Unblock migraphx and linux GPU training ci pipelines

[Tianlei Wu (tianleiwu)]

Description

• Fix migraphx build error caused by [MIGraphX EP] Set External Data Path #21598:
  Add a conditional compile on code block that depends on ROCm >= 6.2. Note that the pipeline uses ROCm 6.0.

Unblock orttraining-linux-gpu-ci-pipeline and orttraining-ortmodule-distributed and orttraining-amd-gpu-ci-pipeline pipelines:

• Disable a model test in linux GPU training ci pipelines caused by Adding CUDNN Frontend and use for CUDA NN Convolution #19470:
  Sometime, cudnn frontend throws exception that cudnn graph does not support a Conv node of keras_lotus_resnet3D model on V100 GPU.
  Note that same test does not throw exception in other GPU pipelines. The failure might be related to cudnn 8.9 and V100 GPU used in the pipeline (Amper GPUs and cuDNN 9.x do not have the issue).
  The actual fix requires fallback logic, which will take time to implement, so we temporarily disable the test in training pipelines.
• Force install torch for cuda 11.8. (The docker has torch 2.4.0 for cuda 12.1 to build torch extension, which it is not compatible cuda 11.8). Note that this is temporary walkround. More elegant fix is to make sure right torch version in docker build step, that might need update install_python_deps.sh and corresponding requirements.txt.
• Skip test_gradient_correctness_conv1d since it causes segment fault. Root cause need more investigation (maybe due to cudnn frontend as well).
• Skip test_aten_attention since it causes assert failure. Root cause need more investigation (maybe due to torch version).
• Skip orttraining_ortmodule_distributed_tests.py since it has error that compiler for torch extension does not support c++17. One possible fix it to set the following compile argument inside setup.py of extension fused_adam: extra_compile_args['cxx'] = ['-std=c++17']. However, due to the urgency of unblocking the pipelines, just disable the test for now.
• skip test_softmax_bf16_large. torch.cuda.is_bf16_supported() returns True in V100 for torch>= 2.2 (but False for torch <= 2.1), so the test was run in CI, but V100 does not support bf16 natively.
• Fix typo of deterministic

Motivation and Context