COMPMID-415: Rename and move tests

The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.

Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 258 deletions

diff --git a/tests/validation/NEON/BatchNormalizationLayer.cpp b/tests/validation/NEON/BatchNormalizationLayer.cpp
deleted file mode 100644
index 9898beb7db..0000000000
--- a/tests/validation/NEON/BatchNormalizationLayer.cpp
+++ /dev/null
@@ -1,258 +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 "dataset/BatchNormalizationLayerDataset.h"
-#include "tests/Globals.h"
-#include "tests/NEON/Helper.h"
-#include "tests/Utils.h"
-#include "tests/validation/Helpers.h"
-#include "validation/Datasets.h"
-#include "validation/Reference.h"
-#include "validation/Validation.h"
-
-#include "arm_compute/runtime/NEON/functions/NEBatchNormalizationLayer.h"
-
-#include <random>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-const float tolerance_qs8  = 6;      /**< Tolerance value for comparing reference's output against quantized implementation's output */
-const float tolerance_qs16 = 6;      /**< Tolerance value for comparing reference's output against quantized implementation's output */
-const float tolerance_f32  = 1e-05f; /**< Tolerance value for comparing reference's output against floating point implementation's output */
-#ifdef ARM_COMPUTE_ENABLE_FP16
-const float tolerance_f16 = 0.01f; /**< Tolerance value for comparing reference's output against half precision floating point implementation's output */
-#endif                             /* ARM_COMPUTE_ENABLE_FP16 */
-
-/** Compute Neon batch normalization 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.
- *
- * @return Computed output tensor.
- */
-Tensor compute_reference_batch_normalization_layer(const TensorShape &shape0, const TensorShape &shape1, DataType dt, float epsilon, int fixed_point_position = 0)
-{
-    // Create tensors
-    Tensor src   = create_tensor<Tensor>(shape0, dt, 1, fixed_point_position);
-    Tensor dst   = create_tensor<Tensor>(shape0, dt, 1, fixed_point_position);
-    Tensor mean  = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
-    Tensor var   = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
-    Tensor beta  = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
-    Tensor gamma = create_tensor<Tensor>(shape1, dt, 1, fixed_point_position);
-
-    // Create and configure function
-    NEBatchNormalizationLayer norm;
-    norm.configure(&src, &dst, &mean, &var, &beta, &gamma, epsilon);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-    dst.allocator()->allocate();
-    mean.allocator()->allocate();
-    var.allocator()->allocate();
-    beta.allocator()->allocate();
-    gamma.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-    BOOST_TEST(!dst.info()->is_resizable());
-    BOOST_TEST(!mean.info()->is_resizable());
-    BOOST_TEST(!var.info()->is_resizable());
-    BOOST_TEST(!beta.info()->is_resizable());
-    BOOST_TEST(!gamma.info()->is_resizable());
-
-    // Fill tensors
-    switch(dt)
-    {
-        case DataType::QS8:
-        {
-            const std::pair<int8_t, int8_t> bounds = get_batchnormalization_layer_test_bounds<int8_t>(fixed_point_position);
-            std::uniform_int_distribution<> distribution(bounds.first, bounds.second);
-            std::uniform_int_distribution<> distribution_var(0, bounds.second);
-            test::fill_tensors(distribution, { 0, 1, 3, 4 }, &src, &mean, &beta, &gamma);
-            test::fill_tensors(distribution_var, { 0 }, &var);
-            break;
-        }
-        case DataType::QS16:
-        {
-            const std::pair<int16_t, int16_t> bounds = get_batchnormalization_layer_test_bounds<int16_t>(fixed_point_position);
-            std::uniform_int_distribution<> distribution(bounds.first, bounds.second);
-            std::uniform_int_distribution<> distribution_var(0, bounds.second);
-            test::fill_tensors(distribution, { 0, 1, 3, 4 }, &src, &mean, &beta, &gamma);
-            test::fill_tensors(distribution_var, { 0 }, &var);
-            break;
-        }
-#ifdef ARM_COMPUTE_ENABLE_FP16
-        case DataType::F16:
-        {
-            const std::pair<half_float::half, half_float::half> bounds = get_batchnormalization_layer_test_bounds<half_float::half>();
-            std::uniform_real_distribution<> distribution(bounds.first, bounds.second);
-            std::uniform_real_distribution<> distribution_var(0, bounds.second);
-            test::fill_tensors(distribution, { 0, 1, 3, 4 }, &src, &mean, &beta, &gamma);
-            test::fill_tensors(distribution_var, { 0 }, &var);
-            break;
-        }
-#endif /* ARM_COMPUTE_ENABLE_FP16 */
-        case DataType::F32:
-        {
-            const std::pair<float, float> bounds = get_batchnormalization_layer_test_bounds<float>();
-            std::uniform_real_distribution<> distribution(bounds.first, bounds.second);
-            std::uniform_real_distribution<> distribution_var(0, bounds.second);
-            test::fill_tensors(distribution, { 0, 1, 3, 4 }, &src, &mean, &beta, &gamma);
-            test::fill_tensors(distribution_var, { 0 }, &var);
-            break;
-        }
-        default:
-        {
-            ARM_COMPUTE_ERROR("Not supported");
-            break;
-        }
-    }
-
-    // Compute function
-    norm.run();
-
-    return dst;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(NEON)
-BOOST_AUTO_TEST_SUITE(BatchNormalizationLayer)
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, RandomBatchNormalizationLayerDataset() * boost::unit_test::data::make({ DataType::QS8, DataType::QS16, DataType::F32 }), obj, dt)
-{
-    // Set fixed point position data type allowed
-    int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
-
-    // Create tensors
-    Tensor src   = create_tensor<Tensor>(obj.shape0, dt, 1, fixed_point_position);
-    Tensor dst   = create_tensor<Tensor>(obj.shape0, dt, 1, fixed_point_position);
-    Tensor mean  = create_tensor<Tensor>(obj.shape1, dt, 1, fixed_point_position);
-    Tensor var   = create_tensor<Tensor>(obj.shape1, dt, 1, fixed_point_position);
-    Tensor beta  = create_tensor<Tensor>(obj.shape1, dt, 1, fixed_point_position);
-    Tensor gamma = create_tensor<Tensor>(obj.shape1, dt, 1, fixed_point_position);
-
-    BOOST_TEST(src.info()->is_resizable());
-    BOOST_TEST(dst.info()->is_resizable());
-    BOOST_TEST(mean.info()->is_resizable());
-    BOOST_TEST(var.info()->is_resizable());
-    BOOST_TEST(beta.info()->is_resizable());
-    BOOST_TEST(gamma.info()->is_resizable());
-
-    // Create and configure function
-    NEBatchNormalizationLayer norm;
-    norm.configure(&src, &dst, &mean, &var, &beta, &gamma, obj.epsilon);
-
-    // Validate valid region
-    const ValidRegion valid_region     = shape_to_valid_region(obj.shape0);
-    const ValidRegion valid_region_vec = shape_to_valid_region(obj.shape1);
-    validate(src.info()->valid_region(), valid_region);
-    validate(dst.info()->valid_region(), valid_region);
-    validate(mean.info()->valid_region(), valid_region_vec);
-    validate(var.info()->valid_region(), valid_region_vec);
-    validate(beta.info()->valid_region(), valid_region_vec);
-    validate(gamma.info()->valid_region(), valid_region_vec);
-}
-
-BOOST_AUTO_TEST_SUITE(Float)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(Random,
-                     RandomBatchNormalizationLayerDataset() * boost::unit_test::data::make(DataType::F32),
-                     obj, dt)
-{
-    // Compute function
-    Tensor dst = compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, tolerance_f32, 0);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-#ifdef ARM_COMPUTE_ENABLE_FP16
-BOOST_AUTO_TEST_SUITE(Float16)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(Random,
-                     RandomBatchNormalizationLayerDataset() * boost::unit_test::data::make(DataType::F16),
-                     obj, dt)
-{
-    // Compute function
-    Tensor dst = compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, tolerance_f16, 0);
-}
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* ARM_COMPUTE_ENABLE_FP16 */
-
-BOOST_AUTO_TEST_SUITE(Quantized)
-BOOST_AUTO_TEST_SUITE(QS8)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(Random,
-                     RandomBatchNormalizationLayerDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(1, 6),
-                     obj, dt, fixed_point_position)
-{
-    // Compute function
-    Tensor dst = compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon, fixed_point_position);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, tolerance_qs8);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(QS16)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(Random,
-                     RandomBatchNormalizationLayerDataset() * boost::unit_test::data::make(DataType::QS16) * boost::unit_test::data::xrange(1, 14),
-                     obj, dt, fixed_point_position)
-{
-    // Compute function
-    Tensor dst = compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_batch_normalization_layer(obj.shape0, obj.shape1, dt, obj.epsilon, fixed_point_position);
-
-    // Validate output
-    validate(Accessor(dst), ref_dst, tolerance_qs16);
-}
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */