版本升级Installation error: INSTALL_FAILED_VERSION_DOWNGRADE问题解决

最新推荐文章于 2025-03-24 09:47:39 发布
原创 最新推荐文章于 2025-03-24 09:47:39 发布 · 3.3k 阅读 · 0 ·
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#应用 #版本更新

本文介绍了在测试安装安卓应用时遇到的INSTALL_FAILED_VERSION_DOWNGRADE错误及其解决方法。当尝试安装的版本低于已安装版本时会出现此错误。解决方式包括卸载原有应用或修改AndroidManifest.xml中的versionCode。

问题：

在测试安装应用时，adb install报错：
Installation error: INSTALL_FAILED_VERSION_DOWNGRADE

原因：

已经安装的应用的版本比想在要安装的版本高。

解决办法：

1 卸载原来的应用，重新安装；

2 修改AndroidManifest.xml 的versionCode。versionCode越大版本越高。

查看android系统日志，INSTALL_FAILED_INVALID_APK 解决，安装apk,NO_CERTIFICATES
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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. “
最新发布
09-02
- **NumPy版本冲突**：当前安装的PyTorch版本（2.3.0）与NumPy 2.1.2存在兼容性问题 ### 解决方案 #### 1. 重新构建PyTorch以支持sm_120架构 ```powershell:rebuild_pytorch.ps1 # 卸载当前PyTorch pip uninstall ...
OpenStack环境搭建笔记（RDO快速部署版）（未完成各组件配置部分）
nailwl
04-16 1万+
1、http状态码 302 401 2、概念架构逻辑架构要精通从而故障诊断 3、glance镜像文件服务 raw qcow 4、metadata虚拟机镜像元数据 OpenStackClient http://docs.openstack.org/cli-reference/glance.html 5、container-format虚拟机镜像容器格式 bar...
(vlmgame) hxj@hxj:~/VLN-game/Grounded-Segment-Anything$ python -m pip install -e GroundingDINO Obtaining file:///home/hxj/VLN-game/Grounded-Segment-Anything/GroundingDINO Preparing metadata (setup.py) ... done Requirement already satisfied: torch in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (2.1.0) Requirement already satisfied: torchvision in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (0.16.0) Requirement already satisfied: transformers in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (4.55.4) Requirement already satisfied: addict in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (2.4.0) Requirement already satisfied: yapf in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (0.40.2) Requirement already satisfied: timm in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (1.0.19) Requirement already satisfied: numpy in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (2.1.3) Requirement already satisfied: opencv-python in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (4.12.0.88) Requirement already satisfied: supervision in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (0.26.1) Requirement already satisfied: pycocotools in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from groundingdino==0.1.0) (2.0.10) Requirement already satisfied: scipy>=1.10.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from supervision->groundingdino==0.1.0) (1.15.3) Requirement already satisfied: matplotlib>=3.6.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from supervision->groundingdino==0.1.0) (3.10.0) Requirement already satisfied: pyyaml>=5.3 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from supervision->groundingdino==0.1.0) (6.0.2) Requirement already satisfied: defusedxml>=0.7.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from supervision->groundingdino==0.1.0) (0.7.1) Requirement already satisfied: pillow>=9.4 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from supervision->groundingdino==0.1.0) (11.1.0) Requirement already satisfied: requests>=2.26.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from supervision->groundingdino==0.1.0) (2.32.3) Requirement already satisfied: tqdm>=4.62.3 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from supervision->groundingdino==0.1.0) (4.67.1) Requirement already satisfied: contourpy>=1.0.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (1.3.1) Requirement already satisfied: cycler>=0.10 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (0.11.0) Requirement already satisfied: fonttools>=4.22.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (4.55.3) Requirement already satisfied: kiwisolver>=1.3.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (1.4.8) Requirement already satisfied: packaging>=20.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (24.2) Requirement already satisfied: pyparsing>=2.3.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (3.2.0) Requirement already satisfied: python-dateutil>=2.7 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (2.9.0.post0) Requirement already satisfied: six>=1.5 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib>=3.6.0->supervision->groundingdino==0.1.0) (1.17.0) Requirement already satisfied: charset-normalizer<4,>=2 in /home/hxj/.local/lib/python3.10/site-packages (from requests>=2.26.0->supervision->groundingdino==0.1.0) (2.1.1) Requirement already satisfied: idna<4,>=2.5 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from requests>=2.26.0->supervision->groundingdino==0.1.0) (3.7) Requirement already satisfied: urllib3<3,>=1.21.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from requests>=2.26.0->supervision->groundingdino==0.1.0) (2.3.0) Requirement already satisfied: certifi>=2017.4.17 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from requests>=2.26.0->supervision->groundingdino==0.1.0) (2025.4.26) Requirement already satisfied: huggingface_hub in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from timm->groundingdino==0.1.0) (0.34.4) Requirement already satisfied: safetensors in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from timm->groundingdino==0.1.0) (0.6.2) Requirement already satisfied: filelock in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from huggingface_hub->timm->groundingdino==0.1.0) (3.17.0) Requirement already satisfied: fsspec>=2023.5.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from huggingface_hub->timm->groundingdino==0.1.0) (2025.3.2) Requirement already satisfied: typing-extensions>=3.7.4.3 in /home/hxj/.local/lib/python3.10/site-packages (from huggingface_hub->timm->groundingdino==0.1.0) (4.14.1) Requirement already satisfied: hf-xet<2.0.0,>=1.1.3 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from huggingface_hub->timm->groundingdino==0.1.0) (1.1.8) Requirement already satisfied: sympy in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (1.13.3) Requirement already satisfied: networkx in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (3.4.2) Requirement already satisfied: jinja2 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (3.1.6) Requirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (12.1.105) Requirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (12.1.105) Requirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (12.1.105) Requirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (8.9.2.26) Requirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (12.1.3.1) Requirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (11.0.2.54) Requirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (10.3.2.106) Requirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (11.4.5.107) Requirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (12.1.0.106) Requirement already satisfied: nvidia-nccl-cu12==2.18.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (2.18.1) Requirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (12.1.105) Requirement already satisfied: triton==2.1.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from torch->groundingdino==0.1.0) (2.1.0) Requirement already satisfied: nvidia-nvjitlink-cu12 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch->groundingdino==0.1.0) (12.9.86) Requirement already satisfied: MarkupSafe>=2.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from jinja2->torch->groundingdino==0.1.0) (3.0.2) Requirement already satisfied: mpmath<1.4,>=1.1.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from sympy->torch->groundingdino==0.1.0) (1.3.0) Requirement already satisfied: regex!=2019.12.17 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from transformers->groundingdino==0.1.0) (2024.11.6) Requirement already satisfied: tokenizers<0.22,>=0.21 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from transformers->groundingdino==0.1.0) (0.21.4) Requirement already satisfied: importlib-metadata>=6.6.0 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from yapf->groundingdino==0.1.0) (8.5.0) Requirement already satisfied: platformdirs>=3.5.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from yapf->groundingdino==0.1.0) (4.3.7) Requirement already satisfied: tomli>=2.0.1 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from yapf->groundingdino==0.1.0) (2.0.1) Requirement already satisfied: zipp>=3.20 in /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages (from importlib-metadata>=6.6.0->yapf->groundingdino==0.1.0) (3.21.0) Installing collected packages: groundingdino DEPRECATION: Legacy editable install of groundingdino==0.1.0 from file:///home/hxj/VLN-game/Grounded-Segment-Anything/GroundingDINO (setup.py develop) is deprecated. pip 25.3 will enforce this behaviour change. A possible replacement is to add a pyproject.toml or enable --use-pep517, and use setuptools >= 64. If the resulting installation is not behaving as expected, try using --config-settings editable_mode=compat. Please consult the setuptools documentation for more information. Discussion can be found at https://github.com/pypa/pip/issues/11457 Running setup.py develop for groundingdino error: subprocess-exited-with-error × python setup.py develop did not run successfully. │ exit code: 1 ╰─> [67 lines of output] A module that was compiled using NumPy 1.x cannot be run in NumPy 2.1.3 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 2, in <module> File "<pip-setuptools-caller>", line 35, in <module> File "/home/hxj/VLN-game/Grounded-Segment-Anything/GroundingDINO/setup.py", line 27, in <module> import torch File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/__init__.py", line 1382, in <module> from .functional import * # noqa: F403 File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/functional.py", line 7, in <module> import torch.nn.functional as F File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/__init__.py", line 1, in <module> from .modules import * # noqa: F403 File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/modules/__init__.py", line 35, in <module> from .transformer import TransformerEncoder, TransformerDecoder, \ File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/modules/transformer.py", line 20, in <module> device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), Building wheel groundingdino-0.1.0 Compiling with CUDA running develop /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/setuptools/command/develop.py:42: EasyInstallDeprecationWarning: easy_install command is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` and ``easy_install``. Instead, use pypa/build, pypa/installer or other standards-based tools. See https://github.com/pypa/setuptools/issues/917 for details. ******************************************************************************** !! easy_install.initialize_options(self) /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` directly. Instead, use pypa/build, pypa/installer or other standards-based tools. See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. ******************************************************************************** !! self.initialize_options() running egg_info writing groundingdino.egg-info/PKG-INFO writing dependency_links to groundingdino.egg-info/dependency_links.txt writing requirements to groundingdino.egg-info/requires.txt writing top-level names to groundingdino.egg-info/top_level.txt /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/utils/cpp_extension.py:502: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend. warnings.warn(msg.format('we could not find ninja.')) reading manifest file 'groundingdino.egg-info/SOURCES.txt' adding license file 'LICENSE' writing manifest file 'groundingdino.egg-info/SOURCES.txt' running build_ext error: [Errno 2] No such file or directory: '/home/hxj/anaconda3/envs/vlmgame/bin/nvcc' [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × python setup.py develop did not run successfully. │ exit code: 1 ╰─> [67 lines of output] A module that was compiled using NumPy 1.x cannot be run in NumPy 2.1.3 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 2, in <module> File "<pip-setuptools-caller>", line 35, in <module> File "/home/hxj/VLN-game/Grounded-Segment-Anything/GroundingDINO/setup.py", line 27, in <module> import torch File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/__init__.py", line 1382, in <module> from .functional import * # noqa: F403 File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/functional.py", line 7, in <module> import torch.nn.functional as F File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/__init__.py", line 1, in <module> from .modules import * # noqa: F403 File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/modules/__init__.py", line 35, in <module> from .transformer import TransformerEncoder, TransformerDecoder, \ File "/home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/modules/transformer.py", line 20, in <module> device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), Building wheel groundingdino-0.1.0 Compiling with CUDA running develop /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/setuptools/command/develop.py:42: EasyInstallDeprecationWarning: easy_install command is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` and ``easy_install``. Instead, use pypa/build, pypa/installer or other standards-based tools. See https://github.com/pypa/setuptools/issues/917 for details. ******************************************************************************** !! easy_install.initialize_options(self) /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated. !! ******************************************************************************** Please avoid running ``setup.py`` directly. Instead, use pypa/build, pypa/installer or other standards-based tools. See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details. ******************************************************************************** !! self.initialize_options() running egg_info writing groundingdino.egg-info/PKG-INFO writing dependency_links to groundingdino.egg-info/dependency_links.txt writing requirements to groundingdino.egg-info/requires.txt writing top-level names to groundingdino.egg-info/top_level.txt /home/hxj/anaconda3/envs/vlmgame/lib/python3.10/site-packages/torch/utils/cpp_extension.py:502: UserWarning: Attempted to use ninja as the BuildExtension backend but we could not find ninja.. Falling back to using the slow distutils backend. warnings.warn(msg.format('we could not find ninja.')) reading manifest file 'groundingdino.egg-info/SOURCES.txt' adding license file 'LICENSE' writing manifest file 'groundingdino.egg-info/SOURCES.txt' running build_ext error: [Errno 2] No such file or directory: '/home/hxj/anaconda3/envs/vlmgame/bin/nvcc' [end of output] note: This error originates from a subprocess, and is likely not a problem with pip.
08-25
你遇到的错误主要包含两个关键问题： --- ### ❌ 错误分析 #### 1. **找不到 `nvcc` 编译器** ```bash error: [Errno 2] No such file or directory: '/home/hxj/anaconda3/envs/vlmgame/bin/nvcc' ``` - **原因...
Android:Failure [INSTALL_FAILED_VERSION_DOWNGRADE]
CnPeng
08-08 1362
一、问题现象 APK内部升级时一直提示安装失败/无法安装等。 二、问题原因 通过 adb install xxx.apk 命令执行一次安装，这样可以看到具体的错误信息为：INSTALL_FAILED_VERSION_DOWNGRADE 导致该问题的原因大致如下： VersionCode 低于上一版 如果使用 gitVersion 作为versionCode ，那么更换代码仓库之后，gitVer...
wx 降级，出现INSTALL_FAILED_VERSION_DOWNGRADE
jestoo7的专栏
08-13 919
在进行如下操作前，一定要手机里的重要资料及聊天记录数据无价，恢复不易在win7命令行下，使用adb命令降级安装某信时，出现“INSTALL_FAILED_VERSION_DOWNGRADE”下载合适的版本，目前安装后已经无法登陆，weixin7022android1820_arm64.apk可以使用；先断网安装7018，然后卸载，使用自带的手机管家，彻底清理一下垃圾，再将7022版本复制到手机目录下，断网安装（一定要断网，不然提示安装失败）
Android Failure [INSTALL_FAILED_VERSION_DOWNGRADE][已解决]
wellorbetter的博客
03-24 1211
adb install 出现Android Failure [INSTALL_FAILED_VERSION_DOWNGRADE]-r即重新安装，-d即覆盖更低版本，-d需要和-r一起使用，-t即测试版。adb install -r -d -t your_app 即可。
【Android】错误：Installation error: INSTALL_FAILED_VERSION_DOWNGRADE
风吹起如花般细碎流年
01-14 8536
1. 问题提示 2. 解决方式这个问题的原因就是在你的手机或者模拟器上安装了同包名的应用，并且你当前运行的versionCode的值小于已经安装应用的versionCode的值，因此会提示安装失败！
Android 安装应用的时候提示Failure [INSTALL_FAILED_VERSION_DOWNGRADE]的解决方法
xiaowang_lj的博客
10-27 2849
使用adb install 命令安装Android应用的时候提示Android Failure [INSTALL_FAILED_VERSION_DOWNGRADE]，是因为该Android机器中已经存在了比这个应用的版本号更高的同包名应用。：adb install -r -d apk路径。
安装时 error: INSTALL_FAILED_VERSION_DOWNGRADE
热门推荐
03-11 2万+
INSTALL_FAILED_VERSION_DOWNGRADE 报错 error: INSTALL_FAILED_VERSION_DOWNGRADE 网上查原因：模拟器或者实际的device中已经安装了同名的app，且本次的版本并不高 解决：在模拟器或者实际的device中卸载此同名应用，之后再运行
Installation error: INSTALL_FAILED_VERSION_DOWNGRADE
Lu_Ca的博客
11-03 849
android程序运行的时候报错Installation error: INSTALL_FAILED_VERSION_DOWNGRADE。翻译是安装失败版本太低了。这时突然想到之前把android:versionCode="2"    android:versionName="2.0" 这两个属性设置过一个较高的值，然后又改回来的。然后，真机运行，手机上已经有一个较高的版本了，安装运行的这个版本太
[INSTALL_FAILED_VERSION_DOWNGRADE: Downgrade detected: Update version code 34 is older than current 35]
03-13
好的，我现在需要帮助用户解决Android应用安装时出现的INSTALL_FAILED_VERSION_DOWNGRADE错误。首先，我要理解这个错误的原因。根据用户提供的引用内容，这个错误是因为当前安装的APK版本号（versionCode）低于设备...
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