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Regarding the issue of the model crashing during training #65

@Khakit20

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@Khakit20

When I adjust the parameters to num_steps = 150 and no_im_loss_steps = 20, my model crashes and cannot encode as soon as the program executes _, _, global_step = sess.run([train_op, loss_op, global_step_tensor], feed_dict=feed_dict). I have also attached an image.
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