sage.tensor.modules: Add backends using TensorFlow Core, PyTorch, SymPy
Tensors from sage.tensor
are stored as sage.tensor.modules.Components
, which is a dictionary with index tuples as keys.
We propose to create additional backends for numerical coordinate rings:
They provide efficient storage and GPUaccelerated computations for numerical tensors.
For SymPy, see #31946
Change History (7)
Milestone: 
sage9.2 →
sage9.3

Milestone: 
sage9.3 →
sage9.4

Description: 
modified (diff)

Summary: 
sage.tensor.modules: Add backends using TensorFlow Core and PyTorch →
sage.tensor.modules: Add backends using TensorFlow Core, PyTorch, SymPy

Milestone: 
sage9.4 →
sage9.5

Milestone: 
sage9.5 →
sage9.6

Milestone: 
sage9.6 →
sage9.7

Milestone: 
sage9.7 →
sage9.8

Setting new milestone based on a cursory review of ticket status, priority, and last modification date.