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34 lines
1.1 KiB
Python
34 lines
1.1 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 torch import nn
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from torch.distributions import Normal
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from kornia.augmentation.random_generator import DistributionWithMapper
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from testing.base import assert_close
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class TestDistMapper:
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def test_mapper(self):
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_ = torch.manual_seed(0)
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dist = DistributionWithMapper(Normal(0.0, 1.0), map_fn=nn.Sigmoid())
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out = dist.rsample((8,))
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exp = torch.tensor([0.8236, 0.4272, 0.1017, 0.6384, 0.2527, 0.1980, 0.5995, 0.6980])
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assert_close(out, exp, rtol=1e-4, atol=1e-4)
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