I configured it exactly as required and after that running main.py gives me the following error. How can I fix it? Looking forward to your reply very much.
/home/student01/anaconda3/envs/cdf/lib/python3.8/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Preparing loss function:
1.000 * L1
/home/student01/anaconda3/envs/cdf/lib/python3.8/site-packages/torch/optim/lr_scheduler.py:136: UserWarning: Detected call of lr_scheduler.step() before optimizer.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 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
warnings.warn("Detected call of lr_scheduler.step() before optimizer.step(). "
/home/student01/anaconda3/envs/cdf/lib/python3.8/site-packages/torch/optim/lr_scheduler.py:149: UserWarning: The epoch parameter in scheduler.step() was not necessary and is being deprecated where possible. Please use scheduler.step() to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.
warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
G_lossfn_weight
1.0
I configured it exactly as required and after that running main.py gives me the following error. How can I fix it? Looking forward to your reply very much.
/home/student01/anaconda3/envs/cdf/lib/python3.8/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Preparing loss function:
1.000 * L1
/home/student01/anaconda3/envs/cdf/lib/python3.8/site-packages/torch/optim/lr_scheduler.py:136: UserWarning: Detected call of
lr_scheduler.step()beforeoptimizer.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-ratewarnings.warn("Detected call of
lr_scheduler.step()beforeoptimizer.step(). "/home/student01/anaconda3/envs/cdf/lib/python3.8/site-packages/torch/optim/lr_scheduler.py:149: UserWarning: The epoch parameter in
scheduler.step()was not necessary and is being deprecated where possible. Please usescheduler.step()to step the scheduler. During the deprecation, if epoch is different from None, the closed form is used instead of the new chainable form, where available. Please open an issue if you are unable to replicate your use case: https://github.com/pytorch/pytorch/issues/new/choose.warnings.warn(EPOCH_DEPRECATION_WARNING, UserWarning)
G_lossfn_weight
1.0