[Bug] chat with converted mixtral-8x7b model, raise RuntimeError

[zhulinJulia24]

Checklist

• 1. I have searched related issues but cannot get the expected help.
• 2. The bug has not been fixed in the latest version.
• 3. Please note that if the bug-related issue you submitted lacks corresponding environment info and a minimal reproducible demo, it will be challenging for us to reproduce and resolve the issue, reducing the likelihood of receiving feedback.

Describe the bug

cannot chat with converted mixtral-8x7b model, raise /lmdeploy/src/turbomind/models/llama/LlamaDecoderLayerWeight.cc:275

Reproduction

1. convert
   lmdeploy convert mixtral /nvme/qa_test_models/mistralai/Mixtral-8x7B-Instruct-v0.1 --dst-path /nvme/qa_test_models/autotest_model/workspace_mistralai/Mixtral-8x7B-Instruct-v0.1 --tp 2
2. chat
   lmdeploy chat /nvme/qa_test_models/autotest_model/workspace_mistralai/Mixtral-8x7B-Instruct-v0.1

2024-10-30 13:40:39,740 - lmdeploy - WARNING - supported_models.py:100 - /nvme/qa_test_models/autotest_model/workspace_mistralai/Mixtral-8x7B-Instruct-v0.1 seems to be a turbomind workspace, which can only be ran with turbomind engine.
chat_template_config:
ChatTemplateConfig(model_name='mistral', system=None, meta_instruction=None, eosys=None, user=None, eoh=None, assistant=None, eoa=None, separator=None, capability='chat', stop_words=None)
engine_cfg:
TurbomindEngineConfig(dtype='auto', model_format=None, tp=1, session_len=32768, max_batch_size=1, cache_max_entry_count=0.8, cache_chunk_size=-1, cache_block_seq_len=64, enable_prefix_caching=False, quant_policy=0, rope_scaling_factor=0.0, use_logn_attn=False, download_dir=None, revision=None, max_prefill_token_num=8192, num_tokens_per_iter=0, max_prefill_iters=1)
[TM][ERROR] /nvme/qa_test_models/autotest_model/workspace_mistralai/Mixtral-8x7B-Instruct-v0.1/triton_models/weights/layers.0.feed_forward.w1.1.weight and /nvme/qa_test_models/autotest_model/workspace_mistralai/Mixtral-8x7B-Instruct-v0.1/triton_models/weights/layers.0.feed_forward.w1.1.qweight does not exist
[TM][ERROR] /nvme/qa_test_models/autotest_model/workspace_mistralai/Mixtral-8x7B-Instruct-v0.1/triton_models/weights/layers.0.feed_forward.w1.1.weight and /nvme/qa_test_models/autotest_model/workspace_mistralai/Mixtral-8x7B-Instruct-v0.1/triton_models/weights/layers.0.feed_forward.w1.1.qweight does not exist
Traceback (most recent call last):
  File "/home/zhulin1/miniconda3/envs/v62/bin/lmdeploy", line 8, in <module>
    sys.exit(run())
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/cli/entrypoint.py", line 42, in run
    args.run(args)
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/cli/cli.py", line 282, in chat
    run_chat(**kwargs)
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/turbomind/chat.py", line 116, in main
    tm_model = tm.TurboMind.from_pretrained(model_path,
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 302, in from_pretrained
    return cls(model_path=pretrained_model_name_or_path,
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 105, in __init__
    self.model_comm = self._from_workspace(
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 271, in _from_workspace
    self._create_weight(model_comm)
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 152, in _create_weight
    future.result()
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/concurrent/futures/_base.py", line 458, in result
    return self.__get_result()
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
    raise self._exception
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/home/zhulin1/miniconda3/envs/v62/lib/python3.10/site-packages/lmdeploy/turbomind/turbomind.py", line 145, in _create_weight_func
    model_comm.create_shared_weights(device_id, rank)
RuntimeError: [TM][ERROR]  Assertion fail: /lmdeploy/src/turbomind/models/llama/LlamaDecoderLayerWeight.cc:275 

Environment

sys.platform: linux
Python: 3.10.15 (main, Oct  3 2024, 07:27:34) [GCC 11.2.0]
CUDA available: True
MUSA available: False
numpy_random_seed: 2147483648
GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB
CUDA_HOME: /usr/local/cuda-11.7
NVCC: Cuda compilation tools, release 11.7, V11.7.64
GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44)
PyTorch: 2.5.0+cu118
PyTorch compiling details: PyTorch built with:
  - GCC 9.3
  - C++ Version: 201703
  - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v3.5.3 (Git Hash 66f0cb9eb66affd2da3bf5f8d897376f04aae6af)
  - 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 90.1
  - Magma 2.6.1
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=9.1.0, 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 -DLIBKINETO_NOXPUPTI=ON -DUSE_FBGEMM -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-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wsuggest-override -Wno-psabi -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, TORCH_VERSION=2.5.0, 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, 

TorchVision: 0.20.0+cu118
LMDeploy: 0.6.1+
transformers: 4.46.0
gradio: 5.4.0
fastapi: 0.115.4
pydantic: 2.9.2
triton: 2.3.0
NVIDIA Topology: 
        GPU0    GPU1    GPU2    GPU3    GPU4    GPU5    GPU6    GPU7    CPU Affinity    NUMA Affinity
GPU0     X      NV12    NV12    NV12    NV12    NV12    NV12    NV12    0-27,56-83      0
GPU1    NV12     X      NV12    NV12    NV12    NV12    NV12    NV12    0-27,56-83      0
GPU2    NV12    NV12     X      NV12    NV12    NV12    NV12    NV12    0-27,56-83      0
GPU3    NV12    NV12    NV12     X      NV12    NV12    NV12    NV12    0-27,56-83      0
GPU4    NV12    NV12    NV12    NV12     X      NV12    NV12    NV12    28-55,84-111    1
GPU5    NV12    NV12    NV12    NV12    NV12     X      NV12    NV12    28-55,84-111    1
GPU6    NV12    NV12    NV12    NV12    NV12    NV12     X      NV12    28-55,84-111    1
GPU7    NV12    NV12    NV12    NV12    NV12    NV12    NV12     X      28-55,84-111    1

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

Error traceback

No response

[lvhan028]

Fix #2698