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TF 2.3Issues related to TF 2.3Issues related to TF 2.3TF 2.4for issues related to TF 2.4for issues related to TF 2.4comp:gpuGPU related issuesGPU related issuescomp:kerasKeras related issuesKeras related issuestype:bugBugBug
Description
After downloading an EfficientNet model from tensorflow.keras.applications.efficientnet, and retraining it on our own data, I've noticed that the results are not reproducible. The results are reproducible for other architectures like VGG16, ResNet101, InceptionV3, and InceptionResNetV2, but not for any of the EfficientNetBx models.
Please note that I've set all the following seeds, and even have tensorflow-determinism:
random.seed(1)
np.random.seed(1)
tf.random.set_seed(1)
os.environ['TF_CUDNN_DETERMINISTIC'] = TRUE
os.environ['TF_DETERMINISTIC_OPS'] = TRUE
TensorFlow Version: tensorflow-gpu==2.3
nasirml and saqibnsnasirml
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TF 2.3Issues related to TF 2.3Issues related to TF 2.3TF 2.4for issues related to TF 2.4for issues related to TF 2.4comp:gpuGPU related issuesGPU related issuescomp:kerasKeras related issuesKeras related issuestype:bugBugBug