66 lines
3.5 KiB
Python
66 lines
3.5 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 argparse
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def parse_waveglow_args(parent, add_help=False):
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"""
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Parse commandline arguments.
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"""
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parser = argparse.ArgumentParser(parents=[parent], add_help=add_help)
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# misc parameters
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parser.add_argument('--n-mel-channels', default=80, type=int,
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help='Number of bins in mel-spectrograms')
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# glow parameters
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parser.add_argument('--flows', default=12, type=int,
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help='Number of steps of flow')
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parser.add_argument('--groups', default=8, type=int,
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help='Number of samples in a group processed by the steps of flow')
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parser.add_argument('--early-every', default=4, type=int,
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help='Determines how often (i.e., after how many coupling layers) \
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a number of channels (defined by --early-size parameter) are output\
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to the loss function')
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parser.add_argument('--early-size', default=2, type=int,
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help='Number of channels output to the loss function')
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parser.add_argument('--sigma', default=1.0, type=float,
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help='Standard deviation used for sampling from Gaussian')
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parser.add_argument('--segment-length', default=8000, type=int,
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help='Segment length (audio samples) processed per iteration')
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# wavenet parameters
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wavenet = parser.add_argument_group('WaveNet parameters')
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wavenet.add_argument('--wn-kernel-size', default=3, type=int,
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help='Kernel size for dialted convolution in the affine coupling layer (WN)')
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wavenet.add_argument('--wn-channels', default=256, type=int,
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help='Number of channels in WN')
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wavenet.add_argument('--wn-layers', default=8, type=int,
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help='Number of layers in WN')
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return parser
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