diff --git a/src/finn/transformation/__init__.py b/src/finn/transformation/__init__.py
index 3ddce04c11db01b2f6722bc843f0107621630936..c3b37661a1b9fe2bcca71a46d1679a644ade9180 100644
--- a/src/finn/transformation/__init__.py
+++ b/src/finn/transformation/__init__.py
@@ -23,6 +23,8 @@ from abc import ABC, abstractmethod
 
 
 class Transformation(ABC):
+    """Transformation class all transformations are based on. Contains only 
+    abstract method apply() every transformation has to fill."""
     def __init__(self):
         super().__init__()
 
diff --git a/src/finn/transformation/fpgadataflow/codegen_ipgen.py b/src/finn/transformation/fpgadataflow/codegen_ipgen.py
index 4e19127045ace29fd6c08e01ec98aebe92fce514..3cf2b5e8c2fa5b970871783ac754ee291efc3c9e 100644
--- a/src/finn/transformation/fpgadataflow/codegen_ipgen.py
+++ b/src/finn/transformation/fpgadataflow/codegen_ipgen.py
@@ -33,7 +33,9 @@ class CodeGen_ipgen(Transformation):
     and create folder that contains all the generated files.
     All nodes in the graph must have the fpgadataflow backend attribute and 
     transformation gets additional arguments:
+    
     * fpgapart (string)
+    
     * clk in ns (int)
 
     Outcome if succesful: Node attribute "code_gen_dir_ipgen" contains path to folder 
diff --git a/src/finn/transformation/fpgadataflow/codegen_ipstitch.py b/src/finn/transformation/fpgadataflow/codegen_ipstitch.py
index a39b3c439db4ac4cbc1f2c2e9a39993e9adbc447..7fe8b81c34365bdd8e28fbfa0ac4feed295199db 100644
--- a/src/finn/transformation/fpgadataflow/codegen_ipstitch.py
+++ b/src/finn/transformation/fpgadataflow/codegen_ipstitch.py
@@ -9,7 +9,8 @@ class CodeGen_ipstitch(Transformation):
     """Create a Vivado IP Block Design project from all the generated IPs of a
     graph. All nodes in the graph must have the fpgadataflow backend attribute,
     and the CodeGen_ipgen transformation must have been previously run on
-    the graph. The resulting block design is also packaged as IP.
+    the graph. The resulting block design is also packaged as IP. The 
+    transformation gets the fpgapart as a string.
 
     Outcome if successful: sets the vivado_stitch_proj attribute in the ONNX
     ModelProto's metadata_props field, with the created project dir as the
diff --git a/src/finn/transformation/fpgadataflow/make_deployment.py b/src/finn/transformation/fpgadataflow/make_deployment.py
index 98009d8c083694512ca8e9e40ede00595d091792..79829260dc2a79199395cfbda10613a24a7fe071 100644
--- a/src/finn/transformation/fpgadataflow/make_deployment.py
+++ b/src/finn/transformation/fpgadataflow/make_deployment.py
@@ -10,9 +10,9 @@ from finn.util.basic import make_build_dir
 class DeployToPYNQ(Transformation):
     """Collects all necessary files for deployment and copies them to the PYNQ board.
     Expects information about PYNQ board to make scp possible:
-    * ip address of board
-    * username and password for board
-    * target directory where the files are stored on the board"""
+    
+    IP address of board, username and password for board and target directory where 
+    the files are stored on the board"""
 
     def __init__(self, ip, username, password, target_dir):
         super().__init__()