mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
553ccccc54
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/47343 Test Plan: Imported from OSS Reviewed By: gmagogsfm Differential Revision: D24723418 Pulled By: wanchaol fbshipit-source-id: 0463819b96c53b12bdbb3905431110d7b21beb77
58 lines
1.5 KiB
C++
58 lines
1.5 KiB
C++
#include <gtest/gtest.h>
|
|
|
|
#include "e2e_test_base.h"
|
|
|
|
#include <c10d/ProcessGroupGloo.hpp>
|
|
#include <torch/csrc/distributed/rpc/request_callback_no_python.h>
|
|
#include <torch/csrc/distributed/rpc/tensorpipe_agent.h>
|
|
#include <torch/torch.h>
|
|
|
|
namespace torch {
|
|
namespace distributed {
|
|
namespace rpc {
|
|
|
|
|
|
#ifdef USE_TENSORPIPE
|
|
|
|
class TestE2ETensorPipe : public TestE2EBase {
|
|
protected:
|
|
void buildRpcAgent() override {
|
|
c10d::ProcessGroupGloo::Options options;
|
|
options.devices.push_back(
|
|
::c10d::ProcessGroupGloo::createDeviceForHostname(serverAddress));
|
|
float rpcTimeout = 30;
|
|
|
|
// Initialize server rpc agent.
|
|
auto pg = c10::make_intrusive<c10d::ProcessGroupGloo>(
|
|
store, 0, numWorkers, options);
|
|
|
|
TensorPipeRpcBackendOptions opts(
|
|
/*numWorkerThreads=*/std::max(16U, std::thread::hardware_concurrency()),
|
|
/*transports=*/nullopt,
|
|
/*channels=*/nullopt,
|
|
/*rpc_timeout=*/rpcTimeout,
|
|
/*init_method=*/"unused");
|
|
|
|
rpcAgent = std::make_shared<TensorPipeAgent>(
|
|
store,
|
|
"worker",
|
|
0,
|
|
numWorkers,
|
|
pg,
|
|
opts,
|
|
std::make_unique<RequestCallbackNoPython>());
|
|
}
|
|
};
|
|
|
|
// End to end training loop test in C++ so that we can run LSAN on this test to
|
|
// catch memory leaks. Enabling LSAN with python multiprocessing has been
|
|
// challenging and we don't have a good solution yet.
|
|
TEST_F(TestE2ETensorPipe, TestTrainingLoop) {
|
|
runTrainingLoop();
|
|
}
|
|
|
|
#endif
|
|
|
|
} // namespace rpc
|
|
} // namespace distributed
|
|
} // namespace torch
|