Comments (1)
"Fixed" by #2456, but if we actually want to keep support for Python 3.8 we should actually just support it again officially and update the CI tests for it..
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Related Issues (20)
- Tacotron2.decoder.infer behaves incorrectly HOT 2
- Can't reproduce pretraining results for Wav2vec2 using LibriSpeech recipe HOT 9
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 2
- not able to import 'HuggingFaceWhisper' from speechbrain.lobes.models.huggingface_whisper HOT 7
- Adapters + LLama -- re-design. HOT 6
- Torch 2.3 breaks DDP? HOT 7
- Training twice as long with Torch > 1.11 HOT 10
- Training regression for Conformer-Transducer models HOT 2
- Math Domain Error in Pretraining tutorial. HOT 1
- Typing syntax not supported in 3.7/3.8 HOT 8
- Potential `SpectrogramDrop` bugs HOT 1
- dtype mismatch in AttentiveStatisticsPooling with FP16 training mode HOT 1
- Task ASR Reported: Caught ZeroDivisionError in DataLoader worker process 0. HOT 4
- Huggingface-Aishell get wrong prediction HOT 5
- AMD ROCm: Conformer-transducer diverges HOT 2
- AMD ROCm: `torch.backends.cudnn.benchmark` should be set to `False` by default on ROCm
- Wav2Vec2WordpieceTokenizer' object has no attribute '_create_trie' HOT 2
- Same result for different samples (with same name) using speech separation HOT 1
- Cannot reproduce the result in speech translation HOT 6
- [Bug] RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument mat1 in method wrapper_CUDA_addmm) HOT 1
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