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Describe the bug

After regular pip install sglang[all]==0.4.4.post2, could find compressed-tensors not being added as dependencies but imported in sglang/srt/layers/quantization/compressed_tensors/compressed_tensors.py

Reproduction

ray.exceptions.RayTaskError(ModuleNotFoundError): ray::WorkerDict.actor_rollout_init_model() (pid=458554, ip=172.17.0.22, actor_id=af5f1a50b5cf4e2906bf1a4501000000, repr=<verl.single_controller.ray.base.WorkerDict object at 0x7f8e89452440>)
  File "/sgl-workspace/sw-verl/verl/single_controller/ray/base.py", line 419, in func
    return getattr(self.worker_dict[key], name)(*args, **kwargs)
  File "/sgl-workspace/sw-verl/verl/single_controller/base/decorator.py", line 404, in inner
    return func(*args, **kwargs)
  File "/sgl-workspace/sw-verl/verl/workers/fsdp_workers.py", line 410, in init_model
    self.rollout, self.rollout_sharding_manager = self._build_rollout()
  File "/sgl-workspace/sw-verl/verl/workers/fsdp_workers.py", line 339, in _build_rollout
    from verl.workers.rollout.sglang_rollout import SGLangRollout
  File "/sgl-workspace/sw-verl/verl/workers/rollout/sglang_rollout/__init__.py", line 14, in <module>
    from .sglang_rollout import SGLangRollout
  File "/sgl-workspace/sw-verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py", line 37, in <module>
    from sglang.srt.entrypoints.verl_engine import VerlEngine
  File "/sgl-workspace/sw-verl/.venv/lib/python3.10/site-packages/sglang/srt/entrypoints/verl_engine.py", line 21, in <module>
    from sglang.srt.model_executor.model_runner import LocalSerializedTensor
  File "/sgl-workspace/sw-verl/.venv/lib/python3.10/site-packages/sglang/srt/model_executor/model_runner.py", line 30, in <module>
    from sglang.srt.configs.model_config import AttentionArch, ModelConfig
  File "/sgl-workspace/sw-verl/.venv/lib/python3.10/site-packages/sglang/srt/configs/model_config.py", line 25, in <module>
    from sglang.srt.layers.quantization import (
  File "/sgl-workspace/sw-verl/.venv/lib/python3.10/site-packages/sglang/srt/layers/quantization/__init__.py", line 46, in <module>
    from sglang.srt.layers.quantization.compressed_tensors.compressed_tensors import (
  File "/sgl-workspace/sw-verl/.venv/lib/python3.10/site-packages/sglang/srt/layers/quantization/compressed_tensors/compressed_tensors.py", line 9, in <module>
    from compressed_tensors.config import (
ModuleNotFoundError: No module named 'compressed_tensors'

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: 550.144.03
PyTorch: 2.5.1+cu124
sglang: 0.4.4.post2
sgl_kernel: 0.0.5.post3
flashinfer: Module Not Found
triton: 3.1.0
transformers: 4.50.0
torchao: 0.9.0
numpy: 1.26.4
aiohttp: 3.11.14
fastapi: 0.115.12
hf_transfer: 0.1.9
huggingface_hub: 0.29.3
interegular: 0.3.3
modelscope: 1.24.0
orjson: 3.10.16
outlines: 0.0.46
packaging: 24.2
psutil: 7.0.0
pydantic: 2.10.6
multipart: Module Not Found
zmq: Module Not Found
uvicorn: 0.34.0
uvloop: 0.21.0
vllm: 0.6.3
xgrammar: 0.1.16
openai: 1.68.2
tiktoken: 0.9.0
anthropic: 0.49.0
litellm: 1.64.1
decord: 0.6.0
NVIDIA Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 NIC4 NIC5 NIC6 NIC7 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X NV18 NV18 NV18 NV18 NV18 NV18 NV18 PIX NODE NODE NODE SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU1 NV18 X NV18 NV18 NV18 NV18 NV18 NV18 NODE PIX NODE NODE SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU2 NV18 NV18 X NV18 NV18 NV18 NV18 NV18 NODE NODE PIX NODE SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU3 NV18 NV18 NV18 X NV18 NV18 NV18 NV18 NODE NODE NODE PIX SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU4 NV18 NV18 NV18 NV18 X NV18 NV18 NV18 SYS SYS SYS SYS PIX NODE NODE NODE 32-63,96-127 1 N/A
GPU5 NV18 NV18 NV18 NV18 NV18 X NV18 NV18 SYS SYS SYS SYS NODE PIX NODE NODE 32-63,96-127 1 N/A
GPU6 NV18 NV18 NV18 NV18 NV18 NV18 X NV18 SYS SYS SYS SYS NODE NODE PIX NODE 32-63,96-127 1 N/A
GPU7 NV18 NV18 NV18 NV18 NV18 NV18 NV18 X SYS SYS SYS SYS NODE NODE NODE PIX 32-63,96-127 1 N/A
NIC0 PIX NODE NODE NODE SYS SYS SYS SYS X NODE NODE NODE SYS SYS SYS SYS
NIC1 NODE PIX NODE NODE SYS SYS SYS SYS NODE X NODE NODE SYS SYS SYS SYS
NIC2 NODE NODE PIX NODE SYS SYS SYS SYS NODE NODE X NODE SYS SYS SYS SYS
NIC3 NODE NODE NODE PIX SYS SYS SYS SYS NODE NODE NODE X SYS SYS SYS SYS
NIC4 SYS SYS SYS SYS PIX NODE NODE NODE SYS SYS SYS SYS X NODE NODE NODE
NIC5 SYS SYS SYS SYS NODE PIX NODE NODE SYS SYS SYS SYS NODE X NODE NODE
NIC6 SYS SYS SYS SYS NODE NODE PIX NODE SYS SYS SYS SYS NODE NODE X NODE
NIC7 SYS SYS SYS SYS NODE NODE NODE PIX SYS SYS SYS SYS NODE NODE NODE X

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

NIC Legend:

NIC0: mlx5_0
NIC1: mlx5_1
NIC2: mlx5_2
NIC3: mlx5_3
NIC4: mlx5_4
NIC5: mlx5_5
NIC6: mlx5_6
NIC7: mlx5_7