From 2dc950222dc137ca8b76a583211eb65401a45a40 Mon Sep 17 00:00:00 2001
From: "sweep-nightly[bot]"
 <131841235+sweep-nightly[bot]@users.noreply.github.com>
Date: Sun, 15 Oct 2023 22:52:20 +0000
Subject: [PATCH 1/2] feat: Updated src/main.py

---
 src/main.py | 23 +++++++++++++----------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/src/main.py b/src/main.py
index 243a31e..fc02a55 100644
--- a/src/main.py
+++ b/src/main.py
@@ -6,19 +6,21 @@
 from torch.utils.data import DataLoader
 import numpy as np
 
-# Step 1: Load MNIST Data and Preprocess
-transform = transforms.Compose([
-    transforms.ToTensor(),
-    transforms.Normalize((0.5,), (0.5,))
-])
+class MNISTDataLoader:
+    def __init__(self):
+        self.transform = transforms.Compose([
+            transforms.ToTensor(),
+            transforms.Normalize((0.5,), (0.5,))
+        ])
 
-trainset = datasets.MNIST('.', download=True, train=True, transform=transform)
-trainloader = DataLoader(trainset, batch_size=64, shuffle=True)
+        self.trainset = datasets.MNIST('.', download=True, train=True, transform=self.transform)
+        self.trainloader = DataLoader(self.trainset, batch_size=64, shuffle=True)
 
 # Step 2: Define the PyTorch Model
 class Net(nn.Module):
-    def __init__(self):
+    def __init__(self, data_loader):
         super().__init__()
+        self.data_loader = data_loader
         self.fc1 = nn.Linear(28 * 28, 128)
         self.fc2 = nn.Linear(128, 64)
         self.fc3 = nn.Linear(64, 10)
@@ -31,14 +33,15 @@ def forward(self, x):
         return nn.functional.log_softmax(x, dim=1)
 
 # Step 3: Train the Model
-model = Net()
+data_loader = MNISTDataLoader()
+model = Net(data_loader)
 optimizer = optim.SGD(model.parameters(), lr=0.01)
 criterion = nn.NLLLoss()
 
 # Training loop
 epochs = 3
 for epoch in range(epochs):
-    for images, labels in trainloader:
+    for images, labels in data_loader.trainloader:
         optimizer.zero_grad()
         output = model(images)
         loss = criterion(output, labels)

From e9bae9ccb7ff39392f1ebd8d10f14a2d7d19d4fd Mon Sep 17 00:00:00 2001
From: "sweep-nightly[bot]"
 <131841235+sweep-nightly[bot]@users.noreply.github.com>
Date: Sun, 15 Oct 2023 22:52:30 +0000
Subject: [PATCH 2/2] feat: Updated src/api.py

---
 src/api.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/src/api.py b/src/api.py
index 36c257a..2270bd1 100644
--- a/src/api.py
+++ b/src/api.py
@@ -2,10 +2,13 @@
 from PIL import Image
 import torch
 from torchvision import transforms
-from main import Net  # Importing Net class from main.py
+from main import Net, MNISTDataLoader  # Importing Net and MNISTDataLoader classes from main.py
+
+# Instantiate the MNISTDataLoader
+data_loader = MNISTDataLoader()
 
 # Load the model
-model = Net()
+model = Net(data_loader)
 model.load_state_dict(torch.load("mnist_model.pth"))
 model.eval()