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https://github.com/wassname/Pointnet2_PyTorch.git
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Some faster/better kernels. Tensors with points are now kept in (b, c, ...) format as this is easier for pytorch
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@@ -1,8 +1,7 @@
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int group_points_wrapper(int b, int n, int c, int npoints, int nsample,
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int group_points_wrapper(int b, int c, int n, int npoints, int nsample,
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THCudaTensor *points_tensor,
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THCudaIntTensor *idx_tensor, THCudaTensor *out);
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int group_points_grad_wrapper(int b, int n, int c, int npoints, int nsample,
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int group_points_grad_wrapper(int b, int c, int n, int npoints, int nsample,
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THCudaTensor *grad_out_tensor,
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THCudaIntTensor *idx_tensor,
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THCudaTensor *grad_points_tensor);
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