| /* |
| * 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 "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h" |
| |
| #include "arm_compute/core/NEON/kernels/NEBatchConcatenateLayerKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEDepthConcatenateLayerKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEHeightConcatenateLayerKernel.h" |
| #include "arm_compute/core/NEON/kernels/NEWidthConcatenateLayerKernel.h" |
| |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/runtime/NEON/NEScheduler.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "support/MemorySupport.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| NEConcatenation::NEConcatenation() |
| : _concat_kernels(), _num_inputs(0), _axis(0) |
| { |
| } |
| |
| void NEConcatenation::configure(const std::vector<const ITensorInfo *> &inputs_vector, ITensorInfo *output, size_t axis) |
| { |
| ARM_COMPUTE_ERROR_ON(output == nullptr); |
| |
| _axis = axis; |
| _num_inputs = inputs_vector.size(); |
| |
| TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(inputs_vector, axis); |
| |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output, output_shape, 1, inputs_vector[0]->data_type()); |
| ARM_COMPUTE_ERROR_THROW_ON(NEConcatenateLayer::validate(inputs_vector, output, axis)); |
| |
| unsigned int offset = 0; |
| |
| for(unsigned int i = 0; i < _num_inputs; ++i) |
| { |
| switch(axis) |
| { |
| case Window::DimX: |
| { |
| auto kernel = support::cpp14::make_unique<NEWidthConcatenateLayerKernel>(); |
| kernel->configure(inputs_vector.at(i), offset, output); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| case Window::DimY: |
| { |
| auto kernel = support::cpp14::make_unique<NEHeightConcatenateLayerKernel>(); |
| kernel->configure(inputs_vector.at(i), offset, output); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| case Window::DimZ: |
| { |
| auto kernel = support::cpp14::make_unique<NEDepthConcatenateLayerKernel>(); |
| kernel->configure(inputs_vector.at(i), offset, output); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| case 3: |
| { |
| auto kernel = support::cpp14::make_unique<NEBatchConcatenateLayerKernel>(); |
| kernel->configure(inputs_vector.at(i), offset, output); |
| _concat_kernels.emplace_back(std::move(kernel)); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Axis not supported"); |
| } |
| offset += inputs_vector.at(i)->dimension(axis); |
| } |
| } |
| |
| Status NEConcatenation::validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); |
| ARM_COMPUTE_RETURN_ERROR_ON(inputs_vector.size() < 2); |
| |
| unsigned int offset = 0; |
| for(const auto &input : inputs_vector) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); |
| switch(axis) |
| { |
| case Window::DimX: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(NEWidthConcatenateLayerKernel::validate(input, offset, output)); |
| break; |
| } |
| case Window::DimY: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(NEHeightConcatenateLayerKernel::validate(input, offset, output)); |
| break; |
| } |
| case Window::DimZ: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(NEDepthConcatenateLayerKernel::validate(input, offset, output)); |
| break; |
| } |
| case 3: |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(NEBatchConcatenateLayerKernel::validate(input, offset, output)); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Axis not supported"); |
| } |
| offset += input->dimension(axis); |
| } |
| |
| if(output->total_size() != 0) |
| { |
| TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_concatenate_shape(inputs_vector, axis); |
| ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() != output->tensor_shape().total_size()); |
| } |
| |
| return Status{}; |
| } |
| |
| void NEConcatenation::run(ITensorPack &tensors) |
| { |
| if(tensors.empty()) |
| { |
| ARM_COMPUTE_ERROR("No inputs provided"); |
| } |
| |
| if(static_cast<int>(tensors.size() - 1) != static_cast<int>(_num_inputs)) |
| { |
| ARM_COMPUTE_ERROR("Configured with different number of inputs"); |
| } |
| |
| int i = 0; |
| for(auto &k : _concat_kernels) |
| { |
| ITensorPack pack; |
| pack.add_tensor(TensorType::ACL_SRC, tensors.get_const_tensor(ACL_SRC_VEC + i)); |
| pack.add_tensor(TensorType::ACL_DST, tensors.get_tensor(ACL_DST)); |
| NEScheduler::get().schedule_op(k.get(), Window::DimY, pack); |
| ++i; |
| } |
| } |
| } // namespace experimental |
| |
| struct NEConcatenateLayer::Impl |
| { |
| std::vector<const ITensor *> srcs{}; |
| ITensor *dst{ nullptr }; |
| unsigned int num_inputs{ 0 }; |
| unsigned int axis{ 0 }; |
| std::unique_ptr<experimental::NEConcatenation> op{ nullptr }; |
| }; |
| |
| NEConcatenateLayer::NEConcatenateLayer() |
| : _impl(support::cpp14::make_unique<Impl>()) |
| { |
| } |
| |
| NEConcatenateLayer::NEConcatenateLayer(NEConcatenateLayer &&) = default; |
| |
| NEConcatenateLayer &NEConcatenateLayer::operator=(NEConcatenateLayer &&) = default; |
| |
| NEConcatenateLayer::~NEConcatenateLayer() = default; |
| |
| void NEConcatenateLayer::configure(std::vector<const ITensor *> inputs_vector, ITensor *output, size_t axis) |
| { |
| ARM_COMPUTE_ERROR_ON(output == nullptr); |
| |
| _impl->srcs = inputs_vector; |
| _impl->dst = output; |
| _impl->axis = axis; |
| _impl->num_inputs = inputs_vector.size(); |
| _impl->op = arm_compute::support::cpp14::make_unique<experimental::NEConcatenation>(); |
| |
| std::vector<const ITensorInfo *> inputs_vector_info; |
| for(unsigned int i = 0; i < inputs_vector.size(); ++i) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(inputs_vector.at(i)); |
| inputs_vector_info.emplace_back(inputs_vector.at(i)->info()); |
| } |
| _impl->op->configure(inputs_vector_info, _impl->dst->info(), axis); |
| } |
| |
| Status NEConcatenateLayer::validate(const std::vector<const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis) |
| { |
| return experimental::NEConcatenation::validate(inputs_vector, output, axis); |
| } |
| |
| void NEConcatenateLayer::run() |
| { |
| ITensorPack pack; |
| for(unsigned i = 0; i < _impl->num_inputs; ++i) |
| { |
| pack.add_tensor(TensorType::ACL_SRC_VEC + i, _impl->srcs.at(i)); |
| } |
| pack.add_tensor(TensorType::ACL_DST, _impl->dst); |
| |
| _impl->op->run(pack); |
| } |
| } // namespace arm_compute |