1 files changed, 71 insertions, 0 deletions
diff --git a/runtime/onert/backend/cpu/ops/AddNLayer.cc b/runtime/onert/backend/cpu/ops/AddNLayer.cc
new file mode 100644
index 000000000..5c0395dcc
--- /dev/null
+++ b/runtime/onert/backend/cpu/ops/AddNLayer.cc
@@ -0,0 +1,71 @@
+/*
+ * Copyright (c) 2020 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 "AddNLayer.h"
+
+#include "OperationUtils.h"
+
+#include <cker/operation/AddN.h>
+#include <assert.h>
+
+namespace onert
+{
+namespace backend
+{
+namespace cpu
+{
+namespace ops
+{
+
+void AddNLayer::configure(std::vector<const IPortableTensor *> &&inputs, IPortableTensor *output)
+{
+  _inputs = std::move(inputs);
+  _output = output;
+}
+
+void AddNLayer::run()
+{
+  size_t input_size = _inputs.size();
+  if (_output->data_type() == ir::DataType::INT32)
+  {
+    std::vector<const int32_t *> input_buffers(input_size);
+    for (size_t i = 0; i < input_size; i++)
+    {
+      input_buffers[i] = reinterpret_cast<int32_t *>(_inputs[i]->buffer());
+    }
+    AddN(getTensorShape(_inputs[0]), input_size, input_buffers.data(),
+         reinterpret_cast<int32_t *>(_output->buffer()));
+  }
+  else if (_output->data_type() == ir::DataType::FLOAT32)
+  {
+    std::vector<const float *> input_buffers(input_size);
+    for (size_t i = 0; i < input_size; i++)
+    {
+      input_buffers[i] = reinterpret_cast<float *>(_inputs[i]->buffer());
+    }
+    AddN(getTensorShape(_inputs[0]), input_size, input_buffers.data(),
+         reinterpret_cast<float *>(_output->buffer()));
+  }
+  else
+  {
+    throw std::runtime_error("AddN: unsupported data type");
+  }
+}
+
+} // namespace ops
+} // namespace cpu
+} // namespace backend
+} // namespace onert