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260 lines
14 KiB
260 lines
14 KiB
/*
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* Copyright (c) 2023 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h"
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#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuSub.h"
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#include "tests/CL/CLAccessor.h"
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#include "tests/framework/Fixture.h"
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#include "tests/framework/Macros.h"
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#include "tests/framework/datasets/Datasets.h"
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#include "tests/validation/Validation.h"
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#include "tests/datasets/DynamicFusionDataset.h"
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#include "tests/datasets/ShapeDatasets.h"
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#include "tests/validation/fixtures/dynamic_fusion/gpu/cl/ElementwiseBinaryFixture.h"
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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/* Synced with tests/validation/CL/ArithmeticSubtraction.cpp from the standard interface.
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*
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* Difference | Why the difference
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* No quantized tests | Not supported yet
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* No in place tests | Not supported yet
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* No activation tests | Not needed in dynamic fusion interface
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*
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*/
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TEST_SUITE(CL)
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TEST_SUITE(DYNAMIC_FUSION)
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TEST_SUITE(SUB)
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// *INDENT-OFF*
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// clang-format off
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DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
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framework::dataset::make("LhsInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U32), // Unsupported data type U32
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), // Unsupported data type QASYMM8
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED), // Unsupported data type QASYMM8
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), // S16 is valid data type for Sub
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // S32 is valid data type for Sub
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
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TensorInfo(TensorShape(32U, 1U, 1U), 1, DataType::F32), // Broadcasting allowed for lhs
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(15U, 23U, 3U), 1, DataType::F32), // Broadcast Y dimension is not allowed
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TensorInfo(TensorShape( 3U, 8U, 9U), 1, DataType::S16), // Broadcast Z dimension is not allowed
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TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32), // Batching is allowed
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}),
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framework::dataset::make("RhsInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
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TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
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TensorInfo(TensorShape(32U, 1U, 1U), 1, DataType::F32), // Broadcasting allowed for rhs
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TensorInfo(TensorShape(15U, 1U, 3U), 1, DataType::F32),
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TensorInfo(TensorShape( 3U, 8U, 1U), 1, DataType::S16),
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TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32),
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})),
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framework::dataset::make("Expected", { true, false, false, false, false, true, true, false, true, true, false, false, true })),
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input1_info, input2_info, expected)
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{
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// Create a new workload sketch
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auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context();
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auto gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx };
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GpuWorkloadSketch sketch{ &gpu_ctx };
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// Validate Elementwise Sub
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auto lhs_info = sketch.create_tensor_info(input1_info);
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auto rhs_info = sketch.create_tensor_info(input2_info);
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bool res = bool(GpuSub::validate_op(sketch, &lhs_info, &rhs_info));
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ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS);
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}
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// clang-format on
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// *INDENT-ON*
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template <typename T>
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using DynamicFusionCLSubFixture = DynamicFusionGpuElementwiseBinaryOneOpValidationFixture<CLTensor, CLAccessor, GpuSub, T>;
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template <typename T>
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using DynamicFusionCLSubBroadcastFixture = DynamicFusionGpuElementwiseBinaryBroadcastOneOpValidationFixture<CLTensor, CLAccessor, GpuSub, T>;
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template <typename T>
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using DynamicFusionCLSubTwoOpsFixture = DynamicFusionGpuElementwiseBinaryTwoOpsValidationFixture<CLTensor, CLAccessor, GpuSub, T>;
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TEST_SUITE(FP32)
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FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
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DynamicFusionCLSubFixture<float>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::SmallShapes()),
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framework::dataset::make("DataType", { DataType::F32 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLargeOneOp,
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DynamicFusionCLSubFixture<float>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::LargeShapes()),
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framework::dataset::make("DataType", { DataType::F32 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp,
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DynamicFusionCLSubBroadcastFixture<float>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::TemporaryLimitedSmallShapesBroadcast()),
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framework::dataset::make("DataType", { DataType::F32 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp,
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DynamicFusionCLSubBroadcastFixture<float>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::TemporaryLimitedLargeShapesBroadcast()),
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framework::dataset::make("DataType", { DataType::F32 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallTwoOps,
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DynamicFusionCLSubTwoOpsFixture<float>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::DynamicFusionElementwiseBinaryTwoOpsSmallShapes()),
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framework::dataset::make("DataType", { DataType::F32 })),
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framework::dataset::make("InPlace", { false })),
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framework::dataset::make("FuseTwoOps", { true })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // FP32
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TEST_SUITE(FP16)
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FIXTURE_DATA_TEST_CASE(RunSmallOneOp,
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DynamicFusionCLSubFixture<half>,
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framework::DatasetMode::ALL,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::SmallShapes()),
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framework::dataset::make("DataType", { DataType::F16 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp,
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DynamicFusionCLSubBroadcastFixture<half>,
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framework::DatasetMode::ALL,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::TemporaryLimitedSmallShapesBroadcast()),
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framework::dataset::make("DataType", { DataType::F16 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // FP16
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TEST_SUITE(S32)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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DynamicFusionCLSubFixture<int32_t>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::SmallShapes()),
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framework::dataset::make("DataType", { DataType::S32 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // S32
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TEST_SUITE(S16)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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DynamicFusionCLSubFixture<int16_t>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::SmallShapes()),
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framework::dataset::make("DataType", { DataType::S16 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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FIXTURE_DATA_TEST_CASE(RunLarge,
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DynamicFusionCLSubFixture<int16_t>,
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framework::DatasetMode::NIGHTLY,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::LargeShapes()),
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framework::dataset::make("DataType", { DataType::S16 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // S16
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TEST_SUITE(U8)
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FIXTURE_DATA_TEST_CASE(RunSmall,
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DynamicFusionCLSubFixture<uint8_t>,
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framework::DatasetMode::PRECOMMIT,
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combine(combine(combine(framework::dataset::make("ElementwiseOp", { ArithmeticOperation::SUB }),
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datasets::SmallShapes()),
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framework::dataset::make("DataType", { DataType::U8 })),
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framework::dataset::make("InPlace", { false })))
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{
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// Validate output
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validate(CLAccessor(_target), _reference);
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}
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TEST_SUITE_END() // U8
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TEST_SUITE_END() // SUB
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TEST_SUITE_END() // DYNAMIC_FUSION
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TEST_SUITE_END() // CL
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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