diff --git a/verif/checker/verifier.py b/verif/checker/verifier.py
index 06ffcfb..684bea3 100644
--- a/verif/checker/verifier.py
+++ b/verif/checker/verifier.py
@@ -72,7 +72,7 @@
             ct.cast(shape, ct.POINTER(ct.c_int32)),
             ct.c_int32(len(array.shape)),
             ct.c_int(NUMPY_DATATYPE_TO_CLIENTTYPE[array.dtype]["type"]),
-            ct.cast(np.ctypeslib.as_ctypes(array), ct.POINTER(ct.c_uint8)),
+            array.ctypes.data_as(ct.POINTER(ct.c_uint8)),
             ct.c_size_t(size_in_bytes),
         )
         return tensor
diff --git a/verif/generator/tosa_test_gen.py b/verif/generator/tosa_test_gen.py
index d15f785..8beb2ae 100644
--- a/verif/generator/tosa_test_gen.py
+++ b/verif/generator/tosa_test_gen.py
@@ -282,17 +282,21 @@
         )
 
     def tensorComplianceMetaData(self, op, argsDict, outputTensor, errorName):
-        if errorName:
-            # No compliance for error tests
+        if errorName or not gtu.dtypeIsFloat(outputTensor.dtype):
+            # No compliance for error tests or integer tests currently
             return None
+
         # Create compliance meta data for expected output tensor
-        compliance_tens = {"mode": None}
+        compliance_tens = {
+            "mode": None,
+            # Data type is needed for all FP runs, as refmodel precise mode produces FP64
+            "data_type": gtu.DTYPE_ATTRIBUTES[outputTensor.dtype]["json"],
+        }
         if argsDict["dg_type"] == gtu.DataGenType.DOT_PRODUCT:
             mode = gtu.ComplianceMode.DOT_PRODUCT
             compliance_tens["dot_product_info"] = {
                 "s": argsDict["s"],
                 "ks": argsDict["ks"],
-                "data_type": gtu.DTYPE_ATTRIBUTES[outputTensor.dtype]["json"],
             }
         elif argsDict["dg_type"] == gtu.DataGenType.OP_SPECIAL:
             mode = gtu.ComplianceMode.FP_SPECIAL
@@ -301,6 +305,8 @@
             compliance_tens["ulp_info"] = {"ulp": op["compliance"]["ulp"]}
         elif op["op"] == Op.REDUCE_PRODUCT:
             mode = gtu.ComplianceMode.REDUCE_PRODUCT
+        elif op["op"] in (Op.ADD, Op.MUL, Op.SUB, Op.CEIL, Op.FLOOR, Op.CAST):
+            mode = gtu.ComplianceMode.ROUND
         else:
             mode = gtu.ComplianceMode.EXACT
         compliance_tens["mode"] = gtu.ComplianceMode(mode).name
diff --git a/verif/generator/tosa_utils.py b/verif/generator/tosa_utils.py
index 75a0df5..dddc320 100644
--- a/verif/generator/tosa_utils.py
+++ b/verif/generator/tosa_utils.py
@@ -38,6 +38,7 @@
     ULP = 2
     FP_SPECIAL = 3
     REDUCE_PRODUCT = 4
+    ROUND = 5
 
 
 class DataGenType(IntEnum):
diff --git a/verif/tests/test_schemavalidation.py b/verif/tests/test_schemavalidation.py
index 1ecd3ee..664e3a4 100644
--- a/verif/tests/test_schemavalidation.py
+++ b/verif/tests/test_schemavalidation.py
@@ -72,11 +72,7 @@
 def test_schemavalidation_compliance_minimal():
     json = {
         "version": "v",
-        "tensors": {
-            "output": {
-                "mode": "mode",
-            }
-        },
+        "tensors": {"output": {"mode": "mode", "data_type": "type"}},
     }
 
     sv = sch.TestDescSchemaValidator()
diff --git a/verif/tests/test_tosa_verifier.py b/verif/tests/test_tosa_verifier.py
index 996939c..864fa9c 100644
--- a/verif/tests/test_tosa_verifier.py
+++ b/verif/tests/test_tosa_verifier.py
@@ -40,7 +40,8 @@
     "tensors": {
         "output1": {
             "mode": "DOT_PRODUCT",
-            "dot_product_info": {"ks": 1000, "s": 0, "data_type": "FP32"},
+            "data_type": "FP32",
+            "dot_product_info": {"ks": 1000, "s": 0},
         }
     },
 }