Size mismatch
martinkoenig opened this issue · 0 comments
martinkoenig commented
Hi, I´m trying to run the example sample
python jukebox/sample.py --model=5b_lyrics --name=sample_5b --levels=3 --sample_length_in_seconds=20 \
--total_sample_length_in_seconds=180 --sr=44100 --n_samples=6 --hop_fraction=0.5,0.5,0.125
But I´m getting some strange errors due to size mismatch. Does anybody know whats wrong here?
Restored from C:\Users\Martin/.cache\jukebox/models/5b_lyrics/prior_level_2.pth.tar
Traceback (most recent call last):
File "jukebox/sample.py", line 279, in <module>
fire.Fire(run)
File "C:\Users\Martin\miniconda3\envs\jukebox\lib\site-packages\fire\core.py", line 127, in Fire
component_trace = _Fire(component, args, context, name)
File "C:\Users\Martin\miniconda3\envs\jukebox\lib\site-packages\fire\core.py", line 366, in _Fire
component, remaining_args)
File "C:\Users\Martin\miniconda3\envs\jukebox\lib\site-packages\fire\core.py", line 542, in _CallCallable
result = fn(*varargs, **kwargs)
File "jukebox/sample.py", line 276, in run
save_samples(model, device, hps, sample_hps)
File "jukebox/sample.py", line 181, in save_samples
vqvae, priors = make_model(model, device, hps)
File "c:\users\martin\pycharmprojects\jukebox\jukebox\make_models.py", line 195, in make_model
priors = [make_prior(setup_hparams(priors[level], dict()), vqvae, 'cpu') for level in levels]
File "c:\users\martin\pycharmprojects\jukebox\jukebox\make_models.py", line 195, in <listcomp>
priors = [make_prior(setup_hparams(priors[level], dict()), vqvae, 'cpu') for level in levels]
File "c:\users\martin\pycharmprojects\jukebox\jukebox\make_models.py", line 179, in make_prior
restore_model(hps, prior, hps.restore_prior)
File "c:\users\martin\pycharmprojects\jukebox\jukebox\make_models.py", line 61, in restore_model
model.load_state_dict(checkpoint['model'])
File "C:\Users\Martin\miniconda3\envs\jukebox\lib\site-packages\torch\nn\modules\module.py", line 777, in load_state_dict
self.__class__.__name__, "\n\t".join(error_msgs)))
RuntimeError: Error(s) in loading state_dict for SimplePrior:
Missing key(s) in state_dict: "prime_prior.start_token", "prime_prior.x_emb.weight", "prime_prior.pos_emb.pos_emb", "prime_prior.transformer._attn_mods.0.attn.c_attn.w", "prime_prior.transformer._attn_mods.0.attn.c_attn.b", "prime_prior.transformer._attn_mods.0.attn.c_proj.w", "prime_prior.transformer._attn_mods.0.attn.c_proj.b", "prime_prior.transformer._attn_mods.0.ln_0.weight", "prime_prior.transformer._attn_mods.0.ln_0.bias", "prime_prior.transformer._attn_mods.0.mlp.c_fc.w", "prime_prior.transformer._attn_mods.0.mlp.c_fc.b", "prime_prior.transformer._attn_mods.0.mlp.c_proj.w", "prime_prior.transformer._attn_mods.0.mlp.c_proj.b", "prime_prior.transformer._attn_mods.0.ln_1.weight", "prime_prior.transformer._attn_mods.0.ln_1.bias", "prime_prior.transformer._attn_mods.1.attn.c_attn.w", "prime_prior.transformer._attn_mods.1.attn.c_attn.b", "prime_prior.transformer._attn_mods.1.attn.c_proj.w", "prime_prior.transformer._attn_mods.1.attn.c_proj.b", 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size mismatch for prior.transformer._attn_mods.18.attn.c_attn.w: copying a param with shape torch.Size([4800, 3600]) from checkpoint, the shape in current model is torch.Size([4800, 1200]).
size mismatch for prior.transformer._attn_mods.18.attn.c_attn.b: copying a param with shape torch.Size([3600]) from checkpoint, the shape in current model is torch.Size([1200]).
size mismatch for prior.transformer._attn_mods.28.attn.c_attn.w: copying a param with shape torch.Size([4800, 3600]) from checkpoint, the shape in current model is torch.Size([4800, 1200]).
size mismatch for prior.transformer._attn_mods.28.attn.c_attn.b: copying a param with shape torch.Size([3600]) from checkpoint, the shape in current model is torch.Size([1200]).
size mismatch for prior.transformer._attn_mods.38.attn.c_attn.w: copying a param with shape torch.Size([4800, 3600]) from checkpoint, the shape in current model is torch.Size([4800, 1200]).
size mismatch for prior.transformer._attn_mods.38.attn.c_attn.b: copying a param with shape torch.Size([3600]) from checkpoint, the shape in current model is torch.Size([1200]).
size mismatch for prior.transformer._attn_mods.48.attn.c_attn.w: copying a param with shape torch.Size([4800, 3600]) from checkpoint, the shape in current model is torch.Size([4800, 1200]).
size mismatch for prior.transformer._attn_mods.48.attn.c_attn.b: copying a param with shape torch.Size([3600]) from checkpoint, the shape in current model is torch.Size([1200]).
size mismatch for prior.transformer._attn_mods.58.attn.c_attn.w: copying a param with shape torch.Size([4800, 3600]) from checkpoint, the shape in current model is torch.Size([4800, 1200]).
size mismatch for prior.transformer._attn_mods.58.attn.c_attn.b: copying a param with shape torch.Size([3600]) from checkpoint, the shape in current model is torch.Size([1200]).
size mismatch for prior.transformer._attn_mods.68.attn.c_attn.w: copying a param with shape torch.Size([4800, 3600]) from checkpoint, the shape in current model is torch.Size([4800, 1200]).
size mismatch for prior.transformer._attn_mods.68.attn.c_attn.b: copying a param with shape torch.Size([3600]) from checkpoint, the shape in current model is torch.Size([1200]).