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/*
* 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/graph/mutators/SplitLayerSubTensorMutator.h"
#include "arm_compute/graph/Graph.h"
#include "arm_compute/graph/Logger.h"
#include "arm_compute/graph/Utils.h"
#include "arm_compute/graph/algorithms/TopologicalSort.h"
#include "arm_compute/graph/backends/BackendRegistry.h"
#include "arm_compute/graph/nodes/SplitLayerNode.h"
#include "arm_compute/core/utils/misc/Cast.h"
#include "arm_compute/core/utils/misc/Iterable.h"
namespace arm_compute
{
namespace graph
{
const char *SplitLayerSubTensorMutator::name()
{
return "SplitLayerSubTensorMutator";
}
IGraphMutator::MutationType SplitLayerSubTensorMutator::type() const
{
return IGraphMutator::MutationType::Backend;
}
void SplitLayerSubTensorMutator::mutate(Graph &g)
{
// Early exit if no Split layers exist in graph
if(g.nodes(NodeType::SplitLayer).empty())
{
return;
}
// Perform topological sort
std::vector<NodeID> topological_sorted_node_ids = dfs(g);
// Should be in reverse order of execution
for(auto &node_id : arm_compute::utils::iterable::reverse_iterate(topological_sorted_node_ids))
{
INode *node = g.node(node_id);
if(node != nullptr && node->type() == NodeType::SplitLayer && node->input(0) != nullptr)
{
// Get output tensor
Tensor *input_tensor = node->input(0);
// Check that all tensor have the same target and are valid
bool is_valid = std::all_of(node->outputs().cbegin(), node->outputs().cend(),
[&](const TensorID & tid)
{
return (g.tensor(tid) != nullptr) && (g.tensor(tid)->desc().target == input_tensor->desc().target);
});
// Create subtensors
if(is_valid && is_target_supported(input_tensor->desc().target))
{
ARM_COMPUTE_LOG_GRAPH_VERBOSE("Using sub-tensors for the node with ID : "
<< node->id() << " and name : " << node->name() << std::endl);
auto *split_node = arm_compute::utils::cast::polymorphic_downcast<SplitLayerNode *>(node);
const int axis = split_node->axis();
const unsigned int num_splits = split_node->num_splits();
const bool extend_parent = (axis < 2);
// Create sub-tensor handles
for(unsigned int i = 0; i < node->outputs().size(); ++i)
{
Tensor *output_tensor = node->output(i);
const TensorShape output_shape = output_tensor->desc().shape;
Coordinates coords;
std::tie(std::ignore, coords) = split_node->compute_output_descriptor(input_tensor->desc(), num_splits, axis, i);
backends::IDeviceBackend &backend = backends::BackendRegistry::get().get_backend(output_tensor->desc().target);
std::unique_ptr<ITensorHandle> handle = backend.create_subtensor(input_tensor->handle(), output_shape, coords, extend_parent);
output_tensor->set_handle(std::move(handle));
}
}
}
}
}
} // namespace graph
} // namespace arm_compute
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