v 3.3.0 Updated: 6 months ago

A tensor contraction order optimizer.

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.

To install py310-opt_einsum, paste this in macOS terminal after installing MacPorts

sudo port install py310-opt_einsum

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Installations 6
Requested Installations 2