Fix Conv op export ways of getting nb_in_chan

aidge_export_cpp/operators.py

@@ -144,8 +144,8 @@ class ConvCPP(ExportNode):
         # Use PaddedConv to add padding attribute
         self.padding = [0, 0]
 
-        self.nb_channels = node.get_operator().get_attr("InChannels")
-        self.nb_outputs = node.get_operator().get_attr("OutChannels")
+        self.nb_channels = node.get_operator().in_channels()
+        self.nb_outputs = node.get_operator().out_channels()
 
         if len(self.inputs_dims[0]) == 4:
             # if dims == [batch, nb_channels, height, width]
@@ -187,7 +187,6 @@ class ConvCPP(ExportNode):
 
         if not self.is_last:
             list_actions.append(set_up_output(self.name, "float"))
-        print(self.inputs[0])
         list_actions.append(generate_str(
             str(ROOT / "templates" / "kernel_forward" / "convolution_forward.jinja"),
             name=self.name,