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[Minor Bug] fix typo in argument & add flag #684
[Minor Bug] fix typo in argument & add flag #684
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Hi @anthony0727! Thank you for your pull request and welcome to our community. Action RequiredIn order to merge any pull request (code, docs, etc.), we require contributors to sign our Contributor License Agreement, and we don't seem to have one on file for you. ProcessIn order for us to review and merge your suggested changes, please sign at https://code.facebook.com/cla. If you are contributing on behalf of someone else (eg your employer), the individual CLA may not be sufficient and your employer may need to sign the corporate CLA. Once the CLA is signed, our tooling will perform checks and validations. Afterwards, the pull request will be tagged with If you have received this in error or have any questions, please contact us at cla@fb.com. Thanks! |
Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks! |
Thank you for signing our Contributor License Agreement. We can now accept your code for this (and any) Meta Open Source project. Thanks! |
Hi @anthony0727, many thanks for this! One small change is needed - rather than defining the CompilerGym/examples/brute_force.py Line 40 in d22fd36
It is functionally the same (see here for an explanation if you're interested). Otherwise LGTM 🙂 Cheers, |
Codecov Report
@@ Coverage Diff @@
## development #684 +/- ##
===============================================
+ Coverage 88.46% 88.69% +0.23%
===============================================
Files 129 131 +2
Lines 7730 7926 +196
===============================================
+ Hits 6838 7030 +192
- Misses 892 896 +4
Continue to review full report at Codecov.
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made the commit! really learn alot from your source code, e.g. how you utilize absl, software design pattern, etc thx |
Thanks @anthony0727, that's great to hear! :) LGTM, merging Cheers, |
This release adds a new compiler environment, new APIs, and a suite of backend improvements to improve the flexibility of CompilerGym environments. Many thanks to code contributors: @sogartar, @KyleHerndon, @SoumyajitKarmakar, @uduse, and @anthony0727! Highlights of this release include: - [mlir] Began work on a new environment for matrix multiplication using MLIR ([#652](#652), thanks @KyleHerndon and @sogartar!). Note this environment is not yet included in the pypi package and must be [compiled from source](https://github.com/facebookresearch/CompilerGym/blob/development/INSTALL.md#building-from-source-with-cmake). - [llvm] Added a new `env.benchmark_from_clang_invocation()` method ([#577](#577)) that can be used for constructing LLVM environment automatically from C/C++ compiler invocations. This makes it much easier to integrate CompilerGym with your existing build scripts. - Added three new wrapper classes: `Counter`, that provides op counts for analysis ([#683](#683)); `SynchronousSqliteLogger`, that provides logging of environment interactions to a relational database ([#679](#679)), and `ForkOnStep` that provides an `undo()` operation ([#682](#682)). - Added `reward_space` and `observation_space` parameters to `env.reset()` ([#659](#659), thanks @SoumyajitKarmakar!) This release includes a number of improvements to the backend APIs that make it easier to write new CompilerGym environments: - Refactored the backend to make `CompilerEnv` an abstract interface, and `ClientServiceCompilerEnv` the concrete implementation of this interface. This enables new environments to be implemented without using gRPC ([#633](#633), thanks @sogartar!). - Extended the support for different types of action and observation spaces ([#641](#641), [#643](#643), thanks @sogartar!), including new `Permutation` and `SpaceSequence` spaces ([#645](#645), thanks @sogartar!).. - Added a new `disk/` subdirectory to compiler service's working directories, which is symlinked to an on-disk location for devices which support in-memory working directories. This fixes a bug with leftover temporary directories from LLVM ([#672](#672)). This release also includes numerous bug fixes and improvements, many of which were reported or fixed by the community. For example, fixing a bug in cache file locations ([#656](#656), thanks @uduse!), and a missing flag definition in example code ([#684](#684), thanks @anthony0727!). **Full Changelog**: v0.2.3...v0.2.4 This release brings in deprecating changes to the core `env.step()` routine, and lays the groundwork for enabling new types of compiler optimizations to be exposed through CompilerGym. Many thanks to code contributors: @mostafaelhoushi, @sogartar, @KyleHerndon, @uduse, @parthchadha, and @xtremey! Highlights of this release include: - Added a new `TextSizeInBytes` observation space for LLVM ([#575](#575)). * Added a new PPO leaderboard entry ([#580](#580). Thanks @xtremey! - Fixed a bug in which temporary directories created by the LLVM environment were not cleaned up ([#592](#592)). - **[Backend]** The function `createAndRunCompilerGymService` now returns an int, which is the exit return code ([#592](#592)). - Improvements to the examples documentation ([#548](#548)) and FAQ ([#586](#586)) Deprecations and breaking changes: - `CompilerEnv.step` no longer accepts a list of actions ([#627](#627)). A new method, `CompilerEnv.multistep` provides this functionality. This is to provide compatibility with environments whose action spaces are lists. To update your code, replace any calls to `env.step()` which take a list of actions to use `env.multistep()`. Thanks @sogartar! - The arguments `observations` and `rewards` to `step()` have been renamed `observation_spaces` and `reward_spaces`, respectively ([#627](#627)). - `Reward.id` has been renamed `Reward.name` ([#565](#565), [#612](#612)). Thanks @parthchadha! * The backend protocol buffer schema has been updated to natively support more types of observation and action, and to support nested spaces ([#531](#531)). Thanks @sogartar!
This release adds a new compiler environment, new APIs, and a suite of backend improvements to improve the flexibility of CompilerGym environments. Many thanks to code contributors: @sogartar, @KyleHerndon, @SoumyajitKarmakar, @uduse, and @anthony0727! Highlights of this release include: - [mlir] Began work on a new environment for matrix multiplication using MLIR ([#652](#652), thanks @KyleHerndon and @sogartar!). Note this environment is not yet included in the pypi package and must be [compiled from source](https://github.com/facebookresearch/CompilerGym/blob/development/INSTALL.md#building-from-source-with-cmake). - [llvm] Added a new `env.benchmark_from_clang_invocation()` method ([#577](#577)) that can be used for constructing LLVM environment automatically from C/C++ compiler invocations. This makes it much easier to integrate CompilerGym with your existing build scripts. - Added three new wrapper classes: `Counter`, that provides op counts for analysis ([#683](#683)); `SynchronousSqliteLogger`, that provides logging of environment interactions to a relational database ([#679](#679)), and `ForkOnStep` that provides an `undo()` operation ([#682](#682)). - Added `reward_space` and `observation_space` parameters to `env.reset()` ([#659](#659), thanks @SoumyajitKarmakar!) This release includes a number of improvements to the backend APIs that make it easier to write new CompilerGym environments: - Refactored the backend to make `CompilerEnv` an abstract interface, and `ClientServiceCompilerEnv` the concrete implementation of this interface. This enables new environments to be implemented without using gRPC ([#633](#633), thanks @sogartar!). - Extended the support for different types of action and observation spaces ([#641](#641), [#643](#643), thanks @sogartar!), including new `Permutation` and `SpaceSequence` spaces ([#645](#645), thanks @sogartar!).. - Added a new `disk/` subdirectory to compiler service's working directories, which is symlinked to an on-disk location for devices which support in-memory working directories. This fixes a bug with leftover temporary directories from LLVM ([#672](#672)). This release also includes numerous bug fixes and improvements, many of which were reported or fixed by the community. For example, fixing a bug in cache file locations ([#656](#656), thanks @uduse!), and a missing flag definition in example code ([#684](#684), thanks @anthony0727!). **Full Changelog**: v0.2.3...v0.2.4 This release brings in deprecating changes to the core `env.step()` routine, and lays the groundwork for enabling new types of compiler optimizations to be exposed through CompilerGym. Many thanks to code contributors: @mostafaelhoushi, @sogartar, @KyleHerndon, @uduse, @parthchadha, and @xtremey! Highlights of this release include: - Added a new `TextSizeInBytes` observation space for LLVM ([#575](#575)). * Added a new PPO leaderboard entry ([#580](#580). Thanks @xtremey! - Fixed a bug in which temporary directories created by the LLVM environment were not cleaned up ([#592](#592)). - **[Backend]** The function `createAndRunCompilerGymService` now returns an int, which is the exit return code ([#592](#592)). - Improvements to the examples documentation ([#548](#548)) and FAQ ([#586](#586)) Deprecations and breaking changes: - `CompilerEnv.step` no longer accepts a list of actions ([#627](#627)). A new method, `CompilerEnv.multistep` provides this functionality. This is to provide compatibility with environments whose action spaces are lists. To update your code, replace any calls to `env.step()` which take a list of actions to use `env.multistep()`. Thanks @sogartar! - The arguments `observations` and `rewards` to `step()` have been renamed `observation_spaces` and `reward_spaces`, respectively ([#627](#627)). - `Reward.id` has been renamed `Reward.name` ([#565](#565), [#612](#612)). Thanks @parthchadha! * The backend protocol buffer schema has been updated to natively support more types of observation and action, and to support nested spaces ([#531](#531)). Thanks @sogartar!
This release adds a new compiler environment, new APIs, and a suite of backend improvements to improve the flexibility of CompilerGym environments. Many thanks to code contributors: @sogartar, @KyleHerndon, @SoumyajitKarmakar, @uduse, and @anthony0727! Highlights of this release include: - [mlir] Began work on a new environment for matrix multiplication using MLIR ([#652](#652), thanks @KyleHerndon and @sogartar!). Note this environment is not yet included in the pypi package and must be [compiled from source](https://github.com/facebookresearch/CompilerGym/blob/development/INSTALL.md#building-from-source-with-cmake). - [llvm] Added a new `env.benchmark_from_clang_invocation()` method ([#577](#577)) that can be used for constructing LLVM environment automatically from C/C++ compiler invocations. This makes it much easier to integrate CompilerGym with your existing build scripts. - Added three new wrapper classes: `Counter`, that provides op counts for analysis ([#683](#683)); `SynchronousSqliteLogger`, that provides logging of environment interactions to a relational database ([#679](#679)), and `ForkOnStep` that provides an `undo()` operation ([#682](#682)). - Added `reward_space` and `observation_space` parameters to `env.reset()` ([#659](#659), thanks @SoumyajitKarmakar!) This release includes a number of improvements to the backend APIs that make it easier to write new CompilerGym environments: - Refactored the backend to make `CompilerEnv` an abstract interface, and `ClientServiceCompilerEnv` the concrete implementation of this interface. This enables new environments to be implemented without using gRPC ([#633](#633), thanks @sogartar!). - Extended the support for different types of action and observation spaces ([#641](#641), [#643](#643), thanks @sogartar!), including new `Permutation` and `SpaceSequence` spaces ([#645](#645), thanks @sogartar!).. - Added a new `disk/` subdirectory to compiler service's working directories, which is symlinked to an on-disk location for devices which support in-memory working directories. This fixes a bug with leftover temporary directories from LLVM ([#672](#672)). This release also includes numerous bug fixes and improvements, many of which were reported or fixed by the community. For example, fixing a bug in cache file locations ([#656](#656), thanks @uduse!), and a missing flag definition in example code ([#684](#684), thanks @anthony0727!). **Full Changelog**: v0.2.3...v0.2.4 This release brings in deprecating changes to the core `env.step()` routine, and lays the groundwork for enabling new types of compiler optimizations to be exposed through CompilerGym. Many thanks to code contributors: @mostafaelhoushi, @sogartar, @KyleHerndon, @uduse, @parthchadha, and @xtremey! Highlights of this release include: - Added a new `TextSizeInBytes` observation space for LLVM ([#575](#575)). * Added a new PPO leaderboard entry ([#580](#580). Thanks @xtremey! - Fixed a bug in which temporary directories created by the LLVM environment were not cleaned up ([#592](#592)). - **[Backend]** The function `createAndRunCompilerGymService` now returns an int, which is the exit return code ([#592](#592)). - Improvements to the examples documentation ([#548](#548)) and FAQ ([#586](#586)) Deprecations and breaking changes: - `CompilerEnv.step` no longer accepts a list of actions ([#627](#627)). A new method, `CompilerEnv.multistep` provides this functionality. This is to provide compatibility with environments whose action spaces are lists. To update your code, replace any calls to `env.step()` which take a list of actions to use `env.multistep()`. Thanks @sogartar! - The arguments `observations` and `rewards` to `step()` have been renamed `observation_spaces` and `reward_spaces`, respectively ([#627](#627)). - `Reward.id` has been renamed `Reward.name` ([#565](#565), [#612](#612)). Thanks @parthchadha! * The backend protocol buffer schema has been updated to natively support more types of observation and action, and to support nested spaces ([#531](#531)). Thanks @sogartar!
PR to fix minor bug in
examples/sensitivity_analysis/action_sensitivity_analysis.py
fix to
CompilerGym/examples/sensitivity_analysis/action_sensitivity_analysis.py
Line 126 in f30ebba
nproc
reward
->reward_space