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self.output_softmax = nn.LogSoftmax(dim=-1) def forward(self, input_indices): embeddings = self.word_embeddings(input_indices) embeddings_with_positions = self.positional_encoding(embeddings) decoder_output = embeddings_with_positions for decoder_layer in self.decoder_layers: attention_mask =