{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/cooper-a-library-for-constrained-optimization","title":"Cooper: A Library for Constrained Optimization in Deep Learning","arxiv_id":"2504.01212","date":"2025-04-01","proceeding":null,"authors":["Jose Gallego-Posada","Juan Ramirez","Meraj Hashemizadeh","Simon Lacoste-Julien"],"abstract":"Cooper is an open-source package for solving constrained optimization problems involving deep learning models. Cooper implements several Lagrangian-based first-order update schemes, making it easy to combine constrained optimization algorithms with high-level features of PyTorch such as automatic differentiation, and specialized deep learning architectures and optimizers. Although Cooper is specifically designed for deep learning applications where gradients are estimated based on mini-batches, it is suitable for general non-convex continuous constrained optimization. Cooper's source code is available at https://github.com/cooper-org/cooper.","url_abs":"https://arxiv.org/abs/2504.01212v1","url_pdf":"https://arxiv.org/pdf/2504.01212v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"cooper-a-library-for-constrained-optimization","repo_url":"https://github.com/cooper-org/cooper","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2504.01212","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2504.01212"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/cooper-org/cooper","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"unverified":3},"by_repo_kind":{"official":{"samples":3,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"c7a67c5fb4f7d341","entry":"build_dual_optimizer","repo":"cooper-org/cooper","repo_kind":"official","path":"testing/cooper_helpers.py","file_url":"https://github.com/cooper-org/cooper/blob/HEAD/testing/cooper_helpers.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c7a67c5fb4f7d341"}},{"code_sha256_prefix":"654dee0987aef75d","entry":"compute_dual_weighted_violation","repo":"cooper-org/cooper","repo_kind":"official","path":"src/cooper/formulations/utils.py","file_url":"https://github.com/cooper-org/cooper/blob/HEAD/src/cooper/formulations/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"654dee0987aef75d"}},{"code_sha256_prefix":"a699c0dabf364872","entry":"compute_primal_weighted_violation","repo":"cooper-org/cooper","repo_kind":"official","path":"src/cooper/formulations/utils.py","file_url":"https://github.com/cooper-org/cooper/blob/HEAD/src/cooper/formulations/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a699c0dabf364872"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}