tensorflow error: you must feed a value for placeholder tensor 'placeholder_8' with dtype float about flux.jl

[baggepinnen]

I am still having this issue, has it been resolved on some branch other than the latest tagged version perhaps?

[MikeInnes]

So now DataFlow just interprets f.(x) as broadcast(f, x). This is pretty easy to handle in Flux; the right graph method gets called in Flux already, so we just need to add the overloads.

[MikeInnes]

Yes, this issue is a valid one with Flux. We changed our approach to gradients to make things more consistent but were waiting on malmaud/TensorFlow.jl#215 to complete it. Should be fixed soon.

[ExpandingMan]

Thanks for the update. Indeed it seems that TensorFlow merged their pull request already. In that case I'll wait rather than trying to get this going through some hack.

By the way, the warnings about the dot operators seem very hard to fix. Will this require some way of passing multiple function arguments to graph, as in graph(::typeof(broadcast), ::typeof(+), args...) or will there be some simpler solution?

[MikeInnes]

That's one option. Right now I'm trying to implement #31 in DataFlow.jl, which is a slightly different design. With that you'd dispatch on graph(::Broadcast{typeof(+)}, args...)

[MikeInnes]

This should be fixed in the latest release.