run-all-tests
Runs every test suite in the workspace on the fastest available device. Use when the user asks to run the tests, run all the tests, run the full test suite, or check that everything still passes.
来源信息
- 仓库
- intentee/llama-cpp-bindings
- 最近来源活动
- 2026年5月25日 12:49
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安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
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SKILL.md
来源说明 · 只读预览- name
- run-all-tests
- description
- Runs every test suite in the workspace on the fastest available device. Use when the user asks to run the tests, run all the tests, run the full test suite, or check that everything still passes.
# Running all tests
Run every test suite in the workspace, picking the fastest compiled device backend for the host.
## Step 1: detect the device
Run this once at the start and echo the chosen device:
```bash
if [[ "$OSTYPE" == "darwin"* ]]; then
DEVICE=metal
elif command -v nvidia-smi >/dev/null 2>&1 && nvidia-smi >/dev/null 2>&1; then
DEVICE=cuda
else
DEVICE=cpu
fi
echo "Device: $DEVICE"
```
`$DEVICE` selects the backend feature for every suite in Step 2, including `test.unit`. Passing the same device through every target keeps the cmake hash stable, so llama.cpp is compiled once and reused across all suites.
## Step 2: run the suites
Translate `$DEVICE` into the value the Makefile expects. `TEST_DEVICE` holds **only** the backend name (`cuda` / `metal` / `vulkan` / `rocm`), or empty for CPU since there is no `cpu` feature:
```bash
[ "$DEVICE" = "cpu" ] && FEAT= || FEAT="$DEVICE"
```
Then run exactly:
```bash
make test.llms TEST_DEVICE="$FEAT"
```
## Step 3: rules during the run
- **Per-test 30 s budget.** Flag any individual test that exceeds 30 s wall-clock. That is a real bug — production or test — not flakiness.
## Step 4: report
After all suites finish, sum up the results in an actionable report.
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