Arm backend: Add BF16 layer tests for Qwen#19767
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* Add layers that run in BF16 in the HF model Signed-off-by: Tom Allsop <tom.allsop@arm.com> Change-Id: If75434db138059f3a433a70abda3f3e26f6dd3b6
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19767
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ❌ 1 New Failure, 2 Unrelated FailuresAs of commit e698083 with merge base c505aa5 ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Pull request overview
Adds BF16 coverage for selected Qwen3-VL layer-level TOSA FP tests in the Arm backend test suite, to better reflect layers that execute in BF16 in the upstream HuggingFace model.
Changes:
- Introduces a helper to cast a model and its floating-point inputs to
torch.bfloat16. - Adds a curated
TOSA_BF16_TEST_CASESsubset and a new parameterized BF16 TOSA FP test invoking the pipeline withtosa_extensions=["bf16"]and custom tolerances.
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zingo
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May 26, 2026
Signed-off-by: Tom Allsop <tom.allsop@arm.com> Change-Id: I5ad74cc3d108b4c1f441570182b3f849d5fe1a9f
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Change-Id: If75434db138059f3a433a70abda3f3e26f6dd3b6
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218 @mansnils @Sebastian-Larsson @robell @rascani