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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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import paddle
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import torch
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from parallel_wavegan.losses import stft_loss as sl
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from paddlespeech.t2s.modules.losses import MultiResolutionSTFTLoss
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def test_multi_resolution_stft_loss():
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net = MultiResolutionSTFTLoss()
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net2 = sl.MultiResolutionSTFTLoss()
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x = paddle.uniform([4, 46080])
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y = paddle.uniform([4, 46080])
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sc, m = net(x, y)
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sc2, m2 = net2(torch.as_tensor(x.numpy()), torch.as_tensor(y.numpy()))
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print(sc.numpy())
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print(sc2.data.cpu().numpy())
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print(m.numpy())
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print(m2.data.cpu().numpy())
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