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ge_auth_file_saver_unittest.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 <gtest/gtest.h>
  17. #include "common/auth/file_saver.h"
  18. namespace ge {
  19. class UTEST_file_saver : public testing::Test {
  20. protected:
  21. void SetUp() {}
  22. void TearDown() {}
  23. };
  24. TEST_F(UTEST_file_saver, save_model_data_to_buff_success) {
  25. ModelFileHeader file_header;
  26. std::vector<char> data;
  27. data.resize(sizeof(ModelPartitionTable) + sizeof(ModelPartitionMemInfo), 0);
  28. ModelPartitionTable *partition_table = reinterpret_cast<ModelPartitionTable*>(data.data());
  29. partition_table->num = 1;
  30. partition_table->partition[0] = { MODEL_DEF, 0, 12 };
  31. std::vector<ModelPartitionTable *> partition_tables;
  32. partition_tables.push_back(partition_table);
  33. auto buff = reinterpret_cast<uint8_t *>(malloc(12));
  34. struct ge::ModelPartition model_partition;
  35. model_partition.type = MODEL_DEF;
  36. model_partition.data = buff;
  37. model_partition.size = 12;
  38. std::vector<ModelPartition> model_partitions = { model_partition };
  39. std::vector<std::vector<ModelPartition>> all_partition_datas = { model_partitions };
  40. ge::ModelBufferData model;
  41. Status ret = FileSaver::SaveToBuffWithFileHeader(file_header, partition_tables, all_partition_datas, model);
  42. EXPECT_EQ(ret, ge::SUCCESS);
  43. free(buff);
  44. buff = nullptr;
  45. model_partition.data = nullptr;
  46. }
  47. } // 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