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/*
* Copyright (c) 2017-2018 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/ResidualLayer.h"
#include "arm_compute/graph/Error.h"
#include "arm_compute/graph/Graph.h"
#include "arm_compute/graph/NodeContext.h"
#include "arm_compute/graph/OperationRegistry.h"
#include "arm_compute/graph/SubGraph.h"
#include "arm_compute/graph/Tensor.h"
#include "arm_compute/runtime/IFunction.h"
#include "support/ToolchainSupport.h"
#include "utils/Utils.h"
#include <memory>
#include <tuple>
#include <vector>
using namespace arm_compute::graph;
/** Residual function */
class ResidualFunction final : public arm_compute::IFunction
{
public:
/** Default Constructor */
ResidualFunction(GraphContext &ctx, ITensorObject *output)
: _ctx(ctx), _input(nullptr), _output(output), _func(nullptr), _graphs(), _graph_outputs()
{
}
/** Prevent instances from being copy constructed */
ResidualFunction(const ResidualFunction &) = delete;
/** Prevent instances from being copy assigned */
const ResidualFunction &operator=(const ResidualFunction &) = delete;
/** Prevent instances from being move constructed */
ResidualFunction(ResidualFunction &&) = delete;
/** Prevent instances from being move assigned */
ResidualFunction &operator=(ResidualFunction &&) = delete;
/** Default destructor */
~ResidualFunction() override = default;
/** Set the input (when using only one sub graph)
*
* @param[in] input Input to set
*/
void set_input(std::unique_ptr<ITensorObject> input)
{
_input = std::move(input);
}
/** Registers graph to be executed by the residual function
*
* @param[in] graph Graph to register
* @param[in] output Output to register
*/
void register_graph(std::unique_ptr<Graph> graph, std::unique_ptr<ITensorObject> output)
{
_graphs.push_back(std::move(graph));
_graph_outputs.push_back(std::move(output));
}
/** Configure the function */
void configure()
{
ARM_COMPUTE_ERROR_ON(_graphs.size() < 1 || _graphs.size() > 2);
TargetHint target_hint = _ctx.hints().target_hint();
// Create node context
NodeContext node_ctx(OperationType::ArithmeticAddition);
node_ctx.set_target(target_hint);
if(_graphs.size() == 1)
{
arm_compute::ITensor *in = _input->tensor();
node_ctx.add_input(in);
}
for(auto &o : _graph_outputs)
{
arm_compute::ITensor *in = o->tensor();
node_ctx.add_input(in);
}
arm_compute::ITensor *out = _output->tensor();
auto_init_if_empty(*out->info(), *_graph_outputs[0]->tensor()->info());
node_ctx.add_output(out);
_func = OperationRegistry::get().find_operation(OperationType::ArithmeticAddition, target_hint)->configure(node_ctx);
for(auto &o : _graph_outputs)
{
o->allocate();
}
}
// Inherited methods overriden:
void run() override
{
ARM_COMPUTE_ERROR_ON(_graphs.size() < 1 || _graphs.size() > 2);
for(auto &g : _graphs)
{
ARM_COMPUTE_ERROR_ON(g.get() == nullptr);
g->run();
}
_func->run();
}
private:
GraphContext _ctx;
std::unique_ptr<ITensorObject> _input;
ITensorObject *_output;
std::unique_ptr<arm_compute::IFunction> _func;
std::vector<std::unique_ptr<Graph>> _graphs;
std::vector<std::unique_ptr<ITensorObject>> _graph_outputs;
};
std::unique_ptr<arm_compute::IFunction> ResidualLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output)
{
ARM_COMPUTE_ERROR_ON_UNALLOCATED_TENSOR_OBJECT(input, output);
ARM_COMPUTE_ERROR_ON(dynamic_cast<Tensor *>(input) == nullptr);
ARM_COMPUTE_ERROR_ON(dynamic_cast<Tensor *>(output) == nullptr);
// Create residual function
auto func = arm_compute::support::cpp14::make_unique<ResidualFunction>(ctx, output);
if(_sub_graphs.size() == 1)
{
std::unique_ptr<ITensorObject> original_in;
original_in = arm_compute::support::cpp14::make_unique<SubTensor>(*dynamic_cast<Tensor *>(input),
input->tensor()->info()->tensor_shape(),
Coordinates());
func->set_input(std::move(original_in));
}
// Constuct all sub-graphs given the input/output
for(auto &sg : _sub_graphs)
{
ARM_COMPUTE_ERROR_ON(sg.get() == nullptr);
// IO buffers
std::unique_ptr<ITensorObject> in;
std::unique_ptr<ITensorObject> out;
std::unique_ptr<ITensorObject> func_in;
// Create input sub-tensor
if(!sg->has_input())
{
in = arm_compute::support::cpp14::make_unique<SubTensor>(*dynamic_cast<Tensor *>(input),
input->tensor()->info()->tensor_shape(),
Coordinates());
}
// Create output sub-tensor
if(!sg->has_output())
{
ITensorInfo *info = input->tensor()->info();
func_in = arm_compute::support::cpp14::make_unique<Tensor>(TensorInfo(info->num_channels(), info->data_type(), info->fixed_point_position()));
func_in->set_target(ctx.hints().target_hint());
out = arm_compute::support::cpp14::make_unique<SubTensor>(func_in->tensor(),
TensorShape(),
Coordinates(0, 0, 0),
func_in->target(),
true);
}
// Construct sub_graph
auto g = sg->construct(ctx, std::move(in), std::move(out));
// Register graph to function
func->register_graph(std::move(g), std::move(func_in));
}
func->configure();
return std::move(func);
}
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