quickstart

FluxML · Dec 3, 2024 · 24a150b · 24a150b
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diff --git a/docs/src/guide/models/quickstart.md b/docs/src/guide/models/quickstart.md
@@ -54,7 +54,7 @@ probs2 = softmax(out2)                  # normalise to get probabilities
 mean((probs2[1,:] .> 0.5) .== truth)    # accuracy 94% so far!
 ```
 
-![](../../assets/quickstart/oneminute.png)
+![](../../../assets/quickstart/oneminute.png)
 
 ```julia
 using Plots  # to draw the above figure
@@ -67,7 +67,7 @@ plot(p_true, p_raw, p_done, layout=(1,3), size=(1000,330))
 ```
 
 ```@raw html
-<img align="right" width="300px" src="../../assets/quickstart/loss.png">
+<img align="right" width="300px" src="../../../assets/quickstart/loss.png">
 ```
 
 Here's the loss during training:

diff --git a/test/Project.toml b/test/Project.toml
@@ -8,6 +8,7 @@ FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
 Functors = "d9f16b24-f501-4c13-a1f2-28368ffc5196"
 GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
+GPUCompiler = "61eb1bfa-7361-4325-ad38-22787b887f55"
 IterTools = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"

diff --git a/test/runtests.jl b/test/runtests.jl
@@ -65,6 +65,10 @@ Random.seed!(0)
     @testset "functors" begin
       include("functors.jl")
     end
+
+    @testset "deprecations" begin
+      include("deprecations.jl")
+    end
   else
       @info "Skipping CPU tests."
   end