| /* |
| * 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. |
| */ |
| #include "arm_compute/graph/nodes/StackLayerNode.h" |
| |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/graph/Graph.h" |
| #include "arm_compute/graph/INodeVisitor.h" |
| #include "arm_compute/graph/Utils.h" |
| |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| namespace arm_compute |
| { |
| namespace graph |
| { |
| StackLayerNode::StackLayerNode(unsigned int total_nodes, int axis) |
| : _total_nodes(total_nodes), _axis(axis) |
| { |
| _input_edges.resize(_total_nodes, EmptyEdgeID); |
| _outputs.resize(1, NullTensorID); |
| } |
| |
| int StackLayerNode::axis() const |
| { |
| return _axis; |
| } |
| |
| TensorDescriptor StackLayerNode::compute_output_descriptor(const std::vector<TensorDescriptor> &input_descriptors, |
| int axis) |
| { |
| ARM_COMPUTE_ERROR_ON(input_descriptors.size() == 0); |
| |
| TensorDescriptor output_descriptor = input_descriptors[0]; |
| |
| const TensorInfo input_info(input_descriptors[0].shape, 1, input_descriptors[0].data_type); |
| const unsigned int num_tensors = input_descriptors.size(); |
| |
| output_descriptor.shape = arm_compute::misc::shape_calculator::compute_stack_shape(input_info, axis, num_tensors); |
| |
| return output_descriptor; |
| } |
| |
| bool StackLayerNode::forward_descriptors() |
| { |
| if(_outputs[0] != NullTensorID) |
| { |
| Tensor *dst = output(0); |
| ARM_COMPUTE_ERROR_ON(dst == nullptr); |
| dst->desc() = configure_output(0); |
| return true; |
| } |
| return false; |
| } |
| |
| TensorDescriptor StackLayerNode::configure_output(size_t idx) const |
| { |
| ARM_COMPUTE_UNUSED(idx); |
| ARM_COMPUTE_ERROR_ON(idx >= _outputs.size()); |
| |
| // Check if all input tensors are set |
| bool are_all_inputs_set = std::all_of(std::begin(_input_edges), std::end(_input_edges), [](const EdgeID & eid) |
| { |
| return eid != EmptyEdgeID; |
| }); |
| |
| TensorDescriptor output_info = {}; |
| |
| if(are_all_inputs_set) |
| { |
| std::vector<TensorDescriptor> inputs_descriptors; |
| for(unsigned int i = 0; i < _input_edges.size(); ++i) |
| { |
| const Tensor *t = _graph->tensor(input_id(i)); |
| ARM_COMPUTE_ERROR_ON(t == nullptr); |
| inputs_descriptors.push_back(t->desc()); |
| } |
| output_info = compute_output_descriptor(inputs_descriptors, _axis); |
| } |
| |
| return output_info; |
| } |
| |
| NodeType StackLayerNode::type() const |
| { |
| return NodeType::StackLayer; |
| } |
| |
| void StackLayerNode::accept(INodeVisitor &v) |
| { |
| v.visit(*this); |
| } |
| } // namespace graph |
| } // namespace arm_compute |