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einops is a flexible and powerful library for manipulating the shapes of tensors in deep learning. It allows for intuitive and readable expressions to reshape, rearrange, and combine tensors, making it easier to implement complex neural network architectures.

Features of einops:

• Einops provides a simple and expressive syntax for tensor operations, improving code readability.
• It supports a wide range of tensor manipulations, including reshaping, reducing, and repeating.
• Compatible with popular deep learning frameworks like PyTorch and TensorFlow.

To check version , use the following command:

import einops
print(einops.__version__)

Disclaimer: einops is an open-source project distributed under applicable open-source licenses. It is not affiliated with, endorsed by, or sponsored by any company. einops is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to einops bear no responsibility for any damages, losses, or consequences resulting from the use of this software. Users are advised to carefully review and comply with licensing terms and any applicable regulations while using einops.