News

IEEE28d
Parallel Multistep Evaluation With Efficient Data Utilization for Safe Neural Critic Control and Its Application to Orbital Maneuver Systems - IEEE Xplore
Data-driven methods have significantly advanced optimal learning control, but some approaches overlook systematic considerations of data utilization, ... Parallel Multistep Evaluation With Efficient ...
IEEE28d
Parallel Multistep Evaluation With Efficient Data Utilization for Safe Neural Critic Control and Its Application to Orbital Maneuver Systems - IEEE Xplore
Data-driven methods have significantly advanced optimal learning control, but some approaches overlook systematic considerations of data utilization, including Parallel Multistep Evaluation With ...
GitHub23d
Convert to markdown: distributed.rst, distributed.tensor.parallel.rst, distributed.tensor.rst, distributions.rst, dlpack.rst · Issue #155019 · pytorch/pytorch - GitHub
📄 Preview Python docs built from this PR in the pytorch-bot comment. Make sure your PR is tagged with docathon-h1-2025, module: docs, topic: not user facing, and topic: docs labels. Compare the ...
GitHub18d
GitHub - PrincetonUniversity/multi_gpu_training
The material in this repo demonstrates multi-GPU training using PyTorch. Part 1 covers how to optimize single-GPU training. The necessary code changes to enable multi-GPU training using the ...