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cuda_driver.cc 9.1 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 "runtime/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. size_t CudaDriver::AllocHostPinnedMem(size_t size, void **addr) {
  51. if (size == 0) {
  52. MS_LOG(EXCEPTION) << "The memory allocate size is 0";
  53. }
  54. auto ret = cudaHostAlloc(addr, size, cudaHostAllocDefault);
  55. if (ret != cudaSuccess) {
  56. MS_LOG(ERROR) << "cudaHostAlloc failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  57. return 0;
  58. }
  59. return size;
  60. }
  61. void CudaDriver::FreeHostPinnedMem(void *addr) {
  62. if (addr) {
  63. auto ret = cudaFreeHost(addr);
  64. if (ret != cudaSuccess) {
  65. MS_LOG(EXCEPTION) << "cudaFreeHost failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  66. }
  67. }
  68. }
  69. bool CudaDriver::CopyHostMemToDevice(const DeviceMemPtr &dst, const void *src, size_t size) {
  70. auto ret = cudaMemcpy(dst, src, size, cudaMemcpyHostToDevice);
  71. if (ret != cudaSuccess) {
  72. MS_LOG(ERROR) << "cudaMemcpy failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  73. return false;
  74. }
  75. return true;
  76. }
  77. bool CudaDriver::CopyDeviceMemToHost(const HostMemPtr &dst, const DeviceMemPtr &src, size_t size) {
  78. auto ret = cudaMemcpy(dst, src, size, cudaMemcpyDeviceToHost);
  79. if (ret != cudaSuccess) {
  80. MS_LOG(ERROR) << "cudaMemcpy failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  81. return false;
  82. }
  83. return true;
  84. }
  85. bool CudaDriver::CopyHostMemToDeviceAsync(const DeviceMemPtr &dst, const void *src, size_t size,
  86. CudaDeviceStream stream) {
  87. auto ret = cudaMemcpyAsync(dst, src, size, cudaMemcpyHostToDevice, (cudaStream_t)stream);
  88. if (ret != cudaSuccess) {
  89. MS_LOG(ERROR) << "cudaMemcpyAsync failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  90. return false;
  91. }
  92. return true;
  93. }
  94. bool CudaDriver::CopyDeviceMemToHostAsync(const HostMemPtr &dst, const DeviceMemPtr &src, size_t size,
  95. CudaDeviceStream stream) {
  96. auto ret = cudaMemcpyAsync(dst, src, size, cudaMemcpyDeviceToHost, (cudaStream_t)stream);
  97. if (ret != cudaSuccess) {
  98. MS_LOG(ERROR) << "cudaMemcpyAsync failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  99. return false;
  100. }
  101. return true;
  102. }
  103. bool CudaDriver::CopyDeviceMemToDeviceAsync(const DeviceMemPtr &dst, const DeviceMemPtr &src, size_t size,
  104. CudaDeviceStream stream) {
  105. auto ret = cudaMemcpyAsync(dst, src, size, cudaMemcpyDeviceToDevice, (cudaStream_t)stream);
  106. if (ret != cudaSuccess) {
  107. MS_LOG(ERROR) << "cudaMemcpyAsync failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  108. return false;
  109. }
  110. return true;
  111. }
  112. size_t CudaDriver::total_mem_size() {
  113. size_t free;
  114. size_t total;
  115. auto ret = cudaMemGetInfo(&free, &total);
  116. if (ret != cudaSuccess) {
  117. MS_LOG(ERROR) << "cudaMemGetInfo failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  118. return 0;
  119. }
  120. return total;
  121. }
  122. size_t CudaDriver::free_mem_size() {
  123. size_t free;
  124. size_t total;
  125. auto ret = cudaMemGetInfo(&free, &total);
  126. if (ret != cudaSuccess) {
  127. MS_LOG(ERROR) << "cudaMemGetInfo failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  128. return 0;
  129. }
  130. return free;
  131. }
  132. bool CudaDriver::CreateStream(CudaDeviceStream *stream) {
  133. auto ret = cudaStreamCreateWithFlags(reinterpret_cast<CUstream_st **>(stream), cudaStreamNonBlocking);
  134. if (ret != cudaSuccess) {
  135. MS_LOG(ERROR) << "cudaStreamCreate failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  136. return false;
  137. }
  138. return true;
  139. }
  140. bool CudaDriver::DestroyStream(const CudaDeviceStream &stream) {
  141. auto ret = cudaStreamDestroy((cudaStream_t)stream);
  142. if (ret != cudaSuccess) {
  143. MS_LOG(ERROR) << "cudaStreamDestroy failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  144. return false;
  145. }
  146. return true;
  147. }
  148. bool CudaDriver::SyncStream(const CudaDeviceStream &stream) {
  149. auto ret = cudaStreamSynchronize((cudaStream_t)stream);
  150. if (ret != cudaSuccess) {
  151. MS_LOG(ERROR) << "cudaStreamSynchronize failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  152. return false;
  153. }
  154. return true;
  155. }
  156. bool CudaDriver::CreateEvent(CudaDeviceEvent *event, unsigned int flag) {
  157. auto ret = cudaEventCreateWithFlags(reinterpret_cast<cudaEvent_t *>(event), flag);
  158. if (ret != cudaSuccess) {
  159. MS_LOG(ERROR) << "cudaEventCreateWithFlags failed, ret[" << static_cast<int>(ret) << "], "
  160. << cudaGetErrorString(ret);
  161. return false;
  162. }
  163. return true;
  164. }
  165. bool CudaDriver::DestroyEvent(const CudaDeviceEvent &event) {
  166. auto ret = cudaEventDestroy((cudaEvent_t)event);
  167. if (ret != cudaSuccess) {
  168. MS_LOG(ERROR) << "cudaEventDestroy failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  169. return false;
  170. }
  171. return true;
  172. }
  173. bool CudaDriver::RecordEvent(CudaDeviceEvent event, CudaDeviceStream stream) {
  174. auto ret = cudaEventRecord((cudaEvent_t)event, (cudaStream_t)stream);
  175. if (ret != cudaSuccess) {
  176. MS_LOG(ERROR) << "cudaEventRecord failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  177. return false;
  178. }
  179. return true;
  180. }
  181. bool CudaDriver::SyncEvent(const CudaDeviceEvent &event) {
  182. auto ret = cudaEventSynchronize((cudaEvent_t)event);
  183. if (ret != cudaSuccess) {
  184. MS_LOG(ERROR) << "cudaEventSynchronize failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  185. return false;
  186. }
  187. return true;
  188. }
  189. bool CudaDriver::QueryEvent(const CudaDeviceEvent &event) {
  190. auto ret = cudaEventQuery((cudaEvent_t)event);
  191. if (ret == cudaSuccess) {
  192. return true;
  193. } else if (ret == cudaErrorNotReady) {
  194. return false;
  195. } else {
  196. MS_LOG(ERROR) << "cudaEventQuery failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  197. return false;
  198. }
  199. }
  200. bool CudaDriver::ElapsedTime(float *cost_time, const CudaDeviceEvent &start, const CudaDeviceEvent &end) {
  201. auto ret = cudaEventElapsedTime(cost_time, (cudaEvent_t)start, (cudaEvent_t)end);
  202. if (ret == cudaSuccess) {
  203. return true;
  204. } else {
  205. MS_LOG(ERROR) << "cudaEventElapsedTime failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  206. return false;
  207. }
  208. }
  209. int CudaDriver::device_count() {
  210. int dev_count;
  211. auto ret = cudaGetDeviceCount(&dev_count);
  212. if (ret != cudaSuccess) {
  213. MS_LOG(ERROR) << "cudaGetDeviceCount failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret);
  214. }
  215. return dev_count;
  216. }
  217. bool CudaDriver::SetDevice(int index) {
  218. auto ret = cudaSetDevice(index);
  219. if (ret != cudaSuccess) {
  220. MS_LOG(ERROR)
  221. << "SetDevice for id:" << index << " failed, ret[" << static_cast<int>(ret) << "], " << cudaGetErrorString(ret)
  222. << ". Please make sure that the 'device_id' set in context is in the range:[0, total number of GPU). "
  223. "If the environment variable 'CUDA_VISIBLE_DEVICES' is set, the total number of GPU will be the number set "
  224. "in the environment variable 'CUDA_VISIBLE_DEVICES'. For example, if export CUDA_VISIBLE_DEVICES=4,5,6, the "
  225. "'device_id' can be 0,1,2 at the moment, 'device_id' starts from 0, and 'device_id'=0 means using GPU of "
  226. "number 4.";
  227. return false;
  228. }
  229. return true;
  230. }
  231. } // namespace gpu
  232. } // namespace device
  233. } // namespace mindspore