CODEWITHSUNDEEP
pythontensorflowdeep-learning
Ufuk Can Bicici
Ufuk Can Bicici

Reputation: 3649

Changing the current graph of tf.placeholder objects in Tensorflow: Is it possible?

In my code, I am changing my current default graph for some reason and rebuild all the computation logic from scratch. This naturally leads to some errors, since my tf.placeholder items stay in the old graph. I can naturally declare these again, but in order to do that, I have to write a lot of glue-junk code which will needlesly complicate everything. What I need is to get all tf.placeholder objects in my current graph and then transfer to them into the new graph I am going to create. Is there any way to do that? My preliminary research did not give any meaningful results but I am highly positive there should be a way to do this in Tensorflow.

Upvotes: 0

Views: 96

Answers (1)

nessuno
nessuno

Reputation: 27042

If you have 2 graphs, you can copy operations and variables from a graph to the other using the tf.contrib.copy_graph module.

In particular, you can use the copy_op_to_graph to copy the placeholder pl from graph g1 to graph g2:

tf.contrib.copy_graph.copy_op_to_graph(
    pl,
    g2,
    [],
    scope=''
)

Upvotes: 3

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