Make feature encoder a bit more descriptive
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@ -366,8 +366,9 @@ class Mel2Vec(nn.Module):
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self.input_blocks = nn.Sequential(nn.Conv1d(mel_input_channels, inner_dim//2, kernel_size=5, padding=2, stride=2),
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nn.GroupNorm(num_groups=8, num_channels=inner_dim//2, affine=True),
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nn.SiLU(),
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nn.Conv1d(inner_dim//2, inner_dim, kernel_size=3, padding=1, stride=2),
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nn.GroupNorm(num_groups=8, num_channels=inner_dim, affine=True),
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nn.Conv1d(inner_dim//2, inner_dim, kernel_size=3, padding=1, stride=2),
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nn.SiLU(),
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nn.Conv1d(inner_dim, inner_dim, kernel_size=3, padding=1),
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nn.SiLU(),
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)
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self.projector = Mel2Vec2FeatureProjection(inner_dim, dropout)
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