How To Pip Install Old Version Of Library(tensorflow)?
Solution 1:
This works for me on Mac OS 10.13.1.
pip install --user install tensorflow==1.3.0.
Solution 2:
You can install the pip wheel from a URL directly, for example:
# Ubuntu/Linux 64-bit, CPU only, Python 2.7
export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.11.0-cp27-none-linux_x86_64.whl
pip install --ignore-installed --upgrade $TF_BINARY_URL
In general, installation instructions for older versions of TensorFlow can be found at :
For binaries for installation using wheels:
Go to tensorflow pypi release history, select the release of your choice, say tensorflow 1.8.0
, go to Download files and either download the wheel file and then install or copy the download link and save in TF_BINARY_URL
for your python --version
and os [mac, linux or windows] install as shown above
Solution 3:
If you want to install tensorflow r0.11, it means that you want to install the sources from a certain branch (r0.11). Therefore, you should follow the official installation instructions from tensorflow: https://www.tensorflow.org/install/install_sources:
In case you want to install a "normal" release. then you can easily use the following command:
pip install --upgrade tensorflow==1.3.0.
Solution 4:
This worked for me:
pip3 install 'tensorflow==1.2.0' --force-reinstall
Solution 5:
The other answers are useful, but the question remains: why doesn't pip have the older version? Because older TensorFlow versions were not built for the Python version you are running. So pip can't find them.
If you want pip to find them, use a python version which TensorFlow was built for. For example, TensorFlow 1.14.0 was built for Python3.7, as can be seen here.
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