Conversation
Align the six-page walkthrough with the simplified MobileSAM example at ExecuTorch 5c4d2c4, including semihosted tensor input and output, current artifacts, platform requirements and measured validation results. Validated with a fresh source installation, the full Corstone-320 FVP workflow, three MobileSAM tests, and documentation build and rendering checks on Apple silicon macOS. Authored with OpenAI Codex.
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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
The Learning Path follows the earlier MobileSAM implementation. Update six pages to ExecuTorch commit
5c4d2c4a0150a0809bc77be9a67093f80f60a60f, using the simplified scripts, standard Arm runner, semihosted tensors, current artifacts and IoU checks. Preserve the manual walkthrough, add the completerun.shroute, and clarify platform requirements.Validated with a fresh Python 3.12.13 environment, the official installer and PyTorch 2.14.0 on macOS 26.6.2 / Apple silicon. The unmodified workflow passed on Corstone-320 FVP 11.31.28: host IoU 0.9550, target IoU 0.9809, one delegated subgraph, 5,076 delegated nodes and three non-delegated nodes. Three focused MobileSAM tests, the Hugo build, shell syntax checks and desktop/mobile rendering checks passed.
Linux and minimum-version macOS execution were not tested. The macOS 15 and Linux glibc 2.28 requirements were verified from published dependency wheel metadata.
Authored with OpenAI Codex.
Before submitting a pull request for a new Learning Path, please review Create a Learning Path.
Please do not include any confidential information in your contribution. This includes confidential microarchitecture details and unannounced product information.
By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of the Creative Commons Attribution 4.0 International License.