Export torch::utils::tensor_to_numpy (pytorch#154178)

Fixes pytorch#154105

Pull Request resolved: pytorch#154178
Approved by: https://github.com/albanD, https://github.com/Skylion007, https://github.com/youkaichao

Author: shink

torch/csrc/utils/tensor_numpy.h

@@ -5,16 +5,21 @@
 
 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);
+TORCH_API PyObject* tensor_to_numpy(
+    const at::Tensor& tensor,
+    bool force = false);
 
-int aten_to_numpy_dtype(const at::ScalarType scalar_type);
-at::ScalarType numpy_dtype_to_aten(int dtype);
+TORCH_API at::Tensor tensor_from_numpy(
+    PyObject* obj,
+    bool warn_if_not_writeable = true);
 
-bool is_numpy_available();
-bool is_numpy_int(PyObject* obj);
-bool is_numpy_bool(PyObject* obj);
-bool is_numpy_scalar(PyObject* obj);
+TORCH_API int aten_to_numpy_dtype(const at::ScalarType scalar_type);
+TORCH_API at::ScalarType numpy_dtype_to_aten(int dtype);
+
+TORCH_API bool is_numpy_available();
+TORCH_API bool is_numpy_int(PyObject* obj);
+TORCH_API bool is_numpy_bool(PyObject* obj);
+TORCH_API bool is_numpy_scalar(PyObject* obj);
 
 void warn_numpy_not_writeable();
 at::Tensor tensor_from_cuda_array_interface(PyObject* obj);