Skip to main content

Implementation of various functional and class 4D methods compatible with PyTorch

Project description

PyTorch4D

A set of Pytorch compatible modules for use with 4D tensors

Python build & test


PyTorch4D

4D Layers and Functions Compatible with PyTorch
· Report Bug · Request Feature

Table of Contents
  1. About The Project
  2. Getting Started
  3. Roadmap
  4. License
  5. Authors

About The Project

Python package for 4d layers to be used on tensors of shape (batch_size, channel, k, d, h, w). I am new to packaging and distributing software in this manner--especially ML packages--so please go easy on me.

Getting Started

Using this package should be fairly simple!

Installation

   $ pip install torch4d

Once you've installed the package and once in Python, make sure to import:

   from torch4d.torch4d import MaxPool4d, DropBlock4d

Alternatively, you can use the functions defined in torch4d.functional by importing

   from torch4d.functional import max_pool4d, drop_block4d

Roadmap

See the open issues for a list of proposed features (and known issues).

License

Distributed under the GNU General Public License. See LICENSE for more information.

Authors

Your Name - firasbdarwish - fbd2014@nyu.edu

Project Link: https://github.com/FirasBDarwish/PyTorch4D

Thank you

Project details


Download files

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

Source Distribution

torch4d-0.1.2.tar.gz (43.4 kB view details)

Uploaded Source

Built Distribution

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

torch4d-0.1.2-py3-none-any.whl (30.2 kB view details)

Uploaded Python 3

File details

Details for the file torch4d-0.1.2.tar.gz.

File metadata

  • Download URL: torch4d-0.1.2.tar.gz
  • Upload date:
  • Size: 43.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.7

File hashes

Hashes for torch4d-0.1.2.tar.gz
Algorithm Hash digest
SHA256 6d94079d16fc02b742e995acf716625dd8e63e9d41c3200a00071e4918a845af
MD5 e7c2d24569312598d9442d143522c761
BLAKE2b-256 a687599153fc6808fbe48d7673fd64cf42f14ed454f3e57e6024d654c229896e

See more details on using hashes here.

File details

Details for the file torch4d-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: torch4d-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 30.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.9.7

File hashes

Hashes for torch4d-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 39ee46e8fc284bfaca050cb8fee8302025f427a952f2404dee394aa9e09b0636
MD5 01d53188b89098dccec09766b25af3c3
BLAKE2b-256 c60d8664d83ae4bdb0cb45543ba0ed25d090ca7e36c48e50042ab0fdf66f5935

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