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.
36 lines
881 B
Bash
Executable File
36 lines
881 B
Bash
Executable File
#!/usr/bin/env bash
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set -euo pipefail
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cd "$(dirname "$0")/.."
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max_steps="${MAX_STEPS:-37}"
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rank="${RANK:-16}"
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alpha="${ALPHA:-32}"
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max_length="${MAX_LENGTH:-8192}"
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gradient_accumulation_steps="${GRADIENT_ACCUMULATION_STEPS:-4}"
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cartridge_id="${CARTRIDGE_ID:-}"
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dataset=.ely_eye/training/hme_prd_sft.jsonl
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adapter=.ely_eye/adapters/hme_core_lora_qwen35_9b
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.venv/bin/ely-eye build-prd-training-data \
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--prd-path ./PRD.md \
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--output-path "$dataset" \
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--max-sections 48
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args=(train-lora "$dataset" "$adapter"
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--max-steps "$max_steps"
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--kind hme_core_lora
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--rank "$rank"
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--alpha "$alpha"
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--max-length "$max_length"
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--gradient-accumulation-steps "$gradient_accumulation_steps")
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if [ -n "$cartridge_id" ]; then
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args+=(--cartridge-id "$cartridge_id")
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fi
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.venv/bin/ely-eye "${args[@]}"
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echo "Adapter ready: $adapter"
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echo "Use with: ELY_EYE_ADAPTER_DIR=$adapter"
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