[TIR][Meta-Schedule] Tuple-reduction scheduling support #11639
Merged
Conversation
This file contains 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
junrushao
force-pushed
the
feature/2022-05-26-tuple-red-scheduling
branch
from
d876c0e
to
49b945c
Compare
junrushao
reviewed
Sep 12, 2022
tests/python/unittest/test_tir_transform_lower_cross_thread_reduction.py
Show resolved
Hide resolved
junrushao
force-pushed
the
feature/2022-05-26-tuple-red-scheduling
branch
3 times, most recently
from
2caa67e
to
8cee328
Compare
junrushao
reviewed
Sep 14, 2022
junrushao
reviewed
Sep 14, 2022
This PR improves our TIR scheduling primitives/transformations (rfactor & cross-thread reduction) designed for reduction operators, so that they can be applied to blocks of tuple-reduction.
junrushao
force-pushed
the
feature/2022-05-26-tuple-red-scheduling
branch
from
8cee328
to
d93b7f1
Compare
xinetzone
pushed a commit
to daobook/tvm
that referenced
this pull request
Nov 25, 2022
[TIR][MetaSchedule] Support Tuple Reduction This PR improves our TIR scheduling primitives/transformations (rfactor & cross-thread reduction) designed for reduction operators, so that they can be applied to blocks of tuple-reduction.
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Outdated suggestions cannot be applied.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.
This PR improves our TIR scheduling primitives/transformations (rfactor & cross-thread reduction) designed for reduction operators, so that they can be applied to blocks of tuple-reduction.
Most of the code changes are of unit tests.
cc @junrushao1994