Anaconda 无法使用conda安装依赖项

我正在尝试为tensor flow开发安装依赖项。为此，我使用了一个yml文件

tfdl\u env.yml

。使用了

conda env create

，因此应该安装所有依赖项

 conda env create -f tfdl_env.yml

但是那里显示了

解决环境：失败的
和
需要的packagenotfound
。
下面是使用的
yml
文件

name: tfdeeplearning
channels:
- defaults
dependencies:
- bleach=1.5.0=py35_0
- certifi=2016.2.28=py35_0
- colorama=0.3.9=py35_0
- cycler=0.10.0=py35_0
- decorator=4.1.2=py35_0
- entrypoints=0.2.3=py35_0
- html5lib=0.9999999=py35_0
- icu=57.1=vc14_0
- ipykernel=4.6.1=py35_0
- ipython=6.1.0=py35_0
- ipython_genutils=0.2.0=py35_0
- ipywidgets=6.0.0=py35_0
- jedi=0.10.2=py35_2
- jinja2=2.9.6=py35_0
- jpeg=9b=vc14_0
- jsonschema=2.6.0=py35_0
- jupyter=1.0.0=py35_3
- jupyter_client=5.1.0=py35_0
- jupyter_console=5.2.0=py35_0
- jupyter_core=4.3.0=py35_0
- libpng=1.6.30=vc14_1
- markupsafe=1.0=py35_0
- matplotlib=2.0.2=np113py35_0
- mistune=0.7.4=py35_0
- mkl=2017.0.3=0
- nbconvert=5.2.1=py35_0
- nbformat=4.4.0=py35_0
- notebook=5.0.0=py35_0
- numpy=1.13.1=py35_0
- openssl=1.0.2l=vc14_0
- pandas=0.20.3=py35_0
- pandocfilters=1.4.2=py35_0
- path.py=10.3.1=py35_0
- pickleshare=0.7.4=py35_0
- pip=9.0.1=py35_1
- prompt_toolkit=1.0.15=py35_0
- pygments=2.2.0=py35_0
- pyparsing=2.2.0=py35_0
- pyqt=5.6.0=py35_2
- python=3.5.4=0
- python-dateutil=2.6.1=py35_0
- pytz=2017.2=py35_0
- pyzmq=16.0.2=py35_0
- qt=5.6.2=vc14_6
- qtconsole=4.3.1=py35_0
- requests=2.14.2=py35_0
- scikit-learn=0.19.0=np113py35_0
- scipy=0.19.1=np113py35_0
- setuptools=36.4.0=py35_1
- simplegeneric=0.8.1=py35_1
- sip=4.18=py35_0
- six=1.10.0=py35_1
- testpath=0.3.1=py35_0
- tk=8.5.18=vc14_0
- tornado=4.5.2=py35_0
- traitlets=4.3.2=py35_0
- vs2015_runtime=14.0.25420=0
- wcwidth=0.1.7=py35_0
- wheel=0.29.0=py35_0
- widgetsnbextension=3.0.2=py35_0
- win_unicode_console=0.5=py35_0
- wincertstore=0.2=py35_0
- zlib=1.2.11=vc14_0
- pip:
    - ipython-genutils==0.2.0
    - jupyter-client==5.1.0
    - jupyter-console==5.2.0
    - jupyter-core==4.3.0
    - markdown==2.6.9
    - prompt-toolkit==1.0.15
    - protobuf==3.4.0
    - tensorflow==1.3.0
    - tensorflow-tensorboard==0.1.6
    - werkzeug==0.12.2
    - win-unicode-console==0.5
prefix: C:\Users\varun\Anaconda3\envs\tfdeeplearning

我使用的是
anaconda3
和
conda
版本是
4.7.12
。我在Windows10机器上。此操作的目的是安装tensorflow及其所有依赖项。
对我来说也是同样的错误。同样在Windows 10中，还有Anaconda 3（2019.10）和Python 3.7（均为64位）。以下是我的输出：

Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound:
  - notebook==5.0.0=py35_0
  - python-dateutil==2.6.1=py35_0
  - wcwidth==0.1.7=py35_0
  - testpath==0.3.1=py35_0
  - libpng==1.6.30=vc14_1
  - nbformat==4.4.0=py35_0
  - tornado==4.5.2=py35_0
  - numpy==1.13.1=py35_0
  - setuptools==36.4.0=py35_1
  - zlib==1.2.11=vc14_0
  - html5lib==0.9999999=py35_0
  - wheel==0.29.0=py35_0
  - ipython==6.1.0=py35_0
  - simplegeneric==0.8.1=py35_1
  - ipykernel==4.6.1=py35_0
  - colorama==0.3.9=py35_0
  - jpeg==9b=vc14_0
  - certifi==2016.2.28=py35_0
  - scikit-learn==0.19.0=np113py35_0
  - pip==9.0.1=py35_1
  - ipython_genutils==0.2.0=py35_0
  - jedi==0.10.2=py35_2
  - tk==8.5.18=vc14_0
  - mkl==2017.0.3=0
  - icu==57.1=vc14_0
  - pandas==0.20.3=py35_0
  - qtconsole==4.3.1=py35_0
  - widgetsnbextension==3.0.2=py35_0
  - pickleshare==0.7.4=py35_0
  - jupyter_console==5.2.0=py35_0
  - bleach==1.5.0=py35_0
  - jupyter_client==5.1.0=py35_0
  - ipywidgets==6.0.0=py35_0
  - openssl==1.0.2l=vc14_0
  - pandocfilters==1.4.2=py35_0
  - qt==5.6.2=vc14_6
  - win_unicode_console==0.5=py35_0
  - pytz==2017.2=py35_0
  - pyzmq==16.0.2=py35_0
  - pyqt==5.6.0=py35_2
  - decorator==4.1.2=py35_0
  - path.py==10.3.1=py35_0
  - jupyter==1.0.0=py35_3
  - jsonschema==2.6.0=py35_0
  - markupsafe==1.0=py35_0
  - requests==2.14.2=py35_0
  - jupyter_core==4.3.0=py35_0
  - entrypoints==0.2.3=py35_0
  - six==1.10.0=py35_1
  - cycler==0.10.0=py35_0
  - mistune==0.7.4=py35_0
  - scipy==0.19.1=np113py35_0
  - traitlets==4.3.2=py35_0
  - vs2015_runtime==14.0.25420=0
  - wincertstore==0.2=py35_0
  - matplotlib==2.0.2=np113py35_0
  - nbconvert==5.2.1=py35_0
  - python==3.5.4=0
  - jinja2==2.9.6=py35_0
  - pygments==2.2.0=py35_0
  - prompt_toolkit==1.0.15=py35_0
  - pyparsing==2.2.0=py35_0
  - sip==4.18=py35_0

在多次尝试从提供的
tfdl_env.yml
文件安装失败后，我停止了安装，并用
conda install
自行安装了所需的软件包。然后，我还发现所提供文件中的某些指定软件包版本不是真正最新的，
conda
无法找到此类版本。事实上，我对Anaconda环境系统非常失望，因为它似乎只是一个“环境克隆工具”，适用于创建环境的用户的机器，但它们绝对不是可移植的，正如人们所期望的那样

不过，也许现在我已经在我的Windows10中实现了，你也可以试试。这是一个我自己从安装中创建的
environment.yml
文件，据我所知，它完全可以工作（我已经在学习本课程的第5部分）：

只需将内容复制到方框中的
environment.yml
文件中，然后执行
conda env create-f environment.yml

另外，检查最后一行
前缀，在那里您必须修改路径以匹配您的路径（可能只是替换
前缀
）。正如我前面所说的，这个Conda环境工具似乎不适合创建可移植的环境来分发到不同的机器

祝你好运。
错误消息是否给出了找不到的包的示例？
name: tfdeeplearning
channels:
  - defaults
dependencies:
  - _tflow_select=2.2.0=eigen
  - absl-py=0.9.0=py37_0
  - asn1crypto=1.3.0=py37_0
  - astor=0.8.0=py37_0
  - attrs=19.3.0=py_0
  - backcall=0.1.0=py37_0
  - blas=1.0=mkl
  - bleach=3.1.0=py37_0
  - blinker=1.4=py37_0
  - ca-certificates=2020.1.1=0
  - cachetools=3.1.1=py_0
  - certifi=2019.11.28=py37_0
  - cffi=1.14.0=py37h7a1dbc1_0
  - chardet=3.0.4=py37_1003
  - click=7.0=py37_0
  - colorama=0.4.3=py_0
  - cryptography=2.8=py37h7a1dbc1_0
  - cycler=0.10.0=py37_0
  - decorator=4.4.1=py_0
  - defusedxml=0.6.0=py_0
  - entrypoints=0.3=py37_0
  - freetype=2.9.1=ha9979f8_1
  - gast=0.2.2=py37_0
  - google-auth=1.11.2=py_0
  - google-auth-oauthlib=0.4.1=py_2
  - google-pasta=0.1.8=py_0
  - grpcio=1.27.2=py37h351948d_0
  - h5py=2.10.0=py37h5e291fa_0
  - hdf5=1.10.4=h7ebc959_0
  - icc_rt=2019.0.0=h0cc432a_1
  - icu=58.2=ha66f8fd_1
  - idna=2.8=py37_0
  - importlib_metadata=1.5.0=py37_0
  - intel-openmp=2020.0=166
  - ipykernel=5.1.4=py37h39e3cac_0
  - ipython=7.12.0=py37h5ca1d4c_0
  - ipython_genutils=0.2.0=py37_0
  - ipywidgets=7.5.1=py_0
  - jedi=0.16.0=py37_0
  - jinja2=2.11.1=py_0
  - joblib=0.14.1=py_0
  - jpeg=9b=hb83a4c4_2
  - jsonschema=3.2.0=py37_0
  - jupyter=1.0.0=py37_7
  - jupyter_client=5.3.4=py37_0
  - jupyter_console=6.1.0=py_0
  - jupyter_core=4.6.1=py37_0
  - keras-applications=1.0.8=py_0
  - keras-preprocessing=1.1.0=py_1
  - kiwisolver=1.1.0=py37ha925a31_0
  - libpng=1.6.37=h2a8f88b_0
  - libprotobuf=3.11.4=h7bd577a_0
  - libsodium=1.0.16=h9d3ae62_0
  - m2w64-gcc-libgfortran=5.3.0=6
  - m2w64-gcc-libs=5.3.0=7
  - m2w64-gcc-libs-core=5.3.0=7
  - m2w64-gmp=6.1.0=2
  - m2w64-libwinpthread-git=5.0.0.4634.697f757=2
  - markdown=3.1.1=py37_0
  - markupsafe=1.1.1=py37he774522_0
  - matplotlib=3.1.3=py37_0
  - matplotlib-base=3.1.3=py37h64f37c6_0
  - mistune=0.8.4=py37he774522_0
  - mkl=2020.0=166
  - mkl-service=2.3.0=py37hb782905_0
  - mkl_fft=1.0.15=py37h14836fe_0
  - mkl_random=1.1.0=py37h675688f_0
  - msys2-conda-epoch=20160418=1
  - nbconvert=5.6.1=py37_0
  - nbformat=5.0.4=py_0
  - notebook=6.0.3=py37_0
  - numpy=1.18.1=py37h93ca92e_0
  - numpy-base=1.18.1=py37hc3f5095_1
  - oauthlib=3.1.0=py_0
  - openssl=1.1.1d=he774522_4
  - opt_einsum=3.1.0=py_0
  - pandas=1.0.1=py37h47e9c7a_0
  - pandoc=2.2.3.2=0
  - pandocfilters=1.4.2=py37_1
  - parso=0.6.1=py_0
  - pip=20.0.2=py37_1
  - prometheus_client=0.7.1=py_0
  - prompt_toolkit=3.0.3=py_0
  - protobuf=3.11.4=py37h33f27b4_0
  - pyasn1=0.4.8=py_0
  - pyasn1-modules=0.2.7=py_0
  - pycparser=2.19=py37_0
  - pygments=2.5.2=py_0
  - pyjwt=1.7.1=py37_0
  - pyopenssl=19.1.0=py37_0
  - pyparsing=2.4.6=py_0
  - pyqt=5.9.2=py37h6538335_2
  - pyreadline=2.1=py37_1
  - pyrsistent=0.15.7=py37he774522_0
  - pysocks=1.7.1=py37_0
  - python=3.7.6=h60c2a47_2
  - python-dateutil=2.8.1=py_0
  - pytz=2019.3=py_0
  - pywinpty=0.5.7=py37_0
  - pyzmq=18.1.1=py37ha925a31_0
  - qt=5.9.7=vc14h73c81de_0
  - qtconsole=4.6.0=py_1
  - requests=2.22.0=py37_1
  - requests-oauthlib=1.3.0=py_0
  - rsa=4.0=py_0
  - scikit-learn=0.22.1=py37h6288b17_0
  - scipy=1.4.1=py37h9439919_0
  - send2trash=1.5.0=py37_0
  - setuptools=45.2.0=py37_0
  - sip=4.19.8=py37h6538335_0
  - six=1.14.0=py37_0
  - sqlite=3.31.1=he774522_0
  - tensorboard=2.1.0=py3_0
  - tensorflow=1.15.0=eigen_py37h9f89a44_0
  - tensorflow-base=1.15.0=eigen_py37h07d2309_0
  - tensorflow-estimator=1.15.1=pyh2649769_0
  - termcolor=1.1.0=py37_1
  - terminado=0.8.3=py37_0
  - testpath=0.4.4=py_0
  - tornado=6.0.3=py37he774522_3
  - traitlets=4.3.3=py37_0
  - urllib3=1.25.8=py37_0
  - vc=14.1=h0510ff6_4
  - vs2015_runtime=14.16.27012=hf0eaf9b_1
  - wcwidth=0.1.8=py_0
  - webencodings=0.5.1=py37_1
  - werkzeug=0.16.1=py_0
  - wheel=0.34.2=py37_0
  - widgetsnbextension=3.5.1=py37_0
  - win_inet_pton=1.1.0=py37_0
  - wincertstore=0.2=py37_0
  - winpty=0.4.3=4
  - wrapt=1.11.2=py37he774522_0
  - zeromq=4.3.1=h33f27b4_3
  - zipp=2.2.0=py_0
  - zlib=1.2.11=h62dcd97_3
  - pip:
    - ipython-genutils==0.2.0
    - jupyter-client==6.0.0
    - jupyter-core==4.6.3
    - pickleshare==0.7.5
    - pywin32==227
prefix: C:\Users\jose_\Anaconda3\envs\tfdeeplearning