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juliagradientflux-machine-learning
ecjb
ecjb

Reputation: 5449

Julia: Flux.jl: "function gradient does not accept keyword arguments"

I'm trying to use Flux.jl v"0.6.10 (which I freshly installed and which looks like an awesome package) with Julia Version 1.1.0 and copied the following code from the "basic" section of the documation of flux.jl

using Flux.Tracker
f(x) = 3x^2 + 2x + 1;
df(x) = Tracker.gradient(f, x; nest = true)[1];
df(2)

However I got this error message:

ERROR: function gradient does not accept keyword arguments
Stacktrace:
 [1] kwfunc(::Any) at ./boot.jl:330
 [2] df(::Int64) at ./REPL[3]:1
 [3] top-level scope at none:0

What am I doing wrong?

Upvotes: 1

Views: 169

Answers (1)

ecjb
ecjb

Reputation: 5449

Well I just found that the version that I installed and update is the v"0.6.10 (although I just ran (v1.1) pkg> update Flux). However in the documentation, the code above is df(x) = Tracker.gradient(f, x)[1] for the definition of the gradient (and not df(x) = Tracker.gradient(f, x; nest = true)[1];, which is valid for the version v"0.8.3)

Upvotes: 0

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