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InternLM / lmdeploy

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
https://lmdeploy.readthedocs.io/en/latest/
Apache License 2.0
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[Bug] 为什么logprobs的内容是None？Why the value of logprobs is None? #1948

Closed airaria closed 2 months ago

airaria commented 3 months ago

Checklist

Describe the bug

I test the following code（https://github.com/InternLM/lmdeploy/pull/1391#issuecomment-2060452760）

from lmdeploy import pipeline, GenerationConfig, PytorchEngineConfig, TurbomindEngineConfig
pipe = pipeline('./internlm2-chat-1_8b')
response = pipe('hello', gen_config=GenerationConfig(logprobs=10, top_k=1, max_new_tokens=10))
print(response)

lm-deploy successfully gave the output, but without logprobs:

Response(text='Hello! How can I assist you today?', generate_token_len=10, input_token_len=103, session_id=0, finish_reason='length', token_ids=[9843, 346, 2745, 777, 489, 7928, 629, 3514, 345], logprobs=None)

Reproduction

from lmdeploy import pipeline, GenerationConfig, PytorchEngineConfig, TurbomindEngineConfig
pipe = pipeline('./internlm2-chat-1_8b')
response = pipe('hello', gen_config=GenerationConfig(logprobs=10, top_k=1, max_new_tokens=10))
print(response)

Environment

$ lmdeploy check_env
sys.platform: linux
Python: 3.9.17 (main, Jul  5 2023, 20:41:20) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3,4,5,6,7: NVIDIA A800-SXM4-80GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 11.3, V11.3.109
GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
PyTorch: 2.2.1+cu118
PyTorch compiling details: PyTorch built with:
  - GCC 9.3
  - C++ Version: 201703
  - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v3.3.2 (Git Hash 2dc95a2ad0841e29db8b22fbccaf3e5da7992b01)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX512
  - CUDA Runtime 11.8
  - 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_37,code=sm_37;-gencode;arch=compute_90,code=sm_90
  - CuDNN 8.7
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, 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=2.2.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, 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, 

TorchVision: 0.17.1+cu118
LMDeploy: 0.5.0+
transformers: 4.41.2
gradio: Not Found
fastapi: 0.111.0
pydantic: 2.7.3
triton: 2.2.0
(/fs-computility/llm/yanhang/yangzacc/lmdeploy-env)

Error traceback

No response

irexyc commented 2 months ago

should be fixed with https://github.com/InternLM/lmdeploy/pull/1968 change.