[ET-VK][testing] Add Skycastle GPU host test workflow via ECOD#18195
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[ET-VK][testing] Add Skycastle GPU host test workflow via ECOD#18195
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Pull Request resolved: #18170 Create a new Skycastle workflow that mirrors the existing eureka Android device test workflow but runs on an ECOD NEUTRON_NVIDIA_A10M Linux VM with an NVIDIA GPU. This enables testing the Vulkan backend on real NVIDIA hardware in CI. New files: - gpu_host_utils.sky: Utility functions for ECOD GPU host interaction (reserve, upload, ssh, release), analogous to riot_utils.sky but using ecod CLI instead of adb. - executorch_vulkan_gpu_unit_tests.sky: Main workflow (etvk-gpu-host-tests) that exports models, reserves an ECOD GPU VM, runs all tests (gtest binaries, llama runner, classification, greenscreen, scenex, skin seg), and releases the VM. Modified files: - executorch_vulkan_test_utils.sky: Added build_target_for_host() to build test binaries for x86_64 Linux host (no Android cross-compilation). ghstack-source-id: 352218807 @exported-using-ghexport Differential Revision: [D96233257](https://our.internmc.facebook.com/intern/diff/D96233257/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/18195
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 169 PendingAs of commit d46e284 with merge base 89b938a ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #18170 by @SS-JIA
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/486/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/486/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/486/orig
Differential Revision: D96233257
@diff-train-skip-merge