Update test README with CI registry documentation and 5090/H100 guidance (#17368)
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@@ -32,14 +32,94 @@ python3 test_choices.py
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- Ensure you added `unittest.main()` for unittest and `sys.exit(pytest.main([__file__]))` for pytest in the scripts. The CI run them via `python3 test_file.py`.
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- The CI will run some suites such as `per-commit-1-gpu`, `per-commit-2-gpu`, and `nightly-1-gpu` automatically. If you need special setup or custom test groups, you may modify the workflows in [`.github/workflows/`](https://github.com/sgl-project/sglang/tree/main/.github/workflows).
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## CI Registry Quick Peek
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## CI Registry System
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Tests in `test/registered/` declare CI metadata via lightweight markers:
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Tests in `test/registered/` use a registry-based CI system for flexible backend/schedule configuration.
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### Registration Functions
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```python
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from sglang.test.ci.ci_register import register_cuda_ci
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from sglang.test.ci.ci_register import (
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register_cuda_ci,
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register_amd_ci,
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register_cpu_ci,
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register_npu_ci,
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)
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register_cuda_ci(est_time=80, suite="stage-a-test-1")
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# Per-commit test (small 1-gpu, runs on 5090)
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register_cuda_ci(est_time=80, suite="stage-b-test-small-1-gpu")
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# Per-commit test (large 1-gpu, runs on H100)
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register_cuda_ci(est_time=120, suite="stage-b-test-large-1-gpu")
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# Per-commit test (2-gpu)
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register_cuda_ci(est_time=200, suite="stage-b-test-large-2-gpu")
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# Nightly-only test
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register_cuda_ci(est_time=200, suite="nightly-1-gpu", nightly=True)
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# Multi-backend test
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register_cuda_ci(est_time=80, suite="stage-b-test-small-1-gpu")
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register_amd_ci(est_time=120, suite="stage-a-test-1")
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# Temporarily disabled test
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register_cuda_ci(est_time=80, suite="stage-b-test-small-1-gpu", disabled="flaky - see #12345")
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```
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### Choosing Between 1-GPU Suites (5090 vs H100)
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When adding 1-GPU tests, choose the appropriate suite based on hardware compatibility:
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| Suite | Runner | GPU | When to Use |
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|-------|--------|-----|-------------|
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| `stage-b-test-small-1-gpu` | `1-gpu-5090` | RTX 5090 (32GB, SM120) | 5090-compatible tests (preferred) |
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| `stage-b-test-large-1-gpu` | `1-gpu-runner` | H100 (80GB, SM90) | Large models or 5090-incompatible tests |
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**Use `stage-b-test-small-1-gpu` (5090) whenever possible** - this is the preferred suite for most 1-GPU tests.
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**Use `stage-b-test-large-1-gpu` (H100) if ANY of these apply:**
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1. **Architecture incompatibility (SM120/Blackwell)**:
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- FA3 attention backend (requires SM≤90)
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- MLA with FA3 backend
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- FP8/MXFP4 quantization (not supported on SM120)
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- Certain Triton kernels (shared memory limits)
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2. **Memory requirements**:
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- Models >30B params or large MoE
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- Tests requiring >32GB VRAM
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3. **Known 5090 failures**:
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- Weight update/sync tests
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- Certain spec decoding tests
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If a test cannot run on 5090 due to any of the above, use `stage-b-test-large-1-gpu` which runs on H100.
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### Available Suites
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**Per-Commit (CUDA)**:
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- Stage A: `stage-a-test-1` (locked), `stage-a-test-2`, `stage-a-test-cpu`
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- Stage B: `stage-b-test-small-1-gpu` (5090), `stage-b-test-large-1-gpu` (H100), `stage-b-test-large-2-gpu`
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- Stage C: `stage-c-test-large-4-gpu`, `stage-c-test-large-4-gpu-b200`, `stage-c-test-large-8-gpu-b200`
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**Per-Commit (AMD)**:
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- `stage-a-test-1`, `stage-b-test-small-1-gpu-amd`, `stage-b-test-large-2-gpu-amd`
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**Nightly**:
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- `nightly-1-gpu`, `nightly-2-gpu`, `nightly-4-gpu`, `nightly-8-gpu`, etc.
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### Running Tests with run_suite.py
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```bash
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# Run per-commit tests
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python test/run_suite.py --hw cuda --suite stage-b-test-small-1-gpu
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# Run nightly tests
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python test/run_suite.py --hw cuda --suite nightly-1-gpu --nightly
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# With auto-partitioning (for parallel CI jobs)
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python test/run_suite.py --hw cuda --suite stage-b-test-small-1-gpu \
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--auto-partition-id 0 --auto-partition-size 4
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```
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## Writing Elegant Test Cases
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