未验证 提交 bbc6c571 编写于 作者: G guru4elephant 提交者: GitHub

Merge pull request #16887 from guru4elephant/add_nccl_context_pybind

Add nccl context pybind
...@@ -3,3 +3,5 @@ if(WITH_PSLIB) ...@@ -3,3 +3,5 @@ if(WITH_PSLIB)
else() else()
cc_library(fleet_wrapper SRCS fleet_wrapper.cc DEPS framework_proto variable_helper scope) cc_library(fleet_wrapper SRCS fleet_wrapper.cc DEPS framework_proto variable_helper scope)
endif(WITH_PSLIB) endif(WITH_PSLIB)
cc_library(nccl_wrapper SRCS nccl_wrapper.cc DEPS framework_proto variable_helper scope)
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/fluid/framework/fleet/nccl_wrapper.h"
#include <utility>
#include "paddle/fluid/framework/data_feed.h"
#include "paddle/fluid/framework/scope.h"
namespace paddle {
namespace framework {
std::shared_ptr<NCCLWrapper> NCCLWrapper::s_instance_ = NULL;
bool NCCLWrapper::is_initialized_ = false;
void NCCLWrapper::InitNCCL() {
#ifdef PADDLE_WITH_CUDA
PADDLE_ENFORCE(platform::dynload::ncclCommInitRank(
&(nccl_info_.comm_), nccl_info_.global_ranks_, nccl_info_.nccl_id_,
nccl_info_.my_global_rank_));
#endif
return;
}
void NCCLWrapper::SetNCCLId(const NCCLInfo& nccl_info) {
#ifdef PADDLE_WITH_CUDA
nccl_info_.nccl_id_ = nccl_info.nccl_id_;
#endif
return;
}
NCCLInfo NCCLWrapper::GetNCCLId() {
#ifdef PADDLE_WITH_CUDA
PADDLE_ENFORCE(platform::dynload::ncclGetUniqueId(&(nccl_info_.nccl_id_)));
#endif
return nccl_info_;
}
void NCCLWrapper::SetRankInfo(const int local_rank, const int global_rank,
const int ranks) {
#ifdef PADDLE_WITH_CUDA
nccl_info_.local_rank_ = local_rank;
nccl_info_.my_global_rank_ = global_rank;
nccl_info_.global_ranks_ = ranks;
PADDLE_ENFORCE(cudaSetDevice(local_rank));
PADDLE_ENFORCE(cudaStreamCreate(&(nccl_info_.stream_)));
#endif
return;
}
void NCCLWrapper::SyncVar(const int root_rank, const Scope& scope,
const std::vector<std::string>& var_names) {
#ifdef PADDLE_WITH_CUDA
for (auto& name : var_names) {
auto var = scope.FindVar(name);
LoDTensor* tensor = var->GetMutable<LoDTensor>();
int32_t total_size = tensor->numel();
PADDLE_ENFORCE(platform::dynload::ncclBcast(
reinterpret_cast<void*>(tensor->data<float>()), total_size, ncclFloat,
root_rank, nccl_info_.comm_, nccl_info_.stream_));
cudaStreamSynchronize(nccl_info_.stream_);
}
#endif
return;
}
} // end namespace framework
} // end namespace paddle
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <atomic>
#include <ctime>
#include <map>
#include <memory>
#include <random>
#include <string>
#include <vector>
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/framework/variable_helper.h"
#ifdef PADDLE_WITH_CUDA
#include "paddle/fluid/platform/dynload/nccl.h"
#endif
#include "paddle/fluid/platform/macros.h" // for DISABLE_COPY_AND_ASSIGN
namespace paddle {
namespace framework {
class NCCLInfo {
public:
NCCLInfo() {}
virtual ~NCCLInfo() {}
public:
int local_rank_;
int global_ranks_;
int my_global_rank_;
#ifdef PADDLE_WITH_CUDA
ncclUniqueId nccl_id_;
ncclComm_t comm_;
cudaStream_t stream_;
#endif
};
class NCCLWrapper {
public:
virtual ~NCCLWrapper() {}
NCCLWrapper() {}
void InitNCCL();
void SetNCCLId(const NCCLInfo& nccl_info);
NCCLInfo GetNCCLId();
void SetRankInfo(const int local_rank, const int global_rank,
const int ranks);
void SyncVar(const int root_rank, const Scope& scope,
const std::vector<std::string>& var_names);
static std::shared_ptr<NCCLWrapper> GetInstance() {
if (NULL == s_instance_) {
s_instance_.reset(new paddle::framework::NCCLWrapper());
}
return s_instance_;
}
public:
NCCLInfo nccl_info_;
private:
static std::shared_ptr<NCCLWrapper> s_instance_;
protected:
static bool is_initialized_;
DISABLE_COPY_AND_ASSIGN(NCCLWrapper);
};
} // end namespace framework
} // end namespace paddle
set(PYBIND_DEPS pybind python proto_desc memory executor async_executor fleet_wrapper prune set(PYBIND_DEPS pybind python proto_desc memory executor async_executor fleet_wrapper nccl_wrapper prune
feed_fetch_method pass_builder parallel_executor profiler layer scope_pool feed_fetch_method pass_builder parallel_executor profiler layer scope_pool
tracer analysis_predictor imperative_profiler nccl_context) tracer analysis_predictor imperative_profiler nccl_context)
if(WITH_PYTHON) if(WITH_PYTHON)
list(APPEND PYBIND_DEPS py_func_op) list(APPEND PYBIND_DEPS py_func_op)
endif() endif()
set(PYBIND_SRCS pybind.cc exception.cc protobuf.cc const_value.cc recordio.cc reader_py.cc async_executor_py.cc fleet_wrapper_py.cc data_set_py.cc imperative.cc ir.cc inference_api.cc) set(PYBIND_SRCS pybind.cc exception.cc protobuf.cc const_value.cc recordio.cc reader_py.cc async_executor_py.cc fleet_wrapper_py.cc nccl_wrapper_py.cc data_set_py.cc imperative.cc ir.cc inference_api.cc)
if(WITH_PYTHON) if(WITH_PYTHON)
if(WITH_AMD_GPU) if(WITH_AMD_GPU)
......
...@@ -36,7 +36,6 @@ limitations under the License. */ ...@@ -36,7 +36,6 @@ limitations under the License. */
#include "paddle/fluid/pybind/fleet_wrapper_py.h" #include "paddle/fluid/pybind/fleet_wrapper_py.h"
namespace py = pybind11; namespace py = pybind11;
namespace pd = paddle::framework;
namespace paddle { namespace paddle {
namespace pybind { namespace pybind {
......
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include <fcntl.h>
#ifdef _POSIX_C_SOURCE
#undef _POSIX_C_SOURCE
#endif
#ifdef _XOPEN_SOURCE
#undef _XOPEN_SOURCE
#endif
#include <string>
#include <vector>
#include "google/protobuf/io/zero_copy_stream_impl.h"
#include "google/protobuf/text_format.h"
#include "paddle/fluid/framework/async_executor.h"
#include "paddle/fluid/framework/data_feed.h"
#include "paddle/fluid/framework/data_feed.pb.h"
#include "paddle/fluid/framework/fleet/nccl_wrapper.h"
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/inference/io.h"
#include "paddle/fluid/platform/place.h"
#include "paddle/fluid/platform/variant.h"
#include "paddle/fluid/pybind/nccl_wrapper_py.h"
namespace py = pybind11;
namespace pd = paddle::framework;
namespace paddle {
namespace pybind {
void BindNCCLWrapper(py::module* m) {
py::class_<framework::NCCLWrapper>(*m, "Nccl")
.def(py::init())
.def("init_nccl", &framework::NCCLWrapper::InitNCCL)
.def("set_nccl_id", &framework::NCCLWrapper::SetNCCLId)
.def("set_rank_info", &framework::NCCLWrapper::SetRankInfo)
.def("sync_var", &framework::NCCLWrapper::SyncVar);
} // end NCCLWrapper
} // end namespace pybind
} // end namespace paddle
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include "pybind11/pybind11.h"
#include "pybind11/stl.h"
namespace py = pybind11;
namespace paddle {
namespace pybind {
void BindNCCLWrapper(py::module* m);
} // namespace pybind
} // namespace paddle
...@@ -58,6 +58,7 @@ limitations under the License. */ ...@@ -58,6 +58,7 @@ limitations under the License. */
#include "paddle/fluid/pybind/imperative.h" #include "paddle/fluid/pybind/imperative.h"
#include "paddle/fluid/pybind/inference_api.h" #include "paddle/fluid/pybind/inference_api.h"
#include "paddle/fluid/pybind/ir.h" #include "paddle/fluid/pybind/ir.h"
#include "paddle/fluid/pybind/nccl_wrapper_py.h"
#include "paddle/fluid/pybind/protobuf.h" #include "paddle/fluid/pybind/protobuf.h"
#include "paddle/fluid/pybind/pybind.h" // NOLINT #include "paddle/fluid/pybind/pybind.h" // NOLINT
#include "paddle/fluid/pybind/reader_py.h" #include "paddle/fluid/pybind/reader_py.h"
...@@ -1405,6 +1406,7 @@ All parameter, weight, gradient are variables in Paddle. ...@@ -1405,6 +1406,7 @@ All parameter, weight, gradient are variables in Paddle.
BindRecordIOWriter(&m); BindRecordIOWriter(&m);
BindAsyncExecutor(&m); BindAsyncExecutor(&m);
BindFleetWrapper(&m); BindFleetWrapper(&m);
BindNCCLWrapper(&m);
BindGraph(&m); BindGraph(&m);
BindNode(&m); BindNode(&m);
BindInferenceApi(&m); BindInferenceApi(&m);
......
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