structural changes

This commit is contained in:
Jai Suphavadeeprasit 2026-03-13 18:49:01 -04:00
parent 12ba3cc3bd
commit a171358f2e
6 changed files with 422 additions and 50 deletions

View file

@ -4,6 +4,7 @@ from types import SimpleNamespace
import pytest
from atroposlib.envs.server_handling.server_baseline import APIServerConfig
from atroposlib.envs.teacher_distillation_env import TeacherDistillationEnv
@ -32,6 +33,20 @@ class _ConcreteTeacherEnv(TeacherDistillationEnv):
return None
class _DummyTokenizer:
name_or_path = "student-model"
def get_vocab(self):
return {"a": 1}
class _CapturingServerManager:
def __init__(self, configs, slurm=False, testing=False):
self.configs = configs
self.slurm = slurm
self.testing = testing
@pytest.mark.asyncio
async def test_attach_teacher_distillation_success():
env = object.__new__(_ConcreteTeacherEnv)
@ -105,6 +120,32 @@ async def test_attach_teacher_distillation_zero_topk_passthrough():
assert out["distill_logprobs"] is not None
@pytest.mark.asyncio
async def test_attach_teacher_distillation_group_override_topk_is_used():
env = object.__new__(_ConcreteTeacherEnv)
env.config = SimpleNamespace(teacher_enabled=True, teacher_top_k=0)
seen_topks = []
async def _fake_fetch(seq, top_k):
seen_topks.append(top_k)
return [[tok] for tok in seq], [[-0.1] for _ in seq]
env.teacher_server = object()
env._fetch_teacher_for_sequence = _fake_fetch
group = {
"tokens": [[1, 2, 3], [4, 5]],
"group_overrides": {"teacher_top_k": 7},
"masks": [[-100, 2, 3], [-100, 5]],
"scores": [1.0, 0.0],
}
out = await TeacherDistillationEnv._attach_teacher_distillation(env, group)
assert seen_topks == [7, 7]
assert out["distill_token_ids"] is not None
assert out["distill_logprobs"] is not None
@pytest.mark.asyncio
async def test_attach_teacher_distillation_group_override_can_skip_fetch():
env = object.__new__(_ConcreteTeacherEnv)
@ -149,3 +190,111 @@ def test_teacher_tokenizer_mismatch_raises(monkeypatch):
env,
teacher_tokenizer_name="teacher-model",
)
def test_init_requires_teacher_server_source(monkeypatch):
from atroposlib.envs import teacher_distillation_env as module
def _fake_base_init(self, config, server_configs, slurm=False, testing=False):
self.config = config
self.tokenizer = _DummyTokenizer()
monkeypatch.setattr(module.BaseEnv, "__init__", _fake_base_init)
config = SimpleNamespace(
teacher_enabled=True,
teacher_top_k=0,
)
with pytest.raises(ValueError, match="teacher_enabled=True requires"):
_ConcreteTeacherEnv(
config=config,
server_configs=[],
)
def test_init_uses_explicit_teacher_server_configs(monkeypatch):
from atroposlib.envs import teacher_distillation_env as module
called = {}
def _fake_base_init(self, config, server_configs, slurm=False, testing=False):
self.config = config
self.tokenizer = _DummyTokenizer()
def _fake_validate(self, teacher_tokenizer_name):
called["teacher_tokenizer_name"] = teacher_tokenizer_name
monkeypatch.setattr(module.BaseEnv, "__init__", _fake_base_init)
monkeypatch.setattr(module, "ServerManager", _CapturingServerManager)
monkeypatch.setattr(
_ConcreteTeacherEnv,
"_validate_teacher_tokenizer_compatibility",
_fake_validate,
)
explicit_cfg = APIServerConfig(
model_name="explicit-model",
tokenizer_name="explicit-tokenizer",
base_url="http://explicit/v1",
api_key="x",
server_type="vllm",
)
config = SimpleNamespace(
teacher_enabled=True,
teacher_top_k=0,
)
env = _ConcreteTeacherEnv(
config=config,
server_configs=[],
teacher_server_configs=[explicit_cfg],
)
assert isinstance(env.teacher_server, _CapturingServerManager)
assert env.teacher_server.configs == [explicit_cfg]
assert called["teacher_tokenizer_name"] == "explicit-tokenizer"
def test_resolve_teacher_server_configs_returns_none_when_unset():
assert (
_ConcreteTeacherEnv._resolve_teacher_server_configs(
default_teacher_server_configs=None,
yaml_config={},
cli_passed_flags={},
)
is None
)
def test_resolve_teacher_server_configs_uses_teacher_namespace(monkeypatch):
from atroposlib.envs import teacher_distillation_env as module
captured = {}
def _fake_resolve(**kwargs):
captured.update(kwargs)
return ["resolved"]
monkeypatch.setattr(module, "resolve_openai_configs", _fake_resolve)
default_cfg = APIServerConfig(
model_name="teacher-model",
base_url="http://teacher/v1",
api_key="x",
server_type="vllm",
)
out = _ConcreteTeacherEnv._resolve_teacher_server_configs(
default_teacher_server_configs=default_cfg,
yaml_config={"teacher": {"tokenizer_name": "teacher-tokenizer"}},
cli_passed_flags={"teacher.base_url": "http://override/v1"},
)
assert out == ["resolved"]
assert captured["openai_config_dict"]["base_url"] == "http://override/v1"
assert captured["openai_config_dict"]["tokenizer_name"] == "teacher-tokenizer"
assert captured["yaml_config"] == {
"openai": {"tokenizer_name": "teacher-tokenizer"}
}
assert captured["cli_passed_flags"] == {"openai.base_url": "http://override/v1"}