diff options
Diffstat (limited to 'tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp')
-rw-r--r-- | tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp | 176 |
1 files changed, 104 insertions, 72 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp b/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp index 411e31b32b..f894ce3cf1 100644 --- a/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp +++ b/tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2023 Arm Limited. + * Copyright (c) 2023-2024 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -25,13 +25,13 @@ #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h" #include "tests/CL/CLAccessor.h" -#include "tests/datasets/ShapeDatasets.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/framework/datasets/Datasets.h" -#include "tests/validation/Validation.h" #include "tests/validation/fixtures/dynamic_fusion/gpu/cl/Pool2dFixture.h" +#include "tests/validation/Validation.h" namespace arm_compute { @@ -43,15 +43,19 @@ 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 */ +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 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 }); +const auto pool_fp_mixed_precision_dataset = framework::dataset::make("FpMixedPrecision", {true, false}); template <typename T> using DynamicFusionGpuPool2dFixture = DynamicFusionGpuPool2dValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; @@ -60,7 +64,8 @@ template <typename T> using DFSpecialGpuPool2dFixture = DynamicFusionGpuPool2dSpecialValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; template <typename T> -using DFPoolMixedPrecisionFixture = DynamicFusionGpuPool2dMixedPrecisionValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; +using DFPoolMixedPrecisionFixture = + DynamicFusionGpuPool2dMixedPrecisionValidationFixture<CLTensor, CLAccessor, GpuPool2d, T>; // *INDENT-OFF* // clang-format off @@ -91,7 +96,7 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( // Validate Pool2d Configuration auto src_info = context.create_tensor_info(input_info); - bool res = bool(GpuPool2d::validate_op(sketch, &src_info, pool2d_attr, settings)); + bool res = bool(GpuPool2d::validate_op(sketch, src_info, pool2d_attr, settings)); ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); } @@ -100,53 +105,68 @@ DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( 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))) +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))) +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))) +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))) +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))) +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); @@ -155,49 +175,61 @@ 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)) +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)) +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))) +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))) +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); @@ -209,7 +241,7 @@ 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 |