Comments (2)
It's the path in the MXNet repo, which stores the CUDA operators. You can download the source code here https://github.com/apache/incubator-mxnet
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@jennyzhang0215 I download the "incubator-mxnet" in the same dir with "GaAN", and copy files as the "README.md". But when i run the "run.sh" in the dir of "cfg_ppi_sup", but it still not works. The problem is:
File "/home/augf/GaAN/mxgraph/layers/aggregators.py", line 518, in hybrid_forward
max_pool_data = F.contrib.seg_pool(data=max_pool_data,
AttributeError: module 'mxnet.symbol.contrib' has no attribute 'seg_pool'
And the "README.md" in GraphSampler, what's the meaning of "end points" , "ind_ptr" and "node_ids" and what's the advantage of using this format?
In fact, I want to test the accuary of 'cora' dataset in your model in cpu. Could you give me a python scripts for preprocessing the original dataset and runing the model?
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