| /* |
| * 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_INSTANCENORMALIZATION_FIXTURE |
| #define ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/runtime/Tensor.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/reference/InstanceNormalizationLayer.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class InstanceNormalizationLayerValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place) |
| { |
| _target = compute_target(shape, data_type, data_layout, in_place); |
| _reference = compute_reference(shape, data_type); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor) |
| { |
| std::uniform_real_distribution<> distribution(1.f, 2.f); |
| library->fill(tensor, distribution, 0); |
| } |
| |
| TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place) |
| { |
| if(data_layout == DataLayout::NHWC) |
| { |
| permute(shape, PermutationVector(2U, 0U, 1U)); |
| } |
| |
| std::mt19937 gen(library->seed()); |
| std::uniform_real_distribution<float> dist_gamma(1.f, 2.f); |
| std::uniform_real_distribution<float> dist_beta(-2.f, 2.f); |
| std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f); |
| |
| const float gamma = dist_gamma(gen); |
| const float beta = dist_beta(gen); |
| const float epsilon = dist_epsilon(gen); |
| |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); |
| TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); |
| |
| // Create and configure function |
| FunctionType instance_norm_func; |
| instance_norm_func.configure(&src, in_place ? nullptr : &dst, gamma, beta, epsilon); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| if(!in_place) |
| { |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| if(!in_place) |
| { |
| dst.allocator()->allocate(); |
| } |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| if(!in_place) |
| { |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| // Fill tensors |
| fill(AccessorType(src)); |
| |
| // Compute function |
| instance_norm_func.run(); |
| |
| if(in_place) |
| { |
| return src; |
| } |
| else |
| { |
| return dst; |
| } |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type) |
| { |
| std::mt19937 gen(library->seed()); |
| std::uniform_real_distribution<float> dist_gamma(1.f, 2.f); |
| std::uniform_real_distribution<float> dist_beta(-2.f, 2.f); |
| std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f); |
| |
| const float gamma = dist_gamma(gen); |
| const float beta = dist_beta(gen); |
| const float epsilon = dist_epsilon(gen); |
| |
| // Create reference |
| SimpleTensor<T> src{ shape, data_type }; |
| |
| // Fill reference |
| fill(src); |
| |
| return reference::instance_normalization<T>(src, gamma, beta, epsilon); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE */ |