NXP backend: Use new Neutron flow for failing constant pad tests.

Author: MartinPavella

backends/nxp/tests/ir/converter/node_converter/test_constant_pad_nd_converter.py

@@ -163,13 +163,12 @@ def test_constant_pad_nd__unsupported_paddings(input_shape, paddings, use_qat):
     assert any(node.name == "aten_constant_pad_nd_default" for node in nodes)
 
 
-@pytest.mark.xfail(reason="EIEX=855")
 def test_constant_pad_nd__delegation__formatless__supported_padding(use_qat):
     input_shape = (2, 4, 6, 8)  # Formatless -> the last dim (8) will be padded.
     paddings = [0, 0, 1, 2, 3, 4]  # The last dim is padded using the first 2 paddings.
     model = ConstantPadNDModule(paddings)
     exec_program = to_quantized_edge_program(
-        model, input_shape, use_qat=use_qat
+        model, input_shape, use_qat=use_qat, use_new_flow_neutron_c=True
     ).exported_program()
 
     # Make sure the `pad` was delegated.
@@ -192,13 +191,12 @@ def test_constant_pad_nd__delegation__formatless__unsupported_padding(use_qat):
     )
 
 
-@pytest.mark.xfail(reason="Regression in Neutron SW 3.0.1 (AIR-14264)", strict=True)
 def test_constant_pad_nd__delegation__channels_first__supported_padding(use_qat):
     input_shape = (2, 4, 6, 8)  # Channels first -> the second dim (4) will be padded.
     paddings = [1, 2, 3, 4, 0, 0]  # The second dim is padded using the paddings[4:6].
     model = ConstantPadNDConvModule(paddings)
     exec_program = to_quantized_edge_program(
-        model, input_shape, use_qat=use_qat
+        model, input_shape, use_qat=use_qat, use_new_flow_neutron_c=True
     ).exported_program()
 
     # Make sure the `pad` was delegated.