SuyashParmar opened a new pull request, #1068: URL: https://github.com/apache/mahout/pull/1068
This PR adds a ready-to-run Jupyter Notebook : qdp/qdp-python/benchmark/notebooks/mahout_qdp_tutorial.ipynb designed specifically for Google Colab. Key Features: Automated Setup: Includes cells to install Rust and build the QDP package from source directly in the Colab environment (no manual setup required). Interactive Walkthrough: Demonstrates Engine initialization, data encoding (Lists, NumPy, PyTorch), and GPU acceleration. PyTorch Integration: Shows how to perform zero-copy transfer of quantum states to PyTorch tensors. How to Test: Upload the notebook to Google Colab (using a T4 GPU runtime) and run all cells. It validates the end-to-end workflow from installation to execution. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
