Tensorflow Slim : Significance of Different versions

Question

I am trying to use tf slim library for building model on top of inception-v3 model

The tf slim library uses a version 'import tensorflow.contrib.slim as slim'

wheras the inception model uses 'from inception.slim import slim'

both the versions have some common and some different set of files , like layers.py is not present in inception.slim etc

1. What is the significance of having two versions of the library ?
2. Is there a difference in application of both the libraries
3. The inception.slim contains files with deprecated functions like tf.op_scope and tf.variable_op_scope ?

Answer 1

1. We are moving layers to the core library.
2. There may be subtle differences, the core library is always the recommended one.
3. Yes, while slim/tf.learn etc are being assimilated, they will be in an odd shape until then. (But they should continue to work)