File "./VITS-fast-fine-tuning/models.py", line 90, in forward
z = torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype) * noise_scale
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
这边训练完成后，想利用VC_inference.py 文件进行语音生成，错误如下
File "./VITS-fast-fine-tuning/models.py", line 90, in forward z = torch.randn(x.size(0), 2, x.size(2)).to(device=x.device, dtype=x.dtype) * noise_scale RuntimeError: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with
TORCH_USE_CUDA_DSAto enable device-side assertions.环境配置： absl-py 2.0.0 aiofiles 23.2.1 altair 5.1.2 annotated-types 0.6.0 antlr4-python3-runtime 4.9.3 anyio 3.7.1 attrs 23.1.0 audioread 3.0.1 backports.functools-lru-cache 1.6.6 cachetools 5.3.2 certifi 2023.7.22 cffi 1.16.0 charset-normalizer 3.3.2 click 8.1.7 cloudpickle 3.0.0 cn2an 0.5.22 colorama 0.4.6 contourpy 1.2.0 cycler 0.12.1 Cython 3.0.5 decorator 4.4.2 demucs 4.0.1 dora-search 0.1.12 einops 0.7.0 eng-to-ipa 0.0.2 exceptiongroup 1.1.3 fastapi 0.104.1 ffmpy 0.3.1 filelock 3.13.1 fonttools 4.44.0 fsspec 2023.10.0 google-auth 2.23.4 google-auth-oauthlib 1.1.0 gradio 3.48.0 gradio_client 0.6.1 grpcio 1.59.2 h11 0.14.0 httpcore 1.0.1 httpx 0.25.1 huggingface-hub 0.18.0 idna 3.4 imageio 2.31.6 imageio-ffmpeg 0.4.9 importlib-metadata 6.8.0 importlib-resources 6.1.0 indic-transliteration 2.3.37 inflect 7.0.0 jamo 0.4.1 jieba 0.42.1 Jinja2 3.1.2 joblib 1.3.2 jsonschema 4.19.2 jsonschema-specifications 2023.7.1 julius 0.2.7 kiwisolver 1.4.5 ko-pron 1.3 lameenc 1.6.3 librosa 0.9.2 llvmlite 0.41.1 Markdown 3.5.1 markdown-it-py 3.0.0 MarkupSafe 2.1.3 matplotlib 3.3.1 mdurl 0.1.2 more-itertools 10.1.0 moviepy 1.0.3 mpmath 1.3.0 networkx 3.2.1 num-thai 0.0.5 numba 0.58.1 numpy 1.26.1 nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.18.1 nvidia-nvjitlink-cu12 12.3.52 nvidia-nvtx-cu12 12.1.105 oauthlib 3.2.2 omegaconf 2.3.0 openai-whisper 20231117 OpenCC 1.1.1 openunmix 1.2.1 orjson 3.9.10 packaging 23.2 pandas 2.0.3 Pillow 10.0.1 pip 23.3.1 platformdirs 3.11.0 pooch 1.8.0 proces 0.1.7 proglog 0.1.10 protobuf 4.23.4 pyasn1 0.5.0 pyasn1-modules 0.3.0 pycparser 2.21 pydantic 1.10.4 pydantic_core 2.10.1 pydub 0.25.1 Pygments 2.16.1 pyopenjtalk-prebuilt 0.3.0 pyparsing 3.1.1 pypinyin 0.49.0 python-dateutil 2.8.2 python-multipart 0.0.6 pytz 2023.3.post1 PyYAML 6.0.1 pyzmq 25.1.1 referencing 0.30.2 regex 2023.10.3 requests 2.31.0 requests-oauthlib 1.3.1 resampy 0.4.2 retrying 1.3.4 rich 13.6.0 roman 4.1 rpds-py 0.12.0 rsa 4.9 scikit-learn 1.0.2 scipy 1.11.3 semantic-version 2.10.0 setuptools 68.0.0 shellingham 1.5.4 six 1.16.0 sniffio 1.3.0 soundfile 0.12.1 starlette 0.27.0 submitit 1.5.0 sympy 1.12 tensorboard 2.15.1 tensorboard-data-server 0.7.2 threadpoolctl 3.2.0 tiktoken 0.5.1 toml 0.10.2 tomlkit 0.12.0 toolz 0.12.0 torch 2.1.0 torchaudio 2.1.0 torchvision 0.16.0 tqdm 4.66.1 treetable 0.2.5 triton 2.1.0 typer 0.9.0 typing_extensions 4.8.0 tzdata 2023.3 Unidecode 1.3.7 urllib3 2.0.7 uvicorn 0.24.0 websockets 11.0.3 Werkzeug 3.0.1 wheel 0.41.2 youtube-dl 2021.12.17 zipp 3.17.0