python3-opt-einsum - Optimizing numpys einsum function
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. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
compiled for Python3.8 noarch
sha256sum filename:
6428272442a287c712c7d68f73454c6c67925d23edeb0beac698558e68ee4b9d python3-opt-einsum-3.3.0-0.noarch.rpm
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python3-opt-einsum-3.3.0-0.noarch.rpm | 113.14 KB | 14/03/2023 - 00:04 |
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