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Branch yang #9
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Branch yang #9
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…ired bugs about CUDA kernel failed when points sets(M,N>~2000).
…d bugs about CUDA kernel failed when points sets(M,N>~2000).
The code outputs a value (hopefully correct ?) for big tensors but the gradient fails, even for small inputs. |
Maybe you should adjust the version of your CUDA & Cudnn & Pytorch. They should be satisfied with a certainly relationship. Can you tell me about your environment? |
I am using Python 3.6.8, Pytorch 1.1.0, CUDA 9.0.176 and Cudnn 7501. |
Sorry I've been backed up with work. I will do my best to get to this ASAP. |
This doesn't repair the bug necessarily. It just fixes the number of dimensions to be 3, as opposed to some arbitrary dimension D. |
Hi @jinglunYang , I picked you commit with changes. I can run test_emd_loss.py file. But while using the loss in my training set it gives me error RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED. I already tested my training data with Chamfer Loss and it was working fine. |
I have pulled request again, please to check it. And i have checked the emd.cuh is in pkg/include/cuda/