This repository hosts a streamlined setup for Anaconda and PyCharm, tailored for rapid deployment on cloud GPU clusters. The aim is to enable immediate development in a robust environment.
The provided script automates the installation of Anaconda and PyCharm Professional, ensuring a ready-to-code setup. Key steps include:
- Anaconda Installation: The script downloads and installs the latest Anaconda distribution (Anaconda3-2023.09-0).
- Conda Environment Setup: It then creates a Conda environment named 'nlpenv' based on a predefined YAML file.
- PyCharm Professional Installation: PyCharm Professional is installed using Snap for an integrated development environment.
The script employs logging and error handling to ensure smooth installation. For full usage, refer to the script comments.
The installation-check.py script is a quick diagnostic tool that checks the following:
- PyTorch version
- CUDA availability and version
- cuDNN version
- Number of GPUs available and their details
This script helps verify if the environment is correctly set up for GPU-based development.
Currently, this repository is a foundational step towards supporting various fine-tuning tasks in NLP. It's kept public for easier cloning and sharing - yes, a bit of convenience on my part. Hopefully, it serves as a helpful resource for your projects too.