Merge branch 'feature/sparsity_annotation' into feature/depthwise_convolution

src/finn/core/modelwrapper.py

@@ -510,3 +510,41 @@ class ModelWrapper:
             qa.tensor_name = tensor_name
             qa.quant_parameter_tensor_names.append(dt)
             qnt_annotations.append(qa)
+
+    def get_tensor_sparsity(self, tensor_name):
+        """Returns the sparsity of a given tensor as dictionary."""
+        graph = self._model_proto.graph
+        qnt_annotations = graph.quantization_annotation
+        ret = util.get_by_name(qnt_annotations, tensor_name, "tensor_name")
+        if ret is not None:
+            ret = util.get_by_name(
+                ret.quant_parameter_tensor_names, "tensor_sparsity", "key"
+            )
+            if ret is not None:
+                return eval(ret.value)
+        return None
+
+    def set_tensor_sparsity(self, tensor_name, sparsity_dict):
+        """Sets the sparsity annotation of a tensor with given name."""
+        graph = self._model_proto.graph
+        qnt_annotations = graph.quantization_annotation
+        ret = util.get_by_name(qnt_annotations, tensor_name, "tensor_name")
+        if ret is not None:
+            ret_ts = util.get_by_name(
+                ret.quant_parameter_tensor_names, "tensor_sparsity", "key"
+            )
+            if ret_ts is not None:
+                ret_ts.value = str(sparsity_dict)
+            else:
+                ts = onnx.StringStringEntryProto()
+                ts.key = "tensor_sparsity"
+                ts.value = str(sparsity_dict)
+                ret.quant_parameter_tensor_names.append(ts)
+        else:
+            qa = onnx.TensorAnnotation()
+            dt = onnx.StringStringEntryProto()
+            dt.key = "tensor_sparsity"
+            dt.value = str(sparsity_dict)
+            qa.tensor_name = tensor_name
+            qa.quant_parameter_tensor_names.append(dt)
+            qnt_annotations.append(qa)

tests/core/test_modelwrapper.py

@@ -73,6 +73,11 @@ def test_modelwrapper():
     inp_layout = DataLayout.NCHW
     model.set_tensor_layout(inp_name, inp_layout)
     assert model.get_tensor_layout(inp_name) == inp_layout
+    inp_sparsity = model.get_tensor_sparsity(inp_name)
+    assert inp_sparsity is None
+    inp_sparsity = {"dw": {"kernel_shape": 3}}
+    model.set_tensor_sparsity(inp_name, inp_sparsity)
+    assert model.get_tensor_sparsity(inp_name) == inp_sparsity
     os.remove(export_onnx_path)