1 files changed, 54 insertions, 0 deletions
diff --git a/compiler/luci-interpreter/src/loader/nodes/Sum.cpp b/compiler/luci-interpreter/src/loader/nodes/Sum.cpp
new file mode 100644
index 000000000..6dfe362c9
--- /dev/null
+++ b/compiler/luci-interpreter/src/loader/nodes/Sum.cpp
@@ -0,0 +1,54 @@
+/*
+ * Copyright (c) 2023 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "Builders.h"
+
+#include "kernels/Sum.h"
+
+namespace luci_interpreter
+{
+
+std::unique_ptr<Kernel> build_kernel_CircleSum(const luci::CircleNode *circle_node,
+                                               KernelBuilderHelper &helper)
+{
+  const auto *node = loco::must_cast<const luci::CircleSum *>(circle_node);
+  assert(node->arity() == 2);
+
+  const Tensor *input = helper.getInputTensor(node->input());
+  const Tensor *axes = helper.getInputTensor(node->reduction_indices());
+  Tensor *output = helper.getOutputTensor(node);
+
+  auto temp_index_unique =
+    std::make_unique<Tensor>(DataType::S32, Shape({}), AffineQuantization{}, "");
+  temp_index_unique->set_observable(false);
+  temp_index_unique->set_data_buffer(nullptr);
+  Tensor *temp_index =
+    helper.getRuntimeGraph(node->graph())->addTensor(std::move(temp_index_unique));
+
+  auto resolved_axes_unique =
+    std::make_unique<Tensor>(DataType::S32, Shape({}), AffineQuantization{}, "");
+  resolved_axes_unique->set_observable(false);
+  resolved_axes_unique->set_data_buffer(nullptr);
+  Tensor *resolved_axes =
+    helper.getRuntimeGraph(node->graph())->addTensor(std::move(resolved_axes_unique));
+
+  ReducerParams params{};
+  params.keep_dims = node->keep_dims();
+
+  return std::make_unique<kernels::Sum>(input, axes, output, temp_index, resolved_axes, params);
+}
+
+} // namespace luci_interpreter