init.cc 16.7 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. */
14
#include <csignal>
C
chengduo 已提交
15
#include <fstream>
D
dzhwinter 已提交
16 17
#include <string>

T
tensor-tang 已提交
18
#include "paddle/fluid/platform/cpu_helper.h"
T
tensor-tang 已提交
19
#include "paddle/fluid/platform/cpu_info.h"
20
#include "paddle/fluid/platform/device/npu/npu_info.h"
21
#include "paddle/fluid/string/split.h"
22
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
Y
Yu Yang 已提交
23
#include "paddle/fluid/platform/cuda_device_guard.h"
24 25
#endif
#ifdef PADDLE_WITH_CUDA
26
#include "paddle/fluid/platform/dynload/cupti.h"
S
sneaxiy 已提交
27
#endif
28
#include "paddle/fluid/platform/device/device_wrapper.h"
Y
Yi Wang 已提交
29
#include "paddle/fluid/platform/device_context.h"
30
#include "paddle/fluid/platform/init.h"
L
liutiexing 已提交
31
#include "paddle/fluid/platform/os_info.h"
Y
Yi Wang 已提交
32
#include "paddle/fluid/platform/place.h"
33

34
#ifdef PADDLE_WITH_XPU
35 36
#include "paddle/fluid/platform/device/xpu/xpu_header.h"
#include "paddle/fluid/platform/device/xpu/xpu_info.h"
37 38
#endif

F
fwenguang 已提交
39 40 41 42
#ifdef PADDLE_WITH_MLU
#include "paddle/fluid/platform/device/mlu/mlu_info.h"
#endif

43 44 45
#ifdef WITH_WIN_DUMP_DBG
#include <stdio.h>
#include <time.h>
46 47 48
#ifndef NOMINMAX
#define NOMINMAX  // msvc max/min macro conflict with std::min/max
#endif
49
#include <windows.h>
50

51 52 53
#include "DbgHelp.h"
#endif

J
jianghaicheng 已提交
54 55 56 57
#ifdef PADDLE_WITH_IPU
#include "paddle/fluid/platform/device/ipu/ipu_info.h"
#endif

58
#include "paddle/phi/core/custom_kernel.h"
59

60
DECLARE_int32(paddle_num_threads);
Z
Zeng Jinle 已提交
61
PADDLE_DEFINE_EXPORTED_int32(
62 63
    multiple_of_cupti_buffer_size,
    1,
Z
Zeng Jinle 已提交
64 65
    "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
66

67 68 69 70
namespace paddle {
namespace platform {

void ParseCommandLineFlags(int argc, char **argv, bool remove) {
71
  ::GFLAGS_NAMESPACE::ParseCommandLineFlags(&argc, &argv, remove);
72 73 74 75 76
}

}  // namespace platform
}  // namespace paddle

D
dzhwinter 已提交
77 78 79
namespace paddle {
namespace framework {

80 81 82 83
#ifdef _WIN32
#define strdup _strdup
#endif

D
dzhwinter 已提交
84
std::once_flag gflags_init_flag;
85
std::once_flag glog_init_flag;
86
std::once_flag npu_init_flag;
D
dzhwinter 已提交
87

88
bool InitGflags(std::vector<std::string> args) {
89
  bool successed = false;
D
dzhwinter 已提交
90
  std::call_once(gflags_init_flag, [&]() {
C
chengduo 已提交
91
    FLAGS_logtostderr = true;
L
Leo Chen 已提交
92 93 94 95 96
    // 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.
97 98
    args.insert(args.begin(), "dummy");
    std::vector<char *> argv;
D
dzhwinter 已提交
99
    std::string line;
100 101 102 103
    int argc = args.size();
    for (auto &arg : args) {
      argv.push_back(const_cast<char *>(arg.data()));
      line += arg;
D
dzhwinter 已提交
104 105
      line += ' ';
    }
L
Leo Chen 已提交
106 107
    VLOG(1) << "Before Parse: argc is " << argc
            << ", Init commandline: " << line;
108 109

    char **arr = argv.data();
110
    ::GFLAGS_NAMESPACE::ParseCommandLineFlags(&argc, &arr, true);
111
    successed = true;
112 113

    VLOG(1) << "After Parse: argc is " << argc;
D
dzhwinter 已提交
114
  });
115
  return successed;
D
dzhwinter 已提交
116 117
}

118
#ifdef PADDLE_WITH_CUDA
119 120 121 122
void InitCupti() {
#ifdef PADDLE_WITH_CUPTI
  if (FLAGS_multiple_of_cupti_buffer_size == 1) return;
  size_t attrValue = 0, attrValueSize = sizeof(size_t);
123 124 125 126 127 128 129 130 131 132 133 134 135 136
#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.")); \
137 138 139 140 141 142 143 144 145
  }
  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
}
146
#endif
147

148 149 150
#ifdef PADDLE_WITH_CUSTOM_DEVICE
void LoadCustomDevice(const std::string &library_dir) {
  LOG(INFO) << "Try loading custom device libs from: [" << library_dir << "]";
151
  std::vector<std::string> libs = phi::ListAllLibraries(library_dir);
152 153 154 155 156 157 158
  for (const auto &lib_path : libs) {
    auto dso_handle = dlopen(lib_path.c_str(), RTLD_NOW);
    PADDLE_ENFORCE_NOT_NULL(
        dso_handle,
        platform::errors::InvalidArgument(
            "Fail to open library: %s with error: %s", lib_path, dlerror()));

159
    phi::LoadCustomRuntimeLib(lib_path, dso_handle);
160
  }
161
  phi::CustomKernelMap::Instance().RegisterCustomKernels();
162 163 164 165 166
  LOG(INFO) << "Finished in LoadCustomDevice with libs_path: [" << library_dir
            << "]";
}
#endif

167
void InitDevices() {
L
liutiexing 已提交
168 169
  // set name at the entry point of Paddle
  platform::SetCurrentThreadName("MainThread");
170 171 172
// CUPTI attribute should be set before any CUDA context is created (see CUPTI
// documentation about CUpti_ActivityAttribute).
#ifdef PADDLE_WITH_CUDA
173
  InitCupti();
174
#endif
175
  /*Init all available devices by default */
176
  std::vector<int> devices;
177
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
D
dzhwinter 已提交
178
  try {
179 180
    // use user specified GPUs in single-node multi-process mode.
    devices = platform::GetSelectedDevices();
D
dzhwinter 已提交
181 182
  } catch (const std::exception &exp) {
    LOG(WARNING) << "Compiled with WITH_GPU, but no GPU found in runtime.";
183
  }
184 185 186 187 188 189 190 191
#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.";
  }
192 193 194 195 196 197 198 199 200 201 202
#endif
#ifdef PADDLE_WITH_ASCEND_CL
  // NOTE(zhiqiu): use singleton to explicitly init and finalize ACL
  platform::AclInstance::Instance();  // NOLINT
  try {
    // use user specified XPUs in single-node multi-process mode.
    devices = platform::GetSelectedNPUDevices();
  } catch (const std::exception &exp) {
    LOG(WARNING)
        << "Compiled with PADDLE_WITH_ASCEND_CL, but no NPU found in runtime.";
  }
J
jianghaicheng 已提交
203 204 205 206 207 208 209 210 211
#endif
#ifdef PADDLE_WITH_IPU
  try {
    // use user specified IPUs.
    devices = platform::GetSelectedIPUDevices();
  } catch (const std::exception &exp) {
    LOG(WARNING)
        << "Compiled with PADDLE_WITH_IPU, but no IPU found in runtime.";
  }
F
fwenguang 已提交
212 213 214 215 216 217 218 219
#endif
#ifdef PADDLE_WITH_MLU
  try {
    // use user specified MLUs in single-node multi-process mode.
    devices = platform::GetMLUSelectedDevices();
  } catch (const std::exception &exp) {
    LOG(WARNING) << "Compiled with WITH_MLU, but no MLU found in runtime.";
  }
D
dzhwinter 已提交
220
#endif
221
  InitDevices(devices);
D
dzhwinter 已提交
222 223
}

224
void InitDevices(const std::vector<int> devices) {
225 226 227
  std::vector<platform::Place> places;

  for (size_t i = 0; i < devices.size(); ++i) {
228 229 230
    // In multi process multi gpu mode, we may have gpuid = 7
    // but count = 1.
    if (devices[i] < 0) {
231 232 233
      LOG(WARNING) << "Invalid devices id.";
      continue;
    }
234

235
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
236
    places.emplace_back(platform::CUDAPlace(devices[i]));
237 238 239
#endif
#ifdef PADDLE_WITH_XPU
    places.emplace_back(platform::XPUPlace(devices[i]));
240
#endif
J
jianghaicheng 已提交
241 242 243
#ifdef PADDLE_WITH_IPU
    places.emplace_back(platform::IPUPlace(devices[i]));
#endif
244 245
#ifdef PADDLE_WITH_ASCEND_CL
    places.emplace_back(platform::NPUPlace(devices[i]));
F
fwenguang 已提交
246 247 248
#endif
#ifdef PADDLE_WITH_MLU
    places.emplace_back(platform::MLUPlace(devices[i]));
249
#endif
250 251
  }
  places.emplace_back(platform::CPUPlace());
252
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
253 254
  places.emplace_back(platform::CUDAPinnedPlace());
#endif
255
#ifdef PADDLE_WITH_CUSTOM_DEVICE
256 257 258 259 260 261 262
  const char *custom_kernel_root_p = std::getenv("CUSTOM_DEVICE_ROOT");
  if (!custom_kernel_root_p) {
    VLOG(3) << "Env [CUSTOM_DEVICE_ROOT] is not set.";
  } else {
    std::string custom_kernel_root(custom_kernel_root_p);
    if (!custom_kernel_root.empty()) {
      LOG(INFO) << "ENV [CUSTOM_DEVICE_ROOT]=" << custom_kernel_root;
263 264
      LoadCustomDevice(custom_kernel_root);

265
      auto device_types = phi::DeviceManager::GetAllCustomDeviceTypes();
266
      for (auto &dev_type : device_types) {
267
        auto device_list = phi::DeviceManager::GetSelectedDeviceList(dev_type);
268
        LOG(INFO) << "CustomDevice: " << dev_type
269 270 271
                  << ", visible devices count: " << device_list.size();
        for (auto &dev_id : device_list) {
          places.push_back(platform::CustomPlace(dev_type, dev_id));
272 273
        }
      }
274 275 276 277
    } else {
      VLOG(3) << "ENV [CUSTOM_DEVICE_ROOT] is empty.";
    }
  }
278
#endif
279
  platform::DeviceContextPool::Init(places);
Q
qingqing01 已提交
280

281
#ifndef PADDLE_WITH_MKLDNN
T
tensor-tang 已提交
282
  platform::SetNumThreads(FLAGS_paddle_num_threads);
283
#endif
T
tensor-tang 已提交
284

T
tensor-tang 已提交
285
#if !defined(_WIN32) && !defined(__APPLE__) && !defined(__OSX__)
T
tensor-tang 已提交
286
  if (platform::MayIUse(platform::avx)) {
T
tensor-tang 已提交
287 288 289 290
#ifndef __AVX__
    LOG(WARNING) << "AVX is available, Please re-compile on local machine";
#endif
  }
291 292

// Throw some informations when CPU instructions mismatch.
293 294 295 296 297 298
#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."))
299 300

#ifdef __AVX512F__
T
tensor-tang 已提交
301 302
  if (!platform::MayIUse(platform::avx512f)) {
    if (platform::MayIUse(platform::avx2)) {
303
      AVX_GUIDE(AVX512, AVX2);
T
tensor-tang 已提交
304
    } else if (platform::MayIUse(platform::avx)) {
305 306 307 308 309
      AVX_GUIDE(AVX512, AVX);
    } else {
      AVX_GUIDE(AVX512, NonAVX);
    }
  }
T
tensor-tang 已提交
310
#endif
311 312

#ifdef __AVX2__
T
tensor-tang 已提交
313 314
  if (!platform::MayIUse(platform::avx2)) {
    if (platform::MayIUse(platform::avx)) {
315 316 317 318
      AVX_GUIDE(AVX2, AVX);
    } else {
      AVX_GUIDE(AVX2, NonAVX);
    }
T
tensor-tang 已提交
319 320
  }
#endif
321 322

#ifdef __AVX__
T
tensor-tang 已提交
323
  if (!platform::MayIUse(platform::avx)) {
324
    AVX_GUIDE(AVX, NonAVX);
T
tensor-tang 已提交
325
  }
326 327
#endif
#undef AVX_GUIDE
T
tensor-tang 已提交
328 329

#endif
330 331
}

C
chengduo 已提交
332
#ifndef _WIN32
333 334 335
// Description Quoted from
// https://pubs.opengroup.org/onlinepubs/9699919799/basedefs/signal.h.html
const struct {
336
  int signal_number;
337 338 339
  const char *name;
  const char *error_string;
} SignalErrorStrings[] = {
340 341 342 343 344 345
    {SIGSEGV, "SIGSEGV", "Segmentation fault"},
    {SIGILL, "SIGILL", "Illegal instruction"},
    {SIGFPE, "SIGFPE", "Erroneous arithmetic operation"},
    {SIGABRT, "SIGABRT", "Process abort signal"},
    {SIGBUS, "SIGBUS", "Access to an undefined portion of a memory object"},
    {SIGTERM, "SIGTERM", "Termination signal"},
346 347 348 349 350 351 352 353 354 355
};

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;
356 357
       i < (sizeof(SignalErrorStrings) / sizeof(*(SignalErrorStrings)));
       ++i) {
358 359 360 361 362 363 364 365
    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.
366
void SignalHandle(const char *data, int size) {
C
chengduo 已提交
367
  try {
368 369
    // NOTE1: The glog FailureSignalHandler dumped messages
    //   are deal with line by line
370
    auto signal_msg_dunmer_ptr = SignalMessageDumper::Instance().Get();
371 372 373
    // NOTE2: we only deal with the time info ane signal info,
    //   the stack trace will generated by paddle self
    if (StartsWith(data, "*** Aborted at")) {
374
      *signal_msg_dunmer_ptr << "\n  [TimeInfo: " << std::string(data, size - 1)
375
                             << "]\n";
376 377 378 379 380
    } 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(), "");
381
      *signal_msg_dunmer_ptr << "  [SignalInfo: " << signal_info << "]\n";
382 383 384

      // NOTE3: Final singal error message print.
      // Here does not throw an exception,
385
      // otherwise it will casue "terminate called recursively"
386
      std::ostringstream sout;
387 388 389 390 391 392 393 394 395 396 397
      sout << "\n\n--------------------------------------\n";
      sout << "C++ Traceback (most recent call last):";
      sout << "\n--------------------------------------\n";
      auto traceback = platform::GetCurrentTraceBackString(/*for_signal=*/true);
      if (traceback.empty()) {
        sout
            << "No stack trace in paddle, may be caused by external reasons.\n";
      } else {
        sout << traceback;
      }

398 399 400 401 402 403 404
      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;
405
    }
C
chengduo 已提交
406
  } catch (...) {
407 408 409
    // 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
410 411
  }
}
412 413 414 415 416
#endif  // _WIN32

void DisableSignalHandler() {
#ifndef _WIN32
  for (size_t i = 0;
417 418
       i < (sizeof(SignalErrorStrings) / sizeof(*(SignalErrorStrings)));
       ++i) {
419 420 421 422 423 424 425
    int signal_number = SignalErrorStrings[i].signal_number;
    struct sigaction sig_action;
    memset(&sig_action, 0, sizeof(sig_action));
    sigemptyset(&sig_action.sa_mask);
    sig_action.sa_handler = SIG_DFL;
    sigaction(signal_number, &sig_action, NULL);
  }
C
chengduo 已提交
426
#endif
427
}
C
chengduo 已提交
428

429 430
#ifdef WITH_WIN_DUMP_DBG
typedef BOOL(WINAPI *MINIDUMP_WRITE_DUMP)(
431 432 433
    IN HANDLE hProcess,
    IN DWORD ProcessId,
    IN HANDLE hFile,
434 435 436 437 438 439
    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) {
440 441 442 443 444 445 446
  HANDLE hDumpFile = CreateFile(lpstrDumpFilePathName,
                                GENERIC_WRITE,
                                0,
                                NULL,
                                CREATE_ALWAYS,
                                FILE_ATTRIBUTE_NORMAL,
                                NULL);
447 448 449 450 451 452 453 454
  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");
455 456 457 458 459 460 461
  MiniDumpWriteDump_(GetCurrentProcess(),
                     GetCurrentProcessId(),
                     hDumpFile,
                     MiniDumpWithPrivateReadWriteMemory,
                     &dumpInfo,
                     NULL,
                     NULL);
462 463 464 465 466 467 468 469 470
  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];
471 472 473 474 475 476 477 478
  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);
479 480 481 482 483 484

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

Y
Yang Yu 已提交
485
void InitGLOG(const std::string &prog_name) {
486
  std::call_once(glog_init_flag, [&]() {
487 488 489 490 491 492
// 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
493
    google::InitGoogleLogging(strdup(prog_name.c_str()));
C
chengduo 已提交
494
#ifndef _WIN32
495 496
    google::InstallFailureSignalHandler();
    google::InstallFailureWriter(&SignalHandle);
C
chengduo 已提交
497
#endif
498
  });
Y
Yang Yu 已提交
499 500
}

D
dzhwinter 已提交
501 502
}  // namespace framework
}  // namespace paddle