remove mxnet in main page

Signed-off-by: chensuyue <[email protected]>

README.md

@@ -2,7 +2,7 @@
 
 Intel® Neural Compressor
 ===========================
-<h3> An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, ONNX Runtime, and MXNet)</h3>
+<h3> An open-source Python library supporting popular model compression techniques on all mainstream deep learning frameworks (TensorFlow, PyTorch, and ONNX Runtime)</h3>
 
 [![python](https://img.shields.io/badge/python-3.8%2B-blue)](https://github.com/intel/neural-compressor)
 [![version](https://img.shields.io/badge/release-3.0-green)](https://github.com/intel/neural-compressor/releases)
@@ -15,7 +15,7 @@ Intel® Neural Compressor
 ---
 <div align="left">
 
-Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [ONNX Runtime](https://onnxruntime.ai/), and [MXNet](https://mxnet.apache.org/),
+Intel® Neural Compressor aims to provide popular model compression techniques such as quantization, pruning (sparsity), distillation, and neural architecture search on mainstream frameworks such as [TensorFlow](https://www.tensorflow.org/), [PyTorch](https://pytorch.org/), [ONNX Runtime](https://onnxruntime.ai/),
 as well as Intel extensions such as [Intel Extension for TensorFlow](https://github.com/intel/intel-extension-for-tensorflow) and [Intel Extension for PyTorch](https://github.com/intel/intel-extension-for-pytorch).
 In particular, the tool provides the key features, typical examples, and open collaborations as below:
 

docs/source/CONTRIBUTING.md

@@ -51,7 +51,7 @@ And generally use [Azure Cloud Instance](https://azure.microsoft.com/en-us/prici
 |     Code Scan                 |     Bandit/CopyRight/DocStyle/SpellCheck       |     PASS          |
 |     [DCO](https://github.com/apps/dco/)     |     Use `git commit -s` to sign off     |     PASS          |
 |     Unit Test                 |     Pytest scripts under [test](/test)                |      PASS (No failure, No core dump, No segmentation fault, No coverage drop)      |
-|     Model Test                |     Pytorch + TensorFlow + ONNX Runtime + MXNet         |      PASS (Functionality pass, FP32/INT8 No performance regression)       |
+|     Model Test                |     Pytorch + TensorFlow + ONNX Runtime         |      PASS (Functionality pass, FP32/INT8 No performance regression)       |
 
 ## Support