Fbopt matchdiva

[smilesun]

sh run_fbopt_match_diva.sh

comparing output vs setpoint:
[7085897.750000001, -30.02172746658325, 0.0, -1261.7133605957033, 6.6677789211273195]
[7015038.7725, -30.32497723897298, 0.0, -1274.4579399956597, 6.601101131916046]
after epoch: 3,now: 2024-01-16 16:12:00.724106,epoch time: 0:01:26.027096,used: 0:04:57.465544,model: mini_vlcs_te_caltech_diva_b472e25e4_not_commited_2024md_01md_16_16_07_02_seed_0
working direcotry: /home/sunxd/domainlab_master
before controller: current mu: {'beta_d': 0.0009990906643792777, 'beta_y': 0.0009624879443975664, 'beta_x': 0.001, 'gamma_d': 0.001000200053375642, 'mu_recon': 3269.0173724721103}
epo reg loss: [7085897.75, -30.02172746658325, 0.0, -1261.713360595703, 6.6677789211273195]
name reg loss:['mu_recon', 'beta_d', 'beta_x', 'beta_y', 'gamma_d']
after contoller: current mu: {'beta_d': 0.0009987877362964655, 'beta_y': 0.0009502992750782151, 'beta_x': 0.001, 'gamma_d': 0.0010002667467274278, 'mu_recon': 10000.0}
current multiplier: {'mu_recon': 10000.0, 'beta_d': 0.0009987877362964655, 'beta_x': 0.001, 'beta_y': 0.0009502992750782151, 'gamma_d': 0.0010002667467274278}
Traceback (most recent call last):
File "/home/sunxd/domainlab_master/main_out.py", line 17, in <module>
exp.execute()
File "/home/sunxd/domainlab_master/domainlab/exp/exp_main.py", line 72, in execute
flag_stop = self.trainer.tr_epoch(epoch)
File "/home/sunxd/domainlab_master/domainlab/algos/trainers/train_fbopt_b.py", line 138, in tr_epoch
flag = self._decoratee.tr_epoch(epoch, self.flag_setpoint_updated)
File "/home/sunxd/domainlab_master/domainlab/algos/trainers/train_matchdg.py", line 51, in tr_epoch
self.mk_match_tensor(epoch)
File "/home/sunxd/domainlab_master/domainlab/algos/trainers/train_matchdg.py", line 298, in mk_match_tensor
obj_match(
File "/home/sunxd/domainlab_master/domainlab/algos/trainers/compos/matchdg_match.py", line 146, in __call__
self._fill_data(loader)
File "/home/sunxd/domainlab_master/domainlab/algos/trainers/compos/matchdg_match.py", line 68, in _fill_data
list_idx_several_ds.extend(list(idx_e.cpu().numpy()))
AttributeError: 'tuple' object has no attribute 'cpu'

[codecov-commenter]

Codecov Report

Attention: 1 lines in your changes are missing coverage. Please review.

Comparison is base (100c687) 92.88% compared to head (2d70f93) 92.86%.

Files	Patch %	Lines
domainlab/algos/trainers/train_fbopt_b.py	66.66%	1 Missing ⚠️

Additional details and impacted files

@@ Coverage Diff @@## fbopt #746 +/- ##
==========================================
- Coverage 92.88% 92.86% -0.02% 
==========================================
Files 133 133 Lines 5509 5511 +2 ==========================================
+ Hits 5117 5118 +1 - Misses 392 393 +1 

Flag	Coverage Δ
unittests	92.86% <75.00%> (-0.02%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[smilesun]

should be fixed after #751