Checklist

• 1. I have searched related issues but cannot get the expected help.
• 2. The bug has not been fixed in the latest version.
• 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.
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Describe the bug

I built a docker container with https://github.com/sgl-project/sglang/blob/main/docker/Dockerfile and got the following error when trying to serve deepseek-ai/DeepSeek-R1:

[2025-02-28 01:10:47 TP5] Ignore import error when loading sglang.srt.models.deepseek_nextn. No module named 'pytest'
[2025-02-28 01:10:47 TP0] Ignore import error when loading sglang.srt.models.deepseek_v2. No module named 'pytest'
...
ValueError: Model architectures ['DeepseekV3ForCausalLM'] are not supported for now. Supported architectures: dict_keys([...

Looks like pytest is imported in

Reproduction

Build a docker with https://github.com/sgl-project/sglang/blob/main/docker/Dockerfile and run:

docker run --gpus all \
  --shm-size 320g \
  -v ~/.cache/huggingface:/root/.cache/huggingface \
  --ipc=host --network=host --privileged \
  $DOCKER_URI \
    python3 -m sglang.launch_server \
    --host 0.0.0.0 \
    --port 30000 \
    --model deepseek-ai/DeepSeek-R1 \
    --trust-remote-code \
    --tp 8

Environment

Python: 3.10.12 (main, Feb 4 2025, 14:57:36) [GCC 11.4.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: NVIDIA H100 80GB HBM3
GPU 0,1,2,3,4,5,6,7 Compute Capability: 9.0
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 12.4, V12.4.131
CUDA Driver Version: 550.90.07
PyTorch: 2.5.1+cu124
sgl_kernel: 0.0.3.post6
flashinfer: 0.2.2.post1+cu124torch2.5
triton: 3.1.0
transformers: 4.48.3
torchao: 0.8.0
numpy: 1.26.4
aiohttp: 3.11.13
fastapi: 0.115.9
hf_transfer: 0.1.9
huggingface_hub: 0.29.1
interegular: 0.3.3
modelscope: 1.23.1
orjson: 3.10.15
packaging: 24.2
psutil: 7.0.0
pydantic: 2.10.6
multipart: 0.0.20
zmq: 26.2.1
uvicorn: 0.34.0
uvloop: 0.21.0
vllm: 0.7.2
openai: 1.65.1
tiktoken: 0.9.0
anthropic: 0.48.0
decord: 0.6.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 0-51,104-155 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 52-103,156-207 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 52-103,156-207 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 52-103,156-207 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X 52-103,156-207 1 N/A

Legend:

X = Self
SYS = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
PHB = Connection traversing PCIe as well as a PCIe Host Bridge (typically the CPU)
PXB = Connection traversing multiple PCIe bridges (without traversing the PCIe Host Bridge)
PIX = Connection traversing at most a single PCIe bridge
NV# = Connection traversing a bonded set of # NVLinks

Hypervisor vendor: KVM
ulimit soft: 1048576