diff --git a/src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py b/src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py index 7e098fd705055047f9987a20628d128fe82fe105..2ef5d350fb972e448b9a3745eb8c98197ab87d94 100644 --- a/src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py +++ b/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")] diff --git a/src/finn/custom_op/fpgadataflow/streamingdatawidthconverter_batch.py b/src/finn/custom_op/fpgadataflow/streamingdatawidthconverter_batch.py index 1d9a10804f81f4039316daac2ca74c212cbbce6e..5e4c99aa41216b05f66da8341870269c620c6c40 100644 --- a/src/finn/custom_op/fpgadataflow/streamingdatawidthconverter_batch.py +++ b/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"'] diff --git a/src/finn/custom_op/fpgadataflow/streamingmaxpool_batch.py b/src/finn/custom_op/fpgadataflow/streamingmaxpool_batch.py index 9b9f7bcead9f0063fa646bb4beb2bc886a9526c7..a7c2d5166b6af41327abcfeaa5cb5ae25fd23856 100644 --- a/src/finn/custom_op/fpgadataflow/streamingmaxpool_batch.py +++ b/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"']