Transformer network topology diagram

This is a transformer network topology diagram, designed to illustrate the intricate architecture of a transformer model. The diagram encompasses various components such as FullAttention, EncoderLayer, and Prediction HeadLinear, highlighting the flow and interaction between them. Key elements like LayerNorm, CNNConv1d, and PositionalEmbedding are integrated to enhance model performance. The structure also includes Dropout for regularization, Gelu for activation, and PatchEmbedding for input processing. This diagram serves as a comprehensive guide to understanding the layered complexity of transformer networks, providing valuable insights into their operational dynamics.