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Thanks for reporting the issue. Here as per the code seems like you are using tensorflow older version(tf2.12.0).
It would be nice if you can use keras3.5.0 and tensorflow2.17.0 latest version with GPU using tf.distribute.MirroredStrategy() scope and CPU using keras.device('/device:CPU:0'):. These output from CPU and GPU will give minimum difference.
Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
No
Source
binary
TensorFlow version
tf 2.12.0
Custom code
Yes
OS platform and distribution
Ubuntu 20.04
Mobile device
No response
Python version
3.10
Bazel version
No response
GCC/compiler version
No response
CUDA/cuDNN version
No response
GPU model and memory
No response
Current behavior?
Input: [[25.05214, 6.4932823, 5.5203633, 12.618748, 27.186777, 3.7995481]]
CPU output: [[7.5858780e+10 6.6068842e+02 2.4972575e+02 3.0217081e+05 6.4130895e+11
4.4680992e+01]]
GPU output: [[7.5858780e+10 6.6068842e+02 2.4972574e+02 3.0217081e+05 6.4130888e+11
4.4680988e+01]]
Max distance: 65536.0
Standalone code to reproduce the issue
Relevant log output
No response
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