#include "Size.h" #include #include "torch/csrc/utils/object_ptr.h" #include "torch/csrc/utils/python_strings.h" #include "torch/csrc/utils/python_tuples.h" #include "torch/csrc/autograd/python_variable.h" #include "torch/csrc/jit/tracer.h" struct THPSize { PyTupleObject tuple; }; PyObject * THPSize_New(const torch::autograd::Variable& var) { if (!torch::jit::tracer::isTracing()) { auto sizes = var.sizes(); return THPSize_NewFromSizes(var.dim(), sizes.data()); } auto self = THPObjectPtr(THPSizeType.tp_alloc(&THPSizeType, var.dim())); if (!self) throw python_error(); for (int64_t i = 0; i < var.dim(); ++i) { PyObject *py_size_tensor = THPVariable_Wrap(torch::jit::tracer::getSizeOf(var, i)); if (!py_size_tensor) throw python_error(); PyTuple_SET_ITEM(self.get(), i, py_size_tensor); } return self.release(); } PyObject * THPSize_NewFromSizes(int dim, const int64_t *sizes) { auto self = THPObjectPtr(THPSizeType.tp_alloc(&THPSizeType, dim)); if (!self) throw python_error(); THPUtils_packInt64Array(self, dim, sizes); return self.release(); } static bool isTracedZeroDimVar(PyObject *item) { if (!THPVariable_Check(item)) return false; auto & var = reinterpret_cast(item)->cdata; return var.dim() == 0 && torch::jit::tracer::getValueTrace(var); } static PyObject * THPSize_pynew(PyTypeObject *type, PyObject *args, PyObject *kwargs) { THPObjectPtr self(PyTuple_Type.tp_new(type, args, kwargs)); if (self) { for (Py_ssize_t i = 0; i < PyTuple_Size(self); ++i) { PyObject *item = PyTuple_GET_ITEM(self.get(), i); if (THPUtils_checkLong(item)) { continue; } if (torch::jit::tracer::isTracing() && isTracedZeroDimVar(item)) { continue; } // item.__index__() works with 0-dim tensors and tensors with one element THPObjectPtr number(PyNumber_Index(item)); if (number && THPUtils_checkLong(number.get())) { Py_INCREF(number.get()); auto status = PyTuple_SetItem(self, i, number.get()); if (status != 0) { throw python_error(); } continue; } return PyErr_Format(PyExc_TypeError, "torch.Size() takes an iterable of 'int' (item %zd is '%s')", i, Py_TYPE(item)->tp_name); } } return self.release(); } static PyObject * THPSize_repr(THPSize *self) { HANDLE_TH_ERRORS std::string repr("torch.Size(["); for (Py_ssize_t i = 0; i < PyTuple_Size((PyObject*)self); ++i) { if (i != 0) { repr += ", "; } repr += std::to_string(PyLong_AsLong(PyTuple_GET_ITEM(self, i))); } repr += "])"; return THPUtils_packString(repr); END_HANDLE_TH_ERRORS } extern PyTypeObject THPSizeType; template static PyObject* wrap_tuple_fn(Args ... args) { THPObjectPtr result((*fn)(std::forward(args)...)); if (!result) return nullptr; if (PyTuple_Check(result.get())) { return PyObject_CallFunctionObjArgs((PyObject*)&THPSizeType, result.get(), nullptr); } return result.release(); } // We use an anonymous namespace instead of static to work around // (what @peterjc123 think is) a bug in Visual Studio namespace { auto sq_concat = PyTuple_Type.tp_as_sequence->sq_concat; auto sq_repeat = PyTuple_Type.tp_as_sequence->sq_repeat; #if PY_MAJOR_VERSION == 2 auto sq_slice = PyTuple_Type.tp_as_sequence->sq_slice; #endif binaryfunc mp_subscript = PyTuple_Type.tp_as_mapping->mp_subscript; } static PySequenceMethods THPSize_as_sequence = { PyTuple_Type.tp_as_sequence->sq_length, wrap_tuple_fn, wrap_tuple_fn, PyTuple_Type.tp_as_sequence->sq_item, #if PY_MAJOR_VERSION == 2 wrap_tuple_fn, #else 0, /* sq_slice */ #endif 0, /* sq_ass_item */ 0, /* sq_ass_slice */ PyTuple_Type.tp_as_sequence->sq_contains }; static PyMappingMethods THPSize_as_mapping = { PyTuple_Type.tp_as_mapping->mp_length, wrap_tuple_fn, 0 }; static PyObject *THPSize_numel(THPSize *self) { HANDLE_TH_ERRORS int64_t numel = 1; for (Py_ssize_t i = 0; i < PyTuple_Size((PyObject*)self); ++i) { numel *= PyLong_AsLong(PyTuple_GET_ITEM(self, i)); } return THPUtils_packInt64(numel); END_HANDLE_TH_ERRORS } static PyMethodDef THPSize_methods[] = { {"numel", (PyCFunction)THPSize_numel, METH_NOARGS, nullptr}, {nullptr} }; PyTypeObject THPSizeType = { PyVarObject_HEAD_INIT(nullptr, 0) "torch.Size", /* tp_name */ sizeof(THPSize), /* tp_basicsize */ 0, /* tp_itemsize */ 0, /* tp_dealloc */ 0, /* tp_print */ 0, /* tp_getattr */ 0, /* tp_setattr */ 0, /* tp_reserved */ (reprfunc)THPSize_repr, /* tp_repr */ 0, /* tp_as_number */ &THPSize_as_sequence, /* tp_as_sequence */ &THPSize_as_mapping, /* tp_as_mapping */ 0, /* tp_hash */ 0, /* tp_call */ 0, /* tp_str */ 0, /* tp_getattro */ 0, /* tp_setattro */ 0, /* tp_as_buffer */ Py_TPFLAGS_DEFAULT, /* tp_flags */ nullptr, /* tp_doc */ 0, /* tp_traverse */ 0, /* tp_clear */ 0, /* tp_richcompare */ 0, /* tp_weaklistoffset */ 0, /* tp_iter */ 0, /* tp_iternext */ THPSize_methods, /* tp_methods */ 0, /* tp_members */ 0, /* tp_getset */ &PyTuple_Type, /* tp_base */ 0, /* tp_dict */ 0, /* tp_descr_get */ 0, /* tp_descr_set */ 0, /* tp_dictoffset */ 0, /* tp_init */ 0, /* tp_alloc */ THPSize_pynew, /* tp_new */ }; void THPSize_init(PyObject *module) { if (PyType_Ready(&THPSizeType) < 0) { throw python_error(); } Py_INCREF(&THPSizeType); if (PyModule_AddObject(module, "Size", (PyObject*)&THPSizeType) < 0) { throw python_error(); } }