Tiny extend requests can leave most CP lanes without query work, which has been tied to hangs and accept-length regressions. This change introduces a dual valid/compute metadata contract: forward paths may materialize compute-padded rows, while cache, current reuse, direct write, HiCache backup, and load remain valid/page based. The implementation keeps radix/HiCache/device allocation on real page extents, filters dummy compute rows before MLA/index cache writes and current reuse, makes top-k/index consume compute rows while compacting valid rows, and opens tiny CP shared-KV in-seq split through compute padding. The accompanying plan document records the contract and P1-P7 evidence. Constraint: CP shared KV and HiCache must stay page-granular; dummy compute rows must not allocate, write, backup, or load KV cache. Constraint: Avoid silent fallback and avoid adding collectives on hot paths. Rejected: Pad cache allocations to cp_size pages | would waste KV capacity and pollute radix/HiCache state. Rejected: Keep tiny suffixes out of CP split | preserves the zero-lane behavior that compute padding is meant to remove. Confidence: medium Scope-risk: broad Directive: Do not route compute-padded dummy rows into out_cache_loc, current reuse, HiCache reservation, or backup descriptors; keep valid/cache metadata explicit. Tested: Remote g0034 container targeted P7 tests: 3 passed, 3 warnings. Tested: Remote g0034 container full unit slice: PYTHONPATH=python python -m pytest -q test/registered/unit/layers/test_nsa_cp_utils.py test/registered/unit/mem_cache/test_cp_shared_kv_runtime.py test/registered/unit/mem_cache/test_cp_shared_kv_layout.py => 214 passed, 5 warnings, 2 subtests passed. Tested: Local py_compile for touched P7 test file. Not-tested: Latest CUDA/ETE traffic validation for dummy top-k rows, accept len, output len, and detokenizer hang behavior.
Unit Tests
Component-level tests that do not launch a server or load model weights. Tests can use CPU or GPU — the key criterion is no server process.
Quick Start
- Find the source file under
python/sglang/srt/. - Create the corresponding test here, mirroring the source tree:
srt/mem_cache/radix_cache.py → unit/mem_cache/test_radix_cache.py srt/sampling/sampling_params.py → unit/sampling/test_sampling_params.py - Register for CI at the top of the file (after imports, before test classes):
from sglang.test.ci.ci_register import register_cpu_ci register_cpu_ci(est_time=5, suite="stage-a-test-cpu") # or: register_cuda_ci(est_time=10, suite="stage-b-test-1-gpu-small") - Run locally:
pytest test/registered/unit/ -v # all unit tests pytest test/registered/unit/mem_cache/ -v # one module - Run with coverage:
# summary pytest test/registered/unit/ --cov --cov-config=.coveragerc -v # PR incremental check (require ≥60% on changed lines) pytest test/registered/unit/ --cov --cov-config=.coveragerc --cov-report=xml diff-cover coverage.xml --compare-branch=origin/main --fail-under=60
Example
"""Unit tests for <module> — no server, no model loading."""
from sglang.test.ci.ci_register import register_cpu_ci
register_cpu_ci(est_time=5, suite="stage-a-test-cpu")
import unittest
from sglang.srt.<module> import TargetClass
from sglang.test.test_utils import CustomTestCase
class TestTargetClass(CustomTestCase):
def test_basic_behavior(self):
obj = TargetClass(...)
self.assertEqual(obj.method(), expected)
if __name__ == "__main__":
unittest.main()
Rules
- No
popen_launch_server()orEngine(...). - No model weight loading.
- Use
CustomTestCase(fromsglang.test.test_utils, adds CI retry). - Use
unittest.mockfor dependencies that are expensive to construct.