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#pragma once
#include <torch/csrc/Types.h>
#include <torch/csrc/python_headers.h>
#include <torch/csrc/utils.h>
#include <functional>
#include <vector>
typedef std::function<void(PyObject*, PyObject*, bool)> THPCopyFunction;
// NOLINTNEXTLINE(cppcoreguidelines-pro-type-member-init)
struct THPCopyInfo {
PyTypeObject* srcType; // Python type of src tensor/storage
THPCopyFunction copy; // copy function
bool non_blocking; // true if copy implements an 'non_blocking' copy
bool broadcast; // true if the copy implements a broadcast copy
};
typedef std::vector<THPCopyInfo> THPCopyList;
inline bool tryTHPCopy(
const THPCopyList& v,
PyObject* dst,
PyObject* src,
bool non_blocking,
bool broadcast) {
for (auto& i : v) {
if (i.non_blocking == non_blocking &&
PyType_IsSubtype(Py_TYPE(src), i.srcType)) {
(i.copy)(dst, src, broadcast);
return true;
}
}
return false;
}
inline bool THPCopy(
const THPCopyList& v,
PyObject* dst,
PyObject* src,
bool non_blocking,
bool broadcast) {
// NOLINTNEXTLINE(bugprone-branch-clone)
if (tryTHPCopy(v, dst, src, non_blocking, broadcast)) {
return true;
} else if (non_blocking && tryTHPCopy(v, dst, src, false, broadcast)) {
return true;
}
THPUtils_setError(
"copy from %s to %s isn't implemented",
THPUtils_typename(src),
THPUtils_typename(dst));
return false;
}
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