↓ 2 callersFunctionmel_spectrogram_torch(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False)
gpt_sovits/GPT_SoVITS/module/mel_processing.py:93
↓ 1 callersMethod__init__(
self,
params,
lr=3e-02,
clipping_scale=None,
betas=(0.9, 0.98),
gpt_sovits/GPT_SoVITS/AR/modules/optim.py:156
↓ 1 callersMethod_absolute_position_to_relative_position x: [b, h, l, l] ret: [b, h, l, 2*l-1]
gpt_sovits/GPT_SoVITS/module/attentions.py:311
↓ 1 callersFunction_compute_scale_factor(
x: Tensor,
channel_dim: int,
min_abs: float,
max_abs: float,
gain_factor: float,
max
gpt_sovits/GPT_SoVITS/AR/modules/scaling.py:133
↓ 1 callersMethod_matmul_with_relative_keys x: [b, h, l, d] y: [h or 1, m, d] ret: [b, h, l, m]
gpt_sovits/GPT_SoVITS/module/attentions.py:269
↓ 1 callersMethod_matmul_with_relative_values x: [b, h, l, m] y: [h or 1, m, d] ret: [b, h, l, d]
gpt_sovits/GPT_SoVITS/module/attentions.py:260