Gpt, Transformer, Pytorch, Multi Head Attention, Decoder.
2*d_model dropout = 0.1 num_layers = 10 context_length = 50 batch_size = 1 # Initialize the model model = TransformerDecoder(vocab_size, d_model, num_heads, ff_hidden_layer, dropout) # Create a tensor representing batch size and context length input_tensor = torch.randint(0, vocab_size,