docs: update deps for the NeuralODE tutorial

LuxDL · Oct 18, 2024 · 3713531 · 3713531
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Showing 3 changed files with 13 additions and 13 deletions.
diff --git a/examples/NeuralODE/Project.toml b/examples/NeuralODE/Project.toml
@@ -7,7 +7,7 @@ MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
 MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
 OneHotArrays = "0b1bfda6-eb8a-41d2-88d8-f5af5cad476f"
 Optimisers = "3bd65402-5787-11e9-1adc-39752487f4e2"
-OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
+OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
@@ -17,12 +17,12 @@ Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 [compat]
 ComponentArrays = "0.15"
 Lux = "1"
-LuxCUDA = "0.2, 0.3"
-MLDatasets = "0.5, 0.7"
-MLUtils = "0.2, 0.3, 0.4"
-OneHotArrays = "0.1, 0.2"
-Optimisers = "0.2, 0.3"
-OrdinaryDiffEq = "6"
+LuxCUDA = "0.3"
+MLDatasets = "0.7"
+MLUtils = "0.4"
+OneHotArrays = "0.2"
+Optimisers = "0.3"
+OrdinaryDiffEqTsit5 = "1"
 SciMLSensitivity = "7.63"
 Statistics = "1"
 Zygote = "0.6"

diff --git a/examples/NeuralODE/main.jl b/examples/NeuralODE/main.jl
@@ -7,8 +7,8 @@
 
 # ## Package Imports
 
-using Lux, ComponentArrays, SciMLSensitivity, LuxCUDA, Optimisers, OrdinaryDiffEq, Random,
-      Statistics, Zygote, OneHotArrays, InteractiveUtils, Printf
+using Lux, ComponentArrays, SciMLSensitivity, LuxCUDA, Optimisers, OrdinaryDiffEqTsit5,
+      Random, Statistics, Zygote, OneHotArrays, InteractiveUtils, Printf
 using MLDatasets: MNIST
 using MLUtils: DataLoader, splitobs
 
@@ -139,9 +139,9 @@ function train(model_function; cpu::Bool=false, kwargs...)
         end
         ttime = time() - stime
 
-        tr_acc = accuracy(model, tstate.parameters, tstate.states, train_dataloader)
-        te_acc = accuracy(model, tstate.parameters, tstate.states, test_dataloader)
-        @printf "[%d/%d] \t Time %.2fs \t Training Accuracy: %.5f%% \t Test \
+        tr_acc = accuracy(model, tstate.parameters, tstate.states, train_dataloader) * 100
+        te_acc = accuracy(model, tstate.parameters, tstate.states, test_dataloader) * 100
+        @printf "[%d/%d]\tTime %.4fs\tTraining Accuracy: %.5f%%\tTest \
                  Accuracy: %.5f%%\n" epoch nepochs ttime tr_acc te_acc
     end
 end

diff --git a/test/qa_tests.jl b/test/qa_tests.jl
@@ -10,7 +10,7 @@
     Aqua.test_piracies(Lux; treat_as_own=[Lux.outputsize])
 end
 
-@testitem "Explicit Imports: Quality Assurance" setup=[SharedTestSetup] tags=[:others] begin
+@testitem "Explicit Imports: Quality Assurance" tags=[:others] begin
     # Load all trigger packages
     import Lux, ComponentArrays, ReverseDiff, SimpleChains, Tracker, Zygote, Enzyme
     using ExplicitImports