Change torchao quantization types from int to size_t and preface vars with "preferred_"

[keyan]

Summary:

1. Change the types of activation_data_alignment and weight_data_alignment from int to size_t.
2. Change the return types of activation_data_size_fn_type and weight_data_size_fn_type from int to size_t.
3. Rename activation_data_alignment to preferred_activation_data_alignment.
4. Rename weight_data_alignment to preferred_weight_data_alignment

Differential Revision: D63873383

[pytorch-bot[bot]]

:link: Helpful Links

:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1041

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[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D63873383

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D63873383

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D63873383

[keyan]

Ready for another look @metascroy, thanks!

[metascroy]

Ready for another look @metascroy, thanks!

Changes look good! Did you rerun the tests after making them?

[keyan]

Changes look good! Did you rerun the tests after making them?

Yes, everything compiled/passed when running:

sh torchao/experimental/ops/benchmarks/build_and_run_benchmarks.sh
sh torchao/experimental/ops/linear_8bit_act_xbit_weight/examples/build_and_run_examples.sh stateful_class_wrapper
sh torchao/experimental/ops/linear_8bit_act_xbit_weight/examples/build_and_run_examples.sh separate_function_wrappers
sh torchao/experimental/build_torchao_ops.sh aten