VulkanQuantizer for weight-only quantization on linear #4707
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
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4707
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New FailureAs of commit 6d1a572 with merge base 35da5bf ( NEW FAILURE - The following job has failed:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
pytorch-bot
bot
added
ciflow/periodic
module: vulkan
facebook-github-bot
added
the
CLA Signed
|
This pull request was exported from Phabricator. Differential Revision: D61243540 |
nathanaelsee
added a commit
to nathanaelsee/executorch
that referenced
this pull request
Aug 14, 2024
Summary: Using XNNPACKQuantizer as a base. VulkanQuantizer only annotates for 8-bit weight-only static quantization on linear nodes for now, as we only currently implement 8-bit weight quantized linear in the form of weight_int8packed_mm. Differential Revision: D61243540
nathanaelsee
force-pushed
the
export-D61243540
branch
from
1282332 to
5cdda6e
Compare
|
This pull request was exported from Phabricator. Differential Revision: D61243540 |
copyrightly
approved these changes
Aug 15, 2024
nathanaelsee
added a commit
to nathanaelsee/executorch
that referenced
this pull request
Aug 15, 2024
Summary: Using XNNPACKQuantizer as a base. VulkanQuantizer only annotates for 8-bit weight-only static quantization on linear nodes for now, as we only currently implement 8-bit weight quantized linear in the form of weight_int8packed_mm. Reviewed By: copyrightly Differential Revision: D61243540
nathanaelsee
force-pushed
the
export-D61243540
branch
from
5cdda6e to
4a97670
Compare
|
This pull request was exported from Phabricator. Differential Revision: D61243540 |
Summary: Using XNNPACKQuantizer as a base. VulkanQuantizer only annotates for 8-bit weight-only static quantization on linear nodes for now, as we only currently implement 8-bit weight quantized linear in the form of weight_int8packed_mm. Reviewed By: copyrightly Differential Revision: D61243540
nathanaelsee
force-pushed
the
export-D61243540
branch
from
4a97670 to
6d1a572
Compare
|
This pull request was exported from Phabricator. Differential Revision: D61243540 |
kirklandsign
pushed a commit
to kirklandsign/executorch
that referenced
this pull request
Aug 15, 2024
Differential Revision: D61243540 Pull Request resolved: pytorch#4707
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.
Summary:
Using XNNPACKQuantizer as a base.
VulkanQuantizer only annotates for 8-bit weight-only static quantization on linear nodes for now, as we only currently implement 8-bit weight quantized linear in the form of weight_int8packed_mm.
Differential Revision: D61243540