Before revision:  Model slicing could be viewed as an elastic computation solution without requiring more computation resources, but by slightly sacrificing prediction accuracy. In a nutshell, partially ordered relation is introduced to the basic components of each layer in the model , namely neurons in dense layers and channels in convolutional layers . Specifically, if one component participates in the forward pass , then all of its preceding components are also activated.
After revision:  Model slicing could be viewed as an elastic computation solution without requiring more computational resources. Succinctly, each layer in the model , namely neurons in dense layers and channels in convolutional layers . Specifically, if one component participates in the forward pass , then all of its preceding components are also activated.