[DynConv] make get_dynamic_config return defaults with None params

src/finn/custom_op/fpgadataflow/convolutioninputgenerator_rtl.py

@@ -847,13 +847,15 @@ class ConvolutionInputGenerator_rtl(HLSCustomOp):
             intf_names["axilite"] = ["s_axilite"]
         return intf_names
 
-    def get_dynamic_config(self, ifm_dim, stride=None, dilation=None):
+    def get_dynamic_config(self, ifm_dim=None, stride=None, dilation=None):
         """Returns a configuration dict to re-configure FM dimension during
         runtime. Stride and dilation can also be changed. Certain restrictions
         apply (e.g. component must be synthesized for largest buffer size)."""
         # NOTE: For better driver integration, this functionality could be packaged
         # as a standalone function in the future
 
+        if ifm_dim is None:
+            ifm_dim = self.get_nodeattr("IFMDim")
         k = self.get_nodeattr("ConvKernelDim")
         if stride is None:
             stride = self.get_nodeattr("Stride")

src/finn/custom_op/fpgadataflow/fmpadding_rtl.py

@@ -271,10 +271,14 @@ class FMPadding_rtl(HLSCustomOp):
         }
         return code_gen_dict
 
-    def get_dynamic_config(self, ifm_dims, pads):
+    def get_dynamic_config(self, ifm_dims=None, pads=None):
         """Returns a configuration dict to re-configure FM dimension and
         padding amounts during runtime."""
 
+        if ifm_dims is None:
+            ifm_dims = self.get_nodeattr("ImgDim")
+        if pads is None:
+            pads = self.get_nodeattr("Padding")
         chans = self.get_nodeattr("NumChannels")
         simd = self.get_nodeattr("SIMD")
         idt = self.get_input_datatype()