[ROCm] Effort to reduce the number of environment variables in command line

[hongxiayang]

This is to set two environment variables in the Docker file so that users can reduce the number of environment variables when running scripts.

ENV that can improve safe tensor loading, and end-to-end time

ENV SAFETENSORS_FAST_GPU=1

ENV that needed for multi-process on cuda-like platform

ENV VLLM_WORKER_MULTIPROC_METHOD=spawn

Test:

1. build the docker image

DOCKER_BUILDKIT=1 docker build -f docker/Dockerfile.rocm -t vllm-rocm .

3. run the docker container and check the env are set in the container

docker run --rm vllm-rocm env | grep spawn
VLLM_WORKER_MULTIPROC_METHOD=spawn

docker run --rm vllm-rocm env | grep FAST
SAFETENSORS_FAST_GPU=1

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[houseroad]

Can we add a test plan?

[chaunceyjiang]

ENV that can improve safe tensor loading,

I didn't find this variable in the vllm repository. Could you remind me why it can improve loading time?

[houseroad]

This is for the safe tensor, see https://huggingface.co/docs/safetensors/en/speed for more details.

[houseroad]

Can we add comment to elaborate why spawn is needed here? Is it due to some compatibility issue?

[hongxiayang]

Can we add comment to elaborate why spawn is needed here? Is it due to some compatibility issue?

There was time this was fixed for ROCm and the fix is to force using spawn when on ROCm platform. See below issue:
#7791

However, during llama4 enablement in March, I found the issue was back when running simple scripts, and we had set the env since then in our scripts.

So to make it safe and stable for all situations, I think it may be a user-friendly thing to put it in the docker file.

Right now, the default is set to "fork" in envs.py,

   # Use dedicated multiprocess context for workers.
   # Both spawn and fork work
   "VLLM_WORKER_MULTIPROC_METHOD":
   lambda: os.getenv("VLLM_WORKER_MULTIPROC_METHOD", "fork"),

But, if we search the code, there are many places to force setting "VLLM_WORKER_MULTIPROC_METHOD=spawn".
for example:

    if reason is not None:
        logger.warning(
            "We must use the `spawn` multiprocessing start method. "
            "Overriding VLLM_WORKER_MULTIPROC_METHOD to 'spawn'. "
            "See https://docs.vllm.ai/en/latest/getting_started/"
            "troubleshooting.html#python-multiprocessing "
            "for more information. Reason: %s", reason)
        os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"

[hongxiayang]

Can we add a test plan?

Added the test plan in the description of the pull request