s = (s - self.state_mean) / self.state_std run error

[scalaboy]

(base) deeplp@deeplp:/deeplp/mainspace/git_dir/SMAAC$ python test.py -n=wcci -s=0 -c=wcci
model name: wcci_0
./data/l2rpn_wcci_2020
/home/deeplp/anaconda3/lib/python3.8/site-packages/lightsim2grid/gridmodel/_aux_add_trafo.py:65: UserWarning: There were some Nan in the pp_net.trafo["tap_step_degree"], they have been replaced by 0
warnings.warn("There were some Nan in the pp_net.trafo["tap_step_degree"], they have been replaced by 0")
/home/deeplp/anaconda3/lib/python3.8/site-packages/lightsim2grid/gridmodel/_aux_add_slack.py:113: UserWarning: We found either some slack coefficient to be < 0. or they were all 0.We set them all to 1.0 to avoid such issues
warnings.warn("We found either some slack coefficient to be < 0. or they were all 0."
Reward "LossReward" does not support the logger feature. Error was : init() got an unexpected keyword argument 'logger'
/home/deeplp/anaconda3/lib/python3.8/site-packages/lightsim2grid/gridmodel/_aux_add_trafo.py:65: UserWarning: There were some Nan in the pp_net.trafo["tap_step_degree"], they have been replaced by 0
warnings.warn("There were some Nan in the pp_net.trafo["tap_step_degree"], they have been replaced by 0")
/home/deeplp/anaconda3/lib/python3.8/site-packages/lightsim2grid/gridmodel/_aux_add_slack.py:113: UserWarning: We found either some slack coefficient to be < 0. or they were all 0.We set them all to 1.0 to avoid such issues
warnings.warn("We found either some slack coefficient to be < 0. or they were all 0."
Reward "LossReward" does not support the logger feature. Error was : init() got an unexpected keyword argument 'logger'
{'NO_OVERFLOW_DISCONNECTION': False, 'NB_TIMESTEP_OVERFLOW_ALLOWED': 3, 'NB_TIMESTEP_RECONNECTION': 12, 'NB_TIMESTEP_COOLDOWN_LINE': 3, 'NB_TIMESTEP_COOLDOWN_SUB': 3, 'HARD_OVERFLOW_THRESHOLD': 200.0, 'ENV_DC': False, 'FORECAST_DC': False, 'MAX_SUB_CHANGED': 1, 'MAX_LINE_STATUS_CHANGED': 1, 'IGNORE_MIN_UP_DOWN_TIME': True, 'ALLOW_DISPATCH_GEN_SWITCH_OFF': True, 'LIMIT_INFEASIBLE_CURTAILMENT_STORAGE_ACTION': False, 'INIT_STORAGE_CAPACITY': 0.5, 'ACTIVATE_STORAGE_LOSS': True, 'ALARM_BEST_TIME': 12, 'ALARM_WINDOW_SIZE': 12, 'MAX_SIMULATE_PER_STEP': -1, 'MAX_SIMULATE_PER_EPISODE': -1}
Lonely line 15 [0, 33, 35, 42, 11, 13, 14, 15, 16, 45, 46, 47, 24, 25, 57]
Masked sorted topology 11 [16, 23, 21, 26, 33, 29, 35, 9, 7, 4, 1]
N: 177, O: 30, S: 128, A: 79, (11)
{'seed': 0, 'case': 'wcci', 'gpuid': 0, 'memlen': 50000, 'nb_frame': 100000, 'test_step': 1000, 'head_number': 8, 'state_dim': 128, 'n_history': 6, 'dropout': 0.0, 'rule': 'c', 'threshold': 0.1, 'danger': 0.9, 'mask': 5, 'target_update': 1, 'tau': 0.001, 'batch_size': 128, 'lr': 5e-05, 'gamma': 0.995, 'name': 'wcci', 'actor_lr': 5e-05, 'critic_lr': 5e-05, 'embed_lr': 5e-05, 'alpha_lr': 5e-05}
mean,std shape torch.Size([1, 1266]) torch.Size([1, 1266])

torch.Size([1, 1429]) torch.Size([1, 1266])
Traceback (most recent call last):
File "test.py", line 177, in
trainer.train(
File "/deeplp/mainspace/git_dir/SMAAC/train.py", line 160, in train
prev_act = self.agent.act(obs, None, None)
File "/deeplp/mainspace/git_dir/SMAAC/agent.py", line 187, in act
self.stack_obs(obs)
File "/deeplp/mainspace/git_dir/SMAAC/agent.py", line 151, in stack_obs
obs_vect, self.topo = self.convert_obs(self.state_normalize(obs_vect))
File "/deeplp/mainspace/git_dir/SMAAC/agent.py", line 103, in state_normalize
s = (s - self.state_mean) / self.state_std
RuntimeError: The size of tensor a (1429) must match the size of tensor b (1266) at non-singleton dimension 1