When the program was running to load zipfile, an error occurred. It is werid.

[zhrli]

RuntimeError: Error(s) in loading state_dict for SACPolicy: size mismatch for actor.mu.weight: copying a param with shape torch.Size([88, 256]) from checkpoint, the shape in current model is torch.Size([31064, 256]). size mismatch for actor.mu.bias: copying a param with shape torch.Size([88]) from checkpoint, the shape in current model is torch.Size([31064]). size mismatch for actor.log_std.weight: copying a param with shape torch.Size([88, 256]) from checkpoint, the shape in current model is torch.Size([31064, 256]). size mismatch for actor.log_std.bias: copying a param with shape torch.Size([88]) from checkpoint, the shape in current model is torch.Size([31064]). size mismatch for critic.qf0.0.weight: copying a param with shape torch.Size([256, 11440]) from checkpoint, the shape in current model is torch.Size([256, 42416]). size mismatch for critic.qf1.0.weight: copying a param with shape torch.Size([256, 11440]) from checkpoint, the shape in current model is torch.Size([256, 42416]). size mismatch for critic_target.qf0.0.weight: copying a param with shape torch.Size([256, 11440]) from checkpoint, the shape in current model is torch.Size([256, 42416]). size mismatch for critic_target.qf1.0.weight: copying a param with shape torch.Size([256, 11440]) from checkpoint, the shape in current model is torch.Size([256, 42416]).

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/mnt/sda/DL/AI4F/StockFormer/code/train_rl.py", line 226, in results = DRLAgent.DRL_prediction_load_from_file(model_name='maesac',environment=test_trade_gym, cwd=model_path) File "/mnt/sda/DL/AI4F/StockFormer/code/MySAC/models/DRLAgent.py", line 188, in DRL_prediction_load_from_file raise ValueError("Fail to load agent!") ValueError: Fail to load agent!

[yo-yoo]

Hi, I met the same error, have you solved it? Many thanks if you can share it.