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diff --git a/runtime/contrib/pure_arm_compute/src/internal/op/L2Pool2D.cc b/runtime/contrib/pure_arm_compute/src/internal/op/L2Pool2D.cc
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+/*
+ * 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 "internal/op/L2Pool2D.h"
+#include "internal/op/NodeVisitor.h"
+
+#include <cassert>
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace L2Pool2D
+{
+namespace Explicit
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+} // namespace Explicit
+
+namespace Implicit
+{
+
+void Node::accept(NodeVisitor &&v) const { v.visit(*this); }
+
+} // namespace Implicit
+} // namespace L2Pool2D
+} // namespace op
+} // namespace tflite
+} // namespace internal
+
+namespace internal
+{
+namespace tflite
+{
+namespace op
+{
+namespace L2Pool2D
+{
+namespace Explicit
+{
+
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
+ const uint32_t *outputs)
+{
+ assert(inputCount == 10 && outputCount == 1);
+
+ ofm_index = outputs[0];
+
+ // Each input should be interpreted as follows:
+ //
+ // 0 -> IFM Tensor Index
+ // 1 -> Padding_left index
+ // 2 -> Padding_right index
+ // 3 -> Padding_top index
+ // 4 -> Padding_bottom index
+ // 5 -> Horizontal (over width) Stride Index
+ // 6 -> Vertial (over height) Stride Index
+ // 7 -> Filter Width Index
+ // 8 -> Filter Height Index
+ // 9 -> FuseCode (activation) Index
+ ifm_index = inputs[0];
+ padding_left_index = inputs[1];
+ padding_right_index = inputs[2];
+ padding_top_index = inputs[3];
+ padding_bottom_index = inputs[4];
+ hstride_index = inputs[5];
+ vstride_index = inputs[6];
+ kw_index = inputs[7];
+ kh_index = inputs[8];
+ activation_index = inputs[9];
+}
+
+} // namespace Explicit
+
+namespace Implicit
+{
+
+Param::Param(uint32_t inputCount, const uint32_t *inputs, uint32_t outputCount,
+ const uint32_t *outputs)
+{
+ assert(inputCount == 7 && outputCount == 1);
+
+ ofm_index = outputs[0];
+
+ // Each input should be interpreted as follows:
+ //
+ // 0 -> IFM Tensor Index
+ // 1 -> Padding Code (ANEURALNETWORKS_PADDING_SAME or ANEURALNETWORKS_PADDING_VALID) Index
+ // 2 -> Horizontal (over width) Stride Index
+ // 3 -> Vertial (over height) Stride Index
+ // 4 -> Filter Width Index
+ // 5 -> Filter Height Index
+ // 6 -> FuseCode (activation) Index
+ ifm_index = inputs[0];
+ padding_index = inputs[1];
+ hstride_index = inputs[2];
+ vstride_index = inputs[3];
+ kw_index = inputs[4];
+ kh_index = inputs[5];
+ activation_index = inputs[6];
+}
+
+} // namespace Implicit
+} // namespace L2Pool2D
+} // namespace op
+} // namespace tflite
+} // namespace internal