COMPMID-415: Move ActivationLayer to new validation

Change-Id: I38ce20d95640f9c1baf699a095c35e592ad4339f
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81115
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>

1 files changed, 0 insertions, 282 deletions

diff --git a/tests/validation/CL/ActivationLayer.cpp b/tests/validation/CL/ActivationLayer.cpp
deleted file mode 100644
index a1e00b681b..0000000000
--- a/tests/validation/CL/ActivationLayer.cpp
+++ /dev/null
@@ -1,282 +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 "AssetsLibrary.h"
-#include "CL/CLAccessor.h"
-#include "Globals.h"
-#include "PaddingCalculator.h"
-#include "TypePrinter.h"
-#include "Utils.h"
-#include "validation/Datasets.h"
-#include "validation/Helpers.h"
-#include "validation/Reference.h"
-#include "validation/Validation.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/CL/CLTensorAllocator.h"
-#include "arm_compute/runtime/CL/functions/CLActivationLayer.h"
-
-#include "boost_wrapper.h"
-
-#include <random>
-#include <string>
-#include <tuple>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-/** Define tolerance of the activation layer
- *
- * @param[in] activation           The activation function used.
- * @param[in] fixed_point_position Number of bits for the fractional part..
- *
- * @return Tolerance depending on the activation function.
- */
-float activation_layer_tolerance(ActivationLayerInfo::ActivationFunction activation, int fixed_point_position = 0)
-{
-    switch(activation)
-    {
-        case ActivationLayerInfo::ActivationFunction::LOGISTIC:
-        case ActivationLayerInfo::ActivationFunction::SOFT_RELU:
-        case ActivationLayerInfo::ActivationFunction::SQRT:
-        case ActivationLayerInfo::ActivationFunction::TANH:
-            return (fixed_point_position != 0) ? 5.f : 0.00001f;
-            break;
-        default:
-            return 0.f;
-    }
-}
-
-/** Compute CL activation layer function.
- *
- * @param[in] in_place             Compute the activation layer in-place.
- * @param[in] shape                Shape of the input and output tensors.
- * @param[in] dt                   Shape Data type of tensors.
- * @param[in] act_info             Activation layer information.
- * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of fixed point numbers.
- *
- * @return Computed output tensor.
- */
-CLTensor compute_activation_layer(bool in_place, const TensorShape &shape, DataType dt, ActivationLayerInfo act_info, int fixed_point_position = 0)
-{
-    // Create tensors
-    CLTensor src = create_tensor<CLTensor>(shape, dt, 1, fixed_point_position);
-    CLTensor dst = create_tensor<CLTensor>(shape, dt, 1, fixed_point_position);
-
-    // Create and configure function
-    CLActivationLayer act_layer;
-
-    if(in_place)
-    {
-        act_layer.configure(&src, nullptr, act_info);
-    }
-    else
-    {
-        act_layer.configure(&src, &dst, act_info);
-    }
-
-    // Allocate tensors
-    src.allocator()->allocate();
-    BOOST_TEST(!src.info()->is_resizable());
-
-    if(!in_place)
-    {
-        dst.allocator()->allocate();
-        BOOST_TEST(!dst.info()->is_resizable());
-    }
-
-    // Fill tensors
-    if(dt == DataType::F32)
-    {
-        float min_bound = 0;
-        float max_bound = 0;
-        std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<float>(act_info.activation());
-        std::uniform_real_distribution<> distribution(min_bound, max_bound);
-        library->fill(CLAccessor(src), distribution, 0);
-    }
-    else
-    {
-        int min_bound = 0;
-        int max_bound = 0;
-        if(dt == DataType::QS8)
-        {
-            std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<int8_t>(act_info.activation(), fixed_point_position);
-        }
-        else
-        {
-            std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<int16_t>(act_info.activation(), fixed_point_position);
-        }
-        std::uniform_int_distribution<> distribution(min_bound, max_bound);
-        library->fill(CLAccessor(src), distribution, 0);
-    }
-
-    // Compute function
-    act_layer.run();
-
-    if(in_place)
-    {
-        return src;
-    }
-    else
-    {
-        return dst;
-    }
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(CL)
-BOOST_AUTO_TEST_SUITE(ActivationLayer)
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(Configuration, boost::unit_test::data::make({ false, true }) * (SmallShapes() + LargeShapes()) * CNNDataTypes(), in_place, shape, dt)
-{
-    // Set fixed point position data type allowed
-    const int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
-
-    // Create tensors
-    CLTensor src = create_tensor<CLTensor>(shape, dt, 1, fixed_point_position);
-    CLTensor dst = create_tensor<CLTensor>(shape, dt, 1, fixed_point_position);
-
-    BOOST_TEST(src.info()->is_resizable());
-    BOOST_TEST(dst.info()->is_resizable());
-
-    // Create and configure function
-    CLActivationLayer act_layer;
-
-    if(in_place)
-    {
-        act_layer.configure(&src, nullptr, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS));
-    }
-    else
-    {
-        act_layer.configure(&src, &dst, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS));
-    }
-
-    // Validate valid region
-    const ValidRegion valid_region = shape_to_valid_region(shape);
-    validate(src.info()->valid_region(), valid_region);
-
-    if(!in_place)
-    {
-        validate(dst.info()->valid_region(), valid_region);
-    }
-
-    // Validate padding
-    const int         step    = 16 / arm_compute::data_size_from_type(dt);
-    const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding();
-    validate(src.info()->padding(), padding);
-
-    if(!in_place)
-    {
-        validate(dst.info()->padding(), padding);
-    }
-}
-
-BOOST_AUTO_TEST_SUITE(Float)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, boost::unit_test::data::make({ false, true }) * SmallShapes() * CNNFloatDataTypes() * ActivationFunctions() * boost::unit_test::data::make({ 0.5f, 1.f }),
-                     in_place, shape, dt, act_function, alpha_beta)
-{
-    // Create activation layer info
-    ActivationLayerInfo act_info(act_function, alpha_beta, alpha_beta);
-
-    // Compute function
-    CLTensor dst = compute_activation_layer(in_place, shape, dt, act_info);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_activation_layer(shape, dt, act_info);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, activation_layer_tolerance(act_function));
-}
-
-BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
-BOOST_DATA_TEST_CASE(RunLarge, boost::unit_test::data::make({ false, true }) * LargeShapes() * CNNFloatDataTypes() * ActivationFunctions() * boost::unit_test::data::make({ 0.5f, 1.f }),
-                     in_place, shape, dt, act_function, alpha_beta)
-{
-    // Create activation layer info
-    ActivationLayerInfo act_info(act_function, alpha_beta, alpha_beta);
-
-    // Compute function
-    CLTensor dst = compute_activation_layer(in_place, shape, dt, act_info);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_activation_layer(shape, dt, act_info);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, activation_layer_tolerance(act_function));
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-/** @note We test for fixed point precision [3,5] because [1,2] and [6,7] ranges
- *        cause overflowing issues in most of the transcendentals functions.
- */
-BOOST_AUTO_TEST_SUITE(Quantized)
-BOOST_AUTO_TEST_SUITE(QS8)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, boost::unit_test::data::make({ false, true }) * SmallShapes() * ActivationFunctions() * boost::unit_test::data::xrange(3, 6, 1) * boost::unit_test::data::make({ 0.5f, 1.f }),
-                     in_place, shape, act_function, fixed_point_position, alpha_beta)
-{
-    // Create activation layer info
-    ActivationLayerInfo act_info(act_function, alpha_beta, alpha_beta);
-
-    // Compute function
-    CLTensor dst = compute_activation_layer(in_place, shape, DataType::QS8, act_info, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_activation_layer(shape, DataType::QS8, act_info, fixed_point_position);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, activation_layer_tolerance(act_function, fixed_point_position));
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(QS16)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, boost::unit_test::data::make({ false, true }) * SmallShapes() * ActivationFunctions() * boost::unit_test::data::xrange(3, 14, 1) * boost::unit_test::data::make({ 0.5f, 1.f }),
-                     in_place, shape, act_function, fixed_point_position, alpha_beta)
-{
-    // Create activation layer info
-    ActivationLayerInfo act_info(act_function, alpha_beta, alpha_beta);
-
-    // Compute function
-    CLTensor dst = compute_activation_layer(in_place, shape, DataType::QS16, act_info, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_activation_layer(shape, DataType::QS16, act_info, fixed_point_position);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, activation_layer_tolerance(act_function, fixed_point_position));
-}
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */
\ No newline at end of file