No project description provided
Project description
Tensor Canvas
A 2D graphics library for drawing directly onto tensors.
Takes advantage of eagerpy to support a uniform API for pytorch, tensorflow, jax, and numpy backends.
Tensor Canvas uses SDF representations for easy implementation in gpu-accelerated frameworks.
Highly inefficient compared to standard gpu rendering, but much better than matplotlib. Integration with ML frameworks also means it is fully-differentiable.
Example
import tensorcanvas as tc
import pytorch
import tensorflow
import numpy
Notebook Example
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tensor-canvas-0.1.tar.gz
(2.0 kB
view hashes)
Built Distribution
Close
Hashes for tensor_canvas-0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cf2aebedd6c45965922a0650ebe8d1966fc9be0df2747b85a110a04163e86aeb |
|
MD5 | a0c84e40f76dbaa4d172a89c0d68e48a |
|
BLAKE2b-256 | e22267fc126c8f11561b2507bf771014fce52feb670f3894e338deb24f71ad5c |