init

c0705977 · wangkaixiong · d3982d85 · c0705977 · c0705977 · c0705977
Commit c0705977 authored Apr 08, 2026 by wangkaixiong 🚴🏼
20 changed files
--- a/auto_model_ud/requirements.txt
+++ b/auto_model_ud/requirements.txt
+Flask==2.0.1
+Flask-SocketIO==5.1.1
+eventlet==0.33.1
+SQLAlchemy==1.4.23
+Werkzeug==2.0.1
+Jinja2==3.0.1
+MarkupSafe==2.0.1
+itsdangerous==2.0.1
+click==8.0.1
+python-engineio==4.2.1
+python-socketio==5.4.0
+greenlet==1.1.2
+six==1.16.0
+dnspython==2.2.1
\ No newline at end of file
--- a/auto_model_ud/start.sh
+++ b/auto_model_ud/start.sh
+#!/bin/bash
+# 模型管理工具启动脚本
+echo "========================================="
+echo "Linux模型管理工具启动脚本"
+echo "========================================="
+# 检查Python版本
+echo "检查Python版本..."
+if ! command -v python3 &> /dev/null; then
+    echo "错误: 未找到Python3，请先安装Python3"
+    exit 1
+fi
+PYTHON_VERSION=$(python3 --version 2>&1 | awk '{print $2}')
+echo "已安装Python版本: $PYTHON_VERSION"
+# 创建虚拟环境（如果不存在）
+if [ ! -d "venv" ]; then
+    echo "创建Python虚拟环境..."
+    python3 -m venv venv
+    if [ $? -ne 0 ]; then
+        echo "错误: 创建虚拟环境失败"
+        exit 1
+    fi
+fi
+# 激活虚拟环境
+echo "激活虚拟环境..."
+if [ $? -ne 0 ]; then
+    echo "错误: 激活虚拟环境失败"
+    exit 1
+fi
+# 升级pip
+echo "升级pip..."
+pip3 install --upgrade pip -i https://pypi.tuna.tsinghua.edu.cn/simple
+if [ $? -ne 0 ]; then
+    echo "警告: 升级pip失败"
+fi
+# 安装依赖
+echo "安装依赖包..."
+pip install flask flask-cors flask-socketio eventlet requests modelscope -i https://pypi.tuna.tsinghua.edu.cn/simple
+if [ $? -ne 0 ]; then
+    echo "警告: 安装依赖包失败，某些功能可能受限"
+fi
+# 创建必要的目录
+echo "创建必要的目录..."
+# mkdir -p ~/models
+mkdir -p backend/static
+mkdir -p backend/templates
+# 检查端口是否被占用
+PORT=2026
+if lsof -Pi :$PORT -sTCP:LISTEN -t >/dev/null 2>&1; then
+    echo "警告: 端口 $PORT 已被占用，请先关闭占用该端口的进程"
+    echo "您可以使用以下命令关闭占用端口的进程:"
+    echo "sudo lsof -t -i:$PORT | xargs kill -9"
+    read -p "是否继续启动？(y/N): " -n 1 -r
+    echo
+    if [[ ! $REPLY =~ ^[Yy]$ ]]; then
+        exit 1
+    fi
+fi
+# 启动应用
+echo "========================================="
+echo "启动模型管理工具..."
+echo "访问地址: http://localhost:$PORT"
+echo "========================================="
+# 切换到backend目录
+cd backend
+# 启动Flask应用
+python3 app.py
\ No newline at end of file
--- a/auto_model_ud/venv/bin/python
+++ b/auto_model_ud/venv/bin/python
--- a/auto_model_ud/venv/bin/python3
+++ b/auto_model_ud/venv/bin/python3
--- a/auto_model_ud/venv/bin/python3.10
+++ b/auto_model_ud/venv/bin/python3.10
--- a/auto_model_ud/venv/pyvenv.cfg
+++ b/auto_model_ud/venv/pyvenv.cfg
+home = /usr/bin
+include-system-site-packages = false
+version = 3.10.12
--- a/debug_vscode/cplusplus/c_cpp_properties.json
+++ b/debug_vscode/cplusplus/c_cpp_properties.json
+{
+    "configurations": [
+        {
+            "name": "Linux",
+            "includePath": [
+                "./3rdparty/MacCodecSDK/include/**",
+                "include/**",
+                "./3rdparty/opencv-4.2/include/opencv4/**",
+                "src/**"
+            ],
+            "defines": ["__HIP_PLATFORM_AMD__", "HAS_CUDA_HALF"],
+            "compilerPath": "/usr/bin/gcc", 
+            "cStandard": "gnu17",
+            "cppStandard": "gnu++17",
+            "configurationProvider": "ms-vscode.makefile-tools",
+            "browse": {
+                "path": [
+                "./3rdparty/MacCodecSDK/include/**",
+                "include/**",
+                "./3rdparty/opencv-4.2/include/opencv4/**",
+                "src/**"
+                ],
+                "limitSymbolsToIncludedHeaders": false,
+                "databaseFilename": ""
+            }
+        }
+    ],
+    "version": 4
+}
\ No newline at end of file
--- a/debug_vscode/cplusplus/launch.json
+++ b/debug_vscode/cplusplus/launch.json
+{
+    // 使用 IntelliSense 了解相关属性。 
+    // 悬停以查看现有属性的描述。
+    // 欲了解更多信息，请访问: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "(gdb) 启动",
+            "type": "cppdbg",
+            "request": "launch",
+            "program": "${workspaceFolder}/workspace/pro",
+            "args": ["yolo"],
+            "stopAtEntry": false,
+            "cwd": "${workspaceFolder}/workspace",
+            "environment": [],
+            "externalConsole": false,
+            "MIMode": "gdb",
+            "setupCommands": [
+                {
+                    "description": "为 gdb 启用整齐打印",
+                    "text": "-enable-pretty-printing",
+                    "ignoreFailures": true
+                }
+            ],
+            "preLaunchTask": "build"
+        }
+    ]
+}
\ No newline at end of file
--- a/debug_vscode/cplusplus/settings.json
+++ b/debug_vscode/cplusplus/settings.json
+{
+    "files.associations": {
+        "iostream": "cpp",
+        "cctype": "cpp",
+        "clocale": "cpp",
+        "cmath": "cpp",
+        "cstdarg": "cpp",
+        "cstddef": "cpp",
+        "cstdio": "cpp",
+        "cstdlib": "cpp",
+        "cstring": "cpp",
+        "ctime": "cpp",
+        "cwchar": "cpp",
+        "cwctype": "cpp",
+        "array": "cpp",
+        "atomic": "cpp",
+        "*.tcc": "cpp",
+        "bitset": "cpp",
+        "chrono": "cpp",
+        "complex": "cpp",
+        "condition_variable": "cpp",
+        "cstdint": "cpp",
+        "deque": "cpp",
+        "list": "cpp",
+        "unordered_map": "cpp",
+        "vector": "cpp",
+        "exception": "cpp",
+        "fstream": "cpp",
+        "functional": "cpp",
+        "initializer_list": "cpp",
+        "iomanip": "cpp",
+        "iosfwd": "cpp",
+        "istream": "cpp",
+        "limits": "cpp",
+        "mutex": "cpp",
+        "new": "cpp",
+        "ostream": "cpp",
+        "numeric": "cpp",
+        "ratio": "cpp",
+        "sstream": "cpp",
+        "stdexcept": "cpp",
+        "streambuf": "cpp",
+        "system_error": "cpp",
+        "thread": "cpp",
+        "cinttypes": "cpp",
+        "tuple": "cpp",
+        "type_traits": "cpp",
+        "utility": "cpp",
+        "typeinfo": "cpp",
+        "algorithm": "cpp",
+        "iterator": "cpp",
+        "map": "cpp",
+        "memory": "cpp",
+        "memory_resource": "cpp",
+        "optional": "cpp",
+        "random": "cpp",
+        "set": "cpp",
+        "string": "cpp",
+        "string_view": "cpp",
+        "rope": "cpp",
+        "variant": "cpp",
+        "any": "cpp",
+        "barrier": "cpp",
+        "bit": "cpp",
+        "cfenv": "cpp",
+        "charconv": "cpp",
+        "codecvt": "cpp",
+        "compare": "cpp",
+        "concepts": "cpp",
+        "coroutine": "cpp",
+        "csetjmp": "cpp",
+        "csignal": "cpp",
+        "cuchar": "cpp",
+        "forward_list": "cpp",
+        "unordered_set": "cpp",
+        "netfwd": "cpp",
+        "regex": "cpp",
+        "source_location": "cpp",
+        "hash_map": "cpp",
+        "hash_set": "cpp",
+        "slist": "cpp",
+        "future": "cpp",
+        "latch": "cpp",
+        "numbers": "cpp",
+        "ranges": "cpp",
+        "scoped_allocator": "cpp",
+        "semaphore": "cpp",
+        "shared_mutex": "cpp",
+        "span": "cpp",
+        "stop_token": "cpp",
+        "syncstream": "cpp",
+        "typeindex": "cpp",
+        "valarray": "cpp",
+        "filesystem": "cpp",
+        "ios": "cpp",
+        "*.bak": "cpp",
+        "*.org": "cpp",
+        "__nullptr": "cpp"
+    }
+}
\ No newline at end of file
--- a/debug_vscode/cplusplus/tasks.json
+++ b/debug_vscode/cplusplus/tasks.json
+{
+    // See https://go.microsoft.com/fwlink/?LinkId=733558
+    // for the documentation about the tasks.json format
+    "version": "2.0.0",
+    "tasks": [
+        {
+            "label": "build",
+            "type": "shell",
+            "command": "make pro -j64"
+            // for cmake
+            //"command": "cd build && make pro -j25"
+        }
+    ]
+}
\ No newline at end of file
--- a/debug_vscode/python/launch.json
+++ b/debug_vscode/python/launch.json
+{
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: 启动服务器",
+            "type": "debugpy",
+            "request": "launch",
+            "module": "vllm.entrypoints.openai.api_server",
+            "console": "integratedTerminal",
+            "args": [
+                "--model",
+                "/data/models/ZhipuAI/GLM-4.7-Flash",
+                "--served-model-name",
+                "glm47",
+                "--dtype",
+                "float16",
+                "-tp",
+                "4",
+                "--trust-remote-code",
+                "--max-model-len",
+                "100000",
+                "--port",
+                "8001"
+            ],
+            "justMyCode": false,
+            "cwd": "/usr/local/lib/python3.10/dist-packages",
+            "env": {
+                "HIP_VISIBLE_DEVICES": "4,5,6,7"
+            }
+        }
+    ]
+}
\ No newline at end of file
--- a/docker_test/README.md
+++ b/docker_test/README.md
+# docker_test
+## Getting started
+To make it easy for you to get started with GitLab, here's a list of recommended next steps.
+Already a pro? Just edit this README.md and make it your own. Want to make it easy? [Use the template at the bottom](#editing-this-readme)!
+## Add your files
+- [ ] [Create](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#create-a-file) or [upload](https://docs.gitlab.com/ee/user/project/repository/web_editor.html#upload-a-file) files
+- [ ] [Add files using the command line](https://docs.gitlab.com/ee/gitlab-basics/add-file.html#add-a-file-using-the-command-line) or push an existing Git repository with the following command:
+```
+cd existing_repo
+git remote add origin http://10.0.51.48/wangkaixiong/docker_test.git
+git branch -M main
+git push -uf origin main
+```
+## Integrate with your tools
+- [ ] [Set up project integrations](http://10.0.51.48/wangkaixiong/docker_test/-/settings/integrations)
+## Collaborate with your team
+- [ ] [Invite team members and collaborators](https://docs.gitlab.com/ee/user/project/members/)
+- [ ] [Create a new merge request](https://docs.gitlab.com/ee/user/project/merge_requests/creating_merge_requests.html)
+- [ ] [Automatically close issues from merge requests](https://docs.gitlab.com/ee/user/project/issues/managing_issues.html#closing-issues-automatically)
+- [ ] [Enable merge request approvals](https://docs.gitlab.com/ee/user/project/merge_requests/approvals/)
+- [ ] [Automatically merge when pipeline succeeds](https://docs.gitlab.com/ee/user/project/merge_requests/merge_when_pipeline_succeeds.html)
+## Test and Deploy
+Use the built-in continuous integration in GitLab.
+- [ ] [Get started with GitLab CI/CD](https://docs.gitlab.com/ee/ci/quick_start/index.html)
+- [ ] [Analyze your code for known vulnerabilities with Static Application Security Testing(SAST)](https://docs.gitlab.com/ee/user/application_security/sast/)
+- [ ] [Deploy to Kubernetes, Amazon EC2, or Amazon ECS using Auto Deploy](https://docs.gitlab.com/ee/topics/autodevops/requirements.html)
+- [ ] [Use pull-based deployments for improved Kubernetes management](https://docs.gitlab.com/ee/user/clusters/agent/)
+- [ ] [Set up protected environments](https://docs.gitlab.com/ee/ci/environments/protected_environments.html)
+***
+# Editing this README
+When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thank you to [makeareadme.com](https://www.makeareadme.com/) for this template.
+## Suggestions for a good README
+Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.
+## Name
+Choose a self-explaining name for your project.
+## Description
+Let people know what your project can do specifically. Provide context and add a link to any reference visitors might be unfamiliar with. A list of Features or a Background subsection can also be added here. If there are alternatives to your project, this is a good place to list differentiating factors.
+## Badges
+On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use Shields to add some to your README. Many services also have instructions for adding a badge.
+## Visuals
+Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like ttygif can help, but check out Asciinema for a more sophisticated method.
+## Installation
+Within a particular ecosystem, there may be a common way of installing things, such as using Yarn, NuGet, or Homebrew. However, consider the possibility that whoever is reading your README is a novice and would like more guidance. Listing specific steps helps remove ambiguity and gets people to using your project as quickly as possible. If it only runs in a specific context like a particular programming language version or operating system or has dependencies that have to be installed manually, also add a Requirements subsection.
+## Usage
+Use examples liberally, and show the expected output if you can. It's helpful to have inline the smallest example of usage that you can demonstrate, while providing links to more sophisticated examples if they are too long to reasonably include in the README.
+## Support
+Tell people where they can go to for help. It can be any combination of an issue tracker, a chat room, an email address, etc.
+## Roadmap
+If you have ideas for releases in the future, it is a good idea to list them in the README.
+## Contributing
+State if you are open to contributions and what your requirements are for accepting them.
+For people who want to make changes to your project, it's helpful to have some documentation on how to get started. Perhaps there is a script that they should run or some environment variables that they need to set. Make these steps explicit. These instructions could also be useful to your future self.
+You can also document commands to lint the code or run tests. These steps help to ensure high code quality and reduce the likelihood that the changes inadvertently break something. Having instructions for running tests is especially helpful if it requires external setup, such as starting a Selenium server for testing in a browser.
+## Authors and acknowledgment
+Show your appreciation to those who have contributed to the project.
+## License
+For open source projects, say how it is licensed.
+## Project status
+If you have run out of energy or time for your project, put a note at the top of the README saying that development has slowed down or stopped completely. Someone may choose to fork your project or volunteer to step in as a maintainer or owner, allowing your project to keep going. You can also make an explicit request for maintainers.
--- a/docker_test/docker-compose.yml
+++ b/docker_test/docker-compose.yml
+# https://blog.csdn.net/wbsu2004/article/details/136443260?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522172225391516800207041892%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=172225391516800207041892&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~baidu_landing_v2~default-4-136443260-null-null.142^v100^pc_search_result_base8&utm_term=open-webui%20&spm=1018.2226.3001.4187
+version: '3'
+services:
+  vllm-test:
+    image: dcu_ai:vllm-0.5.0-ubuntu20.04-dtk24.04.1-py3.10_v1.0
+    container_name: vllm_wkx
+    restart: unless-stopped
+    # ports:
+    #   - 28120:22
+    volumes:
+      - /opt/hyhal:/opt/hyhal
+      - /datav/ai-oem/Models:/datasets
+      - ./test_script:/test
+    devices:
+      - /dev/kfd 
+      - /dev/mkfd
+      - /dev/dri
+    environment:
+      - LD_LIBRARY_PATH=/workspace/package/rocblas-install/lib:$LD_LIBRARY_PATH
+      - LLAMA_NN=1
+      - HSA_FORCE_FINE_GRAIN_PCIE=1
+      - NCCL_LAUNCH_MODE=GROUP
+      - NCCL_P2P_LEVEL=SYS
+      - NCCL_MAX_NCHANNELS=20
+      - NCCL_MIN_NCHANNELS=20
+    shm_size: 32g
+    command: bash -c "source /opt/dtk/env.sh && cd /test && python test.py && tail -f /dev/null"
+    # - HIP_VISIBLE_DEVICES=4,5,6,7
+    # - LD_LIBRARY_PATH=/workspace/package/rocblas-install/lib:$LD_LIBRARY_PATH
\ No newline at end of file
--- a/docker_test/run.sh
+++ b/docker_test/run.sh
+#!/bin/bash
+apt install -y docker-compose
+# 指定要检查的文件路径
+file_path="./test_script/finished"
+rm -rf file_path
+docker compose up &
+# 使用 while 循环不断检查文件是否存在
+while true; do
+  if [ -e "$file_path" ]; then
+    echo "文件 $file_path 已存在，退出循环。"
+    break
+  else
+    echo "文件 $file_path 不存在，继续检查..."
+  fi
+  sleep 1  # 等待 1 秒
+done
+docker compose down
+echo "继续测试"
--- a/docker_test/test_script/env.log
+++ b/docker_test/test_script/env.log
+DTKROOT=/opt/dtk
+C_INCLUDE_PATH=/opt/dtk/include:/opt/hyhal/include:/opt/dtk/llvm/include:/opt/dtk/include:/opt/hyhal/include:/opt/dtk/llvm/include:
+LANGUAGE=en_US.UTF-8
+MIOPEN_FIND_MODE=3
+HOSTNAME=79cfa5f821d3
+OS_VERSION=ubuntu20.04
+SHLVL=1
+LD_LIBRARY_PATH=/opt/dtk/hip/lib:/opt/dtk/llvm/lib:/opt/dtk/lib:/opt/dtk/lib64:/opt/hyhal/lib:/opt/hyhal/lib64:/workspace/package/rocblas-install/lib:/opt/dtk-24.04.2/hip/lib:/opt/dtk-24.04.2/llvm/lib:/opt/dtk-24.04.2/lib:/opt/dtk-24.04.2/lib64:/opt/hyhal/lib:/opt/hyhal/lib64:/opt/dtk-24.04.2/hip/lib:/opt/dtk-24.04.2/llvm/lib:/opt/dtk-24.04.2/lib:/opt/dtk-24.04.2/lib64:/opt/hyhal/lib:/opt/hyhal/lib64::/opt/mpi/lib:/opt/mpi/lib
+NCCL_LAUNCH_MODE=GROUP
+HOME=/root
+OLDPWD=/
+NCCL_MIN_NCHANNELS=20
+NCCL_MAX_NCHANNELS=20
+NCCL_P2P_LEVEL=SYS
+HYHAL_PATH=/opt/hyhal
+AMDGPU_TARGETS=gfx906;gfx926;gfx928
+CPLUS_INCLUDE_PATH=/opt/dtk/include:/opt/hyhal/include:/opt/dtk/llvm/include:/opt/dtk/include:/opt/hyhal/include:/opt/dtk/llvm/include:
+_=/usr/local/bin/python
+MOFED_VERSION=5.8-3.0.7.0
+HIP_PATH=/opt/dtk/hip
+PATH=/opt/dtk/bin:/opt/dtk/llvm/bin:/opt/dtk/hip/bin:/opt/dtk/hip/bin/hipify:/opt/hyhal/bin:/opt/dtk/bin:/opt/dtk/llvm/bin:/opt/dtk/hip/bin:/opt/dtk/hip/bin/hipify:/opt/hyhal/bin:/opt/mpi/bin:/opt/hwloc/bin/:/opt/cmake/bin/:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+PLATFORM=x86_64
+LANG=en_US.UTF-8
+ROCM_PATH=/opt/dtk
+HSA_FORCE_FINE_GRAIN_PCIE=1
+SHELL=/bin/bash
+LLAMA_NN=1
+PWD=/test
+LC_ALL=en_US.UTF-8
+PYTHONPATH=/usr/local/lib/python3.10/site-packages:/usr/local/:
+TZ=Asia/Shanghai
+MANPATH=/opt/mpi/share/man:
--- a/docker_test/test_script/finished
+++ b/docker_test/test_script/finished
--- a/docker_test/test_script/log/202410161623/test_benchmark_llama2_7b.log
+++ b/docker_test/test_script/log/202410161623/test_benchmark_llama2_7b.log
+/usr/local/lib/python3.10/site-packages/triton/compiler/compiler.py:70: SyntaxWarning: assertion is always true, perhaps remove parentheses?
+  assert(False, "unsupported target")
+INFO: Please install lmslim if you want to infer gptq or awq model.
+Namespace(backend='vllm', dataset=None, input_len=1, output_len=2000, model='/datasets/Llama-2-7b-chat-hf/', tokenizer='/datasets/Llama-2-7b-chat-hf/', quantization=None, tensor_parallel_size=1, n=1, use_beam_search=False, num_prompts=32, seed=0, hf_max_batch_size=None, trust_remote_code=True, max_model_len=None, dtype='float16', gpu_memory_utilization=0.9, enforce_eager=False, kv_cache_dtype='auto', quantization_param_path=None, device='cuda', enable_prefix_caching=False, enable_chunked_prefill=False, max_num_batched_tokens=None, download_dir=None, output_json=None, distributed_executor_backend=None)
+INFO 10-16 16:23:17 llm_engine.py:161] Initializing an LLM engine (v0.5.0) with config: model='/datasets/Llama-2-7b-chat-hf/', speculative_config=None, tokenizer='/datasets/Llama-2-7b-chat-hf/', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, rope_scaling=None, rope_theta=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.float16, max_seq_len=4096, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='outlines'), seed=0, served_model_name=/datasets/Llama-2-7b-chat-hf/)
+INFO 10-16 16:23:18 selector.py:55] Using ROCmFlashAttention backend.
+WARNING: Logging before InitGoogleLogging() is written to STDERR
+I1016 16:23:18.616631    41 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94211286087552
+I1016 16:23:19.494025    41 ProcessGroupNCCL.cpp:1340] NCCL_DEBUG: N/A
+I1016 16:23:19.497731    41 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94211258560320
+I1016 16:23:19.501755    41 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94211259053008
+INFO 10-16 16:23:19 selector.py:55] Using ROCmFlashAttention backend.
+INFO 10-16 16:23:30 model_runner.py:159] Loading model weights took 12.5523 GB
+INFO 10-16 16:24:24 gpu_executor.py:83] # GPU blocks: 5452, # CPU blocks: 512
+INFO 10-16 16:24:38 model_runner.py:905] Capturing the model for CUDA graphs. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce-eager' in the CLI.
+INFO 10-16 16:24:38 model_runner.py:909] CUDA graphs can take additional 1~3 GiB memory per GPU. If you are running out of memory, consider decreasing `gpu_memory_utilization` or enforcing eager mode. You can also reduce the `max_num_seqs` as needed to decrease memory usage.
+INFO 10-16 16:24:51 model_runner.py:981] Graph capturing finished in 13 secs.
+
Processed prompts:   0%|          | 0/32 [00:00<?, ?it/s, Generation Speed: 0.00 toks/s]
Processed prompts:   3%|▎         | 1/32 [02:39<1:22:10, 159.05s/it, Generation Speed: 12.57 toks/s]
Processed prompts: 100%|██████████| 32/32 [02:39<00:00,  4.97s/it, Generation Speed: 402.38 toks/s] 
+Throughput: 0.20 requests/s, 402.53 tokens/s
+Elapsed_time:  159.07 s
+Generate Throughput: 402.33 tokens/s
+TTFT mean:  0.1981 s
+I1016 16:27:31.328974    41 ProcessGroupNCCL.cpp:874] [Rank 0] Destroyed 1communicators on CUDA device 0
--- a/docker_test/test_script/log/202410161623/test_benchmark_qwen1.5_32b.log
+++ b/docker_test/test_script/log/202410161623/test_benchmark_qwen1.5_32b.log
+INFO: Please install lmslim if you want to infer gptq or awq model.
+Namespace(backend='vllm', dataset=None, input_len=100, output_len=100, model='/datasets/Qwen1.5-32B-Chat/', tokenizer='/datasets/Qwen1.5-32B-Chat/', quantization=None, tensor_parallel_size=4, n=1, use_beam_search=False, num_prompts=64, seed=0, hf_max_batch_size=None, trust_remote_code=True, max_model_len=None, dtype='float16', gpu_memory_utilization=0.9, enforce_eager=False, kv_cache_dtype='auto', quantization_param_path=None, device='cuda', enable_prefix_caching=False, enable_chunked_prefill=False, max_num_batched_tokens=None, download_dir=None, output_json=None, distributed_executor_backend=None)
+WARNING 10-16 16:27:43 config.py:1224] Casting torch.bfloat16 to torch.float16.
+2024-10-16 16:27:45,537	INFO worker.py:1786 -- Started a local Ray instance.
+INFO 10-16 16:27:51 config.py:629] Defaulting to use mp for distributed inference
+INFO 10-16 16:27:51 config.py:645] Disabled the custom all-reduce kernel because it is not supported on AMD GPUs.
+INFO 10-16 16:27:51 llm_engine.py:161] Initializing an LLM engine (v0.5.0) with config: model='/datasets/Qwen1.5-32B-Chat/', speculative_config=None, tokenizer='/datasets/Qwen1.5-32B-Chat/', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, rope_scaling=None, rope_theta=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.float16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=4, disable_custom_all_reduce=True, quantization=None, enforce_eager=False, kv_cache_dtype=auto, quantization_param_path=None, device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='outlines'), seed=0, served_model_name=/datasets/Qwen1.5-32B-Chat/)
+INFO 10-16 16:27:51 selector.py:55] Using ROCmFlashAttention backend.
+INFO: Please install lmslim if you want to infer gptq or awq model.
+INFO: Please install lmslim if you want to infer gptq or awq model.
+INFO: Please install lmslim if you want to infer gptq or awq model.
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:27:56 selector.py:55] Using ROCmFlashAttention backend.
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:27:56 multiproc_worker_utils.py:233] Worker ready; awaiting tasks
+WARNING: Logging before InitGoogleLogging() is written to STDERR
+I1016 16:27:56.435388  8109 ProcessGroupNCCL.cpp:686] [Rank 1] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94595162264032
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:27:56 selector.py:55] Using ROCmFlashAttention backend.
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:27:56 multiproc_worker_utils.py:233] Worker ready; awaiting tasks
+WARNING: Logging before InitGoogleLogging() is written to STDERR
+I1016 16:27:56.554723  8110 ProcessGroupNCCL.cpp:686] [Rank 2] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94549760811168
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:27:56 selector.py:55] Using ROCmFlashAttention backend.
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:27:56 multiproc_worker_utils.py:233] Worker ready; awaiting tasks
+WARNING: Logging before InitGoogleLogging() is written to STDERR
+I1016 16:27:56.597939  8111 ProcessGroupNCCL.cpp:686] [Rank 3] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94803335683968
+WARNING: Logging before InitGoogleLogging() is written to STDERR
+I1016 16:27:56.601776   475 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94697219919904
+I1016 16:27:57.681679   475 ProcessGroupNCCL.cpp:1340] NCCL_DEBUG: N/A
+I1016 16:27:57.684379   475 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94697668204736
+I1016 16:27:57.684387  8109 ProcessGroupNCCL.cpp:686] [Rank 1] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94595171359856
+I1016 16:27:57.684439  8111 ProcessGroupNCCL.cpp:686] [Rank 3] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94803345643920
+I1016 16:27:57.684448  8110 ProcessGroupNCCL.cpp:686] [Rank 2] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94549773974320
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:27:57 utils.py:623] Found nccl from library librccl.so.1
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:27:57 pynccl.py:65] vLLM is using nccl==2.18.3
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:27:57 utils.py:623] Found nccl from library librccl.so.1
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:27:57 pynccl.py:65] vLLM is using nccl==2.18.3
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:27:57 utils.py:623] Found nccl from library librccl.so.1
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:27:57 pynccl.py:65] vLLM is using nccl==2.18.3
+INFO 10-16 16:27:57 utils.py:623] Found nccl from library librccl.so.1
+INFO 10-16 16:27:57 pynccl.py:65] vLLM is using nccl==2.18.3
+I1016 16:27:57.960775   475 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94697662069104
+I1016 16:27:57.961210  8110 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94549770765664
+I1016 16:27:57.961233  8111 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94803338812128
+I1016 16:27:57.961279  8109 ProcessGroupNCCL.cpp:686] [Rank 0] ProcessGroupNCCL initialization options:NCCL_ASYNC_ERROR_HANDLING: 1, NCCL_DESYNC_DEBUG: 0, NCCL_ENABLE_TIMING: 0, NCCL_BLOCKING_WAIT: 0, TIMEOUT(ms): 1800000, USE_HIGH_PRIORITY_STREAM: 0, TORCH_DISTRIBUTED_DEBUG: OFF, NCCL_DEBUG: OFF, ID=94595171362048
+WARNING 10-16 16:27:57 __init__.py:104] Model architecture Qwen2ForCausalLM is partially supported by ROCm: Sliding window attention is not yet supported in ROCm's flash attention
+[1;36m(VllmWorkerProcess pid=8111)[0;0m WARNING 10-16 16:27:57 __init__.py:104] Model architecture Qwen2ForCausalLM is partially supported by ROCm: Sliding window attention is not yet supported in ROCm's flash attention
+[1;36m(VllmWorkerProcess pid=8109)[0;0m WARNING 10-16 16:27:57 __init__.py:104] Model architecture Qwen2ForCausalLM is partially supported by ROCm: Sliding window attention is not yet supported in ROCm's flash attention
+[1;36m(VllmWorkerProcess pid=8110)[0;0m WARNING 10-16 16:27:57 __init__.py:104] Model architecture Qwen2ForCausalLM is partially supported by ROCm: Sliding window attention is not yet supported in ROCm's flash attention
+INFO 10-16 16:27:58 selector.py:55] Using ROCmFlashAttention backend.
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:27:58 selector.py:55] Using ROCmFlashAttention backend.
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:27:58 selector.py:55] Using ROCmFlashAttention backend.
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:27:58 selector.py:55] Using ROCmFlashAttention backend.
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:28:10 model_runner.py:159] Loading model weights took 15.1963 GB
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:28:10 model_runner.py:159] Loading model weights took 15.1963 GB
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:28:11 model_runner.py:159] Loading model weights took 15.1963 GB
+INFO 10-16 16:28:11 model_runner.py:159] Loading model weights took 15.1963 GB
+I1016 16:28:12.718705   475 ProcessGroupNCCL.cpp:1340] NCCL_DEBUG: N/A
+INFO 10-16 16:28:59 distributed_gpu_executor.py:56] # GPU blocks: 32793, # CPU blocks: 4096
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:29:14 model_runner.py:905] Capturing the model for CUDA graphs. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce-eager' in the CLI.
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:29:14 model_runner.py:909] CUDA graphs can take additional 1~3 GiB memory per GPU. If you are running out of memory, consider decreasing `gpu_memory_utilization` or enforcing eager mode. You can also reduce the `max_num_seqs` as needed to decrease memory usage.
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:29:14 model_runner.py:905] Capturing the model for CUDA graphs. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce-eager' in the CLI.
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:29:14 model_runner.py:909] CUDA graphs can take additional 1~3 GiB memory per GPU. If you are running out of memory, consider decreasing `gpu_memory_utilization` or enforcing eager mode. You can also reduce the `max_num_seqs` as needed to decrease memory usage.
+INFO 10-16 16:29:15 model_runner.py:905] Capturing the model for CUDA graphs. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce-eager' in the CLI.
+INFO 10-16 16:29:15 model_runner.py:909] CUDA graphs can take additional 1~3 GiB memory per GPU. If you are running out of memory, consider decreasing `gpu_memory_utilization` or enforcing eager mode. You can also reduce the `max_num_seqs` as needed to decrease memory usage.
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:29:15 model_runner.py:905] Capturing the model for CUDA graphs. This may lead to unexpected consequences if the model is not static. To run the model in eager mode, set 'enforce_eager=True' or use '--enforce-eager' in the CLI.
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:29:15 model_runner.py:909] CUDA graphs can take additional 1~3 GiB memory per GPU. If you are running out of memory, consider decreasing `gpu_memory_utilization` or enforcing eager mode. You can also reduce the `max_num_seqs` as needed to decrease memory usage.
+INFO 10-16 16:29:42 model_runner.py:981] Graph capturing finished in 27 secs.
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:29:42 model_runner.py:981] Graph capturing finished in 27 secs.
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:29:42 model_runner.py:981] Graph capturing finished in 28 secs.
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:29:42 model_runner.py:981] Graph capturing finished in 28 secs.
+WARNING 10-16 16:29:42 __init__.py:104] Model architecture Qwen2ForCausalLM is partially supported by ROCm: Sliding window attention is not yet supported in ROCm's flash attention
+
Processed prompts:   0%|          | 0/64 [00:00<?, ?it/s, Generation Speed: 0.00 toks/s]
Processed prompts:   2%|▏         | 1/64 [00:12<13:21, 12.72s/it, Generation Speed: 7.86 toks/s]
Processed prompts: 100%|██████████| 64/64 [00:12<00:00,  5.03it/s, Generation Speed: 503.01 toks/s]
+INFO 10-16 16:29:55 multiproc_worker_utils.py:154] Terminating local vLLM worker processes
+[1;36m(VllmWorkerProcess pid=8109)[0;0m INFO 10-16 16:29:55 multiproc_worker_utils.py:255] Worker exiting
+[1;36m(VllmWorkerProcess pid=8110)[0;0m INFO 10-16 16:29:55 multiproc_worker_utils.py:255] Worker exiting
+[1;36m(VllmWorkerProcess pid=8111)[0;0m INFO 10-16 16:29:55 multiproc_worker_utils.py:255] Worker exiting
+Throughput: 5.02 requests/s, 1003.77 tokens/s
+Elapsed_time:  12.75 s
+Generate Throughput: 501.88 tokens/s
+TTFT mean:  1.7136 s
+I1016 16:29:56.392279  8109 ProcessGroupNCCL.cpp:874] [Rank 1] Destroyed 1communicators on CUDA device 1
+I1016 16:29:56.516038  8110 ProcessGroupNCCL.cpp:874] [Rank 2] Destroyed 1communicators on CUDA device 2
+I1016 16:29:56.664018  8111 ProcessGroupNCCL.cpp:874] [Rank 3] Destroyed 1communicators on CUDA device 3
+I1016 16:29:56.968946  8109 ProcessGroupNCCL.cpp:874] [Rank 1] Destroyed 1communicators on CUDA device 1
+I1016 16:29:57.076572  8110 ProcessGroupNCCL.cpp:874] [Rank 2] Destroyed 1communicators on CUDA device 2
+I1016 16:29:57.213865  8111 ProcessGroupNCCL.cpp:874] [Rank 3] Destroyed 1communicators on CUDA device 3
+I1016 16:30:15.474757   475 ProcessGroupNCCL.cpp:874] [Rank 0] Destroyed 1communicators on CUDA device 0
+I1016 16:30:16.021216   475 ProcessGroupNCCL.cpp:874] [Rank 0] Destroyed 1communicators on CUDA device 0
--- a/docker_test/test_script/log/202410161623/test_benchmark_qwen2_72b.log
+++ b/docker_test/test_script/log/202410161623/test_benchmark_qwen2_72b.log
--- a/docker_test/test_script/test.py
+++ b/docker_test/test_script/test.py
+import os
+from datetime import datetime
+# 获取当前时间
+now = datetime.now()
+# 格式化日期时间字符串
+folder_name = now.strftime("%Y%m%d%H%M")
+save_path = "/test/log"
+save_log_path = os.path.join(save_path, folder_name)
+mark_file = "/test/finished"
+# 调用函数
+os.system('env > env.log')
+os.chdir("/workspace/vllm_benchmark")
+os.system(f"rm -rf {mark_file}")
+os.makedirs(save_log_path, exist_ok=True)
+os.system(f"bash test_benchmark_llama2_7b.sh 2>&1 | tee {save_log_path}/test_benchmark_llama2_7b.log")
+os.system(f"bash test_benchmark_qwen1.5_32b.sh 2>&1 | tee {save_log_path}/test_benchmark_qwen1.5_32b.log")
+os.system(f"bash test_benchmark_qwen2_72b.sh 2>&1 | tee {save_log_path}/test_benchmark_qwen2_72b.log")
+os.system(f"touch {mark_file}")