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For high versions of CUDA and Pytorch, you can try to change the Line30 of main_branch.py, i.e., "mat_inv_x, _ = torch.solve(eye_x, eye_x - (w ** 2) * affinity_mat" to "mat_inv_x = torch.inverse(eye_x - (w ** 2) * affinity_mat)". I have run our method in this way and obtain similar results.
你好,感谢分享你的工作。由于实验室只有一台3090(不匹配cuda10)的服务器,所以我只能安装pytorch1.7.0,python3.6.6,cudatoolkit11.0.3。但是会在main_branch.py的30行
mat_inv_x, _ = torch.solve(eye_x, eye_x - (w ** 2) * affinity_mat)
遇到CUDA error: invalid configuration argument这一报错。不知道该如何解决?求指导一下。The text was updated successfully, but these errors were encountered: