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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "kernels/If.h"
#include "kernels/Utils.h"
#include <cstring>
namespace luci_interpreter
{
namespace kernels
{
static std::vector<const Tensor *> joinInputs(const Tensor *cond,
const std::vector<const Tensor *> &inputs)
{
std::vector<const Tensor *> result{cond};
result.insert(result.cend(), inputs.cbegin(), inputs.cend());
return result;
}
If::If(const Tensor *cond, const std::vector<const Tensor *> &inputs, std::vector<Tensor *> outputs,
RuntimeGraph *then_graph, RuntimeGraph *else_graph)
: Kernel(joinInputs(cond, inputs), std::move(outputs)), _then_graph(then_graph),
_else_graph(else_graph)
{
}
void If::configure()
{
LUCI_INTERPRETER_CHECK(cond()->element_type() == DataType::BOOL);
LUCI_INTERPRETER_CHECK(cond()->shape().num_elements() == 1);
for (RuntimeGraph *graph : {_then_graph, _else_graph})
{
(void)graph;
LUCI_INTERPRETER_CHECK(graph->getInputTensors().size() == getInputTensors().size() - 1);
LUCI_INTERPRETER_CHECK(graph->getOutputTensors().size() == getOutputTensors().size());
}
}
void If::execute() const
{
const bool cond_value = cond()->data<bool>()[0];
RuntimeGraph *active_graph = cond_value ? _then_graph : _else_graph;
const auto &graph_inputs = active_graph->getInputTensors();
const auto &graph_outputs = active_graph->getOutputTensors();
// Copy kernel inputs to active graph inputs.
for (size_t i = 0; i < getInputTensors().size() - 1; ++i)
{
LUCI_INTERPRETER_CHECK(graph_inputs[i]->element_type() == input(i)->element_type());
graph_inputs[i]->resize(input(i)->shape());
const int32_t num_elements = input(i)->shape().num_elements();
const std::size_t element_size = getDataTypeSize(input(i)->element_type());
// TODO: Think about how allocate memory for output in main graph
active_graph->configureAllocations(graph_inputs[i]);
std::memcpy(graph_inputs[i]->data<void>(), input(i)->data<void>(), num_elements * element_size);
}
active_graph->execute();
// Copy graph outputs to kernel outputs.
for (size_t i = 0; i < getOutputTensors().size(); ++i)
{
LUCI_INTERPRETER_CHECK(graph_outputs[i]->element_type() == output(i)->element_type());
output(i)->resize(graph_outputs[i]->shape());
// TODO: Think about how allocate memory for output in main graph
active_graph->configureAllocations(output(i));
const int32_t num_elements = output(i)->shape().num_elements();
const std::size_t element_size = getDataTypeSize(output(i)->element_type());
std::memcpy(output(i)->data<void>(), graph_outputs[i]->data<void>(),
num_elements * element_size);
}
}
} // namespace kernels
} // namespace luci_interpreter
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