[Bugfix][CI/Build][Hardware][AMD] Fix AMD tests, add HF cache, update CK FA, add partially supported model notes

[mawong-amd]

This PR attempts to fix existing failures on AMD tests.

• Metrics tests are currently failing because of [Core] draft_model_runner: Implement prepare_inputs on GPU for advance_step #6338, which accidentally added a hard requirement for vllm_flash_attn in vllm/spec_decode/draft_model_runner.py. This is not installed on ROCm, so the correct ROCm FA component is used instead.
• Basic correctness tests are currently failing because the test harness unconditionally installs flashinfer in a way that is not supported on ROCm. This installation is made optional: this shouldn't affect the esoteric case where flashinfer isn't correctly installed during CUDA tests, because 1. this will give an obvious error message at the beginning of the test and 2. flashinfer ModuleNotFoundError is also pretty obvious.
• Entrypoints tests are failing because they now depend on peft (due to [CORE] Adding support for insertion of soft-tuned prompts #4645) which is not currently installed in the AMD container. This in turns wants updated botocore and hence boto3 and awscli. These requirements are included in requirements-test.txt but are a small subset of it, so we do not install it for now. Once more AMD tests are enabled, we will begin using requirements-test.txt in earnest.
• Basic correctness tests were also failing because [ci][test] add correctness test for cpu offloading #6549 erroneously introduced a test involving compressed tensors quant on ROCm, where it is not supported.
• Model download sometimes takes an inordinately long time due to a flaky network configuration and contributes to tests (typically Distributed and Vision Language) hitting the 90 min timeout. This PR adds a HuggingFace models cache on AMD machines similar to what was done in Share HuggingFace downloads between test runs ci-infra#8. Note that this might not allow flaky tests to pass immediately, but the hope is that once each machine has had a chance to run all tests and incrementally build up its cache, the issue will eventually be resolved.
• Vision Language Models and Distributed tests are also failing because ROCm's Triton FA kernel hangs on a variety of cases, including PaliGemma full-precision tests (added in [Model] Add PaliGemma #5189) and multimodal broadcast with Phi-3-Vision. This is due to issues during Triton compilation which is solved by updating Triton.
• Even after updating Triton, Phi-3-Vision and PaliGemma are still problematic under certain settings because too much shared memory is reserved by the Triton kernel on some devices. As a temporary workaround, CK FA is updated and used instead for the relevant tests and the associated warnings for partial model support in ROCm are added.

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[mawong-amd]

/ready

[WoosukKwon]

This in turns wants updated botocore and hence boto3 and awscli

How is peft related to boto3 and awscli? Could you explain more?

[mawong-amd]

This in turns wants updated botocore and hence boto3 and awscli

How is peft related to boto3 and awscli? Could you explain more?

It's linked via urllib3 to botocore, which is linked to awscli and boto3. As far as I can tell, on the base image we use, awscli boto3 botocore peft is the smallest set to use to get the related dependencies working and reenable any tests we currently support.

[mawong-amd]

Rebased, fixed one more test regression, and is all green except LM Eval Small Models which seems to be broken in main. Ready to ship!