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test_cos_op.py 1.5 kB

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  1. # Copyright 2020-2021 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 numpy as np
  16. import pytest
  17. import mindspore.context as context
  18. from mindspore import Tensor
  19. from mindspore.ops import operations as P
  20. def cos(nptype):
  21. np.random.seed(0)
  22. x_np = np.random.rand(2, 3, 4, 4).astype(nptype)
  23. context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
  24. output_ms = P.Cos()(Tensor(x_np))
  25. output_np = np.cos(x_np)
  26. assert np.allclose(output_ms.asnumpy(), output_np)
  27. @pytest.mark.level0
  28. @pytest.mark.platform_x86_gpu_training
  29. @pytest.mark.env_onecard
  30. def test_cos_float16():
  31. cos(np.float16)
  32. @pytest.mark.level0
  33. @pytest.mark.platform_x86_gpu_training
  34. @pytest.mark.env_onecard
  35. def test_cos_float32():
  36. cos(np.float32)
  37. @pytest.mark.level0
  38. @pytest.mark.platform_x86_gpu_training
  39. @pytest.mark.env_onecard
  40. def test_cos_float64():
  41. cos(np.float64)