fix unused parameters
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@ -214,6 +214,10 @@ class TransformerDiffusionWithQuantizer(nn.Module):
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self.total_codes = 0
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del self.m2v.m2v.encoder
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del self.m2v.reconstruction_net
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del self.m2v.m2v.projector.projection
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del self.m2v.project_hid
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del self.m2v.project_q
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def update_for_step(self, step, *args):
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self.internal_step = step
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@ -224,7 +228,7 @@ class TransformerDiffusionWithQuantizer(nn.Module):
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def forward(self, x, timesteps, truth_mel, conditioning_input, conditioning_free=False):
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proj = self.m2v.m2v.input_blocks(truth_mel).permute(0,2,1)
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_, proj = self.m2v.m2v.projector(proj)
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proj = self.m2v.m2v.projector.layer_norm(proj)
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vectors, _, probs = self.m2v.quantizer(proj, return_probs=True)
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self.log_codes(probs)
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return self.diff(x, timesteps, codes=vectors, conditioning_input=conditioning_input, conditioning_free=conditioning_free)
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