68 lines
3.1 KiB
Python
68 lines
3.1 KiB
Python
# *****************************************************************************
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# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution.
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# * Neither the name of the NVIDIA CORPORATION nor the
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# names of its contributors may be used to endorse or promote products
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# derived from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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# DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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# *****************************************************************************
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import torch
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from tacotron2.data_function import TextMelCollate
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from tacotron2.data_function import TextMelLoader
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from waveglow.data_function import MelAudioLoader
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from tacotron2.data_function import batch_to_gpu as batch_to_gpu_tacotron2
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from waveglow.data_function import batch_to_gpu as batch_to_gpu_waveglow
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def get_collate_function(model_name, n_frames_per_step):
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if model_name == 'Tacotron2':
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collate_fn = TextMelCollate(n_frames_per_step)
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elif model_name == 'WaveGlow':
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collate_fn = torch.utils.data.dataloader.default_collate
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else:
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raise NotImplementedError(
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"unknown collate function requested: {}".format(model_name))
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return collate_fn
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def get_data_loader(model_name, dataset_path, audiopaths_and_text, args):
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if model_name == 'Tacotron2':
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data_loader = TextMelLoader(dataset_path, audiopaths_and_text, args)
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elif model_name == 'WaveGlow':
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data_loader = MelAudioLoader(dataset_path, audiopaths_and_text, args)
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else:
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raise NotImplementedError(
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"unknown data loader requested: {}".format(model_name))
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return data_loader
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def get_batch_to_gpu(model_name):
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if model_name == 'Tacotron2':
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batch_to_gpu = batch_to_gpu_tacotron2
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elif model_name == 'WaveGlow':
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batch_to_gpu = batch_to_gpu_waveglow
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else:
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raise NotImplementedError(
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"unknown batch_to_gpu requested: {}".format(model_name))
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return batch_to_gpu
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