Arm backend: Test partial quantization of models#16249
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oscarandersson8218 merged 2 commits intopytorch:mainfrom Dec 16, 2025
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Arm backend: Test partial quantization of models#16249oscarandersson8218 merged 2 commits intopytorch:mainfrom
oscarandersson8218 merged 2 commits intopytorch:mainfrom
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Run tests of partial quantization on MobileNetV2 and Llama using the INT+FP profile. The tests quantizes only some layer types and runs the rest in floating point. Signed-off-by: Martin Lindström <Martin.Lindstroem@arm.com> Change-Id: I555a035bc9a74476511ee04213ea794929591bcc
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/16249
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Run tests of partial quantization on MobileNetV2 and Llama using the INT+FP profile. The tests quantize only some layer types and runs the rest in floating point. cc @freddan80 @per @zingo @oscarandersson8218 @digantdesai Signed-off-by: Martin Lindström <Martin.Lindstroem@arm.com> Co-authored-by: Martin Lindström <Martin.Lindstroem@arm.com> Co-authored-by: Oscar Andersson <87121123+oscarandersson8218@users.noreply.github.com>
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Run tests of partial quantization on MobileNetV2 and Llama using the INT+FP profile. The tests quantize only some layer types and runs the rest in floating point. cc @freddan80 @per @zingo @oscarandersson8218 @digantdesai Signed-off-by: Martin Lindström <Martin.Lindstroem@arm.com> Co-authored-by: Martin Lindström <Martin.Lindstroem@arm.com> Co-authored-by: Oscar Andersson <87121123+oscarandersson8218@users.noreply.github.com>
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Run tests of partial quantization on MobileNetV2 and Llama using the INT+FP profile. The tests quantize only some layer types and runs the rest in floating point.
cc @freddan80 @per @zingo @oscarandersson8218 @digantdesai