VZ-PyTorch

Installation

Run the setup script to create a virtual environment and install the vz-logger CLI using npm.

> bash setup.sh

Requirements:

• python3.7: Python version 3.7 or higher.
• virtualenv: Python virtual environment creator.
• npm: Node.js package manager to install @vizstack/vz-logger (CLI tool).

Usage

In a terminal, start the logger, then open the logging UI in your browser at http://localhost:4000.

> vz-logger

Enter the virtual environemnt and run any of the example scripts:

> source venv/bin/activate
(venv) > python3 examples/feedforward.py

Examples:

• feedforward.py: Feedforward model and basic logging.
• transformer.py: Transformer model and basic logging.
• resnet.py: Built-in model from torchvision.
• lstm.py: LSTM model and advanced logging (temporal axes, tensor naming, tagging with plots).
• tensorboard.py: Compare to TensorBoard aesthetics and features.
• other-logging.py: Logging diverse kinds of visualizations (graph, text, plots).

Code

The main project code for this hackathon can be found at:

• vz-pytorch (https://github.com/vizstack/vz-pytorch)

The project also builds upon our other open-source projects:

• vizstack (https://github.com/vizstack/vizstack)
• vz-logger (https://github.com/vizstack/vz-logger)