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#ifdef WITH_PYTHON
#include <Python.h>
#endif
#include <torch/script.h>
#include "cpu/diag_cpu.h"
#ifdef WITH_CUDA
#include "cuda/diag_cuda.h"
#endif
#ifdef _WIN32
#ifdef WITH_PYTHON
#ifdef WITH_CUDA
PyMODINIT_FUNC PyInit__diag_cuda(void) { return NULL; }
#else
PyMODINIT_FUNC PyInit__diag_cpu(void) { return NULL; }
#endif
#endif
#endif
SPARSE_API torch::Tensor non_diag_mask(torch::Tensor row, torch::Tensor col, int64_t M,
int64_t N, int64_t k) {
if (row.device().is_cuda()) {
#ifdef WITH_CUDA
return non_diag_mask_cuda(row, col, M, N, k);
#else
AT_ERROR("Not compiled with CUDA support");
#endif
} else {
return non_diag_mask_cpu(row, col, M, N, k);
}
}
static auto registry = torch::RegisterOperators().op(
"torch_sparse::non_diag_mask", &non_diag_mask);
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