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#ifdef WITH_PYTHON
#include <Python.h>
#endif
#include <torch/script.h>
#include "cpu/grid_cpu.h"
#ifdef WITH_CUDA
#include "cuda/grid_cuda.h"
#endif
#ifdef _WIN32
#ifdef WITH_PYTHON
#ifdef WITH_CUDA
PyMODINIT_FUNC PyInit__grid_cuda(void) { return NULL; }
#else
PyMODINIT_FUNC PyInit__grid_cpu(void) { return NULL; }
#endif
#endif
#endif
CLUSTER_API torch::Tensor grid(torch::Tensor pos, torch::Tensor size,
torch::optional<torch::Tensor> optional_start,
torch::optional<torch::Tensor> optional_end) {
if (pos.device().is_cuda()) {
#ifdef WITH_CUDA
return grid_cuda(pos, size, optional_start, optional_end);
#else
AT_ERROR("Not compiled with CUDA support");
#endif
} else {
return grid_cpu(pos, size, optional_start, optional_end);
}
}
static auto registry =
torch::RegisterOperators().op("torch_cluster::grid", &grid);
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