[TOPI][CUDA] batched int8 conv2d #1961
Merged
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
vinx13
force-pushed
the
feature/batched_conv2d
branch
from
f5d570e to
4d09d7d
Compare
Member
|
@masahi @nishi-t @anijain2305 please review |
masahi
reviewed
Oct 24, 2018
Member
|
It is better to add test cases for batch size > 1, such as batch size = 8, 16, 32, etc. |
tqchen
added
status: need update
masahi
approved these changes
Oct 26, 2018
Member
tqchen
added
status: accepted
and removed
status: need update
eqy
pushed a commit
to eqy/tvm
that referenced
this pull request
Oct 29, 2018
FrozenGene
pushed a commit
to FrozenGene/tvm
that referenced
this pull request
Dec 27, 2018
wweic
pushed a commit
to neo-ai/tvm
that referenced
this pull request
Feb 20, 2019
wweic
pushed a commit
to neo-ai/tvm
that referenced
this pull request
Feb 20, 2019
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Outdated suggestions cannot be applied.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.
some data when batch = 32
inception-v3 is still very slow, although it is 2x speedup in this PR. We can follow up on this when we have group convolution.
cc @merrymercy @tqchen