Efficiency issue

Question

Efficiency issue

LLCF opened this issue 7 years ago · 4 comments

 x_batch, y_batch = next(train_generator)
 feed_dict = {   img: x_batch,
                        label: y_batch
                    }

This way is very slowly.

Answer 1 · 2018-05-07T15:32:31.000Z

It is slow because of the memory leak of the line:
global_step.assign(it).eval()
this line can be deleted!!!!

Answer 2 · 2018-05-08T02:29:18.000Z

I don't think so. When I comment "global_step.assign(it).eval()", most of the time, the GPU-Util is also 0%. I am sure that the GPU is waiting for data.

Answer 3 · 2018-05-08T02:35:58.000Z

Ok, I don't know what happened. I just add line sess.graph.finalize() after the line sess.run(init_op). and comment "global_step.assign(it).eval()" The train time is 4~~5 faster than the original version. BTW, the original version will get 2~~3times slower after about 1-2 hour

Answer 4 · 2018-10-31T09:08:50.000Z

I want to ask where is the train data and test data???I am very urgent