# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import paddle
import torch
from parallel_wavegan.losses import stft_loss as sl

from paddlespeech.t2s.modules.losses import MultiResolutionSTFTLoss


def test_multi_resolution_stft_loss():
    net = MultiResolutionSTFTLoss()
    net2 = sl.MultiResolutionSTFTLoss()

    x = paddle.uniform([4, 46080])
    y = paddle.uniform([4, 46080])
    sc, m = net(x, y)
    sc2, m2 = net2(torch.as_tensor(x.numpy()), torch.as_tensor(y.numpy()))
    print(sc.numpy())
    print(sc2.data.cpu().numpy())
    print(m.numpy())
    print(m2.data.cpu().numpy())
