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input_embeddings, attn_mask=attention_mask) residual_output = input_embeddings + self.dropout1(attention_output) normalized_output1 = self.layer_norm1(residual_output) feedforward_output = self.feedforward2(F.relu(self.feedforward1(normalized_output1))) residual_output = normalized_output1 +