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@ -41,9 +41,9 @@ class TransformerEncoderAdapter(TransformerEncoder):
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super().__init__(args)
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self.adapters = ResidualAdapterModule()
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#for p in self.adapters.parameters():
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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')/50.)
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p.data = nn.Parameter(torch.randn(p.size()).to('cuda')/10.)
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def forward(self, x, padding_mask=None, layer=None, tgt_layer=None):
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x, layer_results = self.extract_features_with_adapter(
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