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Created with Raphaël 2.2.029May25222120181715141312111083127Apr2625232120191817151413121110987654131Mar302928272625242320191716151312109876542128Feb2726252423222019181513111098765432131Jan3029282726252423222120191816151198743231Dec29272625242322191817151413116543130Nov2827252321181615141312111098632130Oct272625242221191817161514Add optimizer (#334)use caffe2.python.onnx.backend instead of onnx-caffe2 (#418)fix onnx frontend softplus bug (#413)[Keras] fix dropout bug (#399)[FIX] several bugs found when using NNVM (#391)Documentation errors updated (#392)fix tutorial build (#390)[OP] Experimental assign op (#389)Add end-to-end SGX ResNet inference example (#388)[DOCS] add a solution to installation error because of the old submodule (#384) Sum operator for ONNX. (#386)WebGL end-to-end example (#369)[FRONTEND] fix same var used in single op (#383)Make compiler more robust (#378)Initial NHWC layout support (#376)[NHWC] InferShape Layout conversion fix. (#372)[Compilation Warning Fix]Enum constant in boolean context (#365)Move dense compute back to python (#364)Change TOPI ops to use C++ implementation where applicable (#357)[Compilation Warning Fix] in matrix_op.cc (#356)[PYLINT FIX]pylint issue fixes (#348)image tranform runtime wrong on python (#354)improved empty set definition (#346)[FIX] Fix target in tutorial (#347)[Convolution] Error while importing onnx model with weights. (#345)explain 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)