| /* |
| * Copyright (c) 2018-2020 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. |
| */ |
| #include <complex> |
| |
| #include "arm_compute/runtime/CL/functions/CLStackLayer.h" |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| #include "src/core/CL/kernels/CLStackLayerKernel.h" |
| |
| namespace arm_compute |
| { |
| CLStackLayer::CLStackLayer() // NOLINT |
| : _input(), |
| _stack_kernels(), |
| _num_inputs(0) |
| { |
| } |
| |
| CLStackLayer::~CLStackLayer() = default; |
| |
| void CLStackLayer::configure(const std::vector<ICLTensor *> &input, int axis, ICLTensor *output) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, axis, output); |
| } |
| |
| void CLStackLayer::configure(const CLCompileContext &compile_context, const std::vector<ICLTensor *> &input, int axis, ICLTensor *output) |
| { |
| _num_inputs = input.size(); |
| _stack_kernels.reserve(_num_inputs); |
| |
| // Wrap around negative values |
| const unsigned int axis_u = wrap_around(axis, static_cast<int>(input[0]->info()->num_dimensions() + 1)); |
| |
| for(unsigned int i = 0; i < _num_inputs; i++) |
| { |
| _stack_kernels.emplace_back(std::make_unique<CLStackLayerKernel>()); |
| _stack_kernels.back()->configure(compile_context, input[i], axis_u, i, _num_inputs, output); |
| } |
| } |
| |
| Status CLStackLayer::validate(const std::vector<ITensorInfo *> &input, int axis, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input.empty()); |
| |
| // Wrap around negative values |
| const size_t rank = input[0]->num_dimensions(); |
| const unsigned int axis_u = wrap_around(axis, static_cast<int>(rank + 1)); |
| |
| const unsigned int num_inputs = input.size(); |
| |
| for(unsigned int i = 0; i < num_inputs; i++) |
| { |
| // All the tensors must have the same rank |
| ARM_COMPUTE_RETURN_ERROR_ON(input[i]->num_dimensions() != rank); |
| // Validate Kernel |
| ARM_COMPUTE_RETURN_ON_ERROR(CLStackLayerKernel::validate(input[i], axis_u, i, num_inputs, output)); |
| } |
| |
| return Status{}; |
| } |
| |
| void CLStackLayer::run() |
| { |
| for(unsigned i = 0; i < _num_inputs; i++) |
| { |
| CLScheduler::get().enqueue(*_stack_kernels[i], false); |
| } |
| } |
| } // namespace arm_compute |