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- # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
- # Redistribution and use in source and binary forms, with or without
- # modification, are permitted provided that the following conditions are met:
- # * Redistributions of source code must retain the above copyright
- # notice, this list of conditions and the following disclaimer.
- # * Redistributions in binary form must reproduce the above copyright
- # notice, this list of conditions and the following disclaimer in the
- # documentation and/or other materials provided with the distribution.
- # * Neither the name of the NVIDIA CORPORATION nor the
- # names of its contributors may be used to endorse or promote products
- # derived from this software without specific prior written permission.
- # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
- # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
- # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- # DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
- # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
- # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- import os
- from fastspeech.utils.hparam import Hparam
- import torch
- # hyperparamter
- HP_ROOT_PATH = os.path.join(os.path.dirname(__file__), 'hparams')
- hparam = Hparam(HP_ROOT_PATH)
- # device
- DEFAULT_DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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