1 files changed, 59 insertions, 0 deletions
diff --git a/runtimes/neurun/src/model/operation/ConcatNode.cc b/runtimes/neurun/src/model/operation/ConcatNode.cc
new file mode 100644
index 000000000..23cfef294
--- /dev/null
+++ b/runtimes/neurun/src/model/operation/ConcatNode.cc
@@ -0,0 +1,59 @@
+/*
+ * Copyright (c) 2018 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 "ConcatNode.h"
+
+#include <cassert>
+
+#include "NodeVisitor.h"
+
+namespace neurun
+{
+namespace model
+{
+namespace operation
+{
+
+void ConcatNode::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+ConcatNode::ConcatNode(const model::operation::Node::InitParam &init_param)
+    : model::operation::Node{OperandConstraint::createAtLeast(2u)}
+{
+  assert(init_param.input_count >= 2); // At least one one input tensor and axis
+  assert(init_param.output_count == 1);
+
+  // When there are N + 1 inputs, each input should be interpreted as follows:
+  //
+  //  [0, N) -> Input tensors
+  //  N -> Axis
+  //
+
+  {
+    operand::IndexSet inds;
+    for (uint32_t n = 0; n < init_param.input_count - 1; ++n)
+    {
+      inds.append(operand::Index{init_param.inputs[n]});
+    }
+    setInputs(inds);
+  }
+  setOutputs({init_param.outputs[0]});
+
+  _param.axis_index = operand::Index{init_param.inputs[init_param.input_count - 1]};
+}
+
+} // namespace operation
+} // namespace model
+} // namespace neurun