Optimized einsum can significantly reduce the overall execution time of
einsum-like expressions (e.g., np.einsum, dask.array.einsum, pytorch.einsum,
tensorflow.einsum, ) by optimizing the expression's contraction order and
dispatching many operations to canonical BLAS, cuBLAS, or other specialized
routines.
Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch,
Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as
potentially any library which conforms to a standard API.
misc/py-opt-einsum: remove duplicate port
Revert "misc/py-opt-einsum: New port: Optimized Einsum: A tensor contraction
order optimizer"
This reverts commit 8d4f6872f4ab415d384f83a769a1deabdf2a441c.
