py39-opt_einsum (python/py-opt_einsum) Updated: 2 years, 5 months ago Add to my watchlist 0

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.

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.

+ Show more

GitHub

• Details
• Builds
• Installation Stats
• Trac Tickets
• Report an Issue with this port
• API
• Stats FAQ

Statistics for selected duration

2024-Oct-23 to 2024-Nov-22

Variants table

Monthly Statistics

Can remain cached for up to 24 hours