Fabio
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37 lines
2.1 KiB
Markdown
37 lines
2.1 KiB
Markdown
# audio.cpp HIP/ROCm test prebuilt
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This is an experimental test build. Requires a supported AMD GPU, a compatible
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driver and the ROCm SDK @ROCM_VERSION@ runtime libraries. Linux requires Ubuntu
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24.04 or newer and an AVX2/FMA/F16C-capable x64 CPU. Windows selects a CPU
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implementation at runtime. `BUILD.json` lists the compiled GPU architectures
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and exact source revision. Download models separately from audio-cpp on Hugging Face.
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Install the matching runtime below, or use an existing matching ROCm SDK
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installation. The commands select Strix Halo (`device-gfx1151`); replace that
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extra with your GPU's [device extra](https://github.com/ROCm/TheRock/blob/main/RELEASES.md#supported-python-device--install-extras).
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The device package supplies the required BLAS GPU kernels.
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Linux, after extracting the archive (install `python3-venv` if needed):
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```sh
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python3 -m venv rocm-runtime
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rocm-runtime/bin/python -m pip install --index-url https://stable.repo.amd.com/rocm/whl-next/ 'rocm[libraries,device-gfx1151]==@ROCM_VERSION@'
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export LD_LIBRARY_PATH="$(rocm-runtime/bin/python -c 'import os,rocm_sdk; print(os.pathsep.join(dict.fromkeys(str(p.parent) for p in rocm_sdk.find_libraries("amdhip64","hipblas","hipblaslt"))))'):${LD_LIBRARY_PATH:-}"
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./audiocpp_cli --list-devices
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./audiocpp_server --ui --ui-management --backend hip
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```
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Windows PowerShell, after extracting the ZIP:
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```powershell
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py -3 -m venv rocm-runtime
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.\rocm-runtime\Scripts\python.exe -m pip install --index-url https://stable.repo.amd.com/rocm/whl-next/ 'rocm[libraries,device-gfx1151]==@ROCM_VERSION@'
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$rocm = & .\rocm-runtime\Scripts\python.exe -c "import os,rocm_sdk; print(os.pathsep.join(dict.fromkeys(str(p.parent) for p in rocm_sdk.find_libraries('amdhip64','hipblas','hipblaslt'))))"
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$env:PATH = "$rocm;$env:PATH"
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.\audiocpp_cli.exe --list-devices
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.\audiocpp_server.exe --ui --ui-management --backend hip
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```
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Open the UI at http://127.0.0.1:8080. Keep the shared libraries beside the
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executables. The native model manager and built-in UI are included. Models
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using eSpeak additionally need eSpeak-ng and its data installed.
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