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/*
* 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
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