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PyTorch: An Imperative Style, High-Performance Deep Learning Library, , , , , , , , , и 11 other автор(ы). Advances in Neural Information Processing Systems 32, Curran Associates, Inc., (2019)CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research., , , , , , , , , и 2 other автор(ы). CoRR, (2021)A graph neural network-based performance model for deep learning applications., , , и . MAPS@PLDI, стр. 11-20. ACM, (2022)Value Learning for Throughput Optimization of Deep Learning Workloads., , , и . MLSys, mlsys.org, (2021)MODeL: Memory Optimizations for Deep Learning., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 32618-32632. PMLR, (2023)Device Placement Optimization with Reinforcement Learning., , , , , , , , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 2430-2439. PMLR, (2017)SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems., , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10034-10052. PMLR, (2023)Local Branching Relaxation Heuristics for Integer Linear Programs., , , , и . CPAIOR, том 13884 из Lecture Notes in Computer Science, стр. 96-113. Springer, (2023)Learning Space Partitions for Path Planning., , , , , , , , и . NeurIPS, стр. 378-391. (2021)PyTorch: An Imperative Style, High-Performance Deep Learning Library., , , , , , , , , и 11 other автор(ы). NeurIPS, стр. 8024-8035. (2019)