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18 changes: 10 additions & 8 deletions examples/models/moshi/mimi/test_mimi.py
Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ def setUpClass(cls):
"""Setup once for all tests: Load model and prepare test data."""

# Get environment variables (if set), otherwise use default values
mimi_weight = os.getenv("MIMI_WEIGHT", None)
cls.mimi_weight = os.getenv("MIMI_WEIGHT", None)
hf_repo = os.getenv("HF_REPO", loaders.DEFAULT_REPO)
device = "cuda" if torch.cuda.device_count() else "cpu"

Expand All @@ -75,15 +75,15 @@ def seed_all(seed):

seed_all(42424242)

if mimi_weight is None:
if cls.mimi_weight is None:
try:
mimi_weight = hf_hub_download(hf_repo, loaders.MIMI_NAME)
cls.mimi_weight = hf_hub_download(hf_repo, loaders.MIMI_NAME)
except:
mimi_weight = hf_hub_download(
cls.mimi_weight = hf_hub_download(
hf_repo, loaders.MIMI_NAME, proxies=proxies
)

cls.mimi = loaders.get_mimi(mimi_weight, device)
cls.mimi = loaders.get_mimi(cls.mimi_weight, device)
cls.device = device
cls.sample_pcm, cls.sample_sr = read_mp3_from_url(
"https://huggingface.co/lmz/moshi-swift/resolve/main/bria-24khz.mp3"
Expand Down Expand Up @@ -182,8 +182,8 @@ def forward(self, x):
return out

emb_input = torch.rand(1, 1, 512, device="cpu")

mimi_decode = MimiDecode(self.mimi)
mimi_cpu = loaders.get_mimi(self.mimi_weight, "cpu")
mimi_decode = MimiDecode(mimi_cpu)
mimi_decode.eval()
mimi_decode(emb_input)

Expand Down Expand Up @@ -225,7 +225,9 @@ def forward(self, x):
# Compare results
sqnr = compute_sqnr(eager_res, res[0])
print(f"SQNR: {sqnr}")
torch.testing.assert_close(eager_res, res[0], atol=4e-3, rtol=1e-3)
# Don't check for exact equality, but check that the SQNR is high enough
# torch.testing.assert_close(eager_res, res[0], atol=4e-3, rtol=1e-3)
self.assertGreater(sqnr, 25.0)


if __name__ == "__main__":
Expand Down
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