[Bug]: Benchmark script - TypeError: argument 'text': 'list' object cannot be converted to 'PyString' #12144
Description
Your current environment
The output of `python collect_env.py`
RuntimeWarning: Failed to read commit hash:
No module named 'vllm._version'
from vllm.version import __version__ as VLLM_VERSION
Collecting environment information...
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A
OS: Ubuntu 22.04.3 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.35
Python version: 3.11.10 (main, Oct 3 2024, 07:29:13) [GCC 11.2.0] (64-bit runtime)
Python platform: Linux-5.15.0-124-generic-x86_64-with-glibc2.35
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
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, 48 bits virtual
Byte Order: Little Endian
CPU(s): 16
On-line CPU(s) list: 0-15
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz
CPU family: 15
Model: 6
Thread(s) per core: 1
Core(s) per socket: 1
Socket(s): 16
Stepping: 1
BogoMIPS: 5200.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss syscall nx pdpe1gb rdtscp lm constant_tsc nopl xtopology cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single ssbd ibrs ibpb stibp ibrs_enhanced fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves wbnoinvd arat avx512vbmi umip avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid fsrm md_clear arch_capabilities
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 512 KiB (16 instances)
L1i cache: 512 KiB (16 instances)
L2 cache: 64 MiB (16 instances)
L3 cache: 256 MiB (16 instances)
NUMA node(s): 1
NUMA node0 CPU(s): 0-15
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Unknown: No mitigations
Vulnerability Reg file data sampling: Not affected
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 / Automatic IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI SW loop, KVM SW loop
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[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-ml-py==12.560.30
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pyzmq==26.2.0
[pip3] torch==2.5.1
[pip3] torchvision==0.20.1
[pip3] transformers==4.45.2
[pip3] triton==3.1.0
[pip3] zmq==0.0.0
[conda] numpy 1.26.4 pypi_0 pypi
[conda] nvidia-cublas-cu12 12.4.5.8 pypi_0 pypi
[conda] nvidia-cuda-cupti-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cuda-nvrtc-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cuda-runtime-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-cudnn-cu12 9.1.0.70 pypi_0 pypi
[conda] nvidia-cufft-cu12 11.2.1.3 pypi_0 pypi
[conda] nvidia-curand-cu12 10.3.5.147 pypi_0 pypi
[conda] nvidia-cusolver-cu12 11.6.1.9 pypi_0 pypi
[conda] nvidia-cusparse-cu12 12.3.1.170 pypi_0 pypi
[conda] nvidia-ml-py 12.560.30 pypi_0 pypi
[conda] nvidia-nccl-cu12 2.21.5 pypi_0 pypi
[conda] nvidia-nvjitlink-cu12 12.4.127 pypi_0 pypi
[conda] nvidia-nvtx-cu12 12.4.127 pypi_0 pypi
[conda] pyzmq 26.2.0 pypi_0 pypi
[conda] torch 2.5.1 pypi_0 pypi
[conda] torchvision 0.20.1 pypi_0 pypi
[conda] transformers 4.45.2 pypi_0 pypi
[conda] triton 3.1.0 pypi_0 pypi
[conda] zmq 0.0.0 pypi_0 pypi
ROCM Version: Could not collect
Neuron SDK Version: N/A
vLLM Version: N/A (dev)
vLLM Build Flags:
CUDA Archs: Not Set; ROCm: Disabled; Neuron: Disabled
GPU Topology:
Could not collect
LD_LIBRARY_PATH=/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/cv2/../../lib64:
Model Input Dumps
vllm version 0.6.6
Running below command -
python3 benchmarks/benchmark_serving.py --backend openai-chat --model msnemo24072h100gv --base-url <serving url> --dataset-name sonnet --dataset-path benchmarks/sonnet.txt --request-rate 16 --num-prompts 256 --endpoint /api/v1/chat/completions --sonnet-input-len=3864 --sonnet-output-len=200 --sonnet-prefix-len=3764 --tokenizer mistralai/Mistral-Nemo-Instruct-2407 --tokenizer-mode mistral
Getting below error
Traceback (most recent call last):
File "/home/vijay/vllm/benchmarks/benchmark_serving.py", line 1226, in <module>
main(args)
File "/home/vijay/vllm/benchmarks/benchmark_serving.py", line 821, in main
input_requests = sample_sonnet_requests(
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/vllm/benchmarks/benchmark_serving.py", line 149, in sample_sonnet_requests
poem_token_ids = tokenizer(poem_lines).input_ids
^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/vllm/transformers_utils/tokenizers/mistral.py", line 232, in __call__
input_ids = self.encode(prompt)
^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/vllm/transformers_utils/tokenizers/mistral.py", line 252, in encode
return self.tokenizer.encode(prompt, bos=True, eos=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/mistral_common/tokens/tokenizers/tekken.py", line 220, in encode
tokens: List[int] = self._model.encode(s)
^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/tiktoken/core.py", line 124, in encode
return self._core_bpe.encode(text, allowed_special)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: argument 'text': 'list' object cannot be converted to 'PyString'
🐛 Describe the bug
vllm version 0.6.6
Running below command -
python3 benchmarks/benchmark_serving.py --backend openai-chat --model msnemo24072h100gv --base-url <serving url> --dataset-name sonnet --dataset-path benchmarks/sonnet.txt --request-rate 16 --num-prompts 256 --endpoint /api/v1/chat/completions --sonnet-input-len=3864 --sonnet-output-len=200 --sonnet-prefix-len=3764 --tokenizer mistralai/Mistral-Nemo-Instruct-2407 --tokenizer-mode mistral
Getting below error
Traceback (most recent call last):
File "/home/vijay/vllm/benchmarks/benchmark_serving.py", line 1226, in <module>
main(args)
File "/home/vijay/vllm/benchmarks/benchmark_serving.py", line 821, in main
input_requests = sample_sonnet_requests(
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/vllm/benchmarks/benchmark_serving.py", line 149, in sample_sonnet_requests
poem_token_ids = tokenizer(poem_lines).input_ids
^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/vllm/transformers_utils/tokenizers/mistral.py", line 232, in __call__
input_ids = self.encode(prompt)
^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/vllm/transformers_utils/tokenizers/mistral.py", line 252, in encode
return self.tokenizer.encode(prompt, bos=True, eos=False)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/mistral_common/tokens/tokenizers/tekken.py", line 220, in encode
tokens: List[int] = self._model.encode(s)
^^^^^^^^^^^^^^^^^^^^^
File "/home/vijay/miniconda3/envs/nai/lib/python3.11/site-packages/tiktoken/core.py", line 124, in encode
return self._core_bpe.encode(text, allowed_special)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: argument 'text': 'list' object cannot be converted to 'PyString'
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