npu_info.cc 16.4 KB
Newer Older
1
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
2 3 4 5 6 7 8 9 10 11 12 13 14

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. */

15
#include "paddle/fluid/platform/device/npu/npu_info.h"
16

17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
#include <algorithm>
#include <cstdlib>
#include <memory>

#include "gflags/gflags.h"
#include "paddle/fluid/platform/lock_guard_ptr.h"
#include "paddle/fluid/platform/macros.h"
#include "paddle/fluid/platform/monitor.h"
#include "paddle/fluid/string/split.h"

DECLARE_double(fraction_of_gpu_memory_to_use);
DECLARE_uint64(initial_gpu_memory_in_mb);
DECLARE_uint64(reallocate_gpu_memory_in_mb);
DECLARE_bool(enable_cublas_tensor_op_math);
DECLARE_uint64(gpu_memory_limit_mb);
DECLARE_string(selected_npus);
33
DECLARE_string(npu_config_path);
34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60

constexpr static float fraction_reserve_gpu_memory = 0.05f;

USE_NPU_MEM_STAT;

namespace paddle {
namespace platform {

static int GetNPUDeviceCountImpl() {
  uint32_t count;
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtGetDeviceCount(&count));
  return count;
}

int GetNPUDeviceCount() {
  static auto dev_cnt = GetNPUDeviceCountImpl();
  return dev_cnt;
}

int NPUCanAccessPeer(int src, int dst) {
  int can = 0;
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtDeviceCanAccessPeer(&can, src, dst));
  return can;
}

// For example, "1.0.1"
std::string GetNPURuntimeVersion(int id) {
61 62
  PADDLE_ENFORCE_LT(id,
                    GetNPUDeviceCount(),
63 64 65
                    platform::errors::InvalidArgument(
                        "Device id must be less than NPU count, "
                        "but received id is: %d. NPU count is: %d.",
66 67
                        id,
                        GetNPUDeviceCount()));
68 69 70 71 72 73 74 75 76 77 78
  int major = 0, minor = 0, patch = 0;
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtGetVersion(&major, &minor, &patch));
  return string::Sprintf("%d.%d.%d", major, minor, patch);
}

int GetCurrentNPUDeviceId() {
  int device_id;
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtGetDevice(&device_id));
  return device_id;
}

79 80 81 82
void GetCurrentNPUContext(aclrtContext *context) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtGetCurrentContext(context));
}

83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101
//! Get a list of device ids from environment variable or use all.
std::vector<int> GetSelectedNPUDevices() {
  // use user specified NPUs in single-node multi-process mode.
  std::vector<int> devices;
  if (!FLAGS_selected_npus.empty()) {
    auto devices_str = paddle::string::Split(FLAGS_selected_npus, ',');
    for (auto id : devices_str) {
      devices.push_back(atoi(id.c_str()));
    }
  } else {
    int count = GetNPUDeviceCount();
    for (int i = 0; i < count; ++i) {
      devices.push_back(i);
    }
  }
  return devices;
}

void SetNPUDeviceId(int id) {
102 103
  PADDLE_ENFORCE_LT(id,
                    GetNPUDeviceCount(),
104 105 106
                    platform::errors::InvalidArgument(
                        "Device id must be less than NPU count, "
                        "but received id is: %d. NPU count is: %d.",
107 108
                        id,
                        GetNPUDeviceCount()));
109 110 111 112 113 114
  // NOTE(zihqiu): It is recommended to call aclrtSetDevice and aclrtResetDevice
  // pairly.
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtSetDevice(id));
}

void ResetNPUDeviceId(int id) {
115 116
  PADDLE_ENFORCE_LT(id,
                    GetNPUDeviceCount(),
117 118 119
                    platform::errors::InvalidArgument(
                        "Device id must be less than NPU count, "
                        "but received id is: %d. NPU count is: %d.",
120 121
                        id,
                        GetNPUDeviceCount()));
122 123 124 125 126
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtResetDevice(id));
}

void NPUMemoryUsage(size_t *available, size_t *total) {
  size_t actual_available, actual_total;
127 128 129 130
  RecordedNPUMemGetInfo(available,
                        total,
                        &actual_available,
                        &actual_total,
131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157
                        platform::GetCurrentNPUDeviceId());
}

size_t NPUAvailableMemToAlloc() {
  size_t total = 0;
  size_t available = 0;
  NPUMemoryUsage(&available, &total);
  size_t reserving =
      static_cast<size_t>(fraction_reserve_gpu_memory * available);
  // If available size is less than minimum chunk size, no usable memory exists
  size_t available_to_alloc = available - reserving;
  size_t min_chunk_size = NPUMinChunkSize();
  if (available_to_alloc < min_chunk_size) {
    available_to_alloc = 0;
  }
  VLOG(10) << "NPU usage " << (available >> 20) << "M/" << (total >> 20)
           << "M, " << (available_to_alloc >> 20) << "M available to allocate";
  return available_to_alloc;
}

size_t NPUMaxAllocSize() {
  return std::max(NPUInitAllocSize(), NPUReallocSize());
}

static size_t NPUAllocSize(bool realloc) {
  size_t available_to_alloc = NPUAvailableMemToAlloc();
  PADDLE_ENFORCE_GT(
158 159
      available_to_alloc,
      0,
160 161 162 163 164 165
      platform::errors::ResourceExhausted("Not enough available NPU memory."));
  // If FLAGS_initial_gpu_memory_in_mb is 0, then initial memory will be
  // allocated by fraction
  size_t flag_mb = realloc ? FLAGS_reallocate_gpu_memory_in_mb
                           : FLAGS_initial_gpu_memory_in_mb;
  size_t alloc_bytes =
166 167 168
      (flag_mb > 0ul
           ? flag_mb << 20
           : available_to_alloc * FLAGS_fraction_of_gpu_memory_to_use);
169
  PADDLE_ENFORCE_GE(
170 171
      available_to_alloc,
      alloc_bytes,
172 173 174 175 176 177 178 179 180 181 182
      platform::errors::ResourceExhausted("Not enough available NPU memory."));
  VLOG(10) << "Alloc size is " << (alloc_bytes >> 20)
           << " MiB, is it Re-alloc: " << realloc;
  return alloc_bytes;
}

size_t NPUInitAllocSize() { return NPUAllocSize(/* realloc = */ false); }

size_t NPUReallocSize() { return NPUAllocSize(/* realloc = */ true); }

size_t NPUMinChunkSize() {
183 184 185 186 187
  // NOTE(zhiqiu): It seems the min chunk size should be 512 on NPU,
  // though no document specify that explicitly.
  // See https://gitee.com/zhiqiuchen/Ascend/tree/master/test_reduce_sum_d for
  // details.
  return 1 << 9;
188 189 190 191 192 193 194 195
}

size_t NPUMaxChunkSize() {
  size_t max_chunk_size = NPUMaxAllocSize();
  VLOG(10) << "Max chunk size " << (max_chunk_size >> 20) << "M";
  return max_chunk_size;
}

196 197 198 199 200
void NPUMemcpyAsync(void *dst,
                    const void *src,
                    size_t count,
                    enum aclrtMemcpyKind kind,
                    aclrtStream stream,
201 202 203 204 205 206 207 208
                    size_t dst_max_count) {
  dst_max_count = dst_max_count ? dst_max_count : count;
  VLOG(4) << dst << " " << dst_max_count << " " << src << " " << count << " "
          << kind << " " << stream;
  PADDLE_ENFORCE_NPU_SUCCESS(
      aclrtMemcpyAsync(dst, dst_max_count, src, count, kind, stream));
}

209 210 211 212 213
void NPUMemcpySync(void *dst,
                   const void *src,
                   size_t count,
                   enum aclrtMemcpyKind kind,
                   size_t dst_max_count) {
214 215
  // NOTE(zhiqiu):  The default max_count is count
  dst_max_count = dst_max_count ? dst_max_count : count;
216 217
  VLOG(4) << dst << " " << dst_max_count << " " << src << " " << count << " "
          << kind;
218 219 220 221
  if (dst == nullptr && dst_max_count == 0) {
    VLOG(4) << "Dot not call aclrtMemcpy for zero_size_allocation on NPU";
    return;
  }
222 223 224
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtMemcpy(dst, dst_max_count, src, count, kind));
}

225 226 227 228 229 230 231
void NPUMemcpyPeerASync(void *dst,
                        int dst_device,
                        const void *src,
                        size_t count,
                        enum aclrtMemcpyKind kind,
                        aclrtStream stream,
                        size_t dst_max_count) {
232 233 234 235 236
  dst_max_count = dst_max_count ? dst_max_count : count;
  PADDLE_ENFORCE_NPU_SUCCESS(
      aclrtMemcpyAsync(dst, dst_max_count, src, count, kind, stream));
}

237 238 239 240 241 242
void NPUMemcpyPeerSync(void *dst,
                       int dst_device,
                       const void *src,
                       size_t count,
                       enum aclrtMemcpyKind kind,
                       size_t dst_max_count) {
243 244 245 246 247
  // NOTE(zhiqiu):  The default max_count is count
  dst_max_count = dst_max_count ? dst_max_count : count;
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtMemcpy(dst, dst_max_count, src, count, kind));
}

248 249 250 251 252
void NPUMemsetSync(void *dst, int value, size_t count, size_t max_count) {
  max_count = max_count ? max_count : count;
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtMemset(dst, max_count, value, count));
}

253 254
void NPUMemsetAsync(
    void *dst, int value, size_t count, aclrtStream stream, size_t max_count) {
255 256 257 258 259
  max_count = max_count ? max_count : count;
  PADDLE_ENFORCE_NPU_SUCCESS(
      aclrtMemsetAsync(dst, max_count, value, count, stream));
}

260 261 262 263
void NPUStreamCreate(aclrtStream *stream) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtCreateStream(stream));
}

264 265 266 267
void NPUStreamSync(aclrtStream stream) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtSynchronizeStream(stream));
}

268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287
void NPUStreamDestroy(aclrtStream stream) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtDestroyStream(stream));
}

void NPUEventCreate(aclrtEvent *event) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtCreateEvent(event));
}

void NPUEventDestroy(aclrtEvent event) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtDestroyEvent(event));
}

void NPUEventRecord(aclrtEvent event, aclrtStream stream) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtRecordEvent(event, stream));
}

void NPUEventQuery(aclrtEvent event, aclrtEventStatus *status) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtQueryEvent(event, status));
}

288 289 290 291
void NPUEventSynchronize(aclrtEvent event) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtSynchronizeEvent(event));
}

292 293 294 295
void NPUStreamWaitEvent(aclrtStream stream, aclrtEvent event) {
  PADDLE_ENFORCE_NPU_SUCCESS(aclrtStreamWaitEvent(stream, event));
}

296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326
static void RaiseNonOutOfMemoryError(aclError *status) {
  if (*status == ACL_ERROR_BAD_ALLOC) {
    *status = ACL_ERROR_NONE;
  }
  PADDLE_ENFORCE_NPU_SUCCESS(*status);
}

class RecordedNPUMallocHelper {
 private:
  explicit RecordedNPUMallocHelper(int dev_id, uint64_t limit_size = 0)
      : dev_id_(dev_id), limit_size_(limit_size) {
    if (NeedRecord()) {
      mtx_.reset(new std::mutex());
    }
  }

  DISABLE_COPY_AND_ASSIGN(RecordedNPUMallocHelper);

 public:
  static RecordedNPUMallocHelper *Instance(int dev_id) {
    std::call_once(once_flag_, [] {
      int dev_cnt = GetNPUDeviceCount();
      instances_.reserve(dev_cnt);
      for (int i = 0; i < dev_cnt; ++i) {
        // NOTE(zhiqiu): share the flags with gpu, avoid more flags.
        instances_.emplace_back(
            new RecordedNPUMallocHelper(i, FLAGS_gpu_memory_limit_mb << 20));
      }
    });

    PADDLE_ENFORCE_GE(
327 328
        dev_id,
        0,
329 330 331
        platform::errors::OutOfRange(
            "Device id must be not less than 0, but got %d.", dev_id));
    PADDLE_ENFORCE_LT(
332 333
        dev_id,
        instances_.size(),
334
        platform::errors::OutOfRange("Device id %d exceeds npu card number %d.",
335 336
                                     dev_id,
                                     instances_.size()));
337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381
    return instances_[dev_id].get();
  }

  /**
   * Try to allocate `size` npu memory. Only ACL_ERROR_BAD_ALLOC
   * or ACL_ERROR_NONE would be returned.
   */
  aclError Malloc(void **ptr, size_t size) {
    LockGuardPtr<std::mutex> lock(mtx_);
    if (UNLIKELY(NeedRecord() && cur_size_ + size > limit_size_)) {
      return ACL_ERROR_BAD_ALLOC;
    }

    NPUDeviceGuard guard(dev_id_);
    auto result = aclrtMalloc(ptr, size, ACL_MEM_MALLOC_HUGE_FIRST);
    if (result == ACL_ERROR_NONE) {
      if (NeedRecord()) {
        cur_size_ += size;
      }
      STAT_INT_ADD("STAT_npu" + std::to_string(dev_id_) + "_mem_size", size);
      return result;
    } else {
      RaiseNonOutOfMemoryError(&result);
      // Non out of memory error would be raised inside
      // RaiseNonOutOfMemoryError. Therefore, we can
      // return cudaErrorMemoryAllocation directly here.
      return ACL_ERROR_BAD_ALLOC;
    }
  }

  /**
   * Free gpu memory. Usually, free is not allowed to raise error.
   * If it does raise error, the process should be crashed.
   */
  void Free(void *ptr, size_t size) {
    NPUDeviceGuard guard(dev_id_);
    auto result = aclrtFree(ptr);
    PADDLE_ENFORCE_NPU_SUCCESS(result);
    if (NeedRecord()) {
      std::lock_guard<std::mutex> guard(*mtx_);
      cur_size_ -= size;
    }
    STAT_INT_SUB("STAT_npu" + std::to_string(dev_id_) + "_mem_size", size);
  }

382 383 384
  bool GetMemInfo(size_t *avail,
                  size_t *total,
                  size_t *actual_avail,
385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438
                  size_t *actual_total) {
    {
      NPUDeviceGuard guard(dev_id_);
      auto result = aclrtGetMemInfo(ACL_HBM_MEM, actual_avail, actual_total);
      if (result != ACL_ERROR_NONE) {
        *actual_avail = 0;
      }
      RaiseNonOutOfMemoryError(&result);
    }

    if (NeedRecord()) {
      std::lock_guard<std::mutex> guard(*mtx_);
      *avail = std::min(*actual_avail, limit_size_ - cur_size_);
      *total = std::min(*actual_total, limit_size_);
      return *total < *actual_total;
    } else {
      *avail = *actual_avail;
      *total = *actual_total;
      return false;
    }
  }

  inline bool NeedRecord() const { return limit_size_ != 0; }

  uint64_t RecordedSize() const {
    LockGuardPtr<std::mutex> lock(mtx_);
    return NeedRecord() ? cur_size_ : 0;
  }

  uint64_t LimitSize() const { return limit_size_; }

 private:
  const int dev_id_;
  const uint64_t limit_size_;
  uint64_t cur_size_{0};

  mutable std::unique_ptr<std::mutex> mtx_;

  static std::once_flag once_flag_;
  static std::vector<std::unique_ptr<RecordedNPUMallocHelper>> instances_;
};

std::once_flag RecordedNPUMallocHelper::once_flag_;
std::vector<std::unique_ptr<RecordedNPUMallocHelper>>
    RecordedNPUMallocHelper::instances_;

aclError RecordedNPUMalloc(void **ptr, size_t size, int dev_id) {
  return RecordedNPUMallocHelper::Instance(dev_id)->Malloc(ptr, size);
}

void RecordedNPUFree(void *p, size_t size, int dev_id) {
  return RecordedNPUMallocHelper::Instance(dev_id)->Free(p, size);
}

439 440 441 442 443
bool RecordedNPUMemGetInfo(size_t *avail,
                           size_t *total,
                           size_t *actual_avail,
                           size_t *actual_total,
                           int dev_id) {
444 445 446 447 448 449 450 451 452 453 454 455
  return RecordedNPUMallocHelper::Instance(dev_id)->GetMemInfo(
      avail, total, actual_avail, actual_total);
}

uint64_t RecordedNPUMallocSize(int dev_id) {
  return RecordedNPUMallocHelper::Instance(dev_id)->RecordedSize();
}

bool IsNPUMallocRecorded(int dev_id) {
  return RecordedNPUMallocHelper::Instance(dev_id)->NeedRecord();
}

456 457 458 459 460 461
aclError NPUHostMalloc(void **ptr, size_t size) {
  return aclrtMallocHost(ptr, size);
}

aclError NPUHostFree(void *ptr) { return aclrtFreeHost(ptr); }

462 463 464 465
void NPULaunchCallback(aclrtCallback fn,
                       void *userData,
                       aclrtCallbackBlockType blockType,
                       aclrtStream stream) {
466 467 468 469
  PADDLE_ENFORCE_NPU_SUCCESS(
      aclrtLaunchCallback(fn, userData, blockType, stream));
}

470 471 472 473 474 475 476 477
AclInstance::~AclInstance() {}

AclInstance &AclInstance::Instance() {
  static AclInstance instance;
  return instance;
}

AclInstance::AclInstance() {
478 479 480 481 482 483 484 485
  if (!FLAGS_npu_config_path.empty()) {
    VLOG(4) << "Call aclInit(" << FLAGS_npu_config_path << ") ";
    PADDLE_ENFORCE_NPU_SUCCESS(aclInit(FLAGS_npu_config_path.c_str()));
  } else {
    VLOG(4) << "Call aclInit(nullptr) ";
    PADDLE_ENFORCE_NPU_SUCCESS(aclInit(nullptr));
  }

486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515
  VLOG(4) << "Call aclrtSetDevice ";
  // NOTE(zhiqiu): why set devices here?
  // Because ACL creates a default context which contains 2 streams
  // when calling aclrtSetDeviceId, so usually we do not need to
  // create contexts explicitly. And, for each device, aclrtSetDeviceId
  // need to call parily with aclrtResetDeviceId to destory the default
  // context. Here, we use this singleton and static instance to manage
  // the devices to make sure they will be resetted before program exit.
  devices_ = platform::GetSelectedNPUDevices();
  for (auto it = devices_.rbegin(); it != devices_.rend(); ++it) {
    SetNPUDeviceId(*it);
    VLOG(4) << "Call aclrtSetDevice " << *it;
  }
}

void AclInstance::Finalize() {
  // NOTE(zhiqiu): DO NOT perform finalize in destructor
  // to avoid problems caused by destructor order of static
  // object.
  for (size_t i = 0; i < devices_.size(); ++i) {
    auto status = aclrtResetDevice(devices_[i]);
    VLOG(4) << "Call aclrtResetDevice " << devices_[i]
            << " status = " << status;
  }
  auto status = aclFinalize();
  VLOG(4) << "Call aclFinalize, status = " << status;
}

}  // namespace platform
}  // namespace paddle