This script uses PyTorch to train a simple neural network on the MNIST dataset. It performs the following steps:

1. Downloads the MNIST dataset.
2. Loads the entire dataset into GPU memory.
3. Trains a model for 10 epochs.
4. Collects and saves performance stats (time, accuracy, GPU usage, memory) to the stats/ directory in the project root.

• An NVIDIA GPU with CUDA.
• Python and Pip installed.
• Install dependencies:

  pip install torch psutil requests numpy

From the python/ directory, run:

python python.py