Skip to main content

Python package for visualizing PyTorch models

Project description

PyTorch Model Visualizer

Introduction

This library is a Python tool designed to help machine learning practitioners and researchers visualize the architecture of PyTorch models. By representing each layer as a colored block, it offers a clear and intuitive understanding of a model's structure, aiding in analysis and debugging.

Features

  • Visualize PyTorch model layers as colored blocks.
  • Customize the maximum number of layers per subplot.
  • Easy integration into PyTorch workflows.

Installation

This tool requires Python and PyTorch, along with Matplotlib for visualization. Ensure these are installed in your environment: pip install vilpi

Warning

This library is designed for small models, so do not use it for large models.

Required Libraries for visualisation

pip install matplotlib

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vilpi-0.1.tar.gz (2.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vilpi-0.1-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file vilpi-0.1.tar.gz.

File metadata

  • Download URL: vilpi-0.1.tar.gz
  • Upload date:
  • Size: 2.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for vilpi-0.1.tar.gz
Algorithm Hash digest
SHA256 25ec735882c302fa37150913b9ecea052c049cdbdf92f22e91e890f84a683680
MD5 ff26126f7a18fcf1d8f5f680e1be1ff4
BLAKE2b-256 f59d86e3a947f423467ecdb068dd80447fe8d96281be36ec92c001b53823ff18

See more details on using hashes here.

File details

Details for the file vilpi-0.1-py3-none-any.whl.

File metadata

  • Download URL: vilpi-0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for vilpi-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 1cd16f05b1ad2e41e4e28c9b3be2e62903667a0a59710a5201f301e7f79d2355
MD5 c3e27662a569de84ab852297d0c17b39
BLAKE2b-256 16ec6fb4747b3cca297ba761918baac7588d36bcfc8d50004cb6984256be4aa2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page