| /* |
| * 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_SOFTMAXFIXTURE |
| #define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE |
| |
| #include "arm_compute/dynamic_fusion/runtime/gpu/cl/ClWorkloadRuntime.h" |
| #include "arm_compute/dynamic_fusion/sketch/attributes/SoftmaxAttributes.h" |
| #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" |
| |
| #include "tests/SimpleTensor.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/framework/Macros.h" |
| #include "tests/validation/Validation.h" |
| #include "tests/validation/reference/SoftmaxLayer.h" |
| |
| using namespace arm_compute::experimental::dynamic_fusion; |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class DynamicFusionSoftmaxValidationGenericFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, float beta, size_t axis, bool is_log) |
| { |
| _reference = compute_reference(shape, data_type, beta, axis, is_log); |
| _target = compute_target(shape, data_type, beta, axis, is_log); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor) |
| { |
| if(tensor.data_type() == DataType::F32) |
| { |
| std::uniform_real_distribution<float> distribution(-10.0f, 10.0f); |
| library->fill(tensor, distribution, 0); |
| } |
| else if(tensor.data_type() == DataType::F16) |
| { |
| arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -10.0f, 10.0f }; |
| library->fill(tensor, distribution, 0); |
| } |
| else if(!is_data_type_quantized(tensor.data_type())) |
| { |
| std::uniform_int_distribution<> distribution(0, 100); |
| library->fill(tensor, distribution, 0); |
| } |
| else |
| { |
| library->fill_tensor_uniform(tensor, 0); |
| } |
| } |
| |
| TensorType compute_target(const TensorShape &shape, DataType data_type, float beta, int32_t axis, bool is_log) |
| { |
| // Create a new workload sketch |
| CLCompileContext cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); |
| GpuWorkloadContext gpu_ctx = GpuWorkloadContext{ &cl_compile_ctx }; |
| GpuWorkloadSketch sketch{ &gpu_ctx }; |
| |
| SoftmaxAttributes softmax_attr{}; |
| softmax_attr.axis(axis).beta(beta).is_log_softmax(is_log); |
| TensorInfo src_info = sketch.create_tensor_info(shape, 1, data_type); |
| TensorInfo dst_info = sketch.create_tensor_info(shape, 1, data_type); |
| FunctionType::create_op(sketch, &src_info, &dst_info, softmax_attr); |
| |
| // Configure runtime |
| ClWorkloadRuntime runtime; |
| runtime.configure(sketch); |
| |
| // (Important) Allocate auxiliary tensor memory if there are any |
| // Instead of using ACL allocated memory, the user can choose to import memory into the tensors |
| 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 src{}; |
| TensorType dst{}; |
| |
| // Initialize user tensors |
| src.allocator()->init(src_info); |
| dst.allocator()->init(dst_info); |
| |
| // Allocate and fill user tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| fill(AccessorType(src)); |
| |
| // Run runtime |
| runtime.run({ &src, &dst }); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, float beta, int32_t axis, bool is_log) |
| { |
| // Create reference |
| SimpleTensor<T> src{ shape, data_type, 1 }; |
| |
| // Fill reference |
| fill(src); |
| |
| return reference::softmax_layer<T>(src, beta, axis, is_log); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class DynamicFusionSoftmaxValidationFixture : public DynamicFusionSoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, float beta, size_t axis, bool is_log) |
| { |
| DynamicFusionSoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, |
| data_type, |
| beta, |
| axis, |
| is_log); |
| } |
| }; |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| |
| #endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE */ |