/* * Copyright (c) 2019 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 ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE #define ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/Types.h" #include "tests/AssetsLibrary.h" #include "tests/Globals.h" #include "tests/IAccessor.h" #include "tests/framework/Asserts.h" #include "tests/framework/Fixture.h" #include "tests/validation/Helpers.h" #include "tests/validation/reference/MeanStdDevNormalizationLayer.h" namespace arm_compute { namespace test { namespace validation { template class MeanStdDevNormalizationLayerValidationFixture : public framework::Fixture { public: template void setup(TensorShape shape, DataType dt, bool in_place, float epsilon = 1e-8f) { _data_type = dt; _target = compute_target(shape, dt, in_place, epsilon); _reference = compute_reference(shape, dt, epsilon); } protected: template void fill(U &&src_tensor) { const float min_bound = -1.f; const float max_bound = 1.f; std::uniform_real_distribution<> distribution(min_bound, max_bound); library->fill(src_tensor, distribution, 0); } TensorType compute_target(TensorShape shape, DataType dt, bool in_place, float epsilon) { // Create tensors TensorType src = create_tensor(shape, dt, 1); TensorType dst; TensorType *dst_ptr = in_place ? &src : &dst; // Create and configure function FunctionType norm; norm.configure(&src, dst_ptr, epsilon); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Allocate tensors src.allocator()->allocate(); ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); if(!in_place) { dst.allocator()->allocate(); ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); } // Fill tensors fill(AccessorType(src)); // Compute function norm.run(); if(in_place) { return src; } else { return dst; } } SimpleTensor compute_reference(const TensorShape &shape, DataType dt, float epsilon) { // Create reference SimpleTensor ref_src{ shape, dt, 1 }; // Fill reference fill(ref_src); return reference::mean_std_normalization_layer(ref_src, epsilon); } TensorType _target{}; SimpleTensor _reference{}; DataType _data_type{}; }; } // namespace validation } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_MEAN_STDDEV_NORMALIZATION_LAYER_FIXTURE */