fix a bug and update docs. (#996)

docs/zh_cn/tutorials/analysis/dygraph/latency_predictor.md

@@ -7,9 +7,10 @@
 ## 1. 准备环境
 ### 1.1 版本要求
 ```bash
-python>=3.7
+python==3.7\3.9
 PaddleSlim>=2.3.0
 ```
+> 注：在 macOS 环境下要求 python==3.9; linux 环境下要求 python==3.7\3.9
 ### 1.2 安装 PaddleSlim
 * 通过 pip install 的方式进行安装:
 ```bash
@@ -40,7 +41,7 @@ tar -xf mobilenetv1.tar
 from paddleslim.analysis import TableLatencyPredictor
 
 predictor = TableLatencyPredictor(table_file='SD710')
-latency = predictor.predict(model_file='mobilenetv1_fp32.pdmodel', param_file='mobilenetv1_fp32.pdiparams, data_type='fp32')
+latency = predictor.predict(model_file='mobilenetv1_fp32.pdmodel', param_file='mobilenetv1_fp32.pdiparams', data_type='fp32')
 print('predicted latency = {}ms'.format(latency))
 ```
 通过设置 table_file 来指定硬件信息，当前支持“SD625”、“SD710”、“SD845”三款骁龙芯片。
@@ -61,7 +62,7 @@ print('predicted latency = {}ms'.format(latency))
 from paddleslim.analysis import TableLatencyPredictor
 
 predictor = TableLatencyPredictor(table_file='SD710')
-predictor.predict(model_file='mobilenetv1_int8.pdmodel', param_file='mobilenetv1_int8.pdiparams, data_type='int8')
+predictor.predict(model_file='mobilenetv1_int8.pdmodel', param_file='mobilenetv1_int8.pdiparams', data_type='int8')
 ```
 
 ## 4. 预估效果

paddleslim/analysis/_utils.py

@@ -248,7 +248,7 @@ def download_predictor(op_dir, op):
 def load_predictor(op_type, op_dir, data_type='fp32'):
     op = op_type
     if 'conv2d' in op_type:
-        op = 'conv2d_' + data_type
+        op = f'{op_type}_{data_type}'
     elif 'matmul' in op_type:
         op = 'matmul'
 

paddleslim/analysis/extract_features.py

@@ -214,7 +214,7 @@ def get_features_from_paramkey(param_key, op_type, data_type):
         for i in range(len(X)):
             if X[i] == '':
                 continue
-            features[i - 1] = int(X[i])
+            features[i] = int(X[i])
         for i in range(0, len(Y)):
             if len(Y) == 4 and i == 0:
                 continue