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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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erikwijmans
2018-02-10 20:32:52 -05:00
parent 8bce353da4
commit 65a127f3d2
19 changed files with 372 additions and 296 deletions
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utils/csrc/group_points.c
+4 -4
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@@ -4,7 +4,7 @@
extern THCState *state;
int group_points_wrapper(int b, int n, int c, int npoints, int nsample,
int group_points_wrapper(int b, int c, int n, int npoints, int nsample,
THCudaTensor *points_tensor,
THCudaIntTensor *idx_tensor,
THCudaTensor *out_tensor) {
@@ -15,12 +15,12 @@ int group_points_wrapper(int b, int n, int c, int npoints, int nsample,
cudaStream_t stream = THCState_getCurrentStream(state);
group_points_kernel_wrapper(b, n, c, npoints, nsample, points, idx, out,
group_points_kernel_wrapper(b, c, n, npoints, nsample, points, idx, out,
stream);
return 1;
}
int group_points_grad_wrapper(int b, int n, int c, int npoints, int nsample,
int group_points_grad_wrapper(int b, int c, int n, int npoints, int nsample,
THCudaTensor *grad_out_tensor,
THCudaIntTensor *idx_tensor,
THCudaTensor *grad_points_tensor) {
@@ -31,7 +31,7 @@ int group_points_grad_wrapper(int b, int n, int c, int npoints, int nsample,
cudaStream_t stream = THCState_getCurrentStream(state);
group_points_grad_kernel_wrapper(b, n, c, npoints, nsample, grad_out, idx,
group_points_grad_kernel_wrapper(b, c, n, npoints, nsample, grad_out, idx,
grad_points, stream);
return 1;
}