[dynamo] Add hasattr support for TupleVariable

[yoyoyocmu]

Summary:
This change adds support hasattr support for TupleVariable in dynamo.

This fix is part of: #117670

Test Plan: Unit test and CI

Differential Revision: D52850665

cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @aakhundov @kadeng

[pytorch-bot]

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✅ You can merge normally! (6 Unrelated Failures)

As of commit e555fb5 with merge base 84cfe6d ():

FLAKY - The following job failed but was likely due to flakiness present on trunk:

• inductor / cuda12.1-py3.10-gcc9-sm86 / test (inductor_distributed, 1, 1, linux.g5.12xlarge.nvidia.gpu) (gh)
  test/distributed/tensor/parallel/test_fsdp_2d_parallel.py::TestNew2dParallelTraining::test_2d_e2e_training_use_orig_params

BROKEN TRUNK - The following jobs failed but was present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• pull / linux-focal-py3_8-clang9-xla / test (xla, 1, 1, linux.12xlarge) (gh)
  Process completed with exit code 128.
• pull / linux-focal-py3.11-clang10 / test (dynamo, 2, 7, linux.2xlarge) (gh)
  functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_set__nop
• pull / linux-focal-py3.11-clang10 / test (dynamo, 7, 7, linux.2xlarge) (gh)
  functorch/test_aotdispatch.py::TestAOTAutograd::test_set__and_data_mutation_bad
• pull / linux-focal-py3.8-clang10 / test (dynamo, 3, 7, linux.2xlarge) (gh)
  functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_set__nop
• pull / linux-focal-py3.8-clang10 / test (dynamo, 6, 7, linux.2xlarge) (gh)
  functorch/test_aotdispatch.py::TestAOTAutograd::test_set__and_data_mutation_bad

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[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D52850665

[facebook-github-bot]

This pull request was exported from Phabricator. Differential Revision: D52850665

[facebook-github-bot]

@pytorchbot merge -f 'Landed internally'

(Initiating merge automatically since Phabricator Diff has merged, using force because this PR might not pass merge_rules.json but landed internally)

[pytorchmergebot]

Merge started

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[kkkkk-ux]

Is this fix finished? I still got torch._dynamo.exc.Unsupported: hasattr: TupleVariable() error when using dynamo export to export opt-125m model under gptq quantization algorithm.