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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 MatrixSink.h
+ * @ingroup COM_AI_RUNTIME
+ * @brief This file defines MatrixSink class
+ */
+#ifndef __INTERNAL_MATRIX_SINK_H__
+#define __INTERNAL_MATRIX_SINK_H__
+
+#include "internal/Sink.h"
+
+#include <arm_compute/core/ITensor.h>
+#include <arm_compute/core/Window.h>
+#include <arm_compute/core/Helpers.h>
+
+#include <cstdint>
+#include <cstring>
+#include <cassert>
+
+/**
+ * @brief Class to get matrix data from arm compute tensor
+ */
+template <typename T> class MatrixSink final : public Sink
+{
+public:
+ /**
+ * @brief Construct a new Matrix Sink object
+ * @param[in] H Height of matrix
+ * @param[in] W Width of matrix
+ * @param[in] base Pointer to get data
+ * @param[in] size Size of matrix
+ */
+ MatrixSink(const int32_t H, const int32_t W, T *base, const size_t size)
+ : _height{H}, _width{W}, _base{base}
+ {
+ assert(size >= _height * _width * sizeof(T));
+ }
+
+public:
+ /**
+ * @brief Get matrix data from arm compute tensor to base
+ * @param[in] tensor Tensor object of arm compute to get data
+ * @return N/A
+ */
+ void pull(::arm_compute::ITensor &tensor) const override
+ {
+ assert(tensor.info()->dimension(0) == _width);
+ assert(tensor.info()->dimension(1) == _height);
+
+ using ::arm_compute::Window;
+ using ::arm_compute::Iterator;
+ using ::arm_compute::Coordinates;
+ using ::arm_compute::execute_window_loop;
+
+ Window window;
+
+ window.use_tensor_dimensions(tensor.info()->tensor_shape(), ::arm_compute::Window::DimY);
+
+ Iterator it(&tensor, window);
+ execute_window_loop(window,
+ [&](const ::arm_compute::Coordinates &id) {
+ const auto row = id.y();
+ memcpy(_base + row * _width, it.ptr(), _width * sizeof(T));
+ },
+ it);
+ }
+
+private:
+ const int32_t _height;
+ const int32_t _width;
+
+private:
+ T *const _base;
+};
+
+#endif // __INTERNAL_MATRIX_SINK_H__