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add Running on windows part and performance claim (#7)
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sustcLi authored Nov 22, 2022
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To execute the scripts provided in the reference kit, you will need to work on the Anaconda platform. Download and installation instructions for a Linux machine can be found [here](https://docs.anaconda.com/anaconda/install/linux/)

> **Note**: If you beginning to explore the reference kits on client machines such as a windows laptop, go to the [Running on Windows](#running-on-windows) section to ensure you are all set and come back here
> **Note**: The performance measurements were captured on Xeon based processors. The instructions will work on WSL, however some portions of the ref kits may run slower on a client machine, so utilize the flags supported to modify the epochs/batch size to run the training or inference faster. Additionally performance claims reported may not be seen on a windows based client machine.
Once Anaconda is installed, clone the git repository using the following command:
```shell
git clone https://www.github.com/oneapi-src/digital-twin
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**Operating System:**
We recommend using an Linux OS for executing the reference solution presented here, e.g. RHEL or Ubuntu.
### **Running on Windows**

The reference kits commands are linux based, in order to run this on Windows, goto Start and open WSL and follow the same steps as running on a linux machine starting from git clone instructions. If WSL is not installed you can [install WSL](https://learn.microsoft.com/en-us/windows/wsl/install).

> **Note** If WSL is installed and not opening, goto Start ---> Turn Windows feature on or off and make sure Windows Subsystem for Linux is checked. Restart the system after enabling it for the changes to reflect.
## **Notes**

**The dataset used here is synthetic. Intel Corporation does not own the rights to this data set and does not confer any rights to it.**
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