[ARITH] Enhance CanProve to handle symbolic bound#14523
Merged
junrushao merged 1 commit intoapache:mainfrom Apr 8, 2023
Merged
[ARITH] Enhance CanProve to handle symbolic bound#14523junrushao merged 1 commit intoapache:mainfrom
junrushao merged 1 commit intoapache:mainfrom
Conversation
Collaborator
|
Thanks for contributing to TVM! Please refer to the contributing guidelines https://tvm.apache.org/docs/contribute/ for useful information and tips. Please request code reviews from Reviewers by @-ing them in a comment.
Generated by tvm-bot |
Member
Author
tqchen
force-pushed
the
arith
branch
3 times, most recently
from
773030c to
a7eab35
Compare
tqchen
changed the title
This PR enhances CanProve to handle symbolic bound. Such analysis is essential to eliminate predicates in dynamic shape workloads. We also the int set analysis singlepoint check to avoid recursion and improve the overall analysis speed. Added CanProveSinglePoint to serve previous stronger checks. The new CanProve comes with additinal strength argument that can only be used in top-level setting with stronger analysis. Added comment for future implementation efficiency. Testcases are added to cover the cases.
jinhongyii
pushed a commit
to jinhongyii/tvm
that referenced
this pull request
Apr 10, 2023
…e#14523) (apache#175) This PR enhances CanProve to handle symbolic bound. Such analysis is essential to eliminate predicates in dynamic shape workloads. We also the int set analysis singlepoint check to avoid recursion and improve the overall analysis speed. Added CanProveSinglePoint to serve previous stronger checks. The new CanProve comes with additinal strength argument that can only be used in top-level setting with stronger analysis. Added comment for future implementation efficiency. Testcases are added to cover the cases. Co-authored-by: Tianqi Chen <tqchen@users.noreply.github.com>
tqchen
added a commit
to tqchen/tvm
that referenced
this pull request
Apr 11, 2023
…e#14523) (apache#175) This PR enhances CanProve to handle symbolic bound. Such analysis is essential to eliminate predicates in dynamic shape workloads. We also the int set analysis singlepoint check to avoid recursion and improve the overall analysis speed. Added CanProveSinglePoint to serve previous stronger checks. The new CanProve comes with additinal strength argument that can only be used in top-level setting with stronger analysis. Added comment for future implementation efficiency. Testcases are added to cover the cases. Co-authored-by: Tianqi Chen <tqchen@users.noreply.github.com>
Member
Author
|
cc @Lunderberg @wrongtest-intellif for awareness of the related features |
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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
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.
This PR enhances CanProve to handle symbolic bound.
Such analysis is essential to eliminate predicates in
dynamic shape workloads.
We also the int set analysis singlepoint check to avoid recursion
and improve the overall analysis speed.
Added CanProveSinglePoint to serve previous stronger checks.
The new CanProve comes with additinal strength argument
that can only be used in top-level setting with stronger analysis.
Added comment for future implementation efficiency.
Testcases are added to cover the cases.