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Created with Raphaël 2.2.08Feb75432131Jan3029282726252423222120191815141312118628Dec2221201817161514111098765432130Nov262522212019181716141312111095230Oct292120141398752129Sep2824151413121110987543231Aug292827262524232221201918Adding Barebones README for DNN benchmarksAdd more elaborate instructions to run CNN benchmarksAdd jetson_clocks script for TX2Merge branch 'predtuner' into approx_hpvm_reorgFinished piped binary supportUse piped files properlyUpdate scripts to run CNNs and add READMEMerging approx_hpvm_reorg CMake changes inChanged communication protocolAdding test script for Keras Accuracy CheckFrontend generates a tuning binaryAdded llvm_hpvm_invokeRtControl to frontend-generated codeFixed the order of pool and relu in pytorch sourceAdded a mode to generate 'inspected' binary in frontendFix the titles of the graphsFixed setup.py requirementAdded more info to metadataAdded new predtuner as submoduleFixed a typo in tensor runtime CUDA reg countRemoved some unused functionsFixed some warning in compilationMerged debug.cc and debug.cppFormatted all C/C++/CUDA sources in hpvm-tensor-rtRemoved code for error injectionUse CUDA-lang support to automate nvcc-gcc version checkRemoved all image routines from tensor runtimeFixed some usability issues with approxhpvm.pyUpdate README.mdUpdate README.mdUpdate Keras README.md to Point to new Support.mdUpdate Support.mdAdding Support.md Doc for Keras frontendFixing 2 bugs in Keras sources + Cleaning up unused codeAdding necessary links to Keras README.mdUpdate Keras README.mdUpdating Keras README.md to reflect test.bin accuraciesUpdating Keras frontend examples to use model_params dataAdd updated tradeoff curves for imagenet benchmarksFixed a typoUpdated main readme file