Overview

In ONNX scenarios, only accuracy comparison of non-quantized models is supported. The following table lists the input data to be prepared.

**Table 1** Input data requirements for comparison between a non-quantized original model and a non-quantized offline model
File	Description	How to Obtain
.npy file of the non-quantized original model	Benchmark data	Preparing .npy Data of an ONNX Model
.json file generated by converting the offline model file using ATC	Operator mapping obtaining	Network-wide Information File
Dump data file of the non-quantized offline model running on the Ascend AI Processor	Data to be compared	In the offline inference scenario, the methods for obtaining the dump data of the NPU environment are the same for different frameworks. For details, see the following: Preparing Dump Data of an Offline Model

Parent topic: Comparison Between GPU and NPU (ONNX Offline Inference)