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Functions140 in github.com/Andong-Li-speech/RNDVoC

⨍ Functions 140◇ Types & classes 38
Methodforward
(self, x)
Models/models.py:64
Methodforward
(self, y, y_hat)
Models/models.py:101
Methodforward
phase_r: (B, F, T) phase_g: (B, F, T)
Models/models.py:161
Methodforward
(self, y: torch.Tensor, y_hat: torch.Tensor)
Models/models.py:192
Methodforward
(self, x)
Models/models.py:233
Methodforward
(self, y, y_hat)
Models/models.py:259
Methodforward
( self, y: torch.Tensor, y_hat: torch.Tensor, bandwidth_id: torch.Tensor = None )
Models/models.py:293
Methodforward
(self, x: torch.Tensor, cond_embedding_id: torch.Tensor = None)
Models/models.py:373
Methodforward
(self, x: torch.tensor)
Models/models.py:529
Methodforward
(self, y: torch.Tensor, y_hat: torch.Tensor)
Models/models.py:601
Methodforward
inpt: (B, C, nband, T) return: (B, C, nband, T)
Models/rnd_utils/local_utils.py:28
Methodforward
(B, N, T, C) return: (B, N, T, C)
Models/rnd_utils/local_utils.py:73
Methodforward
x: (B, N, C) return: {k, v}->(B, heads, N, C//heads)
Models/rnd_utils/local_utils.py:164
Methodforward
x: (B, N, C) return: (B, N, C)
Models/rnd_utils/local_utils.py:202
Methodforward
input: (B, C, T) or (B, C, X, T) return: xxx
Models/rnd_utils/norm.py:33
Methodforward
input: (B, T, C) or (B, nband, T, C) return: (B, T, C) or (B, nband, T, C)
Models/rnd_utils/norm.py:78
Methodforward
input: (B*nband, C, T) nband: int or None, current nband, for SFI case return: (B*nband, C, T)
Models/rnd_utils/norm.py:111
Methodforward
input: (B, C, nband, T) return: (B, C, nband, T)
Models/rnd_utils/norm.py:150
Methodforward
(self, x)
Models/rnd_utils/basic_arch.py:18
Methodforward
input: (BT, G, nband) return: (BT, G, nband)
Models/rnd_utils/basic_arch.py:44
Methodforward
input: (B, F, T, 2) log_input: (B, F, T) return: (B, nband, C, T)
Models/rnd_utils/basic_arch.py:98
Methodforward
input: (B, F, T, 2) log_input: (B, F, T) return: (B, nband, C, T)
Models/rnd_utils/basic_arch.py:162
Methodforward
input: (B, F, T, 2) log_input: (B, F, T) return: (B, nband, C, T)
Models/rnd_utils/basic_arch.py:222
Methodforward
emb_input: (B, nband, C, T) return: mag: (B, F, T) phase: (B, F, T)
Models/rnd_utils/basic_arch.py:285
Methodforward
emb_input: (B, nband, C, T) return: mag: (B, F, T) phase: (B, F, T)
Models/rnd_utils/basic_arch.py:357
Methodforward
emb_input: (B, nband, C, T) return: mag: (B, F, T) phase: (B, F, T)
Models/rnd_utils/basic_arch.py:434
Methodforward
input: (B, T, C, nband) return: (B, T, C, nband)
Models/rnd_utils/basic_arch.py:487
Methodforward
input: (B, nband, C, T) return: (B, nband, C, T)
Models/rnd_utils/basic_arch.py:538
Methodforward
input: (B, T, C, nband) return: (B, T, C, nband)
Models/rnd_utils/basic_arch.py:576
Methodforward
inpt: (B, nband, C, T) return: (B, nband, C, T)
Models/rnd_utils/basic_arch.py:624
Functionget_dataset_filelist
(input_training_wav_list, input_validation_wav_list, raw_wavfile_path)
dataset_ljs.py:180
Methodget_nband
(self)
Models/rnd_utils/basic_arch.py:159
Methodget_nband
(self)
Models/rnd_utils/basic_arch.py:219
Functioninit_weights
(m, mean=0.0, std=0.01)
utils.py:35
Functioninverse_mel
( mel, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax,
dataset_libritts.py:118
Functioninverse_mel
( mel, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax,
dataset_ljs.py:130
Functionls_discriminator_loss
(disc_real_outputs, disc_generated_outputs)
Models/models.py:670
Functionls_generator_loss
(disc_outputs)
Models/models.py:684
Functionscan_checkpoint
(cp_dir, prefix)
inference.py:35
Functionspectrogram
( y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax,
dataset_ljs.py:92
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