1557 lines
62 KiB
Python
1557 lines
62 KiB
Python
"""Unit tests for runtime_context: delegation, singletons, and override()."""
|
|
|
|
from sglang.test.ci.ci_register import register_cpu_ci
|
|
|
|
register_cpu_ci(est_time=5, suite="base-a-test-cpu")
|
|
|
|
import dataclasses
|
|
import json
|
|
import os
|
|
import pathlib as _pathlib
|
|
import shutil
|
|
import tempfile
|
|
import unittest
|
|
from unittest.mock import patch
|
|
|
|
import sglang as _sglang
|
|
import sglang.srt.server_args as server_args_module
|
|
from sglang.srt.arg_groups.arg_utils import NS, A, Arg
|
|
from sglang.srt.runtime_context import (
|
|
Flags,
|
|
ParallelContext,
|
|
RuntimeContext,
|
|
_FlagGroupBase,
|
|
assert_published,
|
|
derive_parallel_widths,
|
|
get_context,
|
|
get_exec,
|
|
get_flags,
|
|
get_parallel,
|
|
get_server_args,
|
|
max_speculative_num_draft_tokens,
|
|
publish,
|
|
publish_role,
|
|
reset_context,
|
|
)
|
|
from sglang.srt.server_args import ServerArgs
|
|
from sglang.test.test_utils import CustomTestCase
|
|
|
|
_SRT = _pathlib.Path(next(iter(_sglang.__path__))).resolve() / "srt"
|
|
_PS = "sglang.srt.distributed.parallel_state"
|
|
_DP = "sglang.srt.layers.dp_attention"
|
|
|
|
SIZE_RANK_DELEGATIONS = [
|
|
("world_size", f"{_PS}.get_world_size"),
|
|
("world_rank", f"{_PS}.get_world_rank"),
|
|
("tp_rank", f"{_PS}.get_tensor_model_parallel_rank"),
|
|
("dcp_rank", f"{_PS}.get_dcp_rank"),
|
|
("pp_rank", f"{_PS}.get_pipeline_model_parallel_rank"),
|
|
("moe_ep_size", f"{_PS}.get_moe_expert_parallel_world_size"),
|
|
("moe_ep_rank", f"{_PS}.get_moe_expert_parallel_rank"),
|
|
("moe_dp_rank", f"{_PS}.get_moe_data_parallel_rank"),
|
|
("moe_tp_size", f"{_PS}.get_moe_tensor_parallel_world_size"),
|
|
("moe_tp_rank", f"{_PS}.get_moe_tensor_parallel_rank"),
|
|
("attn_tp_size", f"{_PS}.get_attn_tensor_model_parallel_world_size"),
|
|
("attn_tp_rank", f"{_PS}.get_attn_tensor_model_parallel_rank"),
|
|
("attn_cp_rank", f"{_PS}.get_attn_context_model_parallel_rank"),
|
|
("attn_dp_size", f"{_DP}.get_attention_dp_size"),
|
|
("attn_dp_rank", f"{_DP}.get_attention_dp_rank"),
|
|
]
|
|
|
|
GROUP_DELEGATIONS = [
|
|
("world_group", f"{_PS}.get_world_group"),
|
|
("tp_group", f"{_PS}.get_tp_group"),
|
|
("dcp_group", f"{_PS}.get_dcp_group"),
|
|
("pp_group", f"{_PS}.get_pp_group"),
|
|
("moe_ep_group", f"{_PS}.get_moe_ep_group"),
|
|
("moe_dp_group", f"{_PS}.get_moe_dp_group"),
|
|
("moe_tp_group", f"{_PS}.get_moe_tp_group"),
|
|
("attn_tp_group", f"{_PS}.get_attn_tp_group"),
|
|
("attn_cp_group", f"{_PS}.get_attn_cp_group"),
|
|
]
|
|
|
|
|
|
class TestRuntimeContextSingletons(CustomTestCase):
|
|
def test_singletons(self):
|
|
self.assertIs(get_parallel(), get_parallel())
|
|
self.assertIsInstance(get_parallel(), ParallelContext)
|
|
self.assertIsInstance(get_context(), RuntimeContext)
|
|
self.assertIs(get_context().parallel, get_parallel())
|
|
|
|
|
|
class _IsolatedOverrides(CustomTestCase):
|
|
"""Give each test a clean override map, restoring afterward only the overrides
|
|
installed outside it (e.g. by another test file sharing the process)."""
|
|
|
|
def setUp(self):
|
|
super().setUp()
|
|
p = get_parallel()
|
|
self._saved_overrides = dict(p._overrides)
|
|
p._overrides.clear()
|
|
|
|
def tearDown(self):
|
|
p = get_parallel()
|
|
p._overrides.clear()
|
|
p._overrides.update(self._saved_overrides)
|
|
super().tearDown()
|
|
|
|
|
|
class TestParallelDelegation(_IsolatedOverrides):
|
|
def test_size_rank_delegate_to_canonical_getters(self):
|
|
# Patch each getter to a distinct sentinel: a miswired attribute would read
|
|
# a different (unpatched) getter and fail.
|
|
for i, (attr, target) in enumerate(SIZE_RANK_DELEGATIONS):
|
|
sentinel = 1000 + i
|
|
with patch(target, return_value=sentinel):
|
|
self.assertEqual(
|
|
getattr(get_parallel(), attr),
|
|
sentinel,
|
|
msg=f"{attr} must delegate to {target}",
|
|
)
|
|
|
|
def test_groups_delegate_to_canonical_getters(self):
|
|
for attr, target in GROUP_DELEGATIONS:
|
|
sentinel = object()
|
|
with patch(target, return_value=sentinel):
|
|
self.assertIs(
|
|
getattr(get_parallel(), attr),
|
|
sentinel,
|
|
msg=f"{attr} must delegate to {target}",
|
|
)
|
|
|
|
def test_wrapper_holds_no_resolved_state(self):
|
|
# __slots__: no __dict__; the only instance state is the override hook.
|
|
self.assertFalse(hasattr(get_parallel(), "__dict__"))
|
|
# tp_group IS exposed: live delegation handles PD-multiplexing / the tp patch.
|
|
self.assertTrue(hasattr(ParallelContext, "tp_group"))
|
|
# local_attn_dp is intentionally not part of the wrapper surface.
|
|
self.assertFalse(hasattr(ParallelContext, "local_attn_dp_size"))
|
|
|
|
|
|
class TestParallelOverride(_IsolatedOverrides):
|
|
def test_override_takes_precedence(self):
|
|
p = get_parallel()
|
|
with p.override(tp_size=99, tp_rank=3, attn_dp_size=8):
|
|
self.assertEqual(p.tp_size, 99)
|
|
self.assertEqual(p.tp_rank, 3)
|
|
self.assertEqual(p.attn_dp_size, 8)
|
|
# same singleton: a fresh get_parallel() sees the override too
|
|
self.assertEqual(get_parallel().tp_size, 99)
|
|
self.assertEqual(p._overrides, {})
|
|
|
|
def test_override_can_force_groups(self):
|
|
sentinel = object()
|
|
with get_parallel().override(tp_group=sentinel):
|
|
self.assertIs(get_parallel().tp_group, sentinel)
|
|
|
|
def test_override_nests_and_restores(self):
|
|
p = get_parallel()
|
|
with p.override(tp_size=2):
|
|
self.assertEqual(p.tp_size, 2)
|
|
with p.override(tp_size=4, pp_size=2):
|
|
self.assertEqual(p.tp_size, 4)
|
|
self.assertEqual(p.pp_size, 2)
|
|
self.assertEqual(p.tp_size, 2)
|
|
self.assertNotIn("pp_size", p._overrides)
|
|
|
|
def test_override_unknown_key_raises_and_does_not_mutate(self):
|
|
p = get_parallel()
|
|
with self.assertRaises(ValueError):
|
|
with p.override(tp_sizee=1): # typo
|
|
pass
|
|
self.assertEqual(p._overrides, {})
|
|
|
|
|
|
class TestParallelDCP(_IsolatedOverrides):
|
|
def test_attn_dcp_defaults_when_group_is_uninitialized(self):
|
|
with (
|
|
patch(f"{_PS}.get_dcp_group_no_assert", return_value=None),
|
|
patch(f"{_PS}.get_dcp_world_size", side_effect=AssertionError),
|
|
patch(f"{_PS}.get_dcp_rank", side_effect=AssertionError),
|
|
):
|
|
self.assertFalse(get_parallel().dcp_enabled)
|
|
self.assertEqual(get_parallel().attn_dcp_size, 1)
|
|
self.assertEqual(get_parallel().attn_dcp_rank, 0)
|
|
|
|
def test_attn_dcp_delegates_when_enabled(self):
|
|
with (
|
|
patch(f"{_PS}.get_dcp_group_no_assert", return_value=object()),
|
|
patch(f"{_PS}.get_dcp_world_size", return_value=8),
|
|
patch(f"{_PS}.get_dcp_rank", return_value=3),
|
|
):
|
|
self.assertTrue(get_parallel().dcp_enabled)
|
|
self.assertEqual(get_parallel().attn_dcp_size, 8)
|
|
self.assertEqual(get_parallel().attn_dcp_rank, 3)
|
|
|
|
def test_dcp_enablement_is_platform_agnostic(self):
|
|
with (
|
|
patch(f"{_PS}.get_dcp_group_no_assert", return_value=object()),
|
|
patch("sglang.srt.utils.is_cuda", return_value=False) as is_cuda,
|
|
patch(f"{_PS}.get_dcp_world_size", return_value=8),
|
|
patch(f"{_PS}.get_dcp_rank", return_value=3),
|
|
):
|
|
self.assertTrue(get_parallel().dcp_enabled)
|
|
self.assertEqual(get_parallel().attn_dcp_size, 8)
|
|
self.assertEqual(get_parallel().attn_dcp_rank, 3)
|
|
is_cuda.assert_not_called()
|
|
|
|
|
|
class _IsolatedServerArgs(CustomTestCase):
|
|
"""Save/restore the published ServerArgs around each test (the slot is
|
|
process-global; another test file sharing the process may have published)."""
|
|
|
|
def setUp(self):
|
|
super().setUp()
|
|
self._saved_server_args = get_context()._server_args
|
|
|
|
def tearDown(self):
|
|
if self._saved_server_args is None:
|
|
reset_context()
|
|
else:
|
|
get_context().set_server_args(self._saved_server_args)
|
|
super().tearDown()
|
|
|
|
|
|
class TestServerArgsOwnership(_IsolatedServerArgs):
|
|
"""V2b: the context owns the slot; the legacy getters are identity shims."""
|
|
|
|
def test_legacy_setter_publishes_into_context(self):
|
|
# Identity, not equality: the slot holds the very object published.
|
|
sentinel = ServerArgs(model_path="dummy")
|
|
server_args_module.set_global_server_args_for_scheduler(sentinel)
|
|
self.assertIs(server_args_module.get_global_server_args(), sentinel)
|
|
self.assertIs(get_server_args(), sentinel)
|
|
self.assertIs(get_context().server_args, sentinel)
|
|
|
|
def test_tokenizer_alias_is_distinct_role_shim(self):
|
|
# Deliberately NOT an alias: the two legacy setters publish with
|
|
# different process roles (scheduler vs tokenizer).
|
|
self.assertIsNot(
|
|
server_args_module.set_global_server_args_for_tokenizer,
|
|
server_args_module.set_global_server_args_for_scheduler,
|
|
)
|
|
|
|
def test_pre_publish_error_verbatim(self):
|
|
reset_context()
|
|
for accessor in (get_server_args, server_args_module.get_global_server_args):
|
|
with self.assertRaises(ValueError) as cm:
|
|
accessor()
|
|
self.assertEqual(str(cm.exception), "Global server args is not set yet!")
|
|
|
|
def test_republish_overwrite_allowed(self):
|
|
first = ServerArgs(model_path="dummy")
|
|
second = ServerArgs(model_path="dummy")
|
|
server_args_module.set_global_server_args_for_scheduler(first)
|
|
server_args_module.set_global_server_args_for_scheduler(second)
|
|
self.assertIs(get_server_args(), second)
|
|
|
|
def test_reset_context_clears_owned_store(self):
|
|
server_args_module.set_global_server_args_for_scheduler(
|
|
ServerArgs(model_path="dummy")
|
|
)
|
|
reset_context()
|
|
with self.assertRaises(ValueError):
|
|
get_server_args()
|
|
|
|
|
|
class TestAssertPublished(_IsolatedServerArgs):
|
|
"""Publishing is the process entry's job; the constructors only check.
|
|
|
|
`ModelRunner`, `TokenizerManager` and `MMEncoder` assert. A publish inside
|
|
a process that has already published re-projects the bags, discarding every
|
|
`override()` taken since and the provenance log with it, so a constructor
|
|
that finds nothing published fails loud.
|
|
"""
|
|
|
|
def _record(self, **fields):
|
|
return ServerArgs(model_path="dummy", **fields)
|
|
|
|
def test_the_check_leaves_a_live_process_alone(self):
|
|
record = self._record(grammar_backend="xgrammar")
|
|
publish(record, role="scheduler")
|
|
get_context().override("grammar.import_fallback", grammar_backend="none")
|
|
|
|
assert_published(record, role="scheduler")
|
|
|
|
self.assertEqual(
|
|
get_exec().kernel.grammar_backend,
|
|
"none",
|
|
"the check re-projected the bags, so the import fallback was "
|
|
"discarded and the process reports a backend it is not using",
|
|
)
|
|
self.assertEqual(
|
|
len(get_context().overrides_log()),
|
|
1,
|
|
"the provenance of the override went with it",
|
|
)
|
|
|
|
def test_a_different_record_fails(self):
|
|
first = self._record(grammar_backend="xgrammar")
|
|
publish(first, role="scheduler")
|
|
second = self._record(grammar_backend="llguidance")
|
|
|
|
with self.assertRaisesRegex(RuntimeError, "a different record is published"):
|
|
assert_published(second, role="scheduler")
|
|
|
|
self.assertIs(
|
|
get_server_args(),
|
|
first,
|
|
"the failing check published anyway",
|
|
)
|
|
|
|
def test_an_empty_slot_fails(self):
|
|
"""An empty slot fails."""
|
|
reset_context()
|
|
record = self._record(grammar_backend="xgrammar")
|
|
|
|
with self.assertRaisesRegex(
|
|
RuntimeError, "nothing is published in this process"
|
|
):
|
|
assert_published(record, role="scheduler")
|
|
|
|
def test_the_same_record_under_a_different_role_fails(self):
|
|
"""The role decides which namespaces this process may read."""
|
|
record = self._record()
|
|
publish(record, role="tokenizer")
|
|
|
|
with self.assertRaisesRegex(RuntimeError, "published under role 'tokenizer'"):
|
|
assert_published(record, role="scheduler")
|
|
|
|
self.assertEqual(publish_role(), "tokenizer")
|
|
|
|
def test_no_constructor_publishes_outside_the_two_entries(self):
|
|
"""Publishing from an `__init__` is an entry's job or a bug.
|
|
|
|
It is right when the constructor *is* the entry -- an `Engine` being
|
|
(re)built, the Ray actor that stands in for `run_scheduler_process`,
|
|
where resetting the bags is the point. It is wrong anywhere else,
|
|
because the process is already live with a record and re-projecting
|
|
drops its overrides. The census is pinned, so a new constructor publish
|
|
fails here until it is one of the two.
|
|
|
|
Both the publisher set and "which `__init__` reaches one" come from
|
|
`sglang.test.config_publishers`, which derives them from the code --
|
|
a hand-written spelling list here missed a constructor that publishes
|
|
one hop away through a helper. The derivation follows helpers defined
|
|
in the same module; a constructor that publishes through a helper in
|
|
*another* module is not seen, which is the one hole left here.
|
|
"""
|
|
import pathlib
|
|
|
|
import sglang
|
|
from sglang.test.config_publishers import constructor_publishers
|
|
|
|
srt = pathlib.Path(sglang.__file__).resolve().parent / "srt"
|
|
self.assertEqual(
|
|
constructor_publishers(srt),
|
|
{
|
|
("entrypoints/engine.py", "Engine", "publish"),
|
|
("ray/scheduler_actor.py", "SchedulerActor", "publish"),
|
|
},
|
|
"a constructor publishes and it is not one of the two entries; "
|
|
"publish at the process entry and let the constructor assert",
|
|
)
|
|
|
|
|
|
class TestServerArgsScopedOverride(_IsolatedServerArgs):
|
|
"""ctx.override_server_args: the config tier's scoped test override —
|
|
tests force execution paths by overriding the context, not by
|
|
hand-building and publishing config objects."""
|
|
|
|
def test_install_publishes_fresh_config_with_fields(self):
|
|
reset_context()
|
|
override = get_context().override_server_args(
|
|
attention_backend="triton", chunked_prefill_size=-1
|
|
)
|
|
published = override.install()
|
|
self.assertIs(get_server_args(), published)
|
|
self.assertEqual(published.attention_backend, "triton")
|
|
self.assertEqual(published.chunked_prefill_size, -1)
|
|
# unnamed fields keep their dataclass defaults
|
|
self.assertEqual(published.tp_size, 1)
|
|
|
|
def test_unknown_fields_are_rejected(self):
|
|
with self.assertRaises(ValueError):
|
|
get_context().override_server_args(not_a_config_field=1).install()
|
|
|
|
def test_restore_reinstates_previous_publish(self):
|
|
previous = object()
|
|
get_context().set_server_args(previous)
|
|
override = get_context().override_server_args(tp_size=8)
|
|
override.install()
|
|
self.assertEqual(get_server_args().tp_size, 8)
|
|
override.restore()
|
|
self.assertIs(get_server_args(), previous)
|
|
|
|
def test_restore_reinstates_the_empty_slot(self):
|
|
reset_context()
|
|
with get_context().override_server_args():
|
|
get_server_args() # published inside the scope
|
|
with self.assertRaises(ValueError):
|
|
get_server_args()
|
|
|
|
def test_nesting_restores_in_order(self):
|
|
reset_context()
|
|
with get_context().override_server_args(tp_size=2) as outer:
|
|
with get_context().override_server_args(tp_size=4):
|
|
self.assertEqual(get_server_args().tp_size, 4)
|
|
self.assertIs(get_server_args(), outer)
|
|
self.assertEqual(get_server_args().tp_size, 2)
|
|
|
|
def test_private_attribute_seeding(self):
|
|
# Property caches (e.g. _mamba_cache_chunk_size) are seeded through
|
|
# the same call; the strict guard exempts underscore names.
|
|
published = (
|
|
get_context().override_server_args(_mamba_cache_chunk_size=64).install()
|
|
)
|
|
self.assertEqual(published.mamba_cache_chunk_size, 64)
|
|
|
|
def test_installed_config_arms_the_strict_guard(self):
|
|
# The published dummy must behave like a resolved config: bare writes
|
|
# raise.
|
|
published = get_context().override_server_args(tp_size=2).install()
|
|
with self.assertRaises(AttributeError):
|
|
published.tp_size = 4
|
|
self.assertEqual(published.tp_size, 2)
|
|
|
|
def test_restore_resets_the_capture_seed(self):
|
|
# install() seeds flags.capture from the published dummy; restore()
|
|
# must put back the pre-install runtime state on both restore paths.
|
|
reset_context()
|
|
self.assertFalse(get_flags().capture.enable_torch_compile)
|
|
override = get_context().override_server_args(enable_torch_compile=True)
|
|
override.install()
|
|
self.assertTrue(get_flags().capture.enable_torch_compile)
|
|
override.restore()
|
|
self.assertFalse(get_flags().capture.enable_torch_compile)
|
|
|
|
def test_double_install_rejected(self):
|
|
override = get_context().override_server_args()
|
|
override.install()
|
|
with self.assertRaises(AssertionError):
|
|
override.install()
|
|
|
|
def test_module_global_removed(self):
|
|
# The legacy storage must not survive: a stale _global_server_args would
|
|
# silently fork the config into two objects.
|
|
self.assertFalse(hasattr(server_args_module, "_global_server_args"))
|
|
|
|
|
|
@dataclasses.dataclass
|
|
class _FakeCaptureGroup(_FlagGroupBase):
|
|
gamma: int = 0
|
|
|
|
|
|
class TestFlagsTier(_IsolatedServerArgs):
|
|
"""Runtime-flags tier: typed groups, typo-safe writes, override primitive.
|
|
|
|
Resolved configuration lives on server_args fields (materialized at the
|
|
end of __post_init__); the flags tier only carries runtime state
|
|
(today: the capture lifecycle)."""
|
|
|
|
def test_wiring_and_groups(self):
|
|
flags = get_flags()
|
|
self.assertIs(flags, get_context().flags)
|
|
self.assertIsInstance(flags, Flags)
|
|
self.assertTrue(hasattr(flags, "capture"))
|
|
|
|
def test_typo_safety(self):
|
|
group = _FakeCaptureGroup()
|
|
with self.assertRaises(AttributeError):
|
|
group.gamma_misspelled = 2 # undeclared leaf
|
|
with self.assertRaises(AttributeError):
|
|
get_flags().not_a_flag = 1
|
|
|
|
def test_override_is_transactional(self):
|
|
group = _FakeCaptureGroup()
|
|
with group.override(gamma=99):
|
|
self.assertEqual(group.gamma, 99)
|
|
self.assertEqual(group.gamma, 0)
|
|
with self.assertRaises(ValueError):
|
|
with group.override(gamma=2, delta=3): # delta undeclared
|
|
pass
|
|
self.assertEqual(group.gamma, 0) # validated before any write
|
|
|
|
def test_reset_context_installs_fresh_flags(self):
|
|
old = get_flags()
|
|
old.capture.enable_torch_compile = True
|
|
reset_context()
|
|
self.assertIsNot(get_flags(), old)
|
|
self.assertFalse(get_flags().capture.enable_torch_compile)
|
|
|
|
|
|
@dataclasses.dataclass
|
|
class _FakeResolvedArgs:
|
|
"""Publishable fixture with a resolvable whitelist (real flat leaves)."""
|
|
|
|
page_size: A[int | None, Arg(help="p", resolvable=True), NS("schedule")] = None
|
|
sampling_backend: A[
|
|
str | None, Arg(help="s", resolvable=True), NS("exec.kernel")
|
|
] = None
|
|
attention_backend: A[str | None, Arg(help="ab"), NS("exec.kernel")] = None
|
|
prefill_attention_backend: A[str | None, Arg(help="pab"), NS("exec.kernel")] = None
|
|
decode_attention_backend: A[str | None, Arg(help="dab"), NS("exec.kernel")] = None
|
|
disable_radix_cache: A[bool, Arg(help="drc"), NS("memory")] = False
|
|
mamba_radix_cache_strategy: A[str, Arg(help="mrcs"), NS("exec.mamba")] = "auto"
|
|
speculative_num_draft_tokens: A[int | None, Arg(help="d"), NS("spec")] = None
|
|
speculative_adaptive: A[bool, Arg(help="a"), NS("spec")] = False
|
|
speculative_adaptive_config: A[str | None, Arg(help="c"), NS("spec")] = None
|
|
load_format: A[str, Arg(help="lf"), NS("model")] = "auto"
|
|
remote_instance_weight_loader_backend: A[str, Arg(help="rb"), NS("model")] = "nccl"
|
|
remote_instance_weight_loader_start_seed_via_transfer_engine: A[
|
|
bool, Arg(help="rs"), NS("model")
|
|
] = False
|
|
modelexpress_config: A[str | None, Arg(help="mx"), NS("model")] = None
|
|
disaggregation_mode: A[str, Arg(help="dm"), NS("disagg")] = "null"
|
|
max_running_requests: A[int | None, Arg(help="mrr"), NS("schedule")] = None
|
|
chunked_prefill_size: A[int, Arg(help="cps"), NS("schedule")] = -1
|
|
max_prefill_tokens: A[int, Arg(help="mpt"), NS("schedule")] = 16384
|
|
enable_dynamic_chunking: A[bool, Arg(help="edc"), NS("schedule")] = False
|
|
cuda_graph_config: A[object | None, Arg(help="cgc"), NS("exec.graph")] = None
|
|
tp_size: A[int, Arg(help="tp"), NS("parallel")] = 1
|
|
pp_size: A[int, Arg(help="pp"), NS("parallel")] = 1
|
|
_resolved_overrides: list = dataclasses.field(default_factory=list)
|
|
|
|
|
|
class TestMoeFlagsGroup(_IsolatedServerArgs):
|
|
"""flags.moe: materialized by initialize_moe_config; the ACTIVE backends
|
|
swap under the speculative contexts and restore on exit."""
|
|
|
|
def _init(self, **kw):
|
|
from sglang.srt.layers.moe.utils import initialize_moe_config
|
|
|
|
defaults = dict(
|
|
moe_a2a_backend="none",
|
|
moe_runner_backend="auto",
|
|
speculative_moe_runner_backend=None,
|
|
speculative_moe_a2a_backend=None,
|
|
deepep_mode="auto",
|
|
deepep_config=None,
|
|
enable_two_batch_overlap=False,
|
|
enable_single_batch_overlap=False,
|
|
tbo_token_distribution_threshold=0.48,
|
|
disable_flashinfer_cutlass_moe_fp4_allgather=False,
|
|
quantization=None,
|
|
disable_shared_experts_fusion=False,
|
|
)
|
|
defaults.update(kw)
|
|
# The flags are seeded from the bags, so the test publishes a config
|
|
# carrying these values.
|
|
override = get_context().override_server_args(**defaults)
|
|
override.install()
|
|
self.addCleanup(override.restore)
|
|
initialize_moe_config()
|
|
|
|
def test_lazy_defaults_before_initialize(self):
|
|
from sglang.srt.layers.moe.utils import (
|
|
get_moe_a2a_backend,
|
|
get_moe_runner_backend,
|
|
is_tbo_enabled,
|
|
)
|
|
|
|
reset_context()
|
|
self.assertTrue(get_moe_a2a_backend().is_none())
|
|
self.assertEqual(get_moe_runner_backend().name, "AUTO")
|
|
self.assertFalse(is_tbo_enabled())
|
|
|
|
def test_initialize_materializes_group(self):
|
|
from sglang.srt.layers.moe.utils import get_moe_a2a_backend, is_tbo_enabled
|
|
|
|
self._init(moe_a2a_backend="deepep", enable_two_batch_overlap=True)
|
|
self.assertTrue(get_moe_a2a_backend().is_deepep())
|
|
self.assertTrue(is_tbo_enabled())
|
|
self.assertEqual(get_flags().moe.deepep_config, "")
|
|
|
|
def test_speculative_swap_and_restore(self):
|
|
from sglang.srt.layers.moe.utils import (
|
|
get_moe_a2a_backend,
|
|
get_moe_runner_backend,
|
|
speculative_moe_a2a_backend_context,
|
|
speculative_moe_backend_context,
|
|
)
|
|
|
|
self._init(
|
|
moe_a2a_backend="deepep",
|
|
moe_runner_backend="triton",
|
|
speculative_moe_runner_backend="auto",
|
|
speculative_moe_a2a_backend="none",
|
|
)
|
|
with speculative_moe_backend_context(), speculative_moe_a2a_backend_context():
|
|
self.assertEqual(get_moe_runner_backend().name, "AUTO")
|
|
self.assertTrue(get_moe_a2a_backend().is_none())
|
|
# MTP layers are unquantized: fp4 allgather is forced off
|
|
self.assertTrue(get_flags().moe.disable_fp4_allgather)
|
|
self.assertEqual(get_moe_runner_backend().name, "TRITON")
|
|
self.assertTrue(get_moe_a2a_backend().is_deepep())
|
|
self.assertFalse(get_flags().moe.disable_fp4_allgather)
|
|
|
|
def test_swap_restores_on_exception(self):
|
|
from sglang.srt.layers.moe.utils import (
|
|
get_moe_runner_backend,
|
|
speculative_moe_backend_context,
|
|
)
|
|
|
|
self._init(moe_runner_backend="triton", speculative_moe_runner_backend="auto")
|
|
with self.assertRaises(RuntimeError):
|
|
with speculative_moe_backend_context():
|
|
raise RuntimeError("boom")
|
|
self.assertEqual(get_moe_runner_backend().name, "TRITON")
|
|
|
|
|
|
class TestDpFlagsGroup(_IsolatedServerArgs):
|
|
"""flags.dp: the DP-attention runtime flags; is_dp_attention_enabled is a
|
|
thin shim over the group leaf."""
|
|
|
|
def test_shim_reads_the_leaf(self):
|
|
from sglang.srt.layers.dp_attention import is_dp_attention_enabled
|
|
|
|
reset_context()
|
|
self.assertFalse(is_dp_attention_enabled())
|
|
get_flags().dp.enabled = True
|
|
self.assertTrue(is_dp_attention_enabled())
|
|
|
|
def test_scoped_override_forces_the_predicate(self):
|
|
from sglang.srt.layers.dp_attention import is_dp_attention_enabled
|
|
|
|
reset_context()
|
|
with get_flags().dp.override(enabled=True):
|
|
self.assertTrue(is_dp_attention_enabled())
|
|
self.assertFalse(is_dp_attention_enabled())
|
|
|
|
|
|
class TestResources(_IsolatedServerArgs):
|
|
"""ctx.resources: named slots for process-level resource handles with one
|
|
reset lifecycle; owning accessors keep their creation/publish semantics."""
|
|
|
|
def test_graph_pool_lazy_create_and_reuse(self):
|
|
from types import SimpleNamespace
|
|
|
|
from sglang.srt.model_executor.runner_utils.pool import (
|
|
get_global_graph_memory_pool,
|
|
get_or_create_global_graph_memory_pool,
|
|
)
|
|
|
|
reset_context()
|
|
self.assertIsNone(get_global_graph_memory_pool())
|
|
dev = SimpleNamespace(graph_pool_handle=lambda: object())
|
|
handle = get_or_create_global_graph_memory_pool(dev)
|
|
self.assertIs(get_or_create_global_graph_memory_pool(dev), handle)
|
|
|
|
def test_expert_recorder_noop_default_and_injection(self):
|
|
from sglang.srt.eplb.expert_distribution import (
|
|
get_global_expert_distribution_recorder,
|
|
)
|
|
from sglang.srt.runtime_context import get_resources
|
|
|
|
reset_context()
|
|
self.assertEqual(
|
|
type(get_global_expert_distribution_recorder()).__name__,
|
|
"_ExpertDistributionRecorderNoop",
|
|
)
|
|
with get_resources().override(expert_distribution_recorder="mock"):
|
|
self.assertEqual(get_global_expert_distribution_recorder(), "mock")
|
|
|
|
def test_expert_location_metadata_publish_once_until_reset(self):
|
|
from sglang.srt.eplb.expert_location import (
|
|
get_global_expert_location_metadata,
|
|
set_global_expert_location_metadata,
|
|
)
|
|
|
|
reset_context()
|
|
self.assertIsNone(get_global_expert_location_metadata())
|
|
set_global_expert_location_metadata("meta")
|
|
with self.assertRaises(AssertionError):
|
|
set_global_expert_location_metadata("again")
|
|
reset_context()
|
|
self.assertIsNone(get_global_expert_location_metadata())
|
|
|
|
|
|
class TestNamedStreams(_IsolatedServerArgs):
|
|
"""ctx.get_stream(name): keyed get-or-create (the persistent-buffer
|
|
pattern); set_stream installs explicitly."""
|
|
|
|
def test_get_or_create_shares_by_name(self):
|
|
from unittest.mock import patch
|
|
|
|
reset_context()
|
|
created = []
|
|
|
|
class _FakeStream:
|
|
def __init__(self):
|
|
created.append(self)
|
|
|
|
with patch("torch.cuda.Stream", _FakeStream):
|
|
a = get_context().get_stream("alt")
|
|
b = get_context().get_stream("alt")
|
|
c = get_context().get_stream("other")
|
|
self.assertIs(a, b)
|
|
self.assertIsNot(a, c)
|
|
self.assertEqual(len(created), 2)
|
|
|
|
def test_get_buffer_keyed_lazy(self):
|
|
reset_context()
|
|
created = []
|
|
|
|
def factory():
|
|
created.append(object())
|
|
return created[-1]
|
|
|
|
a = get_context().get_buffer("ws", factory)
|
|
b = get_context().get_buffer("ws", factory)
|
|
self.assertIs(a, b)
|
|
self.assertEqual(len(created), 1)
|
|
self.assertIsNot(get_context().get_buffer("other", factory), a)
|
|
|
|
def test_set_stream_installs_explicitly(self):
|
|
reset_context()
|
|
sentinel = object()
|
|
get_context().set_stream("alt", sentinel)
|
|
self.assertIs(get_context().get_stream("alt"), sentinel)
|
|
|
|
def test_reset_clears_the_registry(self):
|
|
reset_context()
|
|
get_context().set_stream("alt", object())
|
|
reset_context()
|
|
self.assertEqual(get_context().resources.streams, {})
|
|
|
|
def test_capturer_slots_roundtrip_and_reset(self):
|
|
from sglang.srt.state_capturer.indexer_topk import (
|
|
get_global_indexer_capturer,
|
|
set_global_indexer_capturer,
|
|
)
|
|
from sglang.srt.state_capturer.routed_experts import (
|
|
get_global_experts_capturer,
|
|
set_global_experts_capturer,
|
|
)
|
|
|
|
reset_context()
|
|
self.assertIsNone(get_global_indexer_capturer())
|
|
self.assertIsNone(get_global_experts_capturer())
|
|
indexer, experts = object(), object()
|
|
set_global_indexer_capturer(indexer)
|
|
set_global_experts_capturer(experts)
|
|
self.assertIs(get_global_indexer_capturer(), indexer)
|
|
self.assertIs(get_global_experts_capturer(), experts)
|
|
reset_context()
|
|
self.assertIsNone(get_global_indexer_capturer())
|
|
self.assertIsNone(get_global_experts_capturer())
|
|
|
|
def test_tcp_store_slot_roundtrip_and_reset(self):
|
|
from sglang.srt.distributed.utils import (
|
|
get_global_tcp_store,
|
|
set_global_tcp_store,
|
|
)
|
|
|
|
reset_context()
|
|
self.assertIsNone(get_global_tcp_store())
|
|
store = object()
|
|
set_global_tcp_store(store)
|
|
self.assertIs(get_global_tcp_store(), store)
|
|
reset_context()
|
|
self.assertIsNone(get_global_tcp_store())
|
|
|
|
def test_trace_level_env_seeded_lazy_default(self):
|
|
from sglang.srt.observability.trace import (
|
|
get_global_trace_level,
|
|
set_global_trace_level,
|
|
)
|
|
|
|
reset_context()
|
|
with patch.dict(os.environ, {}, clear=False):
|
|
os.environ.pop("SGLANG_TRACE_LEVEL", None)
|
|
self.assertEqual(get_global_trace_level(), 3)
|
|
set_global_trace_level(5)
|
|
self.assertEqual(get_global_trace_level(), 5)
|
|
reset_context()
|
|
with patch.dict(os.environ, {"SGLANG_TRACE_LEVEL": "1"}):
|
|
self.assertEqual(get_global_trace_level(), 1)
|
|
|
|
|
|
class TestEpBufferState(_IsolatedServerArgs):
|
|
"""EP dispatcher buffer managers: state lives on ctx.resources; the
|
|
facade keeps the mode-transition and clean semantics."""
|
|
|
|
def test_deepep_dispatch_mode_transitions_and_reset(self):
|
|
try:
|
|
from sglang.srt.layers.moe.token_dispatcher.deepep import DeepEPBuffer
|
|
except ImportError:
|
|
self.skipTest("deep_ep not installed")
|
|
|
|
reset_context()
|
|
cleans = []
|
|
|
|
class _FakeBuffer:
|
|
low_latency_mode = True
|
|
|
|
def clean_low_latency_buffer(self, *args):
|
|
cleans.append(args)
|
|
|
|
state = DeepEPBuffer._state()
|
|
state.buffer = _FakeBuffer()
|
|
state.hidden_size = 7168
|
|
state.num_max_dispatch_tokens_per_rank = 128
|
|
state.num_experts = 256
|
|
|
|
DeepEPBuffer.set_dispatch_mode_as_normal()
|
|
# NORMAL -> LOW_LATENCY must clean the low-latency buffer once.
|
|
DeepEPBuffer.set_dispatch_mode_as_low_latency()
|
|
self.assertEqual(cleans, [(128, 7168, 256)])
|
|
# LOW_LATENCY -> LOW_LATENCY must not clean again.
|
|
DeepEPBuffer.set_dispatch_mode_as_low_latency()
|
|
self.assertEqual(len(cleans), 1)
|
|
|
|
reset_context()
|
|
self.assertIsNone(DeepEPBuffer._state().buffer)
|
|
|
|
|
|
class TestForwardFlags(_IsolatedServerArgs):
|
|
"""ctx.forward: contextvar-backed per-forward flags; scoped() restores,
|
|
threads see defaults."""
|
|
|
|
def test_scoped_set_restore_and_nesting(self):
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
fwd = get_forward()
|
|
self.assertFalse(fwd.multi_stream)
|
|
with fwd.scoped(multi_stream=True):
|
|
self.assertTrue(fwd.multi_stream)
|
|
with fwd.scoped(multi_stream=False):
|
|
self.assertFalse(fwd.multi_stream)
|
|
self.assertTrue(fwd.multi_stream)
|
|
self.assertFalse(fwd.multi_stream)
|
|
|
|
def test_scoped_restores_on_exception_and_validates_keys(self):
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
fwd = get_forward()
|
|
with self.assertRaises(RuntimeError):
|
|
with fwd.scoped(moe_output_buffer="buf"):
|
|
raise RuntimeError("boom")
|
|
self.assertIsNone(fwd.moe_output_buffer)
|
|
with self.assertRaises(ValueError):
|
|
with fwd.scoped(nope=1):
|
|
pass
|
|
with self.assertRaises(AttributeError):
|
|
fwd.multi_stream = True # attribute writes are rejected
|
|
|
|
def test_threads_see_defaults(self):
|
|
import threading
|
|
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
fwd = get_forward()
|
|
seen = {}
|
|
with fwd.scoped(multi_stream=True):
|
|
|
|
def probe():
|
|
seen["value"] = get_forward().multi_stream
|
|
|
|
worker = threading.Thread(target=probe)
|
|
worker.start()
|
|
worker.join()
|
|
self.assertFalse(seen["value"]) # a new thread sees the default
|
|
|
|
def test_graph_visible_flags_trace_under_torch_compile(self):
|
|
# Regression: dynamo cannot trace ContextVar.get, and these flags are
|
|
# read inside compiled model code (vocab embedding, communicator, DP
|
|
# gather) — they must stay plain-slot backed. fullgraph=True turns
|
|
# any graph break back into a failure.
|
|
import torch
|
|
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
|
|
@torch.compile(fullgraph=True, backend="eager", dynamic=False)
|
|
def probe(x):
|
|
fwd = get_forward()
|
|
if fwd.attn_input_scattered:
|
|
x = x + 1
|
|
if fwd.is_extend_in_batch:
|
|
x = x + 2
|
|
if fwd.fuse_mlp_allreduce:
|
|
x = x + 4
|
|
if fwd.mlp_reduce_scatter:
|
|
x = x + 8
|
|
if fwd.flashinfer_trtllm_bypass:
|
|
x = x + 16
|
|
return x
|
|
|
|
self.assertEqual(probe(torch.zeros(())).item(), 0)
|
|
with get_forward().scoped(attn_input_scattered=True):
|
|
self.assertEqual(probe(torch.zeros(())).item(), 1)
|
|
get_forward().set("is_extend_in_batch", True)
|
|
self.assertEqual(probe(torch.zeros(())).item(), 2)
|
|
get_forward().set("is_extend_in_batch", False)
|
|
with get_forward().scoped(
|
|
fuse_mlp_allreduce=True,
|
|
mlp_reduce_scatter=True,
|
|
flashinfer_trtllm_bypass=True,
|
|
):
|
|
self.assertEqual(probe(torch.zeros(())).item(), 28)
|
|
self.assertEqual(probe(torch.zeros(())).item(), 0)
|
|
|
|
def test_parallel_config_leaves_trace_under_torch_compile(self):
|
|
# Regression: gate helpers such as ``enable_moe_dense_fully_dp()`` read
|
|
# parallel config leaves inside compiled model forwards, which must
|
|
# stay dynamo-traceable (``object.__getattribute__`` graph-breaks).
|
|
# fullgraph=True turns any graph break back into a failure.
|
|
import torch
|
|
|
|
from sglang.srt.runtime_context import get_parallel
|
|
|
|
reset_context()
|
|
with get_context().override_server_args(moe_dense_tp_size=1, dwdp_size=4):
|
|
|
|
@torch.compile(fullgraph=True, backend="eager", dynamic=False)
|
|
def probe(x):
|
|
par = get_parallel()
|
|
if par.enable_prefill_context_parallel:
|
|
x = x + 1
|
|
if par.moe_dense_tp_size == 1:
|
|
x = x + 2
|
|
if par.dwdp_size > 1:
|
|
x = x + 4
|
|
return x
|
|
|
|
self.assertEqual(probe(torch.zeros(())).item(), 6)
|
|
|
|
def test_graph_visible_flags_are_process_visible_across_threads(self):
|
|
# Documented divergence from the contextvar-backed flags: plain slots
|
|
# are process-global (the storage form these flags had before the
|
|
# tier), so another thread sees the current value, not the default.
|
|
import threading
|
|
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
seen = {}
|
|
with get_forward().scoped(attn_input_scattered=True):
|
|
|
|
def probe():
|
|
seen["value"] = get_forward().attn_input_scattered
|
|
|
|
worker = threading.Thread(target=probe)
|
|
worker.start()
|
|
worker.join()
|
|
self.assertTrue(seen["value"])
|
|
self.assertFalse(get_forward().attn_input_scattered)
|
|
|
|
def test_multi_stream_shims(self):
|
|
from sglang.srt.utils.multi_stream_utils import (
|
|
do_multi_stream,
|
|
with_multi_stream,
|
|
)
|
|
|
|
reset_context()
|
|
self.assertFalse(do_multi_stream())
|
|
with with_multi_stream(True):
|
|
self.assertTrue(do_multi_stream())
|
|
self.assertFalse(do_multi_stream())
|
|
|
|
def test_attn_tp_context_per_forward_slots(self):
|
|
from types import SimpleNamespace
|
|
|
|
from sglang.srt.layers.communicator import get_attn_tp_context
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
ctx = get_attn_tp_context()
|
|
self.assertFalse(ctx.input_scattered)
|
|
fb = SimpleNamespace(
|
|
forward_mode=SimpleNamespace(
|
|
is_extend=lambda: False, is_target_verify=lambda: False
|
|
),
|
|
input_ids=None,
|
|
can_run_tbo=False,
|
|
)
|
|
sentinel = SimpleNamespace(fetch_qkv_latent=lambda: "qkv")
|
|
with ctx.maybe_input_scattered(fb):
|
|
ctx.set_attn_inputs(sentinel)
|
|
self.assertEqual(ctx.fetch_qkv_latent(), "qkv")
|
|
# attn inputs are cleared at scope exit, flag restored
|
|
self.assertIsNone(get_forward().attn_inputs)
|
|
self.assertFalse(ctx.input_scattered)
|
|
|
|
def test_dp_buffer_state_split(self):
|
|
import torch
|
|
|
|
from sglang.srt.layers.dp_attention import _DpGatheredBufferWrapper as wrapper
|
|
from sglang.srt.layers.dp_attention import (
|
|
get_dp_dtype,
|
|
get_dp_global_num_tokens,
|
|
get_global_dp_buffer_len,
|
|
is_dp_max_padding,
|
|
set_dp_buffer_len,
|
|
)
|
|
|
|
reset_context()
|
|
# metadata is init-static (flags.dp); sizing is per-forward sticky
|
|
wrapper.set_metadata(64, torch.float16, torch.device("cpu"))
|
|
self.assertEqual(get_dp_dtype(), torch.float16)
|
|
set_dp_buffer_len(128, 32, True, [64, 64])
|
|
self.assertEqual(get_global_dp_buffer_len(), 128)
|
|
self.assertTrue(is_dp_max_padding())
|
|
self.assertEqual(get_dp_global_num_tokens(), [64, 64])
|
|
set_dp_buffer_len(256, 64, False) # sticky until the next write
|
|
self.assertEqual(get_global_dp_buffer_len(), 256)
|
|
self.assertFalse(is_dp_max_padding())
|
|
self.assertIsNone(get_dp_global_num_tokens())
|
|
reset_context()
|
|
self.assertIsNone(get_dp_dtype())
|
|
|
|
def test_is_extend_in_batch_sticky_within_thread(self):
|
|
from sglang.srt.layers.dp_attention import (
|
|
get_is_extend_in_batch,
|
|
set_is_extend_in_batch,
|
|
)
|
|
|
|
reset_context()
|
|
self.assertFalse(get_is_extend_in_batch())
|
|
set_is_extend_in_batch(True)
|
|
self.assertTrue(get_is_extend_in_batch()) # sticky until next write
|
|
set_is_extend_in_batch(False)
|
|
self.assertFalse(get_is_extend_in_batch())
|
|
|
|
def test_moe_output_buffer_ctx(self):
|
|
from sglang.srt.layers.moe.moe_runner.base import moe_output_buffer_ctx
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
sentinel = object()
|
|
with moe_output_buffer_ctx(sentinel):
|
|
self.assertIs(get_forward().moe_output_buffer, sentinel)
|
|
self.assertIsNone(get_forward().moe_output_buffer)
|
|
|
|
def test_mlp_comm_forward_flags(self):
|
|
"""Decoder-published MLP collective flags: scoped restore + skip helpers."""
|
|
from sglang.srt.layers.moe.utils import (
|
|
should_skip_mlp_all_reduce,
|
|
should_skip_post_experts_all_reduce,
|
|
)
|
|
from sglang.srt.runtime_context import get_forward
|
|
|
|
reset_context()
|
|
fwd = get_forward()
|
|
self.assertFalse(fwd.fuse_mlp_allreduce)
|
|
self.assertFalse(fwd.mlp_reduce_scatter)
|
|
self.assertFalse(fwd.flashinfer_trtllm_bypass)
|
|
self.assertFalse(should_skip_mlp_all_reduce())
|
|
|
|
with fwd.scoped(fuse_mlp_allreduce=True):
|
|
self.assertTrue(fwd.fuse_mlp_allreduce)
|
|
self.assertTrue(should_skip_mlp_all_reduce())
|
|
# Fusion alone is enough to skip post-experts AR.
|
|
self.assertTrue(should_skip_post_experts_all_reduce(is_tp_path=True))
|
|
self.assertFalse(fwd.fuse_mlp_allreduce)
|
|
self.assertFalse(should_skip_mlp_all_reduce())
|
|
|
|
with fwd.scoped(mlp_reduce_scatter=True):
|
|
self.assertTrue(fwd.mlp_reduce_scatter)
|
|
self.assertTrue(should_skip_mlp_all_reduce())
|
|
self.assertFalse(fwd.mlp_reduce_scatter)
|
|
|
|
with fwd.scoped(flashinfer_trtllm_bypass=True):
|
|
self.assertTrue(fwd.flashinfer_trtllm_bypass)
|
|
self.assertFalse(fwd.flashinfer_trtllm_bypass)
|
|
|
|
def test_dp_reduce_scatterv_requires_single_rank_attention_dp_shards(self):
|
|
from sglang.srt.layers.moe.utils import should_use_dp_reduce_scatterv
|
|
|
|
reset_context()
|
|
with patch(
|
|
"sglang.srt.layers.moe.utils.is_dp_attention_enabled",
|
|
return_value=True,
|
|
):
|
|
# The optimized path is valid when the collective group and the
|
|
# variable-split list have the same number of entries.
|
|
with get_parallel().override(tp_size=8, attn_dp_size=8, moe_ep_size=8):
|
|
self.assertTrue(should_use_dp_reduce_scatterv())
|
|
|
|
# Otherwise the standard all-reduce plus scatter path must be used.
|
|
with get_parallel().override(tp_size=8, attn_dp_size=2, moe_ep_size=2):
|
|
self.assertFalse(should_use_dp_reduce_scatterv())
|
|
|
|
|
|
class TestPublishLifecycle(_IsolatedServerArgs):
|
|
"""Publish installs the resolved server_args and seeds the capture tier."""
|
|
|
|
def _publish(self, **kw):
|
|
args = _FakeResolvedArgs(**kw)
|
|
get_context().set_server_args(args)
|
|
return args
|
|
|
|
def test_capture_tier_seeded_at_publish(self):
|
|
args = self._publish(page_size=1)
|
|
args.enable_torch_compile = True
|
|
get_context().set_server_args(args) # re-publish picks up the value
|
|
self.assertTrue(get_flags().capture.enable_torch_compile)
|
|
# capture-time write (B4) targets the capture leaf
|
|
get_flags().capture.enable_torch_compile = False
|
|
self.assertFalse(get_flags().capture.enable_torch_compile)
|
|
|
|
def test_capture_tier_defaults_for_sentinel_publish(self):
|
|
get_context().set_server_args(object())
|
|
self.assertFalse(get_flags().capture.enable_torch_compile)
|
|
|
|
|
|
class TestDerivedPredicatesAgreeAcrossTiers(_IsolatedServerArgs):
|
|
"""One definition per predicate, checked rather than asserted in prose.
|
|
|
|
Each of these exists twice by construction -- once over a config-shaped
|
|
object (the resolution pipeline's `*_of` helper, which `ServerArgs`
|
|
delegates to) and once over the published bags. The pair must agree on
|
|
every input, or a decision made before publish differs from the same
|
|
decision made after it.
|
|
"""
|
|
|
|
_STRATEGIES = ("auto", "no_buffer", "extra_buffer", "extra_buffer_lazy")
|
|
|
|
def test_mamba_extra_buffer_matches_the_member(self):
|
|
from sglang.srt.runtime_context import (
|
|
mamba_extra_buffer_enabled,
|
|
mamba_extra_buffer_lazy_enabled,
|
|
)
|
|
|
|
for disable_radix_cache in (False, True):
|
|
for strategy in self._STRATEGIES:
|
|
with self.subTest(radix=disable_radix_cache, strategy=strategy):
|
|
args = _FakeResolvedArgs(
|
|
disable_radix_cache=disable_radix_cache,
|
|
mamba_radix_cache_strategy=strategy,
|
|
)
|
|
get_context().set_server_args(args)
|
|
self.assertEqual(
|
|
ServerArgs.enable_mamba_extra_buffer(args),
|
|
mamba_extra_buffer_enabled(),
|
|
)
|
|
self.assertEqual(
|
|
ServerArgs.enable_mamba_extra_buffer_lazy(args),
|
|
mamba_extra_buffer_lazy_enabled(),
|
|
)
|
|
|
|
def test_prefill_buffer_ceiling_matches_the_member(self):
|
|
from sglang.srt.runtime_context import max_prefill_buffer_tokens
|
|
|
|
for chunked in (-1, 0, 1024, 8192):
|
|
for dynamic in (False, True):
|
|
for pp in (1, 4):
|
|
for max_prefill in (0, 2048, 16384):
|
|
with self.subTest(
|
|
chunked=chunked,
|
|
dynamic=dynamic,
|
|
pp=pp,
|
|
max_prefill=max_prefill,
|
|
):
|
|
args = _FakeResolvedArgs(
|
|
chunked_prefill_size=chunked,
|
|
enable_dynamic_chunking=dynamic,
|
|
pp_size=pp,
|
|
max_prefill_tokens=max_prefill,
|
|
)
|
|
get_context().set_server_args(args)
|
|
self.assertEqual(
|
|
ServerArgs.max_prefill_buffer_tokens(args),
|
|
max_prefill_buffer_tokens(),
|
|
)
|
|
|
|
def test_activation_reserve_matches_the_member(self):
|
|
from types import SimpleNamespace
|
|
|
|
from sglang.srt.runtime_context import pre_capture_activation_reserve_mb
|
|
|
|
graph = SimpleNamespace(decode=SimpleNamespace(max_bs=64))
|
|
cases = (
|
|
dict(disaggregation_mode="null", chunked_prefill_size=8192),
|
|
dict(disaggregation_mode="null", chunked_prefill_size=-1),
|
|
dict(
|
|
disaggregation_mode="null",
|
|
chunked_prefill_size=-1,
|
|
max_prefill_tokens=1024,
|
|
),
|
|
dict(disaggregation_mode="decode", max_running_requests=32),
|
|
dict(disaggregation_mode="decode", max_running_requests=None),
|
|
dict(
|
|
disaggregation_mode="decode",
|
|
max_running_requests=None,
|
|
speculative_num_draft_tokens=4,
|
|
),
|
|
dict(
|
|
disaggregation_mode="null",
|
|
chunked_prefill_size=8192,
|
|
tp_size=8,
|
|
pp_size=2,
|
|
),
|
|
)
|
|
for case in cases:
|
|
for gpu_mem in (None, 20 * 1024, 80 * 1024):
|
|
with self.subTest(gpu_mem=gpu_mem, **case):
|
|
args = _FakeResolvedArgs(cuda_graph_config=graph, **case)
|
|
get_context().set_server_args(args)
|
|
self.assertEqual(
|
|
ServerArgs.pre_capture_activation_reserve_mb(args, gpu_mem),
|
|
pre_capture_activation_reserve_mb(gpu_mem),
|
|
)
|
|
|
|
def test_remote_instance_transfer_engine_matches_the_member(self):
|
|
from sglang.srt.runtime_context import remote_instance_transfer_engine_enabled
|
|
|
|
backends = ("nccl", "transfer_engine", "modelexpress")
|
|
transports = (None, '{"transport": "transfer_engine"}', '{"transport": "nixl"}')
|
|
for seed_via_te in (False, True):
|
|
for load_format in ("auto", "remote_instance"):
|
|
for backend in backends:
|
|
for mx in transports:
|
|
with self.subTest(
|
|
seed=seed_via_te,
|
|
load_format=load_format,
|
|
backend=backend,
|
|
modelexpress=mx,
|
|
):
|
|
args = _FakeResolvedArgs(
|
|
load_format=load_format,
|
|
remote_instance_weight_loader_backend=backend,
|
|
remote_instance_weight_loader_start_seed_via_transfer_engine=seed_via_te,
|
|
modelexpress_config=mx,
|
|
)
|
|
get_context().set_server_args(args)
|
|
for override in (None, "remote_instance", "auto"):
|
|
self.assertEqual(
|
|
ServerArgs.remote_instance_weight_loader_use_transfer_engine(
|
|
args, override
|
|
),
|
|
remote_instance_transfer_engine_enabled(override),
|
|
)
|
|
|
|
def test_attention_backends_match_the_member(self):
|
|
from sglang.srt.runtime_context import attention_backends
|
|
|
|
backends = (None, "fa3", "triton")
|
|
for base in backends:
|
|
for prefill in backends:
|
|
for decode in backends:
|
|
with self.subTest(base=base, prefill=prefill, decode=decode):
|
|
args = _FakeResolvedArgs(
|
|
attention_backend=base,
|
|
prefill_attention_backend=prefill,
|
|
decode_attention_backend=decode,
|
|
)
|
|
get_context().set_server_args(args)
|
|
self.assertEqual(
|
|
ServerArgs.get_attention_backends(args),
|
|
attention_backends(),
|
|
)
|
|
|
|
|
|
class TestAdaptiveDraftBoundLifecycle(_IsolatedServerArgs):
|
|
"""The adaptive draft-token bound is memoized on the config path, so the
|
|
memo has to end with the publication it was computed under.
|
|
|
|
Without that, a process that republishes with the same adaptive-config path
|
|
-- the file having been rewritten in between -- keeps the previous bound and
|
|
under-allocates the draft-token buffers sized from it.
|
|
"""
|
|
|
|
def _write_config(self, steps):
|
|
path = os.path.join(tempfile.mkdtemp(prefix="adaptive_cfg_"), "adaptive.json")
|
|
self.addCleanup(shutil.rmtree, os.path.dirname(path), ignore_errors=True)
|
|
with open(path, "w") as handle:
|
|
json.dump({"1": {"candidate_steps": steps}}, handle)
|
|
return path
|
|
|
|
def test_republishing_recomputes_the_bound(self):
|
|
path = self._write_config([2])
|
|
get_context().set_server_args(
|
|
_FakeResolvedArgs(
|
|
speculative_num_draft_tokens=3,
|
|
speculative_adaptive=True,
|
|
speculative_adaptive_config=path,
|
|
)
|
|
)
|
|
self.assertEqual(max_speculative_num_draft_tokens(), 3)
|
|
|
|
with open(path, "w") as handle:
|
|
json.dump({"1": {"candidate_steps": [4]}}, handle)
|
|
# Same path, new contents: the memo must not survive the republish.
|
|
get_context().set_server_args(
|
|
_FakeResolvedArgs(
|
|
speculative_num_draft_tokens=3,
|
|
speculative_adaptive=True,
|
|
speculative_adaptive_config=path,
|
|
)
|
|
)
|
|
self.assertEqual(max_speculative_num_draft_tokens(), 5)
|
|
|
|
def test_reset_clears_the_bound(self):
|
|
path = self._write_config([2])
|
|
get_context().set_server_args(
|
|
_FakeResolvedArgs(
|
|
speculative_num_draft_tokens=3,
|
|
speculative_adaptive=True,
|
|
speculative_adaptive_config=path,
|
|
)
|
|
)
|
|
self.assertEqual(max_speculative_num_draft_tokens(), 3)
|
|
reset_context()
|
|
with open(path, "w") as handle:
|
|
json.dump({"1": {"candidate_steps": [6]}}, handle)
|
|
get_context().set_server_args(
|
|
_FakeResolvedArgs(
|
|
speculative_num_draft_tokens=3,
|
|
speculative_adaptive=True,
|
|
speculative_adaptive_config=path,
|
|
)
|
|
)
|
|
self.assertEqual(max_speculative_num_draft_tokens(), 7)
|
|
|
|
|
|
class TestNamedAccessorsCallWhatTheyWrap(CustomTestCase):
|
|
"""A named accessor must *call* a member that is a method.
|
|
|
|
`return get_server_args().x` hands back a bound method when `x` is defined
|
|
with `def`; the failure then lands far away, in whatever arithmetic the
|
|
caller does with it. Checked statically so accessors that need a real model
|
|
config are covered too.
|
|
"""
|
|
|
|
def test_accessors_that_wrap_methods_call_them(self):
|
|
import ast
|
|
import functools
|
|
import inspect
|
|
|
|
import sglang.srt.runtime_context as rc
|
|
from sglang.srt.server_args import ServerArgs
|
|
|
|
tree = ast.parse(inspect.getsource(rc))
|
|
wrong = []
|
|
for node in tree.body:
|
|
if not isinstance(node, ast.FunctionDef):
|
|
continue
|
|
for inner in ast.walk(node):
|
|
if not (isinstance(inner, ast.Return) and inner.value is not None):
|
|
continue
|
|
value = inner.value
|
|
called = isinstance(value, ast.Call)
|
|
target = value.func if called else value
|
|
if not (
|
|
isinstance(target, ast.Attribute)
|
|
and isinstance(target.value, ast.Call)
|
|
and isinstance(target.value.func, ast.Name)
|
|
and target.value.func.id == "get_server_args"
|
|
):
|
|
continue
|
|
member = getattr(ServerArgs, target.attr, None)
|
|
# A `property` / `functools.cached_property` member is already
|
|
# evaluated by the attribute access, so it is named here to keep
|
|
# the failure message from calling it "not a method" -- the fix
|
|
# for those is the opposite one.
|
|
kind = (
|
|
"a property"
|
|
if isinstance(member, (property, functools.cached_property))
|
|
else "not a method"
|
|
)
|
|
if inspect.isfunction(member) and not called:
|
|
wrong.append(
|
|
f"{node.name}(): returns ServerArgs.{target.attr} without "
|
|
"calling it, so callers get a bound method"
|
|
)
|
|
if not inspect.isfunction(member) and called:
|
|
wrong.append(
|
|
f"{node.name}(): calls ServerArgs.{target.attr}, which is "
|
|
f"{kind} -- the attribute access already produced the value"
|
|
)
|
|
self.assertEqual([], wrong, "\n".join(wrong))
|
|
|
|
|
|
class TestParallelLeafReads(_IsolatedServerArgs):
|
|
"""The contract ``ParallelContext.__getattr__`` answers a parallel leaf on."""
|
|
|
|
def test_a_leaf_answers_what_resolution_decided(self):
|
|
from sglang.srt.arg_groups.overrides import resolution_result
|
|
|
|
with get_context().override_server_args() as server_args:
|
|
self.assertEqual(
|
|
resolution_result(server_args, "nccl_port"),
|
|
get_parallel().nccl_port,
|
|
"a parallel leaf read off the context disagreed with what "
|
|
"resolution decided",
|
|
)
|
|
|
|
def test_before_publish_the_error_names_the_namespace(self):
|
|
with self.assertRaisesRegex(ValueError, r"'parallel' not published"):
|
|
getattr(ParallelContext(), "nccl_port")
|
|
|
|
def test_an_unknown_name_is_still_an_attribute_error(self):
|
|
with self.assertRaisesRegex(AttributeError, r"has no 'not_a_leaf'"):
|
|
getattr(ParallelContext(), "not_a_leaf")
|
|
|
|
|
|
class TestDerivedWidths(_IsolatedOverrides):
|
|
"""The widths no flag sets are computed from the leaves and stamped.
|
|
|
|
`attn_tp_size` and its siblings used to be read back off the group
|
|
coordinator that was built from them, which made the answer depend on
|
|
distributed init and, after an elastic scale, disagree with the leaves.
|
|
"""
|
|
|
|
def setUp(self):
|
|
super().setUp()
|
|
parallel = get_parallel()
|
|
self._saved_derived = dict(parallel._derived)
|
|
parallel.clear_derived_widths()
|
|
self.addCleanup(
|
|
lambda: (
|
|
parallel.clear_derived_widths(),
|
|
parallel.stamp_derived_widths(**self._saved_derived),
|
|
)
|
|
)
|
|
|
|
def test_the_quotients_come_from_the_leaves(self):
|
|
widths = derive_parallel_widths(
|
|
tp_size=8,
|
|
attn_cp_size=1,
|
|
attn_dp_size=2,
|
|
moe_ep_size=4,
|
|
moe_dp_size=2,
|
|
dcp_size=1,
|
|
dcp_enabled=False,
|
|
)
|
|
self.assertEqual(widths["attn_tp_size"], 8 // 2 // 1)
|
|
self.assertEqual(widths["moe_tp_size"], 8 // 4 // 2)
|
|
self.assertEqual(widths["attn_dcp_size"], 1)
|
|
|
|
def test_the_world_size_is_not_stamped(self):
|
|
"""It is not a quotient, and the live getter is right at every moment.
|
|
A stamp taken when the groups are built would answer with the launch
|
|
count after `try_admit_scale_ranks` expands WORLD, and with the joining
|
|
cohort's own width on a scale-joiner, which lays its groups out at
|
|
`tp * pp` while WORLD spans `ep_join_rank_offset + tp * pp`."""
|
|
widths = derive_parallel_widths(
|
|
tp_size=4,
|
|
attn_cp_size=1,
|
|
attn_dp_size=1,
|
|
moe_ep_size=1,
|
|
moe_dp_size=1,
|
|
dcp_size=1,
|
|
dcp_enabled=False,
|
|
)
|
|
self.assertNotIn("world_size", widths)
|
|
parallel = get_parallel()
|
|
parallel.stamp_derived_widths(attn_tp_size=4)
|
|
with patch(f"{_PS}.get_world_size", return_value=9):
|
|
self.assertEqual(parallel.world_size, 9)
|
|
|
|
def test_a_stamped_width_is_what_the_reader_answers_with(self):
|
|
parallel = get_parallel()
|
|
parallel.stamp_derived_widths(attn_tp_size=4, moe_tp_size=1)
|
|
with patch(
|
|
f"{_PS}.get_attn_tensor_model_parallel_world_size",
|
|
side_effect=AssertionError("the group must not be asked"),
|
|
):
|
|
self.assertEqual(parallel.attn_tp_size, 4)
|
|
|
|
def test_an_override_still_wins_over_the_stamp(self):
|
|
parallel = get_parallel()
|
|
parallel.stamp_derived_widths(attn_tp_size=4)
|
|
with parallel.override(attn_tp_size=1):
|
|
self.assertEqual(parallel.attn_tp_size, 1)
|
|
self.assertEqual(parallel.attn_tp_size, 4)
|
|
|
|
def test_without_a_stamp_the_live_group_still_answers(self):
|
|
"""A process that installed groups by hand keeps working."""
|
|
with patch(f"{_PS}.get_attn_tensor_model_parallel_world_size", return_value=2):
|
|
self.assertEqual(get_parallel().attn_tp_size, 2)
|
|
|
|
def test_with_neither_the_failure_names_the_cause(self):
|
|
with patch(
|
|
f"{_PS}.get_attn_tensor_model_parallel_world_size",
|
|
side_effect=AssertionError("attention tp group is not initialized"),
|
|
):
|
|
with self.assertRaisesRegex(RuntimeError, r"derived parallel width"):
|
|
get_parallel().attn_tp_size
|
|
|
|
def test_a_temporary_disable_beats_the_stamp(self):
|
|
"""`disable_dp_size()` runs a draft scope without DP attention. It moves
|
|
the module global the legacy getter reads, so it has to move the derived
|
|
width too -- the stamp wins over the live group, and a scope that left
|
|
it alone would answer with the target model's width for its duration."""
|
|
from sglang.srt.layers import dp_attention
|
|
|
|
parallel = get_parallel()
|
|
parallel.stamp_derived_widths(attn_dp_size=4)
|
|
with patch.object(dp_attention, "_ATTN_DP_SIZE", 4):
|
|
with dp_attention.disable_dp_size():
|
|
self.assertEqual(dp_attention.get_attention_dp_size(), 1)
|
|
self.assertEqual(parallel.attn_dp_size, 1)
|
|
self.assertEqual(parallel.attn_dp_size, 4)
|
|
|
|
def test_the_stamp_is_cleared_and_restamped(self):
|
|
parallel = get_parallel()
|
|
parallel.stamp_derived_widths(attn_dp_size=2)
|
|
self.assertEqual(parallel.attn_dp_size, 2)
|
|
# Elastic scaling restamps where it updates the live width.
|
|
parallel.stamp_derived_widths(attn_dp_size=4)
|
|
self.assertEqual(parallel.attn_dp_size, 4)
|
|
parallel.clear_derived_widths()
|
|
with patch(f"{_DP}.get_attention_dp_size", return_value=1):
|
|
self.assertEqual(parallel.attn_dp_size, 1)
|
|
|
|
def test_reset_context_drops_the_stamp(self):
|
|
"""The stamp belongs to the lifecycle that made it.
|
|
|
|
`_derived_width` prefers the stamp over the live group, so a stamp that
|
|
outlived `reset_context()` would let the next test read the previous
|
|
topology.
|
|
"""
|
|
from sglang.srt.runtime_context import reset_context
|
|
|
|
parallel = get_parallel()
|
|
parallel.stamp_derived_widths(attn_tp_size=4)
|
|
self.assertEqual(parallel.attn_tp_size, 4)
|
|
reset_context()
|
|
with patch(f"{_PS}.get_attn_tensor_model_parallel_world_size", return_value=1):
|
|
self.assertEqual(get_parallel().attn_tp_size, 1)
|
|
|
|
def test_the_arithmetic_has_one_home(self):
|
|
"""`parallel_state` builds its groups from the same dict it stamps, and
|
|
`dp_attention` derives the pair it needs for the ranks, so a second copy
|
|
of a quotient would let two answers to one width drift apart."""
|
|
for rel, spelling in (
|
|
("distributed/parallel_state.py", "derive_parallel_widths("),
|
|
("layers/dp_attention.py", "derive_attention_widths("),
|
|
):
|
|
source = (_SRT / rel).read_text(encoding="utf-8-sig")
|
|
self.assertNotIn("// attn_dp_size // attn_cp_size", source, rel)
|
|
self.assertNotIn("// attn_cp_size // attn_dp_size", source, rel)
|
|
self.assertNotIn("// moe_ep_size // moe_dp_size", source, rel)
|
|
self.assertNotIn("if enable_dp_attention else 1", source, rel)
|
|
self.assertIn(spelling, source, rel)
|
|
|
|
def test_the_rank_helper_agrees_with_the_stamp(self):
|
|
"""`compute_dp_attention_world_info` keeps the ranks and takes the
|
|
widths from the same derivation the stamp uses."""
|
|
from sglang.srt.layers.dp_attention import compute_dp_attention_world_info
|
|
|
|
for tp_size, dp_size, attn_cp_size in ((8, 2, 1), (8, 2, 2), (16, 4, 2)):
|
|
_, attn_tp_size, _, attn_dp_size = compute_dp_attention_world_info(
|
|
True, 0, tp_size, dp_size, attn_cp_size
|
|
)
|
|
widths = derive_parallel_widths(
|
|
tp_size=tp_size,
|
|
attn_cp_size=attn_cp_size,
|
|
attn_dp_size=attn_dp_size,
|
|
moe_ep_size=1,
|
|
moe_dp_size=1,
|
|
dcp_size=1,
|
|
dcp_enabled=False,
|
|
)
|
|
self.assertEqual(attn_tp_size, widths["attn_tp_size"])
|
|
self.assertEqual(attn_dp_size, widths["attn_dp_size"])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|