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-rw-r--r--tests/validation/dynamic_fusion/gpu/cl/Pool2d.cpp176
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
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-23 07:15:14 +0000