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Fix for tts6

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This commit is contained in:
James Betker 2022-02-05 16:00:14 -07:00
parent 5ae816bead
commit 65a546c4d7
1 changed files with 0 additions and 17 deletions
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17
codes/models/gpt_voice/unet_diffusion_tts6.py
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@ -364,23 +364,6 @@ class DiffusionTts(nn.Module):
zero_module(conv_nd(dims, model_channels, out_channels, kernel_size, padding=padding)), zero_module(conv_nd(dims, model_channels, out_channels, kernel_size, padding=padding)),
) )
def load_state_dict(self, state_dict: 'OrderedDict[str, Tensor]',
strict: bool = True):
# Temporary hack to allow the addition of nil-guidance token embeddings to the existing guidance embeddings.
lsd = self.state_dict()
revised = 0
for i, blk in enumerate(self.input_blocks):
if isinstance(blk, nn.Embedding):
key = f'input_blocks.{i}.weight'
if state_dict[key].shape[0] != lsd[key].shape[0]:
t = torch.randn_like(lsd[key]) * .02
t[:state_dict[key].shape[0]] = state_dict[key]
state_dict[key] = t
revised += 1
print(f"Loaded experimental unet_diffusion_net with {revised} modifications.")
return super().load_state_dict(state_dict, strict)
def forward(self, x, timesteps, tokens=None, conditioning_input=None, lr_input=None): def forward(self, x, timesteps, tokens=None, conditioning_input=None, lr_input=None):
""" """