Dynamic Conv1d + W2L #2976
Closed
Dynamic Conv1d + W2L #2976
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/2976
Note: Links to docs will display an error until the docs builds have been completed. ❌ 5 New FailuresAs of commit b121bc3 with merge base 49d1f02 ( NEW FAILURES - The following jobs have failed:
This comment was automatically generated by Dr. CI and updates every 15 minutes. |
facebook-github-bot
added
the
CLA Signed
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
mcr229
added a commit
to mcr229/executorch
that referenced
this pull request
Apr 10, 2024
Summary: Pull Request resolved: pytorch#2976 Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d. For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0. Reviewed By: digantdesai Differential Revision: D55815092
mcr229
force-pushed
the
export-D55815092
branch
from
dea37ce to
badff43
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
mcr229
force-pushed
the
export-D55815092
branch
from
badff43 to
6321c5e
Compare
mcr229
added a commit
to mcr229/executorch
that referenced
this pull request
Apr 11, 2024
Summary: Pull Request resolved: pytorch#2976 Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d. For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0. Reviewed By: digantdesai Differential Revision: D55815092
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
mcr229
added a commit
to mcr229/executorch
that referenced
this pull request
Apr 11, 2024
Summary: Pull Request resolved: pytorch#2976 Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d. For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0. Reviewed By: digantdesai Differential Revision: D55815092
mcr229
force-pushed
the
export-D55815092
branch
from
6321c5e to
cfa6756
Compare
kirklandsign
approved these changes
Apr 11, 2024
mcr229
added a commit
to mcr229/executorch
that referenced
this pull request
Apr 11, 2024
Summary: Pull Request resolved: pytorch#2976 Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d. For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0. Reviewed By: digantdesai, kirklandsign Differential Revision: D55815092
mcr229
force-pushed
the
export-D55815092
branch
from
cfa6756 to
add2311
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
mcr229
force-pushed
the
export-D55815092
branch
from
add2311 to
584267f
Compare
mcr229
added a commit
to mcr229/executorch
that referenced
this pull request
Apr 15, 2024
Summary: Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d. For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0. Reviewed By: digantdesai, kirklandsign Differential Revision: D55815092
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
mcr229
added a commit
to mcr229/executorch
that referenced
this pull request
Apr 15, 2024
Summary: Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d. For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0. Reviewed By: digantdesai, kirklandsign Differential Revision: D55815092
mcr229
force-pushed
the
export-D55815092
branch
from
584267f to
a457e42
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
Summary: Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d. For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0. Reviewed By: digantdesai, kirklandsign Differential Revision: D55815092
mcr229
force-pushed
the
export-D55815092
branch
from
a457e42 to
b121bc3
Compare
|
This pull request was exported from Phabricator. Differential Revision: D55815092 |
|
This pull request has been merged in 7b375fe. |
Closed
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:
Conv1d uses static reshape operator, in order to convert 3d tensor to 4d tensor so xnnpack can operate using conv2d.
For dynamism, reshape only accepts a single dynamic dimension, which is denoted as dynamic with a dim of 0.
Reviewed By: digantdesai
Differential Revision: D55815092