args: Namespace(is_finetune=0, is_linear_probe=0, dset_finetune='exchange', context_points=512, target_points=96, batch_size=64, num_workers=0, scaler='standard', features='M', patch_len=12, stride=12, revin=1, n_layers=3, n_heads=16, d_model=128, d_ff=256, dropout=0.2, head_dropout=0.2, n_epochs_finetune=20, lr=0.0001, pretrained_model='./p_model.pth', finetuned_model_id=1, model_type='based_model')
weight_path= saved_models/exchange/masked_patchtst/based_model/exchange_patchtst_finetuned_cw512_tw96_patch12_stride12_epochs-finetune20_model1
number of patches: 42
number of model params 920672
Traceback (most recent call last):
File "D:\pyyj\PatchTST-main\PatchTST_self_supervised\patchtst_finetune.py", line 235, in
out = test_func(weight_path)
File "D:\pyyj\PatchTST-main\PatchTST_self_supervised\patchtst_finetune.py", line 200, in test_func
out = learn.test(dls.test, weight_path=weight_path+'.pth', scores=[mse,mae]) # out: a list of [pred, targ, score]
File "D:\pyyj\PatchTST-main\PatchTST_self_supervised\src\learner.py", line 258, in test
if weight_path is not None: self.load(weight_path)
File "D:\pyyj\PatchTST-main\PatchTST_self_supervised\src\learner.py", line 387, in load
load_model(fname, self.model, self.opt, with_opt, device=device, strict=strict)
File "D:\pyyj\PatchTST-main\PatchTST_self_supervised\src\learner.py", line 429, in load_model
state = torch.load(path, map_location=device)
File "C:\anaconda3\lib\site-packages\torch\serialization.py", line 771, in load
with _open_file_like(f, 'rb') as opened_file:
File "C:\anaconda3\lib\site-packages\torch\serialization.py", line 270, in _open_file_like
return _open_file(name_or_buffer, mode)
File "C:\anaconda3\lib\site-packages\torch\serialization.py", line 251, in init
super(_open_file, self).init(open(name, mode))
FileNotFoundError: [Errno 2] No such file or directory: 'saved_models/exchange/masked_patchtst/based_model/exchange_patchtst_finetuned_cw512_tw96_patch12_stride12_epochs-finetune20_model1.pth'