COMPMID-344 Updated doxygen

Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
diff --git a/tests/validation/NEON/Fixedpoint/Invsqrt_QS8.cpp b/tests/validation/NEON/Fixedpoint/Invsqrt_QS8.cpp
new file mode 100644
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+++ b/tests/validation/NEON/Fixedpoint/Invsqrt_QS8.cpp
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+/*
+ * 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 "Globals.h"
+#include "NEON/Helper.h"
+#include "NEON/NEAccessor.h"
+#include "TensorLibrary.h"
+#include "TypePrinter.h"
+#include "Utils.h"
+#include "validation/Datasets.h"
+#include "validation/ReferenceCPP.h"
+#include "validation/Validation.h"
+
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/NEON/NEFixedPoint.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "boost_wrapper.h"
+
+#include <random>
+#include <string>
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::neon;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+const float tolerance = 3; /**< Tolerance value for comparing reference's output against implementation's output */
+
+/** Compute Neon inverse square root function for signed 8bit fixed point.
+ *
+ * @param[in] shape Shape of the input and output tensors.
+ *
+ * @return Computed output tensor.
+ */
+Tensor compute_invsqrt_qs8(const TensorShape &shape, int fixed_point_position)
+{
+    // Create tensors
+    Tensor src = create_tensor(shape, DataType::QS8, 1, fixed_point_position);
+    Tensor dst = create_tensor(shape, DataType::QS8, 1, fixed_point_position);
+
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+    Window                 window                            = calculate_max_window(*src.info(), Steps(num_elems_processed_per_iteration));
+    AccessWindowHorizontal input_access(src.info(), 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal output_access(dst.info(), 0, num_elems_processed_per_iteration);
+
+    update_window_and_padding(window, input_access, output_access);
+    output_access.set_valid_region(window, src.info()->valid_region());
+
+    // Allocate tensors
+    src.allocator()->allocate();
+    dst.allocator()->allocate();
+
+    BOOST_TEST(!src.info()->is_resizable());
+    BOOST_TEST(!dst.info()->is_resizable());
+
+    // Fill tensors. Keep the range between (32, 127) so the result won't
+    // overflow. E.g. for Q2.5 invsqrt(0.001) = 31.6, which cannot be represented.
+    std::uniform_int_distribution<> distribution(32, 127);
+    library->fill(NEAccessor(src), distribution, 0);
+
+    Iterator input(&src, window);
+    Iterator output(&dst, window);
+
+    execute_window_loop(window, [&](const Coordinates & id)
+    {
+        qint8x16_t in = vld1q_s8(reinterpret_cast<const qint8_t *>(input.ptr()));
+        vst1q_s8(reinterpret_cast<qint8_t *>(output.ptr()), vinvsqrtq_qs8(in, fixed_point_position));
+    },
+    input, output);
+
+    return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(NEON)
+BOOST_AUTO_TEST_SUITE(FixedPoint)
+BOOST_AUTO_TEST_SUITE(QS8)
+BOOST_AUTO_TEST_SUITE(Invsqrt)
+
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
+BOOST_DATA_TEST_CASE(Small1DShape, SmallShapes() * boost::unit_test::data::xrange(1, 6), shape, fixed_point_position)
+{
+    // Compute function
+    Tensor dst = compute_invsqrt_qs8(shape, fixed_point_position);
+
+    // Compute reference
+    RawTensor ref_dst = Reference::compute_reference_fixed_point_operation(shape, DataType::QS8, DataType::QS8, FixedPointOp::INV_SQRT, fixed_point_position);
+
+    // Validate output
+    validate(NEAccessor(dst), ref_dst, tolerance, 0);
+}
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif