23 lines
1.4 KiB
PowerShell
23 lines
1.4 KiB
PowerShell
param(
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[ValidateSet('cpu', 'cuda')][string]$Device = 'cpu',
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[string]$RuntimeDirectory = ''
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)
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$ErrorActionPreference = 'Stop'
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$backendRoot = Split-Path $PSScriptRoot -Parent
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$runtimeRoot = if ($RuntimeDirectory) { [IO.Path]::GetFullPath($RuntimeDirectory) } else { Join-Path $backendRoot '.venv-models' }
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$runtimePython = Join-Path $runtimeRoot 'Scripts/python.exe'
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if (!(Test-Path -LiteralPath $runtimePython)) {
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& uv venv --python 3.12 $runtimeRoot
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if ($LASTEXITCODE -ne 0) { throw '无法创建模型运行环境' }
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}
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# CPU is the default. CUDA wheels include the runtime, not the NVIDIA driver.
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$torchIndex = if ($Device -eq 'cuda') { 'https://download.pytorch.org/whl/cu128' } else { 'https://download.pytorch.org/whl/cpu' }
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$wheelVariant = if ($Device -eq 'cuda') { 'cu128' } else { 'cpu' }
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# Pin the local version too: ==2.9.1 alone also accepts an already-installed CPU wheel.
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& uv pip install --python $runtimePython --index-url $torchIndex "torch==2.9.1+$wheelVariant" "torchaudio==2.9.1+$wheelVariant"
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if ($LASTEXITCODE -ne 0) { throw 'PyTorch 安装失败' }
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& uv pip install --python $runtimePython -r (Join-Path $PSScriptRoot 'model-requirements.lock') -c (Join-Path $PSScriptRoot 'model-requirements.txt')
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if ($LASTEXITCODE -ne 0) { throw '模型依赖安装失败' }
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& $runtimePython -c 'import torch; print({"torch":torch.__version__,"cuda_available":torch.cuda.is_available()})'
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if ($LASTEXITCODE -ne 0) { throw '模型运行环境检查失败' }
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