From 6dfaa8b0d632d1141a981cac608b8b6c6489dafd Mon Sep 17 00:00:00 2001
From: Avik Pal <avikpal@iitk.ac.in>
Date: Thu, 25 Apr 2024 23:17:54 -0400
Subject: [PATCH] Add the Manifest back

---
 Project.toml               | 4 ++--
 examples/NeuralODE/main.jl | 4 ++++
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/Project.toml b/Project.toml
index 86f6d428d..de2c5e6b1 100644
--- a/Project.toml
+++ b/Project.toml
@@ -65,7 +65,7 @@ ADTypes = "0.2, 1"
 Adapt = "4"
 Aqua = "0.8.4"
 ArrayInterface = "7.9"
-CUDA = "5.2"
+CUDA = "5.3.2"
 ChainRulesCore = "1.23"
 ComponentArrays = "0.15.11"
 ConcreteStructs = "0.2.3"
@@ -84,7 +84,7 @@ LuxAMDGPU = "0.2.2"
 LuxCUDA = "0.3.2"
 LuxCore = "0.1.14"
 LuxDeviceUtils = "0.1.19"
-LuxLib = "0.3.15"
+LuxLib = "0.3.18"
 LuxTestUtils = "0.1.15"
 MLUtils = "0.4.3"
 MPI = "0.20.19"
diff --git a/examples/NeuralODE/main.jl b/examples/NeuralODE/main.jl
index 2901534a9..5dc0acb36 100644
--- a/examples/NeuralODE/main.jl
+++ b/examples/NeuralODE/main.jl
@@ -171,8 +171,12 @@ function train(model_function; cpu::Bool=false, kwargs...)
 end
 
 train(NeuralODECompact)
+nothing #hide
+
+#-
 
 train(NeuralODE)
+nothing #hide
 
 # We can also change the sensealg and train the model! `GaussAdjoint` allows you to use
 # any arbitrary parameter structure and not just a flat vector (`ComponentArray`).