Fix PyTorch 2.9+ TF32 API deprecation warning

[Fathi7ma]

• Update training_args.py to use new PyTorch 2.9+ API with backward compatibility
• Update conftest.py CI configuration for new TF32 API
• Update modular_model_detector.py to use new API
• Update documentation in English, Japanese, and Korean with version-aware examples
• Supports both PyTorch < 2.9.0 (old API) and >= 2.9.0 (new API)
• Fixes vllm#29349 - MoE models can now load on Turing architecture

New API: torch.backends.cuda.matmul.fp32_precision = 'tf32'
Old API: torch.backends.cuda.matmul.allow_tf32 = True (deprecated)

What does this PR do?

Fixes # (issue)

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