forked from NN-complr-tech/llvm
-
Notifications
You must be signed in to change notification settings - Fork 54
Козлова Екатерина. Лабораторная работа 4: MLIR. Вариант 4. #154
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Open
KatyaKozlova
wants to merge
7
commits into
NN-complr-tech:course-spring-2025
Choose a base branch
from
KatyaKozlova:kozlova_e_lab4
base: course-spring-2025
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Open
Козлова Екатерина. Лабораторная работа 4: MLIR. Вариант 4. #154
KatyaKozlova
wants to merge
7
commits into
NN-complr-tech:course-spring-2025
from
KatyaKozlova:kozlova_e_lab4
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
aobolensk
approved these changes
May 15, 2025
m-ly4
requested changes
May 18, 2025
return "ExamplePass_Kozlova_Ekaterina_FIIT3_MLIR"; | ||
} | ||
|
||
mlir::StringRef getDescription() const override { return "Pass"; } |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Could you please add more valuable description?
// CHECK-NEXT: } | ||
// CHECK-NEXT: return | ||
// CHECK-NEXT: } | ||
func.func @test5() { |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Could you please add a test:
Suggested change
func.func @test5() { | |
func.func @test5() { | |
%c0 = arith.constant 0 : index | |
%c7 = arith.constant 7 : index | |
%c1 = arith.constant 1 : index | |
%cond = arith.constant true | |
scf.if %cond { | |
scf.for %i = %c0 to %c7 step %c1 { | |
scf.if %cond { | |
} | |
} | |
} | |
return | |
} | |
```? |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Данный MLIR-пасс анализирует функции в модуле и вычисляет глубину вложенности циклов (scf.for, scf.while, affine.for) внутри каждой функции. Для каждого цикла рекурсивно вычисляется глубина вложенных регионов, представляющая уровень вложенности. Затем пасс сохраняет эти глубины циклов в виде атрибута-массива целых чисел под названием "my_loop_depths" на самой операции функции. Для вычисления глубины каждого региона цикла используется рекурсивная функция computeRegionDepth, которая возвращает максимальную глубину