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…kan export Summary: These models were previously only exportable via QNN-specific scripts. Add EagerModelBase wrappers so they can be exported through the standard XNNPACK and Vulkan export pipelines: - EfficientNet-B0 (torchvision pretrained) - Swin Transformer Tiny (torchvision pretrained) - DistilBERT base uncased (HuggingFace transformers) Also add model entries to the examples/vulkan and examples/xnnpack export registries, and a download_models.sh script to pre-cache all model checkpoints needed for MLSys benchmarking. Authored with Claude. Test Plan: Exported EfficientNet, Swin, and DistilBERT to .pte via both XNNPACK and Vulkan export pipelines. Verified all three models load and produce outputs on-device. Reviewers: Subscribers: Tasks: Tags:
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18585
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 2 Cancelled JobsAs of commit b93a4a9 with merge base fa81941 ( NEW FAILURE - The following job has failed:
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Summary: These models were previously only exportable via QNN-specific scripts. Add
EagerModelBase wrappers so they can be exported through the standard XNNPACK
and Vulkan export pipelines:
Also add model entries to the examples/vulkan and examples/xnnpack export
registries, and a download_models.sh script to pre-cache all model checkpoints
needed for MLSys benchmarking.
Authored with Claude.
Test Plan: Exported EfficientNet, Swin, and DistilBERT to .pte via both XNNPACK and
Vulkan export pipelines. Verified all three models load and produce outputs
on-device.
Reviewers:
Subscribers:
Tasks:
Tags:
cc @manuelcandales @digantdesai @cbilgin