Comments (1)
ThomasBas
commented on August 22, 2024
14
I found a workaround by replacing 'train' with 'estimator' (tf.estimator.SessionRunHook) in the training_time.py file.
It will also raise a similar error for 'tf.train.CheckpointSaverListener' in training_time.py - line:174 and for 'tf.train.NanLossDuringTrainingError' in evaluate.py - line:30. Again replacing 'train' with 'estimator' should fix this for now.
Finally, in api.py replacing 'tf.python_io.tf_record_iterator' with 'tf.compat.v1.io.tf_record_iterator' should allow you to run example.py. Hope this helps!
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