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@ -40,7 +40,7 @@ class TransformerEncoderAdapter(TransformerEncoder):
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self.adapters = ResidualAdapterModule()
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for p in self.adapters.parameters():
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#p.data = nn.Parameter(torch.zeros(p.size()).to('cuda'))
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p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/10000.)
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p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/100.)
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print(p)
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def forward(self, x, padding_mask=None, layer=None, tgt_layer=None):
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