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Created with Raphaël 2.2.029May25222120181715141312111083127Apr2625232120191817151413121110987654131Mar302928272625242320191716151312109876542128Feb2726252423222019181513111098765432131Jan3029282726252423222120191816151198743231Dec29272625242322191817151413116543130Nov2827252321181615141312111098632130Oct2726252422211918171615141312111098765432129Sep2827262524232221201817131211108765432cuda imagenet inference benchmark timing updated (#158)Update README.mdUpdate README.md[FRONTEND] CoreML (#63)Add cuda imagenet inference benchmark script (#73)fix coreml tools (#72) [TEST] include coreml tools in docker (#71)[BENCH] Add Benchmark for Rasp (#68)[GRAPHIR] Print attributes of input (#69)[DOCS] update docs (#67)[COMPILE] More debug message when compile error (#66)[TUTORIAL] Deploy the Pretrained Model on Raspberry Pi (#61)[DOC] add json spec intro (#62)[TUTORIAL] Onnx tutorial (#60)[OP] Conv2d and Depthwise Conv2d for Raspberry Pi (#49)Fix docs issue (#59)use shorter title (#58)[DOCS] Add install docs, fix Jenkins (#57)[PASS] FoldScaleAxis (#55)add squeeze (#52)[TEST] Xavie initialization for benchmarks (#54)revert v1 (#53)[TUTORIAL] use resnet v2 (#51)[TUTORIAL] Onnx tutorial (#50)[TEST] Checkin test docker and scripts (#48)[Tutorial] mxnet (#47)Merge with pull request #44 (#46)[Frontend] Onnx (#40)[DOCS] Add intro tutorial (#45)[TOP] split, reshape, concatenate (#43)[DOCS] Add save_param_dict, readme (#42)update nnvm.runtime to tvm.contrib.graph_runtime (#41)[FIX] Make master compile[RUNTIME] Remove runtime, rely on tvm only (#38)[DOCS][FRONTEND] Modify from_mxnet to also return params, update docs (#36)[TUTORIAL] Move mobilenet to tutorial, fix precompute_prune (#35)[DOCS] Revamp the docs (#34)[TOP][Example] register pool, global_pool; add mobilenet example (#32)[ATTR] More robust attr parsing (#33)[RUNTIME] Minimum runtime module (#31)