COMPMID-417: Port PoolingLayer to new validation.

Change-Id: I7f2f5f5f81ad9932661fc4c660bf90614288bc96
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/85270
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 175 deletions

diff --git a/tests/validation/CL/PoolingLayer.cpp b/tests/validation/CL/PoolingLayer.cpp
deleted file mode 100644
index 286b1d98df..0000000000
--- a/tests/validation/CL/PoolingLayer.cpp
+++ /dev/null
@@ -1,175 +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 "CL/CLAccessor.h"
-#include "TypePrinter.h"
-#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h"
-#include "tests/Globals.h"
-#include "tests/Utils.h"
-#include "tests/dataset/PoolingLayerDataset.h"
-#include "validation/Datasets.h"
-#include "validation/Reference.h"
-#include "validation/Validation.h"
-
-#include <random>
-
-using namespace arm_compute;
-using namespace arm_compute::test;
-using namespace arm_compute::test::validation;
-
-namespace
-{
-const float tolerance_qs8  = 3;     /**< Tolerance value for comparing reference's output against implementation's output for quantized input */
-const float tolerance_qs16 = 6;     /**< Tolerance value for comparing reference's output against implementation's output for quantized input */
-const float tolerance_f    = 1e-05; /**< Tolerance value for comparing reference's output against implementation's output for float input */
-
-/** Compute CL pooling layer function.
- *
- * @param[in] shape                Shape of the input and output tensors.
- * @param[in] dt                   Data type of input and output tensors.
- * @param[in] pool_info            Pooling Layer information.
- * @param[in] fixed_point_position The fixed point position.
- *
- * @return Computed output tensor.
- */
-CLTensor compute_pooling_layer(const TensorShape &shape_in, const TensorShape &shape_out, DataType dt, PoolingLayerInfo pool_info, int fixed_point_position = 0)
-{
-    // Create tensors
-    CLTensor src = create_tensor<CLTensor>(shape_in, dt, 1, fixed_point_position);
-    CLTensor dst = create_tensor<CLTensor>(shape_out, dt, 1, fixed_point_position);
-
-    // Create and configure function
-    CLPoolingLayer pool;
-    pool.configure(&src, &dst, pool_info);
-
-    // Allocate tensors
-    src.allocator()->allocate();
-    dst.allocator()->allocate();
-
-    BOOST_TEST(!src.info()->is_resizable());
-    BOOST_TEST(!dst.info()->is_resizable());
-
-    // Fill tensors
-    // Fill tensors
-    int min = 0;
-    int max = 0;
-    switch(dt)
-    {
-        case DataType::F32:
-            min = -1;
-            max = 1;
-            break;
-        case DataType::QS8:
-        case DataType::QS16:
-            min = -(1 << fixed_point_position);
-            max = (1 << fixed_point_position);
-            break;
-        default:
-            ARM_COMPUTE_ERROR("DataType not supported.");
-    }
-    std::uniform_real_distribution<> distribution(min, max);
-    library->fill(CLAccessor(src), distribution, 0);
-
-    // Compute function
-    pool.run();
-
-    return dst;
-}
-
-TensorShape get_output_shape(TensorShape in_shape, const PoolingLayerInfo &pool_info)
-{
-    TensorShape out_shape(in_shape);
-    const std::pair<unsigned int, unsigned int> scaled_dims = arm_compute::scaled_dimensions(in_shape.x(),
-                                                                                             in_shape.y(),
-                                                                                             pool_info.pool_size(),
-                                                                                             pool_info.pool_size(),
-                                                                                             pool_info.pad_stride_info());
-    out_shape.set(0, scaled_dims.first);
-    out_shape.set(1, scaled_dims.second);
-    return out_shape;
-}
-} // namespace
-
-#ifndef DOXYGEN_SKIP_THIS
-BOOST_AUTO_TEST_SUITE(CL)
-BOOST_AUTO_TEST_SUITE(PoolingLayer)
-
-BOOST_AUTO_TEST_SUITE(Float)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * CNNFloatDataTypes() * PoolingTypes() * boost::unit_test::data::make({ 2, 3, 7 }) * boost::unit_test::data::make({ 1, 2 }) * boost::unit_test::data::make({ 0, 1 }),
-                     src_shape, dt, pool_type, pool_size, pool_stride, pool_pad)
-{
-    PoolingLayerInfo pool_info(pool_type, pool_size, PadStrideInfo(pool_stride, pool_stride, pool_pad, pool_pad, DimensionRoundingType::CEIL));
-    TensorShape      dst_shape = get_output_shape(src_shape, pool_info);
-
-    // Compute function
-    CLTensor dst = compute_pooling_layer(src_shape, dst_shape, dt, pool_info);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_pooling_layer(src_shape, dst_shape, dt, pool_info);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, tolerance_f);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(Quantized)
-
-BOOST_AUTO_TEST_SUITE(QS8)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RandomDataset,
-                     RandomPoolingLayerDataset() * boost::unit_test::data::xrange(1, 5),
-                     obj, fixed_point_position)
-{
-    // Compute function
-    CLTensor dst = compute_pooling_layer(obj.src_shape, obj.dst_shape, DataType::QS8, obj.info, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_pooling_layer(obj.src_shape, obj.dst_shape, DataType::QS8, obj.info, fixed_point_position);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, tolerance_qs8, 0);
-}
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE(QS16)
-BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
-BOOST_DATA_TEST_CASE(RandomDataset,
-                     RandomPoolingLayerDataset() * boost::unit_test::data::xrange(1, 12),
-                     obj, fixed_point_position)
-{
-    // Compute function
-    CLTensor dst = compute_pooling_layer(obj.src_shape, obj.dst_shape, DataType::QS16, obj.info, fixed_point_position);
-
-    // Compute reference
-    RawTensor ref_dst = Reference::compute_reference_pooling_layer(obj.src_shape, obj.dst_shape, DataType::QS16, obj.info, fixed_point_position);
-
-    // Validate output
-    validate(CLAccessor(dst), ref_dst, tolerance_qs16, 0);
-}
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-
-BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE_END()
-#endif /* DOXYGEN_SKIP_THIS */