arm_compute v18.05
diff --git a/src/graph/nodes/DepthConcatenateLayerNode.cpp b/src/graph/nodes/DepthConcatenateLayerNode.cpp
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+/*
+ * 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/DepthConcatenateLayerNode.h"
+
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/graph/Graph.h"
+#include "arm_compute/graph/INodeVisitor.h"
+
+namespace arm_compute
+{
+namespace graph
+{
+DepthConcatenateLayerNode::DepthConcatenateLayerNode(unsigned int total_nodes)
+ : _total_nodes(total_nodes), _is_enabled(true)
+{
+ _input_edges.resize(_total_nodes, EmptyEdgeID);
+ _outputs.resize(1, NullTensorID);
+}
+
+void DepthConcatenateLayerNode::set_enabled(bool is_enabled)
+{
+ _is_enabled = is_enabled;
+}
+
+bool DepthConcatenateLayerNode::is_enabled() const
+{
+ return _is_enabled;
+}
+
+TensorDescriptor DepthConcatenateLayerNode::compute_output_descriptor(const std::vector<TensorDescriptor> &input_descriptors)
+{
+ ARM_COMPUTE_ERROR_ON(input_descriptors.size() == 0);
+
+ TensorDescriptor output_descriptor = input_descriptors[0];
+
+ size_t max_x = 0;
+ size_t max_y = 0;
+ size_t depth = 0;
+
+ for(const auto &input_descriptor : input_descriptors)
+ {
+ max_x = std::max(input_descriptor.shape.x(), max_x);
+ max_y = std::max(input_descriptor.shape.y(), max_y);
+ depth += input_descriptor.shape.z();
+ }
+
+ output_descriptor.shape.set(0, max_x);
+ output_descriptor.shape.set(1, max_y);
+ output_descriptor.shape.set(2, depth);
+
+ return output_descriptor;
+}
+
+bool DepthConcatenateLayerNode::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 DepthConcatenateLayerNode::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);
+ }
+
+ return output_info;
+}
+
+NodeType DepthConcatenateLayerNode::type() const
+{
+ return NodeType::DepthConcatenateLayer;
+}
+
+void DepthConcatenateLayerNode::accept(INodeVisitor &v)
+{
+ v.visit(*this);
+}
+} // namespace graph
+} // namespace arm_compute
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