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嘉渊 2023-04-24 16:46:25 +08:00
parent d17d48935a
commit d5df169021
1 changed files with 73 additions and 73 deletions
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146
funasr/build_utils/build_args.py
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@ -10,80 +10,80 @@ from funasr.utils.types import str_or_none
def build_args(args, extra_task_params):
parser = argparse.ArgumentParser("Task related config")
if args.task_name == "asr":
from funasr.build_utils.build_asr_model import class_choices_list
for class_choices in class_choices_list:
class_choices.add_arguments(parser)
parser.add_argument(
"--split_with_space",
type=str2bool,
default=True,
help="whether to split text using <space>",
)
parser.add_argument(
"--seg_dict_file",
type=str,
default=None,
help="seg_dict_file for text processing",
)
parser.add_argument(
"--input_size",
type=int_or_none,
default=None,
help="The number of input dimension of the feature",
)
parser.add_argument(
"--ctc_conf",
action=NestedDictAction,
default=get_default_kwargs(CTC),
help="The keyword arguments for CTC class.",
)
parser.add_argument(
"--cmvn_file",
type=str_or_none,
default=None,
help="The file path of noise scp file.",
)
# if args.task_name == "asr":
from funasr.build_utils.build_asr_model import class_choices_list
for class_choices in class_choices_list:
class_choices.add_arguments(parser)
parser.add_argument(
"--split_with_space",
type=str2bool,
default=True,
help="whether to split text using <space>",
)
parser.add_argument(
"--seg_dict_file",
type=str,
default=None,
help="seg_dict_file for text processing",
)
parser.add_argument(
"--input_size",
type=int_or_none,
default=None,
help="The number of input dimension of the feature",
)
parser.add_argument(
"--ctc_conf",
action=NestedDictAction,
default=get_default_kwargs(CTC),
help="The keyword arguments for CTC class.",
)
parser.add_argument(
"--cmvn_file",
type=str_or_none,
default=None,
help="The file path of noise scp file.",
)
elif args.task_name == "pretrain":
from funasr.build_utils.build_pretrain_model import class_choices_list
for class_choices in class_choices_list:
class_choices.add_arguments(parser)
parser.add_argument(
"--input_size",
type=int_or_none,
default=None,
help="The number of input dimension of the feature",
)
elif args.task_name == "lm":
from funasr.build_utils.build_lm_model import class_choices_list
for class_choices in class_choices_list:
class_choices.add_arguments(parser)
elif args.task_name == "punc":
from funasr.build_utils.build_punc_model import class_choices_list
for class_choices in class_choices_list:
class_choices.add_arguments(parser)
elif args.task_name == "vad":
from funasr.build_utils.build_vad_model import class_choices_list
for class_choices in class_choices_list:
class_choices.add_arguments(parser)
parser.add_argument(
"--input_size",
type=int_or_none,
default=None,
help="The number of input dimension of the feature",
)
elif args.task_name == "diar":
from funasr.build_utils.build_diar_model import class_choices_list
for class_choices in class_choices_list:
class_choices.add_arguments(parser)
else:
raise NotImplementedError("Not supported task: {}".format(args.task_name))
# elif args.task_name == "pretrain":
# from funasr.build_utils.build_pretrain_model import class_choices_list
# for class_choices in class_choices_list:
# class_choices.add_arguments(parser)
# parser.add_argument(
# "--input_size",
# type=int_or_none,
# default=None,
# help="The number of input dimension of the feature",
# )
#
# elif args.task_name == "lm":
# from funasr.build_utils.build_lm_model import class_choices_list
# for class_choices in class_choices_list:
# class_choices.add_arguments(parser)
#
# elif args.task_name == "punc":
# from funasr.build_utils.build_punc_model import class_choices_list
# for class_choices in class_choices_list:
# class_choices.add_arguments(parser)
#
# elif args.task_name == "vad":
# from funasr.build_utils.build_vad_model import class_choices_list
# for class_choices in class_choices_list:
# class_choices.add_arguments(parser)
# parser.add_argument(
# "--input_size",
# type=int_or_none,
# default=None,
# help="The number of input dimension of the feature",
# )
#
# elif args.task_name == "diar":
# from funasr.build_utils.build_diar_model import class_choices_list
# for class_choices in class_choices_list:
# class_choices.add_arguments(parser)
#
# else:
# raise NotImplementedError("Not supported task: {}".format(args.task_name))
task_args = parser.parse_args(extra_task_params)
return task_args