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Created with Raphaël 2.2.029May25222120181715141312111083127Apr2625232120191817151413121110987654131Mar302928272625242320191716151312109876542128Feb2726252423222019181513111098765432131Jan3029282726252423222120191816151198743231Dec29272625242322191817151413116543130Novexplain the lowering process in nnvm.compiler.build (#339)Add CacheItem2Schedule Extension (#338)[TUTORIAL] add extern lib tutorial (#331)Add test for issue #327 (#328)fix upsampling fuse pattern (#330)Fix keras frontend elementwise-ops for lists with len>2 (fixes issue #325) (#326)[TUTORIAL] add tutorial for mali gpu (#313)[NNVM] : Function header corrections. (#324) Explain how to generate module library in Quick Start tutorial (#323)[GRADIENT] Register more gradient operators (#300)[Keras] fix convert_pooling with same pad (#322)Update frontend for keras 2.1.3 compatibility (#314)[CI] turn on keras frontend test (#309)make shape inference of BatchNorm layout neutral (#301)Avoid crash when linear activation does not have alpha and beta defined (#306)remove dtype in model symbol (#310)Add support for keras upsampling (#305)Upsampling op support (#298)[WIP] Onnx1.0 (#294)Add __declspec(dllexport) to class Node and class Op if build on Wind… (#296)dump lowered IR when debug logging (#292)typo in c_api.h (#290)Add missing cmath header (#287)Make choice of archiver configurable (#288)[SYMBOL] Enable get index from symbol (#286)Add gradient graph (#280)[FIX] make keras frontend py3 compatible (#283)[GRADIENT] Add backward operator to enable backward graph (#276)Update deploy_model_on_rasp.pyAdd compile library tutorial (#277)keras frontend tutorial (#278)Keras Frontend (#273)Add support for missing uint types. (#272)[SYMBOL] Add __iter__ and GetChildren for symbol (#268)API call to get symbol output count (#270)[FRONTEND] Fix mxnet multi outputs (#271)Added support for CoreML Permute layers (#262)[CMPL] Add Support for Other Data Types (#252)fix onnx conv2d_transpose loading (#245)[FIX] Fix from_mxnet for multiple outputs symbol (#247)