Updated finn-base commit and refactored changed function names.

docker/Dockerfile.finn

@@ -86,7 +86,7 @@ RUN pip install -e git+https://github.com/fbcotter/dataset_loading.git@0.0.4#egg
 
 # git-based Python repo dependencies
 # these are installed in editable mode for easier co-development
-ARG FINN_BASE_COMMIT="831073dc94d8788197e0e9a28e989bfcb9248045"
+ARG FINN_BASE_COMMIT="686639de94f96f02fef794a693a295591d3f25c6"
 ARG QONNX_COMMIT="6d55dce220c7f744ef23585686460b9370b672a0"
 ARG FINN_EXP_COMMIT="f82c0d9868bb88ea045dfadb28508d327d287221"
 ARG BREVITAS_COMMIT="5b22551871d25bf5e26917fe5900fcaa49406faf"

src/finn/transformation/qonnx/convert_qonnx_to_finn.py

@@ -40,7 +40,7 @@ from finn.transformation.qonnx.quant_act_to_multithreshold import (
     ConvertQuantActToMultiThreshold,
     default_filter_function_generator,
 )
-from finn.transformation.remove import RemoveEmptyPadding
+from finn.transformation.remove import RemoveIdentityOps
 
 
 class ConvertQONNXtoFINN(Transformation):
@@ -94,6 +94,6 @@ class ConvertQONNXtoFINN(Transformation):
         # Convert AvgPool -> Mul -> Trunc structure to QuantAvgPool2d
         model = model.transform(AvgPoolAndTruncToQuantAvgPool())
         # Remove empty padding if it exists
-        model = model.transform(RemoveEmptyPadding())
+        model = model.transform(RemoveIdentityOps())
 
         return model, False

src/finn/transformation/qonnx/fold_quant_weights.py

@@ -123,7 +123,7 @@ class FoldQuantWeights(Transformation):
                         new_initializer = np.round(new_initializer)
                         model.set_initializer(node_out, new_initializer)
                         q_inst = getCustomOp(n)
-                        new_dtype = q_inst.get_internal_dtype(model)
+                        new_dtype = q_inst.get_integer_datatype(model)
                         model.set_tensor_datatype(node_out, new_dtype)
 
                         # Reshape scale for Conv if required

src/finn/transformation/qonnx/qonnx_activation_handlers.py

@@ -96,7 +96,7 @@ class QuantActBaseHandler(ABC):
     def _extract_output_datatype(self):
         """Get the output datatype for the MultiThreshold node."""
         q_inst = getCustomOp(self._q_node)
-        dtype = q_inst.get_internal_dtype(self._model)
+        dtype = q_inst.get_integer_datatype(self._model)
         dtype = dtype.name
         return dtype