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remove default when action is store_true in arguments
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@thomwolf
thomwolf committed Jan 7, 2019
1 parent e048c7f commit c9fd350
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Showing 5 changed files with 4 additions and 22 deletions.
3 changes: 1 addition & 2 deletions examples/extract_features.py
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Original file line number Diff line number Diff line change
Expand Up @@ -199,7 +199,7 @@ def main():
"bert-large-uncased, bert-base-cased, bert-base-multilingual, bert-base-chinese.")

## Other parameters
parser.add_argument("--do_lower_case", default=False, action='store_true', help="Set this flag if you are using an uncased model.")
parser.add_argument("--do_lower_case", action='store_true', help="Set this flag if you are using an uncased model.")
parser.add_argument("--layers", default="-1,-2,-3,-4", type=str)
parser.add_argument("--max_seq_length", default=128, type=int,
help="The maximum total input sequence length after WordPiece tokenization. Sequences longer "
Expand All @@ -210,7 +210,6 @@ def main():
default=-1,
help = "local_rank for distributed training on gpus")
parser.add_argument("--no_cuda",
default=False,
action='store_true',
help="Whether not to use CUDA when available")

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5 changes: 0 additions & 5 deletions examples/run_classifier.py
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Original file line number Diff line number Diff line change
Expand Up @@ -333,15 +333,12 @@ def main():
"Sequences longer than this will be truncated, and sequences shorter \n"
"than this will be padded.")
parser.add_argument("--do_train",
default=False,
action='store_true',
help="Whether to run training.")
parser.add_argument("--do_eval",
default=False,
action='store_true',
help="Whether to run eval on the dev set.")
parser.add_argument("--do_lower_case",
default=False,
action='store_true',
help="Set this flag if you are using an uncased model.")
parser.add_argument("--train_batch_size",
Expand All @@ -366,7 +363,6 @@ def main():
help="Proportion of training to perform linear learning rate warmup for. "
"E.g., 0.1 = 10%% of training.")
parser.add_argument("--no_cuda",
default=False,
action='store_true',
help="Whether not to use CUDA when available")
parser.add_argument("--local_rank",
Expand All @@ -382,7 +378,6 @@ def main():
default=1,
help="Number of updates steps to accumulate before performing a backward/update pass.")
parser.add_argument('--fp16',
default=False,
action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale',
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4 changes: 0 additions & 4 deletions examples/run_lm_finetuning.py
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Original file line number Diff line number Diff line change
Expand Up @@ -432,7 +432,6 @@ def main():
"Sequences longer than this will be truncated, and sequences shorter \n"
"than this will be padded.")
parser.add_argument("--do_train",
default=False,
action='store_true',
help="Whether to run training.")
parser.add_argument("--train_batch_size",
Expand All @@ -457,11 +456,9 @@ def main():
help="Proportion of training to perform linear learning rate warmup for. "
"E.g., 0.1 = 10%% of training.")
parser.add_argument("--no_cuda",
default=False,
action='store_true',
help="Whether not to use CUDA when available")
parser.add_argument("--on_memory",
default=False,
action='store_true',
help="Whether to load train samples into memory or use disk")
parser.add_argument("--local_rank",
Expand All @@ -477,7 +474,6 @@ def main():
default=1,
help="Number of updates steps to accumualte before performing a backward/update pass.")
parser.add_argument('--fp16',
default=False,
action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale',
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9 changes: 3 additions & 6 deletions examples/run_squad.py
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Original file line number Diff line number Diff line change
Expand Up @@ -698,8 +698,8 @@ def main():
parser.add_argument("--max_query_length", default=64, type=int,
help="The maximum number of tokens for the question. Questions longer than this will "
"be truncated to this length.")
parser.add_argument("--do_train", default=False, action='store_true', help="Whether to run training.")
parser.add_argument("--do_predict", default=False, action='store_true', help="Whether to run eval on the dev set.")
parser.add_argument("--do_train", action='store_true', help="Whether to run training.")
parser.add_argument("--do_predict", action='store_true', help="Whether to run eval on the dev set.")
parser.add_argument("--train_batch_size", default=32, type=int, help="Total batch size for training.")
parser.add_argument("--predict_batch_size", default=8, type=int, help="Total batch size for predictions.")
parser.add_argument("--learning_rate", default=5e-5, type=float, help="The initial learning rate for Adam.")
Expand All @@ -714,11 +714,10 @@ def main():
parser.add_argument("--max_answer_length", default=30, type=int,
help="The maximum length of an answer that can be generated. This is needed because the start "
"and end predictions are not conditioned on one another.")
parser.add_argument("--verbose_logging", default=False, action='store_true',
parser.add_argument("--verbose_logging", action='store_true',
help="If true, all of the warnings related to data processing will be printed. "
"A number of warnings are expected for a normal SQuAD evaluation.")
parser.add_argument("--no_cuda",
default=False,
action='store_true',
help="Whether not to use CUDA when available")
parser.add_argument('--seed',
Expand All @@ -730,15 +729,13 @@ def main():
default=1,
help="Number of updates steps to accumulate before performing a backward/update pass.")
parser.add_argument("--do_lower_case",
default=True,
action='store_true',
help="Whether to lower case the input text. True for uncased models, False for cased models.")
parser.add_argument("--local_rank",
type=int,
default=-1,
help="local_rank for distributed training on gpus")
parser.add_argument('--fp16',
default=False,
action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale',
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5 changes: 0 additions & 5 deletions examples/run_swag.py
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Original file line number Diff line number Diff line change
Expand Up @@ -265,15 +265,12 @@ def main():
"Sequences longer than this will be truncated, and sequences shorter \n"
"than this will be padded.")
parser.add_argument("--do_train",
default=False,
action='store_true',
help="Whether to run training.")
parser.add_argument("--do_eval",
default=False,
action='store_true',
help="Whether to run eval on the dev set.")
parser.add_argument("--do_lower_case",
default=False,
action='store_true',
help="Set this flag if you are using an uncased model.")
parser.add_argument("--train_batch_size",
Expand All @@ -298,7 +295,6 @@ def main():
help="Proportion of training to perform linear learning rate warmup for. "
"E.g., 0.1 = 10%% of training.")
parser.add_argument("--no_cuda",
default=False,
action='store_true',
help="Whether not to use CUDA when available")
parser.add_argument("--local_rank",
Expand All @@ -314,7 +310,6 @@ def main():
default=1,
help="Number of updates steps to accumulate before performing a backward/update pass.")
parser.add_argument('--fp16',
default=False,
action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale',
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