From 9b4e9cc8a0311e5243d69b73ed073e7ea441982e Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期三, 27 三月 2024 16:05:29 +0800
Subject: [PATCH] train update
---
funasr/datasets/large_datasets/build_dataloader.py | 21 ++++++++++++---------
1 files changed, 12 insertions(+), 9 deletions(-)
diff --git a/funasr/datasets/large_datasets/build_dataloader.py b/funasr/datasets/large_datasets/build_dataloader.py
index 339292f..8a255f9 100644
--- a/funasr/datasets/large_datasets/build_dataloader.py
+++ b/funasr/datasets/large_datasets/build_dataloader.py
@@ -6,12 +6,12 @@
import sentencepiece as spm
from torch.utils.data import DataLoader
-from typeguard import check_argument_types
from funasr.datasets.large_datasets.dataset import Dataset
-from funasr.iterators.abs_iter_factory import AbsIterFactory
-from funasr.text.abs_tokenizer import AbsTokenizer
+from funasr.datasets.large_datasets.abs_iter_factory import AbsIterFactory
+from funasr.tokenizer.abs_tokenizer import AbsTokenizer
+from funasr.register import tables
def read_symbol_table(symbol_table_file):
if isinstance(symbol_table_file, str):
@@ -43,7 +43,6 @@
class SentencepiecesTokenizer(AbsTokenizer):
def __init__(self, model: Union[Path, str]):
- assert check_argument_types()
self.model = str(model)
self.sp = None
@@ -63,7 +62,7 @@
self._build_sentence_piece_processor()
return self.sp.DecodePieces(list(tokens))
-
+@tables.register("dataset_classes", "LargeDataset")
class LargeDataLoader(AbsIterFactory):
def __init__(self, args, mode="train"):
symbol_table, seg_dict, punc_dict, bpe_tokenizer = None, None, None, None
@@ -71,18 +70,22 @@
symbol_table = read_symbol_table(args.token_list)
if hasattr(args, "seg_dict_file") and args.seg_dict_file is not None:
seg_dict = load_seg_dict(args.seg_dict_file)
- if hasattr(args, "punc_dict_file") and args.punc_dict_file is not None:
- punc_dict = read_symbol_table(args.punc_dict_file)
+ if hasattr(args, "punc_list") and args.punc_list is not None:
+ punc_dict = read_symbol_table(args.punc_list)
if hasattr(args, "bpemodel") and args.bpemodel is not None:
bpe_tokenizer = SentencepiecesTokenizer(args.bpemodel)
self.dataset_conf = args.dataset_conf
- self.frontend_conf = args.frontend_conf
+ if "frontend_conf" not in args:
+ self.frontend_conf = None
+ else:
+ self.frontend_conf = args.frontend_conf
+ self.speed_perturb = args.speed_perturb if hasattr(args, "speed_perturb") else None
logging.info("dataloader config: {}".format(self.dataset_conf))
batch_mode = self.dataset_conf.get("batch_mode", "padding")
data_list = args.train_data_file if mode == "train" else args.valid_data_file
self.dataset = Dataset(data_list, symbol_table, seg_dict, punc_dict, bpe_tokenizer,
self.dataset_conf, self.frontend_conf,
- speed_perturb=args.speed_perturb if mode == "train" else None,
+ speed_perturb=self.speed_perturb if mode == "train" else None,
mode=mode, batch_mode=batch_mode)
def build_iter(self, epoch, shuffle=True):
--
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