/* * Copyright (c) 2022-2023 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/framework/Fixture.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" #include "tests/validation/Validation.h" #include "tests/datasets/DynamicFusionDataset.h" #include "tests/datasets/ShapeDatasets.h" #include "tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h" #include "tests/validation/reference/ElementwiseOperations.h" namespace arm_compute { namespace test { namespace validation { 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("Input1Info", { 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::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("Input2Info",{ 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, 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, true, false, false, true})), input1_info, input2_info, expected) { // Create a new workload sketch auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); auto gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx }; GpuWorkloadSketch sketch{ &gpu_ctx }; // Fuse Elementwise Add auto lhs_info = sketch.create_tensor_info(input1_info); auto rhs_info = sketch.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* RelativeTolerance tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ RelativeTolerance tolerance_f16(half_float::half(0.1)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ constexpr float tolerance_num = 0.01f; /**< Tolerance number */ template using DynamicFusionAddOpFixture = DynamicFusionGpuElementwiseBinaryOneOpValidationFixture; template using DynamicFusionAddOpBroadcastFixture = DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture; template using DynamicFusionGpuFuseTwoAddOpsFixture = DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture; TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmallOneOp, DynamicFusionAddOpFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine( framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::SmallShapesNoBatches()), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("InPlace", { false, true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLargeOneOp, DynamicFusionAddOpFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine( framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::LargeShapesNoBatches()), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("InPlace", { false, true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, DynamicFusionAddOpBroadcastFixture, 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, true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp, DynamicFusionAddOpBroadcastFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::TemporaryLimitedLargeShapesBroadcast()), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("InPlace", { false, true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } FIXTURE_DATA_TEST_CASE(RunSmallTwoOps, DynamicFusionGpuFuseTwoAddOpsFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::DynamicFusionElementwiseBinaryTwoOpsSmallShapes()), framework::dataset::make("DataType", { DataType::F32 })), framework::dataset::make("InPlace", { false }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32); } TEST_SUITE_END() // FP32 TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmallOneOp, DynamicFusionAddOpFixture, framework::DatasetMode::ALL, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::SmallShapesNoBatches()), framework::dataset::make("DataType", { DataType::F16 })), framework::dataset::make("InPlace", { false, true }))) { // Validate output validate(CLAccessor(_target), _reference, tolerance_f32, tolerance_num); } FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, DynamicFusionAddOpBroadcastFixture, 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_f32, tolerance_num); } TEST_SUITE_END() // FP16 TEST_SUITE(S32) FIXTURE_DATA_TEST_CASE(RunSmall, DynamicFusionAddOpFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::SmallShapesNoBatches()), 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, DynamicFusionAddOpFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::SmallShapesNoBatches()), framework::dataset::make("DataType", { DataType::S16 })), framework::dataset::make("InPlace", { false }))) { // Validate output validate(CLAccessor(_target), _reference); } FIXTURE_DATA_TEST_CASE(RunLarge, DynamicFusionAddOpFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::LargeShapesNoBatches()), 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, DynamicFusionAddOpFixture, framework::DatasetMode::PRECOMMIT, combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::ADD }), datasets::SmallShapesNoBatches()), 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