ICICLE-AI/ResourceEstimation_HLOGenCNN

HLO特征数据集是一个包含从深度学习训练工作负载中提取的高级优化器（HLO）图形特征和详细元数据的数据集。这些数据可用于机器学习方法，进行训练时间预测、资源消耗估计、高性能计算和GPU调度优化以及基于图的神经网络架构分析。

The HLO Feature Dataset is a collection of compiler-level graph features (HLO graphs) extracted from deep learning training workloads. It includes detailed metadata and is used for machine learning approaches such as training time prediction, resource consumption estimation, HPC and GPU scheduling optimization, and graph-based neural architecture analysis.