user want to use self-defined quantization
@@ -2444,19 +2443,20 @@ class QuantizationTransformPassV2(QuantizationTransformPass):
                 Default is None.
 
         Examples:
-        .. code-block:: python
-            # The original graph will be rewrite.
-            import paddle
-            from paddle.static.quantization \
-                import QuantizationTransformPassV2
-            from paddle.fluid.framework import IrGraph
-            from paddle.framework import core
-
-            graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
-            place = paddle.CPUPlace()
-            scope = paddle.static.global_scope()
-            transform_pass = QuantizationTransformPassV2(scope, place)
-            transform_pass.apply(graph)
+            .. code-block:: python
+
+                >>> # The original graph will be rewrite.
+                >>> import paddle
+                >>> import paddle.static as static
+                >>> from paddle.static.quantization import QuantizationTransformPassV2
+                >>> from paddle.fluid.framework import IrGraph
+                >>> from paddle.framework import core
+
+                >>> graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
+                >>> place = paddle.CPUPlace()
+                >>> scope = paddle.static.global_scope()
+                >>> transform_pass = QuantizationTransformPassV2(scope, place)
+                >>> transform_pass.apply(graph)
         """
         self._scope = scope
         self._place = _get_paddle_place(place)
@@ -2836,19 +2836,20 @@ class AddQuantDequantPassV2:
             scale_dict(dict, optional): calibration ranges of tensors output.
 
         Examples:
-        .. code-block:: python
-            # The original graph will be rewrite.
-            import paddle
-            from paddle.static.quantization \
-                import AddQuantDequantPassV2
-            from paddle.fluid.framework import IrGraph
-            from paddle.framework import core
-
-            graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
-            place = paddle.CPUPlace()
-            scope = paddle.static.global_scope()
-            add_quant_dequant_pass = AddQuantDequantPassV2(scope, place)
-            add_quant_dequant_pass.apply(graph)
+            .. code-block:: python
+
+                >>> # The original graph will be rewrite.
+                >>> import paddle
+                >>> import paddle.static as static
+                >>> from paddle.static.quantization import AddQuantDequantPassV2
+                >>> from paddle.fluid.framework import IrGraph
+                >>> from paddle.framework import core
+
+                >>> graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
+                >>> place = paddle.CPUPlace()
+                >>> scope = paddle.static.global_scope()
+                >>> add_quant_dequant_pass = AddQuantDequantPassV2(scope, place)
+                >>> add_quant_dequant_pass.apply(graph)
         """
         self._scope = scope
         self._place = _get_paddle_place(place)
@@ -3018,19 +3019,20 @@ class ReplaceFakeQuantDequantPass:
             quant_bits(int, optional): quantization bit number for activation. Default is 8.
 
         Examples:
-        .. code-block:: python
-            # The original graph will be rewrite.
-            import paddle
-            from paddle.static.quantization \
-                import ReplaceFakeQuantDequantPass
-            from paddle.fluid.framework import IrGraph
-            from paddle.framework import core
-
-            graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
-            place = paddle.CPUPlace()
-            scope = paddle.static.global_scope()
-            replace_pass = ReplaceFakeQuantDequantPass(scope, place)
-            replace_pass.apply(graph)
+            .. code-block:: python
+
+                >>> # The original graph will be rewrite.
+                >>> import paddle
+                >>> import paddle.static as static
+                >>> from paddle.static.quantization import ReplaceFakeQuantDequantPass
+                >>> from paddle.fluid.framework import IrGraph
+                >>> from paddle.framework import core
+
+                >>> graph = IrGraph(core.Graph(static.Program().desc), for_test=False)
+                >>> place = paddle.CPUPlace()
+                >>> scope = paddle.static.global_scope()
+                >>> replace_pass = ReplaceFakeQuantDequantPass(scope, place)
+                >>> replace_pass.apply(graph)
         """
         self._place = _get_paddle_place(place)
         self._scope = scope
@@ -3175,18 +3177,19 @@ class QuantWeightPass:
 
     Examples:
         .. code-block:: python
-            # The original graph will be rewrite.
-            import paddle
-            from paddle.static.quantization \
-                import QuantWeightPass
-            from paddle.fluid.framework import IrGraph
-            from paddle.framework import core
-
-            graph = IrGraph(core.Graph(paddle.static.Program().desc), for_test=False)
-            place = paddle.CPUPlace()
-            scope = paddle.static.global_scope()
-            quant_weight_pass = QuantWeightPass(scope, place)
-            quant_weight_pass.apply(graph)
+
+            >>> # The original graph will be rewrite.
+            >>> import paddle
+            >>> import paddle.static as static
+            >>> from paddle.static.quantization import QuantWeightPass
+            >>> from paddle.fluid.framework import IrGraph
+            >>> from paddle.framework import core
+
+            >>> graph = IrGraph(core.Graph(paddle.static.Program().desc), for_test=False)
+            >>> place = paddle.CPUPlace()
+            >>> scope = paddle.static.global_scope()
+            >>> quant_weight_pass = QuantWeightPass(scope, place)
+            >>> quant_weight_pass.apply(graph)
     """
 
     def __init__(