Functions — github.com/MoonInTheRiver/DiffSinger

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Functions694 in github.com/MoonInTheRiver/DiffSinger

⨍ Functions 694◇ Types & classes 154

↓ 1 callersFunctionrun_task

()

tasks/run.py:5

↓ 1 callersMethodrun_training_batch

(self, batch, batch_idx)

utils/pl_utils.py:1436

↓ 1 callersMethodrun_training_epoch

(self)

utils/pl_utils.py:1371

↓ 1 callersMethodseg

(self)

utils/text_encoder.py:287

↓ 1 callersMethodset_distributed_mode

(self, distributed_backend)

utils/pl_utils.py:823

↓ 1 callersMethodsil_phonemes

(self)

utils/text_encoder.py:303

↓ 1 callersMethodsp_phonemes

()

data_gen/tts/txt_processors/zh_g2pM.py:16

↓ 1 callersFunctionspectral_normalize_torch

(magnitudes)

modules/hifigan/mel_utils.py:31

↓ 1 callersFunctionsplit_train_test_set

(item_names)

data_gen/singing/binarize.py:24

↓ 1 callersFunctionssim

(img1, img2, window_size=11, size_average=True)

modules/commons/ssim.py:383

↓ 1 callersFunctionstring2symbols

(chinese_string, system)

utils/text_norm.py:245

↓ 1 callersMethodtest

(self, model)

utils/pl_utils.py:584

↓ 1 callersMethodtest_end

(self, outputs)

tasks/tts/tts.py:115

↓ 1 callersMethodtest_start

(self)

tasks/tts/tts.py:107

↓ 1 callersMethodtoJson

(self)

data_gen/tts/data_gen_utils.py:264

↓ 1 callersMethodtraining_end

(self, *args, **kwargs)

tasks/base_task.py:273

↓ 1 callersMethodtraining_forward

Handle forward for each training case (distributed, single gpu, etc...) :param batch: :param batch_idx: :return:

utils/pl_utils.py:1564

↓ 1 callersFunctiontrim_long_silences

Ensures that segments without voice in the waveform remain no longer than a threshold determined by the VAD parameters in params.py. :par

data_gen/tts/data_gen_utils.py:27

↓ 1 callersMethodvalidation_step

:param sample: :param batch_idx: :return: output: dict

tasks/base_task.py:168

Method__call__

(self, text)

data_gen/tts/txt_processors/en.py:15

Method__del__

(self)

utils/indexed_datasets.py:21

Method__enter__

(self)

utils/__init__.py:231

Method__exit__

(self, exc_type, exc_val, exc_tb)

utils/__init__.py:234

Method__getitem__

(self, index)

usr/diffsinger_task.py:86

Method__getitem__

Get ndarray for a given key.

modules/parallel_wavegan/utils/utils.py:151

Method__getitem__

(self, i)

utils/indexed_datasets.py:25

Method__getitem__

(self, index)

tasks/base_task.py:42

Method__getitem__

(self, index)

tasks/tts/fs2_utils.py:60

usr/diffsinger_task.py:105

Method__init__

(self)

usr/diffspeech_task.py:18

Method__init__

(self)

usr/singingvocoder/highgan.py:38

Method__init__

(self, *args, **kwargs)

(self, encoder_hidden, residual_channels, dilation)

usr/diff/net.py:59

Method__init__

(self, fn)

usr/diff/diffusion.py:44

Method__init__

(self, dim)

usr/diff/diffusion.py:53

Method__init__

(self, dim)

usr/diff/diffusion.py:73

Method__init__

(self, dim)

usr/diff/diffusion.py:82

Method__init__

(self, fn)

usr/diff/diffusion.py:91

Method__init__

(self, dim, dim_out, *, time_emb_dim, groups=8)

usr/diff/diffusion.py:116

Method__init__

(self, dim, heads=4, dim_head=32)

usr/diff/diffusion.py:135

Method__init__

(self, phone_encoder, out_dims, denoise_fn, timesteps=1000, loss_type='l1', betas=None, spec_

usr/diff/diffusion.py:181

Method__init__

(self, dim)

usr/diff/candidate_decoder.py:15

Method__init__

(self, fn)

usr/diff/shallow_diffusion_tts.py:44

Method__init__

(self, dim)

usr/diff/shallow_diffusion_tts.py:53

Method__init__

(self, dim)

usr/diff/shallow_diffusion_tts.py:73

Method__init__

(self, dim)

usr/diff/shallow_diffusion_tts.py:82

Method__init__

(self, fn)

usr/diff/shallow_diffusion_tts.py:91

Method__init__

(self, dim, dim_out, *, time_emb_dim, groups=8)

usr/diff/shallow_diffusion_tts.py:116

Method__init__

(self, dim, heads=4, dim_head=32)

usr/diff/shallow_diffusion_tts.py:135

Method__init__

(self, phone_encoder, out_dims, denoise_fn, timesteps=1000, K_step=1000, loss_type=hparams.ge

usr/diff/shallow_diffusion_tts.py:195

Method__init__

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

modules/hifigan/hifigan.py:71

Method__init__

Initialize 1x1 Conv1d module.

modules/hifigan/hifigan.py:97

Method__init__

(self, h, c_out=1)

modules/hifigan/hifigan.py:105

Method__init__

(self, period, kernel_size=5, stride=3, use_spectral_norm=False, use_cond=False, c_in=1)

modules/hifigan/hifigan.py:182

Method__init__

(self, use_cond=False, c_in=1)

modules/hifigan/hifigan.py:227

Method__init__

(self, use_spectral_norm=False, use_cond=False, upsample_rates=None, c_in=1)

modules/hifigan/hifigan.py:254

Method__init__

(self, use_cond=False, c_in=1)

modules/hifigan/hifigan.py:290

Method__init__

(self, hidden_size, dropout, kernel_size=None, num_heads=2, norm='ln')

modules/fastspeech/tts_modules.py:17

Method__init__

Initilize duration predictor module. Args: idim (int): Input dimension. n_layers (int, optional): Number of convolutio

modules/fastspeech/tts_modules.py:70

Method__init__

(self, pad_value=0.0)

modules/fastspeech/tts_modules.py:155

Method__init__

Initilize pitch predictor module. Args: idim (int): Input dimension. n_layers (int, optional): Number of convolutional

modules/fastspeech/tts_modules.py:193

Method__init__

(self, hidden_size, num_layers, ffn_kernel_size=9, dropout=None, num_heads=2, use_pos_embed=T

modules/fastspeech/tts_modules.py:252

Method__init__

(self, embed_tokens, hidden_size=None, num_layers=None, kernel_size=None, num_heads=2)

modules/fastspeech/tts_modules.py:311

Method__init__

(self, hidden_size=None, num_layers=None, kernel_size=None, num_heads=None)

modules/fastspeech/tts_modules.py:348

Method__init__

(self, dictionary, out_dims=None)

modules/fastspeech/fs2.py:22

Method__init__

(self, idim=80, n_chans=256, kernel_size=3, stride=1, norm='gn', dropout=0)

modules/fastspeech/pe.py:45

Method__init__

(self, idim=80, n_layers=5, n_chans=256, odim=32, kernel_size=5, norm='gn', dropout=0, stride

modules/fastspeech/pe.py:82

Method__init__

(self, n_mel_bins=80, conv_layers=2)

modules/fastspeech/pe.py:120

Method__init__

Initialize Multi resolution STFT loss module. Args: fft_sizes (list): List of FFT sizes. hop_sizes (list): List of ho

modules/parallel_wavegan/stft_loss.py:58

Method__init__

Initialize HDF5 scp loader. Args: feats_scp (str): Kaldi-style feats.scp file with hdf5 format. default_hdf5_path (st

modules/parallel_wavegan/utils/utils.py:131

Method__init__

Initilize PQMF module. Args: subbands (int): The number of subbands. taps (int): The number of filter taps.

modules/parallel_wavegan/layers/pqmf.py:61

Method__init__

Initialize 1x1 Conv1d module.

modules/parallel_wavegan/layers/residual_block.py:32

Method__init__

Initialize ResidualBlock module. Args: kernel_size (int): Kernel size of dilation convolution layer. residual_channel

modules/parallel_wavegan/layers/residual_block.py:42

Method__init__

Initialize ResidualStack module. Args: kernel_size (int): Kernel size of dilation convolution layer. channels (int):

modules/parallel_wavegan/layers/residual_stack.py:16

Method__init__

Initialize Stretch2d module. Args: x_scale (int): X scaling factor (Time axis in spectrogram). y_scale (int): Y scali

modules/parallel_wavegan/layers/upsample.py:19

Method__init__

Initialize upsampling network module. Args: upsample_scales (list): List of upsampling scales. nonlinear_activation (

modules/parallel_wavegan/layers/upsample.py:64

Method__init__

Initialize convolution + upsampling network module. Args: upsample_scales (list): List of upsampling scales. nonlinea

modules/parallel_wavegan/layers/upsample.py:128

Method__init__

Initialize CausalConvTranspose1d module.

modules/parallel_wavegan/layers/causal_conv.py:39

Method__init__

Initialize TFReflectionPad1d module. Args: padding_size (int): Padding size.

modules/parallel_wavegan/layers/tf_layers.py:14

Method__init__

Initialize TFConvTranspose1d( module. Args: channels (int): Number of channels. kernel_size (int): kernel size.

modules/parallel_wavegan/layers/tf_layers.py:41

Method__init__

Initilize RAdam optimizer.

modules/parallel_wavegan/optimizers/radam.py:17

Method__init__

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

modules/parallel_wavegan/models/parallel_wavegan.py:210

Method__init__

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

modules/parallel_wavegan/models/parallel_wavegan.py:306

Method__init__

Initilize MelGAN discriminator module. Args: in_channels (int): Number of input channels. out_channels (int): Number

modules/parallel_wavegan/models/melgan.py:197

Method__init__

Initilize MelGAN multi-scale discriminator module. Args: in_channels (int): Number of input channels. out_channels (i

modules/parallel_wavegan/models/melgan.py:306

Method__init__

(self, samp_rate, pulse_amp = 0.1, noise_std = 0.003, voiced_threshold = 0)

modules/parallel_wavegan/models/source.py:146

Method__init__

(self)

modules/parallel_wavegan/models/source.py:213

Method__init__

(self, samp_rate, noise_std=0.003, voiced_threshold=0)

modules/parallel_wavegan/models/source.py:252

Method__init__

(self, sampling_rate, noise_std=0.003, voiced_threshod=0)

modules/parallel_wavegan/models/source.py:460

Method__init__

(self, sampling_rate, harmonic_num=0, sine_amp=0.1, add_noise_std=0.003, voiced_threshod=0)

modules/parallel_wavegan/models/source.py:503

Method__init__

Initilize spectral convergence loss module.

modules/parallel_wavegan/losses/stft_loss.py:37

Method__init__

Initilize los STFT magnitude loss module.

modules/parallel_wavegan/losses/stft_loss.py:58

Method__init__

Initialize Multi resolution STFT loss module. Args: fft_sizes (list): List of FFT sizes. hop_sizes (list): List of ho

modules/parallel_wavegan/losses/stft_loss.py:112

Method__init__

(self, window_size=11, size_average=True)

modules/commons/ssim.py:355

Method__init__

(self, *args)

modules/commons/common_layers.py:20

Method__init__

(self, in_dim, out_dim, bias=True, w_init_gain='linear')

modules/commons/common_layers.py:29

Method__init__

(self, in_channels, out_channels, kernel_size=1, stride=1, padding=None, dilation=1, bias=Tru

modules/commons/common_layers.py:42

Method__init__

(self, embedding_dim, padding_idx, init_size=1024)

modules/commons/common_layers.py:94

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