[Bug] Can not run vLLM with tensor parallel #1354
Comments
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Hi, the issue appears to be due to vLLM's inability to run the Mixtral model internally, rather than an issue with OpenCompass. I suggest trying to create a minimal reproducible script that excludes OpenCompass components. Instead, write a simple Python file to run this model using vLLM and see if it can be loaded successfully. |
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Thank you for your reply, I created a minimal reproducible script from vllm import LLM, SamplingParams
# Sample prompts.
prompts = [
"Hello, my name is",
"The president of the United States is",
"The capital of France is",
"The future of AI is",
]
# Create a sampling params object.
sampling_params = SamplingParams(temperature=0.8, top_p=0.95)
# Create an LLM.
llm = LLM(model="mistralai/Mixtral-8x7B-v0.1", tensor_parallel_size=8, download_dir="/home/data/huggingface", gpu_memory_utilization=0.9)
# Generate texts from the prompts. The output is a list of RequestOutput objects
# that contain the prompt, generated text, and other information.
outputs = llm.generate(prompts, sampling_params)
# Print the outputs.
for output in outputs:
prompt = output.prompt
generated_text = output.outputs[0].text
print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")and run it with command |
KevinWu2017
changed the title
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After trying more models, it appears that this issue seems to be related to tensor parallelism. When adjusting the configuration file |
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Thank you for reporting the issue. To resolve this, try modify the tensor parallel parameter in the configuration file |
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After modified the Is there a specific environment version that can successfully run with tensor parallel? Are there any vllm, torch or opencompass version requirements? |
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After some searching, this should be caused by a behavior change of vLLM since vllm-0.5.1. As metioned here: vllm-project/vllm#5669 (comment). |
先决条件
问题类型
我正在使用官方支持的任务/模型/数据集进行评估。
环境
{'CUDA available': True, 'CUDA_HOME': '/usr/local/cuda', 'GCC': 'gcc (Ubuntu 12.3.0-1ubuntu1~22.04) 12.3.0', 'GPU 0,1,2,3,4,5,6,7': 'NVIDIA GeForce RTX 4090', 'MMEngine': '0.10.4', 'MUSA available': False, 'NVCC': 'Cuda compilation tools, release 12.4, V12.4.131', 'OpenCV': '4.10.0', 'PyTorch': '2.3.1+cu121', 'PyTorch compiling details': 'PyTorch built with:\n' ' - GCC 9.3\n' ' - C++ Version: 201703\n' ' - Intel(R) oneAPI Math Kernel Library Version ' '2022.2-Product Build 20220804 for Intel(R) 64 ' 'architecture applications\n' ' - Intel(R) MKL-DNN v3.3.6 (Git Hash ' '86e6af5974177e513fd3fee58425e1063e7f1361)\n' ' - OpenMP 201511 (a.k.a. OpenMP 4.5)\n' ' - LAPACK is enabled (usually provided by ' 'MKL)\n' ' - NNPACK is enabled\n' ' - CPU capability usage: AVX512\n' ' - CUDA Runtime 12.1\n' ' - NVCC architecture flags: ' '-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90\n' ' - CuDNN 8.9.2\n' ' - Magma 2.6.1\n' ' - Build settings: BLAS_INFO=mkl, ' 'BUILD_TYPE=Release, CUDA_VERSION=12.1, ' 'CUDNN_VERSION=8.9.2, ' 'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, ' 'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 ' '-fabi-version=11 -fvisibility-inlines-hidden ' '-DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO ' '-DLIBKINETO_NOROCTRACER -DUSE_FBGEMM ' '-DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK ' '-DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE ' '-O2 -fPIC -Wall -Wextra -Werror=return-type ' '-Werror=non-virtual-dtor -Werror=bool-operation ' '-Wnarrowing -Wno-missing-field-initializers ' '-Wno-type-limits -Wno-array-bounds ' '-Wno-unknown-pragmas -Wno-unused-parameter ' '-Wno-unused-function -Wno-unused-result ' '-Wno-strict-overflow -Wno-strict-aliasing ' '-Wno-stringop-overflow -Wsuggest-override ' '-Wno-psabi -Wno-error=pedantic ' '-Wno-error=old-style-cast -Wno-missing-braces ' '-fdiagnostics-color=always -faligned-new ' '-Wno-unused-but-set-variable ' '-Wno-maybe-uninitialized -fno-math-errno ' '-fno-trapping-math -Werror=format ' '-Wno-stringop-overflow, LAPACK_INFO=mkl, ' 'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, ' 'PERF_WITH_AVX512=1, TORCH_VERSION=2.3.1, ' 'USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=1, ' 'USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, ' 'USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, ' 'USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=1, ' 'USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, ' 'USE_ROCM_KERNEL_ASSERT=OFF, \n', 'Python': '3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0]', 'TorchVision': '0.18.1+cu121', 'numpy_random_seed': 2147483648, 'opencompass': '0.2.6+c5074c0', 'sys.platform': 'linux'}重现问题 - 代码/配置示例
Just the built in
run.pyfile.重现问题 - 命令或脚本
CUDA_VISIBLE_DEVICES=4,5 python run.py --models vllm_mixtral_8x7b_v0_1 --datasets mmlu_gen -m infer --max-num-workers 1 --debug重现问题 - 错误信息
其他信息
No response
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