import os import sys import time from pathlib import Path import pytest import requests import torch import torch.distributed as dist from sglang.test.ci.ci_register import register_amd_ci, register_cuda_ci from sglang.test.test_utils import run_distributed_test register_cuda_ci(est_time=30, suite="nightly-2-gpu", nightly=True) register_amd_ci(est_time=60, suite="nightly-amd", nightly=True) class TestDumperPureFunctions: def test_get_truncated_value(self): from sglang.srt.debug_utils.dumper import get_truncated_value assert get_truncated_value(None) is None assert get_truncated_value(42) == 42 assert len(get_truncated_value((torch.randn(10), torch.randn(20)))) == 2 assert get_truncated_value(torch.randn(10, 10)).shape == (10, 10) assert get_truncated_value(torch.randn(100, 100)).shape == (5, 5) def test_obj_to_dict(self): from sglang.srt.debug_utils.dumper import _obj_to_dict assert _obj_to_dict({"a": 1}) == {"a": 1} class Obj: x, y = 10, 20 def method(self): pass result = _obj_to_dict(Obj()) assert result["x"] == 10 assert "method" not in result def test_get_tensor_info(self): from sglang.srt.debug_utils.dumper import get_tensor_info info = get_tensor_info(torch.randn(10, 10)) for key in ["shape=", "dtype=", "min=", "max=", "mean="]: assert key in info assert "value=42" in get_tensor_info(42) assert "min=None" in get_tensor_info(torch.tensor([])) class TestDumperDistributed: def test_basic(self, tmp_path): run_distributed_test(self._test_basic_func, tmpdir=str(tmp_path)) @staticmethod def _test_basic_func(rank, tmpdir): os.environ["SGLANG_DUMPER_DIR"] = tmpdir from sglang.srt.debug_utils.dumper import dumper tensor = torch.randn(10, 10, device=f"cuda:{rank}") dumper.on_forward_pass_start() dumper.dump("tensor_a", tensor, arg=100) dumper.on_forward_pass_start() dumper.set_ctx(ctx_arg=200) dumper.dump("tensor_b", tensor) dumper.set_ctx(ctx_arg=None) dumper.on_forward_pass_start() dumper.override_enable(False) dumper.dump("tensor_skip", tensor) dumper.override_enable(True) dumper.on_forward_pass_start() dumper.dump_dict("obj", {"a": torch.randn(3, device=f"cuda:{rank}"), "b": 42}) dist.barrier() filenames = _get_filenames(tmpdir) _assert_files( filenames, exist=["tensor_a", "tensor_b", "arg=100", "ctx_arg=200", "obj_a", "obj_b"], not_exist=["tensor_skip"], ) def test_http_enable(self): run_distributed_test(self._test_http_func) @staticmethod def _test_http_func(rank): os.environ["SGLANG_DUMPER_ENABLE"] = "0" from sglang.srt.debug_utils.dumper import dumper assert not dumper._enable dumper.on_forward_pass_start() for enable in [True, False]: dist.barrier() if rank == 0: time.sleep(0.1) requests.post( "http://localhost:40000/dumper", json={"enable": enable} ).raise_for_status() dist.barrier() assert dumper._enable == enable def test_filter(self, tmp_path): run_distributed_test(self._test_filter_func, tmpdir=str(tmp_path)) @staticmethod def _test_filter_func(rank, tmpdir): os.environ["SGLANG_DUMPER_DIR"] = tmpdir os.environ["SGLANG_DUMPER_FILTER"] = "^keep" from sglang.srt.debug_utils.dumper import dumper dumper.on_forward_pass_start() dumper.dump("keep_this", torch.randn(5, device=f"cuda:{rank}")) dumper.dump("skip_this", torch.randn(5, device=f"cuda:{rank}")) dumper.dump("not_keep_this", torch.randn(5, device=f"cuda:{rank}")) dist.barrier() filenames = _get_filenames(tmpdir) _assert_files( filenames, exist=["keep_this"], not_exist=["skip_this", "not_keep_this"], ) def test_write_disabled(self, tmp_path): run_distributed_test(self._test_write_disabled_func, tmpdir=str(tmp_path)) @staticmethod def _test_write_disabled_func(rank, tmpdir): os.environ["SGLANG_DUMPER_DIR"] = tmpdir os.environ["SGLANG_DUMPER_WRITE_FILE"] = "0" from sglang.srt.debug_utils.dumper import dumper dumper.on_forward_pass_start() dumper.dump("no_write", torch.randn(5, device=f"cuda:{rank}")) dist.barrier() assert len(_get_filenames(tmpdir)) == 0 def _get_filenames(tmpdir): return {f.name for f in Path(tmpdir).glob("sglang_dump_*/*.pt")} def _assert_files(filenames, *, exist=(), not_exist=()): for p in exist: assert any(p in f for f in filenames), f"{p} not found in {filenames}" for p in not_exist: assert not any( p in f for f in filenames ), f"{p} should not exist in {filenames}" if __name__ == "__main__": sys.exit(pytest.main([__file__]))