diff --git a/src/finn/core/onnx_exec.py b/src/finn/core/onnx_exec.py
index ebb5ee6d4470757127972297aec00f2a92fe4023..2da307ac60dc378c59deb31f221e794def803d73 100644
--- a/src/finn/core/onnx_exec.py
+++ b/src/finn/core/onnx_exec.py
@@ -41,7 +41,8 @@ def execute_node(node, context, graph):
     """Executes a single node by using onnxruntime, with custom function or
     if dataflow partition by using remote execution or rtlsim.
     
-    * Input/output provided via context."""
+    * Input/output provided via context.
+    """
 
     if node.op_type == "StreamingDataflowPartition":
         sdp_node = getCustomOp(node)
@@ -102,7 +103,8 @@ def execute_onnx(model, input_dict, return_full_exec_context=False):
     
     * If return return_full_exec_context is True, the full set of tensors used by
     the execution (including inputs, weights, activations and final outputs)
-    will be returned as a dict."""
+    will be returned as a dict.
+    """
 
     if not model.check_all_tensor_shapes_specified():
         raise Exception("Found unspecified tensor shapes, try infer_shapes")
diff --git a/src/finn/custom_op/fpgadataflow/__init__.py b/src/finn/custom_op/fpgadataflow/__init__.py
index 7ae9d982fe04930188ec6cc4fb0b53f133703298..e5fe7516b51fa27a7fe23de32b7815e5e33450a1 100644
--- a/src/finn/custom_op/fpgadataflow/__init__.py
+++ b/src/finn/custom_op/fpgadataflow/__init__.py
@@ -329,7 +329,8 @@ compilation transformations?
         
         * var: makes it possible to reuse the function for different c++ code generation.
         I.e. if set to "ipgen" in StreamingFCLayer_Batch additional PRAGMA defines are
-        added."""
+        added.
+        """
         pass
 
     @abstractmethod