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[Bug]: An error occurred when deploying DeepSeek-R1-Channel-INT8 on two A100 machines using lws #16827

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MouseSun846 opened this issue Apr 18, 2025 · 1 comment
Open
1 task done

[Bug]: An error occurred when deploying DeepSeek-R1-Channel-INT8 on two A100 machines using lws #16827

MouseSun846 opened this issue Apr 18, 2025 · 1 comment
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MouseSun846 commented Apr 18, 2025 •
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Your current environment

NFO 04-18 01:47:48 [init.py:239] Automatically detected platform cuda.
Collecting environment information...
PyTorch version: 2.6.0+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: version 4.0.0
Libc version: glibc-2.35

Python version: 3.12.10 (main, Apr 9 2025, 08:55:05) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-5.15.0-105-generic-x86_64-with-glibc2.35
Is CUDA available: True
CUDA runtime version: 12.4.131
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration:
GPU 0: NVIDIA A100-SXM4-80GB
GPU 1: NVIDIA A100-SXM4-80GB
GPU 2: NVIDIA A100-SXM4-80GB
GPU 3: NVIDIA A100-SXM4-80GB
GPU 4: NVIDIA A100-SXM4-80GB
GPU 5: NVIDIA A100-SXM4-80GB
GPU 6: NVIDIA A100-SXM4-80GB
GPU 7: NVIDIA A100-SXM4-80GB

Nvidia driver version: 560.35.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 128
On-line CPU(s) list: 0-127
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8352S CPU @ 2.20GHz
CPU family: 6
Model: 106
Thread(s) per core: 2
Core(s) per socket: 32
Socket(s): 2
Stepping: 6
CPU max MHz: 3400.0000
CPU min MHz: 800.0000
BogoMIPS: 4400.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 invpcid_single ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid fsrm md_clear pconfig flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 3 MiB (64 instances)
L1i cache: 2 MiB (64 instances)
L2 cache: 80 MiB (64 instances)
L3 cache: 96 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-31,64-95
NUMA node1 CPU(s): 32-63,96-127
Vulnerability Gather data sampling: Mitigation; Microcode
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] flashinfer-python==0.2.1.post2+cu124torch2.6
[pip3] numpy==2.2.4
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-cusparselt-cu12==0.6.2
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pyzmq==26.4.0
[pip3] torch==2.6.0
[pip3] torchaudio==2.6.0
[pip3] torchvision==0.21.0
[pip3] transformers==4.51.3
[pip3] triton==3.2.0
[conda] Could not collect
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: 0.8.4
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
GPU0 GPU1 GPU2 GPU3 GPU4 GPU5 GPU6 GPU7 NIC0 NIC1 NIC2 NIC3 NIC4 NIC5 NIC6 NIC7 NIC8 CPU Affinity NUMA Affinity GPU NUMA ID
GPU0 X PXB NODE NODE SYS SYS SYS SYS PXB PXB NODE NODE NODE SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU1 PXB X NODE NODE SYS SYS SYS SYS PXB PXB NODE NODE NODE SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU2 NODE NODE X PXB SYS SYS SYS SYS NODE NODE PXB PXB NODE SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU3 NODE NODE PXB X SYS SYS SYS SYS NODE NODE PXB PXB NODE SYS SYS SYS SYS 0-31,64-95 0 N/A
GPU4 SYS SYS SYS SYS X PXB NODE NODE SYS SYS SYS SYS SYS PXB PXB NODE NODE 32-63,96-127 1 N/A
GPU5 SYS SYS SYS SYS PXB X NODE NODE SYS SYS SYS SYS SYS PXB PXB NODE NODE 32-63,96-127 1 N/A
GPU6 SYS SYS SYS SYS NODE NODE X PXB SYS SYS SYS SYS SYS NODE NODE PXB PXB 32-63,96-127 1 N/A
GPU7 SYS SYS SYS SYS NODE NODE PXB X SYS SYS SYS SYS SYS NODE NODE PXB PXB 32-63,96-127 1 N/A
NIC0 PXB PXB NODE NODE SYS SYS SYS SYS X PXB NODE NODE NODE SYS SYS SYS SYS
NIC1 PXB PXB NODE NODE SYS SYS SYS SYS PXB X NODE NODE NODE SYS SYS SYS SYS
NIC2 NODE NODE PXB PXB SYS SYS SYS SYS NODE NODE X PIX NODE SYS SYS SYS SYS
NIC3 NODE NODE PXB PXB SYS SYS SYS SYS NODE NODE PIX X NODE SYS SYS SYS SYS
NIC4 NODE NODE NODE NODE SYS SYS SYS SYS NODE NODE NODE NODE X SYS SYS SYS SYS
NIC5 SYS SYS SYS SYS PXB PXB NODE NODE SYS SYS SYS SYS SYS X PXB NODE NODE
NIC6 SYS SYS SYS SYS PXB PXB NODE NODE SYS SYS SYS SYS SYS PXB X NODE NODE
NIC7 SYS SYS SYS SYS NODE NODE PXB PXB SYS SYS SYS SYS SYS NODE NODE X PXB
NIC8 SYS SYS SYS SYS NODE NODE PXB PXB SYS SYS SYS SYS SYS NODE NODE PXB 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
NIC8: mlx5_8

NVIDIA_VISIBLE_DEVICES=all
NVIDIA_REQUIRE_CUDA=cuda>=12.4 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
NCCL_VERSION=2.20.5-1
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NVIDIA_PRODUCT_NAME=CUDA
VLLM_USAGE_SOURCE=production-docker-image
CUDA_VERSION=12.4.0
LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NCCL_CUMEM_ENABLE=0
PYTORCH_NVML_BASED_CUDA_CHECK=1
TORCHINDUCTOR_COMPILE_THREADS=1
CUDA_MODULE_LOADING=LAZY

🐛 Describe the bug

(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620] loaded_weights = model.load_weights(
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620] ^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620] File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 798, in load_weights
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620] param = params_dict[name]
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620] ~~~~~~~~~~~^^^^^^
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620] KeyError: 'model.layers.6.mlp.experts.w2_weight_scale'

apiVersion: leaderworkerset.x-k8s.io/v1
kind: LeaderWorkerSet
metadata:
  name: vllm
spec:
  replicas: 1
  leaderWorkerTemplate:
    size: 2
    restartPolicy: RecreateGroupOnPodRestart
    leaderTemplate:
      metadata:
        labels:
          role: leader
      spec:
        containers:
          - name: vllm-leader
            image: docker.1ms.run/vllm/vllm-openai:v0.8.4
            env:
              - name: VLLM_LOGGING_LEVEL
                value: "DEBUG"
              - name: CUDA_LAUNCH_BLOCKING
                value: "1"
              - name: VLLM_PP_LAYER_PARTITION
                value: "31,30"
            command:
              - sh
              - -c
              - "bash /vllm-workspace/examples/online_serving/multi-node-serving.sh leader --ray_cluster_size=$(LWS_GROUP_SIZE); 
                 python3 -m vllm.entrypoints.openai.api_server --port 8080 --model /models --served-model-name deepseek-r1 --tensor-parallel-size 8 --pipeline_parallel_size 2 --trust-remote-code --max-model-len 65536 --gpu-memory-util 0.8"
            resources:
              limits:
                nvidia.com/nvidia-a100-sxm4-80GB: "8"
                memory: 300Gi
                ephemeral-storage: 100Gi
              requests:
                ephemeral-storage: 100Gi
                cpu: 100
            ports:
              - containerPort: 8080
            readinessProbe:
              tcpSocket:
                port: 8080
              initialDelaySeconds: 15
              periodSeconds: 10
            volumeMounts:
              - mountPath: /dev/shm
                name: dshm
              - mountPath: /models
                name: model-volume
        volumes:
        - name: dshm
          emptyDir:
            medium: Memory
            sizeLimit: 15Gi
        - name: model-volume
          hostPath:
            path: /data/lsy/modelscope/deepseek-ai/DeepSeek-R1-Channel-INT8/
            type: Directory
    workerTemplate:
      spec:
        containers:
          - name: vllm-worker
            image: docker.1ms.run/vllm/vllm-openai:v0.8.4
            env:
              - name: VLLM_LOGGING_LEVEL
                value: "DEBUG"
              - name: CUDA_LAUNCH_BLOCKING
                value: "1"              
              - name: VLLM_PP_LAYER_PARTITION 
                value: "31,30"
            command:
              - sh
              - -c
              - "bash /vllm-workspace/examples/online_serving/multi-node-serving.sh worker --ray_address=$(LWS_LEADER_ADDRESS)"
            resources:
              limits:
                nvidia.com/nvidia-a100-sxm4-80GB: "8"
                memory: 300Gi
                ephemeral-storage: 100Gi
              requests:
                ephemeral-storage: 100Gi
                cpu: 100
            volumeMounts:
              - mountPath: /dev/shm
                name: dshm
              - mountPath: /models
                name: model-volume
        volumes:
        - name: dshm
          emptyDir:
            medium: Memory
            sizeLimit: 15Gi
        - name: model-volume
          hostPath:
            path: /data/lsy/modelscope/deepseek-ai/DeepSeek-R1-Channel-INT8/
            type: Directory
---
apiVersion: v1
kind: Service
metadata:
  name: vllm-leader
spec:
  ports:
    - name: http
      port: 8080
      protocol: TCP
      targetPort: 8080
      nodePort: 18080
  selector:
    leaderworkerset.sigs.k8s.io/name: vllm
    role: leader
  type: NodePort
INFO 04-18 01:30:29 [model_runner.py:1110] Starting to load model /models...
(RayWorkerWrapper pid=296, ip=172.200.216.170) INFO 04-18 01:30:29 [parallel_state.py:959] rank 9 in world size 16 is assigned as DP rank 0, PP rank 1, TP rank 1
(RayWorkerWrapper pid=296, ip=172.200.216.170) DEBUG 04-18 01:30:29 [config.py:3908] enabled custom ops: Counter()
(RayWorkerWrapper pid=296, ip=172.200.216.170) DEBUG 04-18 01:30:29 [config.py:3910] disabled custom ops: Counter()
(RayWorkerWrapper pid=296, ip=172.200.216.170) INFO 04-18 01:30:29 [model_runner.py:1110] Starting to load model /models...
DEBUG 04-18 01:30:29 [decorators.py:109] Inferred dynamic dimensions for forward method of <class 'vllm.model_executor.models.deepseek_v2.DeepseekV2Model'>: ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds']
(RayWorkerWrapper pid=582) DEBUG 04-18 01:30:29 [decorators.py:109] Inferred dynamic dimensions for forward method of <class 'vllm.model_executor.models.deepseek_v2.DeepseekV2Model'>: ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds']
DEBUG 04-18 01:30:29 [config.py:3908] enabled custom ops: Counter({'rms_norm': 124, 'silu_and_mul': 31, 'unquantized_fused_moe': 28, 'rotary_embedding': 1})
DEBUG 04-18 01:30:29 [config.py:3910] disabled custom ops: Counter()
(RayWorkerWrapper pid=582) DEBUG 04-18 01:30:29 [config.py:3908] enabled custom ops: Counter({'rms_norm': 124, 'silu_and_mul': 31, 'unquantized_fused_moe': 28, 'rotary_embedding': 1})
Loading safetensors checkpoint shards:   0% Completed | 0/163 [00:00<?, ?it/s]
ERROR 04-18 01:30:30 [worker_base.py:620] Error executing method 'load_model'. This might cause deadlock in distributed execution.
ERROR 04-18 01:30:30 [worker_base.py:620] Traceback (most recent call last):
ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker_base.py", line 612, in execute_method
ERROR 04-18 01:30:30 [worker_base.py:620]     return run_method(self, method, args, kwargs)
ERROR 04-18 01:30:30 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/utils.py", line 2378, in run_method
ERROR 04-18 01:30:30 [worker_base.py:620]     return func(*args, **kwargs)
ERROR 04-18 01:30:30 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^
ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker.py", line 183, in load_model
ERROR 04-18 01:30:30 [worker_base.py:620]     self.model_runner.load_model()
ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/model_runner.py", line 1113, in load_model
ERROR 04-18 01:30:30 [worker_base.py:620]     self.model = get_model(vllm_config=self.vllm_config)
ERROR 04-18 01:30:30 [worker_base.py:620]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/__init__.py", line 14, in get_model
ERROR 04-18 01:30:30 [worker_base.py:620]     return loader.load_model(vllm_config=vllm_config)
ERROR 04-18 01:30:30 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/loader.py", line 455, in load_model
ERROR 04-18 01:30:30 [worker_base.py:620]     loaded_weights = model.load_weights(
ERROR 04-18 01:30:30 [worker_base.py:620]                      ^^^^^^^^^^^^^^^^^^^
ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 798, in load_weights
ERROR 04-18 01:30:30 [worker_base.py:620]     param = params_dict[name]
ERROR 04-18 01:30:30 [worker_base.py:620]             ~~~~~~~~~~~^^^^^^
ERROR 04-18 01:30:30 [worker_base.py:620] KeyError: 'model.layers.6.mlp.experts.w2_weight_scale'
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620] Error executing method 'load_model'. This might cause deadlock in distributed execution.
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620] Traceback (most recent call last):
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker_base.py", line 612, in execute_method
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     return run_method(self, method, args, kwargs)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/utils.py", line 2378, in run_method
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     return func(*args, **kwargs)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker.py", line 183, in load_model
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.model_runner.load_model()
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/model_runner.py", line 1113, in load_model
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.model = get_model(vllm_config=self.vllm_config)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/__init__.py", line 14, in get_model
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     return loader.load_model(vllm_config=vllm_config)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/loader.py", line 452, in load_model
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     model = _initialize_model(vllm_config=vllm_config)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/loader.py", line 133, in _initialize_model
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     return model_class(vllm_config=vllm_config, prefix=prefix)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 680, in __init__
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.model = DeepseekV2Model(vllm_config=vllm_config,
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/compilation/decorators.py", line 151, in __init__
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     old_init(self, vllm_config=vllm_config, prefix=prefix, **kwargs)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 619, in __init__
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.start_layer, self.end_layer, self.layers = make_layers(
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                                                     ^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/utils.py", line 610, in make_layers
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     maybe_offload_to_cpu(layer_fn(prefix=f"{prefix}.{idx}"))
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 621, in <lambda>
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     lambda prefix: DeepseekV2DecoderLayer(
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                    ^^^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 530, in __init__
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.mlp = DeepseekV2MoE(
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                ^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 124, in __init__
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.experts = FusedMoE(
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                    ^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/layers/fused_moe/layer.py", line 520, in __init__
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.quant_method.create_weights(layer=self, **moe_quant_params)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/layers/fused_moe/layer.py", line 93, in create_weights
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     w2_weight = torch.nn.Parameter(torch.empty(
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                                    ^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/torch/utils/_device.py", line 104, in __torch_function__
[rank0]: Traceback (most recent call last):
[rank0]:   File "<frozen runpy>", line 198, in _run_module_as_main
[rank0]:   File "<frozen runpy>", line 88, in _run_code
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 1121, in <module>
[rank0]:     uvloop.run(run_server(args))
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/uvloop/__init__.py", line 109, in run
[rank0]:     return __asyncio.run(
[rank0]:            ^^^^^^^^^^^^^^
[rank0]:   File "/usr/lib/python3.12/asyncio/runners.py", line 195, in run
[rank0]:     return runner.run(main)
[rank0]:            ^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
[rank0]:     return self._loop.run_until_complete(task)
[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/uvloop/__init__.py", line 61, in wrapper
[rank0]:     return await main
[rank0]:            ^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 1069, in run_server
[rank0]:     async with build_async_engine_client(args) as engine_client:
[rank0]:                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
[rank0]:     return await anext(self.gen)
[rank0]:            ^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 146, in build_async_engine_client
[rank0]:     async with build_async_engine_client_from_engine_args(
[rank0]:                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
[rank0]:     return await anext(self.gen)
[rank0]:            ^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/entrypoints/openai/api_server.py", line 194, in build_async_engine_client_from_engine_args
[rank0]:     engine_client = AsyncLLMEngine.from_vllm_config(
[rank0]:                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/engine/async_llm_engine.py", line 653, in from_vllm_config
[rank0]:     return cls(
[rank0]:            ^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/engine/async_llm_engine.py", line 608, in __init__
[rank0]:     self.engine = self._engine_class(*args, **kwargs)
[rank0]:                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/engine/async_llm_engine.py", line 267, in __init__
[rank0]:     super().__init__(*args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/engine/llm_engine.py", line 282, in __init__
[rank0]:     self.model_executor = executor_class(vllm_config=vllm_config, )
[rank0]:                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/executor/executor_base.py", line 286, in __init__
[rank0]:     super().__init__(*args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/executor/executor_base.py", line 52, in __init__
[rank0]:     self._init_executor()
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/executor/ray_distributed_executor.py", line 114, in _init_executor
[rank0]:     self._init_workers_ray(placement_group)
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/executor/ray_distributed_executor.py", line 396, in _init_workers_ray
[rank0]:     self._run_workers("load_model",
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/executor/ray_distributed_executor.py", line 516, in _run_workers
[rank0]:     self.driver_worker.execute_method(sent_method, *args, **kwargs)
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker_base.py", line 621, in execute_method
[rank0]:     raise e
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker_base.py", line 612, in execute_method
[rank0]:     return run_method(self, method, args, kwargs)
[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/utils.py", line 2378, in run_method
[rank0]:     return func(*args, **kwargs)
[rank0]:            ^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker.py", line 183, in load_model
[rank0]:     self.model_runner.load_model()
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/model_runner.py", line 1113, in load_model
[rank0]:     self.model = get_model(vllm_config=self.vllm_config)
[rank0]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/__init__.py", line 14, in get_model
[rank0]:     return loader.load_model(vllm_config=vllm_config)
[rank0]:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/loader.py", line 455, in load_model
[rank0]:     loaded_weights = model.load_weights(
[rank0]:                      ^^^^^^^^^^^^^^^^^^^
[rank0]:   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 798, in load_weights
[rank0]:     param = params_dict[name]
[rank0]:             ~~~~~~~~~~~^^^^^^
[rank0]: KeyError: 'model.layers.6.mlp.experts.w2_weight_scale'
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     return func(*args, **kwargs)
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=296, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620] torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 896.00 MiB. GPU 1 has a total capacity of 79.25 GiB of which 768.00 KiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 77.67 GiB is allocated by PyTorch, and 150.52 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
(RayWorkerWrapper pid=295, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620] torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 896.00 MiB. GPU 0 has a total capacity of 79.25 GiB of which 144.75 MiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 77.67 GiB is allocated by PyTorch, and 150.52 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620]     loaded_weights = model.load_weights(
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620]                      ^^^^^^^^^^^^^^^^^^^
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 798, in load_weights
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620]     param = params_dict[name]
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620]             ~~~~~~~~~~~^^^^^^
(RayWorkerWrapper pid=580) ERROR 04-18 01:30:30 [worker_base.py:620] KeyError: 'model.layers.6.mlp.experts.w2_weight_scale'
(RayWorkerWrapper pid=299, ip=172.200.216.170) INFO 04-18 01:30:28 [custom_all_reduce_utils.py:244] reading GPU P2P access cache from /root/.cache/vllm/gpu_p2p_access_cache_for_0,1,2,3,4,5,6,7.json [repeated 14x across cluster]
(RayWorkerWrapper pid=584) INFO 04-18 01:30:28 [utils.py:993] Found nccl from library libnccl.so.2 [repeated 15x across cluster]
(RayWorkerWrapper pid=584) INFO 04-18 01:30:28 [pynccl.py:69] vLLM is using nccl==2.21.5 [repeated 15x across cluster]
(RayWorkerWrapper pid=584) DEBUG 04-18 01:30:28 [shm_broadcast.py:288] Connecting to ipc:///tmp/d42c5e60-d838-40b2-962a-81284028fa6d [repeated 13x across cluster]
(RayWorkerWrapper pid=584) INFO 04-18 01:30:29 [parallel_state.py:959] rank 7 in world size 16 is assigned as DP rank 0, PP rank 0, TP rank 7 [repeated 14x across cluster]
(RayWorkerWrapper pid=584) DEBUG 04-18 01:30:29 [config.py:3908] enabled custom ops: Counter() [repeated 14x across cluster]
(RayWorkerWrapper pid=584) DEBUG 04-18 01:30:29 [config.py:3910] disabled custom ops: Counter() [repeated 21x across cluster]
(RayWorkerWrapper pid=584) INFO 04-18 01:30:29 [model_runner.py:1110] Starting to load model /models... [repeated 14x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) DEBUG 04-18 01:30:29 [decorators.py:109] Inferred dynamic dimensions for forward method of <class 'vllm.model_executor.models.deepseek_v2.DeepseekV2Model'>: ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [repeated 14x across cluster]
(RayWorkerWrapper pid=584) DEBUG 04-18 01:30:29 [config.py:3908] enabled custom ops: Counter({'rms_norm': 124, 'silu_and_mul': 31, 'unquantized_fused_moe': 28, 'rotary_embedding': 1}) [repeated 6x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620] Error executing method 'load_model'. This might cause deadlock in distributed execution. [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620] Traceback (most recent call last): [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/worker/worker_base.py", line 612, in execute_method [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]     return run_method(self, method, args, kwargs) [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/utils.py", line 2378, in run_method [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]     return func(*args, **kwargs) [repeated 21x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^ [repeated 21x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/loader.py", line 455, in load_model [repeated 42x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]     self.model_runner.load_model() [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]     self.model = get_model(vllm_config=self.vllm_config) [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/__init__.py", line 14, in get_model [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]     return loader.load_model(vllm_config=vllm_config) [repeated 14x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [repeated 21x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     model = _initialize_model(vllm_config=vllm_config) [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/model_loader/loader.py", line 133, in _initialize_model [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     return model_class(vllm_config=vllm_config, prefix=prefix) [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/layers/fused_moe/layer.py", line 520, in __init__ [repeated 42x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.model = DeepseekV2Model(vllm_config=vllm_config, [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     old_init(self, vllm_config=vllm_config, prefix=prefix, **kwargs) [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.start_layer, self.end_layer, self.layers = make_layers( [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                                    ^^^^^^^^^^^^ [repeated 14x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/utils.py", line 610, in make_layers [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     maybe_offload_to_cpu(layer_fn(prefix=f"{prefix}.{idx}")) [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 621, in <lambda> [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     lambda prefix: DeepseekV2DecoderLayer( [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                    ^^^^^^^^^^^^^^^^^^^^^^^ [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.mlp = DeepseekV2MoE( [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                ^^^^^^^^^^^^^^ [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.experts = FusedMoE( [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]                    ^^^^^^^^^ [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     self.quant_method.create_weights(layer=self, **moe_quant_params) [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/layers/fused_moe/layer.py", line 93, in create_weights [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]     w2_weight = torch.nn.Parameter(torch.empty( [repeated 7x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/torch/utils/_device.py", line 104, in __torch_function__ [repeated 7x across cluster]
(RayWorkerWrapper pid=301, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620] torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 896.00 MiB. GPU 4 has a total capacity of 79.25 GiB of which 768.00 KiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 77.67 GiB is allocated by PyTorch, and 150.52 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) [repeated 5x across cluster]
(RayWorkerWrapper pid=299, ip=172.200.216.170) ERROR 04-18 01:30:29 [worker_base.py:620] torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 896.00 MiB. GPU 7 has a total capacity of 79.25 GiB of which 144.75 MiB is free. Including non-PyTorch memory, this process has 0 bytes memory in use. Of the allocated memory 77.67 GiB is allocated by PyTorch, and 150.52 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]     loaded_weights = model.load_weights( [repeated 6x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]                      ^^^^^^^^^^^^^^^^^^^ [repeated 6x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]   File "/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/deepseek_v2.py", line 798, in load_weights [repeated 6x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]     param = params_dict[name] [repeated 6x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620]             ~~~~~~~~~~~^^^^^^ [repeated 6x across cluster]
(RayWorkerWrapper pid=583) ERROR 04-18 01:30:30 [worker_base.py:620] KeyError: 'model.layers.6.mlp.experts.w2_weight_scale' [repeated 6x across cluster]
INFO 04-18 01:30:31 [ray_distributed_executor.py:127] Shutting down Ray distributed executor. If you see error log from logging.cc regarding SIGTERM received, please ignore because this is the expected termination process in Ray.
Loading safetensors checkpoint shards:   0% Completed | 0/163 [00:01<?, ?it/s]

/usr/lib/python3.12/multiprocessing/resource_tracker.py:279: UserWarning: resource_tracker: There appear to be 1 leaked shared_memory objects to clean up at shutdown
  warnings.warn('resource_tracker: There appear to be %d '
[rank0]:[W418 01:30:31.261602207 ProcessGroupNCCL.cpp:1496] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator())

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@MouseSun846 MouseSun846 added the bug Something isn't working label Apr 18, 2025
@longqu
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longqu commented Apr 22, 2025

same here

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