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)
- 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
- pip install --editable . didn't run in VS code HOT 3
- SoundChoice G2P seems to be broken HOT 1
- Couldn't find appropriate backend to handle uri example.wav and format None. HOT 3
- Should not include punctuation in the G2P samples ? HOT 1
- Valid Loss Increasing While Train Loss Decreases Using Custom Training Data with Speaker ID
- `compute_STFT` performs HtoD transfer at every `forward` call HOT 1
- Multi-GPU issue when pre-training Wav2Vec2 HOT 3
- Repeat the execution of convert_split? HOT 1
- Kmeans .fit() should be changed to .partial_fit() HOT 1
- Pre-v1.0 models with `TransformerASR` `causal=True` (the default) are broken in v1.0 HOT 2
- Improve HF tests HOT 2
- Recipe tests generate a lot of clutter that is not `.gitignore`d
- readthedocs building fails due to fairseq
- readthedocs doesn't trigger automatically anymore HOT 2
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