load pretrained worker weights
MittalShruti opened this issue · 2 comments
Hi,
I am trying to load the pretrained workers (from #85)
Model that I am using:
from pase.models.pase import *
ps = pase(frontend=None,
frontend_cfg=frontend_cfg,
minions_cfg=minions_cfg,
cls_lst=cls_lst, regr_lst=regr_lst,
pretrained_ckpt=None,
name='Pase_base')
To import worker weight (for 1 worker):
for m in ps.classification_workers:
m.load_pretrained(ckpt_path='/workers/weights_M-mi-M-mi-721872.ckpt', load_last=True, verbose=True)
break
Error I am getting:
Current Model keys: 5
Current Pt keys: 4
Loading matching keys: ['minion.blocks.0.W.bias', 'minion.blocks.0.act.weight', 'minion.W.weight', 'minion.W.bias']
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-35-3cc20e1ab527> in <module>()
1 for m in ps.classification_workers:
----> 2 m.load_pretrained(ckpt_path='/content/workers/weights_M-mi-M-mi-721872.ckpt', load_last=True, verbose=True)
3 break
1 frames
/content/pase/models/modules.py in load_pretrained_ckpt(self, ckpt_file, load_last, load_opt, verbose)
289 print('Loading matching keys: ', list(pt_dict.keys()))
290 if len(pt_dict.keys()) != len(model_dict.keys()):
--> 291 raise ValueError('WARNING: LOADING DIFFERENT NUM OF KEYS')
292 print('WARNING: LOADING DIFFERENT NUM OF KEYS')
293 # overwrite entries in existing dict
ValueError: WARNING: LOADING DIFFERENT NUM OF KEYS
Hi, I am getting a similar error whilst loading the pretrained worker weights.
classification worker: mi
Current Model keys: 5
Current Model keys: ['minion.blocks.0.W.weight', 'minion.blocks.0.W.bias', 'minion.blocks.0.act.weight', 'minion.W.weight', 'minion.W.bias']
Current Pt keys: 4
Loading matching keys: ['minion.blocks.0.W.bias', 'minion.blocks.0.act.weight', 'minion.W.weight', 'minion.W.bias']
I tried to load other workers as well, it looks like the first key minion.blocks.0.W.weight
has a different shape in the pretrained workers.
In the model, shape of minion.blocks.0.W.weight
= (256, 512, 1)
In the pretrained worker the shape of minion.blocks.0.W.weight
= (256, 1024, 1)
I'd appreciate any help on this.
Regards,
Ashish
Hello! I have been replicating this experiment recently, but during the process of making the dataset config file, do I know where to obtain these files. (-- train_scp data/LibriSpeed/libri_tr.scp -- test_scp data/LibriSpeed/libri_te.scp\
--Libri_ Dict data/LibriSpeed/Libri_ Dict. npy). I look forward to your reply very much. Thank you.