Return an example's size as a float or tuple. This value is used when filtering a dataset with ``--max-positions``.

Parameters ---------- pattern : regex to extract pattern inc : increment of line count after extraction Retur

Construct an LayerNorm object.

Transform a human-readable string into a sequence of int ids. The ids should be in the range [num_reserved_ids, vocab_size). Ids [0,

Return the keys of the scp file.

Transform a sequence of int ids into a human-readable string. EOS is not expected in ids. Args: ids: list of integers to be

input: signal of shape (N) output: Wavelet_lf0 of shape(10, N), scales of shape(10)

:param wav_data: [T] :param mel: [T, 80] :param hparams: :return:

Read hdf5 dataset. Args: hdf5_name (str): Filename of hdf5 file. hdf5_path (str): Dataset name in hdf5 file. Return:

Remove weight normalization module from all of the layers.

Perform STFT and convert to magnitude spectrogram. Args: x (Tensor): Input signal tensor (B, T). fft_size (int): FFT size.

Initialize Conv2d module.

Initialize STFT loss module.

:param dur_pred: [B, T], float, log scale :param mel2ph: [B, T] :param txt_tokens: [B, T] :param losses: :re

Initialize Conv1d module.

Initialize TFResidualStack module. Args: kernel_size (int): Kernel size. channles (int): Number of channels.

Initialize Parallel WaveGAN Generator module. Args: in_channels (int): Number of input channels. out_channels (int):

Initialize MelGANGenerator module. Args: in_channels (int): Number of input channels. out_channels (int): Number of o

f0_values: (batchsize, length, dim) where dim indicates fundamental tone and overtones

Initialize vocabulary with tokens from token_generator.

根据数字系统类型返回创建相应的数字系统，默认为 mid NUMBERING_TYPES = ['low', 'mid', 'high']: 中文数字系统类型 low: '兆' = '亿' * '十' = $10^{9}$, '京' = '兆' * '十', et

Run evaluation code. :param model: PT model :param dataloaders: list of PT dataloaders :param max_batches: Scalar :pa