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diff --git a/runtime/contrib/pure_arm_compute/src/internal/Sinks.h b/runtime/contrib/pure_arm_compute/src/internal/Sinks.h
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+++ b/runtime/contrib/pure_arm_compute/src/internal/Sinks.h
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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.
+ */
+
+/**
+ * @file        Sinks.h
+ * @brief       This file contains TensorSink class
+ * @ingroup     COM_AI_RUNTIME
+ */
+
+#ifndef __INTERNAL_SINKS_H__
+#define __INTERNAL_SINKS_H__
+
+#include "internal/Sink.h"
+
+// TODO Extract TensorSink into TensorSink.h
+//
+// TensorSink
+//
+#include "internal/Swizzle.h"
+
+#include "internal/nnapi/tensor/View.h"
+#include "internal/arm_compute/tensor/View.h"
+
+#include "misc/tensor/IndexIterator.h"
+
+/**
+ * @brief Class to store NN model output data for general-shaped tensors.
+ * This is for pulling data to internal tensor from other tensor.
+ * @tparam T Type of the data elements
+ */
+template <typename T> class TensorSink final : public Sink
+{
+public:
+  /**
+   * @brief Construct a TensorSink object
+   *
+   * @param[in] shape general-shaped tensor dimensions
+   * @param[in] base Base pointer of the actual data
+   * @param[in] size Size of the data
+   */
+  TensorSink(const nnfw::misc::tensor::Shape &shape, T *base, const size_t size)
+      : _shape{shape}, _base{base}, _size{size}
+  {
+    // DO NOTHING
+  }
+
+public:
+  /**
+   * @brief Pull the data into the internal structure
+   * @param[in] tensor The tensor which contains source data
+   * @return N/A
+   */
+  void pull(::arm_compute::ITensor &tensor) const override
+  {
+    const ::internal::arm_compute::tensor::View<T> from{&tensor};
+    ::internal::nnapi::tensor::View<T> into{_shape, _base, _size};
+
+    using ::nnfw::misc::tensor::iterate;
+    using ::nnfw::misc::tensor::Index;
+
+    const uint32_t rank = _shape.rank();
+
+    ::nnfw::misc::tensor::iterate(_shape) << [&](const Index &raw) {
+      Index permuted(raw.rank());
+
+      for (uint32_t axis = 0; axis < rank; ++axis)
+      {
+        permuted.at(ToARMComputeAxis(rank, axis).value()) = raw.at(axis);
+      }
+
+      const auto value = from.at(permuted);
+      into.at(raw) = value;
+    };
+  }
+
+private:
+  const nnfw::misc::tensor::Shape _shape;
+
+private:
+  T *const _base;
+  const size_t _size;
+};
+
+#endif // __INTERNAL_SINKS_H__