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remove default when action is store_true in arguments

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thomwolf
2019-01-07 13:01:54 +01:00
parent e048c7f1c8
commit c9fd350567
5 changed files with 4 additions and 22 deletions
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3
examples/extract_features.py
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@@ -199,7 +199,7 @@ def main():
"bert-large-uncased, bert-base-cased, bert-base-multilingual, bert-base-chinese.") "bert-large-uncased, bert-base-cased, bert-base-multilingual, bert-base-chinese.")
## Other parameters ## 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("--layers", default="-1,-2,-3,-4", type=str)
parser.add_argument("--max_seq_length", default=128, type=int, parser.add_argument("--max_seq_length", default=128, type=int,
help="The maximum total input sequence length after WordPiece tokenization. Sequences longer " help="The maximum total input sequence length after WordPiece tokenization. Sequences longer "
@@ -210,7 +210,6 @@ def main():
default=-1, default=-1,
help = "local_rank for distributed training on gpus") help = "local_rank for distributed training on gpus")
parser.add_argument("--no_cuda", parser.add_argument("--no_cuda",
default=False,
action='store_true', action='store_true',
help="Whether not to use CUDA when available") help="Whether not to use CUDA when available")

5
examples/run_classifier.py
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@@ -333,15 +333,12 @@ def main():
"Sequences longer than this will be truncated, and sequences shorter \n" "Sequences longer than this will be truncated, and sequences shorter \n"
"than this will be padded.") "than this will be padded.")
parser.add_argument("--do_train", parser.add_argument("--do_train",
default=False,
action='store_true', action='store_true',
help="Whether to run training.") help="Whether to run training.")
parser.add_argument("--do_eval", parser.add_argument("--do_eval",
default=False,
action='store_true', action='store_true',
help="Whether to run eval on the dev set.") help="Whether to run eval on the dev set.")
parser.add_argument("--do_lower_case", parser.add_argument("--do_lower_case",
default=False,
action='store_true', action='store_true',
help="Set this flag if you are using an uncased model.") help="Set this flag if you are using an uncased model.")
parser.add_argument("--train_batch_size", parser.add_argument("--train_batch_size",
@@ -366,7 +363,6 @@ def main():
help="Proportion of training to perform linear learning rate warmup for. " help="Proportion of training to perform linear learning rate warmup for. "
"E.g., 0.1 = 10%% of training.") "E.g., 0.1 = 10%% of training.")
parser.add_argument("--no_cuda", parser.add_argument("--no_cuda",
default=False,
action='store_true', action='store_true',
help="Whether not to use CUDA when available") help="Whether not to use CUDA when available")
parser.add_argument("--local_rank", parser.add_argument("--local_rank",
@@ -382,7 +378,6 @@ def main():
default=1, default=1,
help="Number of updates steps to accumulate before performing a backward/update pass.") help="Number of updates steps to accumulate before performing a backward/update pass.")
parser.add_argument('--fp16', parser.add_argument('--fp16',
default=False,
action='store_true', action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit") help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale', parser.add_argument('--loss_scale',

4
examples/run_lm_finetuning.py
View File

@@ -432,7 +432,6 @@ def main():
"Sequences longer than this will be truncated, and sequences shorter \n" "Sequences longer than this will be truncated, and sequences shorter \n"
"than this will be padded.") "than this will be padded.")
parser.add_argument("--do_train", parser.add_argument("--do_train",
default=False,
action='store_true', action='store_true',
help="Whether to run training.") help="Whether to run training.")
parser.add_argument("--train_batch_size", parser.add_argument("--train_batch_size",
@@ -457,11 +456,9 @@ def main():
help="Proportion of training to perform linear learning rate warmup for. " help="Proportion of training to perform linear learning rate warmup for. "
"E.g., 0.1 = 10%% of training.") "E.g., 0.1 = 10%% of training.")
parser.add_argument("--no_cuda", parser.add_argument("--no_cuda",
default=False,
action='store_true', action='store_true',
help="Whether not to use CUDA when available") help="Whether not to use CUDA when available")
parser.add_argument("--on_memory", parser.add_argument("--on_memory",
default=False,
action='store_true', action='store_true',
help="Whether to load train samples into memory or use disk") help="Whether to load train samples into memory or use disk")
parser.add_argument("--local_rank", parser.add_argument("--local_rank",
@@ -477,7 +474,6 @@ def main():
default=1, default=1,
help="Number of updates steps to accumualte before performing a backward/update pass.") help="Number of updates steps to accumualte before performing a backward/update pass.")
parser.add_argument('--fp16', parser.add_argument('--fp16',
default=False,
action='store_true', action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit") help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale', parser.add_argument('--loss_scale',

9
examples/run_squad.py
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@@ -698,8 +698,8 @@ def main():
parser.add_argument("--max_query_length", default=64, type=int, parser.add_argument("--max_query_length", default=64, type=int,
help="The maximum number of tokens for the question. Questions longer than this will " help="The maximum number of tokens for the question. Questions longer than this will "
"be truncated to this length.") "be truncated to this length.")
parser.add_argument("--do_train", default=False, action='store_true', help="Whether to run training.") parser.add_argument("--do_train", 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_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("--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("--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.") parser.add_argument("--learning_rate", default=5e-5, type=float, help="The initial learning rate for Adam.")
@@ -714,11 +714,10 @@ def main():
parser.add_argument("--max_answer_length", default=30, type=int, 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 " 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.") "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. " 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.") "A number of warnings are expected for a normal SQuAD evaluation.")
parser.add_argument("--no_cuda", parser.add_argument("--no_cuda",
default=False,
action='store_true', action='store_true',
help="Whether not to use CUDA when available") help="Whether not to use CUDA when available")
parser.add_argument('--seed', parser.add_argument('--seed',
@@ -730,7 +729,6 @@ def main():
default=1, default=1,
help="Number of updates steps to accumulate before performing a backward/update pass.") help="Number of updates steps to accumulate before performing a backward/update pass.")
parser.add_argument("--do_lower_case", parser.add_argument("--do_lower_case",
default=True,
action='store_true', action='store_true',
help="Whether to lower case the input text. True for uncased models, False for cased models.") help="Whether to lower case the input text. True for uncased models, False for cased models.")
parser.add_argument("--local_rank", parser.add_argument("--local_rank",
@@ -738,7 +736,6 @@ def main():
default=-1, default=-1,
help="local_rank for distributed training on gpus") help="local_rank for distributed training on gpus")
parser.add_argument('--fp16', parser.add_argument('--fp16',
default=False,
action='store_true', action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit") help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale', parser.add_argument('--loss_scale',

5
examples/run_swag.py
View File

@@ -265,15 +265,12 @@ def main():
"Sequences longer than this will be truncated, and sequences shorter \n" "Sequences longer than this will be truncated, and sequences shorter \n"
"than this will be padded.") "than this will be padded.")
parser.add_argument("--do_train", parser.add_argument("--do_train",
default=False,
action='store_true', action='store_true',
help="Whether to run training.") help="Whether to run training.")
parser.add_argument("--do_eval", parser.add_argument("--do_eval",
default=False,
action='store_true', action='store_true',
help="Whether to run eval on the dev set.") help="Whether to run eval on the dev set.")
parser.add_argument("--do_lower_case", parser.add_argument("--do_lower_case",
default=False,
action='store_true', action='store_true',
help="Set this flag if you are using an uncased model.") help="Set this flag if you are using an uncased model.")
parser.add_argument("--train_batch_size", parser.add_argument("--train_batch_size",
@@ -298,7 +295,6 @@ def main():
help="Proportion of training to perform linear learning rate warmup for. " help="Proportion of training to perform linear learning rate warmup for. "
"E.g., 0.1 = 10%% of training.") "E.g., 0.1 = 10%% of training.")
parser.add_argument("--no_cuda", parser.add_argument("--no_cuda",
default=False,
action='store_true', action='store_true',
help="Whether not to use CUDA when available") help="Whether not to use CUDA when available")
parser.add_argument("--local_rank", parser.add_argument("--local_rank",
@@ -314,7 +310,6 @@ def main():
default=1, default=1,
help="Number of updates steps to accumulate before performing a backward/update pass.") help="Number of updates steps to accumulate before performing a backward/update pass.")
parser.add_argument('--fp16', parser.add_argument('--fp16',
default=False,
action='store_true', action='store_true',
help="Whether to use 16-bit float precision instead of 32-bit") help="Whether to use 16-bit float precision instead of 32-bit")
parser.add_argument('--loss_scale', parser.add_argument('--loss_scale',