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# -*- coding: utf-8 -*-
# Copyright 2020 TensorFlowTTS Team.
#
# 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.
"""ParallelWaveGAN Config object."""
from tensorflow_tts.configs import BaseConfig
class ParallelWaveGANGeneratorConfig(BaseConfig):
"""Initialize ParallelWaveGAN Generator Config."""
def __init__(
self,
out_channels=1,
kernel_size=3,
n_layers=30,
stacks=3,
residual_channels=64,
gate_channels=128,
skip_channels=64,
aux_channels=80,
aux_context_window=2,
dropout_rate=0.0,
use_bias=True,
use_causal_conv=False,
upsample_conditional_features=True,
upsample_params={"upsample_scales": [4, 4, 4, 4]},
initializer_seed=42,
**kwargs,
):
"""Init parameters for ParallelWaveGAN Generator model."""
self.out_channels = out_channels
self.kernel_size = kernel_size
self.n_layers = n_layers
self.stacks = stacks
self.residual_channels = residual_channels
self.gate_channels = gate_channels
self.skip_channels = skip_channels
self.aux_channels = aux_channels
self.aux_context_window = aux_context_window
self.dropout_rate = dropout_rate
self.use_bias = use_bias
self.use_causal_conv = use_causal_conv
self.upsample_conditional_features = upsample_conditional_features
self.upsample_params = upsample_params
self.initializer_seed = initializer_seed
class ParallelWaveGANDiscriminatorConfig(object):
"""Initialize ParallelWaveGAN Discriminator Config."""
def __init__(
self,
out_channels=1,
kernel_size=3,
n_layers=10,
conv_channels=64,
use_bias=True,
dilation_factor=1,
nonlinear_activation="LeakyReLU",
nonlinear_activation_params={"alpha": 0.2},
initializer_seed=42,
apply_sigmoid_at_last=False,
**kwargs,
):
"Init parameters for ParallelWaveGAN Discriminator model."
self.out_channels = out_channels
self.kernel_size = kernel_size
self.n_layers = n_layers
self.conv_channels = conv_channels
self.use_bias = use_bias
self.dilation_factor = dilation_factor
self.nonlinear_activation = nonlinear_activation
self.nonlinear_activation_params = nonlinear_activation_params
self.initializer_seed = initializer_seed
self.apply_sigmoid_at_last = apply_sigmoid_at_last
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