From 9e9a21ab7d9e99d9ec2a51dd66bdbd3eb2907013 Mon Sep 17 00:00:00 2001
From: Diego Manzanas Lopez <diego.manzanas.lopez@vanderbilt.edu>
Date: Mon, 17 Apr 2023 23:52:41 -0500
Subject: [PATCH] Update load_rl_NNs.m

"Fix" onnx loading error by loading mat files
---
 .../NNV_vs_MATLAB/rl_benchmarks/load_rl_NNs.m | 40 +++++++++----------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/code/nnv/examples/NNV2.0/Submission/CAV2023/NNV_vs_MATLAB/rl_benchmarks/load_rl_NNs.m b/code/nnv/examples/NNV2.0/Submission/CAV2023/NNV_vs_MATLAB/rl_benchmarks/load_rl_NNs.m
index 090ecea2ca..988020c996 100644
--- a/code/nnv/examples/NNV2.0/Submission/CAV2023/NNV_vs_MATLAB/rl_benchmarks/load_rl_NNs.m
+++ b/code/nnv/examples/NNV2.0/Submission/CAV2023/NNV_vs_MATLAB/rl_benchmarks/load_rl_NNs.m
@@ -9,22 +9,28 @@
     t = tic;
     for h = 1:length(listNN) % generlize NN loading options for all benchmarks
         if endsWith(listNN(h).name, ".onnx")
-            net = importONNXNetwork(benchmarkFolder+string(listNN(h).name), InputDataFormats="BC");
-            % transform for matlab
-            if ~contains(listNN(h).name, "dubins")
-                Layers = net.Layers([1,4:end-1]);
-                net = dlnetwork(Layers);
+            if is_codeocean % error with swing (some internal operations not available when running -nodesktop)
+                modelname = split(listNN(h).name,'.');
+                net = load(benchmarkFolder+string(modelname{1})+".mat");
+                net = net.net;
             else
-                Layers = net.Layers;
-                ils = [];
-                for k=1:length(Layers)-1
-                    if isa(Layers(k), "nnet.onnx.layer.ElementwiseAffineLayer")
-                        Layers(k-1).Bias = Layers(k).Offset;
-                    else
-                        ils = [ils k];
+                net = importONNXNetwork(benchmarkFolder+string(listNN(h).name), InputDataFormats="BC");
+                % transform for matlab
+                if ~contains(listNN(h).name, "dubins")
+                    Layers = net.Layers([1,4:end-1]);
+                    net = dlnetwork(Layers);
+                else
+                    Layers = net.Layers;
+                    ils = [];
+                    for k=1:length(Layers)-1
+                        if isa(Layers(k), "nnet.onnx.layer.ElementwiseAffineLayer")
+                            Layers(k-1).Bias = Layers(k).Offset;
+                        else
+                            ils = [ils k];
+                        end
                     end
+                    net = dlnetwork(net.Layers(ils));
                 end
-                net = dlnetwork(net.Layers(ils));
             end
             nn = matlab2nnv(net);
             % store networks
@@ -39,11 +45,5 @@
     t = toc(t);
     names2idxs = containers.Map(names,idxs);
     disp("All networks are loaded in " + string(t) + " seconds");
-    % Remove extra files
-    try 
-        rmdir +cartpole s
-    end
-    try
-        rmdir +lunarlander s
-    end
+
 end