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Update README.md

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@ -96,7 +96,6 @@ Jittor environment requirements:
| OS | CPU | Python | Compiler | (Optional) GPU platform |
|--------------------------------------------------------|-------------------------------------|--------|--------------|---------------------------------------------|
| Linux<br>(Ubuntu, CentOS, Arch, <br>UOS, KylinOS, ...) | x86 <br>x86_64 <br>ARM <br>loongson | >= 3.7 | g++ >=5.4 | Nvidia CUDA >= 10.0, [cuDNN](https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#installlinux-tar) <br> or [AMD ROCm](https://docs.amd.com/) >= 4.0 <br> or [Hygon DCU DTK](https://tycloud.hpccube.com/doc/1.0.6/11277/general-handbook/software-tutorial/jittor.html) >= 22.04 |
| macOS <br>(>= 10.14 Mojave) | intel<br>Apple Silicon | >= 3.7 | clang >= 8.0 | - |
| Windows 10 & 11 | x86_64 | [>= 3.8](https://www.python.org/downloads/windows/) | - | Nvidia CUDA >= 10.2 [cuDNN](https://docs.nvidia.com/deeplearning/cudnn/install-guide/index.html#install-windows) |
@ -116,25 +115,6 @@ python3.7 -m jittor.test.test_example
### macOS install
Please first install additional dependencies with [homebrew](https://brew.sh).
```bash
brew install libomp
```
Then you can install jittor through pip and run the example.
```bash
python3.7 -m pip install jittor
python3.7 -m jittor.test.test_example
```
Currently jittor only supports CPU on macOS.
### Windows install