gistfile1.txt

```

docker run --rm -it --ipc=host --network=host --group-add render \
    --privileged --security-opt seccomp=unconfined \
    --cap-add=CAP_SYS_ADMIN --cap-add=SYS_PTRACE \
    --device=/dev/kfd --device=/dev/dri --device=/dev/mem \
    -e HF_TOKEN=$HF_TOKEN -e HF_HOME=/data/model_cache \
    -e MODEL=$MODEL \
    -v $HF_HOME:/data/model_cache \
    -v $PWD/vllm:/app/vllm-upstream \
    rocm/vllm-dev:nightly /bin/bash

cd /app/vllm-upstream
pip install -e . --no-build-isolation

Once done running:

root@ENC1-CLS01-SVR08:/app/vllm-upstream# CUDA_VISIBLE_DEVICES=2 MODEL=mistralai/Mistral-Small-24B-Instruct-2501 vllm serve $MODEL --disable-log-requests
INFO 04-24 18:12:54 [__init__.py:239] Automatically detected platform rocm.
INFO 04-24 18:13:05 [api_server.py:1043] vLLM API server version 0.8.5.dev183+ga7b809e0f
INFO 04-24 18:13:05 [api_server.py:1044] args: Namespace(subparser='serve', model_tag='mistralai/Mistral-Small-24B-Instruct-2501', config='', host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='mistralai/Mistral-Small-24B-Instruct-2501', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=False, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=None, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.9, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=False, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=False, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', num_scheduler_steps=1, speculative_config=None, ignore_patterns=[], preemption_mode=None, served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, enable_chunked_prefill=None, multi_step_stream_outputs=True, scheduling_policy='fcfs', disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=True, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False, dispatch_function=<function ServeSubcommand.cmd at 0x7f7a70abec00>)
INFO 04-24 18:13:20 [config.py:718] This model supports multiple tasks: {'score', 'reward', 'generate', 'embed', 'classify'}. Defaulting to 'generate'.
INFO 04-24 18:13:20 [arg_utils.py:1706] rocm is experimental on VLLM_USE_V1=1. Falling back to V0 Engine.
INFO 04-24 18:13:20 [api_server.py:246] Started engine process with PID 3988
/app/vllm-upstream/vllm/transformers_utils/tokenizer_group/tokenizer_group.py:25: FutureWarning: It is strongly recommended to run mistral models with `--tokenizer-mode "mistral"` to ensure correct encoding and decoding.
  self.tokenizer = get_tokenizer(self.tokenizer_id, **tokenizer_config)
INFO 04-24 18:13:23 [__init__.py:239] Automatically detected platform rocm.
INFO 04-24 18:13:33 [llm_engine.py:243] Initializing a V0 LLM engine (v0.8.5.dev183+ga7b809e0f) with config: model='mistralai/Mistral-Small-24B-Instruct-2501', speculative_config=None, tokenizer='mistralai/Mistral-Small-24B-Instruct-2501', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='auto', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=None, served_model_name=mistralai/Mistral-Small-24B-Instruct-2501, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=None, chunked_prefill_enabled=False, use_async_output_proc=True, disable_mm_preprocessor_cache=False, mm_processor_kwargs=None, pooler_config=None, compilation_config={"splitting_ops":[],"compile_sizes":[],"cudagraph_capture_sizes":[256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":256}, use_cached_outputs=True,
/app/vllm-upstream/vllm/transformers_utils/tokenizer_group/tokenizer_group.py:25: FutureWarning: It is strongly recommended to run mistral models with `--tokenizer-mode "mistral"` to ensure correct encoding and decoding.
  self.tokenizer = get_tokenizer(self.tokenizer_id, **tokenizer_config)
ERROR 04-24 18:13:33 [engine.py:448] libcuda.so.1: cannot open shared object file: No such file or directory
ERROR 04-24 18:13:33 [engine.py:448] Traceback (most recent call last):
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/engine/multiprocessing/engine.py", line 436, in run_mp_engine
ERROR 04-24 18:13:33 [engine.py:448]     engine = MQLLMEngine.from_vllm_config(
ERROR 04-24 18:13:33 [engine.py:448]              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/engine/multiprocessing/engine.py", line 128, in from_vllm_config
ERROR 04-24 18:13:33 [engine.py:448]     return cls(
ERROR 04-24 18:13:33 [engine.py:448]            ^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/engine/multiprocessing/engine.py", line 82, in __init__
ERROR 04-24 18:13:33 [engine.py:448]     self.engine = LLMEngine(*args, **kwargs)
ERROR 04-24 18:13:33 [engine.py:448]                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/engine/llm_engine.py", line 282, in __init__
ERROR 04-24 18:13:33 [engine.py:448]     self.model_executor = executor_class(vllm_config=vllm_config, )
ERROR 04-24 18:13:33 [engine.py:448]                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/executor/executor_base.py", line 52, in __init__
ERROR 04-24 18:13:33 [engine.py:448]     self._init_executor()
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/executor/uniproc_executor.py", line 45, in _init_executor
ERROR 04-24 18:13:33 [engine.py:448]     self.collective_rpc("init_worker", args=([kwargs], ))
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/executor/uniproc_executor.py", line 56, in collective_rpc
ERROR 04-24 18:13:33 [engine.py:448]     answer = run_method(self.driver_worker, method, args, kwargs)
ERROR 04-24 18:13:33 [engine.py:448]              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/utils.py", line 2428, in run_method
ERROR 04-24 18:13:33 [engine.py:448]     return func(*args, **kwargs)
ERROR 04-24 18:13:33 [engine.py:448]            ^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/worker/worker_base.py", line 558, in init_worker
ERROR 04-24 18:13:33 [engine.py:448]     worker_class = resolve_obj_by_qualname(
ERROR 04-24 18:13:33 [engine.py:448]                    ^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/utils.py", line 2059, in resolve_obj_by_qualname
ERROR 04-24 18:13:33 [engine.py:448]     module = importlib.import_module(module_name)
ERROR 04-24 18:13:33 [engine.py:448]              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "/usr/lib/python3.12/importlib/__init__.py", line 90, in import_module
ERROR 04-24 18:13:33 [engine.py:448]     return _bootstrap._gcd_import(name[level:], package, level)
ERROR 04-24 18:13:33 [engine.py:448]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-24 18:13:33 [engine.py:448]   File "<frozen importlib._bootstrap>", line 1387, in _gcd_import
ERROR 04-24 18:13:33 [engine.py:448]   File "<frozen importlib._bootstrap>", line 1360, in _find_and_load
ERROR 04-24 18:13:33 [engine.py:448]   File "<frozen importlib._bootstrap>", line 1331, in _find_and_load_unlocked
ERROR 04-24 18:13:33 [engine.py:448]   File "<frozen importlib._bootstrap>", line 935, in _load_unlocked
ERROR 04-24 18:13:33 [engine.py:448]   File "<frozen importlib._bootstrap_external>", line 999, in exec_module
ERROR 04-24 18:13:33 [engine.py:448]   File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/worker/worker.py", line 12, in <module>
ERROR 04-24 18:13:33 [engine.py:448]     from vllm.device_allocator.cumem import CuMemAllocator
ERROR 04-24 18:13:33 [engine.py:448]   File "/app/vllm-upstream/vllm/device_allocator/cumem.py", line 49, in <module>
ERROR 04-24 18:13:33 [engine.py:448]     from vllm.cumem_allocator import (init_module, python_create_and_map,
ERROR 04-24 18:13:33 [engine.py:448] ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
Process SpawnProcess-1:
Traceback (most recent call last):
  File "/usr/lib/python3.12/multiprocessing/process.py", line 314, in _bootstrap
    self.run()
  File "/usr/lib/python3.12/multiprocessing/process.py", line 108, in run
    self._target(*self._args, **self._kwargs)
  File "/app/vllm-upstream/vllm/engine/multiprocessing/engine.py", line 450, in run_mp_engine
    raise e
  File "/app/vllm-upstream/vllm/engine/multiprocessing/engine.py", line 436, in run_mp_engine
    engine = MQLLMEngine.from_vllm_config(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/engine/multiprocessing/engine.py", line 128, in from_vllm_config
    return cls(
           ^^^^
  File "/app/vllm-upstream/vllm/engine/multiprocessing/engine.py", line 82, in __init__
    self.engine = LLMEngine(*args, **kwargs)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/engine/llm_engine.py", line 282, in __init__
    self.model_executor = executor_class(vllm_config=vllm_config, )
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/executor/executor_base.py", line 52, in __init__
    self._init_executor()
  File "/app/vllm-upstream/vllm/executor/uniproc_executor.py", line 45, in _init_executor
    self.collective_rpc("init_worker", args=([kwargs], ))
  File "/app/vllm-upstream/vllm/executor/uniproc_executor.py", line 56, in collective_rpc
    answer = run_method(self.driver_worker, method, args, kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/utils.py", line 2428, in run_method
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/worker/worker_base.py", line 558, in init_worker
    worker_class = resolve_obj_by_qualname(
                   ^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/utils.py", line 2059, in resolve_obj_by_qualname
    module = importlib.import_module(module_name)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/importlib/__init__.py", line 90, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<frozen importlib._bootstrap>", line 1387, in _gcd_import
  File "<frozen importlib._bootstrap>", line 1360, in _find_and_load
  File "<frozen importlib._bootstrap>", line 1331, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 935, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 999, in exec_module
  File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed
  File "/app/vllm-upstream/vllm/worker/worker.py", line 12, in <module>
    from vllm.device_allocator.cumem import CuMemAllocator
  File "/app/vllm-upstream/vllm/device_allocator/cumem.py", line 49, in <module>
    from vllm.cumem_allocator import (init_module, python_create_and_map,
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
Traceback (most recent call last):
  File "/usr/local/bin/vllm", line 8, in <module>
    sys.exit(main())
             ^^^^^^
  File "/app/vllm-upstream/vllm/entrypoints/cli/main.py", line 53, in main
    args.dispatch_function(args)
  File "/app/vllm-upstream/vllm/entrypoints/cli/serve.py", line 27, in cmd
    uvloop.run(run_server(args))
  File "/usr/local/lib/python3.12/dist-packages/uvloop/__init__.py", line 109, in run
    return __asyncio.run(
           ^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/asyncio/runners.py", line 195, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/usr/local/lib/python3.12/dist-packages/uvloop/__init__.py", line 61, in wrapper
    return await main
           ^^^^^^^^^^
  File "/app/vllm-upstream/vllm/entrypoints/openai/api_server.py", line 1078, in run_server
    async with build_async_engine_client(args) as engine_client:
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/entrypoints/openai/api_server.py", line 146, in build_async_engine_client
    async with build_async_engine_client_from_engine_args(
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/app/vllm-upstream/vllm/entrypoints/openai/api_server.py", line 269, in build_async_engine_client_from_engine_args
    raise RuntimeError(
RuntimeError: Engine process failed to start. See stack trace for the root cause.
```