Comments (3)
My understanding is that since td is build over tf, not everything will be accessible as would be the case with "pure" tensorflow, meaning specifically that scopes are probably used by td to deal with the dynamic part of building the graph. I'm not entirely sure that the tf.variable_scope
commands are compatible with the whole td.compiler thing. If they were, you wouldn't need a scopedlayer, IMHO.
A good example of that is the results of the 'word_cell' scope, that is "internally" translated to several blocks.
Of course, I'm a random internet dude, not a contributor to the project, so everything I said might be horribly wrong.
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Yeah, TensorBoard graph view is not very helpful with Fold, unfortunately. Regarding scoping, if you know what you're doing you can pass in a scope as an argument to td.ScopedLayer and it will get used exactly as provided. If you pass in a string we go through some gymnastics to ensure that every ScopedLayer really does correspond to a unique scope. We do this to avoid some breakage and gotchas in the TF variable scoping mechanism. What Delesley said is a very good suggestion for making sure the right variables are being created. If you are observing undersharing (e.g. a single scoped layer that encapsulates variables that are being created more than once) that is bug, please do report it. But the view of the graph in tensorboard is unfortunately not sufficient to figure out what's going on.
Regarding the while loop, I'm confused; Fold certainly only creates one while loop per compiler; maybe you ran Block.eval() somewhere? (eval() is only for messing around at the repl and unit tests; it shouldn't be used in "real" models)
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Related Issues (20)
- NEAT Algorithm implementation HOT 1
- How do I get the root embedding tensors after training the model? HOT 1
- Is it still live?
- Compatability with Tensorflow 2.4+ HOT 3
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- can current fold work with tensorflow 1.3? Is it tested? HOT 8
- How to use fold in serving? HOT 2
- Fold & Eager HOT 3
- "undefined symbol" caused by building fold from source HOT 3
- Not compiled to use: SSE4.1 SSE4.2
- Is Fold not compatible with tensorflow-1.4.0? HOT 1
- Typos in sample
- using tf.constant() in td.Composition HOT 1
- "import tensorflow_fold" problem HOT 7
- How to build child-sum tree using tensorflow fold? HOT 2
- How to print intermediate outputs in recursion in TF Fold? HOT 4
- Printing predictions HOT 7
- Making Windows compatible HOT 2
- tensorflow_fold-0.0.1-cp27-cp27mu-manylinux1_x86_64.whl is not a supported wheel on this platform. HOT 1
- fold incompatible with TF-gpu 1.10.1 HOT 1
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