update quant docs (#841)

* update quant docs

* Update quantization_api.rst

docs/zh_cn/api_cn/static/quant/quantization_api.rst

@@ -74,16 +74,35 @@ quant_post_dynamic
 
 .. warning::
 
-   此示例不能直接运行，因为需要加载 ``${model_dir}`` 下的模型，所以不能直接运行。
+   此api需要加载 ``${model_path}`` 下的模型，所以示例中首先导出了inference model。
 
 .. code-block:: python
 
    import paddle
    import paddle.fluid as fluid
    import paddle.dataset.mnist as reader
+   from paddleslim.models import MobileNet
    from paddleslim.quant import quant_post_dynamic
    
    paddle.enable_static()
+   image = paddle.static.data(name='image', shape=[None, 1, 28, 28], dtype='float32')
+   model = MobileNet()
+   out = model.net(input=image, class_dim=10) 
+   main_prog = paddle.static.default_main_program()
+   val_prog = main_prog.clone(for_test=True)
+   place = paddle.CUDAPlace(0) if paddle.is_compiled_with_cuda() else paddle.CPUPlace()
+   exe = paddle.static.Executor(place)
+   exe.run(paddle.static.default_startup_program())
+   
+   paddle.fluid.io.save_inference_model(
+       dirname='./model_path',
+       feeded_var_names=[image.name],
+       target_vars=[out],
+       main_program=val_prog,
+       executor=exe,
+       model_filename='__model__',
+       params_filename='__params__')
+   
    quant_post_dynamic(
            model_dir='./model_path',
            save_model_dir='./save_path',
@@ -164,20 +183,39 @@ quant_post_static
 
 .. warning::
 
-   此示例不能直接运行，因为需要加载 ``${model_dir}`` 下的模型，所以不能直接运行。
+   此api需要加载 ``${model_path}`` 下的模型，所以示例中首先导出了inference model。
 
 .. code-block:: python
 
     import paddle
     import paddle.fluid as fluid
     import paddle.dataset.mnist as reader
+    from paddleslim.models import MobileNet
     from paddleslim.quant import quant_post_static
+
     paddle.enable_static()
-   val_reader = reader.train()
+    val_reader = reader.test()
     use_gpu = True
     place = fluid.CUDAPlace(0) if use_gpu else fluid.CPUPlace()
-   
     exe = fluid.Executor(place)
+    paddle.enable_static()
+    image = paddle.static.data(name='image', shape=[None, 1, 28, 28], dtype='float32')
+    model = MobileNet()
+    out = model.net(input=image, class_dim=10)
+    main_prog = paddle.static.default_main_program()
+    val_prog = main_prog.clone(for_test=True)
+    place = paddle.CUDAPlace(0) if paddle.is_compiled_with_cuda() else paddle.CPUPlace()
+    exe = paddle.static.Executor(place)
+    exe.run(paddle.static.default_startup_program())
+
+    paddle.fluid.io.save_inference_model(
+        dirname='./model_path',
+        feeded_var_names=[image.name],
+        target_vars=[out],
+        main_program=val_prog,
+        executor=exe,
+        model_filename='__model__',
+        params_filename='__params__')
     quant_post_static(
         executor=exe,
         model_dir='./model_path',
@@ -269,11 +307,10 @@ convert
 .. code-block:: python
 
    #encoding=utf8
-   import paddle
    import paddle.fluid as fluid
    import paddleslim.quant as quant
    
-   paddle.enable_static()
+   
    train_program = fluid.Program()
    
    with fluid.program_guard(train_program):

docs/zh_cn/tutorials/quant/static/quant_post_tutorial.md

@@ -17,15 +17,38 @@
 主要代码实现如下：
 
 ```python
-import paddleslim
-model_dir = path/to/fp32_model_params
-save_model_dir = path/to/save_model_path
-paddleslim.quant.quant_post_dynamic(model_dir=model_dir,
-                   save_model_dir=save_model_dir,
-                   weight_bits=8,
-                   quantizable_op_type=['conv2d', 'mul'],
-                   weight_quantize_type="channel_wise_abs_max",
-                   generate_test_model=False)
+import paddle
+import paddle.fluid as fluid
+import paddle.dataset.mnist as reader
+from paddleslim.models import MobileNet
+from paddleslim.quant import quant_post_dynamic
+
+paddle.enable_static()
+image = paddle.static.data(name='image', shape=[None, 1, 28, 28], dtype='float32')
+model = MobileNet()
+out = model.net(input=image, class_dim=10)
+main_prog = paddle.static.default_main_program()
+val_prog = main_prog.clone(for_test=True)
+place = paddle.CUDAPlace(0) if paddle.is_compiled_with_cuda() else paddle.CPUPlace()
+exe = paddle.static.Executor(place)
+exe.run(paddle.static.default_startup_program())
+
+paddle.fluid.io.save_inference_model(
+    dirname='./model_path',
+    feeded_var_names=[image.name],
+    target_vars=[out],
+    main_program=val_prog,
+    executor=exe,
+    model_filename='__model__',
+    params_filename='__params__')
+
+quant_post_dynamic(
+        model_dir='./model_path',
+        save_model_dir='./save_path',
+        model_filename='__model__',
+        params_filename='__params__',
+        save_model_filename='__model__',
+        save_params_filename='__params__')
 ```
 
 ## 静态离线量化
@@ -47,16 +70,44 @@ paddleslim.quant.quant_post_dynamic(model_dir=model_dir,
 主要代码实现如下：
 
 ```python
-import paddleslim
+import paddle
+import paddle.fluid as fluid
+import paddle.dataset.mnist as reader
+from paddleslim.models import MobileNet
+from paddleslim.quant import quant_post_static
+
+paddle.enable_static()
+val_reader = reader.test()
+use_gpu = True
+place = fluid.CUDAPlace(0) if use_gpu else fluid.CPUPlace()
+exe = fluid.Executor(place)
+paddle.enable_static()
+image = paddle.static.data(name='image', shape=[None, 1, 28, 28], dtype='float32')
+model = MobileNet()
+out = model.net(input=image, class_dim=10)
+main_prog = paddle.static.default_main_program()
+val_prog = main_prog.clone(for_test=True)
+place = paddle.CUDAPlace(0) if paddle.is_compiled_with_cuda() else paddle.CPUPlace()
 exe = paddle.static.Executor(place)
-paddleslim.quant.quant_post(
+exe.run(paddle.static.default_startup_program())
+
+paddle.fluid.io.save_inference_model(
+    dirname='./model_path',
+    feeded_var_names=[image.name],
+    target_vars=[out],
+    main_program=val_prog,
+    executor=exe,
+    model_filename='__model__',
+    params_filename='__params__')
+quant_post_static(
         executor=exe,
-  model_dir=model_path,
-  quantize_model_path=save_path,
-  sample_generator=reader,
-  model_filename=model_filename,
-  params_filename=params_filename,
-  batch_nums=batch_num)
+        model_dir='./model_path',
+        quantize_model_path='./save_path',
+        sample_generator=val_reader,
+        model_filename='__model__',
+        params_filename='__params__',
+        batch_size=16,
+        batch_nums=10)
 ```
 
 详细代码与例程请参考：[静态离线量化](https://github.com/PaddlePaddle/PaddleSlim/tree/develop/demo/quant/quant_post)