ZacharyZhang-NY
922d01202f
The product could only reach a GPU through one hard-coded route: `wsl.exe -d Ubuntu`, a device named "RTX 4090", and launch scripts that existed only as PowerShell. On this machine `WSL_DISTRO_NAME` is already set, so the local shell is Linux and the wsl.exe hop was unnecessary; on any other Linux host it is impossible. Every SGLang, vLLM and KTransformers profile was reported "missing" here even with a working 4090. profiles.py now asks the host what it is instead of assuming: `uses_wsl()` is false inside WSL and only true when wsl.exe is actually on PATH, `host_shell()` runs `bash -lc` directly or through `wsl.exe -d settings.wsl_distro`, `gpu_available()` replaced `wsl_gpu_available()`, and `launch_script()` picks the .sh twin on a Linux host and the .ps1 on a Windows one. The schema field `wsl_gpu` became `gpu_available` because the old name lied on Linux. Training no longer fails on a card name. `cuda_bf16_training()` gates on cuda_available plus bf16_supported, which the training environment already records, so an RTX 5090 or a 4080 passes and a non-BF16 4090 still fails. Fourteen .sh twins cover the six launch profiles plus install, verify, serve, download and finetune; the six WSL-hopping .ps1 files read ELY_EYE_WSL_DISTRO instead of Ubuntu. PowerShell parsing is not verified here because no pwsh exists on this host. ci.yml runs pytest, ruff, go build/vet/test/gofmt, the Vite build and a docker build-plus-curl on every push. To make that lint gate mean anything, the 17 pre-existing ruff findings across backend/src are cleared: 14 mechanical fixes plus three probe handlers that now name the failure families they absorb (OSError, SubprocessError, ValueError) instead of catching Exception. Verification: pytest 239 passed; ruff check backend/src bench clean (17 at HEAD); mypy on the 12 touched files 14 errors, identical at HEAD; pyright on the same files 8 errors, identical at HEAD; bash -n clean on all 15 .sh.
21 lines
869 B
Bash
Executable File
21 lines
869 B
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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cd "$(dirname "$0")/.."
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if ! command -v nvidia-smi >/dev/null 2>&1; then
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echo "nvidia-smi is missing; these runtimes need a CUDA host." >&2
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exit 1
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fi
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nvidia-smi -L >/dev/null
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uv_bin="${ELY_EYE_UV:-$HOME/.local/bin/uv}"
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if ! command -v "$uv_bin" >/dev/null 2>&1; then
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curl -LsSf https://astral.sh/uv/install.sh | sh
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uv_bin="$HOME/.local/bin/uv"
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fi
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for venv in .venv-linux .venv-linux-vllm; do
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"$uv_bin" venv "$venv" --python 3.12
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done
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"$uv_bin" pip install --python .venv-linux/bin/python --prerelease=allow -r backend/requirements-sglang-linux.txt
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"$uv_bin" pip install --python .venv-linux-vllm/bin/python --prerelease=allow -r backend/requirements-vllm-linux.txt
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"$uv_bin" pip install --python .venv-linux/bin/python --prerelease=allow -r backend/requirements-ktransformers-linux.txt
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.venv/bin/ely-eye runtime-profiles
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