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46 lines
1.8 KiB
Python
46 lines
1.8 KiB
Python
# LICENSE HEADER MANAGED BY add-license-header
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#
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# Copyright 2018 Kornia Team
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import torch
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from testing.base import assert_close
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def reproducibility_test(input, seq):
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"""Any tests failed here indicate the output cannot be reproduced by the same params."""
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if isinstance(input, (tuple, list)):
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output_1 = seq(*input)
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output_2 = seq(*input, params=seq._params)
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else:
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output_1 = seq(input)
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output_2 = seq(input, params=seq._params)
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if isinstance(output_1, (tuple, list)) and isinstance(output_2, (tuple, list)):
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[
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assert_close(o1, o2)
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for o1, o2 in zip(output_1, output_2)
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if isinstance(o1, (torch.Tensor,)) and isinstance(o2, (torch.Tensor,))
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]
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elif isinstance(output_1, (tuple, list)) and isinstance(output_2, (torch.Tensor,)):
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assert_close(output_1[0], output_2)
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elif isinstance(output_2, (tuple, list)) and isinstance(output_1, (torch.Tensor,)):
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assert_close(output_1, output_2[0])
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elif isinstance(output_2, (torch.Tensor,)) and isinstance(output_1, (torch.Tensor,)):
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assert_close(output_1, output_2, msg=f"{seq._params}")
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else:
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raise AssertionError(f"cannot compare {type(output_1)} and {type(output_2)}")
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