mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
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d3b8f7e09e
This commit migrates the project from using NVIDIA CUDA to Intel XPU for GPU acceleration, based on the PyTorch 2.9 release. Key changes include: - Replaced `torch.cuda` with `torch.xpu` for device checks, memory management, and distributed training. - Updated device strings from "cuda" to "xpu" across the codebase. - Switched the distributed training backend from "nccl" to "ccl" for Intel GPUs. - Disabled custom CUDA kernels in the `BigVGAN` module by setting `use_cuda_kernel=False`. - Updated `requirements.txt` to include `torch==2.9` and `intel-extension-for-pytorch`. - Modified CI/CD pipelines and build scripts to remove CUDA dependencies and build for an XPU target.
49 lines
786 B
Plaintext
49 lines
786 B
Plaintext
--no-binary=opencc
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numpy<2.0
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scipy
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tensorboard
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librosa==0.10.2
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numba
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pytorch-lightning>=2.4
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torch==2.9
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intel-extension-for-pytorch
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torchvision
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gradio<5
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ffmpeg-python
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onnxruntime; platform_machine == "aarch64" or platform_machine == "arm64"
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onnxruntime-gpu; platform_machine == "x86_64" or platform_machine == "AMD64"
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tqdm
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funasr==1.0.27
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cn2an
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pypinyin
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pyopenjtalk>=0.4.1
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g2p_en
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torchaudio
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modelscope==1.10.0
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sentencepiece
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transformers>=4.43,<=4.50
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peft
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chardet
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PyYAML
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psutil
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jieba_fast
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jieba
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split-lang
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fast_langdetect>=0.3.1
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wordsegment
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rotary_embedding_torch
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ToJyutping
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g2pk2
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ko_pron
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opencc
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python_mecab_ko; sys_platform != 'win32'
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fastapi[standard]>=0.115.2
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x_transformers
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torchmetrics<=1.5
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pydantic<=2.10.6
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ctranslate2>=4.0,<5
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huggingface_hub>=0.13
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tokenizers>=0.13,<1
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av>=11
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tqdm
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