Deep learning system evaluation

My program is developed using the PyTorch framework for a deep learning system. Please help me evaluate the model design and performance of the system, such as whether various functions of PyTorch, such as tensor operations and automatic differentiation, are used reasonably, whether there are issues like model overfitting, slow training speed, and excessive memory consumption, and provide corresponding suggestions to optimize the model design and performance of the system.