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Stream.cpp
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#include <pybind11/pybind11.h>
#include <torch/csrc/Device.h>
#include <torch/csrc/THP.h>
#include <torch/csrc/cuda/Module.h>
#include <torch/csrc/cuda/Stream.h>
#include <torch/csrc/utils/pybind.h>
#include <torch/csrc/utils/python_numbers.h>
#include <c10/cuda/CUDAGuard.h>
#include <cuda_runtime_api.h>
#include <structmember.h>
PyObject* THCPStreamClass = nullptr;
static PyObject* THCPStream_pynew(
PyTypeObject* type,
PyObject* args,
PyObject* kwargs) {
HANDLE_TH_ERRORS
const auto current_device = c10::cuda::current_device();
int priority = 0;
int64_t stream_id = 0;
int64_t device_index = 0;
int64_t device_type = 0;
uint64_t stream_ptr = 0;
// NOLINTNEXTLINE(modernize-avoid-c-arrays,cppcoreguidelines-avoid-c-arrays)
constexpr const char* kwlist[] = {
"priority",
"stream_id",
"device_index",
"device_type",
"stream_ptr",
nullptr};
if (!PyArg_ParseTupleAndKeywords(
args,
kwargs,
"|iLLLK",
// NOLINTNEXTLINE(cppcoreguidelines-pro-type-const-cast)
const_cast<char**>(kwlist),
&priority,
&stream_id,
&device_index,
&device_type,
&stream_ptr)) {
return nullptr;
}
THPObjectPtr ptr(type->tp_alloc(type, 0));
if (!ptr) {
return nullptr;
}
if (stream_ptr) {
TORCH_CHECK(
priority == 0, "Priority was explicitly set for a external stream")
}
at::cuda::CUDAStream stream = (stream_id || device_index || device_type)
? at::cuda::CUDAStream::unpack3(
stream_id,
static_cast<c10::DeviceIndex>(device_index),
static_cast<c10::DeviceType>(device_type))
: stream_ptr ? at::cuda::getStreamFromExternal(
// NOLINTNEXTLINE(performance-no-int-to-ptr)
reinterpret_cast<cudaStream_t>(stream_ptr),
current_device)
: at::cuda::getStreamFromPool(priority);
THCPStream* self = (THCPStream*)ptr.get();
self->stream_id = static_cast<int64_t>(stream.id());
self->device_index = static_cast<int64_t>(stream.device_index());
self->device_type = static_cast<int64_t>(stream.device_type());
new (&self->cuda_stream) at::cuda::CUDAStream(stream);
return (PyObject*)ptr.release();
END_HANDLE_TH_ERRORS
}
static void THCPStream_dealloc(THCPStream* self) {
self->cuda_stream.~CUDAStream();
Py_TYPE(self)->tp_free((PyObject*)self);
}
static PyObject* THCPStream_get_device(THCPStream* self, void* unused) {
HANDLE_TH_ERRORS
return THPDevice_New(self->cuda_stream.device());
END_HANDLE_TH_ERRORS
}
static PyObject* THCPStream_get_cuda_stream(THCPStream* self, void* unused) {
HANDLE_TH_ERRORS
return PyLong_FromVoidPtr(self->cuda_stream.stream());
END_HANDLE_TH_ERRORS
}
static PyObject* THCPStream_get_priority(THCPStream* self, void* unused) {
HANDLE_TH_ERRORS
return THPUtils_packInt64(self->cuda_stream.priority());
END_HANDLE_TH_ERRORS
}
static PyObject* THCPStream_priority_range(
PyObject* _unused,
PyObject* noargs) {
HANDLE_TH_ERRORS
auto [least_priority, greatest_priority] =
at::cuda::CUDAStream::priority_range();
return Py_BuildValue("(ii)", least_priority, greatest_priority);
END_HANDLE_TH_ERRORS
}
static PyObject* THCPStream_query(PyObject* _self, PyObject* noargs) {
HANDLE_TH_ERRORS
auto self = (THCPStream*)_self;
return PyBool_FromLong(self->cuda_stream.query());
END_HANDLE_TH_ERRORS
}
static PyObject* THCPStream_synchronize(PyObject* _self, PyObject* noargs) {
HANDLE_TH_ERRORS {
pybind11::gil_scoped_release no_gil;
auto self = (THCPStream*)_self;
self->cuda_stream.synchronize();
}
Py_RETURN_NONE;
END_HANDLE_TH_ERRORS
}
static PyObject* THCPStream_eq(PyObject* _self, PyObject* _other) {
HANDLE_TH_ERRORS
auto self = (THCPStream*)_self;
auto other = (THCPStream*)_other;
return PyBool_FromLong(self->cuda_stream == other->cuda_stream);
END_HANDLE_TH_ERRORS
}
// NOLINTNEXTLINE(*-c-arrays*, *-global-variables)
static struct PyMemberDef THCPStream_members[] = {{nullptr}};
// NOLINTNEXTLINE(*-c-arrays*, *-global-variables)
static struct PyGetSetDef THCPStream_properties[] = {
{"cuda_stream",
(getter)THCPStream_get_cuda_stream,
nullptr,
nullptr,
nullptr},
{"priority", (getter)THCPStream_get_priority, nullptr, nullptr, nullptr},
{nullptr}};
// NOLINTNEXTLINE(*-c-arrays*, *-global-variables)
static PyMethodDef THCPStream_methods[] = {
{"query", THCPStream_query, METH_NOARGS, nullptr},
{"synchronize", THCPStream_synchronize, METH_NOARGS, nullptr},
{"priority_range",
THCPStream_priority_range,
METH_STATIC | METH_NOARGS,
nullptr},
{"__eq__", THCPStream_eq, METH_O, nullptr},
{nullptr}};
PyTypeObject THCPStreamType = {
PyVarObject_HEAD_INIT(nullptr, 0) "torch._C._CudaStreamBase", /* tp_name */
sizeof(THCPStream), /* tp_basicsize */
0, /* tp_itemsize */
(destructor)THCPStream_dealloc, /* tp_dealloc */
0, /* tp_vectorcall_offset */
nullptr, /* tp_getattr */
nullptr, /* tp_setattr */
nullptr, /* tp_reserved */
nullptr, /* 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 | Py_TPFLAGS_BASETYPE, /* tp_flags */
nullptr, /* tp_doc */
nullptr, /* tp_traverse */
nullptr, /* tp_clear */
nullptr, /* tp_richcompare */
0, /* tp_weaklistoffset */
nullptr, /* tp_iter */
nullptr, /* tp_iternext */
THCPStream_methods, /* tp_methods */
THCPStream_members, /* tp_members */
THCPStream_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 */
THCPStream_pynew, /* tp_new */
};
void THCPStream_init(PyObject* module) {
Py_INCREF(THPStreamClass);
THCPStreamType.tp_base = THPStreamClass;
THCPStreamClass = (PyObject*)&THCPStreamType;
if (PyType_Ready(&THCPStreamType) < 0) {
throw python_error();
}
Py_INCREF(&THCPStreamType);
if (PyModule_AddObject(
module, "_CudaStreamBase", (PyObject*)&THCPStreamType) < 0) {
throw python_error();
}
}