JAVA基础--db13_java_String&StringBuffer

本文详细介绍了Java中String类的特性和用法,包括字符串常量池的概念、String对象的创建方式及其比较方法。此外,还深入探讨了StringBuffer和StringBuilder的区别与应用场景。

String:


字符串存储在字符串常量池;字符串缓冲区支持可变的字符串

String str = “abc”;在常量池中创建一个对象

String str1 =new String(“abc”);//在堆中创建两个对象

Sys(str==str1);//false

Sys(str.equals(str1));//true,string类复写了object的equals方法,根据字符串的特点判别是否相等。比较的是内容,没复写前比较的是地址

字符串有一个构造可以直接将数组转为字符串

String s = newString(arr);

String字符串和数组一样角标都是从0开始

String(byte[]ascii,int offset,int length);从offset坐标开始,length个长度将其转换为字符串。

上面都是构造方法,下面讲讲其方法

字符串的几个常用获取方法:


获取一部分子串-------[ , )


转换:


数组到字符串è构造函数

valueOf();可以将基本数据类型转为字符串,全静态的方法

判断:


比较:

compareTo();//按照的是字典顺序进行比较

StringBuffer:字符串缓冲区append insert


可以存储不同类型的数据,存进去还是StringBuffer字符串缓冲区类型

因为是一个容器,可以放完数值型,再跟着放字符串型,总之,随便放。

增和删(对于容器的删除,要么是delete要么是remove)


sb.setLength(0);设置字符串缓冲区长度,为0的话,相当于清空缓冲区了

sb.reverse();反转。

      StringBuffer sb = newStringBuffer("sdakajhgk");

      System.out.println(sb.reverse());

输出:kghjakads

StringBuilder:和StringBuffer兼容

StringBuilder(通常用于单线程)不保证同步,StringBuffer(通常用于多线程)线程安全

jdk1.5之后出现了StringBuilder  优先使用StringBuilder

jdk升级无外乎三个方面:1:简化书写     2:提高效率           3:增加安全性

 

 

 

基于STM32 F4的永磁同步电机无位置传感器控制策略研究内容概要:本文围绕基于STM32 F4的永磁同步电机(PMSM)无位置传感器控制策略展开研究,重点探讨在不依赖物理位置传感器的情况下,如何通过算法实现对电机转子位置和速度的精确估计与控制。文中结合嵌入式开发平台STM32 F4,采用如滑模观测器、扩展卡尔曼滤波或高频注入法等先进观测技术,实现对电机反电动势或磁链的估算,进而完成无传感器矢量控制(FOC)。同时,研究涵盖系统建模、控制算法设计、仿真验证(可能使用Simulink)以及在STM32硬件平台上的代码实现与调试,旨在提高电机控制系统的可靠性、降低成本并增强环境适应性。; 适合人群:具备一定电力电子、自动控制理论基础和嵌入式开发经验的电气工程、自动化及相关专业的研究生、科研人员及从事电机驱动开发的工程师。; 使用场景及目标:①掌握永磁同步电机无位置传感器控制的核心原理与实现方法;②学习如何在STM32平台上进行电机控制算法的移植与优化;③为开发高性能、低成本的电机驱动系统提供技术参考与实践指导。; 阅读建议:建议读者结合文中提到的控制理论、仿真模型与实际代码实现进行系统学习,有条件者应在实验平台上进行验证,重点关注观测器设计、参数整定及系统稳定性分析等关键环节。
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
09-04
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