Add test for tf.convert_to_tensor with 2D list input.

Author: khatchad

com.ibm.wala.cast.python.ml.test/source/com/ibm/wala/cast/python/ml/test/TestTensorflow2Model.java

@@ -4311,6 +4311,12 @@ public void testConvertToTensor11()
     test("tf2_test_convert_to_tensor11.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_5_FLOAT32)));
   }
 
+  @Test
+  public void testConvertToTensor12()
+      throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException {
+    test("tf2_test_convert_to_tensor12.py", "f", 1, 1, Map.of(2, Set.of(TENSOR_2_3_INT32)));
+  }
+
   @Test
   public void testOneHot()
       throws ClassHierarchyException, IllegalArgumentException, CancelException, IOException {

com.ibm.wala.cast.python.test/data/tf2_test_convert_to_tensor12.py

@@ -0,0 +1,30 @@
+import tensorflow as tf
+
+
+def f(a):
+    pass
+
+
+# A 2D list (Matrix)
+matrix_list = [
+    [1, 2, 3],
+    [4, 5, 6]
+]
+
+assert isinstance(matrix_list, list)
+assert len(matrix_list) == 2
+assert all(isinstance(row, list) for row in matrix_list)
+assert all(isinstance(x, int) for row in matrix_list for x in row)
+assert len(matrix_list[0]) == 3
+assert len(matrix_list[1]) == 3
+
+# Convert the 2D list to a TensorFlow Tensor
+matrix_tensor = tf.convert_to_tensor(matrix_list)
+
+# Output: shape=(2, 3), dtype=int32
+
+assert isinstance(matrix_tensor, tf.Tensor)
+assert matrix_tensor.dtype == tf.int32
+assert matrix_tensor.shape == (2, 3)
+
+f(matrix_tensor)