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diff --git a/runtimes/libs/ARMComputeEx/arm_compute/runtime/NEON/functions/NEFullyConnectedReshapingLayer.h b/runtimes/libs/ARMComputeEx/arm_compute/runtime/NEON/functions/NEFullyConnectedReshapingLayer.h
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+++ b/runtimes/libs/ARMComputeEx/arm_compute/runtime/NEON/functions/NEFullyConnectedReshapingLayer.h
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+/*
+ * Copyright (c) 2019 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.
+ */
+
+/**
+ * @file        NEFullyConnectedReshapingLayer.h
+ * @brief       This file contains NEFullyConnectedReshapingLayer class
+ * @ingroup     COM_AI_RUNTIME
+ */
+
+#ifndef __ARM_COMPUTE_NE_FULLY_CONNECTED_RESHAPING_LAYER_H__
+#define __ARM_COMPUTE_NE_FULLY_CONNECTED_RESHAPING_LAYER_H__
+
+#include <arm_compute/runtime/NEON/functions/NEReshapeLayer.h>
+#include <arm_compute/runtime/NEON/functions/NEFullyConnectedLayer.h>
+#include <arm_compute/runtime/IMemoryManager.h>
+
+namespace arm_compute
+{
+/**
+ * @brief Class to run FullyConnected Layer after reshaping input tensor
+ */
+class NEFullyConnectedReshapingLayer : public arm_compute::IFunction
+{
+public:
+  NEFullyConnectedReshapingLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr)
+      : _input(nullptr), _weights(nullptr), _biases(nullptr), _output(nullptr), _neon_buffer{},
+        _neon_fc{memory_manager}, _neon_reshape{}, _needs_reshape(false)
+  {
+    // DO NOTHING
+  }
+
+public:
+  /**
+   * @brief Configure the layer
+   * @param[in] input The source tensor
+   * @param[in] weights The tensor that is filled with weight values
+   * @param[in] biases The tensor that is filled with biase values
+   * @param[in] output The destination tensor
+   * @param[in] needs_reshape Whether it needs to be reshaped or not
+   * @param[in] reshape The tensor shape to be reshaped. Only valid when needs_reshape is true.
+   * @return N/A
+   */
+  void configure(const arm_compute::ITensor *input, const arm_compute::ITensor *weights,
+                 const arm_compute::ITensor *biases, arm_compute::ITensor *output,
+                 bool needs_reshape, const arm_compute::TensorShape &reshape);
+
+public:
+  /**
+   * @brief Run the operation. Must be called after configure().
+   * @return N/A
+   */
+  void run(void) override;
+
+private:
+  const arm_compute::ITensor *_input;
+  const arm_compute::ITensor *_weights;
+  const arm_compute::ITensor *_biases;
+  arm_compute::ITensor *_output;
+
+  // buffer for reshaping input tensor
+  arm_compute::Tensor _neon_buffer;
+
+private:
+  arm_compute::NEFullyConnectedLayer _neon_fc;
+  NEReshapeLayer _neon_reshape;
+  bool _needs_reshape;
+};
+} // namespace arm_compute
+
+#endif // __ARM_COMPUTE_NE_FULLY_CONNECTED_RESHAPING_LAYER_H__