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util_unittest.cc 1.7 kB

4 years ago
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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/util.h"
  18. namespace ge {
  19. namespace formats {
  20. class UtestUtilTransfer : public testing::Test {
  21. protected:
  22. void SetUp() {}
  23. void TearDown() {}
  24. };
  25. INT32 mmAccess2(const CHAR *pathName, INT32 mode)
  26. {
  27. return -1;
  28. }
  29. TEST_F(UtestUtilTransfer, CheckOutputPathValid) {
  30. EXPECT_EQ(CheckOutputPathValid("", ""), false);
  31. EXPECT_EQ(CheckOutputPathValid("", "model"), false);
  32. char max_file_path[14097] = {0};
  33. memset(max_file_path, 1, 14097);
  34. EXPECT_EQ(CheckOutputPathValid(max_file_path, "model"), false);
  35. EXPECT_EQ(CheckOutputPathValid("$#%", ""), false);
  36. // system("touch test_util");
  37. // system("chmod 555 test_util");
  38. // EXPECT_EQ(CheckOutputPathValid("./test_util", ""), false);
  39. // system("rm -r test_util");
  40. }
  41. TEST_F(UtestUtilTransfer, CheckInputPathValid) {
  42. EXPECT_EQ(CheckInputPathValid("", ""), false);
  43. EXPECT_EQ(CheckInputPathValid("", "model"), false);
  44. EXPECT_EQ(CheckInputPathValid("$#%", ""), false);
  45. EXPECT_EQ(CheckInputPathValid("./test_util", ""), false);
  46. }
  47. }
  48. }

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