From 139488e0afd28f1460f8295219175949cdd32603 Mon Sep 17 00:00:00 2001 From: ncguilbeault Date: Wed, 29 Jan 2025 19:07:00 +0000 Subject: [PATCH] Modified torch module classes to be internel --- src/Bonsai.ML.Torch/NeuralNets/Models/AlexNet.cs | 2 +- src/Bonsai.ML.Torch/NeuralNets/Models/MNIST.cs | 2 +- src/Bonsai.ML.Torch/NeuralNets/Models/MobileNet.cs | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/Bonsai.ML.Torch/NeuralNets/Models/AlexNet.cs b/src/Bonsai.ML.Torch/NeuralNets/Models/AlexNet.cs index c80a3d50..c3d19d55 100644 --- a/src/Bonsai.ML.Torch/NeuralNets/Models/AlexNet.cs +++ b/src/Bonsai.ML.Torch/NeuralNets/Models/AlexNet.cs @@ -7,7 +7,7 @@ namespace Bonsai.ML.Torch.NeuralNets.Models /// /// Modified version of original AlexNet to fix CIFAR10 32x32 images. /// - public class AlexNet : Module + internal class AlexNet : Module { private readonly Module features; private readonly Module avgPool; diff --git a/src/Bonsai.ML.Torch/NeuralNets/Models/MNIST.cs b/src/Bonsai.ML.Torch/NeuralNets/Models/MNIST.cs index 8a5f84db..8bd3e0a4 100644 --- a/src/Bonsai.ML.Torch/NeuralNets/Models/MNIST.cs +++ b/src/Bonsai.ML.Torch/NeuralNets/Models/MNIST.cs @@ -7,7 +7,7 @@ namespace Bonsai.ML.Torch.NeuralNets.Models /// /// Represents a simple convolutional neural network for the MNIST dataset. /// - public class MNIST : Module + internal class MNIST : Module { private readonly Module conv1; private readonly Module conv2; diff --git a/src/Bonsai.ML.Torch/NeuralNets/Models/MobileNet.cs b/src/Bonsai.ML.Torch/NeuralNets/Models/MobileNet.cs index 0faa1062..a5f7701a 100644 --- a/src/Bonsai.ML.Torch/NeuralNets/Models/MobileNet.cs +++ b/src/Bonsai.ML.Torch/NeuralNets/Models/MobileNet.cs @@ -9,7 +9,7 @@ namespace Bonsai.ML.Torch.NeuralNets.Models /// /// MobileNet model. /// - public class MobileNet : Module + internal class MobileNet : Module { private readonly long[] planes = [ 64, 128, 128, 256, 256, 512, 512, 512, 512, 512, 512, 1024, 1024 ]; private readonly long[] strides = [ 1, 2, 1, 2, 1, 2, 1, 1, 1, 1, 1, 2, 1 ];