套件：python3-einx（0.3.0-1）
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.
其他與 python3-einx 有關的套件
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-frozendict
- immutable dictionary
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- dep: python3-numpy
- Python library for numerical computations (Python 3)
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- dep: python3-sympy
- Computer Algebra System (CAS) in Python (Python 3)
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- sug: python3-torch
- Tensors and Dynamic neural networks in Python (Python Interface)