/* * Copyright (c) 2018-2019 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_STACK_LAYER_FIXTURE #define ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE #include "arm_compute/core/Helpers.h" #include "arm_compute/core/TensorShape.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/utils/misc/ShapeCalculator.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/StackLayer.h" #include "tests/validation/reference/Utils.h" #include #include namespace arm_compute { namespace test { namespace validation { using namespace arm_compute::misc::shape_calculator; template class StackLayerValidationFixture : public framework::Fixture { public: template void setup(TensorShape shape_src, int axis, DataType data_type, int num_tensors) { _target = compute_target(shape_src, axis, data_type, num_tensors); _reference = compute_reference(shape_src, axis, data_type, num_tensors); } protected: template void fill(U &&tensor, unsigned int i) { library->fill_tensor_uniform(tensor, i); } TensorType compute_target(TensorShape shape_src, int axis, DataType data_type, int num_tensors) { std::vector tensors(num_tensors); std::vector src(num_tensors); // Create vector of input tensors for(int i = 0; i < num_tensors; ++i) { tensors[i] = create_tensor(shape_src, data_type); src[i] = &(tensors[i]); ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS); } // Create tensors TensorType dst; // The output tensor will be auto-initialized within the function // Create and configure function FunctionType stack; stack.configure(src, axis, &dst); // Allocate and fill the input tensors for(int i = 0; i < num_tensors; ++i) { ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS); tensors[i].allocator()->allocate(); ARM_COMPUTE_EXPECT(!tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS); // Fill input tensor fill(AccessorType(tensors[i]), i); } // Allocate output tensor dst.allocator()->allocate(); ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Compute stack function stack.run(); return dst; } SimpleTensor compute_reference(const TensorShape &shape_src, int axis, DataType data_type, int num_tensors) { std::vector> src; for(int i = 0; i < num_tensors; ++i) { src.emplace_back(std::move(SimpleTensor(shape_src, data_type, 1))); fill(src[i], i); } // Wrap around negative values const unsigned int axis_u = wrap_around(axis, static_cast(shape_src.num_dimensions() + 1)); const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_src, 1, data_type), axis_u, num_tensors); return reference::stack_layer(src, shape_dst, data_type, axis_u); } TensorType _target{}; SimpleTensor _reference{}; }; } // namespace validation } // namespace test } // namespace arm_compute #endif /* ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE */