mrq/DL-Art-School
1
3
Fork 5
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Initialize our embeddings the same way GPT-2 initializes theirs.

Browse Source
This commit is contained in:
James Betker 2021-12-26 00:20:30 -07:00
parent 8d01f7685c
commit cd89e6b42e
1 changed files with 6 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
codes/models/gpt_voice/unified_voice.py
View File

@ -89,6 +89,12 @@ class UnifiedGptVoice(nn.Module):
self.mel_head = nn.Linear(model_dim, self.number_mel_codes) self.mel_head = nn.Linear(model_dim, self.number_mel_codes)
self.max_conditioning_length = max_conditioning_length self.max_conditioning_length = max_conditioning_length
# Initialize the embeddings per the GPT-2 scheme
for module in [self.text_embedding, self.text_pos_embedding, self.mel_pos_embedding]:
module.weight.data.normal_(mean=0.0, std=self.gpt.config.initializer_range)
if module.padding_idx is not None:
module.weight.data[module.padding_idx].zero_()
def build_aligned_inputs_and_targets(self, input, start_token, stop_token): def build_aligned_inputs_and_targets(self, input, start_token, stop_token):
inp = F.pad(input, (1,0), value=start_token) inp = F.pad(input, (1,0), value=start_token)
tar = F.pad(input, (0,1), value=stop_token) tar = F.pad(input, (0,1), value=stop_token)