You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Have you reproduced the bug with TensorFlow Nightly?
Yes
Source
binary
TensorFlow version
tf 2.14.0
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
12.2
GPU model and memory
No response
Current behavior?
The difference in the output values of the entire neural network for forward propagation exceeds 0.05 when trained with CPU and GPU respectively. But the outputs are consistent before adding the line fc3_output = tf.keras.layers.Dense(units=10, use_bias=True, name="linear3_mutated") ( relu4_output).
@PhyllisJi,
I tried to execute the mentioned code. Kindly find the gist of it here. In the given code snippet you have defined the class and its methods but are not calling them anywhere. Also try to execute the code with the keras3.0 which is default for the TensorFlow 2.16 and let us know if you are facing the same issue. Thank you!
@PhyllisJi, I tried to execute the mentioned code. Kindly find the gist of it here. In the given code snippet you have defined the class and its methods but are not calling them anywhere. Also try to execute the code with the keras3.0 which is default for the TensorFlow 2.16 and let us know if you are facing the same issue. Thank you!
Issue type
Bug
Have you reproduced the bug with TensorFlow Nightly?
Yes
Source
binary
TensorFlow version
tf 2.14.0
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
12.2
GPU model and memory
No response
Current behavior?
The difference in the output values of the entire neural network for forward propagation exceeds 0.05 when trained with CPU and GPU respectively. But the outputs are consistent before adding the line fc3_output = tf.keras.layers.Dense(units=10, use_bias=True, name="linear3_mutated") ( relu4_output).
Standalone code to reproduce the issue
Relevant log output
No response
The text was updated successfully, but these errors were encountered: