Files
sglang/test/registered/unit
laoyao0822 50fde834ae Keep CP compute padding out of sparse MoE
CP shared-KV compute padding creates per-request lane slots, so valid rows are not a simple prefix/suffix mask. DeepEP MoE was still seeing dummy rows and using scalar non-padded semantics, which let padding participate in gate/topk and corrupted cache-hit tiny-extend inference.\n\nThe fix compacts CP-local valid rows before MoE dispatch and restores the compact output back to the compute-padded row layout before downstream layer communication. The local GSM8K investigation ledger is now removed from the tracked tree and ignored so future debug notes stay local.\n\nConstraint: CP shared-KV compute-padding layout must keep downstream communicator shapes stable.\nRejected: Disable bs>1/current reuse/cache-hit fast paths | hides the semantic bug and loses the intended performance path.\nRejected: Use num_token_non_padded for MoE under compute padding | valid rows are interleaved with dummy lane slots, not suffix-padded.\nConfidence: high\nScope-risk: moderate\nDirective: Do not feed compute-padded dummy rows into sparse MoE gate/topk; compact valid rows at the MoE boundary and restore shape afterward.\nTested: python -m py_compile python/sglang/srt/layers/attention/nsa/utils.py python/sglang/srt/models/deepseek_v2.py\nTested: remote focused CP utils tests passed, 4 tests.\nTested: remote GSM8K 50-question smoke accuracy 0.960; 200-question runs accuracy 0.955 and 0.965; full 1319-question run accuracy 0.952.\nNot-tested: Long-running production traffic beyond GSM8K after this commit.
2026-06-09 01:48:24 +08:00
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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

  1. Find the source file under python/sglang/srt/.
  2. 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
    
  3. 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")
    
  4. Run locally:
    pytest test/registered/unit/ -v            # all unit tests
    pytest test/registered/unit/mem_cache/ -v  # one module
    
  5. 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() or Engine(...).
  • No model weight loading.
  • Use CustomTestCase (from sglang.test.test_utils, adds CI retry).
  • Use unittest.mock for dependencies that are expensive to construct.