[Dev] Optimize TE cudagraph input memory

[buptzyb]

What does this PR do ?

main PR #2392

Reuse TE cudagraph static input tensor memory buffer among microbatches. This doesn't reduce memory when cudagraph is running up. But if you have a large number of microbatches, this reduces the memory used to preprare the static input tensors for cudagraph capturing.

:warning: For major changes (either in lines of code or in its impact), please make sure to first share discuss a design-doc with the team.

Contribution process

flowchart LR
    A[Pre-checks] --> B[PR Tests]
    subgraph Code Review/Approval
        C1[Expert Review] --> C2[Final Review]
    end
    B --> C1
    C2 --> D[Merge]

Pre-checks

• [ ] I want this PR in a versioned release and have added the appropriate Milestone (e.g., Core 0.8)
• [ ] I have added relevant unit tests
• [ ] I have added relevant functional tests
• [ ] I have added proper typing to my code Typing guidelines
• [ ] I have added relevant documentation
• [ ] I have run the autoformatter.sh on my PR

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[buptzyb]

/ok to test c04b798921215af6a3b8d17853e4e09dce23c90a

[buptzyb]

/ok to test c08df6609d7ab236d950deb25e1e22f2f25880d2

[yanring]

This PR introduces significant logic changes but no corresponding unit tests. Please consider add tests for _get_sample_arguments()

[buptzyb]

This PR introduces significant logic changes but no corresponding unit tests. Please consider add tests for _get_sample_arguments()

Added to test_cuda_graphs.py

[buptzyb]

/ok to test c3a590ff650824fba8ba3944a9194aee7ed25dd2

[buptzyb]

/ok to test c8ecbb436ea9fe30e6d784506f83d88b26a59b29

[buptzyb]

/ok to test 3a082d0db1e37b63f1d9a7903d2003685cd85a91