src/sbv2/generator.py

import torch.nn as nn

class Generator(nn.Module):
    def __init__(
        self,
        upsample_rates,
        upsample_initial_channel,
        resblock_kernel_sizes,
        resblock_dilation_sizes,
        resblock,
        upsample_kernel_sizes,
        inter_channels,
        out_channels,
        sampling_rate
    ):
        super().__init__()
        self.dummy = nn.Identity()  # 実装は後で拡張可

    def forward(self, x):
        return self.dummy(x)