Fix bugs in parameter parsing

demo/image-classification/img_classifier.py

 #coding:utf-8
 import argparse
 import os
+import ast
 
 import paddle.fluid as fluid
 import paddlehub as hub
@@ -8,14 +9,14 @@ import numpy as np
 
 # yapf: disable
 parser = argparse.ArgumentParser(__doc__)
-parser.add_argument("--num_epoch",          type=int,   default=1,                          help="Number of epoches for fine-tuning.")
-parser.add_argument("--use_gpu",            type=bool,  default=False,                      help="Whether use GPU for fine-tuning.")
-parser.add_argument("--checkpoint_dir",     type=str,   default="paddlehub_finetune_ckpt",  help="Path to save log data.")
-parser.add_argument("--batch_size",         type=int,   default=16,                         help="Total examples' number in batch for training.")
-parser.add_argument("--module",             type=str,   default="resnet50",                 help="Module used as feature extractor.")
-parser.add_argument("--dataset",            type=str,   default="flowers",                  help="Dataset to finetune.")
-parser.add_argument("--use_pyreader",       type=bool,  default=False,                      help="Whether use pyreader to feed data.")
-parser.add_argument("--use_data_parallel",  type=bool,  default=False,                      help="Whether use data parallel.")
+parser.add_argument("--num_epoch",          type=int,               default=1,                          help="Number of epoches for fine-tuning.")
+parser.add_argument("--use_gpu",            type=ast.literal_eval,  default=False,                      help="Whether use GPU for fine-tuning.")
+parser.add_argument("--checkpoint_dir",     type=str,               default="paddlehub_finetune_ckpt",  help="Path to save log data.")
+parser.add_argument("--batch_size",         type=int,               default=16,                         help="Total examples' number in batch for training.")
+parser.add_argument("--module",             type=str,               default="resnet50",                 help="Module used as feature extractor.")
+parser.add_argument("--dataset",            type=str,               default="flowers",                  help="Dataset to finetune.")
+parser.add_argument("--use_pyreader",       type=ast.literal_eval,  default=False,                      help="Whether use pyreader to feed data.")
+parser.add_argument("--use_data_parallel",  type=ast.literal_eval,  default=False,                      help="Whether use data parallel.")
 # yapf: enable.
 
 module_map = {

demo/image-classification/predict.py

 #coding:utf-8
 import argparse
 import os
+import ast
 
 import paddle.fluid as fluid
 import paddlehub as hub
@@ -8,12 +9,12 @@ import numpy as np
 
 # yapf: disable
 parser = argparse.ArgumentParser(__doc__)
-parser.add_argument("--use_gpu",            type=bool,  default=False,                      help="Whether use GPU for predict.")
-parser.add_argument("--checkpoint_dir",     type=str,   default="paddlehub_finetune_ckpt",  help="Path to save log data.")
-parser.add_argument("--batch_size",         type=int,   default=16,                         help="Total examples' number in batch for training.")
-parser.add_argument("--module",             type=str,   default="resnet50",                 help="Module used as a feature extractor.")
-parser.add_argument("--dataset",            type=str,   default="flowers",                  help="Dataset to finetune.")
-parser.add_argument("--use_pyreader",       type=bool,  default=False,                      help="Whether use pyreader to feed data.")
+parser.add_argument("--use_gpu",            type=ast.literal_eval,  default=False,                      help="Whether use GPU for predict.")
+parser.add_argument("--checkpoint_dir",     type=str,               default="paddlehub_finetune_ckpt",  help="Path to save log data.")
+parser.add_argument("--batch_size",         type=int,               default=16,                         help="Total examples' number in batch for training.")
+parser.add_argument("--module",             type=str,               default="resnet50",                 help="Module used as a feature extractor.")
+parser.add_argument("--dataset",            type=str,               default="flowers",                  help="Dataset to finetune.")
+parser.add_argument("--use_pyreader",       type=ast.literal_eval,  default=False,                      help="Whether use pyreader to feed data.")
 # yapf: enable.
 
 module_map = {

demo/sequence-labeling/predict.py

@@ -35,7 +35,7 @@ parser.add_argument("--checkpoint_dir", type=str, default=None, help="Directory
 parser.add_argument("--max_seq_len", type=int, default=512, help="Number of words of the longest seqence.")
 parser.add_argument("--batch_size",     type=int,   default=1, help="Total examples' number in batch for training.")
 parser.add_argument("--use_gpu", type=ast.literal_eval, default=False, help="Whether use GPU for finetuning, input should be True or False")
-parser.add_argument("--use_pyreader", type=bool, default=False, help="Whether use pyreader to feed data.")
+parser.add_argument("--use_pyreader", type=ast.literal_eval, default=False, help="Whether use pyreader to feed data.")
 args = parser.parse_args()
 # yapf: enable.
 

demo/sequence-labeling/sequence_label.py

@@ -30,8 +30,8 @@ parser.add_argument("--warmup_proportion", type=float, default=0.0, help="Warmup
 parser.add_argument("--max_seq_len", type=int, default=512, help="Number of words of the longest seqence.")
 parser.add_argument("--batch_size", type=int, default=32, help="Total examples' number in batch for training.")
 parser.add_argument("--checkpoint_dir", type=str, default=None, help="Directory to model checkpoint")
-parser.add_argument("--use_pyreader", type=bool, default=False, help="Whether use pyreader to feed data.")
-parser.add_argument("--use_data_parallel", type=bool, default=False, help="Whether use data parallel.")
+parser.add_argument("--use_pyreader", type=ast.literal_eval, default=False, help="Whether use pyreader to feed data.")
+parser.add_argument("--use_data_parallel", type=ast.literal_eval, default=False, help="Whether use data parallel.")
 args = parser.parse_args()
 # yapf: enable.
 

demo/text-classification/predict.py

@@ -34,7 +34,7 @@ parser.add_argument("--checkpoint_dir", type=str, default=None, help="Directory
 parser.add_argument("--batch_size",     type=int,   default=1, help="Total examples' number in batch for training.")
 parser.add_argument("--max_seq_len", type=int, default=512, help="Number of words of the longest seqence.")
 parser.add_argument("--use_gpu", type=ast.literal_eval, default=False, help="Whether use GPU for finetuning, input should be True or False")
-parser.add_argument("--use_pyreader", type=bool, default=False, help="Whether use pyreader to feed data.")
+parser.add_argument("--use_pyreader", type=ast.literal_eval, default=False, help="Whether use pyreader to feed data.")
 args = parser.parse_args()
 # yapf: enable.
 

demo/text-classification/text_classifier.py

@@ -32,8 +32,8 @@ parser.add_argument("--data_dir", type=str, default=None, help="Path to training
 parser.add_argument("--checkpoint_dir", type=str, default=None, help="Directory to model checkpoint")
 parser.add_argument("--max_seq_len", type=int, default=512, help="Number of words of the longest seqence.")
 parser.add_argument("--batch_size", type=int, default=32, help="Total examples' number in batch for training.")
-parser.add_argument("--use_pyreader", type=bool, default=False, help="Whether use pyreader to feed data.")
-parser.add_argument("--use_data_parallel", type=bool, default=False, help="Whether use data parallel.")
+parser.add_argument("--use_pyreader", type=ast.literal_eval, default=False, help="Whether use pyreader to feed data.")
+parser.add_argument("--use_data_parallel", type=ast.literal_eval, default=False, help="Whether use data parallel.")
 args = parser.parse_args()
 # yapf: enable.