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Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h')
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1 files changed, 235 insertions, 0 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h new file mode 100644 index 0000000000..0530707c38 --- /dev/null +++ b/tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h @@ -0,0 +1,235 @@ +/* +* 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. +*/ +#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE +#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE + +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h" +#include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" +#include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h" + +#include "tests/Globals.h" +#include "tests/framework/Fixture.h" +#include "tests/framework/Macros.h" +#include "tests/validation/reference/PixelWiseMultiplication.h" + +using namespace arm_compute::experimental::dynamic_fusion; + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +/* We use a separate test fixture for Multiplication op instead of reusing ElementwiseBinaryFixture to avoid exposing + * the internal enum ElementwiseOp to the public utils/TypePrinters.h as required by the data test case macros + * to print the test data. + */ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DynamicFusionMulValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops = false) + { + _data_type = data_type; + _is_inplace = is_inplace; + _fuse = fuse_two_ops; + ARM_COMPUTE_ERROR_ON_MSG(_fuse && shape2.total_size() == 0, "No shape2 provided for fusion of two ops."); + ARM_COMPUTE_ERROR_ON_MSG(_fuse && _is_inplace, "In place for fusing case not supported yet."); + _target = compute_target(shape0, shape1, shape2); + _reference = compute_reference(shape0, shape1, shape2); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2) + { + // 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 first multiplication op + TensorInfo lhs_info = sketch.create_tensor_info(TensorInfo(shape0, 1, _data_type)); + TensorInfo rhs_info = sketch.create_tensor_info(TensorInfo(shape1, 1, _data_type)); + TensorInfo dst_info = sketch.create_tensor_info(); + + TensorInfo rhs_info_fuse; + + ITensorInfo *ans_info = FunctionType::create_op(sketch, &lhs_info, &rhs_info); + + if(_fuse) + { + rhs_info_fuse = sketch.create_tensor_info(TensorInfo(shape2, 1, _data_type)); + ITensorInfo *ans2_info = FunctionType::create_op(sketch, ans_info, &rhs_info_fuse); + GpuOutput::create_op(sketch, ans2_info, &dst_info); + } + else + { + GpuOutput::create_op(sketch, ans_info, &dst_info); + } + + // Configure runtime + ClWorkloadRuntime runtime; + runtime.configure(sketch); + + // (Important) Allocate auxiliary tensor memory if there are any + for(auto &data : runtime.get_auxiliary_tensors()) + { + CLTensor *tensor = std::get<0>(data); + TensorInfo info = std::get<1>(data); + AuxMemoryInfo aux_mem_req = std::get<2>(data); + tensor->allocator()->init(info, aux_mem_req.alignment); + tensor->allocator()->allocate(); // Use ACL allocated memory + } + + // Construct user tensors + TensorType t_lhs{}; + TensorType t_rhs{}; + TensorType t_rhs_fuse{}; + TensorType t_dst{}; + + // Initialize user tensors + t_lhs.allocator()->init(lhs_info); + t_rhs.allocator()->init(rhs_info); + t_dst.allocator()->init(dst_info); + if(_fuse) + { + t_rhs_fuse.allocator()->init(rhs_info_fuse); + } + + // Allocate and fill user tensors + // Instead of using ACL allocator, the user can choose to import memory into the tensors + t_lhs.allocator()->allocate(); + t_rhs.allocator()->allocate(); + t_dst.allocator()->allocate(); + if(_fuse) + { + t_rhs_fuse.allocator()->allocate(); + } + + fill(AccessorType(t_lhs), 0); + fill(AccessorType(t_rhs), 1); + if(_fuse) + { + fill(AccessorType(t_rhs_fuse), 2); + } + + // Run runtime + if(_fuse) + { + runtime.run({ &t_lhs, &t_rhs, &t_rhs_fuse, &t_dst }); + } + else + { + runtime.run({ &t_lhs, &t_rhs, &t_dst }); + } + + return t_dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2) + { + // Create reference + SimpleTensor<T> ref_lhs{ shape0, _data_type, 1, QuantizationInfo() }; + SimpleTensor<T> ref_rhs{ shape1, _data_type, 1, QuantizationInfo() }; + SimpleTensor<T> ref_rhs_fuse{ shape2, _data_type, 1, QuantizationInfo() }; + + // Fill reference + fill(ref_lhs, 0); + fill(ref_rhs, 1); + SimpleTensor<T> ref_dst = reference::pixel_wise_multiplication<T, T, T>(ref_lhs, + ref_rhs, + 1.f, + ConvertPolicy::SATURATE, + RoundingPolicy::TO_NEAREST_UP, + _data_type, + QuantizationInfo()); + if(_fuse) + { + fill(ref_rhs_fuse, 2); + SimpleTensor<T> ref_dst_fuse = reference::pixel_wise_multiplication<T, T, T>(ref_dst, + ref_rhs_fuse, + 1.f, + ConvertPolicy::SATURATE, + RoundingPolicy::TO_NEAREST_UP, + _data_type, + QuantizationInfo()); + return ref_dst_fuse; + } + return ref_dst; + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + DataType _data_type{}; + bool _is_inplace{ false }; + bool _fuse{ false }; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DynamicFusionMulOneOpValidationFixture : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape0, DataType data_type, bool is_inplace) + { + DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape0, TensorShape(), data_type, is_inplace); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DynamicFusionMulBroadcastValidationFixture : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, bool is_inplace) + { + DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, TensorShape(), data_type, is_inplace); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DynamicFusionMulTwoOpsValidationFixture : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops) + { + DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, shape2, data_type, is_inplace, fuse_two_ops); + } +}; + +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE */ |