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diff --git a/runtimes/neurun/src/exec/Source.h b/runtimes/neurun/src/exec/Source.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.
+ */
+
+#ifndef __NEURUN_EXEC_SOURCE_H__
+#define __NEURUN_EXEC_SOURCE_H__
+
+#include <cassert>
+
+#include <arm_compute/runtime/CL/CLTensor.h>
+
+#include <util/feature/Shape.h>
+#include <util/feature/IndexIterator.h>
+
+#include "backend/cpu/operand/Tensor.h" // TODO Remove this dependency to backend
+#include "internal/nnapi/feature/Reader.h"
+#include "internal/nnapi/feature/View.h"
+
+#include "backend/acl_cl/feature/View.h"
+
+namespace neurun
+{
+namespace exec
+{
+
+struct Source
+{
+  virtual ~Source() = default;
+
+  virtual void push(::arm_compute::ITensor &tensor) const = 0;
+};
+
+//
+// VectorSource
+//
+class VectorSource final : public Source
+{
+public:
+  VectorSource(const int32_t vlen, const uint8_t *base, const size_t size)
+      : _vlen{vlen}, _base{base}
+  {
+    (void)size; // Workaround for unused variable in release mode
+    assert(size >= _vlen * sizeof(float));
+  }
+
+public:
+  void push(::arm_compute::ITensor &tensor) const override
+  {
+    auto base = reinterpret_cast<const float *>(_base);
+
+    for (int32_t n = 0; n < _vlen; ++n)
+    {
+      auto from = base + n;
+      auto into = reinterpret_cast<float *>(tensor.ptr_to_element(::arm_compute::Coordinates{n}));
+
+      *into = *from;
+    }
+  }
+
+private:
+  const int32_t _vlen;
+  const uint8_t *const _base;
+};
+
+//
+// FeatureSource
+//
+class FeatureSource final : public Source
+{
+public:
+  FeatureSource(const nnfw::util::feature::Shape &shape, const uint8_t *base, const size_t size)
+      : _shape{shape}, _base{base}, _size{size}
+  {
+    // DO NOTHING
+  }
+
+public:
+  void push(::arm_compute::ITensor &tensor) const override
+  {
+    // TODO: This is just workaround codes, It needs to refactor.
+    if (typeid(tensor) == typeid(neurun::backend::cpu::operand::Tensor))
+    {
+      const ::internal::nnapi::feature::Reader<float> from{_shape, _base, _size};
+      ::internal::nnapi::feature::View<float> into{_shape, tensor.buffer(), _size};
+
+      ::nnfw::util::feature::iterate(_shape)
+          << [&](uint32_t bat, uint32_t ch, uint32_t row, uint32_t col) {
+               const auto value = from.at(bat, ch, row, col);
+               into.at(bat, ch, row, col) = value;
+             };
+    }
+    else if (typeid(tensor) == typeid(::arm_compute::CLTensor))
+    {
+      const ::internal::nnapi::feature::Reader<float> from{_shape, _base, _size};
+      ::internal::arm_compute::feature::View<float> into{&tensor};
+
+      ::nnfw::util::feature::iterate(_shape)
+          << [&](uint32_t bat, uint32_t ch, uint32_t row, uint32_t col) {
+               const auto value = from.at(bat, ch, row, col);
+               into.at(bat, ch, row, col) = value;
+             };
+    }
+  }
+
+private:
+  const nnfw::util::feature::Shape _shape;
+  const uint8_t *const _base;
+  const size_t _size;
+};
+
+} // namespace exec
+} // namespace neurun
+
+#endif // __NEURUN_EXEC_SOURCE_H__