COMPMID-415: Move NormalizationLayer to new validation

Change-Id: Icf5781c920836fe87d2db27ca3f9cc4eb2bea554
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80999
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 0 insertions, 177 deletions

diff --git a/tests/validation/NEON/NormalizationLayer.cpp b/tests/validation/NEON/NormalizationLayer.cpp
deleted file mode 100644
index 8a5db369d1..0000000000
--- a/tests/validation/NEON/NormalizationLayer.cpp
+++ /dev/null
@@ -1,177 +0,0 @@
-/*
- * 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 "NEON/Accessor.h"
-#include "TypePrinter.h"
-#include "tests/Globals.h"
-#include "tests/Utils.h"
-#include "validation/Datasets.h"
-#include "validation/Reference.h"
-#include "validation/Validation.h"
-
-#include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h"
-
-#include <random>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Define tolerance of the normalization layer depending on values data type.
- *
- * @param[in] dt Data type of the tensors' values.
- *
- * @return Tolerance depending on the data type.
- */
-float normalization_layer_tolerance(DataType dt)
-{
-    switch(dt)
-    {
-        case DataType::QS8:
-            return 2.0f;
-        case DataType::F16:
-            return 0.001f;
-        case DataType::F32:
-            return 1e-05;
-        default:
-            return 0.f;
-    }
-}
-
-/** Compute Neon normalization layer function.
- *
- * @param[in] shape                Shape of the input and output tensors.
- * @param[in] dt                   Data type of input and output tensors.
- * @param[in] norm_info            Normalization Layer information.
- * @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16 (default = 0).
- *
- * @return Computed output tensor.
- */
-Tensor compute_normalization_layer(const TensorShape &shape, DataType dt, NormalizationLayerInfo norm_info, int fixed_point_position = 0)
-{
-    // Create tensors
-    Tensor src = create_tensor<Tensor>(shape, dt, 1, fixed_point_position);
-    Tensor dst = create_tensor<Tensor>(shape, dt, 1, fixed_point_position);
-
-    // Create and configure function
-    NENormalizationLayer norm;
-    norm.configure(&src, &dst, norm_info);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-    dst.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-    BOOST_TEST(!dst.info()->is_resizable());
-
-    // Fill tensors
-    if(dt == DataType::QS8)
-    {
-        const int8_t one_fixed_point       = 1 << fixed_point_position;
-        const int8_t minus_one_fixed_point = -one_fixed_point;
-        library->fill_tensor_uniform(Accessor(src), 0, minus_one_fixed_point, one_fixed_point);
-    }
-    else
-    {
-        library->fill_tensor_uniform(Accessor(src), 0);
-    }
-
-    // Compute function
-    norm.run();
-
-    return dst;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(NEON)
-BOOST_AUTO_TEST_SUITE(NormalizationLayer)
-
-#ifdef ARM_COMPUTE_ENABLE_FP16
-BOOST_AUTO_TEST_SUITE(Float16)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall,
-                     SmallShapes() * DataType::F16 *NormalizationTypes() * boost::unit_test::data::xrange(3, 9, 2) * boost::unit_test::data::make({ 0.5f, 1.0f, 2.0f }),
-                     shape, dt, norm_type, norm_size, beta)
-{
-    // Provide normalization layer information
-    NormalizationLayerInfo norm_info(norm_type, norm_size, 5, beta);
-
-    // Compute function
-    Tensor dst = compute_normalization_layer(shape, dt, norm_info);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_normalization_layer(shape, dt, norm_info);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, normalization_layer_tolerance(DataType::F16));
-}
-
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* ARM_COMPUTE_ENABLE_FP16 */
-
-BOOST_AUTO_TEST_SUITE(Float)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall,
-                     SmallShapes() * DataType::F32 *NormalizationTypes() * boost::unit_test::data::xrange(3, 9, 2) * boost::unit_test::data::make({ 0.5f, 1.0f, 2.0f }),
-                     shape, dt, norm_type, norm_size, beta)
-{
-    // Provide normalization layer information
-    NormalizationLayerInfo norm_info(norm_type, norm_size, 5, beta);
-
-    // Compute function
-    Tensor dst = compute_normalization_layer(shape, dt, norm_info);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_normalization_layer(shape, dt, norm_info);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, normalization_layer_tolerance(DataType::F32));
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(Quantized)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall,
-                     SmallShapes() * DataType::QS8 *NormalizationTypes() * boost::unit_test::data::xrange(3, 7, 2) * (boost::unit_test::data::xrange(1, 6) * boost::unit_test::data::make({ 0.5f, 1.0f, 2.0f })),
-                     shape, dt, norm_type, norm_size, fixed_point_position, beta)
-{
-    // Provide normalization layer information
-    NormalizationLayerInfo norm_info(norm_type, norm_size, 5, beta, 1.f);
-
-    // Compute function
-    Tensor dst = compute_normalization_layer(shape, dt, norm_info, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_normalization_layer(shape, dt, norm_info, fixed_point_position);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, normalization_layer_tolerance(DataType::QS8));
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */