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Fix inference mode for lucidrains_gpt

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This commit is contained in:
James Betker 2021-10-30 16:59:18 -06:00
parent 466b9fbcaa
commit df45a9dec2
1 changed files with 3 additions and 3 deletions
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codes/models/gpt_voice/lucidrains_gpt.py
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@ -228,9 +228,9 @@ class Transformer(nn.Module):
assert(len(prev_intermediates) == self.depth)
new_intermediates = []
for (attn, ff), (int_ff, int_out) in zip(self.layers.layers, prev_intermediates):
x = x + attn(x, only_last_two_elements=True)
x_ff = attn(x, only_last_two_elements=True)
# Note that (x) is now only the last two element in the set. Conjoin it with the int_ff latent to compute the norm.
x_ff = torch.cat([int_ff[:,:-1], x], dim=1)
x = x + ff(x_ff, only_last_two_elements=True)
x_ff = x + torch.cat([int_ff[:,:-1], x_ff], dim=1)
x = x_ff + ff(x_ff, only_last_two_elements=True)
new_intermediates.append((x_ff, x))
return x, new_intermediates