Fatal error: cannot create 'R_TempDir'

最新推荐文章于 2024-02-20 18:03:44 发布
最新推荐文章于 2024-02-20 18:03:44 发布
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分类专栏： 小技巧 文章标签： tmp
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本文链接：https://blog.youkuaiyun.com/ada0915/article/details/73518738
本文介绍了解决R软件启动时出现的致命错误——无法创建'R_TempDir'的问题。该问题通常由于/tmp目录空间不足引起。文章提供了检查和清理/tmp目录的方法，并给出了具体的命令示例。 
[user@mgmt dir]$ R
Fatal error: cannot create 'R_TempDir'

[user@mgmt dir]$ ll -ad /tmp
drwxrwxrwt. 2 root root 135168 Jun 20 19:12 /tmp


[user@mgmt dir]$ df -lh /tmp
Filesystem      Size  Used Avail Use% Mounted on
/tmp            100G  100G     0 100% /tmp

ps: 解决方案：https://stackoverflow.com/questions/6307836/fatal-error-cannot-mkdir-r-tempdir

Find who is filling up the /tmp dir or /root dir and delete it

du -sh *

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PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env No pyvenv.cfg file PS E:\PyTorch_Build\pytorch> .\rtx5070_env\Scripts\activate .\rtx5070_env\Scripts\activate: The term '.\rtx5070_env\Scripts\activate' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. PS E:\PyTorch_Build\pytorch> # 修复 CMake CUDA 路径配置 PS E:\PyTorch_Build\pytorch> $cmakeCachePath = "E:\PyTorch_Build\pytorch\build\CMakeCache.txt" PS E:\PyTorch_Build\pytorch> $fixedCudaPath = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0" PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 使用正斜杠替换反斜杠避免转义问题 PS E:\PyTorch_Build\pytorch> (Get-Content $cmakeCachePath) -replace >> 'CUDA_TOOLKIT_ROOT_DIR:FILEPATH=C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v13\.0', >> "CUDA_TOOLKIT_ROOT_DIR:FILEPATH=$fixedCudaPath" | >> Set-Content $cmakeCachePath -Encoding UTF8 Get-Content: Cannot find path 'E:\PyTorch_Build\pytorch\build\CMakeCache.txt' because it does not exist. PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> Write-Host "✅ 已修复 CUDA 路径配置: $fixedCudaPath" ✅ 已修复 CUDA 路径配置: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 PS E:\PyTorch_Build\pytorch> # 创建虚拟环境激活脚本 PS E:\PyTorch_Build\pytorch> $activateScript = @" >> # E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1 >> param() >> >> # 设置环境变量 >> $env:VIRTUAL_ENV = "E:\PyTorch_Build\pytorch\rtx5070_env" >> $env:PATH = "E:\PyTorch_Build\pytorch\rtx5070_env\Scripts;" + $env:PATH >> >> # 移除旧的环境变量（如果存在） >> if ($env:_OLD_VIRTUAL_PATH) { >> $env:PATH = $env:_OLD_VIRTUAL_PATH >> } >> >> # 保存当前 PATH >> $env:_OLD_VIRTUAL_PATH = $env:PATH >> >> Write-Host "✅ 虚拟环境已激活: $env:VIRTUAL_ENV" -ForegroundColor Green >> "@ PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> $activateScript | Out-File "E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1" -Encoding UTF8 PS E:\PyTorch_Build\pytorch> # 手动配置 CMake 构建 PS E:\PyTorch_Build\pytorch> Set-Location "E:\PyTorch_Build\pytorch" PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 清理无效的构建缓存 PS E:\PyTorch_Build\pytorch> Remove-Item build -Recurse -Force -ErrorAction SilentlyContinue PS E:\PyTorch_Build\pytorch> New-Item -ItemType Directory -Path build | Out-Null PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 使用正确格式的路径变量 PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0" PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 配置 CMake PS E:\PyTorch_Build\pytorch> cmake -S . -B build ` >> -GNinja ` >> -DCMAKE_BUILD_TYPE=Release ` >> -DUSE_CUDA=ON ` >> -DUSE_CUDNN=ON ` >> -DCUDA_TOOLKIT_ROOT_DIR="$env:CUDA_PATH" ` >> -DCUDNN_ROOT="E:/Program Files/NVIDIA/CUDNN/v9.12" ` >> -DTORCH_CUDA_ARCH_LIST="8.6" ` >> -DBUILD_PYTHON=ON 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 GNU 13.2.0 -- The C compiler identification is GNU 13.2.0 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/ProgramData/mingw64/mingw64/bin/c++.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:/ProgramData/mingw64/mingw64/bin/gcc.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 - Failed -- Performing Test C_HAS_AVX_2 -- Performing Test C_HAS_AVX_2 - Success -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Failed -- Performing Test C_HAS_AVX2_2 -- Performing Test C_HAS_AVX2_2 - Success -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Failed -- Performing Test C_HAS_AVX512_2 -- Performing Test C_HAS_AVX512_2 - Success -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Failed -- Performing Test CXX_HAS_AVX_2 -- Performing Test CXX_HAS_AVX_2 - Success -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Failed -- Performing Test CXX_HAS_AVX2_2 -- Performing Test CXX_HAS_AVX2_2 - Success -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Failed -- Performing Test CXX_HAS_AVX512_2 -- Performing Test CXX_HAS_AVX512_2 - Success -- Current compiler supports avx2 extension. Will build perfkernels. -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success -- Performing Test COMPILER_SUPPORTS_RDYNAMIC -- Performing Test COMPILER_SUPPORTS_RDYNAMIC - 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. -- Could NOT find CUDA (missing: CUDA_INCLUDE_DIRS CUDA_CUDART_LIBRARY) (found version "13.0") CMake Warning at cmake/public/cuda.cmake:31 (message): PyTorch: CUDA cannot be found. Depending on whether you are building PyTorch or a PyTorch dependent library, the next warning / error will give you more info. Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:869 (include) CMake Warning at cmake/Dependencies.cmake:76 (message): Not compiling with CUDA. Suppress this warning with -DUSE_CUDA=OFF. Call Stack (most recent call first): CMakeLists.txt:869 (include) 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 - Success -- Found Threads: TRUE -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS -- Performing Test protobuf_HAVE_BUILTIN_ATOMICS - Success -- 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. CMake Deprecation Warning at aten/src/ATen/native/quantized/cpu/qnnpack/CMakeLists.txt:7 (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 GNU -- Found assembler: C:/ProgramData/mingw64/mingw64/bin/gcc.exe CMake Error at aten/src/ATen/native/quantized/cpu/qnnpack/CMakeLists.txt:58 (message): Unrecognized CMAKE_SYSTEM_PROCESSOR = AMD64 -- Configuring incomplete, errors occurred! PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 开始构建 PS E:\PyTorch_Build\pytorch> cmake --build build --config Release --parallel 8 ninja: error: loading 'build.ninja': The system cannot find the file specified. PS E:\PyTorch_Build\pytorch> # 步骤1: 修复虚拟环境激活脚本 PS E:\PyTorch_Build\pytorch> .\create_activate_script.ps1 .\create_activate_script.ps1: The term '.\create_activate_script.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 步骤2: 激活虚拟环境 PS E:\PyTorch_Build\pytorch> & "E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1" ParserError: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\activate.ps1:9 Line | 9 | if () { | ~ | Missing condition in if statement after 'if ('. PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 步骤3: 修复 CMake 缓存 PS E:\PyTorch_Build\pytorch> .\fix_cmake_cache.ps1 .\fix_cmake_cache.ps1: The term '.\fix_cmake_cache.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 步骤4: 重建 CMake 配置 PS E:\PyTorch_Build\pytorch> Set-Location "E:\PyTorch_Build\pytorch" PS E:\PyTorch_Build\pytorch> .\reconfigure_cmake.ps1 .\reconfigure_cmake.ps1: The term '.\reconfigure_cmake.ps1' is not recognized as a name of a cmdlet, function, script file, or executable program. Check the spelling of the name, or if a path was included, verify that the path is correct and try again. PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 步骤5: 构建 PyTorch PS E:\PyTorch_Build\pytorch> Set-Location "E:\PyTorch_Build\pytorch\build" PS E:\PyTorch_Build\pytorch\build> ninja ninja: error: loading 'build.ninja': The system cannot find the file specified. PS E:\PyTorch_Build\pytorch\build> PS E:\PyTorch_Build\pytorch\build> # 步骤6: 安装 PyTorch PS E:\PyTorch_Build\pytorch\build> Set-Location "E:\PyTorch_Build\pytorch" PS E:\PyTorch_Build\pytorch> pip install -v --no-build-isolation . Using pip 25.2 from E:\Python310\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:\Python310\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-f_2krmlk\torch.egg-info writing C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\PKG-INFO writing dependency_links to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\dependency_links.txt writing entry points to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\entry_points.txt writing requirements to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\requires.txt writing top-level names to C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\top_level.txt writing manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\torch.egg-info\SOURCES.txt' reading manifest file 'C:\Users\Administrator\AppData\Local\Temp\pip-modern-metadata-f_2krmlk\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.*' Preparing metadata (pyproject.toml) ... canceled ERROR: Operation cancelled by user PS E:\PyTorch_Build\pytorch>
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04-16 1079
注意一下报错标高亮的部分，网上搜了一下好像也是说因为Microsoft Visual C++版本的问题。pip3 install -r requirements.txt时报错。这里升级了一下Visual Studio到2022版本。安装完成后直接重新安装依赖，问题解决！1.克隆 PaddleOCR项目。2.激活paddle_env。1.创建conda环境。
error: subprocess-exited-with-error × Preparing metadata (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [22 lines of output] + meson setup C:\Users\15306\AppData\Local\Temp\pip-install-mubhp5rv\matplotlib_3dda6465b6e64089902dd54ab893a75e C:\Users\15306\AppData\Local\Temp\pip-install-mubhp5rv\matplotlib_3dda6465b6e64089902dd54ab893a75e\.mesonpy-te5138_p -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=C:\Users\15306\AppData\Local\Temp\pip-install-mubhp5rv\matplotlib_3dda6465b6e64089902dd54ab893a75e\.mesonpy-te5138_p\meson-python-native-file.ini The Meson build system Version: 1.8.1 Source dir: C:\Users\15306\AppData\Local\Temp\pip-install-mubhp5rv\matplotlib_3dda6465b6e64089902dd54ab893a75e Build dir: C:\Users\15306\AppData\Local\Temp\pip-install-mubhp5rv\matplotlib_3dda6465b6e64089902dd54ab893a75e\.mesonpy-te5138_p Build type: native build Program python found: YES 3.14.0 3.14.0 Project name: matplotlib Project version: 3.10.3 ..\meson.build:1:0: ERROR: Unable to get gcc pre-processor defines: Compiler stdout: ----- Compiler stderr: cc: fatal error: cannot execute 'cc1': CreateProcess: No such file or directory compilation terminated. ----- A full log can be found at C:\Users\15306\AppData\Local\Temp\pip-install-mubhp5rv\matplotlib_3dda6465b6e64089902dd54ab893a75e\.mesonpy-te5138_p\meson-logs\meson-log.txt [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed × Encountered error while generating package metadata. ╰─> See above for output. note: This is an issue with the package mentioned above, not pip. hint: See above for details.
06-06
| `fatal error: ft2build.h: No such file` | 安装`libfreetype6-dev` | | `meson.build:xxx:0: ERROR: Unknown compiler(s)` | 升级GCC或安装`gcc-multilib` | | `subprocess-exited-with-error` | 升级setuptools...
RStudio打开一片空白 and 由于用户中文名导致的Fatal error：cannot create ‘R_TempDir’
qq_41394324的博客
09-18 7721
身为一个因为通识课而要学习R的超级小白！！遇到这种问题真的头大，在网上查询了多种解决办法，终于搞出来了！！！！！！以下是我的解决办法，不一定全部适用。 问题1：RStudio打开一片空白 原因：由于RStudio没有识别到合适的R，可能是你下了多个版本的R，或者电脑识别不了R的路径。 解决办法： 1.RStudio和R要放在同一个文件夹下 2.按ctrl（一直按）同时打开RStudio，它会让你选...
Rstudio安装后报错“R cannot creat R_tempdir” 而排除路径中包含中文字符和R core未安装因素
MindeO_o的博客
05-06 824
Rstudio安装后报错“R cannot creat R_tempdir” 而排除路径中包含中文字符和R core未安装因素 解决方案：系统的用户变量被更改，导致Rstudio无法识别（？），将其编辑为默认途径 Path：%USERPROFILE%\AppData\Local\Microsoft\WindowsApps; TEMP：%USERPROFILE%\AppData\Local\Temp TMP：%USERPROFILE%\AppData\Local\Temp 这里注意格式要严格一致，笔者之前在\
Message: unknown error: cannot create temp dir for user data dir
KongJingRou的博客
12-14 3368
python selenium webdriver使用非administrator时出现该错误 解决方法： Win + R cmd 确认 输入echo %temp%回车 获得路径如C:\Users******~1\AppData\Local\Temp\2 打开相应的目录创建新目录2
selenium.common.exceptions.WebDriverException: cannot create temp dir for user data dir 错误
rongDang的博客
02-20 802
【代码】selenium.common.exceptions.WebDriverException: cannot create temp dir for user data dir 错误。
运行R 报错R cannot R_TempDir， 继而发现/dev/mapper/VG00-LV01 磁盘空间已满
weixin_33907511的博客
09-22 525
今天在运行R脚本的时候报了个错：Fatal error: cannot create 'R_TempDir'。排除了是自己写的代码的问题，想着应该是某个没见过的原因，google之，发现网上的说法是/tmp文件夹占满了磁盘空间。 运行 df 命令： Filesystem Size Used Avail Use% Mounted on /dev/mapper/VG0...
Fatal Error: Cannot create output file “project1.exe”
高筑墙，广积粮，缓称王
04-21 1187
解决方法：将项目下的project1.exe文件注释掉。另外，在stackoverflow找到类似的解答（对我没有用，仅提供参考）参考网站：Fatal Error: Cannot create output file “project1.exe”I found the solution. It appears that disabling the service “Application Exper
cannot create temp dir for unpacking extensions
qq_39594790的博客
06-22 1254
最近在做selenium+chromedriver的java截图时，将项目上传到服务器遇到此bug， 问题：项目在本地无次错误，但上传到服务器发生此错误，并且在测试后发现我们启动服务器的用户为普通用户，当切换为root用户，也没有问题能够正常截图。但是我们的环境最后不能使用root用户，所以得寻找其他解决方案。 经过多方测试后，发现普通用户对/tmp目录没有写的权限，需要添加w权限 解决: sudo chmod 777 /tmp 错误详情如下， 2020-06-15 10:18:50.180
Katalon自动化测试报错
weixin_58184269的博客
04-29 212
运行测试用例报错：Caused by: org.openqa.selenium.WebDriverException: unknown error: cannot create temp dir for user data dir。解决：1、更新ChromeDriver版本：Tools-->Update WebDrivers-->Chrome。2、还是不行的话应该是没有权限，以管理员身份重新打开Katalon。
fatal error: r_tempdir conta
03-21
### 关于 'r_tempdir' 导致的 Fatal Error 解决方案 在开发环境中遇到 `fatal error` 和变量 `r_tempdir` 的问题通常与编译器环境设置、临时文件路径配置以及依赖库加载有关。以下是可能的原因分析和解决方案： #### 1. 编译器环境中的临时目录配置 如果构建过程中涉及创建临时目录（如 `build\temp.win-amd64-3.7\Release\src\server`），则需要确保系统的临时目录可用并具有写权限[^1]。 可以通过以下方式验证和修复： - **Windows 平台**: 确认 `%TEMP%` 或 `%TMP%` 环境变量指向有效的路径，并拥有足够的磁盘空间。 - **Linux/MacOS 平台**: 检查 `/tmp` 是否可写入，或者通过命令重新定义临时目录位置： ```bash export TMPDIR=/path/to/new/temp/dir ``` #### 2. 动态链接库路径缺失 当动态链接库未被正确识别时，可能会引发类似的致命错误。例如，在安装 Protobuf 后运行 `protoc --version` 报错提示缺少共享对象文件 `libprotobuf.so.0`[^2]。这表明系统无法找到所需的 `.so` 文件。 解决方法包括但不限于： - 将动态库所在路径加入到环境变量中： ```bash export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib ``` - 更新全局链接器缓存以永久解决问题： ```bash sudo ldconfig /usr/local/lib ``` #### 3. 工具链版本兼容性 某些情况下，工具链之间的版本不匹配也会触发此类错误。比如使用较新的 Python 版本配合旧版 cx_Freeze 构建程序可能导致异常行为[^4]。建议升级至最新稳定版本或调整参数来规避潜在冲突： ```python cxfreeze D:/hello.py --target-dir D:/123 --no-copy-deps ``` 上述命令指定了目标输出目录 (`--target-dir`) 及禁用了自动复制依赖项的功能 (`--no-copy-deps`)。 #### 4. 自定义镜像源下载失败的影响 对于网络资源访问受限的情况，可以考虑切换为本地离线模式操作。例如 Petalinux 配置中提到替换默认在线 URL 至本地文件夹地址[^3]: ```plaintext file:///home/scilogyhunter/petalinux/downloads/downloads ``` 此更改减少了对外部服务器连接的需求，从而降低了因超时或其他原因引起的中断风险。 综上所述，针对具体项目应逐一排查以上几个方面是否存在隐患，并采取相应措施加以改进。 ---
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