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Diffstat (limited to 'src/graph/nodes/ConcatenateLayerNode.cpp')
| -rw-r--r-- | src/graph/nodes/ConcatenateLayerNode.cpp | 141 |
1 files changed, 141 insertions, 0 deletions
diff --git a/src/graph/nodes/ConcatenateLayerNode.cpp b/src/graph/nodes/ConcatenateLayerNode.cpp new file mode 100644 index 0000000000..ade3f6e1a9 --- /dev/null +++ b/src/graph/nodes/ConcatenateLayerNode.cpp @@ -0,0 +1,141 @@ +/* + * Copyright (c) 2018 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/ConcatenateLayerNode.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 +{ +ConcatenateLayerNode::ConcatenateLayerNode(unsigned int total_nodes, DataLayoutDimension axis) + : _total_nodes(total_nodes), _axis(axis), _is_enabled(true) +{ + _input_edges.resize(_total_nodes, EmptyEdgeID); + _outputs.resize(1, NullTensorID); +} + +void ConcatenateLayerNode::set_enabled(bool is_enabled) +{ + _is_enabled = is_enabled; +} + +bool ConcatenateLayerNode::is_enabled() const +{ + return _is_enabled; +} + +DataLayoutDimension ConcatenateLayerNode::concatenation_axis() const +{ + return _axis; +} + +TensorDescriptor ConcatenateLayerNode::compute_output_descriptor(const std::vector<TensorDescriptor> &input_descriptors, + DataLayoutDimension axis) +{ + ARM_COMPUTE_ERROR_ON(input_descriptors.size() == 0); + + TensorDescriptor output_descriptor = input_descriptors[0]; + const int axis_idx = get_dimension_idx(output_descriptor, axis); + + // Extract shapes + std::vector<const TensorShape *> shapes; + for(auto &input_descriptor : input_descriptors) + { + shapes.emplace_back(&input_descriptor.shape); + } + + // Calculate output shape + if(axis_idx == 0) + { + output_descriptor.shape = arm_compute::misc::shape_calculator::calculate_width_concatenate_shape(shapes); + } + else if(axis_idx == 2) + { + output_descriptor.shape = arm_compute::misc::shape_calculator::calculate_depth_concatenate_shape(shapes); + } + else + { + ARM_COMPUTE_ERROR("Unsupported concatenation axis!"); + } + + return output_descriptor; +} + +bool ConcatenateLayerNode::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 ConcatenateLayerNode::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 ConcatenateLayerNode::type() const +{ + return NodeType::ConcatenateLayer; +} + +void ConcatenateLayerNode::accept(INodeVisitor &v) +{ + v.visit(*this); +} +} // namespace graph +} // namespace arm_compute
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