Arm backend: Enable using minimal c++ runtime. - #21587
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21587
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Add a helper arm_runner_link_minimal_specs that adds preffered minimal specs, in particular nano.specs with float printing included. Enable this in the example arm_executor_runner when EXECUTORCH_OPTIMIZE_SIZE=ON. Always enable in the image_classification example. While the helper reduces code size, it reduces support of standard c++ features. In particular, it does not support printing %zu, i.e. size_t:s. The impact can be reduced by instead using unsigned longs and printing with %lu, which is easily done in our code. For ET runtime code, it is a bit more complicated. Reduce impact by extending the ArmMemoryAllocator subclass to fix its error messages, to at least print proper diagnostics for memory problems. Signed-off-by: Erik Lundell <erik.lundell@arm.com> Change-Id: I80b127f7a939e7ee29baa59dc87777ae71f81647
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test-arm-backend-ethos-u (test_ootb_tests_tosa) with new test passes. |
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Add a helper arm_runner_link_minimal_specs
that adds preffered minimal specs, in particular
nano.specs with float printing included.
Enable this in the example arm_executor_runner
when EXECUTORCH_OPTIMIZE_SIZE=ON. Always enable
in the image_classification example.
While the helper reduces code size, it reduces support of standard c++ features. In particular, it does
not support printing %zu, i.e. size_t:s. The impact can be reduced by instead using unsigned longs
and printing with %lu, which is easily done in our code. For ET runtime code, it is a bit more complicated. Reduce impact by extending the ArmMemoryAllocator
subclass to fix its error messages, to at least print proper diagnostics for memory problems.
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218 @mansnils @Sebastian-Larsson @robell @rascani