Clearing traced function cache

[jonas....@cern.ch]

 Hi all,

first off, thanks a lot for all the efforts and the great work, it's a pleasure to use TensorFlow!

Is there a public way to clear/invalidate the traced functions? In order to a) retrace it (with a changed Python state) and b) clear up the memory

The use-case is that a function is sometimes (Python) state based and therefore one would need to retrace it, basically invalidating the old trace and removing it.

I am aware that there are often ways around such a design, but sometimes there are None: if you build a model that depends on Python variable and run this a couple of times. Manually keeping track of changes is one thing (this is up to the user, clearly) but we cannot simply check for re-tracing _in general_ (since this would mean that we would also need to handle the re-tracing logic of Tensors).

How could we go about clearing the traced functions?

Best,
Jonas

[Rohan Jain]

Faizan and Dan have done some recent work in this area that can help you. 

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Rohan

[A K]

Hi All, is there a response or a solution to this problem? 

This memory leak (and maybe other ones) prevent using Tensorflow in production.

Thanks.

[Mark Knecht]

Is this list even alive? I haven't seen any messages since last May and very little traffic since last year.

- Mark

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/discuss/cf86820a-bae3-438e-ae78-8c2aca4426f0n%40tensorflow.org.

[Jiri Simsa]

The recommended forum for TF related discussion (e.g. asking technical questions) is https://discuss.tensorflow.org/ (which was launched last year).

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/discuss/CAK2H%2Bed-qWfrxo2eAYVEHcVP%2ByY3rdJVMJz81vTsWHLB2g4q7w%40mail.gmail.com.