init.cc 11.9 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
D
dzhwinter 已提交
2

L
Luo Tao 已提交
3 4 5
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
D
dzhwinter 已提交
6

L
Luo Tao 已提交
7
    http://www.apache.org/licenses/LICENSE-2.0
D
dzhwinter 已提交
8

L
Luo Tao 已提交
9 10 11 12 13
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. */
Y
Yang Yu 已提交
14
#include <string.h>  // for strdup
L
Leo Chen 已提交
15

D
dzhwinter 已提交
16
#include <algorithm>
C
chengduo 已提交
17 18
#include <fstream>
#include <iostream>
Q
qingqing01 已提交
19 20
#include <memory>
#include <set>
D
dzhwinter 已提交
21
#include <stdexcept>
D
dzhwinter 已提交
22 23
#include <string>

Y
Yi Wang 已提交
24
#include "paddle/fluid/framework/operator.h"
T
tensor-tang 已提交
25
#include "paddle/fluid/platform/cpu_helper.h"
T
tensor-tang 已提交
26
#include "paddle/fluid/platform/cpu_info.h"
27
#include "paddle/fluid/string/split.h"
S
sneaxiy 已提交
28
#ifdef PADDLE_WITH_CUDA
Y
Yu Yang 已提交
29
#include "paddle/fluid/platform/cuda_device_guard.h"
30
#include "paddle/fluid/platform/dynload/cupti.h"
S
sneaxiy 已提交
31
#endif
Y
Yi Wang 已提交
32
#include "paddle/fluid/platform/device_context.h"
33
#include "paddle/fluid/platform/init.h"
Y
Yi Wang 已提交
34
#include "paddle/fluid/platform/place.h"
35
#include "paddle/fluid/string/piece.h"
36

37 38 39 40 41
#ifdef PADDLE_WITH_XPU
#include "paddle/fluid/platform/xpu_header.h"
#include "paddle/fluid/platform/xpu_info.h"
#endif

42 43 44 45 46 47 48
#ifdef WITH_WIN_DUMP_DBG
#include <stdio.h>
#include <time.h>
#include <windows.h>
#include "DbgHelp.h"
#endif

49
DECLARE_int32(paddle_num_threads);
50 51 52
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.");
T
tensor-tang 已提交
53

54 55 56 57 58 59 60 61 62 63
namespace paddle {
namespace platform {

void ParseCommandLineFlags(int argc, char **argv, bool remove) {
  google::ParseCommandLineFlags(&argc, &argv, remove);
}

}  // namespace platform
}  // namespace paddle

D
dzhwinter 已提交
64 65 66
namespace paddle {
namespace framework {

67 68 69 70
#ifdef _WIN32
#define strdup _strdup
#endif

D
dzhwinter 已提交
71
std::once_flag gflags_init_flag;
72
std::once_flag glog_init_flag;
D
dzhwinter 已提交
73

74
bool InitGflags(std::vector<std::string> args) {
75
  bool successed = false;
D
dzhwinter 已提交
76
  std::call_once(gflags_init_flag, [&]() {
C
chengduo 已提交
77
    FLAGS_logtostderr = true;
L
Leo Chen 已提交
78 79 80 81 82
    // NOTE(zhiqiu): dummy is needed, since the function
    // ParseNewCommandLineFlags in gflags.cc starts processing
    // commandline strings from idx 1.
    // The reason is, it assumes that the first one (idx 0) is
    // the filename of executable file.
83 84
    args.insert(args.begin(), "dummy");
    std::vector<char *> argv;
D
dzhwinter 已提交
85
    std::string line;
86 87 88 89
    int argc = args.size();
    for (auto &arg : args) {
      argv.push_back(const_cast<char *>(arg.data()));
      line += arg;
D
dzhwinter 已提交
90 91
      line += ' ';
    }
L
Leo Chen 已提交
92 93
    VLOG(1) << "Before Parse: argc is " << argc
            << ", Init commandline: " << line;
94 95

    char **arr = argv.data();
D
dzhwinter 已提交
96
    google::ParseCommandLineFlags(&argc, &arr, true);
97
    successed = true;
98 99

    VLOG(1) << "After Parse: argc is " << argc;
D
dzhwinter 已提交
100
  });
101
  return successed;
D
dzhwinter 已提交
102 103
}

104 105 106 107
void InitCupti() {
#ifdef PADDLE_WITH_CUPTI
  if (FLAGS_multiple_of_cupti_buffer_size == 1) return;
  size_t attrValue = 0, attrValueSize = sizeof(size_t);
G
GaoWei8 已提交
108 109 110 111 112 113 114 115 116 117 118 119
#define MULTIPLY_ATTR_VALUE(attr)                                            \
  {                                                                          \
    PADDLE_ENFORCE_EQ(                                                       \
        !platform::dynload::cuptiActivityGetAttribute(attr, &attrValueSize,  \
                                                      &attrValue),           \
        true, platform::errors::Unavailable("Get cupti attribute failed.")); \
    attrValue *= FLAGS_multiple_of_cupti_buffer_size;                        \
    LOG(WARNING) << "Set " #attr " " << attrValue << " byte";                \
    PADDLE_ENFORCE_EQ(                                                       \
        !platform::dynload::cuptiActivitySetAttribute(attr, &attrValueSize,  \
                                                      &attrValue),           \
        true, platform::errors::Unavailable("Set cupti attribute failed.")); \
120 121 122 123 124 125 126 127 128 129
  }
  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
}

130
void InitDevices() {
131 132 133
  // CUPTI attribute should be set before any CUDA context is created (see CUPTI
  // documentation about CUpti_ActivityAttribute).
  InitCupti();
134
  /*Init all available devices by default */
135
  std::vector<int> devices;
136
#ifdef PADDLE_WITH_CUDA
D
dzhwinter 已提交
137
  try {
138 139
    // use user specified GPUs in single-node multi-process mode.
    devices = platform::GetSelectedDevices();
D
dzhwinter 已提交
140 141
  } catch (const std::exception &exp) {
    LOG(WARNING) << "Compiled with WITH_GPU, but no GPU found in runtime.";
142
  }
143 144 145 146 147 148 149 150
#endif
#ifdef PADDLE_WITH_XPU
  try {
    // use user specified XPUs in single-node multi-process mode.
    devices = platform::GetXPUSelectedDevices();
  } catch (const std::exception &exp) {
    LOG(WARNING) << "Compiled with WITH_XPU, but no XPU found in runtime.";
  }
D
dzhwinter 已提交
151
#endif
152
  InitDevices(devices);
D
dzhwinter 已提交
153 154
}

155
void InitDevices(const std::vector<int> devices) {
156 157 158
  std::vector<platform::Place> places;

  for (size_t i = 0; i < devices.size(); ++i) {
159 160 161
    // In multi process multi gpu mode, we may have gpuid = 7
    // but count = 1.
    if (devices[i] < 0) {
162 163 164
      LOG(WARNING) << "Invalid devices id.";
      continue;
    }
165 166

#ifdef PADDLE_WITH_CUDA
167
    places.emplace_back(platform::CUDAPlace(devices[i]));
168 169 170 171
#endif
#ifdef PADDLE_WITH_XPU
    places.emplace_back(platform::XPUPlace(devices[i]));
#endif
172 173
  }
  places.emplace_back(platform::CPUPlace());
174 175 176
#ifdef PADDLE_WITH_CUDA
  places.emplace_back(platform::CUDAPinnedPlace());
#endif
177
  platform::DeviceContextPool::Init(places);
Q
qingqing01 已提交
178

179
#ifndef PADDLE_WITH_MKLDNN
T
tensor-tang 已提交
180
  platform::SetNumThreads(FLAGS_paddle_num_threads);
181
#endif
T
tensor-tang 已提交
182

T
tensor-tang 已提交
183
#if !defined(_WIN32) && !defined(__APPLE__) && !defined(__OSX__)
T
tensor-tang 已提交
184
  if (platform::MayIUse(platform::avx)) {
T
tensor-tang 已提交
185 186 187 188
#ifndef __AVX__
    LOG(WARNING) << "AVX is available, Please re-compile on local machine";
#endif
  }
189 190

// Throw some informations when CPU instructions mismatch.
191 192 193 194 195 196
#define AVX_GUIDE(compiletime, runtime)                                  \
  PADDLE_THROW(platform::errors::Unavailable(                            \
      "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."))
197 198

#ifdef __AVX512F__
T
tensor-tang 已提交
199 200
  if (!platform::MayIUse(platform::avx512f)) {
    if (platform::MayIUse(platform::avx2)) {
201
      AVX_GUIDE(AVX512, AVX2);
T
tensor-tang 已提交
202
    } else if (platform::MayIUse(platform::avx)) {
203 204 205 206 207
      AVX_GUIDE(AVX512, AVX);
    } else {
      AVX_GUIDE(AVX512, NonAVX);
    }
  }
T
tensor-tang 已提交
208
#endif
209 210

#ifdef __AVX2__
T
tensor-tang 已提交
211 212
  if (!platform::MayIUse(platform::avx2)) {
    if (platform::MayIUse(platform::avx)) {
213 214 215 216
      AVX_GUIDE(AVX2, AVX);
    } else {
      AVX_GUIDE(AVX2, NonAVX);
    }
T
tensor-tang 已提交
217 218
  }
#endif
219 220

#ifdef __AVX__
T
tensor-tang 已提交
221
  if (!platform::MayIUse(platform::avx)) {
222
    AVX_GUIDE(AVX, NonAVX);
T
tensor-tang 已提交
223
  }
224 225
#endif
#undef AVX_GUIDE
T
tensor-tang 已提交
226 227

#endif
228 229
}

C
chengduo 已提交
230
#ifndef _WIN32
231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261
// Description Quoted from
// https://pubs.opengroup.org/onlinepubs/9699919799/basedefs/signal.h.html
const struct {
  const char *name;
  const char *error_string;
} SignalErrorStrings[] = {
    {"SIGSEGV", "Segmentation fault"},
    {"SIGILL", "Illegal instruction"},
    {"SIGFPE", "Erroneous arithmetic operation"},
    {"SIGABRT", "Process abort signal"},
    {"SIGBUS", "Access to an undefined portion of a memory object"},
    {"SIGTERM", "Termination signal"},
};

bool StartsWith(const char *str, const char *prefix) {
  size_t len_prefix = strlen(prefix);
  size_t len_str = strlen(str);
  return len_str < len_prefix ? false : memcmp(prefix, str, len_prefix) == 0;
}

const char *ParseSignalErrorString(const std::string &str) {
  for (size_t i = 0;
       i < (sizeof(SignalErrorStrings) / sizeof(*(SignalErrorStrings))); ++i) {
    if (std::string::npos != str.find(SignalErrorStrings[i].name)) {
      return SignalErrorStrings[i].error_string;
    }
  }
  return "Unknown signal";
}

// Handle SIGSEGV, SIGILL, SIGFPE, SIGABRT, SIGBUS, and SIGTERM.
262
void SignalHandle(const char *data, int size) {
C
chengduo 已提交
263
  try {
264 265
    // NOTE1: The glog FailureSignalHandler dumped messages
    //   are deal with line by line
266
    auto signal_msg_dunmer_ptr = SignalMessageDumper::Instance().Get();
267 268 269
    // NOTE2: we only deal with the time info ane signal info,
    //   the stack trace will generated by paddle self
    if (StartsWith(data, "*** Aborted at")) {
270
      *signal_msg_dunmer_ptr << "\n  [TimeInfo: " << std::string(data, size - 1)
271
                             << "]\n";
272 273 274 275 276
    } else if (StartsWith(data, "***")) {
      std::string signal_info(data, size - 1);
      std::string useless_substr("; stack trace:");
      size_t start_pos = signal_info.rfind(useless_substr);
      signal_info.replace(start_pos, useless_substr.length(), "");
277
      *signal_msg_dunmer_ptr << "  [SignalInfo: " << signal_info << "]\n";
278 279 280

      // NOTE3: Final singal error message print.
      // Here does not throw an exception,
281
      // otherwise it will casue "terminate called recursively"
282 283 284 285 286 287 288 289 290
      std::ostringstream sout;
      sout << platform::GetCurrentTraceBackString();
      sout << "\n----------------------\nError Message "
              "Summary:\n----------------------\n";
      sout << platform::errors::Fatal(
                  "`%s` is detected by the operating system.",
                  ParseSignalErrorString(signal_info))
                  .to_string();
      std::cout << sout.str() << (*signal_msg_dunmer_ptr).str() << std::endl;
291
    }
C
chengduo 已提交
292
  } catch (...) {
293 294 295
    // Since the program has already triggered a system error,
    // no further processing is required here, glog FailureSignalHandler
    // will Kill program by the default signal handler
C
chengduo 已提交
296 297 298 299
  }
}
#endif

300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338
#ifdef WITH_WIN_DUMP_DBG
typedef BOOL(WINAPI *MINIDUMP_WRITE_DUMP)(
    IN HANDLE hProcess, IN DWORD ProcessId, IN HANDLE hFile,
    IN MINIDUMP_TYPE DumpType,
    IN CONST PMINIDUMP_EXCEPTION_INFORMATION ExceptionParam,
    OPTIONAL IN PMINIDUMP_USER_STREAM_INFORMATION UserStreamParam,
    OPTIONAL IN PMINIDUMP_CALLBACK_INFORMATION CallbackParam OPTIONAL);
void CreateDumpFile(LPCSTR lpstrDumpFilePathName,
                    EXCEPTION_POINTERS *pException) {
  HANDLE hDumpFile = CreateFile(lpstrDumpFilePathName, GENERIC_WRITE, 0, NULL,
                                CREATE_ALWAYS, FILE_ATTRIBUTE_NORMAL, NULL);
  MINIDUMP_EXCEPTION_INFORMATION dumpInfo;
  dumpInfo.ExceptionPointers = pException;
  dumpInfo.ThreadId = GetCurrentThreadId();
  dumpInfo.ClientPointers = TRUE;
  MINIDUMP_WRITE_DUMP MiniDumpWriteDump_;
  HMODULE hDbgHelp = LoadLibrary("DBGHELP.DLL");
  MiniDumpWriteDump_ =
      (MINIDUMP_WRITE_DUMP)GetProcAddress(hDbgHelp, "MiniDumpWriteDump");
  MiniDumpWriteDump_(GetCurrentProcess(), GetCurrentProcessId(), hDumpFile,
                     MiniDumpWithPrivateReadWriteMemory, &dumpInfo, NULL, NULL);
  CloseHandle(hDumpFile);
}

LONG ApplicationCrashHandler(EXCEPTION_POINTERS *pException) {
  time_t time_seconds = time(0);
  struct tm now_time;
  localtime_s(&now_time, &time_seconds);

  char buf[1024];
  sprintf_s(buf, "C:\\Paddle%04d%02d%02d-%02d%02d%02d.dmp",
            1900 + now_time.tm_year, 1 + now_time.tm_mon, now_time.tm_mday,
            now_time.tm_hour, now_time.tm_min, now_time.tm_sec);

  CreateDumpFile(buf, pException);
  return EXCEPTION_EXECUTE_HANDLER;
}
#endif

Y
Yang Yu 已提交
339
void InitGLOG(const std::string &prog_name) {
340
  std::call_once(glog_init_flag, [&]() {
341 342 343 344 345 346
// glog will not hold the ARGV[0] inside.
// Use strdup to alloc a new string.
#ifdef WITH_WIN_DUMP_DBG
    SetUnhandledExceptionFilter(
        (LPTOP_LEVEL_EXCEPTION_FILTER)ApplicationCrashHandler);
#endif
347
    google::InitGoogleLogging(strdup(prog_name.c_str()));
C
chengduo 已提交
348
#ifndef _WIN32
349 350
    google::InstallFailureSignalHandler();
    google::InstallFailureWriter(&SignalHandle);
C
chengduo 已提交
351
#endif
352
  });
Y
Yang Yu 已提交
353 354
}

D
dzhwinter 已提交
355 356
}  // namespace framework
}  // namespace paddle