From a6047c2610ae145ca2460ec25263b611fe441dfc Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期三, 26 四月 2023 10:44:21 +0800
Subject: [PATCH] update
---
funasr/bin/asr_test.py | 226 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 226 insertions(+), 0 deletions(-)
diff --git a/funasr/bin/asr_test.py b/funasr/bin/asr_test.py
new file mode 100644
index 0000000..389bd22
--- /dev/null
+++ b/funasr/bin/asr_test.py
@@ -0,0 +1,226 @@
+import argparse
+import logging
+import os
+import sys
+
+from funasr.utils import config_argparse
+from funasr.utils.cli_utils import get_commandline_args
+from funasr.utils.types import str2bool
+from funasr.utils.types import str2triple_str
+from funasr.utils.types import str_or_none
+
+
+def get_parser():
+ parser = config_argparse.ArgumentParser(
+ description="ASR Decoding",
+ formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+ )
+
+ # Note(kamo): Use '_' instead of '-' as separator.
+ # '-' is confusing if written in yaml.
+ parser.add_argument(
+ "--log_level",
+ type=lambda x: x.upper(),
+ default="INFO",
+ choices=("CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG", "NOTSET"),
+ help="The verbose level of logging",
+ )
+
+ parser.add_argument("--output_dir", type=str, required=True)
+ parser.add_argument(
+ "--ngpu",
+ type=int,
+ default=0,
+ help="The number of gpus. 0 indicates CPU mode",
+ )
+ parser.add_argument(
+ "--njob",
+ type=int,
+ default=1,
+ help="The number of jobs for each gpu",
+ )
+ parser.add_argument(
+ "--gpuid_list",
+ type=str,
+ default="",
+ help="The visible gpus",
+ )
+ parser.add_argument("--seed", type=int, default=0, help="Random seed")
+ parser.add_argument(
+ "--dtype",
+ default="float32",
+ choices=["float16", "float32", "float64"],
+ help="Data type",
+ )
+ parser.add_argument(
+ "--num_workers",
+ type=int,
+ default=1,
+ help="The number of workers used for DataLoader",
+ )
+
+ group = parser.add_argument_group("Input data related")
+ group.add_argument(
+ "--data_path_and_name_and_type",
+ type=str2triple_str,
+ required=True,
+ action="append",
+ )
+ group.add_argument("--key_file", type=str_or_none)
+ group.add_argument("--allow_variable_data_keys", type=str2bool, default=False)
+
+ group = parser.add_argument_group("The model configuration related")
+ group.add_argument(
+ "--vad_infer_config",
+ type=str,
+ help="VAD infer configuration",
+ )
+ group.add_argument(
+ "--vad_model_file",
+ type=str,
+ help="VAD model parameter file",
+ )
+ group.add_argument(
+ "--cmvn_file",
+ type=str,
+ help="Global CMVN file",
+ )
+ group.add_argument(
+ "--asr_train_config",
+ type=str,
+ help="ASR training configuration",
+ )
+ group.add_argument(
+ "--asr_model_file",
+ type=str,
+ help="ASR model parameter file",
+ )
+ group.add_argument(
+ "--lm_train_config",
+ type=str,
+ help="LM training configuration",
+ )
+ group.add_argument(
+ "--lm_file",
+ type=str,
+ help="LM parameter file",
+ )
+ group.add_argument(
+ "--word_lm_train_config",
+ type=str,
+ help="Word LM training configuration",
+ )
+ group.add_argument(
+ "--word_lm_file",
+ type=str,
+ help="Word LM parameter file",
+ )
+ group.add_argument(
+ "--ngram_file",
+ type=str,
+ help="N-gram parameter file",
+ )
+ group.add_argument(
+ "--model_tag",
+ type=str,
+ help="Pretrained model tag. If specify this option, *_train_config and "
+ "*_file will be overwritten",
+ )
+
+ group = parser.add_argument_group("Beam-search related")
+ group.add_argument(
+ "--batch_size",
+ type=int,
+ default=1,
+ help="The batch size for inference",
+ )
+ group.add_argument("--nbest", type=int, default=5, help="Output N-best hypotheses")
+ group.add_argument("--beam_size", type=int, default=20, help="Beam size")
+ group.add_argument("--penalty", type=float, default=0.0, help="Insertion penalty")
+ group.add_argument(
+ "--maxlenratio",
+ type=float,
+ default=0.0,
+ help="Input length ratio to obtain max output length. "
+ "If maxlenratio=0.0 (default), it uses a end-detect "
+ "function "
+ "to automatically find maximum hypothesis lengths."
+ "If maxlenratio<0.0, its absolute value is interpreted"
+ "as a constant max output length",
+ )
+ group.add_argument(
+ "--minlenratio",
+ type=float,
+ default=0.0,
+ help="Input length ratio to obtain min output length",
+ )
+ group.add_argument(
+ "--ctc_weight",
+ type=float,
+ default=0.0,
+ help="CTC weight in joint decoding",
+ )
+ group.add_argument("--lm_weight", type=float, default=1.0, help="RNNLM weight")
+ group.add_argument("--ngram_weight", type=float, default=0.9, help="ngram weight")
+ group.add_argument("--streaming", type=str2bool, default=False)
+
+ group = parser.add_argument_group("Text converter related")
+ group.add_argument(
+ "--token_type",
+ type=str_or_none,
+ default=None,
+ choices=["char", "bpe", None],
+ help="The token type for ASR model. "
+ "If not given, refers from the training args",
+ )
+ group.add_argument(
+ "--bpemodel",
+ type=str_or_none,
+ default=None,
+ help="The model path of sentencepiece. "
+ "If not given, refers from the training args",
+ )
+ group.add_argument("--token_num_relax", type=int, default=1, help="")
+ group.add_argument("--decoding_ind", type=int, default=0, help="")
+ group.add_argument("--decoding_mode", type=str, default="model1", help="")
+ group.add_argument(
+ "--ctc_weight2",
+ type=float,
+ default=0.0,
+ help="CTC weight in joint decoding",
+ )
+ return parser
+
+
+def main(cmd=None):
+ print(get_commandline_args(), file=sys.stderr)
+ parser = get_parser()
+ parser.add_argument(
+ "--mode",
+ type=str,
+ default="asr",
+ help="The decoding mode",
+ )
+ args = parser.parse_args(cmd)
+ kwargs = vars(args)
+ kwargs.pop("config", None)
+
+ # set logging messages
+ logging.basicConfig(
+ level=args.log_level,
+ format="%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s",
+ )
+ logging.info("Decoding args: {}".format(kwargs))
+
+ # gpu setting
+ if args.ngpu > 0:
+ jobid = int(args.output_dir.split(".")[-1])
+ gpuid = args.gpuid_list.split(",")[(jobid - 1) // args.njob]
+ os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
+ os.environ["CUDA_VISIBLE_DEVICES"] = gpuid
+
+ # inference_launch_funasr(**kwargs)
+
+
+if __name__ == "__main__":
+ main()
--
Gitblit v1.9.1