[Test] Change input tensor to use values of smaller finn dtypes

tests/brevitas/test_brevitas_avg_pool_export.py

@@ -55,10 +55,9 @@ def test_brevitas_avg_pool_export(
         prefix = "INT"
     else:
         prefix = "UINT"
-    dt_name = prefix + str(input_bit_width)
+    dt_name = prefix + str(input_bit_width // 2)
     dtype = DataType[dt_name]
     model = model.transform(InferShapes())
-    model.set_tensor_datatype(model.graph.input[0].name, dtype)
     model = model.transform(InferDataTypes())
 
     # execution with input tensor using integers and scale = 1
@@ -91,6 +90,7 @@ def test_brevitas_avg_pool_export(
     bo.export_finn_onnx(b_avgpool, ishape, export_onnx_path, input_t=input_quant_tensor)
     model = ModelWrapper(export_onnx_path)
     model = model.transform(InferShapes())
+    model = model.transform(InferDataTypes())
     b_avgpool.eval()
     expected = b_avgpool.forward(input_quant_tensor).tensor.detach().numpy()
     # finn execution