[+] Windows setup guide
This commit is contained in:
@@ -23,9 +23,33 @@ pip3 install -r requirements-mac.txt
|
||||
plaidml-setup
|
||||
```
|
||||
|
||||
4. Configure environment variables:
|
||||
4. Configure environment variables in the run script:
|
||||
|
||||
```sh
|
||||
export KERAS_BACKEND="plaidml.keras.backend"
|
||||
export tg_token="Your telegram token here"
|
||||
```
|
||||
|
||||
### Windows (CUDA)
|
||||
|
||||
1. Setup Python
|
||||
|
||||
```powershell
|
||||
python3.9 -m venv venv
|
||||
.\venv\Scripts\activate
|
||||
pip install -r requirements-win-cuda.txt
|
||||
```
|
||||
|
||||
2. Install CUDA
|
||||
|
||||
* Install NVIDIA Drivers: https://www.nvidia.com/drivers
|
||||
* Install CUDA **11.2** (for TensorFlow 2.7.0): https://developer.nvidia.com/cuda-toolkit-archive
|
||||
* Download cuDNN **8.1**: https://developer.nvidia.com/rdp/cudnn-archive
|
||||
* Copy folders in `cudnn-11.2-windows-x64-v8.1.1.33\cuda` to `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2`
|
||||
* Restart IntelliJ IDEA
|
||||
|
||||
3. Check Device List
|
||||
|
||||
```shell
|
||||
python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"
|
||||
```
|
||||
|
||||
Reference in New Issue
Block a user