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Diffstat (limited to 'tests/validation/dynamic_fusion/gpu/cl/Mul.cpp')
-rw-r--r-- | tests/validation/dynamic_fusion/gpu/cl/Mul.cpp | 223 |
1 files changed, 223 insertions, 0 deletions
diff --git a/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp b/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp new file mode 100644 index 0000000000..a9e8f9c15f --- /dev/null +++ b/tests/validation/dynamic_fusion/gpu/cl/Mul.cpp @@ -0,0 +1,223 @@ +/* + * Copyright (c) 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/GpuMul.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/operators/MulFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +/* Synced with tests/validation/CL/PixelwiseMultiplication.cpp from the standard interface. + * + * Difference | Why the difference + * No integer tests | Not supported yet + * No quantized tests | Not supported yet + * No convert policy tests | Not needed as convert policy is ignored by floating types + * No scale tests | Not supported yet + * No rounding modes tests | Not supported yet + * No in place tests | Not supported yet + * No activation tests | Not needed in dynamic fusion interface + * + */ +namespace +{ +constexpr AbsoluteTolerance<float> tolerance_f16(0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ +constexpr AbsoluteTolerance<float> tolerance_f32(0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +} // namespace +TEST_SUITE(CL) +TEST_SUITE(DYNAMIC_FUSION) +TEST_SUITE(MUL) + +// *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::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Unsupported data type U8 + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), // Unsupported data type S8 + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), // Unsupported data type S16 + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Unsupported data type S32 + 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_SIGNED + 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::F32), // 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::F16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S8), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8_SIGNED), + 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::F32), + TensorInfo(TensorShape(32U, 13U, 2U, 2), 1, DataType::F32), + })), + framework::dataset::make("Expected", { true, true, false, false, false, false, false, false, false, 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 }; + + // Validate Elementwise Mul + auto lhs_info = sketch.create_tensor_info(input1_info); + auto rhs_info = sketch.create_tensor_info(input2_info); + + bool res = bool(GpuMul::validate_op(sketch, &lhs_info, &rhs_info)); + ARM_COMPUTE_EXPECT(res == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template <typename T> +using DynamicFusionCLMulFixture = DynamicFusionMulOneOpValidationFixture<CLTensor, CLAccessor, GpuMul, T>; +template <typename T> +using DynamicFusionCLMulBroadcastFixture = DynamicFusionMulBroadcastValidationFixture<CLTensor, CLAccessor, GpuMul, T>; +template <typename T> +using DynamicFusionCLMulTwoOpsFixture = DynamicFusionMulTwoOpsValidationFixture<CLTensor, CLAccessor, GpuMul, T>; + +TEST_SUITE(F16) +FIXTURE_DATA_TEST_CASE(RunSmallOneOp, + DynamicFusionCLMulFixture<half>, + framework::DatasetMode::ALL, + combine(combine(datasets::SmallShapes(), + framework::dataset::make("DataType", { DataType::F16 })), + framework::dataset::make("InPlace", { false }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f16); +} + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, + DynamicFusionCLMulBroadcastFixture<half>, + framework::DatasetMode::PRECOMMIT, + combine(combine(datasets::TemporaryLimitedSmallShapesBroadcast(), + framework::dataset::make("DataType", { DataType::F16 })), + framework::dataset::make("InPlace", { false }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f16); +} + +FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp, + DynamicFusionCLMulBroadcastFixture<half>, + framework::DatasetMode::NIGHTLY, + combine(combine(datasets::TemporaryLimitedLargeShapesBroadcast(), + framework::dataset::make("DataType", { DataType::F16 })), + framework::dataset::make("InPlace", { false }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f16); +} +TEST_SUITE_END() // F16 + +TEST_SUITE(F32) +FIXTURE_DATA_TEST_CASE(RunSmallOneOp, + DynamicFusionCLMulFixture<float>, + framework::DatasetMode::PRECOMMIT, + combine(combine(datasets::SmallShapes(), + framework::dataset::make("DataType", { DataType::F32 })), + framework::dataset::make("InPlace", { false }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLargeOneOp, + DynamicFusionCLMulFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(datasets::LargeShapes(), + framework::dataset::make("DataType", { DataType::F32 })), + framework::dataset::make("InPlace", { false }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcastOneOp, + DynamicFusionCLMulBroadcastFixture<float>, + framework::DatasetMode::PRECOMMIT, + combine(combine(datasets::TemporaryLimitedSmallShapesBroadcast(), + framework::dataset::make("DataType", { DataType::F32 })), + framework::dataset::make("InPlace", { false }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLargeBroadcastOneOp, + DynamicFusionCLMulBroadcastFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(datasets::TemporaryLimitedLargeShapesBroadcast(), + framework::dataset::make("DataType", { DataType::F32 })), + framework::dataset::make("InPlace", { false }))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunSmallTwoOps, + DynamicFusionCLMulTwoOpsFixture<float>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(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_f32); +} +TEST_SUITE_END() // F32 + +TEST_SUITE_END() // MUL +TEST_SUITE_END() // DYNAMIC_FUSION +TEST_SUITE_END() // CL +} // namespace validation +} // namespace test +} // namespace arm_compute |