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HI, I read the code ,and I see zhe mlp's hidden is 32, and mesh2mesh graph's messagepassing is 4 times, but i find those parameters in graphcast paper is 512 and 16, i write the model by dgl and pytorch in https://github.com/zsy0828/graphcast, but if i set mlp's hiddim=512, and num_gnn_layer=16, it will OOM on CUDA.
So, what the real parameter's of this model, could you tell me.
The text was updated successfully, but these errors were encountered:
We provided a few sets of models explained here. The main model indeed uses latent hiddim=512, and num_gnn_layer=16. If that runs out of memory you may need a larger GPU, or a more efficient implementation.
HI, I read the code ,and I see zhe mlp's hidden is 32, and mesh2mesh graph's messagepassing is 4 times, but i find those parameters in graphcast paper is 512 and 16, i write the model by dgl and pytorch in https://github.com/zsy0828/graphcast, but if i set mlp's hiddim=512, and num_gnn_layer=16, it will OOM on CUDA.
So, what the real parameter's of this model, could you tell me.
The text was updated successfully, but these errors were encountered: