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Let DAC model can be deepcopy #82

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2 changes: 1 addition & 1 deletion dac/model/discriminator.py
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Expand Up @@ -5,7 +5,7 @@
from audiotools import ml
from audiotools import STFTParams
from einops import rearrange
from torch.nn.utils import weight_norm
from torch.nn.utils.parametrizations import weight_norm


def WNConv1d(*args, **kwargs):
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4 changes: 1 addition & 3 deletions dac/nn/layers.py
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@@ -1,9 +1,7 @@
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from torch.nn.utils import weight_norm
from torch.nn.utils.parametrizations import weight_norm


def WNConv1d(*args, **kwargs):
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1 change: 0 additions & 1 deletion dac/nn/quantize.py
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Expand Up @@ -5,7 +5,6 @@
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from torch.nn.utils import weight_norm

from dac.nn.layers import WNConv1d

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2 changes: 1 addition & 1 deletion requirements.txt
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Expand Up @@ -2,7 +2,7 @@ argbind>=0.3.7
descript-audiotools>=0.7.2
einops
numpy
torch
torch>= 2.1.0
torchaudio
tqdm
tensorboard
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