Functions — github.com/SociallyIneptWeeb/AICoverGen

Method__init__

( self, sampling_rate, harmonic_num=0, sine_amp=0.1, add_noise_std=0.0

src/infer_pack/models_onnx_moess.py:389

Method__init__

( self, initial_channel, resblock, resblock_kernel_sizes, resblock_dil

src/infer_pack/models_onnx_moess.py:421

Method__init__

( self, spec_channels, segment_size, inter_channels, hidden_channels,

src/infer_pack/models_onnx_moess.py:531

Method__init__

( self, spec_channels, segment_size, inter_channels, hidden_channels,

src/infer_pack/models_onnx_moess.py:629

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models_onnx_moess.py:714

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models_onnx_moess.py:744

Method__init__

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

src/infer_pack/models_onnx_moess.py:774

Method__init__

( self, hidden_channels, filter_channels, n_heads, n_layers, k

src/infer_pack/attentions.py:14

Method__init__

( self, hidden_channels, filter_channels, n_heads, n_layers, k

src/infer_pack/attentions.py:77

Method__init__

( self, channels, out_channels, n_heads, p_dropout=0.0, window

src/infer_pack/attentions.py:163

Method__init__

( self, out_channels, hidden_channels, filter_channels, n_heads,

src/infer_pack/models.py:18

Method__init__

( self, out_channels, hidden_channels, filter_channels, n_heads,

src/infer_pack/models.py:65

Method__init__

( self, channels, hidden_channels, kernel_size, dilation_rate,

src/infer_pack/models.py:112

Method__init__

( self, in_channels, out_channels, hidden_channels, kernel_size,

src/infer_pack/models.py:161

Method__init__

( self, initial_channel, resblock, resblock_kernel_sizes, resblock_dil

src/infer_pack/models.py:206

Method__init__

( self, sampling_rate, harmonic_num=0, sine_amp=0.1, add_noise_std=0.0

src/infer_pack/models.py:391

Method__init__

( self, initial_channel, resblock, resblock_kernel_sizes, resblock_dil

src/infer_pack/models.py:423

Method__init__

( self, spec_channels, segment_size, inter_channels, hidden_channels,

src/infer_pack/models.py:533

Method__init__

( self, spec_channels, segment_size, inter_channels, hidden_channels,

src/infer_pack/models.py:644

Method__init__

( self, spec_channels, segment_size, inter_channels, hidden_channels,

src/infer_pack/models.py:755

Method__init__

( self, spec_channels, segment_size, inter_channels, hidden_channels,

src/infer_pack/models.py:857

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models.py:959

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models.py:989

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models.py:1019

Method__init__

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

src/infer_pack/models.py:1049

Method__init__

(self, channels, eps=1e-5)

src/infer_pack/modules.py:21

Method__init__

( self, in_channels, hidden_channels, out_channels, kernel_size,

src/infer_pack/modules.py:36

Method__init__

(self, channels, kernel_size, n_layers, p_dropout=0.0)

src/infer_pack/modules.py:92

Method__init__

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

src/infer_pack/modules.py:225

Method__init__

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

src/infer_pack/modules.py:322

Method__init__

(self, channels)

src/infer_pack/modules.py:388

Method__init__

( self, channels, hidden_channels, kernel_size, dilation_rate,

src/infer_pack/modules.py:406

Method__init__

( self, in_channels, filter_channels, kernel_size, n_layers, n

src/infer_pack/modules.py:466

Method__init__

( self, out_channels, hidden_channels, filter_channels, n_heads,

src/infer_pack/models_onnx.py:18

Method__init__

( self, out_channels, hidden_channels, filter_channels, n_heads,

src/infer_pack/models_onnx.py:65

Method__init__

( self, channels, hidden_channels, kernel_size, dilation_rate,

src/infer_pack/models_onnx.py:112

Method__init__

( self, in_channels, out_channels, hidden_channels, kernel_size,

src/infer_pack/models_onnx.py:161

Method__init__

( self, initial_channel, resblock, resblock_kernel_sizes, resblock_dil

src/infer_pack/models_onnx.py:206

Method__init__

( self, sampling_rate, harmonic_num=0, sine_amp=0.1, add_noise_std=0.0

src/infer_pack/models_onnx.py:391

Method__init__

( self, initial_channel, resblock, resblock_kernel_sizes, resblock_dil

src/infer_pack/models_onnx.py:423

Method__init__

( self, spec_channels, segment_size, inter_channels, hidden_channels,

src/infer_pack/models_onnx.py:533

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models_onnx.py:653

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models_onnx.py:683

Method__init__

(self, use_spectral_norm=False)

src/infer_pack/models_onnx.py:713

Method__init__

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

src/infer_pack/models_onnx.py:743

Method_causal_padding

(self, x)

src/infer_pack/attentions.py:401

Method_process_wave

Process each wave segment in a multi-threaded environment Args: mix_waves: (torch.Tensor) Wave segments to be processed

src/mdx.py:173

Method_same_padding

(self, x)

src/infer_pack/attentions.py:410

Functionadd_timing_signal_1d

(x, min_timescale=1.0, max_timescale=1.0e4)

src/infer_pack/commons.py:88

Functioncat_timing_signal_1d

(x, min_timescale=1.0, max_timescale=1.0e4, axis=1)

src/infer_pack/commons.py:94

Functionclip_grad_value_

(parameters, clip_value, norm_type=2)

src/infer_pack/commons.py:151

Methodconstruct_spkmixmap

(self, n_speaker)

src/infer_pack/models_onnx.py:629

Functiondownload_online_model

(url, dir_name, progress=gr.Progress())

src/webui.py:70

Functionfilter_models

(tags, query)

src/webui.py:106

Methodforward

(self, x)

src/rmvpe.py:19

Methodforward

(self, x)

src/rmvpe.py:54

Methodforward

(self, x)

src/rmvpe.py:90

Methodforward

(self, x)

src/rmvpe.py:113

Methodforward

(self, x)

src/rmvpe.py:135

Methodforward

(self, x, concat_tensor)

src/rmvpe.py:164

Methodforward

(self, x, concat_tensors)

src/rmvpe.py:184

Methodforward

(self, x)

src/rmvpe.py:214

Methodforward

(self, mel)

src/rmvpe.py:254

Methodforward

(self, audio, keyshift=0, speed=1, center=True)

src/rmvpe.py:295

Methodforward

(self, phone, pitch, lengths)

src/infer_pack/models_onnx_moess.py:46

Methodforward

(self, phone, pitch, lengths)

src/infer_pack/models_onnx_moess.py:93

Methodforward

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

src/infer_pack/models_onnx_moess.py:144

Methodforward

(self, x, x_lengths, g=None)

src/infer_pack/models_onnx_moess.py:188

Methodforward

(self, x, g=None)

src/infer_pack/models_onnx_moess.py:251

Methodforward

sine_tensor, uv = forward(f0) input F0: tensor(batchsize=1, length, dim=1) f0 for unvoiced steps should be 0 output

src/infer_pack/models_onnx_moess.py:318

Methodforward

(self, x, upp=None)

src/infer_pack/models_onnx_moess.py:412

Methodforward

(self, x, f0, g=None)

src/infer_pack/models_onnx_moess.py:492

Methodforward

(self, phone, phone_lengths, pitch, nsff0, sid, rnd, max_len=None)

src/infer_pack/models_onnx_moess.py:615

Methodforward

( self, phone, phone_lengths, pitch, pitchf, ds, max_len=None )

src/infer_pack/models_onnx_moess.py:703

Methodforward

(self, y, y_hat)

src/infer_pack/models_onnx_moess.py:725

Methodforward

(self, x)

src/infer_pack/models_onnx_moess.py:759

Methodforward

(self, x)

src/infer_pack/models_onnx_moess.py:830

Methodforward

(self, x, x_mask)

src/infer_pack/attentions.py:61

Methodforward

x: decoder input h: encoder output

src/infer_pack/attentions.py:136

Methodforward

(self, x, c, attn_mask=None)

src/infer_pack/attentions.py:216

Methodforward

(self, x, x_mask)

src/infer_pack/attentions.py:391

Methodforward

(self, phone, pitch, lengths)

src/infer_pack/models.py:46

Methodforward

(self, phone, pitch, lengths)

src/infer_pack/models.py:93

Methodforward

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

src/infer_pack/models.py:146

Methodforward

(self, x, x_lengths, g=None)

src/infer_pack/models.py:190

Methodforward

(self, x, g=None)

src/infer_pack/models.py:253

Methodforward

sine_tensor, uv = forward(f0) input F0: tensor(batchsize=1, length, dim=1) f0 for unvoiced steps should be 0 output

src/infer_pack/models.py:320

Methodforward

(self, x, upp=None)

src/infer_pack/models.py:414

Methodforward

(self, x, f0, g=None)

src/infer_pack/models.py:494

Methodforward

( self, phone, phone_lengths, pitch, pitchf, y, y_lengths, ds )

src/infer_pack/models.py:617

Methodforward

( self, phone, phone_lengths, pitch, pitchf, y, y_lengths, ds )

src/infer_pack/models.py:728

Methodforward

(self, phone, phone_lengths, y, y_lengths, ds)

src/infer_pack/models.py:836

Methodforward

(self, phone, phone_lengths, y, y_lengths, ds)

src/infer_pack/models.py:938

Methodforward

(self, y, y_hat)

src/infer_pack/models.py:970

Methodforward

(self, y, y_hat)

src/infer_pack/models.py:1000

Methodforward

(self, x)

src/infer_pack/models.py:1034

Methodforward

(self, x)

src/infer_pack/models.py:1105

Methodforward

(self, x)

src/infer_pack/modules.py:29

Methodforward

(self, x, x_mask)

src/infer_pack/modules.py:77

Methodforward

(self, x, x_mask, g=None)

src/infer_pack/modules.py:121

Functions262 in github.com/SociallyIneptWeeb/AICoverGen