[None][chore] Use CUDA 13 CUTLASS DSL package

[lfr-0531]

@coderabbitai summary

Description

Update the nvidia-cutlass-dsl dependency to install the CUDA 13 extra while keeping the package pinned to version 4.5.0 for Python 3.10 and newer. Mirror the dependency update in security_scanning/pyproject.toml and refresh security_scanning/poetry.lock so security scanning resolves the same extra and the nvidia-cutlass-dsl-libs-cu13 package.

Test Coverage

• python3.12 -m pip install --dry-run --ignore-installed --report /tmp/cutlass-cu13-report.json 'nvidia-cutlass-dsl[cu13]==4.5.0'
• /tmp/trtllm-poetry-venv/bin/poetry check --lock
• PATH=/usr/bin:$PATH pre-commit run --files requirements.txt security_scanning/pyproject.toml security_scanning/poetry.lock

PR Checklist

Please review the following before submitting your PR:

• PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.

• PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.

• Test cases are provided for new code paths (see test instructions)

• Any new dependencies have been scanned for license and vulnerabilities

• CODEOWNERS updated if ownership changes

• Documentation updated as needed

• Update tava architecture diagram if there is a significant design change in PR.

• The reviewers assigned automatically/manually are appropriate for the PR.

• Please check this after reviewing the above items as appropriate for this PR.

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