zoukankan      html  css  js  c++  java
  • theano安装问题

    WARNING (theano.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`
    D:Anaconda3libsite-packages	heanoconfigdefaults.py:560: UserWarning: DeprecationWarning: there is no c++ compiler.This is deprecated and with Theano 0.11 a c++ compiler will be mandatory
      warnings.warn("DeprecationWarning: there is no c++ compiler."
    WARNING (theano.configdefaults): g++ not detected ! Theano will be unable to execute optimized C-implementations (for both CPU and GPU) and will default to Python implementations. Performance will be severely degraded. To remove this warning, set Theano flags cxx to an empty string.
    WARNING (theano.tensor.blas): Using NumPy C-API based implementation for BLAS functions.

    按照正常的顺序安装完(http://www.deeplearning.net/software/theano/install.html),提示警告,如上。

    于是,conda install m2w64-toolchain。

    爆出一堆错误

    于是,conda install libpython (https://blog.csdn.net/weixin_40849273/article/details/85266465)

    更是一堆错误

    Traceback (most recent call last):
      File "D:Anaconda3libconfigparser.py", line 1135, in _unify_values
        sectiondict = self._sections[section]
    KeyError: 'blas'
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "D:Anaconda3libsite-packages	heanoconfigparser.py", line 168, in fetch_val_for_key
        return theano_cfg.get(section, option)
      File "D:Anaconda3libconfigparser.py", line 778, in get
        d = self._unify_values(section, vars)
      File "D:Anaconda3libconfigparser.py", line 1138, in _unify_values
        raise NoSectionError(section)
    configparser.NoSectionError: No section: 'blas'
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "D:Anaconda3libsite-packages	heanoconfigparser.py", line 328, in __get__
        delete_key=delete_key)
      File "D:Anaconda3libsite-packages	heanoconfigparser.py", line 172, in fetch_val_for_key
        raise KeyError(key)
    KeyError: 'blas.ldflags'
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
      File "D:Anaconda3libsite-packages	heano\__init__.py", line 124, in <module>
        from theano.scan_module import (scan, map, reduce, foldl, foldr, clone,
      File "D:Anaconda3libsite-packages	heanoscan_module\__init__.py", line 41, in <module>
        from theano.scan_module import scan_opt
      File "D:Anaconda3libsite-packages	heanoscan_modulescan_opt.py", line 60, in <module>
        from theano import tensor, scalar
      File "D:Anaconda3libsite-packages	heano	ensor\__init__.py", line 17, in <module>
        from theano.tensor import blas
      File "D:Anaconda3libsite-packages	heano	ensorlas.py", line 155, in <module>
        from theano.tensor.blas_headers import blas_header_text
      File "D:Anaconda3libsite-packages	heano	ensorlas_headers.py", line 987, in <module>
        if not config.blas.ldflags:
      File "D:Anaconda3libsite-packages	heanoconfigparser.py", line 332, in __get__
        val_str = self.default()
      File "D:Anaconda3libsite-packages	heanoconfigdefaults.py", line 1422, in default_blas_ldflags
        check_mkl_openmp()
      File "D:Anaconda3libsite-packages	heanoconfigdefaults.py", line 1262, in check_mkl_openmp
        """)
    RuntimeError:
    To use MKL 2018 with Theano either update the numpy conda packages to
    their latest build or set "MKL_THREADING_LAYER=GNU" in your
    environment.

    于是,新建环境变量MKL_THREADING_LAYER=GNU

    似乎不管用

    于是,conda update numpy

    solved。

    可以使用theano,但是当我尝试使用theano.scan时,

    Process finished with exit code -1073741819 (0xC0000005)

    墙内墙外多番查找,最终发现此贴可用!(https://blog.csdn.net/wangguan9527/article/details/82845409)

    solved。

  • 相关阅读:
    《最小割模型在信息学竞赛中的应用》最大权闭合图
    《最小割模型在信息学竞赛中的应用》最优标号
    《最小割模型在信息学竞赛中的应用》网络战争
    P3254 圆桌问题
    P2766 最长不下降子序列问题
    P2754 星际转移问题
    洛谷P2756 飞行员配对方案问题
    状态压缩dp 炮兵阵地
    状态压缩—玉米田
    CCF 202006-2 稀疏向量
  • 原文地址:https://www.cnblogs.com/peony-jing/p/10487837.html
Copyright © 2011-2022 走看看