Comments (6)
It worked now.
Possibly some cuda issue.
Thanks :)
from graph-convnet-tsp.
Hi @sahilm1992, thanks for your interest! That's unexpected, but maybe you can fix it by simply converting the float tensor to a long tensor?
E.g. self.mask = self.mask.gather(1, perm_mask.long())
Let me know if that works.
from graph-convnet-tsp.
let me try that. Could you confirm if the implementation works on gpu?
from graph-convnet-tsp.
Yes, all experiments in the associated paper were run using this codebase. You can read about our exact hardware setup there. However, the code has not been updated since ~ 1 year. You can try the updated repository associated with the more comprehensive paper, too.
from graph-convnet-tsp.
By the way, can you tell me your hardware setup? E.g. Operating system, Cuda version, GPU type, etc.
from graph-convnet-tsp.
Great, feel free to open further issues if you need help.
from graph-convnet-tsp.
Related Issues (12)
- Train for 500 nodes HOT 2
- Node and edge feature aggreation w.r.t connectivity HOT 2
- a question about data format in google_tsp_reader HOT 1
- A code issue HOT 6
- There is an error in backward pass step as the values are not contigous HOT 8
- RuntimeError when executing "test backward pass" block in main.ipynb HOT 7
- Question: Testing the model on TSPLIB example HOT 1
- RuntimeError: grad_input must be contiguous HOT 1
- I can not install concorde solver on my system. HOT 1
- runerror HOT 5
- CuDNN error: CUDNN_STATUS_SUCCESS HOT 2
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