Problems installing sglang with jetson-containers

Reference Links: https://docs.sglang.ai/references/nvidia_jetson.html

Error while executing
CUDA_VERSION=12.6 jetson-containers build sglang

error message
sudo docker run -t --rm --runtime=nvidia --network=host
--volume /home/lmxox/jetson-containers/packages/llm/transformers:/test
--volume /home/lmxox/jetson-containers/data:/data
--workdir /test
sglang:r36.4.3-cu126-transformers
/bin/bash -c 'python3 test_version.py'
2>&1 | tee /home/lmxox/jetson-containers/logs/20250510_102644/test/sglang_r36.4.3-cu126-transformers_test_version.py.txt; exit ${PIPESTATUS[0]}

/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py:105: FutureWarning: Using TRANSFORMERS_CACHE is deprecated and will be removed in v5 of Transformers. Use HF_HOME instead.
warnings.warn(
transformers version: 4.51.3
-- Testing container sglang:r36.4.3-cu126-transformers (transformers:4.51.3/huggingface-benchmark.py)

sudo docker run -t --rm --runtime=nvidia --network=host
--volume /home/lmxox/jetson-containers/packages/llm/transformers:/test
--volume /home/lmxox/jetson-containers/data:/data
--workdir /test
sglang:r36.4.3-cu126-transformers
/bin/bash -c 'python3 huggingface-benchmark.py'
2>&1 | tee /home/lmxox/jetson-containers/logs/20250510_102644/test/sglang_r36.4.3-cu126-transformers_huggingface-benchmark.py.txt; exit ${PIPESTATUS[0]}

/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py:105: FutureWarning: Using TRANSFORMERS_CACHE is deprecated and will be removed in v5 of Transformers. Use HF_HOME instead.
warnings.warn(
Namespace(model='distilgpt2', prompt='Once upon a time,', precision=None, tokens=[128], token='', runs=2, warmup=2, save='')
Running on device cuda
Input tokens: tensor([[7454, 2402, 257, 640, 11]], device='cuda:0') shape: torch.Size([1, 5])
Loading model distilgpt2 (None)
Traceback (most recent call last):
File "/test/huggingface-benchmark.py", line 71, in
model = AutoModelForCausalLM.from_pretrained(args.model, device_map=device, **kwargs) #AutoModelForCausalLM.from_pretrained(args.model, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py", line 571, in from_pretrained
return model_class.from_pretrained(
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 279, in _wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 4399, in from_pretrained
) = cls._load_pretrained_model(
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 4793, in _load_pretrained_model
caching_allocator_warmup(model_to_load, expanded_device_map, factor=2 if hf_quantizer is None else 4)
File "/usr/local/lib/python3.10/dist-packages/transformers/modeling_utils.py", line 5791, in caching_allocator_warmup
param_byte_count //= torch.distributed.get_world_size() if tp_plan_regex.search(generic_name) else 1
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 2020, in get_world_size
return _get_group_size(group)
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 986, in _get_group_size
default_pg = _get_default_group()
File "/usr/local/lib/python3.10/dist-packages/torch/distributed/distributed_c10d.py", line 1150, in _get_default_group
raise ValueError(
ValueError: Default process group has not been initialized, please make sure to call init_process_group.
Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/lmxox/jetson-containers/jetson_containers/build.py", line 120, in
build_container(args.name, args.packages, args.base, args.build_flags, args.build_args, args.simulate, args.skip_tests, args.test_only, args.push, args.no_github_api, args.skip_packages)
File "/home/lmxox/jetson-containers/jetson_containers/container.py", line 158, in build_container
test_container(container_name, pkg, simulate)
File "/home/lmxox/jetson-containers/jetson_containers/container.py", line 331, in test_container
status = subprocess.run(cmd.replace(NEWLINE, ' '), executable='/bin/bash', shell=True, check=True)
File "/usr/lib/python3.10/subprocess.py", line 526, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command 'sudo docker run -t --rm --runtime=nvidia --network=host --volume /home/lmxox/jetson-containers/packages/llm/transformers:/test --volume /home/lmxox/jetson-containers/data:/data --workdir /test sglang:r36.4.3-cu126-transformers /bin/bash -c 'python3 huggingface-benchmark.py' 2>&1 | tee /home/lmxox/jetson-containers/logs/20250510_102644/test/sglang_r36.4.3-cu126-transformers_huggingface-benchmark.py.txt; exit ${PIPESTATUS[0]}' returned non-zero exit status 1.

jetson infomation
Model: NVIDIA Jetson AGX Orin Developer Kit
Distribution: Ubuntu 22.04 Jammy Jellyfish 699-level Part Number: 699-63701-0001-BS1 A.0
Release: 5.15.148-tegra P-Number: p3701-0001
Python: 3.10.12
Libraries CUDA Arch BIN: 8.7
CUDA: 12.6.68 L4T: 36.4.3
cuDNN: 9.3.0.75 Jetpack: 6.2
TensorRT: 10.3.0.30