ThreadLocalStream in C++ (#3405)

This commit is contained in:
Cheng
2026-04-15 15:46:11 -07:00
committed by GitHub
parent fd8e849e26
commit dec6b4d10f
9 changed files with 80 additions and 43 deletions
+2
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@@ -14,8 +14,10 @@ Devices and Streams
set_default_device
default_stream
new_stream
new_thread_local_stream
set_default_stream
stream
synchronize
clear_streams
device_count
device_info
+4 -1
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@@ -9,7 +9,10 @@ namespace mlx::core::gpu {
void init() {}
void new_stream(Stream) {}
void new_stream(Stream) {
throw std::invalid_argument(
"[new_stream] Cannot make gpu stream without gpu backend.");
}
void eval(array&) {
throw std::runtime_error("[gpu::eval] GPU backend is not available");
+22 -4
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@@ -6,6 +6,7 @@
#include "mlx/scheduler.h"
#include <array>
#include <map>
#include <optional>
#include <shared_mutex>
@@ -29,6 +30,11 @@ auto& all_streams() {
return streams_and_mtx;
}
auto& thread_local_streams() {
static std::tuple<std::vector<ThreadLocalStream>, std::mutex> streams_and_mtx;
return streams_and_mtx;
}
} // namespace
Stream default_stream(Device d) {
@@ -58,10 +64,6 @@ std::vector<Stream> get_streams() {
}
Stream new_stream(Device d) {
if (!gpu::is_available() && d == Device::gpu) {
throw std::invalid_argument(
"[new_stream] Cannot make gpu stream without gpu backend.");
}
auto& [streams, mtx] = all_streams();
std::unique_lock lock(mtx);
int index = streams.size();
@@ -73,4 +75,20 @@ Stream new_stream(Device d) {
return s;
}
ThreadLocalStream new_thread_local_stream(Device d) {
auto& [streams, mtx] = thread_local_streams();
std::lock_guard lock(mtx);
int index = streams.size();
return streams.emplace_back(index, d);
}
Stream stream_from_thread_local_stream(ThreadLocalStream tls) {
static thread_local std::map<ThreadLocalStream, Stream> streams;
auto it = streams.find(tls);
if (it == streams.end()) {
it = streams.emplace(tls, new_stream(tls.device)).first;
}
return it->second;
}
} // namespace mlx::core
+10
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@@ -21,6 +21,10 @@ struct MLX_API Stream {
}
};
struct MLX_API ThreadLocalStream : public Stream {
using Stream::Stream;
};
/** Get the default stream of current thread for the given device. */
MLX_API Stream default_stream(Device d);
@@ -30,6 +34,12 @@ MLX_API void set_default_stream(Stream s);
/** Make a new stream on the given device. */
MLX_API Stream new_stream(Device d);
/** Make a new stream that will be unique per thread. */
MLX_API ThreadLocalStream new_thread_local_stream(Device d);
/** Get the stream for current thread from ThreadLocalStream. */
MLX_API Stream stream_from_thread_local_stream(ThreadLocalStream tls);
/** Get all available streams. */
MLX_API std::vector<Stream> get_streams();
+2
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@@ -17,6 +17,8 @@ Stream to_stream(StreamOrDevice s) {
return default_stream(default_device());
} else if (std::holds_alternative<Device>(s)) {
return default_stream(std::get<Device>(s));
} else if (std::holds_alternative<ThreadLocalStream>(s)) {
return stream_from_thread_local_stream(std::get<ThreadLocalStream>(s));
} else {
return std::get<Stream>(s);
}
+2 -1
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@@ -13,7 +13,8 @@
namespace mlx::core {
using StreamOrDevice = std::variant<std::monostate, Stream, Device>;
using StreamOrDevice =
std::variant<std::monostate, Stream, ThreadLocalStream, Device>;
MLX_API Stream to_stream(StreamOrDevice s);
MLX_API Stream to_stream(StreamOrDevice s, Device default_);
+15 -36
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@@ -41,26 +41,6 @@ class PyStreamContext {
mx::StreamContext* _inner;
};
class PyThreadLocalStream {
public:
PyThreadLocalStream(mx::Device d) : device(d) {}
mx::Stream stream() const {
thread_local std::unordered_map<const PyThreadLocalStream*, mx::Stream>
streams;
auto it = streams.find(this);
if (it == streams.end()) {
auto result = streams.emplace(this, mx::new_stream(device));
it = result.first;
}
return it->second;
}
mx::Device device;
};
void init_stream(nb::module_& m) {
nb::class_<mx::Stream>(
m,
@@ -69,11 +49,6 @@ void init_stream(nb::module_& m) {
A stream for running operations on a given device.
)pbdoc")
.def_ro("device", &mx::Stream::device)
.def(
"__init__",
[](mx::Stream* s, const PyThreadLocalStream& tls) {
return new (s) mx::Stream(tls.stream());
})
.def(
"__repr__",
[](const mx::Stream& s) {
@@ -86,29 +61,28 @@ void init_stream(nb::module_& m) {
s == nb::cast<mx::Stream>(other);
});
nb::class_<PyThreadLocalStream>(
nb::class_<mx::ThreadLocalStream>(
m,
"ThreadLocalStream",
R"pbdoc(
A stream that will be unique per thread and can be used to run operations on a given device.
)pbdoc")
.def_ro("device", &PyThreadLocalStream::device)
.def(nb::init<mx::Device>())
.def_ro("device", &mx::ThreadLocalStream::device)
.def(
"__repr__",
[](const PyThreadLocalStream& s) {
[](const mx::ThreadLocalStream& s) {
std::ostringstream os;
os << "ThreadLocalStream(" << s.device << ")";
os << "ThreadLocalStream(" << s.device << ", " << s.index << ")";
return os.str();
})
.def("__eq__", [](const PyThreadLocalStream& s, const nb::object& other) {
auto s_other = mx::default_stream(mx::default_device());
return nb::try_cast<mx::Stream>(other, s_other) &&
s_other == s.stream();
});
.def(
"__eq__",
[](const mx::ThreadLocalStream& s, const nb::object& other) {
return nb::isinstance<mx::ThreadLocalStream>(other) &&
s == nb::cast<mx::ThreadLocalStream>(other);
});
nb::implicitly_convertible<mx::Device::DeviceType, mx::Device>();
nb::implicitly_convertible<PyThreadLocalStream, mx::Stream>();
m.def(
"default_stream",
@@ -133,6 +107,11 @@ void init_stream(nb::module_& m) {
&mx::new_stream,
"device"_a,
R"pbdoc(Make a new stream on the given device.)pbdoc");
m.def(
"new_thread_local_stream",
&mx::new_thread_local_stream,
"device"_a,
R"pbdoc(Make a new stream that will be unique per thread.)pbdoc");
m.def(
"clear_streams",
&mx::clear_streams,
+1 -1
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@@ -25,7 +25,7 @@ class TestThreads(mlx_tests.MLXTestCase):
t1.join()
t2.join()
test_stream = mx.ThreadLocalStream(mx.default_device())
test_stream = mx.new_thread_local_stream(mx.default_device())
def test_success():
with mx.stream(test_stream):
+22
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@@ -104,6 +104,28 @@ TEST_CASE("test new stream in threads") {
}
}
TEST_CASE("test thread local stream") {
auto s = new_thread_local_stream(default_device());
int result = sum(arange(10, s)).item<int>();
std::atomic<int> finished = 0;
std::vector<std::thread> threads;
int num_threads = 4;
for (int i = 0; i < 4; ++i) {
threads.emplace_back([&]() {
int r = sum(arange(10, s)).item<int>();
CHECK_EQ(result, r);
finished += 1;
clear_streams();
});
}
for (auto& t : threads) {
t.join();
}
CHECK_EQ(finished, num_threads);
}
TEST_CASE("test get streams") {
// Initialize default CPU stream before querying
default_stream(Device::cpu);