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This repository was archived by the owner on Nov 11, 2023. It is now read-only.

Update models.py #257

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10 changes: 7 additions & 3 deletions vdecoder/nsf_hifigan/models.py
Original file line number Diff line number Diff line change
Expand Up @@ -146,7 +146,10 @@ def forward(self, f0, upp):
rand_ini[:, 0] = 0
rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini
is_half = rad_values.dtype is not torch.float32
tmp_over_one = torch.cumsum(rad_values.double(), 1) # % 1 #####%1意味着后面的cumsum无法再优化
if f0.device.type == 'mps':
tmp_over_one = torch.cumsum(rad_values, 1)
else:
tmp_over_one = torch.cumsum(rad_values.double(), 1) # % 1 #####%1意味着后面的cumsum无法再优化
if is_half:
tmp_over_one = tmp_over_one.half()
else:
Expand All @@ -161,8 +164,9 @@ def forward(self, f0, upp):
tmp_over_one_idx = (tmp_over_one[:, 1:, :] - tmp_over_one[:, :-1, :]) < 0
cumsum_shift = torch.zeros_like(rad_values)
cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0
rad_values = rad_values.double()
cumsum_shift = cumsum_shift.double()
if f0.device.type != 'mps':
rad_values = rad_values.double()
cumsum_shift = cumsum_shift.double()
sine_waves = torch.sin(torch.cumsum(rad_values + cumsum_shift, dim=1) * 2 * np.pi)
if is_half:
sine_waves = sine_waves.half()
Expand Down