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The aim of the project is to enhance the sage.tensor implementation by expending it to handle multidimensional tensor and creating different implementation of the Components class where the component is stored in numpy.nparray and torch.tensor. We will also create a method to convert tensors between Sage and SymPy.
Description:
Keep track of the GSoC project Tensor operations in Sage using Python libraries as backends
The aim of the project is to enhance the sage.tensor implementation by expending it to handle multidimensional tensor and creating different implementation of the Components class where the component is stored in numpy.nparray and torch.tensor. We will also create a method to convert tensors between Sage and SymPy.
Mentor: @mkoeppe
Relevant Issues and Pull requests:
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