py39-opt_einsum (python/py-opt_einsum) Updated: 6 months ago Add to my watchlist

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.

Version: 3.3.0 License: MIT GitHub
Displaying statistics for 774 users who made submissions during: until

Statistics for selected duration

2022-Oct-30 to 2022-Nov-29


Total Installations 7
Requested Installations 0


macOS Versions

Loading Chart

Port Versions

Loading Chart



Xcode Versions

Loading Chart

CLT Versions

Loading Chart



Variants table

Variants Count


Monthly Statistics

Can remain cached for up to 24 hours