在安装 deepspeech 环境期间，tensorflow 依赖项不断给我在 colab 中的错误
tensorflow dependencies continuously gives me errors in colab during installation of deepspeech environment
当我 运行 在 Google Colab 上执行以下命令时
!pip3 install --upgrade pip==20.0.2 wheel==0.34.2 setuptools==46.1.3
!pip3 install --upgrade --force-reinstall -e .
遇到错误
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，它说它再次需要 gast 版本 0.2.2，当我从 gast 版本 0.3.2 降级到 0.2.2 时，它说它需要 gast 版本 0.2。 2 再次（反之亦然）
首先不要忘记在 运行 当前单元格之后重新启动运行时。即
!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
我遇到了同样的错误。但它不影响训练，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）（请先设置您的 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'
安装完所有依赖项后，还可以使用以下代码片段来修复损坏的依赖项
!sudo apt-get -o Dpkg::Options::="--force-overwrite" install --fix-broken
当我 运行 在 Google Colab 上执行以下命令时
!pip3 install --upgrade pip==20.0.2 wheel==0.34.2 setuptools==46.1.3
!pip3 install --upgrade --force-reinstall -e .
遇到错误
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，它说它再次需要 gast 版本 0.2.2，当我从 gast 版本 0.3.2 降级到 0.2.2 时，它说它需要 gast 版本 0.2。 2 再次（反之亦然）
首先不要忘记在 运行 当前单元格之后重新启动运行时。即
!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
我遇到了同样的错误。但它不影响训练，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）（请先设置您的 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'
安装完所有依赖项后，还可以使用以下代码片段来修复损坏的依赖项
!sudo apt-get -o Dpkg::Options::="--force-overwrite" install --fix-broken