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Universal Tensor Operations in Einstein-Inspired Notation

einx is a Python library that provides a universal interface to formulate tensor operations in frameworks such as Numpy, PyTorch, Jax and Tensorflow. The design is based on the following principles:

Provide a set of elementary tensor operations following Numpy-like naming:

 einx.{sum|max|where|add|dot|flip|get_at|...}

Use einx notation to express vectorization of the elementary operations. einx notation is inspired by einops, but introduces several novel concepts such as []-bracket notation and full composability that allow using it as a universal language for tensor operations. einx can be integrated and mixed with existing code seamlessly. All operations are just-in-time compiled into regular Python functions using Python's exec() and invoke operations from the respective framework.

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