在安装deepspeech环境期间，tensorflow依赖项不断地在colab中给我错误

Question

当我在GoogleColab上运行以下命令时

!pip3 install --upgrade pip==20.0.2 wheel==0.34.2 setuptools==46.1.3
!pip3 install --upgrade --force-reinstall -e .

出错了

    ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow-probability 0.12.1 requires gast>=0.3.2, but you have gast 0.2.2 which is incompatible.
networkx 2.5.1 requires decorator<5,>=4.3, but you have decorator 5.0.9 which is incompatible.
moviepy 0.2.3.5 requires decorator<5.0,>=4.0.2, but you have decorator 5.0.9 which is incompatible.
google-colab 1.0.0 requires pandas~=1.1.0; python_version >= "3.0", but you have pandas 1.2.4 which is incompatible.
google-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.25.1 which is incompatible.
google-colab 1.0.0 requires six~=1.15.0, but you have six 1.16.0 which is incompatible.
Successfully installed Mako-1.1.4 MarkupSafe-2.0.1 PrettyTable-2.1.0 PyYAML-5.4.1 absl-py-0.12.0 alembic-1.6.4 appdirs-1.4.4 astor-0.8.1 attrdict-2.0.1 attrs-21.2.0 audioread-2.1.9 beautifulsoup4-4.9.3 bs4-0.0.1 cached-property-1.5.2 certifi-2020.12.5 cffi-1.14.5 chardet-4.0.0 cliff-3.7.0 cmaes-0.8.2 cmd2-1.5.0 colorama-0.4.4 colorlog-5.0.1 decorator-5.0.9 deepspeech-training-0.9.3 ds-ctcdecoder-0.9.3 gast-0.2.2 google-pasta-0.2.0 greenlet-1.1.0 grpcio-1.38.0 h5py-3.2.1 idna-2.10 importlib-metadata-4.0.1 joblib-1.0.1 keras-applications-1.0.8 keras-preprocessing-1.1.2 librosa-0.8.0 llvmlite-0.31.0 markdown-3.3.4 numba-0.47.0 numpy-1.18.5 opt-einsum-3.3.0 optuna-2.7.0 opuslib-2.0.0 packaging-20.9 pandas-1.2.4 pbr-5.6.0 pooch-1.3.0 progressbar2-3.53.1 protobuf-3.17.1 pycparser-2.20 pyparsing-2.4.7 pyperclip-1.8.2 python-dateutil-2.8.1 python-editor-1.0.4 python-utils-2.5.6 pytz-2021.1 pyxdg-0.27 requests-2.25.1 resampy-0.2.2 scikit-learn-0.24.2 scipy-1.6.3 semver-2.13.0 setuptools-57.0.0 six-1.16.0 soundfile-0.10.3.post1 soupsieve-2.2.1 sox-1.4.1 sqlalchemy-1.4.15 stevedore-3.3.0 tensorboard-1.15.0 tensorflow-1.15.4 tensorflow-estimator-1.15.1 termcolor-1.1.0 threadpoolctl-2.1.0 tqdm-4.61.0 typing-extensions-3.10.0.0 urllib3-1.26.4 wcwidth-0.2.5 werkzeug-2.0.1 wheel-0.36.2 wrapt-1.12.1 zipp-3.4.1
WARNING: Running pip as root will break packages and permissions. You should install packages reliably by using venv: https://pip.pypa.io/warnings/venv
WARNING: The following packages were previously imported in this runtime:
  [astor,cffi,colorama,dateutil,decorator,google,numpy,pandas,pkg_resources,pyparsing,pytz,six,wcwidth]
You must restart the runtime in order to use newly installed versions.

当我将gast版本0.2.2更新到0.3.2时，它表示需要gast版本0.2.2，当我从gast版本0.3.2降级到0.2.2时，它表示需要gast版本0.2.2（反之亦然）

Answer 1

首先，不要忘记在运行当前单元格后重新启动运行时。i、 e

!pip3 install folium==0.2.1
!pip3 install  upgrade pip==20.0.2 wheel==0.34.2 setuptools==46.1.3
!pip3 install  upgrade  force-reinstall -e .

# Restart Colab after this cell

我也犯了同样的错误。但这不会影响培训，因为我们将在后面的步骤中重新安装tensorflow-gpu==1.15.2（Deepspeech的依赖项）（请先设置GPU配置，然后卸载并重新安装tensorflow）

### Setting-up GPU for training

#### Checking if we have nvidia or not

!nvcc  version
!nvidia-smi

#### Setting up environment variables for cuda

! echo $PATH

import os
os.environ['PATH'] += ":/usr/local/cuda-10.0/bin"
os.environ['CUDADIR'] = "/usr/local/cuda-10.0"
os.environ['LD_LIBRARY_PATH'] = "/usr/lib64-nvidia:/usr/local/cuda-10.0/lib64"

!echo $PATH
!echo $LD_LIBRARY_PATH
!source ~/.bashrc

!env | grep -i cuda

####  Adding freeglut and other OPENGL packaged for deepspeech requirement satisfaction

%cd /content/
!wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
!sudo apt-get install freeglut3 freeglut3-dev libxi-dev libxmu-dev
!sudo apt-get install build-essential dkms
!sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
!sudo apt-key adv  fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub

!sudo apt-get update
!sudo apt-get install cuda-10-0

!sudo rm /usr/local/cuda
!sudo ln -s /usr/local/cuda-10.0 /usr/local/cuda
%ls -l /usr/local/

**# Finally uninstalling and reinstalling tensorflow**
!pip3 uninstall tensorflow
!pip3 install 'tensorflow-gpu==1.15.2'

在安装完所有依赖项后，还可以使用以下代码段来修复损坏的依赖项

!sudo apt-get -o Dpkg::Options::=" force-overwrite" install  fix-broken