Hi everyone, I am training my segmentation model using a image set of 8146 training images. Training was taking a long time so I created LMDB data first and then trained my model but I did not see any decrease in training speed. I am also using nn.DataParallel. Any idea how can I improve the training speed? Each epoch takes more than 20 minutes  … I have experience with training models on tensorflow using tf.records and it was quite fast.