Arm backend: Reduce Qwen3 VL E2E footprint#20328
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Use a compact synthetic Qwen3 VL config for full-model E2E tests. Keep real checkpoint shapes in layer tests, where memory is bounded. This avoids instantiating the full 2B text stack in nightly CI. Signed-off-by: Baris Demir <baris.demir@arm.com> Change-Id: I2d53cb76090b564c487558f8e88706ab0f01ed81
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20328
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This is a forward fix for the Qwen3 VL E2E coverage added in #20274. The original E2E test instantiated the full Qwen3 VL text config This PR keeps the same E2E language/vision topology coverage across |
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Use a compact synthetic Qwen3 VL config for full-model E2E tests. Keep real checkpoint shapes in layer tests, where memory is bounded. This avoids instantiating the full 2B text stack in nightly CI.
Signed-off-by: Baris Demir baris.demir@arm.com
Change-Id: I2d53cb76090b564c487558f8e88706ab0f01ed81
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218 @mansnils @Sebastian-Larsson @robell @rascani