UCI-NLP-course-team/graphcnn-few-shot-text-classification
Inductive graph convolutional neural networks for few-shot learning text classification.
Python
Issues
- 0
Solution to avoid CUDA out of memory errors, Just run it over CPU for small graphs
#3 opened by Joey0538 - 0
RuntimeError: CUDA out of memory. Tried to allocate 10.20 GiB (GPU 0; 15.90 GiB total capacity; 10.21 GiB already allocated; 4.72 GiB free; 10.22 GiB reserved in total by PyTorch)
#1 opened by Joey0538 - 0
Can you give me any suggestion on how to batch process the graph Gs[0] and Gs[1]???
#2 opened by Joey0538