ravinderkhatri

Below is the code that I used. Please let me know in case you need further information ``` try: tpu = tf.distribute.cluster_resolver.TPUClusterResolver.connect() strategy = tf.distribute.TPUStrategy(tpu) except ValueError: strategy = tf.distribute.MirroredStrategy()...

@chunduriv Sharing all the required files to replicate the above issue. Below is the link to label_map.pbtxt file https://drive.google.com/file/d/1Qqk3jtJLwA-h3G3sgjMMtvr5JWmPJGcC/view?usp=sharing Link to tfrecord training file https://drive.google.com/file/d/1WSuFYHiYKN5AXlRmtMfNhQ_gmfsnK-BE/view?usp=sharing Link to tfrecord testing file...

@gowthamkpr Thank you for suggesting the workaround. Actually, I have created this SO and used that workaround. Below is the link to the colab notebook if you can to replicate...

I am facing the same issue, however, using tfa.losses.SigmoidFocalCrossEntropy(reduction=tf.keras.losses.Reduction.AUTO) worked like a charm. > https://github.com/tensorflow/models/blob/master/official/vision/keras_cv/losses/focal_loss.py#L37 This link is not working. Can you please share the updated link?

@rchao Done. I have added tf.debugging.disable_traceback_filtering() at the beginning of the program

@sgornic The solution there is suggestion to used [] to initialize an empty list instead of using None to remove the error but doing that cause an unwanted/undesirable behavior in...