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dropout_rate=0.1, max_sequence_length=5000): super(PositionalEncoding, self).__init__() self.dropout = nn.Dropout(p=dropout_rate) positional_encodings = torch.zeros(max_sequence_length, embedding_dimension) positions = torch.arange(0, max_sequence_length, dtype=torch.float).unsqueeze(1) div_term =