Release v0.1.7 #164
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Release v0.1.7 #164
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Release v0.1.6.
This adds new observation spaces that expose the -instcount pass
values. The -instcount pass counts the number of instructions of each
type in a program, along with the total number of instructions, total
number of blocks, and total number of functions.
There are four new observation spaces: `InstCount`, which returns the
feature vector as a numpy array, `InstCountDict`, which returns the
values as a dictionary of named features, and `InstCountNorm` and
`InstCountNormDict`, which are the same as above but the counts are
instead normalized to the total number of instructions in the program.
Example usage:
>>> import gym
>>> import compiler_gym
>>> env = gym.make("llvm-v0")
>>> env.observation_space = "InstCountDict"
>>> env.reset("cBench-v0/crc32")
{'TotalInstsCount': 196, 'TotalBlocksCount': 29,
'TotalFuncsCount': 13, 'RetCount': 5, 'BrCount': 24,
'SwitchCount': 0, 'IndirectBrCount': 0, 'InvokeCount': 0,
'ResumeCount': 0, 'UnreachableCount': 0, 'CleanupRetCount': 0,
'CatchRetCount': 0, 'CatchSwitchCount': 0, 'CallBrCount': 0,
'FNegCount': 0, 'AddCount': 5, 'FAddCount': 0, 'SubCount': 0,
'FSubCount': 0, 'MulCount': 0, 'FMulCount': 0, 'UDivCount': 0,
'SDivCount': 0, 'FDivCount': 0, 'URemCount': 0, 'SRemCount': 0,
'FRemCount': 0, 'ShlCount': 0, 'LShrCount': 3, 'AShrCount': 0,
'AndCount': 3, 'OrCount': 1, 'XorCount': 8, 'AllocaCount': 24,
'LoadCount': 51, 'StoreCount': 38, 'GetElementPtrCount': 5,
'FenceCount': 0, 'AtomicCmpXchgCount': 0, 'AtomicRMWCount': 0,
'TruncCount': 1, 'ZExtCount': 5, 'SExtCount': 0, 'FPToUICount': 0,
'FPToSICount': 0, 'UIToFPCount': 0, 'SIToFPCount': 0,
'FPTruncCount': 0, 'FPExtCount': 0, 'PtrToIntCount': 0,
'IntToPtrCount': 0, 'BitCastCount': 0, 'AddrSpaceCastCount': 0,
'CleanupPadCount': 0, 'CatchPadCount': 0, 'ICmpCount': 10,
'FCmpCount': 0, 'PHICount': 0, 'CallCount': 13, 'SelectCount': 0,
'UserOp1Count': 0, 'UserOp2Count': 0, 'VAArgCount': 0,
'ExtractElementCount': 0, 'InsertElementCount': 0,
'ShuffleVectorCount': 0, 'ExtractValueCount': 0,
'InsertValueCount': 0, 'LandingPadCount': 0, 'FreezeCount': 0}
The InstCount observation spaces are quick to compute and
lightweight. They have similar computational complexity as Autophase.
Fixes #149.
[llvm] Add an InstCount observation space.
This is required to build grpcio 1.36.0. Issue #162.
This to enable compiling Pillow from source on Python 3.9. Issue #162.
This is to fix compilation of Pillow using Python 3.9. Issue #162.
This adds <!-- omit from toc --> annotations to some of the minor subheadings to keep the table of contents as simple as possible. This uses the "Markdown All in One" plugin for VSCode to automatically keep the table of contents up to date: https://marketplace.visualstudio.com/items?itemName=yzhang.markdown-all-in-one#table-of-contents
It makes it harder to copy and paste the commands.
Add support for Python 3.9
This adds a compiler_gym.leaderboard module that contains the LLVM codesize leaderboard helper code. New API docs provide improved explanation of how to use it. Issue #158.
This is to break the duplicate flag error from //tests/benchmarks:parallelization_load_test.
Re-order the file so that leaderboard submissions appear directly below pull requests. Then provide more details about the submission review process.
Be clear that this leaderboard evaluates performance at reducing the instruction count of LLVM-IR, not the binary codesize.
[leaderboard] Move leaderboard utility modules into compiler_gym namespace
This adds a pure random policy that selects actions randomly until a fixed number of steps (the "patience" of the search) have been evaluated without an improvement to reward. The search stops after a predetermined amount of search time has elapsed. The patience value was selected by running a random 200 searches on programs from the `blas-v0` dataset and selecting the value that produced the best average reward.
facebook-github-bot
added
the
CLA Signed
[llvm_instcount] Leaderboard Submission: Random Search
This allows other pages to link directly to it.
This release introduces public leaderboards to track the performance of user-submitted algorithms on compiler optimization tasks. - Added a new `compiler_gym.leaderboard` package which contains utilities for preparing leaderboard submissions. - Added a LLVM instruction count leaderboard and seeded it with a random search baseline. - Added support for Python 3.9, extending the set of supported python versions to 3.6, 3.7, 3.8, and 3.9. - [llvm] Added a new `InstCount` observation space that contains the counts of each type of instruction. Build dependencies update notice ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ If you are building from source and upgrading from an older version of CompilerGym, your build environment will need to be updated. The easiest way to do that is to remove your existing conda environment using `conda remove --name compiler_gym --all` and to repeat the steps in "building from source" in the README.
The isort hook requires pre-commit 2.9.0.
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This release introduces public leaderboards to track the performance of
user-submitted algorithms on compiler optimization tasks.
compiler_gym.leaderboardpackage which contains utilities forpreparing leaderboard submissions
(#161).
baseline (#117).
3.6, 3.7, 3.8, and 3.9
(#160).
InstCountobservation space that contains the counts ofeach type of instruction
(#159).
Build dependencies update notice
This release updates the required versions for a handful of build dependencies.
If you are building from source and upgrading from an older version of CompilerGym,
your build environment will need to be updated. The easiest way to do that is to
remove your existing conda environment using
conda remove --name compiler_gym --alland to repeat the steps in building from source.