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#include <torch/csrc/Dtype.h>
#include <structmember.h>
#include <torch/csrc/Exceptions.h>
#include <torch/csrc/utils/object_ptr.h>
#include <torch/csrc/utils/python_strings.h>
#include <torch/csrc/utils/tensor_dtypes.h>
#include <torch/csrc/utils/tensor_types.h>
#include <cstring>
#include <torch/csrc/Exceptions.h>
PyObject* THPDtype_New(at::ScalarType scalar_type, const std::string& name) {
AT_ASSERT(name.length() < DTYPE_NAME_LEN);
auto type = (PyTypeObject*)&THPDtypeType;
auto self = THPObjectPtr{type->tp_alloc(type, 0)};
if (!self)
throw python_error();
auto self_ = reinterpret_cast<THPDtype*>(self.get());
self_->scalar_type = scalar_type;
std::strncpy(self_->name, name.c_str(), DTYPE_NAME_LEN);
return self.release();
}
PyObject* THPDtype_is_floating_point(THPDtype* self, PyObject* noargs) {
if (at::isFloatingType(self->scalar_type)) {
Py_RETURN_TRUE;
} else {
Py_RETURN_FALSE;
}
}
PyObject* THPDtype_is_complex(THPDtype* self, PyObject* noargs) {
if (at::isComplexType(self->scalar_type)) {
Py_RETURN_TRUE;
} else {
Py_RETURN_FALSE;
}
}
PyObject* THPDtype_is_signed(THPDtype* self, PyObject* noargs) {
HANDLE_TH_ERRORS
if (at::isSignedType(self->scalar_type)) {
Py_RETURN_TRUE;
} else {
Py_RETURN_FALSE;
}
END_HANDLE_TH_ERRORS
}
PyObject* THPDtype_reduce(PyObject* _self, PyObject* noargs) {
/*
* For singletons, a string is returned. The string should be interpreted
* as the name of a global variable.
*/
auto self = (THPDtype*)_self;
return THPUtils_packString(self->name);
}
typedef PyObject* (*getter)(PyObject*, void*);
// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-non-const-global-variables,modernize-avoid-c-arrays)
static struct PyGetSetDef THPDtype_properties[] = {
{"is_floating_point",
(getter)THPDtype_is_floating_point,
nullptr,
nullptr,
nullptr},
{"is_complex", (getter)THPDtype_is_complex, nullptr, nullptr, nullptr},
{"is_signed", (getter)THPDtype_is_signed, nullptr, nullptr, nullptr},
{nullptr}};
// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-non-const-global-variables,modernize-avoid-c-arrays)
static PyMethodDef THPDtype_methods[] = {
{"__reduce__", THPDtype_reduce, METH_NOARGS, nullptr},
{nullptr} /* Sentinel */
};
PyObject* THPDtype_repr(THPDtype* self) {
std::string name = self->name;
return THPUtils_packString("torch." + name);
}
PyTypeObject THPDtypeType = {
PyVarObject_HEAD_INIT(nullptr, 0) "torch.dtype", /* tp_name */
sizeof(THPDtype), /* tp_basicsize */
0, /* tp_itemsize */
nullptr, /* tp_dealloc */
0, /* tp_vectorcall_offset */
nullptr, /* tp_getattr */
nullptr, /* tp_setattr */
nullptr, /* tp_reserved */
(reprfunc)THPDtype_repr, /* tp_repr */
nullptr, /* tp_as_number */
nullptr, /* tp_as_sequence */
nullptr, /* tp_as_mapping */
nullptr, /* tp_hash */
nullptr, /* tp_call */
nullptr, /* tp_str */
nullptr, /* tp_getattro */
nullptr, /* tp_setattro */
nullptr, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT, /* tp_flags */
nullptr, /* tp_doc */
nullptr, /* tp_traverse */
nullptr, /* tp_clear */
nullptr, /* tp_richcompare */
0, /* tp_weaklistoffset */
nullptr, /* tp_iter */
nullptr, /* tp_iternext */
THPDtype_methods, /* tp_methods */
nullptr, /* tp_members */
THPDtype_properties, /* tp_getset */
nullptr, /* tp_base */
nullptr, /* tp_dict */
nullptr, /* tp_descr_get */
nullptr, /* tp_descr_set */
0, /* tp_dictoffset */
nullptr, /* tp_init */
nullptr, /* tp_alloc */
nullptr, /* tp_new */
};
void THPDtype_init(PyObject* module) {
// Set a __dict__ with `__module__` = `torch`. This means
// `__module__` value will be inherited by instances
// (i.e. `torch.float32.__module__ == "torch"`). This will prevent
// Pickle from having to search all of sys.modules in order to find
// the module when pickling a dtype instance.
//
// We have to do this in C++ because extension types are not mutable
// from Python code.
//
// See https://github.com/pytorch/pytorch/issues/65077
TORCH_INTERNAL_ASSERT(THPDtypeType.tp_dict == nullptr);
auto dict = THPObjectPtr(PyDict_New());
if (!dict)
throw python_error();
auto torch = THPUtils_packString("torch");
if (!torch)
throw python_error();
if (PyDict_SetItemString(dict, "__module__", torch) < 0) {
throw python_error();
}
THPDtypeType.tp_dict = dict.release();
if (PyType_Ready(&THPDtypeType) < 0) {
throw python_error();
}
Py_INCREF(&THPDtypeType);
if (PyModule_AddObject(module, "dtype", (PyObject*)&THPDtypeType) != 0) {
throw python_error();
}
}
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