下断点，看它读取 tar 文件为什么出错。前面低版本是不读 tar 文件的

examples/asr/asr_eou/speech_to_text_rnnt_eou_train.py

@@ -355,19 +355,20 @@ if __name__ == '__main__':
     sys.argv.extend([
         '--config-path', '../conf/asr_eou/',
         '--config-name', 'fastconformer_transducer_bpe_streaming_large',
-        'exp_manager.name=NeMo_Ja_FastConformer_Transducer_EOU',
+        'exp_manager.name=NeMo_Ja_FastConformer_Transducer_RNNT_EOU',
         'exp_manager.resume_if_exists=true',
         'exp_manager.resume_ignore_no_checkpoint=true',
         'exp_manager.exp_dir=results/',
         'exp_manager.checkpoint_callback_params.save_top_k=1',
         '++trainer.check_val_every_n_epoch=350',
         '++model.encoder.conv_norm_type=layer_norm',
-        'model.tokenizer.dir=data/common_voice_11_0/ja/tokenizers/tokenizer_spe_bpe_v2491',
+        'model.tokenizer.dir=data/common_voice_11_0/ja/tokenizers/tokenizer_spe_bpe_v2491_eou',
         'model.train_ds.tarred_audio_filepaths=data/common_voice_11_0/ja/train_tarred_1bk/audio__OP_0..1023_CL_.tar',
-        'model.train_ds.is_tarred=true',
+        '++model.train_ds.is_tarred=true',
         '++model.train_ds.tarred_dataset_resolve_paths=false',
         '++model.train_ds.is_tarred_audio=true',
         'model.train_ds.manifest_filepath=data/common_voice_11_0/ja/train_tarred_1bk/tarred_audio_manifest.json',
+        '~model.train_ds.augmentor.noise',
         'model.validation_ds.manifest_filepath=data/common_voice_11_0/ja/validation/validation_common_voice_11_0_manifest.json',
         'model.test_ds.manifest_filepath=data/common_voice_11_0/ja/test/test_common_voice_11_0_manifest.json',
         'trainer.max_epochs=350',

readme.txt

@@ -261,6 +261,15 @@ TODO:
     把 C:\Users\o\.conda\envs\NeMo\Lib\site-packages\nemo 移动本项目来，去掉依赖
 
 
+python scripts/asr_eou/tokenizers/add_special_tokens_to_sentencepiece.py -i data/common_voice_11_0/ja/tokenizers/tokenizer_spe_bpe_v2491/tokenizer.model -o data/common_voice_11_0/ja/tokenizers/tokenizer_spe_bpe_v2491_eou
+    tokenizers 需要加特殊标记 
+
+TODO:
+    nemo\collections\common\data\lhotse\nemo_adapters.py
+        def _iter_sequential(
+                self, tar_path, shard_manifest, manifest_path, rng
+            ) -> Generator[tuple[list[dict], bytes, tarfile.TarInfo, str], None, None]:
+        下断点，看它读取 tar 文件为什么出错。前面低版本是不读 tar 文件的
 
 
 它是不是真的流式输入，流式输出，为什么它是一下子打印全部结果，而不是边推理边输出部分结果 `examples\asr\asr_cache_aware_streaming\speech_to_text_cache_aware_streaming_infer.py`