GE-SpMM: General-purposed Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks News Collaborative Projects Abstract Get started Kernel performance Prerequisites Compilation Download dataset run tests GunRock baseline DGL integration PyTorch extension Build PyG baseline Run tests GE-SpMM: Ge...
File "/home/public/lyx/Nars_ensemble/ogbn/data_ogbn.py", line 251, in hg_propagate_sparse_pyg_freebase new_adjs[name] = adj_l.matmul(adj_r.to(prop_device)).to(store_device) File "/home/public/lyx/Nars_ensemble/ogbn/train_ogbn.py", line 99, in main features_list_dict, extra_...
6.2 Install Pytorch-Geometric (PyG) (Toturial):pip install torch_geometric 7. Running FlashSparse on H100 PCIe and RTX4090 GPUs.7.1 SpMM testGo to project eva/kernel/spmm/ directory. bash ./test_spmm_shell.sh to run all SpMM experiments. (about 200 minutes) Check the results in result...
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6.2 Install Pytorch-Geometric (PyG) (Toturial):pip install torch_geometric 7. Running FlashSparse on H100 PCIe and RTX4090 GPUs.7.1 SpMM testGo to project eva/kernel/spmm/ directory. bash ./test_spmm_shell.sh to run all SpMM experiments. (about 200 minutes) Check the results in result...