From 6427c834dfd97b1f05c6659cdc7ccf010bf82fe1 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期一, 24 四月 2023 19:50:07 +0800
Subject: [PATCH] update
---
funasr/datasets/large_datasets/build_dataloader.py | 56 ++++++++++++++++++++++++++++++++++++++++++++------------
1 files changed, 44 insertions(+), 12 deletions(-)
diff --git a/funasr/datasets/large_datasets/build_dataloader.py b/funasr/datasets/large_datasets/build_dataloader.py
index 146723d..f1ec005 100644
--- a/funasr/datasets/large_datasets/build_dataloader.py
+++ b/funasr/datasets/large_datasets/build_dataloader.py
@@ -1,10 +1,16 @@
import logging
+from pathlib import Path
+from typing import Iterable
+from typing import List
+from typing import Union
-import yaml
-
+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
def read_symbol_table(symbol_table_file):
@@ -21,6 +27,7 @@
symbol_table[char] = i
return symbol_table
+
def load_seg_dict(seg_dict_file):
seg_dict = {}
assert isinstance(seg_dict_file, str)
@@ -33,17 +40,42 @@
seg_dict[key] = " ".join(value)
return seg_dict
-class ArkDataLoader(AbsIterFactory):
- def __init__(self, data_list, dict_file, dataset_conf, seg_dict_file=None, mode="train"):
- symbol_table = read_symbol_table(dict_file)
- if seg_dict_file is not None:
- seg_dict = load_seg_dict(seg_dict_file)
- else:
- seg_dict = None
- self.dataset_conf = dataset_conf
+
+class SentencepiecesTokenizer(AbsTokenizer):
+ def __init__(self, model: Union[Path, str]):
+ assert check_argument_types()
+ self.model = str(model)
+ self.sp = None
+
+ def __repr__(self):
+ return f'{self.__class__.__name__}(model="{self.model}")'
+
+ def _build_sentence_piece_processor(self):
+ if self.sp is None:
+ self.sp = spm.SentencePieceProcessor()
+ self.sp.load(self.model)
+
+ def text2tokens(self, line: str) -> List[str]:
+ self._build_sentence_piece_processor()
+ return self.sp.EncodeAsPieces(line)
+
+ def tokens2text(self, tokens: Iterable[str]) -> str:
+ self._build_sentence_piece_processor()
+ return self.sp.DecodePieces(list(tokens))
+
+
+class LargeDataLoader(AbsIterFactory):
+ def __init__(self, args, mode="train"):
+ symbol_table = read_symbol_table(args.token_list) if args.token_list is not None else None
+ seg_dict = load_seg_dict(args.seg_dict_file) if args.seg_dict_file is not None else None
+ punc_dict = load_seg_dict(args.punc_dict_file) if args.punc_dict_file is not None else None
+ bpe_tokenizer = load_seg_dict(args.bpemodel_file) if args.bpemodel_file is not None else None
+ self.dataset_conf = args.dataset_conf
+ self.frontend_conf = args.frontend_conf
logging.info("dataloader config: {}".format(self.dataset_conf))
- self.dataset = Dataset(data_list, symbol_table, seg_dict,
- self.dataset_conf, mode=mode)
+ batch_mode = self.dataset_conf.get("batch_mode", "padding")
+ self.dataset = Dataset(args.data_list, symbol_table, seg_dict, punc_dict, bpe_tokenizer,
+ self.dataset_conf, self.frontend_conf, mode=mode, batch_mode=batch_mode)
def build_iter(self, epoch, shuffle=True):
self.dataset.set_epoch(epoch)
--
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