/* * Copyright (c) 2023-2024 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 "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h" #include "tests/CL/CLAccessor.h" #include "tests/datasets/dynamic_fusion/PoolingLayerDataset.h" #include "tests/datasets/ShapeDatasets.h" #include "tests/framework/datasets/Datasets.h" #include "tests/framework/Fixture.h" #include "tests/framework/Macros.h" #include "tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h" #include "tests/validation/Validation.h" namespace arm_compute { namespace test { namespace validation { TEST_SUITE(CL) TEST_SUITE(DYNAMIC_FUSION) TEST_SUITE(POOL2D) constexpr AbsoluteTolerance tolerance_f32( 0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ constexpr AbsoluteTolerance tolerance_f16( 0.01f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ const auto PoolingLayerDatasetFP = combine(combine(combine(combine(framework::dataset::make("PoolingType", {PoolingType::MAX, PoolingType::AVG}), framework::dataset::make("PoolingSize", {Size2D(2, 2), Size2D(3, 3)})), framework::dataset::make("Pad", {Padding2D()})), framework::dataset::make("Stride", {Size2D(1, 1), Size2D(2, 1), Size2D(5, 7)})), framework::dataset::make("ExcludePadding", {true})); template using DynamicFusionGpuPool2dFixture = DynamicFusionGpuPool2dValidationFixture; template using DFSpecialGpuPool2dFixture = DynamicFusionGpuPool2dSpecialValidationFixture; // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(2U, 27U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Invalid parameters, unsupported pooling TensorInfo(TensorShape(5U, 15U, 13U), 1, DataType::F32, DataLayout::NHWC), // Valid Non-rectangular Global Pooling TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::QASYMM8, DataLayout::NHWC), // Invalid - Quantized not supported. TensorInfo(TensorShape(5U, 13U, 13U), 1, DataType::F32, DataLayout::NHWC), // Valid global pooling TensorInfo(TensorShape(13U, 13U, 5U), 1, DataType::F32, DataLayout::NCHW), // Unsupported data layout }), framework::dataset::make("Pool2dAttributes", { Pool2dAttributes().pool_type(PoolingType::L2).pool_size(Size2D(3,3)).pad(Padding2D(0,0,0,0)).stride(Size2D(1,1)), Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(15U, 13U)), Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(2,2)).pad(Padding2D()).stride(Size2D(1,1)), Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(13U,13U)), Pool2dAttributes().pool_type(PoolingType::AVG).pool_size(Size2D(13U,13U)), })), framework::dataset::make("Expected", { false, true, false, true, false })), input_info, pool2d_attr, expected) { // Create a new workload sketch auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); auto context = GpuWorkloadContext{ &cl_compile_ctx }; GpuWorkloadSketch sketch{ &context }; // Declare GpuPool2d settings const GpuPool2dSettings &settings = GpuPool2dSettings(); // Validate Pool2d Configuration auto src_info = context.create_tensor_info(input_info); bool res = bool(GpuPool2d::validate_op(sketch, src_info, pool2d_attr, settings)); ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); } // clang-format on // *INDENT-ON* TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionGpuPool2dFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), PoolingLayerDatasetFP), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionGpuPool2dFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), PoolingLayerDatasetFP), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSpecial, DFSpecialGpuPool2dFixture, framework::DatasetMode::ALL, combine(datasets::PoolingLayerDatasetSpecialDynamicFusion(), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE(GlobalPooling) FIXTURE_DATA_TEST_CASE( RunSmall, DynamicFusionGpuPool2dFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(framework::dataset::make("InputShape", {TensorShape(27U, 13U, 2U), TensorShape(27U, 13U, 2U, 4U)}), framework::dataset::make("PoolingType", {PoolingType::AVG, PoolingType::MAX})), framework::dataset::make("PoolingSize", {Size2D(27, 13)})), framework::dataset::make("Pad", {Padding2D()})), framework::dataset::make("Stride", {Size2D(1, 1)})), framework::dataset::make("ExcludePadding", true)), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE( RunLarge, DynamicFusionGpuPool2dFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(framework::dataset::make("InputShape", {TensorShape(79U, 37U, 11U), TensorShape(79U, 37U, 11U, 4U)}), framework::dataset::make("PoolingType", {PoolingType::AVG, PoolingType::MAX})), framework::dataset::make("PoolingSize", {Size2D(79, 37)})), framework::dataset::make("Pad", {Padding2D()})), framework::dataset::make("Stride", {Size2D(1, 1)})), framework::dataset::make("ExcludePadding", true)), framework::dataset::make("DataType", DataType::F32))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() // GlobalPooling TEST_SUITE_END() // FP32 TEST_SUITE(FP16) TEST_SUITE(GlobalPooling) FIXTURE_DATA_TEST_CASE( RunSmall, DynamicFusionGpuPool2dFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(framework::dataset::make("InputShape", {TensorShape(27U, 13U, 2U), TensorShape(27U, 13U, 2U, 4U)}), framework::dataset::make("PoolingType", {PoolingType::AVG, PoolingType::MAX})), framework::dataset::make("PoolingSize", {Size2D(27, 13)})), framework::dataset::make("Pad", {Padding2D()})), framework::dataset::make("Stride", {Size2D(1, 1)})), framework::dataset::make("ExcludePadding", true)), framework::dataset::make("DataType", DataType::F16))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16); } FIXTURE_DATA_TEST_CASE( RunLarge, DynamicFusionGpuPool2dFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(combine(framework::dataset::make("InputShape", {TensorShape(79U, 37U, 11U), TensorShape(79U, 37U, 11U, 4U)}), framework::dataset::make("PoolingType", {PoolingType::AVG, PoolingType::MAX})), framework::dataset::make("PoolingSize", {Size2D(79, 37)})), framework::dataset::make("Pad", {Padding2D()})), framework::dataset::make("Stride", {Size2D(1, 1)})), framework::dataset::make("ExcludePadding", true)), framework::dataset::make("DataType", DataType::F16))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f16); } TEST_SUITE_END() // GlobalPooling TEST_SUITE_END() // FP16 TEST_SUITE_END() // FLOAT TEST_SUITE_END() // POOL2D TEST_SUITE_END() // DYNAMIC_FUSION TEST_SUITE_END() // CL } // namespace validation } // namespace test } // namespace arm_compute