/* 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 #include #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/platform/cpu_helper.h" #include "paddle/fluid/platform/cpu_info.h" #include "paddle/fluid/string/split.h" #ifdef PADDLE_WITH_CUDA #include "paddle/fluid/platform/cuda_device_guard.h" #include "paddle/fluid/platform/dynload/cupti.h" #endif #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" #if defined(PADDLE_WITH_DGC) #include "dgc/dgc.h" #endif DEFINE_int32(paddle_num_threads, 1, "Number of threads for each paddle instance."); DEFINE_int32(multiple_of_cupti_buffer_size, 1, "Multiple of the CUPTI device buffer size. If the timestamps have " "been dropped when you are profiling, try increasing this value."); namespace paddle { namespace framework { std::once_flag gflags_init_flag; std::once_flag p2p_init_flag; #if defined(PADDLE_WITH_CUDA) && !defined(_WIN32) std::once_flag dgc_init_flag; #endif void InitGflags(std::vector argv) { std::call_once(gflags_init_flag, [&]() { FLAGS_logtostderr = true; 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 { platform::CUDADeviceGuard guard(devices[i]); cudaDeviceEnablePeerAccess(devices[j], 0); } } } }); #endif } void InitCupti() { #ifdef PADDLE_WITH_CUPTI if (FLAGS_multiple_of_cupti_buffer_size == 1) return; size_t attrValue = 0, attrValueSize = sizeof(size_t); #define MULTIPLY_ATTR_VALUE(attr) \ { \ PADDLE_ENFORCE(!platform::dynload::cuptiActivityGetAttribute( \ attr, &attrValueSize, &attrValue)); \ attrValue *= FLAGS_multiple_of_cupti_buffer_size; \ LOG(WARNING) << "Set " #attr " " << attrValue << " byte"; \ PADDLE_ENFORCE(!platform::dynload::cuptiActivitySetAttribute( \ attr, &attrValueSize, &attrValue)); \ } MULTIPLY_ATTR_VALUE(CUPTI_ACTIVITY_ATTR_DEVICE_BUFFER_SIZE); MULTIPLY_ATTR_VALUE(CUPTI_ACTIVITY_ATTR_DEVICE_BUFFER_SIZE_CDP); #if CUDA_VERSION >= 9000 MULTIPLY_ATTR_VALUE(CUPTI_ACTIVITY_ATTR_PROFILING_SEMAPHORE_POOL_SIZE); #endif #undef MULTIPLY_ATTR_VALUE #endif } void InitDevices(bool init_p2p) { // CUPTI attribute should be set before any CUDA context is created (see CUPTI // documentation about CUpti_ActivityAttribute). InitCupti(); /*Init all available devices by default */ std::vector devices; #ifdef PADDLE_WITH_CUDA try { // use user specified GPUs in single-node multi-process mode. devices = platform::GetSelectedDevices(); } catch (const std::exception &exp) { LOG(WARNING) << "Compiled with WITH_GPU, but no GPU found in runtime."; } #endif InitDevices(init_p2p, devices); } void InitDevices(bool init_p2p, const std::vector devices) { std::vector places; for (size_t i = 0; i < devices.size(); ++i) { // In multi process multi gpu mode, we may have gpuid = 7 // but count = 1. if (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); platform::DeviceTemporaryAllocator::Init(); #ifndef PADDLE_WITH_MKLDNN platform::SetNumThreads(FLAGS_paddle_num_threads); #endif #if !defined(_WIN32) && !defined(__APPLE__) && !defined(__OSX__) if (platform::MayIUse(platform::avx)) { #ifndef __AVX__ LOG(WARNING) << "AVX is available, Please re-compile on local machine"; #endif } // Throw some informations when CPU instructions mismatch. #define AVX_GUIDE(compiletime, runtime) \ LOG(FATAL) \ << "This version is compiled on higher instruction(" #compiletime \ ") system, you may encounter illegal instruction error running on" \ " your local CPU machine. Please reinstall the " #runtime \ " version or compile from source code." #ifdef __AVX512F__ if (!platform::MayIUse(platform::avx512f)) { if (platform::MayIUse(platform::avx2)) { AVX_GUIDE(AVX512, AVX2); } else if (platform::MayIUse(platform::avx)) { AVX_GUIDE(AVX512, AVX); } else { AVX_GUIDE(AVX512, NonAVX); } } #endif #ifdef __AVX2__ if (!platform::MayIUse(platform::avx2)) { if (platform::MayIUse(platform::avx)) { AVX_GUIDE(AVX2, AVX); } else { AVX_GUIDE(AVX2, NonAVX); } } #endif #ifdef __AVX__ if (!platform::MayIUse(platform::avx)) { AVX_GUIDE(AVX, NonAVX); } #endif #undef AVX_GUIDE #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())); #ifndef _WIN32 google::InstallFailureSignalHandler(); #endif } #if defined(PADDLE_WITH_DGC) void InitDGC() { std::call_once(dgc_init_flag, []() { PADDLE_ENFORCE(paddle::communication::dgc::dynloadNcclLib()); }); } #else void InitDGC() {} #endif } // namespace framework } // namespace paddle