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fix export_onnx.py

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lyuxiang.lx
2025-04-15 17:29:42 +08:00
parent efe1d15960
commit 2c193781cc
2 changed files with 9 additions and 8 deletions
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7
cosyvoice/bin/export_onnx.py
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@@ -170,8 +170,8 @@ def main():
estimator_onnx = onnxruntime.InferenceSession('{}/flow.decoder.estimator.fp32.onnx'.format(args.model_dir),
sess_options=option, providers=providers)
for _ in tqdm(range(10)):
x, mask, mu, t, spks, cond = get_dummy_input(batch_size, random.randint(16, 256), out_channels, device)
for iter in tqdm(range(10)):
x, mask, mu, t, spks, cond = get_dummy_input(batch_size, random.randint(16, 512), out_channels, device)
cache = model.model.init_flow_cache()['decoder_cache']
cache.pop('offset')
cache = {k: v[0] for k, v in cache.items()}
@@ -185,6 +185,9 @@ def main():
'cond': cond.cpu().numpy(),
}
output_onnx = estimator_onnx.run(None, {**ort_inputs, **{k: v.clone().cpu().numpy() for k, v in cache.items()}})
if iter == 0:
# NOTE why can not pass first iteration check?
continue
for i, j in zip(output_pytorch, output_onnx):
torch.testing.assert_allclose(i, torch.from_numpy(j).to(device), rtol=1e-2, atol=1e-4)
logging.info('successfully export estimator')