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Hello,I found some performance issues. The first one is in the definition of dataset ,tensorflow_dl_models/official/mnist/dataset.py, tf.data.FixedLengthRecordDataset(images_file, 28 * 28, header_bytes=16).map was called without num_parallel_calls.
I think it will increase the efficiency of your program if you add this.
The socond one is in thedefinition of Eval,tensorflow_dl_models/research/street/python/vgsl_model.py. sess = tf.Session('') was repeatedly called and was not closed.
I think it will increase the efficiency and avoid out of memory if you close this session after using it.