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58 lines
1.6 KiB
Python
58 lines
1.6 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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from __future__ import annotations
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import torch
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from kornia.metrics import AverageMeter
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class TestAverageMeter:
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def test_initial_state(self):
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m = AverageMeter()
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assert m.val == 0
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assert m.avg == 0
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assert m.count == 0
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def test_update_scalar(self):
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m = AverageMeter()
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m.update(0.8, n=1)
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m.update(0.4, n=1)
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assert abs(m.avg - 0.6) < 1e-6
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def test_update_weighted(self):
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m = AverageMeter()
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m.update(1.0, n=3)
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m.update(0.0, n=1)
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assert abs(m.avg - 0.75) < 1e-6
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def test_update_tensor(self):
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m = AverageMeter()
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m.update(torch.tensor(0.9), n=1)
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# avg property converts tensor to float
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assert isinstance(m.avg, float)
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assert abs(m.avg - 0.9) < 1e-6
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def test_reset(self):
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m = AverageMeter()
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m.update(1.0, n=5)
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m.reset()
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assert m.val == 0
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assert m.avg == 0
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assert m.count == 0
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