Arm backend: Add DeepSeek-R1-Distill-Qwen FP8 layer tests#21012
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21012
Note: Links to docs will display an error until the docs builds have been completed. ⏳ 1 Pending, 1 Unrelated FailureAs of commit 12313d1 with merge base c995192 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This patch adds follow-up MXFP8 layer-test coverage for DeepSeek-R1-Distill-Qwen-1.5B on the Arm backend. The coverage follows the Qwen3-VL FP8 layer-test structure and focuses on the Qwen2 linear-heavy layers used by the distilled checkpoint: attention, MLP, and decoder layer. Both FP32-input and BF16-input paths use MXFPOpConfig with float8_e4m3fn weights and lower through the TOSA 1.1 FP mxfp extension. The BF16 path also enables the bf16 extension. Signed-off-by: Baris Demir <baris.demir@arm.com> Change-Id: I2337d551a1b3c6c2d23b09d697c7713de6d9a5c0
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