| /* |
| * 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 |
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| * 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. |
| */ |
| #ifdef ACL_INTERNAL_TEST_CKW_IN_DF |
| #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<float> tolerance_f32( |
| 0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ |
| constexpr AbsoluteTolerance<float> 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})); |
| |
| const auto pool_fp_mixed_precision_dataset = framework::dataset::make("FpMixedPrecision", {true, false}); |
| |
| template <typename T> |
| using DynamicFusionGpuPool2dFixture = DynamicFusionGpuPool2dValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; |
| |
| template <typename T> |
| using DFSpecialGpuPool2dFixture = DynamicFusionGpuPool2dSpecialValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; |
| |
| template <typename T> |
| using DFPoolMixedPrecisionFixture = |
| DynamicFusionGpuPool2dMixedPrecisionValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; |
| // *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().mixed_precision(false); |
| |
| // 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<float>, |
| 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<float>, |
| 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<float>, |
| 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<float>, |
| 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<float>, |
| 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) |
| FIXTURE_DATA_TEST_CASE(RunSmall, |
| DFPoolMixedPrecisionFixture<half>, |
| framework::DatasetMode::PRECOMMIT, |
| combine(combine(combine(datasets::SmallNoneUnitShapes(), PoolingLayerDatasetFP), |
| framework::dataset::make("DataType", DataType::F16)), |
| pool_fp_mixed_precision_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| FIXTURE_DATA_TEST_CASE(RunLarge, |
| DFPoolMixedPrecisionFixture<half>, |
| framework::DatasetMode::NIGHTLY, |
| combine(combine(combine(datasets::LargeShapes(), PoolingLayerDatasetFP), |
| framework::dataset::make("DataType", DataType::F16)), |
| pool_fp_mixed_precision_dataset)) |
| { |
| // Validate output |
| validate(CLAccessor(_target), _reference, tolerance_f16); |
| } |
| |
| TEST_SUITE(GlobalPooling) |
| FIXTURE_DATA_TEST_CASE( |
| RunSmall, |
| DynamicFusionGpuPool2dFixture<half>, |
| 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<half>, |
| 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 |
| #endif // ACL_INTERNAL_TEST_CKW_IN_DF |