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| # ***************************************************************************** | |
| # Copyright (c) 2018, 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 | |
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| # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| # | |
| # ***************************************************************************** | |
| import argparse | |
| def parse_waveglow_args(parent, add_help=False): | |
| """ | |
| Parse commandline arguments. | |
| """ | |
| parser = argparse.ArgumentParser(parents=[parent], add_help=add_help, allow_abbrev=False) | |
| # misc parameters | |
| parser.add_argument('--n-mel-channels', default=80, type=int, | |
| help='Number of bins in mel-spectrograms') | |
| # glow parameters | |
| parser.add_argument('--flows', default=12, type=int, | |
| help='Number of steps of flow') | |
| parser.add_argument('--groups', default=8, type=int, | |
| help='Number of samples in a group processed by the steps of flow') | |
| parser.add_argument('--early-every', default=4, type=int, | |
| help='Determines how often (i.e., after how many coupling layers) \ | |
| a number of channels (defined by --early-size parameter) are output\ | |
| to the loss function') | |
| parser.add_argument('--early-size', default=2, type=int, | |
| help='Number of channels output to the loss function') | |
| parser.add_argument('--sigma', default=1.0, type=float, | |
| help='Standard deviation used for sampling from Gaussian') | |
| parser.add_argument('--segment-length', default=4000, type=int, | |
| help='Segment length (audio samples) processed per iteration') | |
| # wavenet parameters | |
| wavenet = parser.add_argument_group('WaveNet parameters') | |
| wavenet.add_argument('--wn-kernel-size', default=3, type=int, | |
| help='Kernel size for dialted convolution in the affine coupling layer (WN)') | |
| wavenet.add_argument('--wn-channels', default=512, type=int, | |
| help='Number of channels in WN') | |
| wavenet.add_argument('--wn-layers', default=8, type=int, | |
| help='Number of layers in WN') | |
| return parser | |