optimize='hyper-spinglass'

In the following code: eq, shapes = oe.helpers.rand_equation(100, 3,d_min=2,d_max=2,seed=1) path, info = oe.contract_path(eq, *shapes, shapes=True, optimize='hyper-spinglass') I encountered “KeyError: “Path optimizer ‘auto-hq’ not found, valid options are {‘random-greedy’, ‘quickbb-2’, ‘flowcutter-60’, ‘branch-all’, ‘hyper-greedy’, ‘hyper-256’, ‘quickbb-10’, ‘flowcutter-10’, ‘hyper-betweenness’, ‘flowcutter-2’, ‘eager’, ‘greedy’, ‘auto’, ‘branch-1’, ‘dynamic-programming’, ‘quickbb-60’, ‘hyper’, ‘hyper-kahypar’, ‘branch-2’, ‘hyper-spinglass’, ‘dp’, ‘opportunistic’, ‘optimal’}.””

It seems that somehow in the core.py: ContractionTree.contract(), the optimize is still the default value ‘auto-hq’, instead of spinglass.

[jcmgray]

Hi sorry by ‘develop’ version I meant the latest (currently unreleased) version on github. You can either clone it to you computer and install it locally:

$ git clone https://github.com/dgasmith/opt_einsum.git
$ pip install -U -e opt_einsum/

The -U means update and the -e means editable - you can make changes and pull commits and when you reimport opt_einsum the changes will immediately come into effect.

Or you install directly from the github repo:

$ pip install -U git+https://github.com/dgasmith/opt_einsum.git

(in which case the version of opt_einsum will be frozen at the latest commit.)

[panzhang83]

Yes, installing the develop version of opt_einsum solved my problem. Thanks!