py310-opt_einsum (python/py-opt_einsum) Updated: 2 years, 5 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
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19 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.12 206321 2022-11-19 13:49:22 0:01:55 63642 build successful
10.6.x86_64 128023 2022-11-19 13:48:05 0:02:43 37401 build successful
10.6 93193 2022-11-19 13:44:08 0:01:47 37371 build successful
12.arm64 72904 2022-11-19 13:37:00 0:00:29 14182 build successful
10.6.x86_64 112068 2022-06-17 18:40:05 0:02:35 32072 build successful
10.13 152388 2022-06-01 4:25:25 0:00:52 49834 build successful
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10.11 183724 2022-06-01 1:19:23 0:01:06 58944 build successful
10.7 101034 2022-05-31 22:54:14 0:00:25 31250 build successful
10.9 189893 2022-05-31 22:35:35 0:00:27 58519 build successful
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10.14 128880 2022-05-31 21:42:03 0:00:44 40606 build successful
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10.8 91301 2022-05-31 21:38:57 0:00:45 29302 build successful
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10.6 73903 2022-05-31 21:37:32 0:00:23 31451 failed install-dependencies
10.6.x86_64 107808 2022-05-31 21:36:26 0:00:19 31419 failed install-dependencies
10.12 188252 2022-05-31 21:28:26 0:00:27 57748 build successful
11.arm64 55542 2022-05-31 21:26:18 0:00:12 19439 build successful