fizzking

I ran the command in readme: python3 -m pytest. The result is the following error, what does it mean？ 

I run the test code according to what you said, and the result shows that the model lacks parameters. How to specify these two model parameters? 

Thank you very much for your patient reply！ I successfully ran this code.

The test_cuboid.py you provided is to test the data. Do I need to write a training code according to your train_cuboid_nbody

My data is a csv file with M rows and N columns, where the columns of the csv file are: time, latitude, longitude, several predictive factors and target outputs affected...

Are there any examples for reference?

I also encountered this problem, here is my version number：  

I replaced it with the same version as you said：torchmetrics==0.11.1，torch==1.12.1+cu116 and pytorch_lightning==1.6.4 , and the code ran to 4% and stopped to report an error:  

Ok, I understand. But why are in_len and out_len respectively 12,14 in fig configuration, but 12 and 26 in data preprocessing?  

Why I use the command: MASTER_ADDR=localhost MASTER_PORT=10001 python ./scripts/cuboid_transformer/enso/train_cuboid_enso.py --gpus 1 --cfg ./scripts/cuboid_transformer/enso/earthformer_enso_v1.yaml --ckpt_name last.ckpt --save tmp_enso Trying to run the training enso dataset results in code that automatically kills?...