(self, in_channels, hidden_channels, out_channels, kernel_size, n_layers, p_dropout)

(self, channels, kernel_size, n_layers, p_dropout=0.)

(self, channels, kernel_size=3, dilation=(1, 3, 5))

(self, channels, kernel_size=3, dilation=(1, 3))

(self, channels)

(self, channels, hidden_channels, kernel_size, dilation_rate, n_layers, p_

(self, in_channels, filter_channels, kernel_size, n_layers, num_bins=10, tail_bound=5.0)

(self)

(self)

(self)

(self)

( self, encoder_layer: nn.TransformerEncoderLayer, num_layers: int )

(self)

(self)

(self, key, value)

(self, x)

(m)

(m)

(m)

(m)

(m)

(self, x)

()

(text)

(text)

(text)

(text)

(self, x, x_mask)

(self, x, c, attn_mask=None)

(self, x, x_mask)

(self, x, x_mask, w=None, g=None, reverse=False, noise_scale=1.0)

(self, x, x_mask, g=None)

(self, x, x_lengths, emotion_embedding=None)

(self, x, x_mask, g=None, reverse=False)

(self, x, x_lengths, g=None)

(self, x, g=None)

(self, x)

(self, x, x_mask)

(self, x, x_mask, g=None)

(self, x, x_mask, g=None, **kwargs)

(self, x, x_mask=None)

(self, x, x_mask=None)

(self, x, x_mask, reverse=False, **kwargs)

(self, x, *args, reverse=False, **kwargs)

(self, x, x_mask, reverse=False, **kwargs)

(self, x, x_mask, g=None, reverse=False)

(self, x, x_mask, g=None, reverse=False)

(self, x: torch.Tensor)

(self, x: torch.Tensor)

(self, x: torch.Tensor)

(self, x: torch.Tensor)

( self, src: torch.Tensor, mask: torch.Tensor = None, src_key_padding_mask: to

(input_a, input_b, n_channels)

(config_path)

()

(m, mean=0.0, std=0.01)

(lst, item)

(text)

(full_path, target_sampling_rate)

(checkpoint_path, model)

(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False)

(x, x_lengths=None, segment_size=4)

(self)

(self)

(self)

(bot: miraicle.Mirai, msg: miraicle.GroupMessage)

(text)

(obj, optimize=True, _frames_up=0, _rcb=None)

(fn, _rcb=None)

(text)

(spec, n_fft, num_mels, sampling_rate, fmin, fmax)

(magnitudes)

(length)

(text)

(inputs, unnormalized_widths,

(text)