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-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.