Overview

Models trained under frameworks such as Caffe and TensorFlow can be converted into offline models compatible with the Ascend AI Processor by using the ATC. During offline model conversion, you can enable operator scheduling tuning, weight data rearrangement, and memory usage optimization, thereby preprocessing your models without depending on the device. Figure 1 shows the ATC architecture.

Figure 1 ATC architecture