Exploring the Transformer Series (16) --- Resource Consumption
Transformer parameter counts, memory usage, activations, FLOPs, KV cache, and optimization directions.
Transformer parameter counts, memory usage, activations, FLOPs, KV cache, and optimization directions.
Transformer training and inference in practice: teacher forcing, masks, dropout, label smoothing, learning rate scheduling, and parallelism.