From 3e338c3be65638ef1898c32c707c50422acafb18 Mon Sep 17 00:00:00 2001
From: ericmarin <maarin.eric@gmail.com>
Date: Thu, 26 Mar 2026 20:28:38 +0100
Subject: added LICENSE

---
 fashion_mnist/fashion_mnist.py             |  53 ------------
 fashion_mnist/fashion_mnist_argmax.vnnlib  | 133 -----------------------------
 fashion_mnist/fashion_mnist_epsilon.vnnlib | 124 ---------------------------
 fashion_mnist/fashion_mnist_strict.vnnlib  | 123 --------------------------
 4 files changed, 433 deletions(-)
 delete mode 100644 fashion_mnist/fashion_mnist.py
 delete mode 100644 fashion_mnist/fashion_mnist_argmax.vnnlib
 delete mode 100644 fashion_mnist/fashion_mnist_epsilon.vnnlib
 delete mode 100644 fashion_mnist/fashion_mnist_strict.vnnlib

(limited to 'fashion_mnist')

diff --git a/fashion_mnist/fashion_mnist.py b/fashion_mnist/fashion_mnist.py
deleted file mode 100644
index 1c9dcf7..0000000
--- a/fashion_mnist/fashion_mnist.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import torch, torch.nn as nn
-from torchvision.datasets import FashionMNIST
-from torch.utils.data import DataLoader
-from torchvision import transforms
-
-class FashionMNIST_MLP(nn.Module):
-    def __init__(self, hidden_dim):
-        super().__init__()
-        self.layers = nn.Sequential(
-            nn.Flatten(),
-            nn.Linear(6 * 6, hidden_dim),
-            nn.ReLU(),
-            nn.Linear(hidden_dim, 2)
-        )
-    def forward(self, x):
-        return self.layers(x)
-
-transform = transforms.Compose([
-    transforms.Resize((6, 6)),
-    transforms.ToTensor(),
-])
-
-train_dataset = FashionMNIST('./', download=True, transform=transform, train=True)
-tshirts_trousers = [id for id, data in enumerate(train_dataset.targets) if data.item() == 0 or data.item() == 1]
-train_dataset = torch.utils.data.Subset(train_dataset, tshirts_trousers)
-
-trainloader = DataLoader(train_dataset, batch_size=128, shuffle=True)
-
-def train_model(name: str, dim):
-    net = FashionMNIST_MLP(hidden_dim=dim)
-    loss_fn = nn.CrossEntropyLoss()
-    optimizer = torch.optim.Adam(net.parameters(), lr=1e-4)
-
-    print(f"Training {name}...")
-    for epoch in range(100):
-        global loss
-        for data in trainloader:
-            inputs, targets = data
-            optimizer.zero_grad()
-            outputs = net(inputs)
-            loss = loss_fn(outputs, targets)
-            loss.backward()
-            optimizer.step()
-        if (epoch + 1) % 10 == 0:
-            print(f"  Epoch {epoch+1}, Loss: {loss.item():.4f}")
-    return net
-
-if __name__ == "__main__":
-    torch_net_a = train_model("Network A", 6).eval()
-    torch_net_b = train_model("Network B", 12).eval()
-
-    torch.onnx.export(torch_net_a, (torch.randn(1, 1, 6, 6),), "fashion_mnist_a.onnx")
-    torch.onnx.export(torch_net_b, (torch.randn(1, 1, 6, 6),), "fashion_mnist_b.onnx")
diff --git a/fashion_mnist/fashion_mnist_argmax.vnnlib b/fashion_mnist/fashion_mnist_argmax.vnnlib
deleted file mode 100644
index 0c4412b..0000000
--- a/fashion_mnist/fashion_mnist_argmax.vnnlib
+++ /dev/null
@@ -1,133 +0,0 @@
-; Argmax Equivalence for reduced FashionMNIST
-
-; Constant declaration
-(declare-const X_0 Real)
-(declare-const X_1 Real)
-(declare-const X_2 Real)
-(declare-const X_3 Real)
-(declare-const X_4 Real)
-(declare-const X_5 Real)
-(declare-const X_6 Real)
-(declare-const X_7 Real)
-(declare-const X_8 Real)
-(declare-const X_9 Real)
-(declare-const X_10 Real)
-(declare-const X_11 Real)
-(declare-const X_12 Real)
-(declare-const X_13 Real)
-(declare-const X_14 Real)
-(declare-const X_15 Real)
-(declare-const X_16 Real)
-(declare-const X_17 Real)
-(declare-const X_18 Real)
-(declare-const X_19 Real)
-(declare-const X_20 Real)
-(declare-const X_21 Real)
-(declare-const X_22 Real)
-(declare-const X_23 Real)
-(declare-const X_24 Real)
-(declare-const X_25 Real)
-(declare-const X_26 Real)
-(declare-const X_27 Real)
-(declare-const X_28 Real)
-(declare-const X_29 Real)
-(declare-const X_30 Real)
-(declare-const X_31 Real)
-(declare-const X_32 Real)
-(declare-const X_33 Real)
-(declare-const X_34 Real)
-(declare-const X_35 Real)
-(declare-const Y_0 Real)
-(declare-const Y_1 Real)
-(declare-const Y_2 Real)
-(declare-const Y_3 Real)
-
-; Bounded inputs: X must be within [0, 1]
-(assert (>= X_0 0.0))
-(assert (<= X_0 1.0))
-(assert (>= X_1 0.0))
-(assert (<= X_1 1.0))
-(assert (>= X_2 0.0))
-(assert (<= X_2 1.0))
-(assert (>= X_3 0.0))
-(assert (<= X_3 1.0))
-(assert (>= X_4 0.0))
-(assert (<= X_4 1.0))
-(assert (>= X_5 0.0))
-(assert (<= X_5 1.0))
-(assert (>= X_6 0.0))
-(assert (<= X_6 1.0))
-(assert (>= X_7 0.0))
-(assert (<= X_7 1.0))
-(assert (>= X_8 0.0))
-(assert (<= X_8 1.0))
-(assert (>= X_9 0.0))
-(assert (<= X_9 1.0))
-(assert (>= X_10 0.0))
-(assert (<= X_10 1.0))
-(assert (>= X_11 0.0))
-(assert (<= X_11 1.0))
-(assert (>= X_12 0.0))
-(assert (<= X_12 1.0))
-(assert (>= X_13 0.0))
-(assert (<= X_13 1.0))
-(assert (>= X_14 0.0))
-(assert (<= X_14 1.0))
-(assert (>= X_15 0.0))
-(assert (<= X_15 1.0))
-(assert (>= X_16 0.0))
-(assert (<= X_16 1.0))
-(assert (>= X_17 0.0))
-(assert (<= X_17 1.0))
-(assert (>= X_18 0.0))
-(assert (<= X_18 1.0))
-(assert (>= X_19 0.0))
-(assert (<= X_19 1.0))
-(assert (>= X_20 0.0))
-(assert (<= X_20 1.0))
-(assert (>= X_21 0.0))
-(assert (<= X_21 1.0))
-(assert (>= X_22 0.0))
-(assert (<= X_22 1.0))
-(assert (>= X_23 0.0))
-(assert (<= X_23 1.0))
-(assert (>= X_24 0.0))
-(assert (<= X_24 1.0))
-(assert (>= X_25 0.0))
-(assert (<= X_25 1.0))
-(assert (>= X_26 0.0))
-(assert (<= X_26 1.0))
-(assert (>= X_27 0.0))
-(assert (<= X_27 1.0))
-(assert (>= X_28 0.0))
-(assert (<= X_28 1.0))
-(assert (>= X_29 0.0))
-(assert (<= X_29 1.0))
-(assert (>= X_30 0.0))
-(assert (<= X_30 1.0))
-(assert (>= X_31 0.0))
-(assert (<= X_31 1.0))
-(assert (>= X_32 0.0))
-(assert (<= X_32 1.0))
-(assert (>= X_33 0.0))
-(assert (<= X_33 1.0))
-(assert (>= X_34 0.0))
-(assert (<= X_34 1.0))
-(assert (>= X_35 0.0))
-(assert (<= X_35 1.0))
-
-; Violation of argmax equivalence
-(assert (or
-  (and 
-    (> Y_0 Y_1)
-    (or
-      (> Y_3 Y_2)
-    )
-  )
-  (and 
-    (> Y_1 Y_0)
-    (or
-      (> Y_2 Y_3)
-    )
-  )
-))
diff --git a/fashion_mnist/fashion_mnist_epsilon.vnnlib b/fashion_mnist/fashion_mnist_epsilon.vnnlib
deleted file mode 100644
index 948e501..0000000
--- a/fashion_mnist/fashion_mnist_epsilon.vnnlib
+++ /dev/null
@@ -1,124 +0,0 @@
-; Strict Equivalence for reduced FashionMNIST
-
-; Constant declaration
-(declare-const X_0 Real)
-(declare-const X_1 Real)
-(declare-const X_2 Real)
-(declare-const X_3 Real)
-(declare-const X_4 Real)
-(declare-const X_5 Real)
-(declare-const X_6 Real)
-(declare-const X_7 Real)
-(declare-const X_8 Real)
-(declare-const X_9 Real)
-(declare-const X_10 Real)
-(declare-const X_11 Real)
-(declare-const X_12 Real)
-(declare-const X_13 Real)
-(declare-const X_14 Real)
-(declare-const X_15 Real)
-(declare-const X_16 Real)
-(declare-const X_17 Real)
-(declare-const X_18 Real)
-(declare-const X_19 Real)
-(declare-const X_20 Real)
-(declare-const X_21 Real)
-(declare-const X_22 Real)
-(declare-const X_23 Real)
-(declare-const X_24 Real)
-(declare-const X_25 Real)
-(declare-const X_26 Real)
-(declare-const X_27 Real)
-(declare-const X_28 Real)
-(declare-const X_29 Real)
-(declare-const X_30 Real)
-(declare-const X_31 Real)
-(declare-const X_32 Real)
-(declare-const X_33 Real)
-(declare-const X_34 Real)
-(declare-const X_35 Real)
-(declare-const Y_0 Real)
-(declare-const Y_1 Real)
-(declare-const Y_2 Real)
-(declare-const Y_3 Real)
-
-; Bounded inputs: X must be within [0, 1]
-(assert (>= X_0 0.0))
-(assert (<= X_0 1.0))
-(assert (>= X_1 0.0))
-(assert (<= X_1 1.0))
-(assert (>= X_2 0.0))
-(assert (<= X_2 1.0))
-(assert (>= X_3 0.0))
-(assert (<= X_3 1.0))
-(assert (>= X_4 0.0))
-(assert (<= X_4 1.0))
-(assert (>= X_5 0.0))
-(assert (<= X_5 1.0))
-(assert (>= X_6 0.0))
-(assert (<= X_6 1.0))
-(assert (>= X_7 0.0))
-(assert (<= X_7 1.0))
-(assert (>= X_8 0.0))
-(assert (<= X_8 1.0))
-(assert (>= X_9 0.0))
-(assert (<= X_9 1.0))
-(assert (>= X_10 0.0))
-(assert (<= X_10 1.0))
-(assert (>= X_11 0.0))
-(assert (<= X_11 1.0))
-(assert (>= X_12 0.0))
-(assert (<= X_12 1.0))
-(assert (>= X_13 0.0))
-(assert (<= X_13 1.0))
-(assert (>= X_14 0.0))
-(assert (<= X_14 1.0))
-(assert (>= X_15 0.0))
-(assert (<= X_15 1.0))
-(assert (>= X_16 0.0))
-(assert (<= X_16 1.0))
-(assert (>= X_17 0.0))
-(assert (<= X_17 1.0))
-(assert (>= X_18 0.0))
-(assert (<= X_18 1.0))
-(assert (>= X_19 0.0))
-(assert (<= X_19 1.0))
-(assert (>= X_20 0.0))
-(assert (<= X_20 1.0))
-(assert (>= X_21 0.0))
-(assert (<= X_21 1.0))
-(assert (>= X_22 0.0))
-(assert (<= X_22 1.0))
-(assert (>= X_23 0.0))
-(assert (<= X_23 1.0))
-(assert (>= X_24 0.0))
-(assert (<= X_24 1.0))
-(assert (>= X_25 0.0))
-(assert (<= X_25 1.0))
-(assert (>= X_26 0.0))
-(assert (<= X_26 1.0))
-(assert (>= X_27 0.0))
-(assert (<= X_27 1.0))
-(assert (>= X_28 0.0))
-(assert (<= X_28 1.0))
-(assert (>= X_29 0.0))
-(assert (<= X_29 1.0))
-(assert (>= X_30 0.0))
-(assert (<= X_30 1.0))
-(assert (>= X_31 0.0))
-(assert (<= X_31 1.0))
-(assert (>= X_32 0.0))
-(assert (<= X_32 1.0))
-(assert (>= X_33 0.0))
-(assert (<= X_33 1.0))
-(assert (>= X_34 0.0))
-(assert (<= X_34 1.0))
-(assert (>= X_35 0.0))
-(assert (<= X_35 1.0))
-
-; Violation of epsilon equivalence (epsilon = 0.1)
-(define-fun absolute ((x Real)) Real (if (>= x 0) x (- x)))
-(assert (or
-	(> (absolute (- Y_0 Y_2)) 0.1)
-	(> (absolute (- Y_1 Y_3)) 0.1)
-))
diff --git a/fashion_mnist/fashion_mnist_strict.vnnlib b/fashion_mnist/fashion_mnist_strict.vnnlib
deleted file mode 100644
index 8242c34..0000000
--- a/fashion_mnist/fashion_mnist_strict.vnnlib
+++ /dev/null
@@ -1,123 +0,0 @@
-; Strict Equivalence for reduced FashionMNIST
-
-; Constant declaration
-(declare-const X_0 Real)
-(declare-const X_1 Real)
-(declare-const X_2 Real)
-(declare-const X_3 Real)
-(declare-const X_4 Real)
-(declare-const X_5 Real)
-(declare-const X_6 Real)
-(declare-const X_7 Real)
-(declare-const X_8 Real)
-(declare-const X_9 Real)
-(declare-const X_10 Real)
-(declare-const X_11 Real)
-(declare-const X_12 Real)
-(declare-const X_13 Real)
-(declare-const X_14 Real)
-(declare-const X_15 Real)
-(declare-const X_16 Real)
-(declare-const X_17 Real)
-(declare-const X_18 Real)
-(declare-const X_19 Real)
-(declare-const X_20 Real)
-(declare-const X_21 Real)
-(declare-const X_22 Real)
-(declare-const X_23 Real)
-(declare-const X_24 Real)
-(declare-const X_25 Real)
-(declare-const X_26 Real)
-(declare-const X_27 Real)
-(declare-const X_28 Real)
-(declare-const X_29 Real)
-(declare-const X_30 Real)
-(declare-const X_31 Real)
-(declare-const X_32 Real)
-(declare-const X_33 Real)
-(declare-const X_34 Real)
-(declare-const X_35 Real)
-(declare-const Y_0 Real)
-(declare-const Y_1 Real)
-(declare-const Y_2 Real)
-(declare-const Y_3 Real)
-
-; Bounded inputs: X must be within [0, 1]
-(assert (>= X_0 0.0))
-(assert (<= X_0 1.0))
-(assert (>= X_1 0.0))
-(assert (<= X_1 1.0))
-(assert (>= X_2 0.0))
-(assert (<= X_2 1.0))
-(assert (>= X_3 0.0))
-(assert (<= X_3 1.0))
-(assert (>= X_4 0.0))
-(assert (<= X_4 1.0))
-(assert (>= X_5 0.0))
-(assert (<= X_5 1.0))
-(assert (>= X_6 0.0))
-(assert (<= X_6 1.0))
-(assert (>= X_7 0.0))
-(assert (<= X_7 1.0))
-(assert (>= X_8 0.0))
-(assert (<= X_8 1.0))
-(assert (>= X_9 0.0))
-(assert (<= X_9 1.0))
-(assert (>= X_10 0.0))
-(assert (<= X_10 1.0))
-(assert (>= X_11 0.0))
-(assert (<= X_11 1.0))
-(assert (>= X_12 0.0))
-(assert (<= X_12 1.0))
-(assert (>= X_13 0.0))
-(assert (<= X_13 1.0))
-(assert (>= X_14 0.0))
-(assert (<= X_14 1.0))
-(assert (>= X_15 0.0))
-(assert (<= X_15 1.0))
-(assert (>= X_16 0.0))
-(assert (<= X_16 1.0))
-(assert (>= X_17 0.0))
-(assert (<= X_17 1.0))
-(assert (>= X_18 0.0))
-(assert (<= X_18 1.0))
-(assert (>= X_19 0.0))
-(assert (<= X_19 1.0))
-(assert (>= X_20 0.0))
-(assert (<= X_20 1.0))
-(assert (>= X_21 0.0))
-(assert (<= X_21 1.0))
-(assert (>= X_22 0.0))
-(assert (<= X_22 1.0))
-(assert (>= X_23 0.0))
-(assert (<= X_23 1.0))
-(assert (>= X_24 0.0))
-(assert (<= X_24 1.0))
-(assert (>= X_25 0.0))
-(assert (<= X_25 1.0))
-(assert (>= X_26 0.0))
-(assert (<= X_26 1.0))
-(assert (>= X_27 0.0))
-(assert (<= X_27 1.0))
-(assert (>= X_28 0.0))
-(assert (<= X_28 1.0))
-(assert (>= X_29 0.0))
-(assert (<= X_29 1.0))
-(assert (>= X_30 0.0))
-(assert (<= X_30 1.0))
-(assert (>= X_31 0.0))
-(assert (<= X_31 1.0))
-(assert (>= X_32 0.0))
-(assert (<= X_32 1.0))
-(assert (>= X_33 0.0))
-(assert (<= X_33 1.0))
-(assert (>= X_34 0.0))
-(assert (<= X_34 1.0))
-(assert (>= X_35 0.0))
-(assert (<= X_35 1.0))
-
-; Violation of strict equivalence
-(assert (or
-	(not (= Y_0 Y_2))
-	(not (= Y_1 Y_3))
-))
-- 
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