ci not required

This commit is contained in:
James Betker 2022-06-06 09:26:25 -06:00
parent 08597bfaf5
commit 5028703b3d

View File

@ -253,7 +253,7 @@ class TransformerDiffusionWithQuantizer(nn.Module):
self.quantizer.min_gumbel_temperature,
)
def forward(self, x, timesteps, truth_mel, conditioning_input, disable_diversity=False, conditioning_free=False):
def forward(self, x, timesteps, truth_mel, conditioning_input=None, disable_diversity=False, conditioning_free=False):
quant_grad_enabled = self.internal_step > self.freeze_quantizer_until
with torch.set_grad_enabled(quant_grad_enabled):
proj, diversity_loss = self.quantizer(truth_mel, return_decoder_latent=True)