h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems '{0}.{1}.{2}'.format(version.hdf5_built_version_tuple) Warning! HDF5 library version mismatched error*

pip uninstall h5py # incase you installed this using pip
                   # conda would install it again when installing tensorflow
conda install -c conda-forge hdf5=1.10.5

Add Own solution

Are there any code examples left?

Find Add Code snippet

New code examples in category Other

Other 2023-03-27 22:50:10 how to select the whole line in vscode with keyboard shortcut
Other 2022-03-27 22:45:24 income of a web developer
Other 2022-03-27 22:35:01 \pyrcc_main.py: File does not exist 'resources.qrc'
Other 2022-03-27 22:30:45 rick roll embed code
Other 2022-03-27 22:20:08 Circuit_04_Potentiometer
Other 2022-03-27 22:20:05 iterative power
Other 2022-03-27 22:15:11 flutter run all
Other 2022-03-27 22:10:05 when is karlson release
Other 2022-03-27 22:10:02 wp .htaccess example
Other 2022-03-27 22:00:08 bash pause in file read line by line

Create a Free Account

Unlock the power of data and AI by diving into Python, ChatGPT, SQL, Power BI, and beyond.

Develop soft skills on BrainApps

Complete the IQ Test

Relative searches

tensorflow import The HDF5 header files used to compile this application do not match h5py is running against hdf5 1.10.5 when it was built against 1.10.4 this may cause problems Warning! ***HDF5 library version mismatched error*** import keras Headers are 1.10.4, library is 1.10.5 h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple) Warning! ***HDF5 library version mismatched error***

h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple) Warning! ***HDF5 library version mismatched error***

Welcome Back!

Create a Free Account

h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems '{0}.{1}.{2}'.format(version.hdf5_built_version_tuple) Warning! HDF5 library version mismatched error*