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Created with Raphaël 2.2.031Mar3029262524232223222120192019181716151413121312111092127Feb2624232219181716141211109875432131Jan3029282726252423222120191815141312118628Dec2221201817161514111098765432Fixed a broken dependency in default envJust point the readme to the online documentation. Simple enough.Updated documents to include audience, submodule info, and doc-passing badgeAdded config file for readthedocsTile counts are now computed in internal nodesRefactor tile size calculation to happen in internal node funcRemove tile size computation from aux leaf nodeMerge branch 'hpvm-hypermapper' of gitlab.engr.illinois.edu:llvm/hpvm into hpvm-hypermapperAdded changes for using isNonZeroLoop() intrinsic to also pass a trip count, which is then used to calculate the execution time estimates in DSEFixed some links in documentationGetting started (documentation)Removing Gitlab CI yml fileMerging sphinx documentation inAdding CNN model description in developer docsFixed gitlab-ciFormatting updates to Approx Imp DocStarting on Developer DocsSet up .gitlab-ci.yml for sphinx automationMerge remote-tracking branch 'origin/approx_hpvm_reorg_akash' into approx_hpvm_reorgAdded keras/doc/Support.md and fixed a few linksAdded documentation for predtuner and hpvm-profilerGet rid of CreateTensor4DCPU internal APIBump predtuner version for a bug fixMerge branch 'approx_hpvm_hotfix' into approx_hpvm_reorgRemoving erroneous prints from tensor-rtExtra explanation on how installer relays CMake argsunitTests, regressionTests -> hpvm_pass in documentationpip -> pip3A framework for documentation on websiteImproved installer and added a few argumentsMerging in hotfix branch fixes to HPVM-C filesRemove "default subst" in profiler test, we don't need them.Run profiler benchmarks sequentiallyAdded a bit more slack in accuracy validation (profiler)Remove copyInputBatch altogetherUpdate CNN_Models.mdStarting Document for CNN weight formatMerge branch 'approx_hpvm_reorg' into approx_hpvm_hotfixFixing Benchmark name - KerasAdding pragma nounroll hint to batch loop (Keras frontend)