| /* |
| * 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/NEAccessor.h" |
| #include "TypePrinter.h" |
| #include "arm_compute/runtime/NEON/functions/NEPoolingLayer.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::neon; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| const float tolerance_q = 0; /**< 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 Neon 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. |
| * |
| * @return Computed output tensor. |
| */ |
| Tensor compute_pooling_layer(const TensorShape &shape_in, const TensorShape &shape_out, DataType dt, PoolingLayerInfo pool_info, int fixed_point_position = 0) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape_in, dt, 1, fixed_point_position); |
| Tensor dst = create_tensor<Tensor>(shape_out, dt, 1, fixed_point_position); |
| |
| // Create and configure function |
| NEPoolingLayer 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 |
| int min = 0; |
| int max = 0; |
| switch(dt) |
| { |
| case DataType::F32: |
| min = -1; |
| max = 1; |
| break; |
| case DataType::QS8: |
| 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(NEAccessor(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(NEON) |
| BOOST_AUTO_TEST_SUITE(PoolingLayer) |
| |
| BOOST_AUTO_TEST_SUITE(Float) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RandomDataset, |
| RandomPoolingLayerDataset() * boost::unit_test::data::make(DataType::F32), |
| obj, dt) |
| { |
| // Compute function |
| Tensor dst = compute_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_f, 0); |
| } |
| |
| BOOST_DATA_TEST_CASE(RunSmall7x7, |
| 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 |
| Tensor 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(NEAccessor(dst), ref_dst, tolerance_f, 0); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE(Quantized) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RandomDataset, |
| RandomPoolingLayerDataset() * boost::unit_test::data::make(DataType::QS8) * boost::unit_test::data::xrange(1, 5), |
| obj, dt, fixed_point_position) |
| { |
| // Compute function |
| Tensor dst = compute_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_pooling_layer(obj.src_shape, obj.dst_shape, dt, obj.info, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, tolerance_q, 0); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |