Closed nikeshdevkota closed 2 months ago
Could you please provide some sample reproducible code. Thanks
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Hi, I am trying to run RetinaNet on a custom dataset. To generate the dataset, I am using tf.data.Dataset.from_generator().
During model training, I run into INVALID_ARGUMENT: required broadcastable shapes while calculating classification loss and I can't seem to find any solution on the internet. I would appreciate it if I could get directions on how to solve this problem. I have uploaded the full error shown during model training below.
I had made some changes in the code and the deviations from the original code are as follows:
@srihari-humbarwadi