C.1 Configuring and compiling the GNU C Library

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本文介绍如何在单独的构建目录中配置和编译GNU C库，避免源代码污染，并提供详细的步骤说明及各种配置选项，如设置安装路径、选择编译器等。

原文地址::http://www.gnu.org/software/libc/manual/html_node/Configuring-and-compiling.html


The GNU C Library cannot be compiled in the source directory. You must build it in a separate build directory. For example, if you have unpacked the GNU C Library sources in /src/gnu/glibc-version, create a directory /src/gnu/glibc-build to put the object files in. This allows removing the whole build directory in case an error occurs, which is the safest way to get a fresh start and should always be done.

From your object directory, run the shell script configure located at the top level of the source tree. In the scenario above, you’d type

$ ../glibc-version/configure args…

Please note that even though you’re building in a separate build directory, the compilation may need to create or modify files and directories in the source directory.

configure takes many options, but the only one that is usually mandatory is ‘--prefix’. This option tells configure where you want the GNU C Library installed. This defaults to /usr/local, but the normal setting to install as the standard system library is ‘--prefix=/usr’ for GNU/Linux systems and ‘--prefix=’ (an empty prefix) for GNU/Hurd systems.

It may also be useful to set the CC and CFLAGS variables in the environment when running configure. CC selects the C compiler that will be used, and CFLAGS sets optimization options for the compiler.

The following list describes all of the available options for configure:

‘ --prefix=directory’

Install machine-independent data files in subdirectories of directory. The default is to install in /usr/local.

‘ --exec-prefix=directory’

Install the library and other machine-dependent files in subdirectories of directory. The default is to the ‘--prefix’ directory if that option is specified, or /usr/local otherwise.

‘ --with-headers=directory’

Look for kernel header files in directory, not /usr/include. The GNU C Library needs information from the kernel’s header files describing the interface to the kernel. The GNU C Library will normally look in /usr/include for them, but if you specify this option, it will look in DIRECTORY instead.

This option is primarily of use on a system where the headers in /usr/include come from an older version of the GNU C Library. Conflicts can occasionally happen in this case. You can also use this option if you want to compile the GNU C Library with a newer set of kernel headers than the ones found in /usr/include.

‘ --enable-add-ons[=list]’

Specify add-on packages to include in the build. If this option is specified with no list, it enables all the add-on packages it finds in the main source directory; this is the default behavior. You may specify an explicit list of add-ons to use in list, separated by spaces or commas (if you use spaces, remember to quote them from the shell). Each add-on in list can be an absolute directory name or can be a directory name relative to the main source directory, or relative to the build directory (that is, the current working directory). For example, ‘--enable-add-ons=nptl,../glibc-libidn-version’.

‘ --enable-kernel=version’

This option is currently only useful on GNU/Linux systems. The version parameter should have the form X.Y.Z and describes the smallest version of the Linux kernel the generated library is expected to support. The higher the version number is, the less compatibility code is added, and the faster the code gets.

‘ --with-binutils=directory’

Use the binutils (assembler and linker) in directory, not the ones the C compiler would default to. You can use this option if the default binutils on your system cannot deal with all the constructs in the GNU C Library. In that case, configure will detect the problem and suppress these constructs, so that the library will still be usable, but functionality may be lost—for example, you can’t build a shared libc with old binutils.

‘ --without-fp’

Use this option if your computer lacks hardware floating-point support and your operating system does not emulate an FPU.

‘ --disable-shared’

Don’t build shared libraries even if it is possible. Not all systems support shared libraries; you need ELF support and (currently) the GNU linker.

‘ --disable-profile’

Don’t build libraries with profiling information. You may want to use this option if you don’t plan to do profiling.

‘ --enable-static-nss’

Compile static versions of the NSS (Name Service Switch) libraries. This is not recommended because it defeats the purpose of NSS; a program linked statically with the NSS libraries cannot be dynamically reconfigured to use a different name database.

‘ --enable-hardcoded-path-in-tests’

By default, dynamic tests are linked to run with the installed C library. This option hardcodes the newly built C library path in dynamic tests so that they can be invoked directly.

‘ --disable-timezone-tools’

By default, timezone related utilities (zic, zdump, and tzselect) are installed with the GNU C Library. If you are building these independently (e.g. by using the ‘tzcode’ package), then this option will allow disabling the install of these.

Note that you need to make sure the external tools are kept in sync with the versions that the GNU C Library expects as the data formats may change over time. Consult the timezone subdirectory for more details.

‘ --enable-lock-elision=yes’

Enable lock elision for pthread mutexes by default.

‘ --enable-stack-protector’ ‘ --enable-stack-protector=strong’ ‘ --enable-stack-protector=all’

Compile the C library and all other parts of the glibc package (including the threading and math libraries, NSS modules, and transliteration modules) using the GCC -fstack-protector, -fstack-protector-strong or -fstack-protector-all options to detect stack overruns. Only the dynamic linker and a small number of routines called directly from assembler are excluded from this protection.

‘ --enable-pt_chown’

The file pt_chown is a helper binary for grantpt (see Pseudo-Terminals) that is installed setuid root to fix up pseudo-terminal ownership. It is not built by default because systems using the Linux kernel are commonly built with the devpts filesystem enabled and mounted at /dev/pts, which manages pseudo-terminal ownership automatically. By using ‘--enable-pt_chown’, you may build pt_chown and install it setuid and owned by root. The use of pt_chown introduces additional security risks to the system and you should enable it only if you understand and accept those risks.

‘ --disable-werror’

By default, the GNU C Library is built with -Werror. If you wish to build without this option (for example, if building with a newer version of GCC than this version of the GNU C Library was tested with, so new warnings cause the build with -Werror to fail), you can configure with --disable-werror.

‘ --disable-mathvec’

By default for x86_64, the GNU C Library is built with the vector math library. Use this option to disable the vector math library.

‘ --enable-tunables’

Tunables support allows additional library parameters to be customized at runtime. This is an experimental feature and affects startup time and is thus disabled by default. This option can take the following values:

no

This is the default if the option is not passed to configure. This disables tunables.

yes

This is the default if the option is passed to configure. This enables tunables and selects the default frontend (currently ‘valstring’).

valstring

This enables tunables and selects the ‘valstring’ frontend for tunables. This frontend allows users to specify tunables as a colon-separated list in a single environment variable GLIBC_TUNABLES.

‘ --build=build-system’ ‘ --host=host-system’

These options are for cross-compiling. If you specify both options and build-system is different from host-system, configure will prepare to cross-compile the GNU C Library from build-system to be used on host-system. You’ll probably need the ‘--with-headers’ option too, and you may have to override configure’s selection of the compiler and/or binutils.

If you only specify ‘--host’, configure will prepare for a native compile but use what you specify instead of guessing what your system is. This is most useful to change the CPU submodel. For example, if configure guesses your machine as i686-pc-linux-gnu but you want to compile a library for 586es, give ‘--host=i586-pc-linux-gnu’ or just ‘--host=i586-linux’ and add the appropriate compiler flags (‘-mcpu=i586’ will do the trick) to CFLAGS.

If you specify just ‘--build’, configure will get confused.

‘ --with-pkgversion=version’

Specify a description, possibly including a build number or build date, of the binaries being built, to be included in --version output from programs installed with the GNU C Library. For example, --with-pkgversion='FooBar GNU/Linux glibc build 123'. The default value is ‘GNU libc’.

‘ --with-bugurl=url’

Specify the URL that users should visit if they wish to report a bug, to be included in --help output from programs installed with the GNU C Library. The default value refers to the main bug-reporting information for the GNU C Library.

To build the library and related programs, type make. This will produce a lot of output, some of which may look like errors from make but aren’t. Look for error messages from make containing ‘***’. Those indicate that something is seriously wrong.

The compilation process can take a long time, depending on the configuration and the speed of your machine. Some complex modules may take a very long time to compile, as much as several minutes on slower machines. Do not panic if the compiler appears to hang.

If you want to run a parallel make, simply pass the ‘-j’ option with an appropriate numeric parameter to make. You need a recent GNU make version, though.

To build and run test programs which exercise some of the library facilities, type make check. If it does not complete successfully, do not use the built library, and report a bug after verifying that the problem is not already known. See Reporting Bugs, for instructions on reporting bugs. Note that some of the tests assume they are not being run by root. We recommend you compile and test the GNU C Library as an unprivileged user.

Before reporting bugs make sure there is no problem with your system. The tests (and later installation) use some pre-existing files of the system such as /etc/passwd, /etc/nsswitch.conf and others. These files must all contain correct and sensible content.

Normally, make check will run all the tests before reporting all problems found and exiting with error status if any problems occurred. You can specify ‘stop-on-test-failure=y’ when running make check to make the test run stop and exit with an error status immediately when a failure occurs.

The GNU C Library pretty printers come with their own set of scripts for testing, which run together with the rest of the testsuite through make check. These scripts require the following tools to run successfully:

  • Python 2.7.6/3.4.3 or later

    Python is required for running the printers’ test scripts.

  • PExpect 4.0

    The printer tests drive GDB through test programs and compare its output to the printers’. PExpect is used to capture the output of GDB, and should be compatible with the Python version in your system.

  • GDB 7.8 or later with support for Python 2.7.6/3.4.3 or later

    GDB itself needs to be configured with Python support in order to use the pretty printers. Notice that your system having Python available doesn’t imply that GDB supports it, nor that your system’s Python and GDB’s have the same version.

If these tools are absent, the printer tests will report themselves as UNSUPPORTED. Notice that some of the printer tests require the GNU C Library to be compiled with debugging symbols.

To format the GNU C Library Reference Manual for printing, type make dvi. You need a working TeX installation to do this. The distribution builds the on-line formatted version of the manual, as Info files, as part of the build process. You can build them manually with make info.

The library has a number of special-purpose configuration parameters which you can find in Makeconfig. These can be overwritten with the file configparms. To change them, create a configparms in your build directory and add values as appropriate for your system. The file is included and parsed by make and has to follow the conventions for makefiles.

It is easy to configure the GNU C Library for cross-compilation by setting a few variables in configparms. Set CC to the cross-compiler for the target you configured the library for; it is important to use this same CC value when running configure, like this: ‘CC=target-gcc configure target’. Set BUILD_CC to the compiler to use for programs run on the build system as part of compiling the library. You may need to set AR to cross-compiling versions of ar if the native tools are not configured to work with object files for the target you configured for. When cross-compiling the GNU C Library, it may be tested using ‘make check test-wrapper="srcdir/scripts/cross-test-ssh.sh hostname"’, where srcdir is the absolute directory name for the main source directory and hostname is the host name of a system that can run the newly built binaries of the GNU C Library. The source and build directories must be visible at the same locations on both the build system and hostname.

In general, when testing the GNU C Library, ‘test-wrapper’ may be set to the name and arguments of any program to run newly built binaries. This program must preserve the arguments to the binary being run, its working directory and the standard input, output and error file descriptors. If ‘test-wrapper env’ will not work to run a program with environment variables set, then ‘test-wrapper-env’ must be set to a program that runs a newly built program with environment variable assignments in effect, those assignments being specified as ‘var=value’ before the name of the program to be run. If multiple assignments to the same variable are specified, the last assignment specified must take precedence. Similarly, if ‘test-wrapper env -i’ will not work to run a program with an environment completely empty of variables except those directly assigned, then ‘test-wrapper-env-only’ must be set; its use has the same syntax as ‘test-wrapper-env’, the only difference in its semantics being starting with an empty set of environment variables rather than the ambient set.


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debian12安装root@debian:/usr/src/asterisk-13.38.3# ./configure --with-crypto --with-ssl --with-srtp --with-pjproject-bundled checking build system type... x86_64-pc-linux-gnu checking host system type... x86_64-pc-linux-gnu checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc accepts -g... yes checking for gcc option to accept ISO C89... none needed checking how to run the C preprocessor... gcc -E checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking minix/config.h usability... no checking minix/config.h presence... no checking for minix/config.h... no checking whether it is safe to define __EXTENSIONS__... yes checking whether char is unsigned... no checking for uname... /usr/bin/uname checking for g++... g++ checking whether we are using the GNU C++ compiler... yes checking whether g++ accepts -g... yes checking how to run the C preprocessor... gcc -E checking how to run the C++ preprocessor... g++ -E checking for a sed that does not truncate output... /usr/bin/sed checking for egrep... grep -E checking for ld used by gcc... /usr/bin/ld checking if the linker (/usr/bin/ld) is GNU ld... yes checking for gawk... no checking for mawk... mawk checking for a BSD-compatible install... /usr/bin/install -c checking whether ln -s works... yes checking for ranlib... ranlib checking for GNU make... make checking for egrep... (cached) /usr/bin/grep -E checking for strip... strip checking for ar... ar checking for bison... : checking for cmp... /usr/bin/cmp checking for cat... /usr/bin/cat checking for cut... /usr/bin/cut checking for flex... : checking for grep... (cached) /usr/bin/grep checking for python2.7... no checking for python2... no checking for python... no checking for python3... /usr/bin/python3 checking for find... /usr/bin/find checking for basename... /usr/bin/basename checking for dirname... /usr/bin/dirname checking for sh... /bin/bash checking for ln... /usr/bin/ln checking for doxygen... : checking for dot... : checking for wget... /usr/bin/wget checking for curl... /usr/bin/curl checking for xmllint... : checking for xmlstarlet... no checking for xml... no checking for bash... /bin/bash checking for git... /usr/bin/git checking for alembic... : checking for bzip2... /usr/bin/bzip2 checking for tar... /usr/bin/tar checking for patch... /usr/bin/patch checking for sed... (cached) /usr/bin/sed checking for nm... /usr/bin/nm checking for ldconfig... /sbin/ldconfig checking for sha1sum... /usr/bin/sha1sum checking for openssl... /usr/bin/openssl checking for bison that supports parse-param... checking for soxmix... no checking for md5... no checking for md5sum... md5sum checking for a sed that does not truncate output... (cached) /usr/bin/sed checking whether gcc is Clang... no checking whether pthreads work with -pthread... yes checking for joinable pthread attribute... PTHREAD_CREATE_JOINABLE checking whether more special flags are required for pthreads... no checking for PTHREAD_PRIO_INHERIT... yes checking for RAII support... checking for gcc -fnested-functions... no checking for clang strsep/strcmp optimization... no checking for embedded pjproject (may have to download)... configuring [pjproject] Verifying /tmp/pjproject-2.10.tar.bz2 [pjproject] Verify successful [pjproject] Unpacking /tmp/pjproject-2.10.tar.bz2 [pjproject] Applying patches /usr/src/asterisk-13.38.3/third-party/pjproject/patches /usr/src/asterisk-13.38.3/third-party/pjproject/source The text leading up to this was: -------------------------- |From e8000cc80e5f8ba02cc52852edc02cdb0e949525 Mon Sep 17 00:00:00 2001 |From: Richard Mudgett <rmudgett@digium.com> |Date: Mon, 6 Aug 2018 11:24:25 -0500 |Subject: [PATCH 1/5] 0000-configure-ssl-library-path.patch | |--- | aconfigure | 6 +++++- | aconfigure.ac | 6 +++++- | 2 files changed, 10 insertions(+), 2 deletions(-) | |diff --git a/aconfigure b/aconfigure |index 1c449b8..c4c6060 100755 |--- a/aconfigure |+++ b/aconfigure -------------------------- File to patch:
07-30
|index 1c449b8..c4c6060 100755 |--- a/aconfigure |+++ b/aconfigure ``` 这表示补丁是针对文件`aconfigure`的。但是，在解压后的pjproject源码目录中，可能没有这个文件，或者文件路径发生了变化。 ### 原因分析...
PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch PS E:\PyTorch_Build\pytorch> # 1. 激活虚拟环境 PS E:\PyTorch_Build\pytorch> .\pytorch_env\Scripts\activate (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 2. 修复conda路径（执行一次即可） (pytorch_env) PS E:\PyTorch_Build\pytorch> $condaPath = "${env:USERPROFILE}\miniconda3\Scripts" (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:PATH += ";$condaPath" (pytorch_env) PS E:\PyTorch_Build\pytorch> [Environment]::SetEnvironmentVariable("PATH", $env:PATH, "Machine") (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 3. 验证修复 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda --version # 应显示conda版本 conda: The term 'conda' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> # 1. 安装正确版本的MKL (pytorch_env) PS E:\PyTorch_Build\pytorch> pip uninstall -y mkl-static mkl-include Found existing installation: mkl-static 2024.1.0 Uninstalling mkl-static-2024.1.0: Successfully uninstalled mkl-static-2024.1.0 Found existing installation: mkl-include 2024.1.0 Uninstalling mkl-include-2024.1.0: Successfully uninstalled mkl-include-2024.1.0 (pytorch_env) PS E:\PyTorch_Build\pytorch> pip install mkl-static==2024.1 mkl-include==2024.1 Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting mkl-static==2024.1 Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d8/f0/3b9976df82906d8f3244213b6d8beb67cda19ab5b0645eb199da3c826127/mkl_static-2024.1.0-py2.py3-none-win_amd64.whl (220.8 MB) Collecting mkl-include==2024.1 Using cached https://pypi.tuna.tsinghua.edu.cn/packages/06/1b/f05201146f7f12bf871fa2c62096904317447846b5d23f3560a89b4bbaae/mkl_include-2024.1.0-py2.py3-none-win_amd64.whl (1.3 MB) Requirement already satisfied: intel-openmp==2024.* in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from mkl-static==2024.1) (2024.2.1) Requirement already satisfied: tbb-devel==2021.* in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from mkl-static==2024.1) (2021.13.1) Requirement already satisfied: intel-cmplr-lib-ur==2024.2.1 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from intel-openmp==2024.*->mkl-static==2024.1) (2024.2.1) Requirement already satisfied: tbb==2021.13.1 in e:\pytorch_build\pytorch\pytorch_env\lib\site-packages (from tbb-devel==2021.*->mkl-static==2024.1) (2021.13.1) Installing collected packages: mkl-include, mkl-static Successfully installed mkl-include-2024.1.0 mkl-static-2024.1.0 (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 2. 安装libuv (pytorch_env) PS E:\PyTorch_Build\pytorch> conda install -c conda-forge libuv=1.46 conda: The term 'conda' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 3. 安装OpenSSL (pytorch_env) PS E:\PyTorch_Build\pytorch> conda install -c conda-forge openssl=3.1 conda: The term 'conda' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 4. 验证安装 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import mkl; print('MKL版本:', 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> conda list | Select-String "libuv|openssl" conda: The term 'conda' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证所有关键组件 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import mkl; print('✓ MKL已安装')" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'mkl' (pytorch_env) PS E:\PyTorch_Build\pytorch> conda list | Select-String "libuv|openssl" conda: The term 'conda' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> dir "E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0\bin\cudnn*" (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证环境变量 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import os; print('环境变量检查:'); >> print('CUDNN_PATH:', os.getenv('CUDA_PATH')); >> print('CONDA_PREFIX:', os.getenv('CONDA_PREFIX'))" 环境变量检查: CUDNN_PATH: E:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.0 CONDA_PREFIX: None (pytorch_env) PS E:\PyTorch_Build\pytorch> # 清理并重建 (pytorch_env) PS E:\PyTorch_Build\pytorch> Remove-Item -Recurse -Force build (pytorch_env) PS E:\PyTorch_Build\pytorch> python setup.py install Building wheel torch-2.9.0a0+git2d31c3d -- Building version 2.9.0a0+git2d31c3d E:\PyTorch_Build\pytorch\pytorch_env\lib\site-packages\setuptools\_distutils\_msvccompiler.py:12: UserWarning: _get_vc_env is private; find an alternative (pypa/distutils#340) warnings.warn( -- Checkout nccl release tag: v2.27.5-1 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\pytorch_env\Lib\site-packages -DPython_EXECUTABLE=E:\PyTorch_Build\pytorch\pytorch_env\Scripts\python.exe -DTORCH_BUILD_VERSION=2.9.0a0+git2d31c3d -DUSE_NUMPY=True E:\PyTorch_Build\pytorch CMake Deprecation Warning at CMakeLists.txt:18 (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:425 (message): TensorPipe cannot be used on Windows. Set it to OFF CMake Warning at CMakeLists.txt:427 (message): KleidiAI cannot be used on Windows. Set it to OFF CMake Warning at CMakeLists.txt:439 (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:845 (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\pytorch_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:873 (include) -- Could NOT find CUDNN (missing: CUDNN_LIBRARY_PATH CUDNN_INCLUDE_PATH) CMake Warning at cmake/public/cuda.cmake:201 (message): Cannot find cuDNN library. Turning the option off Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:873 (include) -- 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:873 (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:873 (include) -- USE_CUFILE is set to 0. Compiling without cuFile support -- Autodetected CUDA architecture(s): 12.0 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:873 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_120,code=sm_120 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:873 (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:873 (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:873 (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:873 (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 pytorch_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 Duplicate microkernel definition: src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-avx256vnni.c and src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-avxvnni.c (1th function) Duplicate microkernel definition: src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-avxvnni.c and src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-scalar.c No microkernel found in src\reference\binary-elementwise.cc No microkernel found in src\reference\packing.cc No microkernel found in src\reference\unary-elementwise.cc -- Found Git: E:/Program Files/Git/cmd/git.exe (found version "2.51.0.windows.1") -- Google Benchmark version: v1.9.3, normalized to 1.9.3 -- Looking for shm_open in rt -- Looking for shm_open in rt - not found -- Performing Test HAVE_CXX_FLAG_WX -- Performing Test HAVE_CXX_FLAG_WX - Success -- Compiling and running to test HAVE_STD_REGEX -- Performing Test HAVE_STD_REGEX -- success -- Compiling and running to test HAVE_GNU_POSIX_REGEX -- Performing Test HAVE_GNU_POSIX_REGEX -- failed to compile -- Compiling and running to test HAVE_POSIX_REGEX -- Performing Test HAVE_POSIX_REGEX -- failed to compile -- Compiling and running to test HAVE_STEADY_CLOCK -- Performing Test HAVE_STEADY_CLOCK -- success -- Compiling and running to test HAVE_PTHREAD_AFFINITY -- Performing Test HAVE_PTHREAD_AFFINITY -- failed to compile CMake Deprecation Warning at third_party/ittapi/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. CMake Warning at cmake/Dependencies.cmake:749 (message): FP16 is only cmake-2.8 compatible Call Stack (most recent call first): CMakeLists.txt:873 (include) CMake Deprecation Warning at third_party/FP16/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/psimd/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. -- Using third party subdirectory Eigen. -- Found Python: E:\PyTorch_Build\pytorch\pytorch_env\Scripts\python.exe (found version "3.10.10") found components: Interpreter Development.Module missing components: NumPy CMake Warning at cmake/Dependencies.cmake:826 (message): NumPy could not be found. Not building with NumPy. Suppress this warning with -DUSE_NUMPY=OFF Call Stack (most recent call first): CMakeLists.txt:873 (include) -- Using third_party/pybind11. -- pybind11 include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/pybind11/include -- Could NOT find OpenTelemetryApi (missing: OpenTelemetryApi_INCLUDE_DIRS) -- Using third_party/opentelemetry-cpp. -- opentelemetry api include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/opentelemetry-cpp/api/include -- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS) -- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS) -- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND) CMake Warning at cmake/Dependencies.cmake:894 (message): Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF Call Stack (most recent call first): CMakeLists.txt:873 (include) -- MKL_THREADING = OMP -- Check OMP with lib C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental -- MKL_THREADING = OMP -- Check OMP with lib C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental -- Found OpenMP_C: -openmp:experimental -- Found OpenMP_CXX: -openmp:experimental -- Found OpenMP: TRUE -- Adding OpenMP CXX_FLAGS: -openmp:experimental -- Will link against OpenMP libraries: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib -- Found nvtx3: E:/PyTorch_Build/pytorch/third_party/NVTX/c/include -- ROCM_PATH environment variable is not set and C:/opt/rocm does not exist. Building without ROCm support. -- Found Python3: E:\PyTorch_Build\pytorch\pytorch_env\Scripts\python.exe (found version "3.10.10") found components: Interpreter -- ONNX_PROTOC_EXECUTABLE: $<TARGET_FILE:protobuf::protoc> -- Protobuf_VERSION: Protobuf_VERSION_NOTFOUND Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 4.1.0 -- CMake command : E:/PyTorch_Build/pytorch/pytorch_env/Lib/site-packages/cmake/data/bin/cmake.exe -- System : Windows -- C++ compiler : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- C++ compiler version : 19.44.35215.0 -- CXX flags : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL /EHsc /wd26812 -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : E:\PyTorch_Build\pytorch\pytorch_env\Lib\site-packages;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CMAKE_INSTALL_PREFIX : E:/PyTorch_Build/pytorch/torch -- CMAKE_MODULE_PATH : E:/PyTorch_Build/pytorch/cmake/Modules;E:/PyTorch_Build/pytorch/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.18.0 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_DISABLE_STATIC_REGISTRATION : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- BUILD_SHARED_LIBS : OFF -- -- Protobuf compiler : $<TARGET_FILE:protobuf::protoc> -- Protobuf includes : -- Protobuf libraries : -- ONNX_BUILD_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 - False -- MAGMA not found. Compiling without MAGMA support -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- 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 [] -- Cannot find a library with BLAS API. Not using BLAS. -- LAPACK requires BLAS -- Cannot find a library with LAPACK API. Not using LAPACK. disabling ROCM because NOT USE_ROCM is set -- MIOpen not found. Compiling without MIOpen support disabling MKLDNN because USE_MKLDNN is not set -- {fmt} version: 11.2.0 -- Build type: Release -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CUDA_INCLUDE_DIRS = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/include -- CUPTI_INCLUDE_DIR = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/extras/CUPTI/include -- CUDA_cupti_LIBRARY = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/extras/CUPTI/lib64/cupti.lib -- Found CUPTI CMake Deprecation Warning at third_party/kineto/libkineto/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. CMake Warning (dev) at third_party/kineto/libkineto/CMakeLists.txt:15 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonInterp: E:/PyTorch_Build/pytorch/pytorch_env/Scripts/python.exe (found version "3.10.10") -- ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt/include -- CUPTI_INCLUDE_DIR = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/extras/CUPTI/include -- ROCTRACER_INCLUDE_DIR = /include/roctracer -- DYNOLOG_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog/ -- IPCFABRIC_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- Configured Kineto -- Performing Test HAS/WD4624 -- Performing Test HAS/WD4624 - Success -- Performing Test HAS/WD4068 -- Performing Test HAS/WD4068 - Success -- Performing Test HAS/WD4067 -- Performing Test HAS/WD4067 - Success -- Performing Test HAS/WD4267 -- Performing Test HAS/WD4267 - Success -- Performing Test HAS/WD4661 -- Performing Test HAS/WD4661 - Success -- Performing Test HAS/WD4717 -- Performing Test HAS/WD4717 - Success -- Performing Test HAS/WD4244 -- Performing Test HAS/WD4244 - Success -- Performing Test HAS/WD4804 -- Performing Test HAS/WD4804 - Success -- Performing Test HAS/WD4273 -- Performing Test HAS/WD4273 - Success -- Performing Test HAS_WNO_STRINGOP_OVERFLOW -- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Failed -- -- Architecture: x64 -- Use the C++ compiler to compile (MI_USE_CXX=ON) -- -- Library name : mimalloc -- Version : 2.2.4 -- Build type : release -- C++ Compiler : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- Compiler flags : /Zc:__cplusplus -- Compiler defines : MI_CMAKE_BUILD_TYPE=release;MI_BUILD_RELEASE -- Link libraries : psapi;shell32;user32;advapi32;bcrypt -- Build targets : static -- CMake Error at CMakeLists.txt:1264 (add_subdirectory): The source directory E:/PyTorch_Build/pytorch/torch/headeronly does not contain a CMakeLists.txt file. -- don't use NUMA -- Looking for backtrace -- Looking for backtrace - not found -- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR) -- Autodetected CUDA architecture(s): 12.0 -- Autodetected CUDA architecture(s): 12.0 -- Autodetected CUDA architecture(s): 12.0 -- headers outputs: torch\csrc\inductor\aoti_torch\generated\c_shim_cpu.h not found torch\csrc\inductor\aoti_torch\generated\c_shim_aten.h not found torch\csrc\inductor\aoti_torch\generated\c_shim_cuda.h not found -- sources outputs: -- declarations_yaml outputs: -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Failed -- Using ATen parallel backend: OMP -- Could NOT find OpenSSL, try to set the path to OpenSSL root folder in the system variable OPENSSL_ROOT_DIR (missing: OPENSSL_CRYPTO_LIBRARY OPENSSL_INCLUDE_DIR) -- Check size of long double -- Check size of long double - done -- Performing Test COMPILER_SUPPORTS_FLOAT128 -- Performing Test COMPILER_SUPPORTS_FLOAT128 - Failed -- Performing Test COMPILER_SUPPORTS_SSE2 -- Performing Test COMPILER_SUPPORTS_SSE2 - Success -- Performing Test COMPILER_SUPPORTS_SSE4 -- Performing Test COMPILER_SUPPORTS_SSE4 - Success -- Performing Test COMPILER_SUPPORTS_AVX -- Performing Test COMPILER_SUPPORTS_AVX - Success -- Performing Test COMPILER_SUPPORTS_FMA4 -- Performing Test COMPILER_SUPPORTS_FMA4 - Success -- Performing Test COMPILER_SUPPORTS_AVX2 -- Performing Test COMPILER_SUPPORTS_AVX2 - Success -- Performing Test COMPILER_SUPPORTS_AVX512F -- Performing Test COMPILER_SUPPORTS_AVX512F - Success -- Found OpenMP_C: -openmp:experimental (found version "2.0") -- Found OpenMP_CXX: -openmp:experimental (found version "2.0") -- Found OpenMP_CUDA: -openmp (found version "2.0") -- Found OpenMP: TRUE (found version "2.0") -- Performing Test COMPILER_SUPPORTS_OPENMP -- Performing Test COMPILER_SUPPORTS_OPENMP - Success -- Performing Test COMPILER_SUPPORTS_OMP_SIMD -- Performing Test COMPILER_SUPPORTS_OMP_SIMD - Failed -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Failed -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Failed -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM - Failed -- Configuring build for SLEEF-v3.8.0 Target system: Windows-10.0.26100 Target processor: AMD64 Host system: Windows-10.0.26100 Host processor: AMD64 Detected C compiler: MSVC @ C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe CMake: 4.1.0 Make program: E:/PyTorch_Build/pytorch/pytorch_env/Scripts/ninja.exe -- Using option `/D_CRT_SECURE_NO_WARNINGS /D_CRT_NONSTDC_NO_DEPRECATE ` to compile libsleef -- Building shared libs : OFF -- Building static test bins: OFF -- MPFR : LIB_MPFR-NOTFOUND -- GMP : LIBGMP-NOTFOUND -- RT : -- FFTW3 : LIBFFTW3-NOTFOUND -- OPENSSL : -- SDE : SDE_COMMAND-NOTFOUND -- COMPILER_SUPPORTS_OPENMP : FALSE AT_INSTALL_INCLUDE_DIR include/ATen/core core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/aten_interned_strings.h core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/enum_tag.h core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/TensorBody.h CMake Error: File E:/PyTorch_Build/pytorch/torch/_utils_internal.py does not exist. CMake Error at caffe2/CMakeLists.txt:241 (configure_file): configure_file Problem configuring file CMake Error: File E:/PyTorch_Build/pytorch/torch/csrc/api/include/torch/version.h.in does not exist. CMake Error at caffe2/CMakeLists.txt:246 (configure_file): configure_file Problem configuring file -- NVSHMEM not found, not building with NVSHMEM support. CMake Error at caffe2/CMakeLists.txt:1398 (add_subdirectory): The source directory E:/PyTorch_Build/pytorch/torch does not contain a CMakeLists.txt file. CMake Warning at CMakeLists.txt:1285 (message): Generated cmake files are only fully tested if one builds with system glog, gflags, and protobuf. Other settings may generate files that are not well tested. -- -- ******** Summary ******** -- General: -- CMake version : 4.1.0 -- CMake command : E:/PyTorch_Build/pytorch/pytorch_env/Lib/site-packages/cmake/data/bin/cmake.exe -- System : Windows -- C++ compiler : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- C++ compiler id : MSVC -- C++ compiler version : 19.44.35215.0 -- Using ccache if found : OFF -- CXX flags : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273 -- Shared LD flags : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 -- Static LD flags : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 -- Module LD flags : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;_CRT_SECURE_NO_DEPRECATE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;EXPORT_AOTI_FUNCTIONS;WIN32_LEAN_AND_MEAN;_UCRT_LEGACY_INFINITY;NOMINMAX;USE_MIMALLOC -- CMAKE_PREFIX_PATH : E:\PyTorch_Build\pytorch\pytorch_env\Lib\site-packages;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CMAKE_INSTALL_PREFIX : E:/PyTorch_Build/pytorch/torch -- USE_GOLD_LINKER : OFF -- -- TORCH_VERSION : 2.9.0 -- BUILD_STATIC_RUNTIME_BENCHMARK: OFF -- BUILD_BINARY : OFF -- BUILD_CUSTOM_PROTOBUF : ON -- Link local protobuf : ON -- BUILD_PYTHON : True -- Python version : 3.10.10 -- Python executable : E:\PyTorch_Build\pytorch\pytorch_env\Scripts\python.exe -- Python library : E:/Python310/libs/python310.lib -- Python includes : E:/Python310/Include -- Python site-package : E:\PyTorch_Build\pytorch\pytorch_env\Lib\site-packages -- BUILD_SHARED_LIBS : ON -- CAFFE2_USE_MSVC_STATIC_RUNTIME : OFF -- BUILD_TEST : True -- BUILD_JNI : OFF -- BUILD_MOBILE_AUTOGRAD : OFF -- BUILD_LITE_INTERPRETER: OFF -- INTERN_BUILD_MOBILE : -- TRACING_BASED : OFF -- USE_BLAS : 0 -- USE_LAPACK : 0 -- USE_ASAN : OFF -- USE_TSAN : OFF -- USE_CPP_CODE_COVERAGE : OFF -- USE_CUDA : ON -- CUDA static link : OFF -- USE_CUDNN : OFF -- USE_CUSPARSELT : OFF -- USE_CUDSS : OFF -- USE_CUFILE : OFF -- CUDA version : 13.0 -- USE_FLASH_ATTENTION : OFF -- USE_MEM_EFF_ATTENTION : ON -- CUDA root directory : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CUDA library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cuda.lib -- cudart library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cudart.lib -- cublas library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cublas.lib -- cufft library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cufft.lib -- curand library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/curand.lib -- cusparse library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cusparse.lib -- nvrtc : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/nvrtc.lib -- CUDA include path : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/include -- NVCC executable : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe -- CUDA compiler : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe -- CUDA flags : -DLIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS -Xcompiler /Zc:__cplusplus -Xcompiler /w -w -Xcompiler /FS -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch --use-local-env -gencode arch=compute_120,code=sm_120 -Xcudafe --diag_suppress=cc_clobber_ignored,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=bad_friend_decl --Werror cross-execution-space-call --no-host-device-move-forward --expt-relaxed-constexpr --expt-extended-lambda -Xcompiler=/wd4819,/wd4503,/wd4190,/wd4244,/wd4251,/wd4275,/wd4522 -Wno-deprecated-gpu-targets --expt-extended-lambda -DCUB_WRAPPED_NAMESPACE=at_cuda_detail -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -- CUDA host compiler : -- CUDA --device-c : OFF -- USE_TENSORRT : -- USE_XPU : OFF -- USE_ROCM : OFF -- BUILD_NVFUSER : -- USE_EIGEN_FOR_BLAS : ON -- USE_EIGEN_FOR_SPARSE : OFF -- USE_FBGEMM : OFF -- USE_KINETO : ON -- USE_GFLAGS : OFF -- USE_GLOG : OFF -- USE_LITE_PROTO : OFF -- USE_PYTORCH_METAL : OFF -- USE_PYTORCH_METAL_EXPORT : OFF -- USE_MPS : OFF -- CAN_COMPILE_METAL : -- USE_MKL : OFF -- USE_MKLDNN : OFF -- USE_UCC : OFF -- USE_ITT : ON -- USE_XCCL : OFF -- USE_NCCL : OFF -- Found NVSHMEM : -- USE_NNPACK : OFF -- USE_NUMPY : OFF -- USE_OBSERVERS : ON -- USE_OPENCL : OFF -- USE_OPENMP : ON -- USE_MIMALLOC : ON -- USE_MIMALLOC_ON_MKL : OFF -- USE_VULKAN : OFF -- USE_PROF : OFF -- USE_PYTORCH_QNNPACK : OFF -- USE_XNNPACK : ON -- USE_DISTRIBUTED : OFF -- Public Dependencies : -- Private Dependencies : Threads::Threads;pthreadpool;cpuinfo;XNNPACK;microkernels-prod;ittnotify;fp16;caffe2::openmp;fmt::fmt-header-only;kineto -- Public CUDA Deps. : -- Private CUDA Deps. : caffe2::curand;caffe2::cufft;caffe2::cublas;fmt::fmt-header-only;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cudart_static.lib;CUDA::cusparse;CUDA::cufft;CUDA::cusolver;ATEN_CUDA_FILES_GEN_LIB -- USE_COREML_DELEGATE : OFF -- BUILD_LAZY_TS_BACKEND : ON -- USE_ROCM_KERNEL_ASSERT : OFF -- Performing Test HAS_WMISSING_PROTOTYPES -- Performing Test HAS_WMISSING_PROTOTYPES - Failed -- Performing Test HAS_WERROR_MISSING_PROTOTYPES -- Performing Test HAS_WERROR_MISSING_PROTOTYPES - Failed -- Configuring incomplete, errors occurred! (pytorch_env) PS E:\PyTorch_Build\pytorch> # 永久修复conda命令不可用问题 (pytorch_env) PS E:\PyTorch_Build\pytorch> $condaPaths = @( >> "$env:USERPROFILE\miniconda3\Scripts", >> "$env:USERPROFILE\anaconda3\Scripts", >> "C:\ProgramData\miniconda3\Scripts" >> ) (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> foreach ($path in $condaPaths) { >> if (Test-Path $path) { >> $env:PATH = "$path;$env:PATH" >> [Environment]::SetEnvironmentVariable("PATH", $env:PATH, "Machine") >> break >> } >> } (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证修复 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda --version conda: The term 'conda' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> # 设置 cuDNN v9.12 路径 (pytorch_env) PS E:\PyTorch_Build\pytorch> $cudnnPath = "E:\Program Files\NVIDIA\CUNND\v9.12" (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 添加到环境变量 (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_ROOT_DIR = $cudnnPath (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_INCLUDE_DIR = "$cudnnPath\include" (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_LIBRARY = "$cudnnPath\lib\x64\cudnn.lib" (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 永久生效 (pytorch_env) PS E:\PyTorch_Build\pytorch> [Environment]::SetEnvironmentVariable("CUDNN_ROOT_DIR", $cudnnPath, "Machine") (pytorch_env) PS E:\PyTorch_Build\pytorch> [Environment]::SetEnvironmentVariable("CUDNN_INCLUDE_DIR", "$cudnnPath\include", "Machine") (pytorch_env) PS E:\PyTorch_Build\pytorch> [Environment]::SetEnvironmentVariable("CUDNN_LIBRARY", "$cudnnPath\lib\x64\cudnn.lib", "Machine") (pytorch_env) PS E:\PyTorch_Build\pytorch> # 原始代码大约在 190 行左右 (pytorch_env) PS E:\PyTorch_Build\pytorch> # 替换为以下内容强制使用 v9.12： (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> set(CUDNN_VERSION "9.12.0") # 手动指定版本 CUDNN_VERSION: The term 'CUDNN_VERSION' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> set(CUDNN_FOUND TRUE) CUDNN_FOUND: The term 'CUDNN_FOUND' 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. (pytorch_env) PS E:\PyTorch_Build\pytorch> set(CUDNN_INCLUDE_DIR $ENV{CUDNN_INCLUDE_DIR}) InvalidOperation: The variable '$ENV' cannot be retrieved because it has not been set. (pytorch_env) PS E:\PyTorch_Build\pytorch> set(CUDNN_LIBRARY $ENV{CUDNN_LIBRARY}) InvalidOperation: The variable '$ENV' cannot be retrieved because it has not been set. (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> message(STATUS "Using manually configured cuDNN v${CUDNN_VERSION}") InvalidOperation: The variable '$CUDNN_VERSION' cannot be retrieved because it has not been set. (pytorch_env) PS E:\PyTorch_Build\pytorch> message(STATUS " Include path: ${CUDNN_INCLUDE_DIR}") InvalidOperation: The variable '$CUDNN_INCLUDE_DIR' cannot be retrieved because it has not been set. (pytorch_env) PS E:\PyTorch_Build\pytorch> message(STATUS " Library path: ${CUDNN_LIBRARY}") InvalidOperation: The variable '$CUDNN_LIBRARY' cannot be retrieved because it has not been set. (pytorch_env) PS E:\PyTorch_Build\pytorch> # 精确查找 conda.bat (pytorch_env) PS E:\PyTorch_Build\pytorch> $condaPath = Get-ChildItem -Path C:\ -Recurse -Filter conda.bat -ErrorAction SilentlyContinue | >> Select-Object -First 1 | >> ForEach-Object { $_.DirectoryName } (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> if ($condaPath) { >> $env:PATH = "$condaPath;$env:PATH" >> [Environment]::SetEnvironmentVariable("PATH", $env:PATH, "Machine") >> Write-Host "Conda found at: $condaPath" -ForegroundColor Green >> } else { >> Write-Host "Conda not found! Installing miniconda..." -ForegroundColor Yellow >> # 自动安装 miniconda >> Invoke-WebRequest -Uri "https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe" -OutFile "$env:TEMP\miniconda.exe" >> Start-Process -FilePath "$env:TEMP\miniconda.exe" -ArgumentList "/S", "/AddToPath=1", "/InstallationType=AllUsers", "/D=C:\Miniconda3" -Wait >> $env:PATH = "C:\Miniconda3\Scripts;$env:PATH" >> } Conda not found! Installing miniconda... /AddToPath=1 is disabled and ignored in 'All Users' installations Welcome to Miniconda3 py313_25.7.0-2 By continuing this installation you are accepting this license agreement: C:\Miniconda3\EULA.txt Please run the installer in GUI mode to read the details. Miniconda3 will now be installed into this location: C:\Miniconda3 Unpacking payload... Setting up the package cache... Setting up the base environment... Installing packages for base, creating shortcuts if necessary... Initializing conda directories... Setting installation directory permissions... Done! (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch>
09-02
mkl-include=2024.1 # 验证MKL安装 python -c "import mkl; print(f'MKL version: {mkl.__version__}')" ``` #### 4. 设置环境变量（PowerShell） ```powershell:环境变量设置 $cudnnPath = "E:\Program Files\...
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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