Files
hao-ai-lab-FastVideo/fastvideo2/tests/test_loop.py
T

70 lines
2.2 KiB
Python

"""T0: the driven-loop contract, with a fake loop (no torch, no weights)."""
from fastvideo2.loop import Done, LoopRunner, LoopState, WorkPlan
class FakeLoop:
"""Minimal conforming loop: n steps, each step doubles a counter."""
semantics = "fake.loop/v1"
def __init__(self, *, loop_id: str, n: int = 3):
self.loop_id = loop_id
self.n = n
def init(self, request, instance, inputs):
st = LoopState(loop_id=self.loop_id, request_id=getattr(request, "request_id", "r"))
st.latents = 1
st.scratch["executed"] = 0
st.scratch["inputs"] = dict(inputs)
return st
def next(self, st):
if st.step_idx >= self.n:
return Done()
def run():
st.scratch["executed"] += 1
return {"latents": st.latents * 2}
return WorkPlan(label=f"{self.loop_id}.{st.step_idx}", step=st.step_idx, run=run)
def advance(self, st, result):
st.latents = result["latents"]
st.step_idx += 1
return st
def finalize(self, st):
return {"latents": st.latents, "executed": st.scratch["executed"],
"inputs": st.scratch["inputs"]}
class _Req:
request_id = "req-loop"
def test_next_is_kernel_free():
loop = FakeLoop(loop_id="fake")
st = loop.init(_Req(), None, {})
loop.next(st)
loop.next(st) # planning twice runs nothing
assert st.scratch["executed"] == 0
def test_runner_drives_to_completion_and_observes():
seen = []
loop = FakeLoop(loop_id="fake", n=4)
runner = LoopRunner(loop, _Req(), None, {"x": 9},
observe=lambda label, sec, meta: seen.append(label))
out = runner.run()
assert out["latents"] == 16 and out["executed"] == 4
assert out["inputs"] == {"x": 9}
assert seen == [f"fake.{i}" for i in range(4)]
assert runner.done
def test_build_loop_from_spec():
from fastvideo2.card import LoopSpec
from fastvideo2.loop import build_loop
loop = build_loop(LoopSpec("fake", loop="fastvideo2.tests.test_loop:FakeLoop",
params={"n": 2}))
assert isinstance(loop, FakeLoop) and loop.n == 2 and loop.loop_id == "fake"