Fix bundled program and plan_execute in pybindings #4595
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/4595
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Summary: Pull Request resolved: pytorch#4595 Bundled programs needed to use the `plan_execute` function on ExecutorchModule because the inputs were previously loaded. Unfortunately this meant that the programs didn't work if they did not have pre-planned outputs (i.e. the caller is supposed to provide the memory). Share code for allocating outputs as necessary between `run_method` and `plan_execute`. Also share code for *returning* those outputs, as there doesn't seem to be a reason to execute the method without getting its output. In order for the output storage to live long enough for the bundled program comparison, add the storages as private data members of `PyModule`. As an improvement in user API, have `verify_result_with_bundled_expected_output` do all of these things at once for the user. Differential Revision: D60939315
Summary: Pull Request resolved: pytorch#4595 Bundled programs needed to use the `plan_execute` function on ExecutorchModule because the inputs were previously loaded. Unfortunately this meant that the programs didn't work if they did not have pre-planned outputs (i.e. the caller is supposed to provide the memory). Share code for allocating outputs as necessary between `run_method` and `plan_execute`. Also share code for *returning* those outputs, as there doesn't seem to be a reason to execute the method without getting its output. In order for the output storage to live long enough for the bundled program comparison, add the storages as private data members of `PyModule`. As an improvement in user API, have `verify_result_with_bundled_expected_output` do all of these things at once for the user. Differential Revision: D60939315
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Summary:
Bundled programs needed to use the
plan_executefunction on ExecutorchModulebecause the inputs were previously loaded. Unfortunately this meant that the
programs didn't work if they did not have pre-planned outputs
(i.e. the caller is supposed to provide the memory).
Share code for allocating outputs as necessary between
run_methodandplan_execute.Also share code for returning those outputs, as there doesn't seem to be a reason to
execute the method without getting its output.
In order for the output storage to live long enough for the bundled program comparison,
add the storages as private data members of
PyModule.Differential Revision: D60939315