mirror of
https://github.com/hykilpikonna/SpeechGenderAnalysis.git
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70 lines
1.4 KiB
Markdown
70 lines
1.4 KiB
Markdown
# SpeechGenderAnalysis
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## Setup
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### MacOS
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#### 1. Setup Python:
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```sh
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python3.8 -m venv venv8
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source venv8/bin/activate
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pip3 install -r requirements-mac.txt
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```
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#### 2. Configure `plaidml` to use GPU:
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```sh
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plaidml-setup
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```
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#### 3. Configure environment variables in the run script:
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```sh
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export KERAS_BACKEND="plaidml.keras.backend"
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export tg_token="Your telegram token here"
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```
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### Windows (CUDA)
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#### 1. Setup Python
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```powershell
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python3.9 -m venv venv
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.\venv\Scripts\activate
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pip install -r requirements-win-cuda.txt
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```
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#### 2. Install CUDA
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* Install NVIDIA Drivers: https://www.nvidia.com/drivers
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* Install CUDA **11.2** (for TensorFlow 2.7.0): https://developer.nvidia.com/cuda-toolkit-archive
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* Download cuDNN **8.1**: https://developer.nvidia.com/rdp/cudnn-archive
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* Copy folders in `cudnn-11.2-windows-x64-v8.1.1.33\cuda` to `C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2`
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* Restart IntelliJ IDEA
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#### 3. Check Device List
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```shell
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python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"
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```
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### Arch Linux (CUDA)
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#### Install CUDA
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```shell
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yay -S downgrade
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sudo pacman -S tensorflow-cuda
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sudo downgrade 'cuda=11.2.2' 'cudnn=8.1.1.33'
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```
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#### Python (3.9.11)
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```sh
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python -m venv venv
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source ./venv/bin/activate
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pip install -r requirements-win-cuda.txt
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python -c "from tensorflow.python.client import device_lib; print(device_lib.list_local_devices())"
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```
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