From 4137f5cf26e7c4b40853959cd2574edfde03aa60 Mon Sep 17 00:00:00 2001
From: 志浩 <neo.dzh@alibaba-inc.com>
Date: 星期五, 07 四月 2023 21:03:34 +0800
Subject: [PATCH] Merge branch 'main' of github.com:alibaba-damo-academy/FunASR into dev_dzh

---
 funasr/datasets/large_datasets/build_dataloader.py |   44 ++++++++++++++++++++++++++++++++++++++++----
 1 files changed, 40 insertions(+), 4 deletions(-)

diff --git a/funasr/datasets/large_datasets/build_dataloader.py b/funasr/datasets/large_datasets/build_dataloader.py
index 0ad1889..156f608 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)
@@ -33,8 +40,33 @@
             seg_dict[key] = " ".join(value)
     return seg_dict
 
+
+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 ArkDataLoader(AbsIterFactory):
-    def __init__(self, data_list, dict_file, dataset_conf, frontend_conf=None, seg_dict_file=None, punc_dict_file=None, mode="train"):
+    def __init__(self, data_list, dict_file, dataset_conf, frontend_conf=None, seg_dict_file=None, punc_dict_file=None,
+                 bpemodel_file=None, mode="train"):
         symbol_table = read_symbol_table(dict_file) if dict_file is not None else None
         if seg_dict_file is not None:
             seg_dict = load_seg_dict(seg_dict_file)
@@ -48,7 +80,11 @@
         self.frontend_conf = frontend_conf
         logging.info("dataloader config: {}".format(self.dataset_conf))
         batch_mode = self.dataset_conf.get("batch_mode", "padding")
-        self.dataset = Dataset(data_list, symbol_table, seg_dict, punc_dict,
+        if bpemodel_file is not None:
+            bpe_tokenizer = SentencepiecesTokenizer(bpemodel_file)
+        else:
+            bpe_tokenizer = None
+        self.dataset = Dataset(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):

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