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Increase baseline codes recording across all dvae models

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This commit is contained in:
James Betker 2021-09-30 08:09:07 -06:00
parent f84ccbdfb2
commit 0396a9d2ca
3 changed files with 3 additions and 3 deletions
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2
codes/models/diffusion/diffusion_dvae.py
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@ -112,7 +112,7 @@ class DiffusionDVAE(nn.Module):
#self.quantizer = Quantize(quantize_dim, num_discrete_codes, balancing_heuristic=True)
self.quantizer = GumbelQuantizer(quantize_dim, quantize_dim, num_discrete_codes)
# For recording codebook usage.
self.codes = torch.zeros((131072,), dtype=torch.long)
self.codes = torch.zeros((1228800,), dtype=torch.long)
self.code_ind = 0
self.internal_step = 0
decoder_channels = [model_channels * channel_mult[s-1] for s in spectrogram_conditioning_levels]

2
codes/models/gpt_voice/attention_dvae.py
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@ -147,7 +147,7 @@ class AttentionDVAE(nn.Module):
self.normalization = normalization
self.record_codes = record_codes
if record_codes:
self.codes = torch.zeros((32768,), dtype=torch.long)
self.codes = torch.zeros((1228800,), dtype=torch.long)
self.code_ind = 0
self.internal_step = 0

2
codes/models/gpt_voice/lucidrains_dvae.py
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@ -142,7 +142,7 @@ class DiscreteVAE(nn.Module):
self.normalization = normalization
self.record_codes = record_codes
if record_codes:
self.codes = torch.zeros((32768,), dtype=torch.long)
self.codes = torch.zeros((1228800,), dtype=torch.long)
self.code_ind = 0
self.internal_step = 0