TensorBank is a collection of assorted algorithms expressed in Tensors so that they can be quickly executed on batched data in a variety of ML workflows.
Every function is supported in one or more of the following backends:
- TensorFlow via
import tensorbank.tf as tb - PyTorch via
import tensorbank.torch as tb(currently, 0 functions are supported). - NumPy via
import tensorbank.numpy as ntb(currently, 0 functions are supported).
Most funcions are designed to work with batched data to better utilize the GPU resources.
Here's a simple example:
import tensorbank.tf as tb
tb.axis_aligned_boxes.area(
[[1, 1, 2, 2],
[-1, -1, 1, 2]])
>>> tf.Tensor([1 6], shape=(2,), dtype=int32)./reference/index
genindexmodindexsearch