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Running on Zero
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b701455 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | import types
import torch
from src.AutoEncoders import VariationalAE
def test_vae_autotune_gates_torch_compile(monkeypatch):
calls = []
compiled_decoder = object()
def fake_compile(module, **kwargs):
calls.append((module, kwargs))
return compiled_decoder
monkeypatch.setattr(torch, "compile", fake_compile, raising=False)
vae = object.__new__(VariationalAE.VAE)
vae.first_stage_model = types.SimpleNamespace(decoder=object())
vae._compiled_decoder = False
vae._autotune_enabled = False
vae._ensure_compiled()
assert calls == []
assert vae._compiled_decoder is False
vae.set_autotune_enabled(True)
vae._ensure_compiled()
vae._ensure_compiled()
assert len(calls) == 1
assert vae.first_stage_model.decoder is compiled_decoder
assert vae._compiled_decoder is True
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