PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.
Jason AnselEdward Z. YangHorace HeNatalia GimelsheinAnimesh JainMichael VoznesenskyBin BaoPeter BellDavid BerardEvgeni BurovskiGeeta ChauhanAnjali ChourdiaWill ConstableAlban DesmaisonZachary DeVitoElias EllisonWill FengJiong GongMichael GschwindBrian HirshSherlock HuangKshiteej KalambarkarLaurent KirschMichael LazosMario LezcanoYanbo LiangJason LiangYinghai LuC. K. LukBert MaherYunjie PanChristian PuhrschMatthias ResoMark SaroufimMarcos Yukio SiraichiHelen SukShunting ZhangMichael SuoPhil TilletXu ZhaoEikan WangKeren ZhouRichard ZouXiaodong WangAjit MathewsWilliam WenGregory ChananPeng WuSoumith ChintalaPublished in: ASPLOS (2) (2024)
Keyphrases
- machine learning
- programming language
- learning algorithm
- artificial intelligence
- pattern recognition
- text classification
- open source
- graph databases
- smart card
- random walk
- decision trees
- information extraction
- text mining
- data mining
- knn
- computer science
- reinforcement learning
- machine learning methods
- directed graph
- graph theory
- graph structure
- computer vision
- explanation based learning
- graph representation
- dynamic graph