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#ifdef WITH_PYTHON
#include <Python.h>
#endif
#include <torch/script.h>
#include "cpu/sampler_cpu.h"
#ifdef _WIN32
#ifdef WITH_PYTHON
#ifdef WITH_CUDA
PyMODINIT_FUNC PyInit__sampler_cuda(void) { return NULL; }
#else
PyMODINIT_FUNC PyInit__sampler_cpu(void) { return NULL; }
#endif
#endif
#endif
CLUSTER_API torch::Tensor neighbor_sampler(torch::Tensor start, torch::Tensor rowptr,
int64_t count, double factor) {
if (rowptr.device().is_cuda()) {
#ifdef WITH_CUDA
AT_ERROR("No CUDA version supported");
#else
AT_ERROR("Not compiled with CUDA support");
#endif
} else {
return neighbor_sampler_cpu(start, rowptr, count, factor);
}
}
static auto registry = torch::RegisterOperators().op(
"torch_cluster::neighbor_sampler", &neighbor_sampler);
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