↓ 1 callersFunctionprepare_inputs_for_dit(self, mel2ph_ref, mel2ph_pred, ph_ref, tone_ref, ph_pred, tone_pred, vae_latent)
tts/frontend_function.py:154
↓ 1 callersMethodqkv_attention(
self, q: Tensor, k: Tensor, v: Tensor, mask: Optional[Tensor] = None, casual: Optional[bool] = None
tts/modules/aligner/whisper_small.py:118
Method__init__(
self, n_mels: int, n_ctx: int, n_state: int, n_head: int, n_layer: int
)
tts/modules/aligner/whisper_small.py:169
Method__init__(
self, n_vocab: int, n_ctx: int, n_state: int, n_head: int, n_layer: int
)
tts/modules/aligner/whisper_small.py:202
Method__init__(self, hparams, hidden_size, dec_hidden_size, lm_num_layers, dict_size, code_size, use_rot_embed=True,
tts/modules/ar_dur/ar_dur_predictor.py:172
Method__init__(self, embed_dim, num_heads, kdim=None, vdim=None, dropout=0., bias=True,
add_bias_kv=False,
tts/modules/ar_dur/commons/rot_transformer.py:207
Method__init__(self, embed_dim, num_heads, kdim=None, vdim=None, dropout=0., bias=True,
add_bias_kv=False,
tts/modules/ar_dur/commons/rot_transformer.py:405
Method__init__(self, c, num_heads, dropout, attention_dropout=0.1, relu_dropout=0.1, kernel_size=9,
ffn_hid
tts/modules/ar_dur/commons/rot_transformer.py:613
Method__init__(self, hidden_size, dropout, kernel_size=9, num_heads=8, ffn_hidden_size=1024, post_ln=False,
tts/modules/ar_dur/commons/rot_transformer.py:623
Method__init__(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0.,
wind
tts/modules/ar_dur/commons/rel_transformer.py:42
Method__init__(self, channels, out_channels, n_heads, window_size=None, heads_share=True, p_dropout=0.,
blo
tts/modules/ar_dur/commons/rel_transformer.py:101
Method__init__(self, in_channels, hidden_channels, out_channels, kernel_size, n_layers, p_dropout)
tts/modules/ar_dur/commons/rel_transformer.py:301
Method__init__(self, hidden_size, filter_size, padding="SAME", kernel_size=1, dropout=0., act='gelu', bias=True)
tts/modules/ar_dur/commons/transformer.py:90
Method__init__(self, embed_dim, num_heads, kdim=None, vdim=None, dropout=0., bias=True,
add_bias_kv=False,
tts/modules/ar_dur/commons/transformer.py:153
Method__init__(self, c, num_heads, dropout, attention_dropout=0.1,
relu_dropout=0.1, kernel_size=9, padding
tts/modules/ar_dur/commons/transformer.py:501
Method__init__(self, c, num_heads, dropout, attention_dropout=0.1, relu_dropout=0.1,
kernel_size=9, ffn_hid
tts/modules/ar_dur/commons/transformer.py:544
Method__init__(self, hidden_size, dropout, kernel_size=9, num_heads=2, ffn_hidden_size=1024)
tts/modules/ar_dur/commons/transformer.py:640
Method__init__(self, hidden_size, dropout, kernel_size=9, num_heads=2, ffn_hidden_size=1024, post_ln=False)
tts/modules/ar_dur/commons/transformer.py:655
Method__init__(self, dict_size, hidden_size=256, num_layers=4, kernel_size=9,
dropout=0.0, num_heads=2, ffn
tts/modules/ar_dur/commons/transformer.py:735
Method__init__(self, dim: int, kernel_sizes: tp.List[int] = [3, 1], dilations: tp.List[int] = [1, 1],
activ
tts/modules/wavvae/encoder/common_modules/seanet.py:42
Method__init__(self, *args, causal: bool = False, norm: str = 'none',
norm_kwargs: tp.Dict[str, tp.Any] = {
tts/modules/wavvae/encoder/common_modules/conv.py:108
Method__init__(
self,
dowmsamples: List[int] = [6, 5, 5, 4, 2],
)
tts/modules/wavvae/decoder/seanet_encoder.py:22
Method__init__(self, channels, kernel_size=3, dilation=(1, 3, 5))
tts/modules/wavvae/decoder/hifigan_modules.py:175
Method__init__(self, input_size_, ngf, n_residual_layers, num_band, args, ratios=[5, 5, 4, 3], onnx_export=False,
tts/modules/wavvae/decoder/hifigan_modules.py:229