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cuda_driver.cc 4.6 kB

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  1. /**
  2. * Copyright 2019 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #include "device/gpu/cuda_driver.h"
  17. #include <iostream>
  18. #include "utils/log_adapter.h"
  19. #include "utils/convert_utils.h"
  20. namespace mindspore {
  21. namespace device {
  22. namespace gpu {
  23. size_t CudaDriver::AllocDeviceMem(size_t size, DeviceMemPtr *addr) {
  24. size_t retreat_count = 0;
  25. auto ret = cudaMalloc(reinterpret_cast<void **>(addr), size);
  26. // If free memory is not enough, then retry with mem_malloc_retry_rate_.
  27. while (ret == cudaErrorMemoryAllocation) {
  28. size = FloatToSize(size * mem_malloc_retry_rate_);
  29. size = (size / mem_malloc_align_size_) * mem_malloc_align_size_;
  30. ret = cudaMalloc(reinterpret_cast<void **>(addr), size);
  31. retreat_count++;
  32. if (retreat_count > mem_malloc_retry_conut_max_) {
  33. break;
  34. }
  35. }
  36. if (ret != cudaSuccess) {
  37. MS_LOG(ERROR) << "cudaMalloc failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  38. return 0;
  39. }
  40. return size;
  41. }
  42. bool CudaDriver::FreeDeviceMem(const DeviceMemPtr &addr) {
  43. auto ret = cudaFree(addr);
  44. if (ret != cudaSuccess) {
  45. MS_LOG(ERROR) << "cudaFree failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  46. return false;
  47. }
  48. return true;
  49. }
  50. bool CudaDriver::CopyHostMemToDevice(const DeviceMemPtr &dst, const void *src, size_t size) {
  51. auto ret = cudaMemcpy(dst, src, size, cudaMemcpyHostToDevice);
  52. if (ret != cudaSuccess) {
  53. MS_LOG(ERROR) << "cudaMemcpy failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  54. return false;
  55. }
  56. return true;
  57. }
  58. bool CudaDriver::CopyDeviceMemToHost(const HostMemPtr &dst, const DeviceMemPtr &src, size_t size) {
  59. auto ret = cudaMemcpy(dst, src, size, cudaMemcpyDeviceToHost);
  60. if (ret != cudaSuccess) {
  61. MS_LOG(ERROR) << "cudaMemcpy failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  62. return false;
  63. }
  64. return true;
  65. }
  66. size_t CudaDriver::total_mem_size() {
  67. size_t free;
  68. size_t total;
  69. auto ret = cudaMemGetInfo(&free, &total);
  70. if (ret != cudaSuccess) {
  71. MS_LOG(ERROR) << "cudaMemGetInfo failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  72. return 0;
  73. }
  74. return total;
  75. }
  76. size_t CudaDriver::free_mem_size() {
  77. size_t free;
  78. size_t total;
  79. auto ret = cudaMemGetInfo(&free, &total);
  80. if (ret != cudaSuccess) {
  81. MS_LOG(ERROR) << "cudaMemGetInfo failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  82. return 0;
  83. }
  84. return free;
  85. }
  86. bool CudaDriver::CreateStream(DeviceStream *stream) {
  87. auto ret = cudaStreamCreateWithFlags(reinterpret_cast<CUstream_st **>(stream), cudaStreamNonBlocking);
  88. if (ret != cudaSuccess) {
  89. MS_LOG(ERROR) << "cudaStreamCreate failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  90. return false;
  91. }
  92. return true;
  93. }
  94. bool CudaDriver::DestroyStream(const DeviceStream &stream) {
  95. auto ret = cudaStreamDestroy((cudaStream_t)stream);
  96. if (ret != cudaSuccess) {
  97. MS_LOG(ERROR) << "cudaStreamDestroy failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  98. return false;
  99. }
  100. return true;
  101. }
  102. bool CudaDriver::SyncStream(const DeviceStream &stream) {
  103. auto ret = cudaStreamSynchronize((cudaStream_t)stream);
  104. if (ret != cudaSuccess) {
  105. MS_LOG(ERROR) << "cudaStreamSynchronize failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  106. return false;
  107. }
  108. return true;
  109. }
  110. int CudaDriver::device_count() {
  111. int dev_count;
  112. auto ret = cudaGetDeviceCount(&dev_count);
  113. if (ret != cudaSuccess) {
  114. MS_LOG(ERROR) << "cudaGetDeviceCount failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  115. }
  116. return dev_count;
  117. }
  118. bool CudaDriver::set_current_device(int index) {
  119. auto ret = cudaSetDevice(index);
  120. if (ret != cudaSuccess) {
  121. MS_LOG(ERROR) << "cudaSetDevice failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  122. return false;
  123. }
  124. return true;
  125. }
  126. } // namespace gpu
  127. } // namespace device
  128. } // namespace mindspore