Different prediction of Tensorflow in Python and C-API with SavedModel
The Problem was, that the dataset was normalized in python as type float64
and in C as type float32.
Same type with same normalization gives the same result.
Thanks @GPhilo for your comment. It was the right direction!
I trained and tested a model in python with Keras and save it in SavedModel format.
Then I imported it with the C-API and TF_LoadSessionFromSavedModel().
I predict the same set of data in python and C but get different results.
The predictions in python are ok, the predictions in C are not ok, but also not fully nonsense.
Things I have checked:

Tensorflow Version 2.5 in Python and C
use of the same model
use of the same data with same format
load the SavedModel in Python again
try different arcitectures
train without keras in low-level tensorflow

Every time python results are good, C results are different and worse.
Is there something wrong with the SavedModel Format regarding Python and C?
Ore any other tipps to solve this problem?