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https://github.com/pytorch/pytorch.git
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fb23e62797
* Remove templatization of PyTypeObject in THP copy storage methods. An in-progress refactoring of THStorage is collapsing the types of THStorages to not be ScalarType-specific. The revelant PyTypeObject to use for the THPStorageType is currently templatized based on the current THStorage; this doesn't work if the ScalarType is collapsed. Instead, just pass it explicitly. * Pass src type instead of dst type. * Line up columns.
83 lines
2.4 KiB
C++
83 lines
2.4 KiB
C++
#pragma once
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#include <functional>
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#include <vector>
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#include "Types.h"
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typedef std::function<void(PyObject*, PyObject*, bool)> THPCopyFunction;
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struct THPCopyInfo {
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PyTypeObject* srcType; // Python type of src tensor/storage
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THPCopyFunction copy; // copy function
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bool non_blocking; // true if copy implements an 'non_blocking' copy
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bool broadcast; // true if the copy implements a broadcast copy
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};
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typedef std::vector<THPCopyInfo> THPCopyList;
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inline bool tryTHPCopy(const THPCopyList& v, PyObject* dst, PyObject* src, bool non_blocking, bool broadcast)
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{
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for (auto it = v.begin(); it != v.end(); ++it) {
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if (it->non_blocking == non_blocking && PyType_IsSubtype(Py_TYPE(src), it->srcType)) {
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(it->copy)(dst, src, broadcast);
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return true;
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}
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}
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return false;
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}
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inline bool THPCopy(const THPCopyList& v, PyObject* dst, PyObject* src, bool non_blocking, bool broadcast)
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{
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if (tryTHPCopy(v, dst, src, non_blocking, broadcast)) {
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return true;
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} else if (non_blocking && tryTHPCopy(v, dst, src, false, broadcast)) {
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return true;
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}
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THPUtils_setError("copy from %s to %s isn't implemented",
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THPUtils_typename(src), THPUtils_typename(dst));
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return false;
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}
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inline PyObject * THPStorageCopyMethod(const THPCopyList& v, PyObject *self, PyObject *args, PyObject *kwargs)
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{
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PyObject *src;
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int non_blocking = 0;
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static char *kwlist[] = {"source", "non_blocking", NULL};
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// use int as parse type because bool not available in python2.
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if (!PyArg_ParseTupleAndKeywords(args, kwargs, "O|i:copy_", kwlist, &src, &non_blocking)) {
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return NULL;
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}
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if (!THPCopy(v, self, src, non_blocking, false)) {
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return NULL;
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}
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Py_INCREF(self);
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return self;
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}
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template <typename StorageDst, typename StorageSrc>
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void THPInsertStorageCopyFunction(
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PyTypeObject *srcType,
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THPCopyList& copyList,
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void (*copyFunc)(LIBRARY_STATE_TYPE StorageDst* x, StorageSrc* z),
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bool non_blocking=false)
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{
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auto wrapper = [copyFunc](PyObject* dst_, PyObject* src_, bool broadcast) {
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StorageDst* dst = THPTypeInfo<StorageDst>::cdata(dst_);
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StorageSrc* src = THPTypeInfo<StorageSrc>::cdata(src_);
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PyThreadState *_save = NULL;
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try {
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Py_UNBLOCK_THREADS;
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copyFunc(LIBRARY_STATE dst, src);
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Py_BLOCK_THREADS;
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} catch (...) {
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if (_save) {
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Py_BLOCK_THREADS;
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}
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throw;
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}
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};
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copyList.push_back({ srcType, wrapper, non_blocking, false });
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}
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