Fix CI

Author: Xeratec

DeeployTest/testMVP.py

@@ -40,6 +40,7 @@
 from testUtils.testRunner import TestGeneratorArgumentParser
 from testUtils.typeMapping import inferInputType
 
+from Deeploy.AbstractDataTypes import PointerClass
 from Deeploy.DeeployTypes import CodeGenVerbosity, ConstantBuffer, NetworkContext, NetworkDeployer, ONNXLayer, \
     SubGraph, TransientBuffer
 from Deeploy.EngineExtension.NetworkDeployers.EngineColoringDeployer import EngineColoringDeployerWrapper
@@ -148,7 +149,6 @@ def setupDeployer(graph: gs.Graph, memoryHierarchy: MemoryHierarchy, defaultTarg
     _DEEPLOYSTATEDIR = os.path.join(args.dumpdir, "deeployStates")
 
     inputs = np.load(f'{args.dir}/inputs.npz')
-    tensors = graph.tensors()
 
     # Load as int64 and infer types later
     test_inputs = [inputs[x].reshape(-1).astype(np.float64) for x in inputs.files]
@@ -160,12 +160,13 @@ def setupDeployer(graph: gs.Graph, memoryHierarchy: MemoryHierarchy, defaultTarg
     if args.enableStrides:
         platform.engines[0].enableStrides = True
 
-    for index, num in enumerate(test_inputs):
-        # WIESP: Do not infer types and offset of empty arrays
+    for index, (name, num) in enumerate(zip(inputs.files, test_inputs)):
         if np.prod(num.shape) == 0:
             continue
+
         _type, offset = inferInputType(num, signProp)[0]
-        inputTypes[f"input_{index}"] = _type
+
+        inputTypes[f"input_{index}"] = PointerClass(_type)
         inputOffsets[f"input_{index}"] = offset
 
     deployer = mapDeployer(platform,