PyTorch4D
A set of Pytorch compatible modules for use with 4D tensors
PyTorch4D
4D Layers and Functions Compatible with PyTorch
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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
1 maintainer
Metadata
1 maintainer
Release files for torch4d 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torch4d-0.1.2.tar.gz | 43.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch4d-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 73.6 kB
Release files / torch4d-0.1.2.tar.gz
| Download URL | torch4d-0.1.2.tar.gz |
|---|---|
| Size | 43.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / torch4d-0.1.2-py3-none-any.whl
| Download URL | torch4d-0.1.2-py3-none-any.whl |
|---|---|
| Size | 30.2 kB |
| Tags | Python 3 |
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No |
| Uploaded via |
twine/5.1.0 CPython/3.9.7
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