diff --git a/egs/aidatatang_200zh/ASR/pruned_transducer_stateless2/asr_datamodule.py b/egs/aidatatang_200zh/ASR/pruned_transducer_stateless2/asr_datamodule.py index 167d5e15e..49a697bfd 100644 --- a/egs/aidatatang_200zh/ASR/pruned_transducer_stateless2/asr_datamodule.py +++ b/egs/aidatatang_200zh/ASR/pruned_transducer_stateless2/asr_datamodule.py @@ -37,7 +37,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -291,8 +291,8 @@ class Aidatatang_200zhAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/aishell/ASR/tdnn_lstm_ctc/asr_datamodule.py b/egs/aishell/ASR/tdnn_lstm_ctc/asr_datamodule.py index efb32336a..180930747 100644 --- a/egs/aishell/ASR/tdnn_lstm_ctc/asr_datamodule.py +++ b/egs/aishell/ASR/tdnn_lstm_ctc/asr_datamodule.py @@ -30,7 +30,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -278,8 +278,8 @@ class AishellAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/aishell2/ASR/pruned_transducer_stateless5/asr_datamodule.py b/egs/aishell2/ASR/pruned_transducer_stateless5/asr_datamodule.py index 0f383a244..af37cc175 100644 --- a/egs/aishell2/ASR/pruned_transducer_stateless5/asr_datamodule.py +++ b/egs/aishell2/ASR/pruned_transducer_stateless5/asr_datamodule.py @@ -31,7 +31,7 @@ from lhotse.dataset import ( # noqa F401 for PrecomputedFeatures DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import ( # noqa F401 For AudioSamples @@ -299,8 +299,8 @@ class AiShell2AsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/aishell4/ASR/pruned_transducer_stateless5/asr_datamodule.py b/egs/aishell4/ASR/pruned_transducer_stateless5/asr_datamodule.py index d980a857f..da9da371e 100644 --- a/egs/aishell4/ASR/pruned_transducer_stateless5/asr_datamodule.py +++ b/egs/aishell4/ASR/pruned_transducer_stateless5/asr_datamodule.py @@ -30,7 +30,7 @@ from lhotse.dataset import ( # noqa F401 for PrecomputedFeatures DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import ( # noqa F401 for AudioSamples @@ -310,8 +310,8 @@ class Aishell4AsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/alimeeting/ASR/pruned_transducer_stateless2/asr_datamodule.py b/egs/alimeeting/ASR/pruned_transducer_stateless2/asr_datamodule.py index a9a4675a9..4799da19d 100644 --- a/egs/alimeeting/ASR/pruned_transducer_stateless2/asr_datamodule.py +++ b/egs/alimeeting/ASR/pruned_transducer_stateless2/asr_datamodule.py @@ -37,7 +37,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -292,8 +292,8 @@ class AlimeetingAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/ami/SURT/dprnn_zipformer/asr_datamodule.py b/egs/ami/SURT/dprnn_zipformer/asr_datamodule.py index ec8106bc3..3dd786d33 100644 --- a/egs/ami/SURT/dprnn_zipformer/asr_datamodule.py +++ b/egs/ami/SURT/dprnn_zipformer/asr_datamodule.py @@ -257,7 +257,7 @@ class AmiAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") + logging.info("Using SimpleCutSampler.") train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, diff --git a/egs/commonvoice/ASR/pruned_transducer_stateless7/asr_datamodule.py b/egs/commonvoice/ASR/pruned_transducer_stateless7/asr_datamodule.py index 2c37244a4..73f2f1dce 100644 --- a/egs/commonvoice/ASR/pruned_transducer_stateless7/asr_datamodule.py +++ b/egs/commonvoice/ASR/pruned_transducer_stateless7/asr_datamodule.py @@ -30,7 +30,7 @@ from lhotse.dataset import ( # noqa F401 for PrecomputedFeatures DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import ( # noqa F401 For AudioSamples @@ -311,8 +311,8 @@ class CommonVoiceAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/csj/ASR/local/utils/asr_datamodule.py b/egs/csj/ASR/local/utils/asr_datamodule.py index 619820a75..272486227 100644 --- a/egs/csj/ASR/local/utils/asr_datamodule.py +++ b/egs/csj/ASR/local/utils/asr_datamodule.py @@ -31,7 +31,7 @@ from lhotse.dataset import ( # noqa F401 for PrecomputedFeatures DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import ( # noqa F401 For AudioSamples @@ -339,8 +339,8 @@ class CSJAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/gigaspeech/ASR/conformer_ctc/asr_datamodule.py b/egs/gigaspeech/ASR/conformer_ctc/asr_datamodule.py index 9437c935c..9d6e3c42a 100644 --- a/egs/gigaspeech/ASR/conformer_ctc/asr_datamodule.py +++ b/egs/gigaspeech/ASR/conformer_ctc/asr_datamodule.py @@ -27,7 +27,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -264,8 +264,8 @@ class GigaSpeechAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/gigaspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py b/egs/gigaspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py index 4d5d2b8f9..29e72b408 100644 --- a/egs/gigaspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py +++ b/egs/gigaspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py @@ -30,7 +30,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -297,8 +297,8 @@ class GigaSpeechAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/libricss/SURT/dprnn_zipformer/asr_datamodule.py b/egs/libricss/SURT/dprnn_zipformer/asr_datamodule.py index 51df91598..a72df89e0 100644 --- a/egs/libricss/SURT/dprnn_zipformer/asr_datamodule.py +++ b/egs/libricss/SURT/dprnn_zipformer/asr_datamodule.py @@ -259,7 +259,7 @@ class LibriCssAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") + logging.info("Using SimpleCutSampler.") train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, diff --git a/egs/librispeech/ASR/pruned2_knowledge/asr_datamodule.py b/egs/librispeech/ASR/pruned2_knowledge/asr_datamodule.py index b839a4a4c..f8f558ce1 100644 --- a/egs/librispeech/ASR/pruned2_knowledge/asr_datamodule.py +++ b/egs/librispeech/ASR/pruned2_knowledge/asr_datamodule.py @@ -31,7 +31,7 @@ from lhotse.dataset import ( CutMix, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -290,8 +290,8 @@ class LibriSpeechAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/librispeech/ASR/pruned_transducer_stateless7/gigaspeech.py b/egs/librispeech/ASR/pruned_transducer_stateless7/gigaspeech.py index 5c01d7190..75e153cb0 100644 --- a/egs/librispeech/ASR/pruned_transducer_stateless7/gigaspeech.py +++ b/egs/librispeech/ASR/pruned_transducer_stateless7/gigaspeech.py @@ -30,7 +30,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -297,8 +297,8 @@ class GigaSpeechAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py index c47964b07..20df469da 100644 --- a/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py +++ b/egs/librispeech/ASR/tdnn_lstm_ctc/asr_datamodule.py @@ -31,7 +31,7 @@ from lhotse.dataset import ( # noqa F401 for PrecomputedFeatures DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import ( # noqa F401 For AudioSamples @@ -314,8 +314,8 @@ class LibriSpeechAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/mgb2/ASR/conformer_ctc/asr_datamodule.py b/egs/mgb2/ASR/conformer_ctc/asr_datamodule.py index 8242e986d..442ff85c2 100644 --- a/egs/mgb2/ASR/conformer_ctc/asr_datamodule.py +++ b/egs/mgb2/ASR/conformer_ctc/asr_datamodule.py @@ -17,7 +17,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -270,8 +270,8 @@ class MGB2AsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/multi_zh-hans/ASR/zipformer/asr_datamodule.py b/egs/multi_zh-hans/ASR/zipformer/asr_datamodule.py index b1b7bff93..3d58ebf3a 100644 --- a/egs/multi_zh-hans/ASR/zipformer/asr_datamodule.py +++ b/egs/multi_zh-hans/ASR/zipformer/asr_datamodule.py @@ -31,7 +31,7 @@ from lhotse.dataset import ( # noqa F401 for PrecomputedFeatures DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import ( # noqa F401 For AudioSamples @@ -300,8 +300,8 @@ class AsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/tal_csasr/ASR/pruned_transducer_stateless5/asr_datamodule.py b/egs/tal_csasr/ASR/pruned_transducer_stateless5/asr_datamodule.py index 2240c1c1d..39beffdcf 100644 --- a/egs/tal_csasr/ASR/pruned_transducer_stateless5/asr_datamodule.py +++ b/egs/tal_csasr/ASR/pruned_transducer_stateless5/asr_datamodule.py @@ -30,7 +30,7 @@ from lhotse.dataset import ( # noqa F401 for PrecomputedFeatures DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import ( # noqa F401 for AudioSamples @@ -311,8 +311,8 @@ class TAL_CSASRAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/tedlium3/ASR/transducer_stateless/asr_datamodule.py b/egs/tedlium3/ASR/transducer_stateless/asr_datamodule.py index c647392f0..28d0d3826 100644 --- a/egs/tedlium3/ASR/transducer_stateless/asr_datamodule.py +++ b/egs/tedlium3/ASR/transducer_stateless/asr_datamodule.py @@ -28,7 +28,7 @@ from lhotse.dataset import ( CutMix, DynamicBucketingSampler, K2SpeechRecognitionDataset, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -259,8 +259,8 @@ class TedLiumAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, @@ -282,7 +282,6 @@ class TedLiumAsrDataModule: return train_dl def valid_dataloaders(self, cuts_valid: CutSet) -> DataLoader: - transforms = [] if self.args.concatenate_cuts: transforms = [ @@ -322,7 +321,6 @@ class TedLiumAsrDataModule: return valid_dl def test_dataloaders(self, cuts_test: CutSet) -> DataLoader: - logging.debug("About to create test dataset") if self.args.on_the_fly_feats: test = K2SpeechRecognitionDataset( diff --git a/egs/timit/ASR/tdnn_lstm_ctc/asr_datamodule.py b/egs/timit/ASR/tdnn_lstm_ctc/asr_datamodule.py index 51ca4cc6e..7c299d601 100644 --- a/egs/timit/ASR/tdnn_lstm_ctc/asr_datamodule.py +++ b/egs/timit/ASR/tdnn_lstm_ctc/asr_datamodule.py @@ -30,7 +30,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -225,8 +225,8 @@ class TimitAsrDataModule(DataModule): drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, @@ -267,7 +267,7 @@ class TimitAsrDataModule(DataModule): cut_transforms=transforms, return_cuts=self.args.return_cuts, ) - valid_sampler = SingleCutSampler( + valid_sampler = SimpleCutSampler( cuts_valid, max_duration=self.args.max_duration, shuffle=False, @@ -298,7 +298,7 @@ class TimitAsrDataModule(DataModule): else PrecomputedFeatures(), return_cuts=self.args.return_cuts, ) - sampler = SingleCutSampler(cuts_test, max_duration=self.args.max_duration) + sampler = SimpleCutSampler(cuts_test, max_duration=self.args.max_duration) logging.debug("About to create test dataloader") test_dl = DataLoader(test, batch_size=None, sampler=sampler, num_workers=1) test_loaders.append(test_dl) diff --git a/egs/wenetspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py b/egs/wenetspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py index 746b212ff..c5967f10a 100644 --- a/egs/wenetspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py +++ b/egs/wenetspeech/ASR/pruned_transducer_stateless2/asr_datamodule.py @@ -37,7 +37,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures @@ -296,8 +296,8 @@ class WenetSpeechAsrDataModule: drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/xbmu_amdo31/ASR/pruned_transducer_stateless5/asr_datamodule.py b/egs/xbmu_amdo31/ASR/pruned_transducer_stateless5/asr_datamodule.py index 55d5f4636..6362ab7cd 100644 --- a/egs/xbmu_amdo31/ASR/pruned_transducer_stateless5/asr_datamodule.py +++ b/egs/xbmu_amdo31/ASR/pruned_transducer_stateless5/asr_datamodule.py @@ -32,7 +32,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, SpecAugment, ) from lhotse.dataset.input_strategies import AudioSamples # noqa F401 For AudioSamples @@ -299,8 +299,8 @@ class Xbmu_AmdoAsrDataModule: drop_last=self.args.drop_last, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/egs/yesno/ASR/tdnn/asr_datamodule.py b/egs/yesno/ASR/tdnn/asr_datamodule.py index ada8c1a6c..dc66b217d 100644 --- a/egs/yesno/ASR/tdnn/asr_datamodule.py +++ b/egs/yesno/ASR/tdnn/asr_datamodule.py @@ -26,7 +26,7 @@ from lhotse.dataset import ( DynamicBucketingSampler, K2SpeechRecognitionDataset, PrecomputedFeatures, - SingleCutSampler, + SimpleCutSampler, ) from lhotse.dataset.input_strategies import OnTheFlyFeatures from torch.utils.data import DataLoader @@ -196,8 +196,8 @@ class YesNoAsrDataModule(DataModule): drop_last=True, ) else: - logging.info("Using SingleCutSampler.") - train_sampler = SingleCutSampler( + logging.info("Using SimpleCutSampler.") + train_sampler = SimpleCutSampler( cuts_train, max_duration=self.args.max_duration, shuffle=self.args.shuffle, diff --git a/requirements-ci.txt b/requirements-ci.txt index 21d33001c..2433e190b 100644 --- a/requirements-ci.txt +++ b/requirements-ci.txt @@ -10,6 +10,7 @@ graphviz==0.19.1 -f https://download.pytorch.org/whl/cpu/torch_stable.html torch==1.13.1+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html torchaudio==0.13.1+cpu +six -f https://k2-fsa.org/nightly/ k2==1.23.4.dev20230319+cpu.torch1.13.1 diff --git a/test/test_ali.py b/test/test_ali.py index b107a6d80..d607e40aa 100755 --- a/test/test_ali.py +++ b/test/test_ali.py @@ -26,7 +26,7 @@ from pathlib import Path from lhotse import CutSet, load_manifest -from lhotse.dataset import K2SpeechRecognitionDataset, SingleCutSampler +from lhotse.dataset import K2SpeechRecognitionDataset, SimpleCutSampler from lhotse.dataset.collation import collate_custom_field from torch.utils.data import DataLoader @@ -44,7 +44,7 @@ def get_dataloader(): cuts = load_manifest(cuts_json) print(cuts[0]) cuts = cuts.with_features_path_prefix(egs_dir) - sampler = SingleCutSampler( + sampler = SimpleCutSampler( cuts, max_duration=10, shuffle=False,