vincent-zhq / mrdf Goto Github PK

When I run the train.py file in the virtual environment of the server,the code does not run successfully.The following problems occurred:

I'm unclear about your process for dividing the dataset; could you possibly provide the processed dataset?

When runing the code, I got this problem:
/anaconda3/envs/df116/lib/python3.9/site-packages/pytorch_lightning/utilities/data.py:98: UserWarning: Trying to infer the batch_sizefrom an ambiguous collection. The batch size we found is 64. To avoid any miscalculations, useself.log(..., batch_size=batch_size). warning_cache.warn( /anaconda3/envs/df116/lib/python3.9/site-packages/torchmetrics/functional/classification/precision_recall_curve.py:70: UserWarning: cumsum_cuda_kernel does not have a deterministic implementation, but you set 'torch.use_deterministic_algorithms(True, warn_only=True)'. You can file an issue at https://github.com/pytorch/pytorch/issues to help us prioritize adding deterministic support for this operation. (Triggered internally at ../aten/src/ATen/Context.cpp:82.) tps = torch.cumsum(target * weight, dim=0)[threshold_idxs] terminate called after throwing an instance of 'std::runtime_error' what(): tensorflow/compiler/xla/xla_client/computation_client.cc:280 : Missing XLA configuration Aborted (core dumped)

Hello, I notice that only 10% of the whole dataset is used in the code, does it mean that acc is also based on this part of the data?
And I want to test the model on the whole dataset, but there are some problems happened while loading the ckpt model: Missing key(s) in state_dict: "video classifier.0.weight", "audio classifier.0.weight". Was that model structure conflicts in the code and ckpt model?

Hello, when I was installing the environment, I found that many packages in the requirements.txt conflict with the environment, are the versions of the packages in there correct?

For direct inference on Food101, we provide the pretrained checkpoint example here. The related dataset splits are also available

Is this a typo? @Vincent-ZHQ

Hello, I'm interested in your work. Can you tell me on which type of graphics card the training was conducted and how much GPU usage there is for each card?