https://github.com/tensorflow/models/tree/master/official/...
I get the following when creating a new Anaconda environment.
tensorflow 2.3.0 requires numpy<1.19.0,>=1.16.0, but you'll have numpy 1.19.1 which is incompatible. > tensorflow 2.3.0 requires scipy==1.4.1, but you'll have scipy 1.5.2 which is incompatible. > tensorflow-metadata 0.23.0 requires absl-py<0.9,>=0.7, but you'll have absl-py 0.10.0 which is incompatible.
All I did before that was
conda create -n det python=3.6
pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org tf-models-official
See above
An installation with no dependency failure.
Include any logs that would be helpful to diagnose the problem.
@nicolas-gervais
pip will automatically install/upgrade requirements, but it won't downgrade.You can manually install any version of a package.
Please, downgrade numpy to 1.18.5 and see if the issue still persists.
pip3 uninstall numpy
pip3 install numpy==1.18.5
Thanks!
We are waiting for TF team to confirm the support of numpy 1.19.x
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you.
Closing as stale. Please reopen if you'd like to work on this further.
Waiting for upgrade to 1.19.1 at least
Проблема с установкой TenserFlow
pip3 uninstall numpy
pip3 install numpy==1.18.5
Добрый день. Пытаюсь решить проблему установки Tenserflow. Написано, что нужно понизить версию до 1.18.5
При запуске вышеуказанного года, выдается ошибка:
File "
pip3 uninstall numpy
^
SyntaxError: invalid syntax
Проблема с установкой TenserFlow
pip3 uninstall numpy
pip3 install numpy==1.18.5Добрый день. Пытаюсь решить проблему установки Tenserflow. Написано, что нужно понизить версию до 1.18.5
При запуске вышеуказанного года, выдается ошибка:File "", line 1
pip3 uninstall numpy
^
SyntaxError: invalid syntax
Попробуй
pip uninstall numpy
или
!pip uninstall numpy
Most helpful comment
@nicolas-gervais
pip will automatically install/upgrade requirements, but it won't downgrade.You can manually install any version of a package.
Please, downgrade numpy to 1.18.5 and see if the issue still persists.
Thanks!