[ET-VK] Introduce VulkanDelegateHeader to manage constant data and shader data
#2013
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
…shader data ## Context This changeset is essentially a mirror of #1523 in the XNNPACK delegate which is the first step to enabling constant weight data to be serialized outside the flatbuffer blob to speed up deserialization time for large models. `VulkanDelegateHeader` is introduced which will be used later on to help interpret what different sections of the serialized binary blob corresponds to. The primary difference compared to `XNNHeader` which was added for the XNNPACK delegate is that fields are added to support custom compute shaders that will be serialized with the model. Differential Revision: [D53957853](https://our.internmc.facebook.com/intern/diff/D53957853/) [ghstack-poisoned]
pytorch-bot
bot
added
ciflow/periodic
module: vulkan
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2013
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit d98512f with merge base d25a219 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
|
Warning: Unknown label
Please add the new label to .github/pytorch-probot.yml |
facebook-github-bot
added
the
CLA Signed
|
This pull request was exported from Phabricator. Differential Revision: D53957853 |
…t data and shader data" ## Context This changeset is essentially a mirror of #1523 in the XNNPACK delegate which is the first step to enabling constant weight data to be serialized outside the flatbuffer blob to speed up deserialization time for large models. `VulkanDelegateHeader` is introduced which will be used later on to help interpret what different sections of the serialized binary blob corresponds to. The primary difference compared to `XNNHeader` which was added for the XNNPACK delegate is that fields are added to support custom compute shaders that will be serialized with the model. Differential Revision: [D53957853](https://our.internmc.facebook.com/intern/diff/D53957853/) [ghstack-poisoned]
|
This pull request was exported from Phabricator. Differential Revision: D53957853 |
|
This pull request has been merged in 04df8ab. |
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.
Stack from ghstack (oldest at bottom):
VulkanDelegateHeaderto manage constant data and shader data #2013Context
This changeset is essentially a mirror of #1523 in the XNNPACK delegate which is the first step to enabling constant weight data to be serialized outside the flatbuffer blob to speed up deserialization time for large models.
VulkanDelegateHeaderis introduced which will be used later on to help interpret what different sections of the serialized binary blob corresponds to. The primary difference compared toXNNHeaderwhich was added for the XNNPACK delegate is that fields are added to support custom compute shaders that will be serialized with the model.Differential Revision: D53957853