[HLSCustomOp] default to 0 for unspecified LUT/BRAM and not pass

src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py

@@ -132,12 +132,6 @@ class ConvolutionInputGenerator(HLSCustomOp):
     def verify_node(self):
         pass
 
-    def bram_estimation(self):
-        pass
-
-    def lut_estimation(self):
-        pass
-
     def get_input_datatype(self):
         """Returns FINN DataType of input."""
         return DataType[self.get_nodeattr("inputDataType")]

src/finn/custom_op/fpgadataflow/streamingdatawidthconverter_batch.py

@@ -28,6 +28,7 @@
 
 import os
 import numpy as np
+
 try:
     from pyverilator import PyVerilator
 except ModuleNotFoundError:
@@ -209,12 +210,6 @@ class StreamingDataWidthConverter_Batch(HLSCustomOp):
 
         return info_messages
 
-    def bram_estimation(self):
-        pass
-
-    def lut_estimation(self):
-        pass
-
     def global_includes(self):
         self.code_gen_dict["$GLOBALS$"] = ['#include "streamtools.h"']
 

src/finn/custom_op/fpgadataflow/streamingmaxpool_batch.py

@@ -150,12 +150,6 @@ class StreamingMaxPool_Batch(HLSCustomOp):
 
         return info_messages
 
-    def bram_estimation(self):
-        pass
-
-    def lut_estimation(self):
-        pass
-
     def global_includes(self):
         self.code_gen_dict["$GLOBALS$"] = ['#include "maxpool.h"']