From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001
From: Anthony Barbier <anthony.barbier@arm.com>
Date: Mon, 4 Sep 2017 18:44:23 +0100
Subject: COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
---
 tests/RawTensor.cpp | 180 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 180 insertions(+)
 create mode 100644 tests/RawTensor.cpp

(limited to 'tests/RawTensor.cpp')

diff --git a/tests/RawTensor.cpp b/tests/RawTensor.cpp
new file mode 100644
index 0000000000..6bfdf57b36
--- /dev/null
+++ b/tests/RawTensor.cpp
@@ -0,0 +1,180 @@
+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "RawTensor.h"
+
+#include "Utils.h"
+
+#include "arm_compute/core/Utils.h"
+
+#include <algorithm>
+#include <array>
+#include <functional>
+#include <stdexcept>
+#include <utility>
+
+namespace arm_compute
+{
+namespace test
+{
+RawTensor::RawTensor(TensorShape shape, Format format, int fixed_point_position)
+    : _buffer(nullptr),
+      _shape(shape),
+      _format(format),
+      _fixed_point_position(fixed_point_position)
+{
+    _buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(size());
+}
+
+RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels, int fixed_point_position)
+    : _buffer(nullptr),
+      _shape(shape),
+      _data_type(data_type),
+      _num_channels(num_channels),
+      _fixed_point_position(fixed_point_position)
+{
+    _buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(size());
+}
+
+RawTensor::RawTensor(const RawTensor &tensor)
+    : _buffer(nullptr),
+      _shape(tensor.shape()),
+      _format(tensor.format()),
+      _fixed_point_position(tensor.fixed_point_position())
+{
+    _buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(tensor.size());
+    std::copy(tensor.data(), tensor.data() + size(), _buffer.get());
+}
+
+RawTensor &RawTensor::operator=(RawTensor tensor)
+{
+    swap(*this, tensor);
+
+    return *this;
+}
+
+RawTensor::BufferType &RawTensor::operator[](size_t offset)
+{
+    return _buffer[offset];
+}
+
+const RawTensor::BufferType &RawTensor::operator[](size_t offset) const
+{
+    return _buffer[offset];
+}
+
+TensorShape RawTensor::shape() const
+{
+    return _shape;
+}
+
+size_t RawTensor::element_size() const
+{
+    return num_channels() * element_size_from_data_type(data_type());
+}
+
+int RawTensor::fixed_point_position() const
+{
+    return _fixed_point_position;
+}
+
+size_t RawTensor::size() const
+{
+    const size_t size = std::accumulate(_shape.cbegin(), _shape.cend(), 1, std::multiplies<size_t>());
+    return size * element_size();
+}
+
+Format RawTensor::format() const
+{
+    return _format;
+}
+
+DataType RawTensor::data_type() const
+{
+    if(_format != Format::UNKNOWN)
+    {
+        return data_type_from_format(_format);
+    }
+    else
+    {
+        return _data_type;
+    }
+}
+
+int RawTensor::num_channels() const
+{
+    switch(_format)
+    {
+        case Format::U8:
+        case Format::S16:
+        case Format::U16:
+        case Format::S32:
+        case Format::U32:
+            return 1;
+        case Format::RGB888:
+            return 3;
+        case Format::UNKNOWN:
+            return _num_channels;
+        default:
+            ARM_COMPUTE_ERROR("NOT SUPPORTED!");
+    }
+}
+
+int RawTensor::num_elements() const
+{
+    return _shape.total_size();
+}
+
+const RawTensor::BufferType *RawTensor::data() const
+{
+    return _buffer.get();
+}
+
+RawTensor::BufferType *RawTensor::data()
+{
+    return _buffer.get();
+}
+
+const RawTensor::BufferType *RawTensor::operator()(const Coordinates &coord) const
+{
+    return _buffer.get() + coord2index(_shape, coord) * element_size();
+}
+
+RawTensor::BufferType *RawTensor::operator()(const Coordinates &coord)
+{
+    return _buffer.get() + coord2index(_shape, coord) * element_size();
+}
+
+void swap(RawTensor &tensor1, RawTensor &tensor2)
+{
+    // Use unqualified call to swap to enable ADL. But make std::swap available
+    // as backup.
+    using std::swap;
+    swap(tensor1._shape, tensor2._shape);
+    swap(tensor1._format, tensor2._format);
+    swap(tensor1._data_type, tensor2._data_type);
+    swap(tensor1._num_channels, tensor2._num_channels);
+    swap(tensor1._buffer, tensor2._buffer);
+}
+} // namespace test
+} // namespace arm_compute
-- 
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