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Device Placement Optimization with Reinforcement Learning.

, , , , , , , , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2430-2439. PMLR, (2017)

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