Marcos Leal

@shanhaidexiamo Yes! It was built for the Compute Capability 5.2. You can find your GPU Compute Cabaility at

It leads to ``` >>> train_set = USPTOCenter('train', num_processes=1) Preparing train subset of USPTO for reaction center prediction. Traceback (most recent call last): File "", line 1, in File "/home/marcos/.local/lib/python3.8/site-packages/dgllife/data/uspto.py",...

It's not just you. I had to change the timesteps too to make it able to evaluate here. I don't know how to calculate it though

@Kyubyong could you explain how it's calculated? It's based on the file lenght, its sampling rate?

@candlewill I believe there should be a slight modification in the code to allocate both GPUs because it's not the default for tensorflow. I cannot confirm because I've never trained...

Thanks for the quick reply @generall . I'm currently using an internally deployed qdrant and had the same problem. I tried with both the memory and path client initializations to...