[CheckSum] Renamed customop

src/finn/custom_op/fpgadataflow/__init__.py

@@ -28,7 +28,7 @@
 
 from finn.custom_op.fpgadataflow.addstreams_batch import AddStreams_Batch
 from finn.custom_op.fpgadataflow.channelwise_op_batch import ChannelwiseOp_Batch
-from finn.custom_op.fpgadataflow.checksum import checksum
+from finn.custom_op.fpgadataflow.checksum import CheckSum
 from finn.custom_op.fpgadataflow.concat import StreamingConcat
 from finn.custom_op.fpgadataflow.convolutioninputgenerator import (
     ConvolutionInputGenerator,
@@ -84,4 +84,4 @@ custom_op["StreamingDataflowPartition"] = StreamingDataflowPartition
 custom_op["UpsampleNearestNeighbour_Batch"] = UpsampleNearestNeighbour_Batch
 custom_op["Lookup"] = Lookup
 custom_op["StreamingConcat"] = StreamingConcat
-custom_op["checksum"] = checksum
+custom_op["CheckSum"] = CheckSum

src/finn/custom_op/fpgadataflow/checksum.py

@@ -35,7 +35,7 @@ from finn.custom_op.fpgadataflow.hlscustomop import HLSCustomOp
 from finn.util.data_packing import npy_to_rtlsim_input, rtlsim_output_to_npy
 
 
-class checksum(HLSCustomOp):
+class CheckSum(HLSCustomOp):
     """Class that corresponds to custom_hls checksum function."""
 
     def __init__(self, onnx_node):

src/finn/transformation/fpgadataflow/insert_hook.py

@@ -37,7 +37,7 @@ from finn.util.fpgadataflow import is_fpgadataflow_node
 
 
 def _is_hook_node(node):
-    if node.op_type in ["checksum"]:
+    if node.op_type in ["CheckSum"]:
         return True
     else:
         return False
@@ -82,7 +82,7 @@ class InsertHook(Transformation):
                     if n0_hook in list_supported_hooks:
                         if n0_hook == "checksum":
                             if len(consumers) == 1:
-                                if consumers[0].op_type == "checksum":
+                                if consumers[0].op_type == "CheckSum":
                                     continue
                             n0_normal_oshape = n0.get_normal_output_shape()
                             n0_folded_oshape = n0.get_folded_output_shape()
@@ -100,7 +100,7 @@ class InsertHook(Transformation):
                                 [1],
                             )
                             chk_node = oh.make_node(
-                                "checksum",
+                                "CheckSum",
                                 [output_name],
                                 outputs=[chk_otensor.name, chk_result.name],
                                 domain="finn.custom_op.fpgadataflow",