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test_exceptions.py 1.3 kB

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  1. # Copyright 2019 Huawei Technologies Co., Ltd
  2. #
  3. # Licensed under the Apache License, Version 2.0 (the "License");
  4. # you may not use this file except in compliance with the License.
  5. # You may obtain a copy of the License at
  6. #
  7. # http://www.apache.org/licenses/LICENSE-2.0
  8. #
  9. # Unless required by applicable law or agreed to in writing, software
  10. # distributed under the License is distributed on an "AS IS" BASIS,
  11. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12. # See the License for the specific language governing permissions and
  13. # limitations under the License.
  14. # ==============================================================================
  15. import mindspore.dataset.transforms.vision.c_transforms as vision
  16. import pytest
  17. import mindspore.dataset as ds
  18. DATA_DIR = ["../data/dataset/test_tf_file_3_images/train-0000-of-0001.data"]
  19. def skip_test_exception():
  20. ds.config.set_num_parallel_workers(1)
  21. data = ds.TFRecordDataset(DATA_DIR, columns_list=["image"])
  22. data = data.map(input_columns=["image"], operations=vision.Resize(100, 100))
  23. with pytest.raises(RuntimeError) as info:
  24. data.create_tuple_iterator().get_next()
  25. assert "The shape size 1 of input tensor is invalid" in str(info.value)
  26. if __name__ == '__main__':
  27. test_exception()

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.