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#pragma once
#include <ATen/core/Tensor.h>
#include <torch/csrc/python_headers.h>
namespace torch::utils {
PyObject* tensor_to_numpy(const at::Tensor& tensor, bool force = false);
at::Tensor tensor_from_numpy(PyObject* obj, bool warn_if_not_writeable = true);
int aten_to_numpy_dtype(const at::ScalarType scalar_type);
at::ScalarType numpy_dtype_to_aten(int dtype);
bool is_numpy_available();
bool is_numpy_int(PyObject* obj);
bool is_numpy_bool(PyObject* obj);
bool is_numpy_scalar(PyObject* obj);
void warn_numpy_not_writeable();
at::Tensor tensor_from_cuda_array_interface(PyObject* obj);
void validate_numpy_for_dlpack_deleter_bug();
bool is_numpy_dlpack_deleter_bugged();
} // namespace torch::utils
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