re-ran the tests

Project/save_to_examples.py

@@ -0,0 +1,16 @@
+import torchvision, torch, random
+from torchvision import transforms
+import matplotlib.pyplot as plt
+
+clean_tf = transforms.ToTensor();
+noise = lambda x,s: torch.clamp(x + s*torch.randn_like(x),0,1);
+
+ds = torchvision.datasets.CIFAR10('data',train=False,download=True,transform=clean_tf);
+idxs = random.sample(range(len(ds)),3);
+sigmas = [0.0,0.1,0.2,0.3];
+
+# fuzzy!
+for k in idxs:
+    img,_ = ds[k];
+    grid = torch.stack([noise(img,s) for s in sigmas]);
+    torchvision.utils.save_image(grid, f'example_{k}.png', nrow=len(sigmas));