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llvm
hpvm-release
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7a1350a53f4f5c7efe7918f31e2bd73fc86ab434
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3
hpvm-release-epochs
hpvm-release-epochs0
main
default
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v2.0
v2.0rc
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7 results
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Created with Raphaël 2.2.0
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31
Dec
Add changes to profiler interfaces to avoid breaking cose
added test for dominance chain and extra check for loop guard branch
Adding support for dumping CPU runtime configs
mergign
Adding baseline configuration to autotuning outputs
split unroll & jam to two passes so that we can run cse, simplifycfg, and loop simplify between them
Adding CPU support in profiler and making adding devices more easy
Adding CPU tensor operations and approximations
Merge branch 'approx_hpvm' of https://gitlab.engr.illinois.edu/llvm/hpvm into approx_hpvm
Adding build support of OpenMP for CPU tensor runtime
Updating Global Knobs file to include 33% sampling
Adding Sampling test for 1*1 filter
Fix a bug in indexing for skip_offset == 4 for filter sampling
Modifying tensorConvSampSim to handle 33% sampling
Pushing latest unit test source - with tests for baseline FP32 FP16
Merge branch 'approx_hpvm' of https://gitlab.engr.illinois.edu/llvm/hpvm into approx_hpvm
Fixed baseline convolution baseline and removed redundant tensors
Adding detailed unit test for 3*3 filter sampling
merging
removing stray prints
Add FP16 support for baseline convolution
Add regular convolution and bug fix
Adding unit tests for sampling and baseline for 1*1 filter
Add fixes to filter sampling
Updating sampling unit test that uncovers more bugs
Adding failing sampling test on 1*1 filters
Modifying buildRtConfig.py to use global_knobs.txt
Merging
Adding automatic extraction of devtime knobs
Fixes to row and column perforation routines
Reading Samp Params from global_knobs.txt
Reading Perf Flag mappings from global_knobs.txt
Creating Autotuner initializer for one-time initializations
Better organization of SampParamSet and PerfParamSet
removing unnecessary print
Removing unnecessary print
Moving print msg to DEBUG macro
Moving to 2K images for Profiling
Updating VGG16 tensorRT source to use 1K imgs for Profiling
Udating resnet to 1K images
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