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Loading pretrained ImageNet model......
Train without center loss, the loss type is triplet
label smooth on, numclasses: 751
2023-10-25 15:36:07,901 reid_baseline.train INFO: Start training
D:\ProgramData\Anaconda3\envs\ReID\lib\site-packages\ignite\handlers\checkpoint.py:971: UserWarning: Argument save_interval is deprecated and should be No
ne. This argument will be removed in 0.5.0.Please, use events filtering instead, e.g. Events.ITERATION_STARTED(every=1000)
warnings.warn(msg)
D:\ProgramData\Anaconda3\envs\ReID\lib\site-packages\torch\optim\lr_scheduler.py:134: UserWarning: Detected call of lr_scheduler.step() before optimize r.step(). In PyTorch 1.1.0 and later, you should call them in the opposite order: optimizer.step() before lr_scheduler.step(). Failure to do this wi
ll result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-
learning-rate
The program gets stuck. Nothing comes out.
The text was updated successfully, but these errors were encountered:
Loading pretrained ImageNet model......
Train without center loss, the loss type is triplet
label smooth on, numclasses: 751
2023-10-25 15:36:07,901 reid_baseline.train INFO: Start training
D:\ProgramData\Anaconda3\envs\ReID\lib\site-packages\ignite\handlers\checkpoint.py:971: UserWarning: Argument save_interval is deprecated and should be No
ne. This argument will be removed in 0.5.0.Please, use events filtering instead, e.g. Events.ITERATION_STARTED(every=1000)
warnings.warn(msg)
D:\ProgramData\Anaconda3\envs\ReID\lib\site-packages\torch\optim\lr_scheduler.py:134: UserWarning: Detected call of
lr_scheduler.step()
beforeoptimize r.step()
. In PyTorch 1.1.0 and later, you should call them in the opposite order:optimizer.step()
beforelr_scheduler.step()
. Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-
learning-rate
The program gets stuck. Nothing comes out.
The text was updated successfully, but these errors were encountered: