Functions — github.com/MoonInTheRiver/DiffSinger

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Functions694 in github.com/MoonInTheRiver/DiffSinger

⨍ Functions 694◇ Types & classes 154

Method__init__

(self, in_channels, out_channels, kernel_size, padding=0)

modules/commons/common_layers.py:151

Method__init__

(self, embed_dim, num_heads, kdim=None, vdim=None, dropout=0., bias=True, add_bias_kv=False,

modules/commons/common_layers.py:167

Method__init__

(self, hidden_size, filter_size, padding="SAME", kernel_size=1, dropout=0., act='gelu')

modules/commons/common_layers.py:487

Method__init__

(self, c)

modules/commons/common_layers.py:526

Method__init__

(self, c, num_heads, dropout, attention_dropout=0.1, relu_dropout=0.1, kernel_size=9, padding

modules/commons/common_layers.py:543

Method__init__

(self, c, num_heads, dropout, attention_dropout=0.1, relu_dropout=0.1, kernel_size=9, act='gelu')

modules/commons/common_layers.py:592

vocoders/hifigan.py:41

Method__init__

(self, path, num_cache=1)

utils/indexed_datasets.py:8

Method__init__

(self, path)

utils/indexed_datasets.py:42

Method__init__

(self, scheduling: dict)

utils/pl_utils.py:258

Method__init__

(self, filepath, monitor='val_loss', verbose=0, num_ckpt_keep=5, save_weights_only=False, mod

utils/pl_utils.py:285

Method__init__

(self, optimizer)

utils/training_utils.py:5

(self, name, print_time=False)

utils/__init__.py:225

Method__init__

(self, simplified, traditional)

utils/text_norm.py:65

Method__init__

(self, power, simplified, traditional, big_s, big_t)

utils/text_norm.py:84

Method__init__

(self, value, simplified, traditional, big_s, big_t, alt_s=None, alt_t=None)

utils/text_norm.py:118

Method__init__

(self, simplified, traditional, symbol, expression=None)

utils/text_norm.py:139

Method__init__

(self, positive, negative, point)

utils/text_norm.py:165

Method__init__

(self, cardinal=None, chntext=None)

utils/text_norm.py:424

Method__init__

(self, digit=None, chntext=None)

utils/text_norm.py:440

Method__init__

(self, telephone=None, raw_chntext=None, chntext=None)

utils/text_norm.py:456

Method__init__

(self, fraction=None, chntext=None)

utils/text_norm.py:490

Method__init__

(self, money=None, chntext=None)

utils/text_norm.py:566

Method__init__

(self, percentage=None, chntext=None)

utils/text_norm.py:589

Method__init__

(self, raw_text)

utils/text_norm.py:604

Method__init__

Initialize from a file or list, one token per line. Handling of reserved tokens works as follows: - When initializing from a list, we

utils/text_encoder.py:160

Method__init__

(self, processed_data_dir=None)

data_gen/singing/binarize.py:34

Method__init__

(self, processed_data_dir=None)

data_gen/tts/base_binarizer.py:23

Method__init__

(self, text)

data_gen/tts/data_gen_utils.py:198

Method__init__

(self, shuffle)

tasks/base_task.py:31

Method__init__

(self, prefix, shuffle=False)

tasks/tts/fs2_utils.py:24

Method__init__

(self, *args, **kwargs)

Return the iterator of the scp file.

modules/parallel_wavegan/utils/utils.py:163

Method__iter__

(self)

utils/text_norm.py:170

Method__len__

Return the length of the scp file.

modules/parallel_wavegan/utils/utils.py:159

Method__len__

(self)

utils/indexed_datasets.py:38

Method__len__

(self)

utils/text_encoder.py:224

Method__len__

(self)

tasks/base_task.py:48

Method__repr__

(self)

utils/text_norm.py:73

Method__setstate__

Set state.

modules/parallel_wavegan/optimizers/radam.py:23

Method__str__

(self)

utils/text_norm.py:90

Method__str__

(self)

utils/text_norm.py:126

Method_apply_weight_norm

(m)

modules/parallel_wavegan/models/parallel_wavegan.py:186

Method_apply_weight_norm

(m)

modules/parallel_wavegan/models/parallel_wavegan.py:284

Method_apply_weight_norm

(m)

modules/parallel_wavegan/models/parallel_wavegan.py:418

Method_apply_weight_norm

(m)

modules/parallel_wavegan/models/melgan.py:172

Method_apply_weight_norm

(m)

modules/parallel_wavegan/models/melgan.py:408

Function_get_data_loader

Method_remove_weight_norm

(m)

modules/parallel_wavegan/models/parallel_wavegan.py:175

Method_remove_weight_norm

(m)

modules/parallel_wavegan/models/parallel_wavegan.py:293

Method_remove_weight_norm

(m)

modules/parallel_wavegan/models/parallel_wavegan.py:427

Method_remove_weight_norm

(m)

modules/parallel_wavegan/models/melgan.py:161

Method_remove_weight_norm

(m)

modules/parallel_wavegan/models/melgan.py:397

Method_reset_parameters

(m)

modules/parallel_wavegan/models/melgan.py:186

Method_reset_parameters

(m)

modules/parallel_wavegan/models/melgan.py:422

Method_sizes

(self)

tasks/base_task.py:39

(self, sample, batch_idx, _)

usr/task.py:56

Method_training_step

(self, sample, batch_idx, _)

tasks/tts/fs2.py:75

Method_training_step

(self, sample, batch_idx, _)

tasks/tts/pe.py:111

Method_validation_end

Analysis with PQMF. Args: x (Tensor): Input tensor (B, 1, T). Returns: Tensor: Output tensor (B, subbands, T

modules/parallel_wavegan/layers/pqmf.py:105

Functionapply_weight_norm

(m)

modules/hifigan/hifigan.py:20

Methodbackward

(ctx, grad_output)

modules/commons/common_layers.py:475

Functionbatch_by_size

Yield mini-batches of indices bucketed by size. Batches may contain sequences of different lengths. Args: indices (List[int]): o

Methodbuild_optimizer

(self, model)

usr/diffspeech_task.py:40

Methodbuild_optimizer

(self, model)

tasks/tts/tts.py:43

Methodbuild_scheduler

(self, optimizer)

usr/task.py:75

Methodbuild_scheduler

(self, optimizer)

tasks/tts/tts.py:40

Methodbuild_tts_model

(self)

usr/diffsinger_task.py:33

Methodbuild_tts_model

(self)

usr/diffsinger_task.py:109

Methodbuild_tts_model

(self)

usr/task.py:16

Methodbuild_tts_model

(self)

usr/diffspeech_task.py:23

Methodbuild_tts_model

(self)

tasks/tts/pe.py:106

Methodcall

Calculate forward propagation. Args: x (Tensor): Input tensor (B, T, 1, C). Returns: Tensor: Padded tensor (

modules/parallel_wavegan/layers/tf_layers.py:25

Methodcall

Calculate forward propagation. Args: x (Tensor): Input tensor (B, T, 1, C). Returns: Tensors: Output tensor

modules/parallel_wavegan/layers/tf_layers.py:60

Methodcall

Calculate forward propagation. Args: x (Tensor): Input tensor (B, T, 1, C). Returns: Tensor: Output tensor (

modules/parallel_wavegan/layers/tf_layers.py:115

Methodchntext2cardinal

(self)

utils/text_norm.py:428

Methodchntext2fraction

(self)

utils/text_norm.py:494

Methodchntext2percentage

(self)

utils/text_norm.py:593

Functionchunked_worker

(worker_id, map_func, args, results_queue=None, init_ctx_func=None)

utils/multiprocess_utils.py:6

Functioncollate_1d

Convert a list of 1d tensors into a padded 2d tensor.

utils/__init__.py:44

Functioncollate_2d

Convert a list of 2d tensors into a padded 3d tensor.

utils/__init__.py:62

Methodcollater

(self, samples)

usr/diffsinger_task.py:97

Methodcollater

(self, samples)

tasks/base_task.py:45

Methodcollater

(self, samples)

tasks/tts/fs2_utils.py:105

Methodcollater

(self, samples)

tasks/tts/pe.py:70

Functioncond_discriminator_loss

(outputs)

modules/hifigan/hifigan.py:350

Methodcreate

(cls, i, v)

utils/text_norm.py:130

Methodcwt2f0_norm

(self, cwt_spec, mean, std, mel2ph)

usr/diff/shallow_diffusion_tts.py:349

Functioncycle

(dl)

usr/diff/diffusion.py:28

Functioncycle

(dl)

usr/diff/shallow_diffusion_tts.py:28

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