diff --git a/compiler/tests/end_to_end_fixture/end_to_end_fhelinalg.yaml b/compiler/tests/end_to_end_fixture/end_to_end_fhelinalg.yaml
index ae15b9e04..5cac37fcd 100644
--- a/compiler/tests/end_to_end_fixture/end_to_end_fhelinalg.yaml
+++ b/compiler/tests/end_to_end_fixture/end_to_end_fhelinalg.yaml
@@ -27,3 +27,54 @@ tests:
     outputs:
     - tensor: [1, 3, 5, 2, 4, 6]
       shape: [2, 3]
+---
+description: conv2dWithGroup1C
+program: |
+  func.func @main(%input: tensor<1x6x4x4x!FHE.eint<5>>, %weight: tensor<6x1x2x2xi6>) -> tensor<1x6x3x3x!FHE.eint<5>> {
+    %1 = "FHELinalg.conv2d"(%input, %weight){group = 6 : i64}: (tensor<1x6x4x4x!FHE.eint<5>>, tensor<6x1x2x2xi6>) -> tensor<1x6x3x3x!FHE.eint<5>>
+    return %1 : tensor<1x6x3x3x!FHE.eint<5>>
+  }
+tests:
+  - inputs:
+    - tensor: [
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        ]
+      shape: [1, 6, 4, 4]
+      width: 8
+    - tensor: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
+      shape: [6, 1, 2, 2]
+      width: 8
+    outputs:
+    - tensor: [10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22,
+        10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22,
+        10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22, 10, 16, 22]
+      shape: [1, 6, 3, 3]
+---
+description: conv2dWithGroup2C
+program: |
+  func.func @main(%input: tensor<1x6x4x4x!FHE.eint<5>>, %weight: tensor<3x2x2x2xi6>) -> tensor<1x3x3x3x!FHE.eint<5>> {
+    %1 = "FHELinalg.conv2d"(%input, %weight){group = 3 : i64}: (tensor<1x6x4x4x!FHE.eint<5>>, tensor<3x2x2x2xi6>) -> tensor<1x3x3x3x!FHE.eint<5>>
+    return %1 : tensor<1x3x3x3x!FHE.eint<5>>
+  }
+tests:
+  - inputs:
+    - tensor: [
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4,
+        ]
+      shape: [1, 6, 4, 4]
+      width: 8
+    - tensor: [1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2]
+      shape: [3, 2, 2, 2]
+      width: 8
+    outputs:
+    - tensor: [
+        20, 32, 44, 20, 32, 44, 20, 32, 44, 20, 32, 44, 20, 32, 44, 20, 32, 44,
+        20, 32, 44, 20, 32, 44, 20, 32, 44,
+        ]
+      shape: [1, 3, 3, 3]