Recurrent-skip layer 捕捉长期宏观依赖和周期性信息 ⚫ Autoregresssive 叠加线性比例关系 Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu LSTNet Python

model work in nonlinear settings By mapping data to higher dimensions where it exhibits linear patterns Apply the linear model in the new input space Mapping is equivalent to changing the feature representation

particular, by mapping the data into a higher-dimensional feature space where it exhibits linear patterns, we can employ the linear classification model in the new feature space. 8 Figure 3: Non-linear

RN-08516-001_v23.07 | 91 ‣ On H100 NVLink systems using 2 GPUs for training, certain communication patterns can trigger a corner-case bug that manifests either as a hang or as an "illegal instruction" exception