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task_compile_engine.cc 1.9 kB

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  1. /**
  2. * Copyright 2019-2020 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 "hybrid/executor/worker/task_compile_engine.h"
  17. #include "init/gelib.h"
  18. #include "hybrid/node_executor/node_executor.h"
  19. namespace ge {
  20. namespace hybrid {
  21. Status TaskCompileEngine::Compile(NodeState &node_state, GraphExecutionContext *context) {
  22. GE_CHECK_NOTNULL(context);
  23. rtContext_t rt_gen_context = nullptr;
  24. GE_CHK_RT_RET(rtCtxCreate(&rt_gen_context, RT_CTX_GEN_MODE, 0));
  25. std::function<void()> callback = [&]() {
  26. (void) rtCtxDestroy(rt_gen_context);
  27. GE_CHK_RT(rtCtxSetCurrent(context->rt_context));
  28. };
  29. GE_MAKE_GUARD(rt_gen_context, callback);
  30. const auto &node_item = *node_state.GetNodeItem();
  31. RECORD_COMPILE_EVENT(context, node_item.NodeName().c_str(), "[Compile] Start");
  32. if (context->ge_context != nullptr) {
  33. GetThreadLocalContext() = *context->ge_context;
  34. }
  35. shared_ptr<NodeTask> kernel_task;
  36. auto ret = node_item.node_executor->CompileTask(*context->model, node_item.node, kernel_task);
  37. RECORD_COMPILE_EVENT(context, node_state.GetName().c_str(), "[Compile] End");
  38. GE_CHK_STATUS_RET(ret, "[Compile][Task] failed for node: %s.", node_item.NodeName().c_str());
  39. node_state.SetKernelTask(kernel_task);
  40. GELOGI("Compiling node %s successfully", node_state.GetName().c_str());
  41. return SUCCESS;
  42. }
  43. } // namespace hybrid
  44. } // namespace ge

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示