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hao-ai-lab-FastVideo/v2/tests/test_extensions.py
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SolitaryThinker a9e5f6ee7a [refactor] rename package mini_fastvideo → v2
Directory rename (git mv, history preserved) plus rewrite of all references: absolute imports in
tests, the zero-dep runner, docstrings, comments, and the README. No behavior change.

Run: python3 -m pytest v2/tests/ -q ; python3 v2/run_tests.py ; python3 -m v2.examples
2026-07-04 17:15:34 +00:00

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3.1 KiB
Python

"""Observers + interceptors (design_v3 §11). The headline: per-request interceptor state is
interleave-safe; a module-global version provably is NOT — which is *why* §11 scopes state to
``LoopState.plugin_state`` per request and per CFG branch.
"""
from __future__ import annotations
from v2._enums import WorkUnitKind
from v2.card import CostModel
from v2.extend import (
InterceptorChain,
InterceptorConflict,
NaNWatch,
Profiler,
ResidualSkipInterceptor,
)
from v2.models import build_default_engine
from v2.parity import assert_interleave_parity
from v2.request import DiffusionParams, TaskType, make_request
from v2.runtime import Engine
def _req(prompt, seed):
return make_request(TaskType.T2V, "wan2.1-1.3b", prompt,
diffusion=DiffusionParams(num_steps=6, seed=seed))
def test_residual_skip_interceptor_is_interleave_safe_and_skips():
eng = build_default_engine(Engine(interceptors=InterceptorChain([ResidualSkipInterceptor(interval=2)])))
assert not assert_interleave_parity(eng, [_req("a", 1), _req("b", 2)])
out = eng.run(_req("c", 3))
assert out.metrics.get("skipped_steps", 0) > 0 # the cache-dit-style skip actually fired
class _GlobalResidualBug:
"""A DELIBERATELY BUGGY interceptor: caches in a CLASS global keyed only by branch (the bug the
cache-dit/TeaCache forks have). Under interleaving, request A reads request B's cached forward."""
plugin_id = "global_bug"
distribution_altering = True
graph_safe = False
_CACHE: dict = {}
def before_step(self, plan, state):
b = str(plan.payload.get("branch", "combined"))
cached = self._CACHE.get(b)
if cached is not None and state.step_idx % 2 != 0:
return {"noise_pred": cached}
return None
def after_step(self, plan, state, result):
self._CACHE[str(plan.payload.get("branch", "combined"))] = result.output.get("noise_pred")
def test_global_state_interceptor_breaks_interleave_parity():
_GlobalResidualBug._CACHE.clear()
eng = build_default_engine(Engine(interceptors=InterceptorChain([_GlobalResidualBug()])))
divs = assert_interleave_parity(eng, [_req("alpha", 1), _req("beta", 2)])
assert divs, "module-global interceptor state MUST break interleave parity (the §11 hazard)"
def test_conflicting_distribution_altering_interceptors_rejected():
try:
InterceptorChain([ResidualSkipInterceptor(), ResidualSkipInterceptor()])
assert False, "two step-skippers must be rejected pre-flight"
except InterceptorConflict:
pass
def test_exact_mode_rejects_distribution_altering():
try:
InterceptorChain([ResidualSkipInterceptor()], exact_mode=True)
assert False
except InterceptorConflict:
pass
def test_profiler_calibrates_cost_model_and_nanwatch_clean():
eng = build_default_engine()
prof, nan = Profiler(), NaNWatch()
eng.observers.add(prof)
eng.observers.add(nan)
eng.run(_req("x", 1))
assert len(prof.samples) > 0
cm = CostModel(kind=WorkUnitKind.DIFFUSION_STEP)
prof.calibrate(cm)
assert cm.base_seconds >= 0.0
assert not nan.tripped # clean run, no NaNs