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Diffstat (limited to 'tests/validation/dynamic_fusion/gpu/cl/Add.cpp')
| -rw-r--r-- | tests/validation/dynamic_fusion/gpu/cl/Add.cpp | 264 |
1 files changed, 264 insertions, 0 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/Add.cpp b/tests/validation/dynamic_fusion/gpu/cl/Add.cpp new file mode 100644 index 0000000000..9bfdc961fe --- /dev/null +++ b/tests/validation/dynamic_fusion/gpu/cl/Add.cpp @@ -0,0 +1,264 @@ +/* + * Copyright (c) 2022-2024 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/GpuWorkloadSketch.h" +#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuAdd.h" + +#include "tests/CL/CLAccessor.h" +#include "tests/datasets/DynamicFusionDataset.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/ElementwiseBinaryFixture.h" +#include "tests/validation/Validation.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +/* Synced with tests/validation/CL/ArithmeticAddition.cpp from the standard interface. + * + * Difference | Why the difference + * No quantized tests | Not supported yet + * No in place tests | Not supported yet + * No activation tests | Not needed in dynamic fusion interface + * + */ +TEST_SUITE(CL) +TEST_SUITE(DYNAMIC_FUSION) +TEST_SUITE(ADD) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( + framework::dataset::make("LhsInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), // S16 is valid data type for Add + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // S32 is valid data type for Add + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes + TensorInfo(TensorShape(32U, 1U, 1U), 1, DataType::F32), // Broadcasting allowed for lhs + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), // Unsupported data type QASYMM8 + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED), // Unsupported data type QASYMM8 + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(15U, 23U, 3U), 1, DataType::F32), // Broadcast Y dimension is not allowed + TensorInfo(TensorShape( 3U, 8U, 9U), 1, DataType::S16), // Broadcast Z dimension is not allowed + TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32), // Batching is allowed + }), + framework::dataset::make("RhsInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), // Unsupported data type QASYMM8 + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED), // Unsupported data type QASYMM8 + TensorInfo(TensorShape(32U, 1U, 1U), 1, DataType::F32), // Broadcasting allowed for rhs + TensorInfo(TensorShape(15U, 1U, 3U), 1, DataType::F32), + TensorInfo(TensorShape( 3U, 8U, 1U), 1, DataType::S16), + TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32), + })), + framework::dataset::make("Expected", { true, false, true, true, false, true, false, false, true, false, false, true})), + input1_info, input2_info, expected) +{ + // Create a new workload sketch + auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); + auto context = GpuWorkloadContext{ &cl_compile_ctx }; + GpuWorkloadSketch sketch{ &context }; + + // Validate Elementwise Add + auto lhs_info = context.create_tensor_info(input1_info); + auto rhs_info = context.create_tensor_info(input2_info); + + bool res = bool(GpuAdd::validate_op(sketch, lhs_info, rhs_info)); + ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +constexpr AbsoluteTolerance<float> tolerance_f( + 0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 and DataType::F16 */ +constexpr float tolerance_num = 0.0001f; /**< Tolerance number */ + +template <typename T> +using DynamicFusionCLAddFixture = + DynamicFusionGpuElementwiseBinaryOneOpValidationFixture<CLTensor, CLAccessor, GpuAdd, T>; + +template <typename T> +using DynamicFusionCLAddBroadcastFixture = + DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture<CLTensor, CLAccessor, GpuAdd, T>; + +template <typename T> +using DynamicFusionCLAddTwoOpsFixture = + DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture<CLTensor, CLAccessor, GpuAdd, T>; + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmallOneOp, + DynamicFusionCLAddFixture<float>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::SmallShapes()), + framework::dataset::make("DataType", {DataType::F32})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f); +} +FIXTURE_DATA_TEST_CASE(RunLargeOneOp, + DynamicFusionCLAddFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::LargeShapes()), + framework::dataset::make("DataType", {DataType::F32})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f); +} +FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, + DynamicFusionCLAddBroadcastFixture<float>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::TemporaryLimitedSmallShapesBroadcast()), + framework::dataset::make("DataType", {DataType::F32})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f); +} + +FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp, + DynamicFusionCLAddBroadcastFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::TemporaryLimitedLargeShapesBroadcast()), + framework::dataset::make("DataType", {DataType::F32})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f); +} +FIXTURE_DATA_TEST_CASE( + RunSmallTwoOps, + DynamicFusionCLAddTwoOpsFixture<float>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::DynamicFusionElementwiseBinaryTwoOpsSmallShapes()), + framework::dataset::make("DataType", {DataType::F32})), + framework::dataset::make("InPlace", {false})), + framework::dataset::make("FuseTwoOps", {true}))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f); +} +TEST_SUITE_END() // FP32 + +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmallOneOp, + DynamicFusionCLAddFixture<half>, + framework::DatasetMode::ALL, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::SmallShapes()), + framework::dataset::make("DataType", {DataType::F16})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f, tolerance_num); +} + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, + DynamicFusionCLAddBroadcastFixture<half>, + framework::DatasetMode::ALL, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::TemporaryLimitedSmallShapesBroadcast()), + framework::dataset::make("DataType", {DataType::F16})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f, tolerance_num); +} + +TEST_SUITE_END() // FP16 + +TEST_SUITE(S32) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionCLAddFixture<int32_t>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::SmallShapes()), + framework::dataset::make("DataType", {DataType::S32})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // S32 + +TEST_SUITE(S16) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionCLAddFixture<int16_t>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::SmallShapes()), + framework::dataset::make("DataType", {DataType::S16})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +FIXTURE_DATA_TEST_CASE(RunLarge, + DynamicFusionCLAddFixture<int16_t>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::LargeShapes()), + framework::dataset::make("DataType", {DataType::S16})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // S16 + +TEST_SUITE(U8) +FIXTURE_DATA_TEST_CASE(RunSmall, + DynamicFusionCLAddFixture<uint8_t>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(framework::dataset::make("ElementwiseOp", {ArithmeticOperation::ADD}), + datasets::SmallShapes()), + framework::dataset::make("DataType", {DataType::U8})), + framework::dataset::make("InPlace", {false}))) +{ + // Validate output + validate(CLAccessor(_target), _reference); +} +TEST_SUITE_END() // U8 + +TEST_SUITE_END() // ADD +TEST_SUITE_END() // DYNAMIC_FUSION +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute |