Android dependency 'android.arch.core:runtime' has different version for the compile (1.1.0) and run

解决Android依赖版本冲突
最新推荐文章于 2024-05-16 14:10:01 发布
原创 最新推荐文章于 2024-05-16 14:10:01 发布 · 5.8k 阅读 · 1 ·
CC 4.0 BY-SA版权
版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。

本文详细介绍了在Android项目中遇到的依赖版本冲突问题，包括两种常见情况：一是Gradle版本问题，通过升级Gradle版本可以解决；二是主工程中子模块引用的第三方包版本不一致，需要统一设置相同的版本。

今天遇到了一下问题

 

```

When converting this project as a library, facing Error:Execution failed for task ':app:preDebugBuild'. > Android dependency 'android.arch.core:runtime' has different version for the compile (1.0.0) and runtime (1.1.1) classpath. You should manually set the same version via DependencyResolution. #1615

```

 

第一种情况：gradle版本问题

gradle 升级 4.4 到4.7就可以了 

第二种情况：主工程要用的子module中引用的第三方包

必须设为：

api 'com.tencent.wcdb:room:1.0.8'

而不是

implementation 'com.tencent.wcdb:room:1.0.8'

 

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PowerShell 7 环境已加载 (版本: 7.5.2) PowerShell 7 环境已加载 (版本: 7.5.2) PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env PS E:\PyTorch_Build\pytorch> .\rtx5070_env\Scripts\activate (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 修复之前的脚本错误 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $fixedActivation = @" >> try { >> & "$activatePath" >> Write-Host "✅ 虚拟环境激活成功" -ForegroundColor Green >> python -VV >> } >> catch [System.Exception] { >> Write-Host "❌ 激活失败: $($_.Exception.Message)" -ForegroundColor Red >> } >> "@ InvalidOperation: Line | 3 | & "$activatePath" | ~~~~~~~~~~~~~ | The variable '$activatePath' cannot be retrieved because it has not been set. (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 切换到PyTorch源码目录 (rtx5070_env) PS E:\PyTorch_Build\pytorch> cd E:\PyTorch_Build\pytorch (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 更新pip到最新版 (rtx5070_env) PS E:\PyTorch_Build\pytorch> python -m pip install --upgrade pip Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: pip in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (22.3.1) Collecting pip Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl (1.8 MB) Installing collected packages: pip Attempting uninstall: pip Found existing installation: pip 22.3.1 Uninstalling pip-22.3.1: Successfully uninstalled pip-22.3.1 Successfully installed pip-25.2 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装编译依赖 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install -r requirements-build.txt --verbose Using pip 25.2 from E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\pip (python 3.10) Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting setuptools<80.0,>=70.1.0 (from -r requirements-build.txt (line 2)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/0d/6d/b4752b044bf94cb802d88a888dc7d288baaf77d7910b7dedda74b5ceea0c/setuptools-79.0.1-py3-none-any.whl (1.3 MB) Collecting cmake>=3.27 (from -r requirements-build.txt (line 3)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7c/d0/73cae88d8c25973f2465d5a4457264f95617c16ad321824ed4c243734511/cmake-4.1.0-py3-none-win_amd64.whl (37.6 MB) Collecting ninja (from -r requirements-build.txt (line 4)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/29/45/c0adfbfb0b5895aa18cec400c535b4f7ff3e52536e0403602fc1a23f7de9/ninja-1.13.0-py3-none-win_amd64.whl (309 kB) Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/f3/db/8e12381333aea300890829a0a36bfa738cac95475d88982d538725143fd9/numpy-2.3.0.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/numpy/) (requires-python:>=3.11) Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/2e/19/d7c972dfe90a353dbd3efbbe1d14a5951de80c99c9dc1b93cd998d51dc0f/numpy-2.3.1.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/numpy/) (requires-python:>=3.11) Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/37/7d/3fec4199c5ffb892bed55cff901e4f39a58c81df9c44c280499e92cad264/numpy-2.3.2.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/numpy/) (requires-python:>=3.11) Collecting numpy (from -r requirements-build.txt (line 5)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl (12.9 MB) Collecting packaging (from -r requirements-build.txt (line 6)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl (66 kB) Collecting pyyaml (from -r requirements-build.txt (line 7)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b5/84/0fa4b06f6d6c958d207620fc60005e241ecedceee58931bb20138e1e5776/PyYAML-6.0.2-cp310-cp310-win_amd64.whl (161 kB) Collecting requests (from -r requirements-build.txt (line 8)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/1e/db/4254e3eabe8020b458f1a747140d32277ec7a271daf1d235b70dc0b4e6e3/requests-2.32.5-py3-none-any.whl (64 kB) Collecting six (from -r requirements-build.txt (line 9)) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl (11 kB) Collecting typing-extensions>=4.10.0 (from -r requirements-build.txt (line 10)) Using cached 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cached https://pypi.tuna.tsinghua.edu.cn/packages/e5/48/1549795ba7742c948d2ad169c1c8cdbae65bc450d6cd753d124b17c8cd32/certifi-2025.8.3-py3-none-any.whl (161 kB) Installing collected packages: urllib3, typing-extensions, six, setuptools, pyyaml, packaging, numpy, ninja, idna, cmake, charset_normalizer, certifi, requests Attempting uninstall: setuptools Found existing installation: setuptools 65.5.0 Uninstalling setuptools-65.5.0: Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\_distutils_hack\ Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\distutils-precedence.pth Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\pkg_resources\ Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\setuptools-65.5.0.dist-info\ Removing file or directory e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages\setuptools\ Successfully uninstalled setuptools-65.5.0 Successfully installed certifi-2025.8.3 charset_normalizer-3.4.3 cmake-4.1.0 idna-3.10 ninja-1.13.0 numpy-2.2.6 packaging-25.0 pyyaml-6.0.2 requests-2.32.5 setuptools-79.0.1 six-1.17.0 typing-extensions-4.15.0 urllib3-2.5.0 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install cmake ninja --upgrade Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: cmake in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (4.1.0) Requirement already satisfied: ninja in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (1.13.0) (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 清理旧编译产物 (rtx5070_env) PS E:\PyTorch_Build\pytorch> Remove-Item -Recurse -Force build, dist -ErrorAction SilentlyContinue (rtx5070_env) PS E:\PyTorch_Build\pytorch> Write-Host "`n==== 编译环境验证 ====" -ForegroundColor Cyan ==== 编译环境验证 ==== (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 1. 目录验证 (rtx5070_env) PS E:\PyTorch_Build\pytorch> Write-Host "当前目录: $pwd" 当前目录: E:\PyTorch_Build\pytorch (rtx5070_env) PS E:\PyTorch_Build\pytorch> if ($pwd -ne "E:\PyTorch_Build\pytorch") { >> Write-Host "⚠️ 错误: 需要切换到E:\PyTorch_Build\pytorch" -ForegroundColor Yellow >> cd E:\PyTorch_Build\pytorch >> } ⚠️ 错误: 需要切换到E:\PyTorch_Build\pytorch (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 2. CUDA工具链验证 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $cudaStatus = @( >> "nvcc --version", >> "nvidia-smi", >> "where cudnn64_8.dll" >> ) (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> foreach ($cmd in $cudaStatus) { >> Write-Host "`n执行: $cmd" -ForegroundColor Magenta >> try { >> Invoke-Expression $cmd >> } >> catch { >> Write-Host "❌ 命令失败: $_" -ForegroundColor Red >> } >> } 执行: nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Wed_Jul_16_20:06:48_Pacific_Daylight_Time_2025 Cuda compilation tools, release 13.0, V13.0.48 Build cuda_13.0.r13.0/compiler.36260728_0 执行: nvidia-smi Wed Sep 3 22:04:47 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.97 Driver Version: 580.97 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Driver-Model | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 5070 WDDM | 00000000:01:00.0 On | N/A | | 0% 38C P3 22W / 250W | 1601MiB / 12227MiB | 1% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 1540 C+G ...yb3d8bbwe\WindowsTerminal.exe N/A | | 0 N/A N/A 1916 C+G C:\Windows\System32\dwm.exe N/A | | 0 N/A N/A 4972 C+G ...em32\ApplicationFrameHost.exe N/A | | 0 N/A N/A 5036 C+G ...ef.win7x64\steamwebhelper.exe N/A | | 0 N/A N/A 5996 C+G ...8bbwe\PhoneExperienceHost.exe N/A | | 0 N/A N/A 6420 C+G ...ntrolPanel\SystemSettings.exe N/A | | 0 N/A N/A 8280 C+G C:\Windows\explorer.exe N/A | | 0 N/A N/A 8428 C+G ...indows\System32\ShellHost.exe N/A | | 0 N/A N/A 8616 C+G ..._cw5n1h2txyewy\SearchHost.exe N/A | | 0 N/A N/A 9212 C+G ...y\StartMenuExperienceHost.exe N/A | | 0 N/A N/A 10092 C+G ...0.3405.125\msedgewebview2.exe N/A | | 0 N/A N/A 12816 C+G ...5n1h2txyewy\TextInputHost.exe N/A | | 0 N/A N/A 13400 C+G ...crosoft\OneDrive\OneDrive.exe N/A | | 0 N/A N/A 14212 C+G ...t\Edge\Application\msedge.exe N/A | | 0 N/A N/A 14440 C+G ...acted\runtime\WeChatAppEx.exe N/A | | 0 N/A N/A 15156 C+G ...les\Tencent\Weixin\Weixin.exe N/A | | 0 N/A N/A 18312 C+G ...es\Microsoft VS Code\Code.exe N/A | +-----------------------------------------------------------------------------------------+ 执行: where cudnn64_8.dll (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 3. Python环境验证 (rtx5070_env) PS E:\PyTorch_Build\pytorch> Write-Host "`nPython环境状态:" -ForegroundColor Magenta Python环境状态: (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip show torch | Select-String "Location" WARNING: Package(s) not found: torch (rtx5070_env) PS E:\PyTorch_Build\pytorch> python -c "import torch; print(f'PyTorch版本: {torch.__version__}')" Traceback (most recent call last): File "<string>", line 1, in <module> File "E:\PyTorch_Build\pytorch\torch\__init__.py", line 61, in <module> from torch.torch_version import __version__ as __version__ File "E:\PyTorch_Build\pytorch\torch\torch_version.py", line 5, in <module> from torch.version import __version__ as internal_version ModuleNotFoundError: No module named 'torch.version' (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置RTX 5070专属编译参数 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $cmakeArgs = @( >> "-B build", >> "-G Ninja", >> "-DUSE_CUDA=ON", >> "-DUSE_CUDNN=ON", >> "-DCUDA_TOOLKIT_ROOT_DIR=`"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0`"", >> "-DCUDNN_ROOT_DIR=`"E:\Program Files\NVIDIA\CUNND\v9.12`"", >> "-DCUDA_ARCH_LIST=`"8.9`"", # RTX 5070架构 >> "-DTORCH_CUDA_ARCH_LIST=`"8.9`"", >> "-DCMAKE_BUILD_TYPE=Release", >> "-DUSE_NCCL=OFF", >> "-DUSE_MKLDNN=ON", >> "-DTORCH_CUDA_VERSION=11.8" # 兼容旧驱动 >> ) (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 启动配置过程 (rtx5070_env) PS E:\PyTorch_Build\pytorch> cmake ($cmakeArgs -join " ") CMake Error: Unable to (re)create the private pkgRedirects directory: E:/PyTorch_Build/pytorch/build -G Ninja -DUSE_CUDA=ON -DUSE_CUDNN=ON -DCUDA_TOOLKIT_ROOT_DIR="C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0" -DCUDNN_ROOT_DIR="E:/Program Files/NVIDIA/CUNND/v9.12" -DCUDA_ARCH_LIST="8.9" -DTORCH_CUDA_ARCH_LIST="8.9" -DCMAKE_BUILD_TYPE=Release -DUSE_NCCL=OFF -DUSE_MKLDNN=ON -DTORCH_CUDA_VERSION=11.8/CMakeFiles/pkgRedirects This may be caused by not having read/write access to the build directory. Try specifying a location with read/write access like: cmake -B build If using a CMake presets file, ensure that preset parameter 'binaryDir' expands to a writable directory. (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置并行编译（根据CPU核心数调整） (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:MAX_JOBS = 8 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 启动编译并记录日志 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $logFile = "build_$(Get-Date -Format 'yyyyMMdd_HHmmss').log" (rtx5070_env) PS E:\PyTorch_Build\pytorch> Start-Transcript -Path $logFile Transcript started, output file is build_20250903_220514.log (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> try { >> cmake --build build --config Release --parallel $env:MAX_JOBS >> pip install -v --no-build-isolation . >> } >> catch { >> Write-Host "🔥 编译失败！错误详情: $_" -ForegroundColor Red >> } Error: E:/PyTorch_Build/pytorch/build is not a directory Using pip 25.2 from E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\pip (python 3.10) Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Processing e:\pytorch_build\pytorch Running command Preparing metadata (pyproject.toml) Building wheel torch-2.9.0a0+git2d31c3d E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\setuptools\config\_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated !! ******************************************************************************** Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). By 2026-Feb-18, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! corresp(dist, value, root_dir) running dist_info creating C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info writing C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\PKG-INFO writing dependency_links to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\dependency_links.txt writing entry points to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\entry_points.txt writing requirements to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\requires.txt writing top-level names to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\top_level.txt writing manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\SOURCES.txt' reading manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching 'BUILD' warning: no files found matching '*.BUILD' warning: no files found matching 'BUCK' warning: no files found matching '[Mm]akefile.*' warning: no files found matching '*.[Dd]ockerfile' warning: no files found matching '[Dd]ockerfile.*' warning: no previously-included files matching '*.o' found anywhere in distribution warning: no previously-included files matching '*.obj' found anywhere in distribution warning: no previously-included files matching '*.so' found anywhere in distribution warning: no previously-included files matching '*.a' found anywhere in distribution warning: no previously-included files matching '*.dylib' found anywhere in distribution no previously-included directories found matching '*\.git' warning: no previously-included files matching '*~' found anywhere in distribution warning: no previously-included files matching '*.swp' found anywhere in distribution adding license file 'LICENSE' adding license file 'NOTICE' writing manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch.egg-info\SOURCES.txt' creating 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-inyji1j9\torch-2.9.0a0+git2d31c3d.dist-info' Preparing metadata (pyproject.toml) ... done Collecting filelock (from torch==2.9.0a0+git2d31c3d) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/42/14/42b2651a2f46b022ccd948bca9f2d5af0fd8929c4eec235b8d6d844fbe67/filelock-3.19.1-py3-none-any.whl (15 kB) Requirement already satisfied: typing-extensions>=4.10.0 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from torch==2.9.0a0+git2d31c3d) (4.15.0) Collecting sympy>=1.13.3 (from torch==2.9.0a0+git2d31c3d) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl (6.3 MB) Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/eb/8d/776adee7bbf76365fdd7f2552710282c79a4ead5d2a46408c9043a2b70ba/networkx-3.5-py3-none-any.whl (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11) Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/6c/4f/ccdb8ad3a38e583f214547fd2f7ff1fc160c43a75af88e6aec213404b96a/networkx-3.5.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11) Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/3f/a1/46c1b6e202e3109d2a035b21a7e5534c5bb233ee30752d7f16a0bd4c3989/networkx-3.5rc0-py3-none-any.whl (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11) Link requires a different Python (3.10.10 not in: '>=3.11'): https://pypi.tuna.tsinghua.edu.cn/packages/90/7e/0319606a20ced20730806b9f7fe91d8a92f7da63d76a5c388f87d3f7d294/networkx-3.5rc0.tar.gz (from https://pypi.tuna.tsinghua.edu.cn/simple/networkx/) (requires-python:>=3.11) Collecting networkx>=2.5.1 (from torch==2.9.0a0+git2d31c3d) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl (1.7 MB) Collecting jinja2 (from torch==2.9.0a0+git2d31c3d) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl (134 kB) Collecting fsspec>=0.8.5 (from torch==2.9.0a0+git2d31c3d) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/47/71/70db47e4f6ce3e5c37a607355f80da8860a33226be640226ac52cb05ef2e/fsspec-2025.9.0-py3-none-any.whl (199 kB) Collecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch==2.9.0a0+git2d31c3d) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl (536 kB) Collecting MarkupSafe>=2.0 (from jinja2->torch==2.9.0a0+git2d31c3d) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/44/06/e7175d06dd6e9172d4a69a72592cb3f7a996a9c396eee29082826449bbc3/MarkupSafe-3.0.2-cp310-cp310-win_amd64.whl (15 kB) Building wheels for collected packages: torch Running command Building wheel for torch (pyproject.toml) Building wheel torch-2.9.0a0+git2d31c3d -- Building version 2.9.0a0+git2d31c3d E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\setuptools\_distutils\_msvccompiler.py:12: UserWarning: _get_vc_env is private; find an alternative (pypa/distutils#340) warnings.warn( Cloning into 'nccl'... Note: switching to '3ea7eedf3b9b94f1d9f99f4e55536dfcbd23c1ca'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c <new-branch-name> Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false cmake -GNinja -DBUILD_PYTHON=True -DBUILD_TEST=True -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=E:\PyTorch_Build\pytorch\torch -DCMAKE_PREFIX_PATH=E:\PyTorch_Build\pytorch\rtx5070_env\Lib\site-packages -DCUDNN_INCLUDE_DIR=E:\Program Files\NVIDIA\CUNND\v9.12\include\12.9 -DCUDNN_LIBRARY=E:\Program Files\NVIDIA\CUNND\v9.12\lib\12.9\x64 -DCUDNN_ROOT=E:\Program Files\NVIDIA\CUNND\v9.12 -DPython_EXECUTABLE=E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe -DPython_NumPy_INCLUDE_DIR=E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\numpy\_core\include -DTORCH_BUILD_VERSION=2.9.0a0+git2d31c3d -DTORCH_CUDA_ARCH_LIST=8.9 -DUSE_NUMPY=True -DUSE_OPENBLAS=1 E:\PyTorch_Build\pytorch CMake Deprecation Warning at CMakeLists.txt:9 (cmake_policy): The OLD behavior for policy CMP0126 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- The CXX compiler identification is MSVC 19.44.35215.0 -- The C compiler identification is MSVC 19.44.35215.0 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Not forcing any particular BLAS to be found CMake Warning at CMakeLists.txt:421 (message): TensorPipe cannot be used on Windows. Set it to OFF CMake Warning at CMakeLists.txt:423 (message): KleidiAI cannot be used on Windows. Set it to OFF CMake Warning at CMakeLists.txt:435 (message): Libuv is not installed in current conda env. Set USE_DISTRIBUTED to OFF. Please run command 'conda install -c conda-forge libuv=1.39' to install libuv. -- Performing Test C_HAS_AVX_1 -- Performing Test C_HAS_AVX_1 - Success -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Success -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Success -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Success -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Success -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Success -- Current compiler supports avx2 extension. Will build perfkernels. -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Failed -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Failed -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- Compiler does not support SVE extension. Will not build perfkernels. CMake Warning at CMakeLists.txt:841 (message): x64 operating system is required for FBGEMM. Not compiling with FBGEMM. Turn this warning off by USE_FBGEMM=OFF. -- Performing Test HAS/UTF_8 -- Performing Test HAS/UTF_8 - Success -- Found CUDA: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 (found version "13.0") -- The CUDA compiler identification is NVIDIA 13.0.48 with host compiler MSVC 19.44.35215.0 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Found CUDAToolkit: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/include (found version "13.0.48") -- PyTorch: CUDA detected: 13.0 -- PyTorch: CUDA nvcc is: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe -- PyTorch: CUDA toolkit directory: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- PyTorch: Header version is: 13.0 -- Found Python: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe (found version "3.10.10") found components: Interpreter CMake Warning at cmake/public/cuda.cmake:140 (message): Failed to compute shorthash for libnvrtc.so Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:869 (include) -- Found CUDNN: E:/Program Files/NVIDIA/CUNND/v9.12/lib/13.0/x64/cudnn.lib -- Could NOT find CUSPARSELT (missing: CUSPARSELT_LIBRARY_PATH CUSPARSELT_INCLUDE_PATH) CMake Warning at cmake/public/cuda.cmake:226 (message): Cannot find cuSPARSELt library. Turning the option off Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:869 (include) -- Could NOT find CUDSS (missing: CUDSS_LIBRARY_PATH CUDSS_INCLUDE_PATH) CMake Warning at cmake/public/cuda.cmake:242 (message): Cannot find CUDSS library. Turning the option off Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:869 (include) -- USE_CUFILE is set to 0. Compiling without cuFile support CMake Warning at cmake/public/cuda.cmake:317 (message): pytorch is not compatible with `CMAKE_CUDA_ARCHITECTURES` and will ignore its value. Please configure `TORCH_CUDA_ARCH_LIST` instead. Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:869 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_89,code=sm_89 CMake Warning at cmake/Dependencies.cmake:95 (message): Not compiling with XPU. Could NOT find SYCL. Suppress this warning with -DUSE_XPU=OFF. Call Stack (most recent call first): CMakeLists.txt:869 (include) -- Building using own protobuf under third_party per request. -- Use custom protobuf build. CMake Warning at cmake/ProtoBuf.cmake:37 (message): Ancient protobuf forces CMake compatibility Call Stack (most recent call first): cmake/ProtoBuf.cmake:87 (custom_protobuf_find) cmake/Dependencies.cmake:107 (include) CMakeLists.txt:869 (include) CMake Deprecation Warning at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. -- -- 3.13.0.0 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - not found -- Found Threads: TRUE -- Caffe2 protobuf include directory: $<BUILD_INTERFACE:E:/PyTorch_Build/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include> -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of void* -- Check size of void* - done -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:213 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:869 (include) CMake Warning at cmake/Dependencies.cmake:279 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:869 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - libiomp5md - pthread] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread] -- Library mkl_intel: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [libopenblas] -- Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Looking for sgemm_ -- Looking for sgemm_ - not found -- Cannot find a library with BLAS API. Not using BLAS. -- Using pocketfft in directory: E:/PyTorch_Build/pytorch/third_party/pocketfft/ CMake Deprecation Warning at third_party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. CMake Deprecation Warning at third_party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. CMake Deprecation Warning at third_party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. -- The ASM compiler identification is MSVC CMake Warning (dev) at rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineASMCompiler.cmake:234 (message): Policy CMP194 is not set: MSVC is not an assembler for language ASM. Run "cmake --help-policy CMP194" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): third_party/XNNPACK/CMakeLists.txt:18 (PROJECT) This warning is for project developers. Use -Wno-dev to suppress it. -- Found assembler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- Building for XNNPACK_TARGET_PROCESSOR: x86_64 -- Generating microkernels.cmake
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01-12 1689
TPM零知识学习十 —— tpm全安装流程复盘（中）
1.我们现在的进展到哪了 还差什么 ？ 2."PowerShell 7 环境已加载 (版本: 7.5.2) PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch PS E:\PyTorch_Build\pytorch> .\pytorch_env\Scripts\activate (pytorch_env) PS E:\PyTorch_Build\pytorch> # 列出所有可用的 Conda 环境 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda env list # conda environments: # base C:\Miniconda3 pytorch-env C:\Miniconda3\envs\pytorch-env (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 如果 pytorch_env 不存在，创建新环境 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda create -n pytorch_env python=3.10 -y 3 channel Terms of Service accepted Channels: - defaults - conda-forge - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: C:\Miniconda3\envs\pytorch_env added / updated specs: - python=3.10 done # # To activate this environment, use # # $ conda activate pytorch_env # # To deactivate an active environment, use # # $ conda deactivate (pytorch_env) PS E:\PyTorch_Build\pytorch> conda activate pytorch_env (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 安装必要的 Python 包 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda install -c conda-forge -y numpy mkl mkl-include mkl-service intel-openmp 3 channel Terms of Service accepted Channels: - conda-forge - defaults - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: done ## Package Plan ## environment location: C:\Miniconda3 added / updated specs: - intel-openmp - mkl - mkl-include - mkl-service - numpy The following packages will be downloaded: package | build ---------------------------|----------------- ca-certificates-2025.8.3 | h4c7d964_0 151 KB conda-forge intel-openmp-2025.2.0 | h57928b3_757 21.4 MB conda-forge libblas-3.9.0 | 34_h5709861_mkl 69 KB conda-forge libcblas-3.9.0 | 34_h2a3cdd5_mkl 69 KB conda-forge liblapack-3.9.0 | 34_hf9ab0e9_mkl 80 KB conda-forge llvm-openmp-20.1.8 | h29ce207_0 329 KB defaults mkl-2024.2.2 | h57928b3_16 98.3 MB conda-forge mkl-include-2025.2.0 | h57928b3_628 692 KB conda-forge mkl-service-2.5.2 | py313haca3b5c_0 64 KB conda-forge openssl-3.5.2 | h725018a_0 8.8 MB conda-forge ------------------------------------------------------------ Total: 130.0 MB The following NEW packages will be INSTALLED: llvm-openmp pkgs/main/win-64::llvm-openmp-20.1.8-h29ce207_0 mkl-service conda-forge/win-64::mkl-service-2.5.2-py313haca3b5c_0 The following packages will be UPDATED: ca-certificates pkgs/main/win-64::ca-certificates-202~ --> conda-forge/noarch::ca-certificates-2025.8.3-h4c7d964_0 intel-openmp 2024.2.1-h57928b3_1083 --> 2025.2.0-h57928b3_757 libblas 3.9.0-24_win64_mkl --> 3.9.0-34_h5709861_mkl libcblas 3.9.0-24_win64_mkl --> 3.9.0-34_h2a3cdd5_mkl liblapack 3.9.0-24_win64_mkl --> 3.9.0-34_hf9ab0e9_mkl mkl 2024.1.0-h66d3029_694 --> 2024.2.2-h57928b3_16 mkl-include 2024.1.0-h66d3029_694 --> 2025.2.0-h57928b3_628 openssl 3.1.8-ha4e3fda_0 --> 3.5.2-h725018a_0 Downloading and Extracting Packages: Preparing transaction: done Verifying transaction: done Executing transaction: done (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证 MKL 安装 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import mkl; print(f'MKL version: {mkl.__version__}')" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'mkl' (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import numpy as np; np.show_config()" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'numpy' (pytorch_env) PS E:\PyTorch_Build\pytorch> # 确保在 pytorch 源码目录 (pytorch_env) PS E:\PyTorch_Build\pytorch> cd E:\PyTorch_Build\pytorch (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 设置环境变量（根据您的实际路径修改） (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0" (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_INCLUDE_DIR = "E:\Program Files\NVIDIA\CUNND\v9.12\include" (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_LIBRARY = "E:\Program Files\NVIDIA\CUNND\v9.12\lib\x64\cudnn.lib" (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 安装构建依赖 (pytorch_env) PS E:\PyTorch_Build\pytorch> pip install cmake ninja Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: cmake in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (4.1.0) Requirement already satisfied: ninja in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (1.13.0) (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 开始构建 (pytorch_env) PS E:\PyTorch_Build\pytorch> python setup.py install --cmake -G "Ninja" ` >> -DCMAKE_CUDA_COMPILER="$env:CUDA_PATH\bin\nvcc.exe" ` >> -DCUDNN_INCLUDE_DIR="$env:CUDNN_INCLUDE_DIR" ` >> -DCUDNN_LIBRARY="$env:CUDNN_LIBRARY" Building wheel torch-2.9.0a0+git2d31c3d option -G not recognized (pytorch_env) PS E:\PyTorch_Build\pytorch> # 卸载现有版本 (pytorch_env) PS E:\PyTorch_Build\pytorch> pip uninstall -y torch torchvision torchaudio Found existing installation: torch 2.9.0a0+git2d31c3d Uninstalling torch-2.9.0a0+git2d31c3d: Successfully uninstalled torch-2.9.0a0+git2d31c3d WARNING: Skipping torchvision as it is not installed. WARNING: Skipping torchaudio as it is not installed. (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 安装 CUDA 12.1 版本的 PyTorch（兼容 CUDA 13.0） (pytorch_env) PS E:\PyTorch_Build\pytorch> pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 Looking in indexes: https://download.pytorch.org/whl/cu121 Collecting torch Using cached https://download.pytorch.org/whl/cu121/torch-2.5.1%2Bcu121-cp310-cp310-win_amd64.whl (2449.4 MB) Collecting torchvision Using cached https://download.pytorch.org/whl/cu121/torchvision-0.20.1%2Bcu121-cp310-cp310-win_amd64.whl (6.1 MB) Collecting torchaudio Using cached https://download.pytorch.org/whl/cu121/torchaudio-2.5.1%2Bcu121-cp310-cp310-win_amd64.whl (4.1 MB) Requirement already satisfied: filelock in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch) (3.19.1) Requirement already satisfied: typing-extensions>=4.8.0 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch) (4.15.0) Requirement already satisfied: networkx in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch) (3.4.2) Requirement already satisfied: jinja2 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch) (3.1.6) Requirement already satisfied: fsspec in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch) (2025.7.0) Collecting sympy==1.13.1 (from torch) Using cached https://download.pytorch.org/whl/sympy-1.13.1-py3-none-any.whl (6.2 MB) Requirement already satisfied: mpmath<1.4,>=1.1.0 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from sympy==1.13.1->torch) (1.3.0) Collecting numpy (from torchvision) Downloading https://download.pytorch.org/whl/numpy-2.1.2-cp310-cp310-win_amd64.whl.metadata (59 kB) Collecting pillow!=8.3.*,>=5.3.0 (from torchvision) Downloading https://download.pytorch.org/whl/pillow-11.0.0-cp310-cp310-win_amd64.whl.metadata (9.3 kB) Requirement already satisfied: MarkupSafe>=2.0 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from jinja2->torch) (3.0.2) Downloading https://download.pytorch.org/whl/pillow-11.0.0-cp310-cp310-win_amd64.whl (2.6 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.6/2.6 MB 5.7 MB/s 0:00:00 Downloading https://download.pytorch.org/whl/numpy-2.1.2-cp310-cp310-win_amd64.whl (12.9 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.9/12.9 MB 27.8 MB/s 0:00:00 Installing collected packages: sympy, pillow, numpy, torch, torchvision, torchaudio Attempting uninstall: sympy Found existing installation: sympy 1.14.0 Uninstalling sympy-1.14.0: Successfully uninstalled sympy-1.14.0 Successfully installed numpy-2.1.2 pillow-11.0.0 sympy-1.13.1 torch-2.5.1+cu121 torchaudio-2.5.1+cu121 torchvision-0.20.1+cu121 (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 或者安装特定版本 (pytorch_env) PS E:\PyTorch_Build\pytorch> pip install torch==2.3.0+cu121 torchvision==0.18.0+cu121 torchaudio==2.3.0 -f https://download.pytorch.org/whl/torch_stable.html Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Looking in links: https://download.pytorch.org/whl/torch_stable.html Collecting torch==2.3.0+cu121 Downloading https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp310-cp310-win_amd64.whl (2413.3 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.4/2.4 GB 27.9 MB/s 0:01:13 Collecting torchvision==0.18.0+cu121 Downloading https://download.pytorch.org/whl/cu121/torchvision-0.18.0%2Bcu121-cp310-cp310-win_amd64.whl (5.7 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.7/5.7 MB 115.0 MB/s 0:00:00 Collecting torchaudio==2.3.0 Downloading https://download.pytorch.org/whl/cu121/torchaudio-2.3.0%2Bcu121-cp310-cp310-win_amd64.whl (4.1 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 4.1/4.1 MB 80.9 MB/s 0:00:00 Requirement already satisfied: filelock in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch==2.3.0+cu121) (3.19.1) Requirement already satisfied: typing-extensions>=4.8.0 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch==2.3.0+cu121) (4.15.0) Requirement already satisfied: sympy in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch==2.3.0+cu121) (1.13.1) Requirement already satisfied: networkx in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch==2.3.0+cu121) (3.4.2) Requirement already satisfied: jinja2 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch==2.3.0+cu121) (3.1.6) Requirement already satisfied: fsspec in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torch==2.3.0+cu121) (2025.7.0) Collecting mkl<=2021.4.0,>=2021.1.1 (from torch==2.3.0+cu121) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/fe/1c/5f6dbf18e8b73e0a5472466f0ea8d48ce9efae39bd2ff38cebf8dce61259/mkl-2021.4.0-py2.py3-none-win_amd64.whl (228.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 228.5/228.5 MB 46.8 MB/s 0:00:05 Requirement already satisfied: numpy in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torchvision==0.18.0+cu121) (2.1.2) Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from torchvision==0.18.0+cu121) (11.0.0) Collecting intel-openmp==2021.* (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.0+cu121) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/6f/21/b590c0cc3888b24f2ac9898c41d852d7454a1695fbad34bee85dba6dc408/intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl (3.5 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3.5/3.5 MB 51.7 MB/s 0:00:00 Requirement already satisfied: tbb==2021.* in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from mkl<=2021.4.0,>=2021.1.1->torch==2.3.0+cu121) (2021.13.1) Requirement already satisfied: MarkupSafe>=2.0 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from jinja2->torch==2.3.0+cu121) (3.0.2) Requirement already satisfied: mpmath<1.4,>=1.1.0 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from sympy->torch==2.3.0+cu121) (1.3.0) Installing collected packages: intel-openmp, mkl, torch, torchvision, torchaudio Attempting uninstall: intel-openmp Found existing installation: intel-openmp 2024.2.1 Uninstalling intel-openmp-2024.2.1: Successfully uninstalled intel-openmp-2024.2.1 Attempting uninstall: torch Found existing installation: torch 2.5.1+cu121 Uninstalling torch-2.5.1+cu121: Successfully uninstalled torch-2.5.1+cu121 Attempting uninstall: torchvision Found existing installation: torchvision 0.20.1+cu121 Uninstalling torchvision-0.20.1+cu121: Successfully uninstalled torchvision-0.20.1+cu121 Attempting uninstall: torchaudio Found existing installation: torchaudio 2.5.1+cu121 Uninstalling torchaudio-2.5.1+cu121: Successfully uninstalled torchaudio-2.5.1+cu121 ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. mkl-static 2024.1.0 requires intel-openmp==2024.*, but you have intel-openmp 2021.4.0 which is incompatible. Successfully installed intel-openmp-2021.4.0 mkl-2021.4.0 torch-2.3.0+cu121 torchaudio-2.3.0+cu121 torchvision-0.18.0+cu121 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c " >> import torch >> from torch.utils import cpp_extension >> >> print('='*50) >> print(f'PyTorch 版本: {torch.__version__}') >> print(f'CUDA 可用: {torch.cuda.is_available()}') >> if torch.cuda.is_available(): >> print(f'CUDA 版本: {torch.version.cuda}') >> print(f'cuDNN 版本: {torch.backends.cudnn.version()}') >> print(f'GPU 名称: {torch.cuda.get_device_name(0)}') >> >> print('='*20 + ' 配置信息 ' + '='*20) >> print(torch.__config__.show()) >> >> print('='*20 + ' 简单计算测试 ' + '='*20) >> x = torch.randn(1000, 1000, device='cuda') >> y = torch.randn(1000, 1000, device='cuda') >> z = x @ y >> print(f'矩阵乘法完成: {z.size()}') >> >> print('='*20 + ' cuDNN 卷积测试 ' + '='*20) >> conv = torch.nn.Conv2d(3, 64, kernel_size=3).cuda() >> input = torch.randn(1, 3, 256, 256).cuda() >> output = conv(input) >> print(f'卷积输出尺寸: {output.size()}') >> >> print('='*20 + ' MKL 性能测试 ' + '='*20) >> a = torch.randn(5000, 5000) >> b = torch.randn(5000, 5000) >> c = a @ b >> print(f'CPU 矩阵乘法完成: {c.size()}') >> >> print('='*50) >> " ================================================== PyTorch 版本: 2.3.0+cu121 CUDA 可用: True CUDA 版本: 12.1 cuDNN 版本: 8801 E:\PyTorch_Build\pytorch\pytorch_env\lib\site-packages\torch\cuda\__init__.py:209: UserWarning: NVIDIA GeForce RTX 5070 with CUDA capability sm_120 is not compatible with the current PyTorch installation. The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90. If you want to use the NVIDIA GeForce RTX 5070 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/ warnings.warn( GPU 名称: NVIDIA GeForce RTX 5070 ==================== 配置信息 ==================== PyTorch built with: - C++ Version: 201703 - MSVC 192930151 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v3.3.6 (Git Hash 86e6af5974177e513fd3fee58425e1063e7f1361) - OpenMP 2019 - LAPACK is enabled (usually provided by MKL) - CPU capability usage: AVX2 - CUDA Runtime 12.1 - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-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 - CuDNN 8.8.1 (built against CUDA 12.0) - Magma 2.5.4 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=12.1, CUDNN_VERSION=8.8.1, CXX_COMPILER=C:/actions-runner/_work/pytorch/pytorch/builder/windows/tmp_bin/sccache-cl.exe, CXX_FLAGS=/DWIN32 /D_WINDOWS /GR /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=2.3.0, USE_CUDA=ON, USE_CUDNN=ON, USE_CUSPARSELT=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_GLOO=ON, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=OFF, USE_OPENMP=ON, USE_ROCM=OFF, USE_ROCM_KERNEL_ASSERT=OFF, ==================== 简单计算测试 ==================== A module that was compiled using NumPy 1.x cannot be run in NumPy 2.1.2 as it may crash. To support both 1.x and 2.x versions of NumPy, modules must be compiled with NumPy 2.0. Some module may need to rebuild instead e.g. with 'pybind11>=2.12'. If you are a user of the module, the easiest solution will be to downgrade to 'numpy<2' or try to upgrade the affected module. We expect that some modules will need time to support NumPy 2. Traceback (most recent call last): File "<string>", line 17, in <module> <string>:17: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:84.) Traceback (most recent call last): File "<string>", line 17, in <module> RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. “
09-02
RuntimeError: CUDA error: no kernel image is available for execution on the device ``` ### 完整解决方案 #### 1. 解决 GPU 兼容性问题 ```powershell:fix_gpu_compatibility.ps1 # 安装支持 sm_120 架构的...
安卓依赖包版本冲突:has different version for the compile (1.0.10) and runtime (1.0.11) classpath.
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Android dependency ‘xxx‘ has different version for the compile错误解决步骤
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在项目根目录下执行如下命令，将依赖导出到文件： ./gradlew app:dependencies > log_depend.txt 打开上面的log_depend.txt文件，然后搜索查找版本冲突的库，CTRL+F androidx.media:medi 根据层级判断出来 在我创建activity、的时候他自动在build.gradle中添加了依赖 删...
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geekqian的博客
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http://www.geekqian.com/post/c457e143.html 转载请注明出处 用 ext 统一管理版本时碰见这个奇葩的BUG, 于是谷歌了下, 目前是解决了这个问题, 但是原因不是很清楚. 参考: https://stackoverflow.com/a/47268500/8920453 我是在使用 “com.android.support:design” 这...
Android Runtime（一）
2401_85014260的博客
05-16 470
1.init进程作为linux启动过程中的一个重要的进程，它主要负责文件系统的挂载，属性的初始化，各种配置的加载启动以及Action触发，Service的启动，而Zygote作为Java环境下的服务进程，也在Init.rc中进行了配置，而init进程是由main函数进行触发的。bin sbin system/bin是init进程fork出来的，PPID是1，其他都是zygote进程fork出来的，PPID是2。Android上层是java，framework是java，native是c++，驱动是c。
flutter Android dependency 'androidx.core:core' has different version for the compile (1.0.0
风唯美的博客
11-25 5559
标题 flutter Android dependency ‘androidx.core:core’ has different version flutter 运行出现上述问题 解决办法： https://github.com/flutter/flutter/issues/27254 flutter应用程序中有kotlin支持，要解决此问题 要在android / build.gradle中更...
Android dependency ‘androidx.core:core’ has different version for the compile
yzpbright的博客
05-19 1621
直接在安卓项目的根目录下的build.gradle添加代码如下： subprojects { project.configurations.all { resolutionStrategy.eachDependency { details -> if (details.requested.group == 'androidx.core' && !details.requested.name.contains('androi
releaseRuntimeClasspath - Resolved configuration for runtime for variant: release +--- androidx.appcompat:appcompat:1.6.1 | +--- androidx.activity:activity:1.6.0 -> 1.8.0 | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.collection:collection:1.0.0 -> 1.1.0 | | | \--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.core:core:1.8.0 -> 1.9.0 | | | +--- androidx.annotation:annotation:1.2.0 -> 1.3.0 | | | +--- androidx.annotation:annotation-experimental:1.3.0 | | | | \--- org.jetbrains.kotlin:kotlin-stdlib:1.7.10 -> 1.8.22 | | | | +--- org.jetbrains.kotlin:kotlin-stdlib-common:1.8.22 | | | | \--- org.jetbrains:annotations:13.0 | | | +--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | | | +--- androidx.concurrent:concurrent-futures:1.0.0 -> 1.1.0 | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | \--- com.google.guava:listenablefuture:1.0 | | | +--- androidx.lifecycle:lifecycle-runtime:2.3.1 -> 2.6.1 | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | +--- androidx.arch.core:core-common:2.2.0 | | | | | \--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | +--- androidx.arch.core:core-runtime:2.2.0 | | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | | \--- androidx.arch.core:core-common:2.2.0 (*) | | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 | | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | | | +--- org.jetbrains.kotlinx:kotlinx-coroutines-android:1.6.4 | | | | | | +--- org.jetbrains.kotlinx:kotlinx-coroutines-core:1.6.4 | | | | | | | \--- org.jetbrains.kotlinx:kotlinx-coroutines-core-jvm:1.6.4 | | | | | | | +--- org.jetbrains.kotlinx:kotlinx-coroutines-bom:1.6.4 | | | | | | | | +--- org.jetbrains.kotlinx:kotlinx-coroutines-android:1.6.4 (c) | | | | | | | | +--- org.jetbrains.kotlinx:kotlinx-coroutines-core:1.6.4 (c) | | | | | | | | \--- org.jetbrains.kotlinx:kotlinx-coroutines-core-jvm:1.6.4 (c) | | | | | | | +--- org.jetbrains.kotlin:kotlin-stdlib-jdk8:1.6.21 -> 1.8.22 | | | | | | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.22 (*) | | | | | | | | \--- org.jetbrains.kotlin:kotlin-stdlib-jdk7:1.8.22 | | | | | | | | \--- org.jetbrains.kotlin:kotlin-stdlib:1.8.22 (*) | | | | | | | \--- org.jetbrains.kotlin:kotlin-stdlib-common:1.6.21 -> 1.8.22 | | | | | | +--- org.jetbrains.kotlinx:kotlinx-coroutines-bom:1.6.4 (*) | | | | | | \--- org.jetbrains.kotlin:kotlin-stdlib-jdk8:1.6.21 -> 1.8.22 (*) | | | | | +--- androidx.lifecycle:lifecycle-livedata:2.6.1 (c) | | | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 (c) | | | | | +--- androidx.lifecycle:lifecycle-process:2.6.1 (c) | | | | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (c) | | | | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 (c) | | | | | \--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.6.1 (c) | | | | +--- androidx.profileinstaller:profileinstaller:1.3.0 | | | | | +--- androidx.annotation:annotation:1.2.0 -> 1.3.0 | | | | | +--- androidx.concurrent:concurrent-futures:1.1.0 (*) | | | | | +--- androidx.startup:startup-runtime:1.1.1 | | | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | | | \--- androidx.tracing:tracing:1.0.0 | | | | | | \--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | | \--- com.google.guava:listenablefuture:1.0 | | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-process:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.6.1 (c) | | | | \--- androidx.lifecycle:lifecycle-livedata:2.6.1 (c) | | | +--- androidx.versionedparcelable:versionedparcelable:1.1.1 | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | \--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | | | \--- androidx.core:core-ktx:1.9.0 (c) | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (*) | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-process:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.6.1 (c) | | | \--- androidx.lifecycle:lifecycle-livedata:2.6.1 (c) | | +--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.6.1 | | | +--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | | | +--- androidx.core:core-ktx:1.2.0 -> 1.9.0 | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | +--- androidx.core:core:1.9.0 (*) | | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.7.10 -> 1.8.22 (*) | | | | \--- androidx.core:core:1.9.0 (c) | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 | | | | +--- androidx.arch.core:core-common:2.1.0 -> 2.2.0 (*) | | | | +--- androidx.arch.core:core-runtime:2.1.0 -> 2.2.0 (*) | | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (*) | | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-livedata:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-process:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 (c) | | | | \--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 (*) | | | +--- androidx.savedstate:savedstate:1.2.1 | | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | | +--- androidx.arch.core:core-common:2.1.0 -> 2.2.0 (*) | | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (*) | | | | \--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | +--- org.jetbrains.kotlinx:kotlinx-coroutines-android:1.6.4 (*) | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-process:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 (c) | | | \--- androidx.lifecycle:lifecycle-livedata:2.6.1 (c) | | +--- androidx.profileinstaller:profileinstaller:1.3.0 (*) | | +--- androidx.savedstate:savedstate:1.2.1 (*) | | +--- androidx.tracing:tracing:1.0.0 (*) | | \--- org.jetbrains.kotlin:kotlin-stdlib:1.8.22 (*) | +--- androidx.annotation:annotation:1.3.0 | +--- androidx.appcompat:appcompat-resources:1.6.1 | | +--- androidx.annotation:annotation:1.2.0 -> 1.3.0 | | +--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | | +--- androidx.core:core:1.6.0 -> 1.9.0 (*) | | +--- androidx.vectordrawable:vectordrawable:1.1.0 | | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | | +--- androidx.core:core:1.1.0 -> 1.9.0 (*) | | | \--- androidx.collection:collection:1.1.0 (*) | | +--- androidx.vectordrawable:vectordrawable-animated:1.1.0 | | | +--- androidx.vectordrawable:vectordrawable:1.1.0 (*) | | | +--- androidx.interpolator:interpolator:1.0.0 | | | | \--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | | | \--- androidx.collection:collection:1.1.0 (*) | | \--- androidx.appcompat:appcompat:1.6.1 (c) | +--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | +--- androidx.core:core:1.9.0 (*) | +--- androidx.core:core-ktx:1.8.0 -> 1.9.0 (*) | +--- androidx.cursoradapter:cursoradapter:1.0.0 | | \--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | +--- androidx.drawerlayout:drawerlayout:1.0.0 -> 1.1.1 | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.core:core:1.2.0 -> 1.9.0 (*) | | \--- androidx.customview:customview:1.1.0 | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.core:core:1.3.0 -> 1.9.0 (*) | | \--- androidx.collection:collection:1.1.0 (*) | +--- androidx.emoji2:emoji2:1.2.0 | | +--- androidx.annotation:annotation:1.2.0 -> 1.3.0 | | +--- androidx.collection:collection:1.1.0 (*) | | +--- androidx.core:core:1.3.0 -> 1.9.0 (*) | | +--- androidx.lifecycle:lifecycle-process:2.4.1 -> 2.6.1 | | | +--- androidx.annotation:annotation:1.2.0 -> 1.3.0 | | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (*) | | | +--- androidx.startup:startup-runtime:1.1.1 (*) | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-livedata:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (c) | | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 (c) | | | \--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.6.1 (c) | | \--- androidx.startup:startup-runtime:1.0.0 -> 1.1.1 (*) | +--- androidx.emoji2:emoji2-views-helper:1.2.0 | | +--- androidx.collection:collection:1.1.0 (*) | | +--- androidx.core:core:1.3.0 -> 1.9.0 (*) | | \--- androidx.emoji2:emoji2:1.2.0 (*) | +--- androidx.fragment:fragment:1.3.6 | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.core:core:1.2.0 -> 1.9.0 (*) | | +--- androidx.collection:collection:1.1.0 (*) | | +--- androidx.viewpager:viewpager:1.0.0 | | | +--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | | | +--- androidx.core:core:1.0.0 -> 1.9.0 (*) | | | \--- androidx.customview:customview:1.0.0 -> 1.1.0 (*) | | +--- androidx.loader:loader:1.0.0 | | | +--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | | | +--- androidx.core:core:1.0.0 -> 1.9.0 (*) | | | +--- androidx.lifecycle:lifecycle-livedata:2.0.0 -> 2.6.1 | | | | +--- androidx.arch.core:core-common:2.1.0 -> 2.2.0 (*) | | | | +--- androidx.arch.core:core-runtime:2.1.0 -> 2.2.0 (*) | | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 (*) | | | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.10 -> 1.8.22 (*) | | | | +--- androidx.lifecycle:lifecycle-common:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-livedata-core:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-process:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-runtime:2.6.1 (c) | | | | +--- androidx.lifecycle:lifecycle-viewmodel:2.6.1 (c) | | | | \--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.6.1 (c) | | | \--- androidx.lifecycle:lifecycle-viewmodel:2.0.0 -> 2.6.1 (*) | | +--- androidx.activity:activity:1.2.4 -> 1.8.0 (*) | | +--- androidx.lifecycle:lifecycle-livedata-core:2.3.1 -> 2.6.1 (*) | | +--- androidx.lifecycle:lifecycle-viewmodel:2.3.1 -> 2.6.1 (*) | | +--- androidx.lifecycle:lifecycle-viewmodel-savedstate:2.3.1 -> 2.6.1 (*) | | +--- androidx.savedstate:savedstate:1.1.0 -> 1.2.1 (*) | | \--- androidx.annotation:annotation-experimental:1.0.0 -> 1.3.0 (*) | +--- androidx.lifecycle:lifecycle-runtime:2.5.1 -> 2.6.1 (*) | +--- androidx.lifecycle:lifecycle-viewmodel:2.5.1 -> 2.6.1 (*) | +--- androidx.resourceinspection:resourceinspection-annotation:1.0.1 | | \--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | +--- androidx.savedstate:savedstate:1.2.0 -> 1.2.1 (*) | +--- org.jetbrains.kotlin:kotlin-stdlib:1.7.10 -> 1.8.22 (*) | \--- androidx.appcompat:appcompat-resources:1.6.1 (c) +--- com.google.android.material:material:1.10.0 -> 1.11.0 | +--- org.jetbrains.kotlin:kotlin-bom:1.8.22 | | +--- org.jetbrains.kotlin:kotlin-stdlib:1.8.22 (c) | | +--- org.jetbrains.kotlin:kotlin-stdlib-common:1.8.22 (c) | | +--- org.jetbrains.kotlin:kotlin-stdlib-jdk8:1.8.22 (c) | | \--- org.jetbrains.kotlin:kotlin-stdlib-jdk7:1.8.22 (c) | +--- com.google.errorprone:error_prone_annotations:2.15.0 | +--- androidx.activity:activity:1.8.0 (*) | +--- androidx.annotation:annotation:1.2.0 -> 1.3.0 | +--- androidx.appcompat:appcompat:1.6.1 (*) | +--- androidx.cardview:cardview:1.0.0 | | \--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | +--- androidx.coordinatorlayout:coordinatorlayout:1.1.0 | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.core:core:1.1.0 -> 1.9.0 (*) | | +--- androidx.customview:customview:1.0.0 -> 1.1.0 (*) | | \--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | +--- androidx.constraintlayout:constraintlayout:2.0.1 -> 2.1.4 | | +--- androidx.appcompat:appcompat:1.2.0 -> 1.6.1 (*) | | +--- androidx.core:core:1.3.2 -> 1.9.0 (*) | | \--- androidx.constraintlayout:constraintlayout-core:1.0.4 | +--- androidx.core:core:1.6.0 -> 1.9.0 (*) | +--- androidx.drawerlayout:drawerlayout:1.1.1 (*) | +--- androidx.dynamicanimation:dynamicanimation:1.0.0 | | +--- androidx.core:core:1.0.0 -> 1.9.0 (*) | | +--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | | \--- androidx.legacy:legacy-support-core-utils:1.0.0 | | +--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | | +--- androidx.core:core:1.0.0 -> 1.9.0 (*) | | +--- androidx.documentfile:documentfile:1.0.0 | | | \--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | | +--- androidx.loader:loader:1.0.0 (*) | | +--- androidx.localbroadcastmanager:localbroadcastmanager:1.0.0 | | | \--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | | \--- androidx.print:print:1.0.0 | | \--- androidx.annotation:annotation:1.0.0 -> 1.3.0 | +--- androidx.annotation:annotation-experimental:1.0.0 -> 1.3.0 (*) | +--- androidx.fragment:fragment:1.2.5 -> 1.3.6 (*) | +--- androidx.lifecycle:lifecycle-runtime:2.0.0 -> 2.6.1 (*) | +--- androidx.recyclerview:recyclerview:1.0.0 -> 1.1.0 | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.core:core:1.1.0 -> 1.9.0 (*) | | +--- androidx.customview:customview:1.0.0 -> 1.1.0 (*) | | \--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | +--- androidx.resourceinspection:resourceinspection-annotation:1.0.1 (*) | +--- androidx.transition:transition:1.2.0 | | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | | +--- androidx.core:core:1.0.1 -> 1.9.0 (*) | | \--- androidx.collection:collection:1.0.0 -> 1.1.0 (*) | +--- androidx.vectordrawable:vectordrawable:1.1.0 (*) | \--- androidx.viewpager2:viewpager2:1.0.0 | +--- androidx.annotation:annotation:1.1.0 -> 1.3.0 | +--- androidx.fragment:fragment:1.1.0 -> 1.3.6 (*) | +--- androidx.recyclerview:recyclerview:1.1.0 (*) | +--- androidx.core:core:1.1.0 -> 1.9.0 (*) | \--- androidx.collection:collection:1.1.0 (*) +--- com.google.android.material:material:1.11.0 (*) +--- androidx.activity:activity:1.8.0 (*) \--- androidx.constraintlayout:constraintlayout:2.1.4 (*) (c) - A dependency constraint, not a dependency. The dependency affected by the constraint occurs elsewhere in the tree. (*) - Indicates repeated occurrences of a transitive dependency subtree. Gradle expands transitive dependency subtrees only once per project; repeat occurrences only display the root of the subtree, followed by this annotation. A web-based, searchable dependency report is available by adding the --scan option. BUILD SUCCESSFUL in 20s 1 actionable task: 1 executed
06-13
但根据用户新的提示，他们可能遇到了更复杂的依赖冲突，特别是涉及androidx.appcompat:appcompat和Material库的冲突。用户当前的错误是：`resourcestyle/Widget.MaterialComponents.ActionBarnotfound`，而他们使用...
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