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Thanks a lot for posting the code! I'm quite new to GNN, and I am facing errors in training the GIN model with degree quant support with the OGB-MOLHIV binary classification dataset.
However, I face an issue in the below line:
degree-quant/dq/quantization.py
Line 57 in 257d6bc
| output.mul_(inv_scale).add_(zero_point) |
The error is:
RuntimeError: result type Float can't be cast to the desired output type Long
The inv_scale and zero_point values I obtained are 15.9375 and -128.0, respectively.
I have only changed the dataset inside the get_dataset() function. Do I need to consider anything else? I fixed the dataset transform bug as reported by issue #1
Please help me with how to resolve this.
Thanks!!
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