1 files changed, 79 insertions, 0 deletions
diff --git a/runtimes/neurun/src/graph/operation/Conv2D.cc b/runtimes/neurun/src/graph/operation/Conv2D.cc
new file mode 100644
index 000000000..f88955db1
--- /dev/null
+++ b/runtimes/neurun/src/graph/operation/Conv2D.cc
@@ -0,0 +1,79 @@
+/*
+ * 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 "Conv2D.h"
+
+#include <cassert>
+
+#include "NodeVisitor.h"
+#include "LowerInfo.h"
+
+namespace neurun
+{
+namespace graph
+{
+namespace operation
+{
+namespace Conv2D
+{
+namespace Implicit
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+Node::Node(const graph::operation::Node::InitParam &init_param)
+{
+  assert(init_param.input_count == 7 && init_param.output_count == 1);
+
+  // Each input should be interpreted as follows:
+  //
+  //
+  //  0 -> IFM Tensor Index
+  //  1 -> Kernel Tensor Index
+  //  2 -> Bias Tensor Index
+  //  3 -> Padding Code (ANEURALNETWORKS_PADDING_SAME or ANEURALNETWORKS_PADDING_VALID) Index
+  //  4 -> Stride (width) Index
+  //  5 -> Stride (height) INdex
+  //  6 -> Activation Index
+
+  setInputs({init_param.inputs[0], init_param.inputs[1], init_param.inputs[2]});
+  setOutputs({init_param.outputs[0]});
+
+  _param.padding_index = init_param.inputs[3];
+  _param.hstride_index = init_param.inputs[4];
+  _param.vstride_index = init_param.inputs[5];
+  _param.activation_index = init_param.inputs[6];
+}
+
+void Node::setInputs(const operand::IndexSet &indexes)
+{
+  assert(indexes.size() == 3);
+
+  graph::operation::Node::setInputs(indexes);
+}
+
+void Node::setOutputs(const operand::IndexSet &indexes)
+{
+  assert(indexes.size() == 1);
+
+  graph::operation::Node::setOutputs(indexes);
+}
+
+} // namespace Implicit
+} // namespace Conv2D
+} // namespace operation
+} // namespace graph
+} // namespace neurun