CODEWITHSUNDEEP
pythontensorflow
user 007
user 007

Reputation: 911

Tensorflow prints the same info twice while training

I'm training a model for object detection using tensorflow.. and while training, in the terminal, tensorflow prints the same info twice as follows : 

INFO:tensorflow:global step 3292: loss = 3.2832 (2.960 sec/step)
INFO:tensorflow:global step 3292: loss = 3.2832 (2.960 sec/step)
INFO:tensorflow:global step 3293: loss = 3.5285 (3.675 sec/step)
INFO:tensorflow:global step 3293: loss = 3.5285 (3.675 sec/step)
INFO:tensorflow:global step 3294: loss = 2.3972 (3.564 sec/step)
INFO:tensorflow:global step 3294: loss = 2.3972 (3.564 sec/step)
INFO:tensorflow:Recording summary at step 3294.
INFO:tensorflow:Recording summary at step 3294.
INFO:tensorflow:global_step/sec: 0.294019
INFO:tensorflow:global_step/sec: 0.294019

I noticed this "issue" only while training using tensorflow installed from source, I trained two models using tensorflow installed using pip and the logging was normal. I don't see any side effect of this behavior but I'm curious about what's causing it. Any idea?

Upvotes: 4

Views: 1880

Answers (1)

weigen su
weigen su

Reputation: 21

Open variables_helper.py in models/research/object_detection/utils/variables_helper.py and change import like this：

import re
import tensorflow as tf
from tensorflow import logging as logging
slim = tf.contrib.slim

and it is solved.

Upvotes: 2

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