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Le encoder shalt always be frozen.

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This commit is contained in:
James Betker 2022-06-23 11:34:46 -06:00
parent aeff1a4cc7
commit b210e5025c
1 changed files with 2 additions and 2 deletions
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codes/models/audio/music/transformer_diffusion12.py
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@ -520,7 +520,7 @@ class TransformerDiffusionWithMultiPretrainedVqvae(nn.Module):
class TransformerDiffusionWithCheaterLatent(nn.Module):
def __init__(self, freeze_encoder_until=50000, **kwargs):
def __init__(self, freeze_encoder_until=None, **kwargs):
super().__init__()
self.internal_step = 0
self.freeze_encoder_until = freeze_encoder_until
@ -530,7 +530,7 @@ class TransformerDiffusionWithCheaterLatent(nn.Module):
def forward(self, x, timesteps, truth_mel, conditioning_input=None, disable_diversity=False, conditioning_free=False):
unused_parameters = []
encoder_grad_enabled = self.internal_step > self.freeze_encoder_until
encoder_grad_enabled = self.freeze_encoder_until is not None and self.internal_step > self.freeze_encoder_until
if not encoder_grad_enabled:
unused_parameters.extend(list(self.encoder.parameters()))
with torch.set_grad_enabled(encoder_grad_enabled):