Fix pruning tutorials for 2.0 API (#579)

docs/zh_cn/quick_start/pruning_tutorial.md

@@ -18,6 +18,7 @@ PaddleSlim依赖Paddle1.7版本，请确认已正确安装Paddle，然后按以
 import paddle
 import paddle.fluid as fluid
 import paddleslim as slim
+paddle.enable_static()
 ```
 
 ## 2. 构建网络
@@ -61,7 +62,7 @@ pruned_program, _, _ = pruner.prune(
 ### 3.3 计算剪裁之后的FLOPs
 
 ```
-FLOPs = paddleslim.analysis.flops(pruned_program)
+FLOPs = slim.analysis.flops(pruned_program)
 print("FLOPs: {}".format(FLOPs))
 ```
 
@@ -84,6 +85,6 @@ train_feeder = fluid.DataFeeder(inputs, fluid.CPUPlace())
 
 ```
 for data in train_reader():
-    acc1, acc5, loss = exe.run(pruned_program, feed=train_feeder.feed(data), fetch_list=outputs)
+    acc1, acc5, loss, _ = exe.run(pruned_program, feed=train_feeder.feed(data), fetch_list=outputs)
     print(acc1, acc5, loss)
 ```

docs/zh_cn/tutorials/image_classification_sensitivity_analysis_tutorial.md

@@ -23,6 +23,7 @@ PaddleSlim依赖Paddle1.7版本，请确认已正确安装Paddle，然后按以
 import paddle
 import paddle.fluid as fluid
 import paddleslim as slim
+paddle.enable_static()
 ```
 
 ## 2. 构建网络
@@ -62,7 +63,7 @@ def test(program):
     acc_top1_ns = []
     acc_top5_ns = []
     for data in test_reader():
-        acc_top1_n, acc_top5_n, _ = exe.run(
+        acc_top1_n, acc_top5_n, _, _ = exe.run(
             program,
             feed=data_feeder.feed(data),
             fetch_list=outputs)
@@ -258,7 +259,7 @@ test(pruned_val_program)
 
 ```python
 for data in train_reader():
-    acc1, acc5, loss = exe.run(pruned_program, feed=data_feeder.feed(data), fetch_list=outputs)
+    acc1, acc5, loss, _ = exe.run(pruned_program, feed=data_feeder.feed(data), fetch_list=outputs)
 print(np.mean(acc1), np.mean(acc5), np.mean(loss))
 ```
 

docs/zh_cn/tutorials/sensitivity_tutorial.md

-#  图像分类模型通道剪裁-敏感度分析
-
-该教程以图像分类模型MobileNetV1为例，说明如何快速使用[PaddleSlim的敏感度分析接口](https://paddlepaddle.github.io/PaddleSlim/api/prune_api/#sensitivity)。
-该示例包含以下步骤：
-
-1. 导入依赖
-2. 构建模型
-3. 定义输入数据
-4. 定义模型评估方法
-5. 训练模型
-6. 获取待分析卷积参数名称
-7. 分析敏感度
-8. 剪裁模型
-
-以下章节依次次介绍每个步骤的内容。
-
-## 1. 导入依赖
-
-PaddleSlim依赖Paddle1.7版本，请确认已正确安装Paddle，然后按以下方式导入Paddle和PaddleSlim:
-
-```
-import paddle
-import paddle.fluid as fluid
-import paddleslim as slim
-```