Anaconda version `GFORTRAN_1.4' not found

本文记录了解决在使用Anaconda环境下Python 2.7版本中导入matplotlib库时出现的错误过程。通过卸载并重新安装特定的库来修复了与libgfortran.so.3版本不匹配导致的问题。

错误信息:

[root@biostacs /]# ipython
Python 2.7.11 |Anaconda 4.0.0 (64-bit)| (default, Dec  6 2015, 18:08:32)
Type "copyright", "credits" or "license" for more information.

IPython 5.0.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import matplotlib
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-82be63b7783c> in <module>()
----> 1 import matplotlib

/root/anaconda2/lib/python2.7/site-packages/matplotlib/__init__.py in <module>()
    120 # cbook must import matplotlib only within function
    121 # definitions, so it is safe to import from it here.
--> 122 from matplotlib.cbook import is_string_like, mplDeprecation, dedent, get_label
    123 from matplotlib.compat import subprocess
    124 from matplotlib.rcsetup import (defaultParams,

/root/anaconda2/lib/python2.7/site-packages/matplotlib/cbook.py in <module>()
     31 from weakref import ref, WeakKeyDictionary
     32
---> 33 import numpy as np
     34 import numpy.ma as ma
     35

/usr/lib/python2.7/site-packages/numpy/__init__.py in <module>()
    178         return loader(*packages, **options)
    179
--> 180     from . import add_newdocs
    181     __all__ = ['add_newdocs',
    182                'ModuleDeprecationWarning',

/usr/lib/python2.7/site-packages/numpy/add_newdocs.py in <module>()
     11 from __future__ import division, absolute_import, print_function
     12
---> 13 from numpy.lib import add_newdoc
     14
     15 ###############################################################################

/usr/lib/python2.7/site-packages/numpy/lib/__init__.py in <module>()
      6 from numpy.version import version as __version__
      7
----> 8 from .type_check import *
      9 from .index_tricks import *
     10 from .function_base import *

/usr/lib/python2.7/site-packages/numpy/lib/type_check.py in <module>()
      9            'common_type']
     10
---> 11 import numpy.core.numeric as _nx
     12 from numpy.core.numeric import asarray, asanyarray, array, isnan, \
     13                 obj2sctype, zeros

/usr/lib/python2.7/site-packages/numpy/core/__init__.py in <module>()
     12         os.environ[envkey] = '1'
     13         env_added.append(envkey)
---> 14 from . import multiarray
     15 for envkey in env_added:
     16     del os.environ[envkey]

ImportError: /root/anaconda2/bin/../lib/libgfortran.so.3: version `GFORTRAN_1.4' not found (required by /usr/lib64/atlas/libtatlas.so.3)

卸载libgfortran

[root@biostacs /]# conda remove libgfortran
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ....
Solving package specifications: .........

Package plan for package removal in environment /root/anaconda2:

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    anaconda-custom            |           py27_0           3 KB
    scipy-0.17.0               |      np110py27_0        29.6 MB
    ------------------------------------------------------------
                                           Total:        29.6 MB

The following packages will be REMOVED:

    libgfortran: 3.0-0

The following packages will be DOWNGRADED:

    anaconda:    4.0.0-np110py27_0  --> custom-py27_0
    scipy:       0.17.0-np110py27_2 --> 0.17.0-np110py27_0

Proceed ([y]/n)? y

Fetching packages ...
anaconda-custo 100% |######################################################################| Time: 0:00:00   1.97 MB/s
scipy-0.17.0-n 100% |######################################################################| Time: 0:00:21   1.43 MB/s
Extracting packages ...
[      COMPLETE      ]|#########################################################################################| 100%
Unlinking packages ...
[      COMPLETE      ]|#########################################################################################| 100%
Linking packages ...
[      COMPLETE      ]|#########################################################################################| 100%

安装libgcc –force

[root@biostacs /]# conda install libgcc --force
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ....
Solving package specifications: .........

Package plan for installation in environment /root/anaconda2:

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    libgcc-5.2.0               |                0         1.1 MB

The following NEW packages will be INSTALLED:

    libgcc: 5.2.0-0

Proceed ([y]/n)? y

Fetching packages ...
libgcc-5.2.0-0 100% |######################################################################| Time: 0:00:05 222.99 kB/s
[      COMPLETE      ]|#########################################################################################| 100%
Extracting packages ...
[      COMPLETE      ]|#########################################################################################| 100%
Linking packages ...
[      COMPLETE      ]|#########################################################################################| 100%
[root@biostacs /]# ipython
Python 2.7.11 |Anaconda custom (64-bit)| (default, Dec  6 2015, 18:08:32)
Type "copyright", "credits" or "license" for more information.

IPython 5.0.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import matplotlib

In [2]:
Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a1/d6/8422797e35f8814b1d9842530566a949d9b5850a466321a6c1d5a99055ee/opencv-python-4.3.0.38.tar.gz (88.0 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.0/88.0 MB 11.0 MB/s 0:00:08 Installing build dependencies ... error error: subprocess-exited-with-error × pip subprocess to install build dependencies did not run successfully. │ exit code: 1 ╰─> [361 lines of output] Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Ignoring numpy: markers 'python_version == "3.5"' don't match your environment Ignoring numpy: markers 'python_version == "3.6"' don't match your environment Ignoring numpy: markers 'python_version == "3.7"' don't match your environment Collecting setuptools Downloading https://pypi.tuna.tsinghua.edu.cn/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl (1.2 MB) ---------------------------------------- 1.2/1.2 MB 1.7 MB/s 0:00:00 Collecting wheel Downloading https://pypi.tuna.tsinghua.edu.cn/packages/0b/2c/87f3254fd8ffd29e4c02732eee68a83a1d3c346ae39bc6822dcbcb697f2b/wheel-0.45.1-py3-none-any.whl (72 kB) Collecting scikit-build Downloading https://pypi.tuna.tsinghua.edu.cn/packages/c3/a3/21b519f58de90d684056c52ec4e45f744cfda7483f082dcc4dd18cc74a93/scikit_build-0.18.1-py3-none-any.whl (85 kB) Collecting cmake Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b0/98/768e4b298a5a53cd305f7aadae2cc825f00ec70a3b1b98d822c7feacb50b/cmake-4.1.0-py3-none-win32.whl (34.3 MB) ---------------------------------------- 34.3/34.3 MB 12.4 MB/s 0:00:02 Collecting pip Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl (1.8 MB) ---------------------------------------- 1.8/1.8 MB 11.9 MB/s 0:00:00 Collecting numpy==1.17.3 Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b6/d6/be8f975f5322336f62371c9abeb936d592c98c047ad63035f1b38ae08efe/numpy-1.17.3.zip (6.4 MB) ---------------------------------------- 6.4/6.4 MB 13.0 MB/s 0:00:00 Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Collecting distro (from scikit-build) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/12/b3/231ffd4ab1fc9d679809f356cebee130ac7daa00d6d6f3206dd4fd137e9e/distro-1.9.0-py3-none-any.whl (20 kB) Collecting packaging (from scikit-build) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/20/12/38679034af332785aac8774540895e234f4d07f7545804097de4b666afd8/packaging-25.0-py3-none-any.whl (66 kB) Collecting tomli (from scikit-build) Downloading https://pypi.tuna.tsinghua.edu.cn/packages/6e/c2/61d3e0f47e2b74ef40a68b9e6ad5984f6241a942f7cd3bbfbdbd03861ea9/tomli-2.2.1-py3-none-any.whl (14 kB) Building wheels for collected packages: numpy DEPRECATION: Building 'numpy' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'numpy'. Discussion can be found at https://github.com/pypa/pip/issues/6334 Building wheel for numpy (setup.py): started Building wheel for numpy (setup.py): finished with status 'error' error: subprocess-exited-with-error python setup.py bdist_wheel did not run successfully. exit code: 1 [292 lines of output] Running from numpy source directory. blas_opt_info: blas_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE blis_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries blis not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE openblas_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries openblas not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']' customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Could not locate executable ifort Could not locate executable ifl customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64TFCompiler Could not locate executable efort Could not locate executable efc customize PGroupFlangCompiler Could not locate executable flang don't know how to compile Fortran code on platform 'nt' NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries tatlas not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE atlas_3_10_blas_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries satlas not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries ptf77blas,ptcblas,atlas not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE atlas_blas_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries f77blas,cblas,atlas not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE accelerate_info: NOT AVAILABLE C:\Users\Administrator\AppData\Local\Temp\pip-install-hgll2ytb\numpy_4b57488625214bf0a91e82d3a36ac7de\numpy\distutils\system_info.py:690: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. self.calc_info() blas_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries blas not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE C:\Users\Administrator\AppData\Local\Temp\pip-install-hgll2ytb\numpy_4b57488625214bf0a91e82d3a36ac7de\numpy\distutils\system_info.py:690: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. self.calc_info() blas_src_info: NOT AVAILABLE C:\Users\Administrator\AppData\Local\Temp\pip-install-hgll2ytb\numpy_4b57488625214bf0a91e82d3a36ac7de\numpy\distutils\system_info.py:690: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. self.calc_info() NOT AVAILABLE 'svnversion' 不是内部或外部命令,也不是可运行的程序 或批处理文件。 non-existing path in 'numpy\\distutils': 'site.cfg' lapack_opt_info: lapack_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE openblas_lapack_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries openblas not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE openblas_clapack_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries openblas,lapack not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE flame_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries flame not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE atlas_3_10_threads_info: Setting PTATLAS=ATLAS No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries tatlas,tatlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries tatlas,tatlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries tatlas,tatlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\Library\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries tatlas,tatlas not found in E:\Anaconda3\Library\lib <class 'numpy.distutils.system_info.atlas_3_10_threads_info'> NOT AVAILABLE atlas_3_10_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries satlas,satlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries satlas,satlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries satlas,satlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\Library\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries satlas,satlas not found in E:\Anaconda3\Library\lib <class 'numpy.distutils.system_info.atlas_3_10_info'> NOT AVAILABLE atlas_threads_info: Setting PTATLAS=ATLAS No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries ptf77blas,ptcblas,atlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries ptf77blas,ptcblas,atlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries ptf77blas,ptcblas,atlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\Library\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries ptf77blas,ptcblas,atlas not found in E:\Anaconda3\Library\lib <class 'numpy.distutils.system_info.atlas_threads_info'> NOT AVAILABLE atlas_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries f77blas,cblas,atlas not found in E:\Anaconda3\envs\yanzhan\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries f77blas,cblas,atlas not found in C:\ No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries f77blas,cblas,atlas not found in E:\Anaconda3\envs\yanzhan\libs No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack_atlas not found in E:\Anaconda3\Library\lib No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries f77blas,cblas,atlas not found in E:\Anaconda3\Library\lib <class 'numpy.distutils.system_info.atlas_info'> NOT AVAILABLE lapack_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries lapack not found in ['E:\\Anaconda3\\envs\\yanzhan\\lib', 'C:\\', 'E:\\Anaconda3\\envs\\yanzhan\\libs', 'E:\\Anaconda3\\Library\\lib'] NOT AVAILABLE C:\Users\Administrator\AppData\Local\Temp\pip-install-hgll2ytb\numpy_4b57488625214bf0a91e82d3a36ac7de\numpy\distutils\system_info.py:1712: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. if getattr(self, '_calc_info_{}'.format(lapack))(): lapack_src_info: NOT AVAILABLE C:\Users\Administrator\AppData\Local\Temp\pip-install-hgll2ytb\numpy_4b57488625214bf0a91e82d3a36ac7de\numpy\distutils\system_info.py:1712: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. if getattr(self, '_calc_info_{}'.format(lapack))(): NOT AVAILABLE E:\Anaconda3\envs\yanzhan\lib\site-packages\setuptools\_distutils\dist.py:275: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running bdist_wheel running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building py_modules sources creating build creating build\src.win32-3.9 creating build\src.win32-3.9\numpy creating build\src.win32-3.9\numpy\distutils building library "npymath" sources No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/ [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for numpy Running setup.py clean for numpy error: subprocess-exited-with-error python setup.py clean did not run successfully. exit code: 1 [10 lines of output] Running from numpy source directory. `setup.py clean` is not supported, use one of the following instead: - `git clean -xdf` (cleans all files) - `git clean -Xdf` (cleans all versioned files, doesn't touch files that aren't checked into the git repo) Add `--force` to your command to use it anyway if you must (unsupported). [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed cleaning build dir for numpy Failed to build numpy error: failed-wheel-build-for-install Failed to build installable wheels for some pyproject.toml based projects numpy [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: subprocess-exited-with-error × pip subprocess to install build dependencies did not run successfully. │ exit code: 1 ╰─> See above for output. note: This error originates from a subprocess, and is likely not a problem with pip. 又报错了
最新发布
09-14
(pytorch_env) PS E:\PyTorch_Build\pytorch> # 查找实际安装位置 (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 { >> # 如果找不到,使用新安装的Miniconda >> $env:PATH = "C:\Miniconda3\Scripts;$env:PATH" >> } Conda found at: C:\Miniconda3\condabin (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda --version conda 25.7.0 (pytorch_env) PS E:\PyTorch_Build\pytorch> # 使用conda安装必要组件 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda install -c conda-forge -y ` >> libuv=1.46 ` >> openssl=3.1 ` >> numpy ` >> mkl=2024.1 ` >> mkl-include=2024.1 CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before proceeding: - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To accept these channels' Terms of Service, run the following commands: conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/msys2 For information on safely removing channels from your conda configuration, please see the official documentation: https://www.anaconda.com/docs/tools/working-with-conda/channels (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证MKL安装 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import mkl; print(f'MKL version: {mkl.__version__}')" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'mkl' (pytorch_env) PS E:\PyTorch_Build\pytorch> # 使用conda安装必要组件 (pytorch_env) PS E:\PyTorch_Build\pytorch> conda install -c conda-forge -y ` >> libuv=1.46 ` >> openssl=3.1 ` >> numpy ` >> mkl=2024.1 ` >> mkl-include=2024.1 CondaToSNonInteractiveError: Terms of Service have not been accepted for the following channels. Please accept or remove them before proceeding: - https://repo.anaconda.com/pkgs/main - https://repo.anaconda.com/pkgs/r - https://repo.anaconda.com/pkgs/msys2 To accept these channels' Terms of Service, run the following commands: conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/msys2 For information on safely removing channels from your conda configuration, please see the official documentation: https://www.anaconda.com/docs/tools/working-with-conda/channels (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证MKL安装 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import mkl; print(f'MKL version: {mkl.__version__}')" Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'mkl' (pytorch_env) PS E:\PyTorch_Build\pytorch> # 清理构建缓存 (pytorch_env) PS E:\PyTorch_Build\pytorch> Remove-Item -Recurse -Force build, dist Remove-Item: Cannot find path 'E:\PyTorch_Build\pytorch\dist' because it does not exist. (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 设置构建参数 (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:USE_CUDNN = "1" (pytorch_env) PS E:\PyTorch_Build\pytorch> $env:MAX_JOBS = [Environment]::ProcessorCount (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 开始构建(添加详细日志) (pytorch_env) PS E:\PyTorch_Build\pytorch> python setup.py install --cmake 2>&1 | Tee-Object -FilePath build_log.txt 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( 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 -DCUDNN_INCLUDE_DIR=E:\Program Files\NVIDIA\CUNND\v9.12\include -DCUDNN_LIBRARY=E:\Program Files\NVIDIA\CUNND\v9.12\lib\x64\cudnn.lib -DPython_EXECUTABLE=E:\PyTorch_Build\pytorch\pytorch_env\Scripts\python.exe -DTORCH_BUILD_VERSION=2.9.0a0+git2d31c3d -DUSE_CUDNN=1 -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/CUNND/v9.12;E:\Program Files\NVIDIA\CUNND\v9.12;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. -- MIOpen not found. Compiling without MIOpen support disabling ROCM because NOT USE_ROCM is set 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/CUNND/v9.12;E:\Program Files\NVIDIA\CUNND\v9.12;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! -- Checkout nccl release tag: v2.27.5-1 (pytorch_env) PS E:\PyTorch_Build\pytorch> (pytorch_env) PS E:\PyTorch_Build\pytorch> # 验证构建 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import torch; print(f'cuDNN version: {torch.backends.cudnn.version()}')" Traceback (most recent call last): File "<string>", line 1, in <module> AttributeError: module 'torch' has no attribute 'backends' (pytorch_env) PS E:\PyTorch_Build\pytorch> # 检查核心组件 (pytorch_env) PS E:\PyTorch_Build\pytorch> python -c "import torch; >> print(f'PyTorch: {torch.__version__}'); >> print(f'CUDA available: {torch.cuda.is_available()}'); >> print(f'cuDNN: {torch.backends.cudnn.version()}'); >> print(f'MKL: {torch.__config__.mkl_is_available()}'); >> print(f'Libuv: {torch.distributed.is_available()}')" Traceback (most recent call last): File "<string>", line 2, in <module> AttributeError: module 'torch' has no attribute '__version__' (pytorch_env) PS E:\PyTorch_Build\pytorch>
09-02
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值