Sample List

**Table 1** Sample list
Framework	Features	How to Obtain
PyTorch	Accuracy-based Automatic Quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Uniform quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Non-Uniform Quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Performs quantization aware training.	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Auto channel pruning search	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Filter-Level Sparsity	Click Gitee to obtain the sample code. Perform operations by referring to README.
	2:4 structured sparsity	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Compression combination	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Tensor Decomposition	Click Gitee to obtain the sample code. Perform operations by referring to README.
	QAT in single-operator mode	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Layer-wise Distillation	Click Gitee to obtain the sample code. Perform operations by referring to README.
	KV Cache Quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
ONNX	CLI-based quantization PTQ using the CLI QAT model adaptation to CANN format using the CLI	Click Gitee to obtain the sample. For details, see README.
	Accuracy-based Automatic Quantization	Click Gitee to obtain the sample and see README to perform accuracy-based automatic quantization.
	Uniform quantization	Click Gitee to obtain the sample. For details, see README.
	Non-Uniform Quantization	Click Gitee to obtain the sample. For details, see README.
	QAT Model Adaptation to CANN Format	Click Gitee to obtain the sample and convert the QAT model into a CANN model by referring to README.
TensorFlow	CLI-based quantization PTQ using the CLI QAT model adaptation to CANN format using the CLI	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Accuracy-based Automatic Quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Uniform quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Non-Uniform Quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Performs quantization aware training.	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Auto channel pruning search	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Filter-level sparsity (manual sparsity)	Click Gitee to obtain the sample code. Perform operations by referring to README.
	2:4 structured sparsity	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Compression combination	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Tensor Decomposition	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Model adaptation using convert_model API	Click Gitee to obtain the sample code. Perform operations by referring to README.
	QAT Model Adaptation to CANN Format	Click Gitee to obtain the sample code. Perform operations by referring to README.
Caffe	CLI-based quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Accuracy-based Automatic Quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Uniform quantization	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Non-Uniform Quantization	Automatic non-uniform quantization: Click Gitee to obtain the sample, and perform related operations by referring to README. Static non-uniform quantization: Click Gitee to obtain the sample, and perform related operations by referring to README.
	Performs quantization aware training.	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Tensor Decomposition	Click Gitee to obtain the sample code. Perform operations by referring to README.
	Model Adaptation	Click Gitee to obtain the sample code. Perform operations by referring to README.
TensorFlow,Ascend	mobilenetV2	Click Gitee, find the sample in the mobilenetv2 directory, and perform related operations by referring to the README file.
TensorFlow,Ascend	yolov3	Click Gitee, find the sample in the yolov3 directory, and perform related operations by referring to the README file.