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Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h')
| -rw-r--r-- | tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h | 158 |
1 files changed, 158 insertions, 0 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h new file mode 100644 index 0000000000..175d4ff889 --- /dev/null +++ b/tests/validation/fixtures/dynamic_fusion/operators/SoftmaxFixture.h @@ -0,0 +1,158 @@ +/* +* Copyright (c) 2023-2024 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 ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE_H + +#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/framework/Fixture.h" +#include "tests/framework/Macros.h" +#include "tests/SimpleTensor.h" +#include "tests/validation/reference/SoftmaxLayer.h" +#include "tests/validation/Validation.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: + 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 context = GpuWorkloadContext{&cl_compile_ctx}; + GpuWorkloadSketch sketch{&context}; + + SoftmaxAttributes softmax_attr{}; + softmax_attr.axis(axis).beta(beta).is_log_softmax(is_log); + ITensorInfo *src_info = context.create_tensor_info(shape, 1, data_type); + ITensorInfo *dst_info = context.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: + 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 // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_SOFTMAXFIXTURE_H |