/* 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 // for strdup #include #include #include #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/platform/cpu_helper.h" #include "paddle/fluid/platform/cpu_info.h" #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/init.h" #include "paddle/fluid/platform/place.h" #include "paddle/fluid/string/piece.h" DEFINE_int32(paddle_num_threads, 1, "Number of threads for each paddle instance."); namespace paddle { namespace framework { std::once_flag gflags_init_flag; std::once_flag p2p_init_flag; void InitGflags(std::vector argv) { std::call_once(gflags_init_flag, [&]() { argv.insert(argv.begin(), "dummy"); int argc = argv.size(); char **arr = new char *[argv.size()]; std::string line; for (size_t i = 0; i < argv.size(); i++) { arr[i] = &argv[i][0]; line += argv[i]; line += ' '; } google::ParseCommandLineFlags(&argc, &arr, true); VLOG(1) << "Init commandline: " << line; }); } void InitP2P(std::vector devices) { #ifdef PADDLE_WITH_CUDA std::call_once(p2p_init_flag, [&]() { int count = devices.size(); for (int i = 0; i < count; ++i) { for (int j = 0; j < count; ++j) { if (devices[i] == devices[j]) continue; int can_acess = -1; PADDLE_ENFORCE( cudaDeviceCanAccessPeer(&can_acess, devices[i], devices[j]), "Failed to test P2P access."); if (can_acess != 1) { LOG(WARNING) << "Cannot enable P2P access from " << devices[i] << " to " << devices[j]; } else { cudaSetDevice(devices[i]); cudaDeviceEnablePeerAccess(devices[j], 0); } } } }); #endif } void InitDevices(bool init_p2p) { /*Init all available devices by default */ std::vector devices; #ifdef PADDLE_WITH_CUDA try { int count = platform::GetCUDADeviceCount(); for (int i = 0; i < count; ++i) { devices.push_back(i); } } catch (const std::exception &exp) { LOG(WARNING) << "Compiled with WITH_GPU, but no GPU found in runtime."; } #else LOG(WARNING) << "'CUDA' is not supported, Please re-compile with WITH_GPU option"; #endif InitDevices(init_p2p, devices); } void InitDevices(bool init_p2p, const std::vector devices) { std::vector places; int count = 0; #ifdef PADDLE_WITH_CUDA try { count = platform::GetCUDADeviceCount(); } catch (const std::exception &exp) { LOG(WARNING) << "Compiled with WITH_GPU, but no GPU found in runtime."; } #else LOG(WARNING) << "'CUDA' is not supported, Please re-compile with WITH_GPU option"; #endif for (size_t i = 0; i < devices.size(); ++i) { if (devices[i] >= count || devices[i] < 0) { LOG(WARNING) << "Invalid devices id."; continue; } places.emplace_back(platform::CUDAPlace(devices[i])); } if (init_p2p) { InitP2P(devices); } places.emplace_back(platform::CPUPlace()); platform::DeviceContextPool::Init(places); #ifndef PADDLE_WITH_MKLDNN platform::SetNumThreads(FLAGS_paddle_num_threads); #endif if (platform::jit::MayIUse(platform::jit::avx512_common)) { #ifndef __AVX512F__ LOG(WARNING) << "AVX512F is available, Please re-compile on local machine"; #endif } if (platform::jit::MayIUse(platform::jit::avx2)) { #ifndef __AVX2__ LOG(WARNING) << "AVX2 is available, Please re-compile on local machine"; #endif } if (platform::jit::MayIUse(platform::jit::avx)) { #ifndef __AVX__ LOG(WARNING) << "AVX is available, Please re-compile on local machine"; #endif } } void InitGLOG(const std::string &prog_name) { // glog will not hold the ARGV[0] inside. // Use strdup to alloc a new string. google::InitGoogleLogging(strdup(prog_name.c_str())); google::InstallFailureSignalHandler(); } } // namespace framework } // namespace paddle