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/*
* Copyright (c) 2019 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 "NodeExecution.h"
#include "NodeDataImpl.h"
#include "NodeDomain.h"
#include <nncc/core/ADT/tensor/Shape.h>
#include <nncc/core/ADT/tensor/Buffer.h>
#include <nncc/core/ADT/tensor/IndexEnumerator.h>
#include <nncc/core/ADT/tensor/LexicalLayout.h>
#include <stdexcept>
#include <cassert>
using nncc::core::ADT::tensor::Index;
using nncc::core::ADT::tensor::IndexEnumerator;
using nncc::core::ADT::tensor::Shape;
using nncc::core::ADT::tensor::LexicalLayout;
using nncc::core::ADT::tensor::make_buffer;
namespace
{
/**
* @brief Get offset based on given shape and index. Assume lexical layout.
*
* examples)
* For shape = {3, 4} and index = {1, 2},
* offset would be 6 ( = 1 * (4) + 2 )
* For shape = {2, 3, 4} and index = {1, 0, 2},
* offset would be 14 ( = 1 * (3*4) + 0 *(4) + 2 )
*/
inline uint32_t offset_by_index(const Shape &shape, const Index &index)
{
static const nncc::core::ADT::tensor::LexicalLayout l;
return l.offset(shape, index);
}
} // namespace
namespace locomotiv
{
void NodeExecution::execute(loco::ConstGen *constgen)
{
uint32_t volume = 1;
Shape shape;
shape.resize(constgen->rank());
for (uint32_t i = 0; i < shape.rank(); ++i)
{
shape.dim(i) = constgen->dim(i).value();
volume *= shape.dim(i);
}
std::unique_ptr<NodeData> data = nullptr;
switch (constgen->dtype())
{
case loco::DataType::S32:
{
assert(volume == constgen->size<loco::DataType::S32>());
auto buf = make_buffer<int32_t, LexicalLayout>(shape);
for (IndexEnumerator e{shape}; e.valid(); e.advance())
{
const auto &index = e.current();
uint32_t offset = ::offset_by_index(shape, index);
buf.at(index) = constgen->at<loco::DataType::S32>(offset);
}
data = locomotiv::make_data(buf);
break;
}
case loco::DataType::FLOAT32:
{
assert(volume == constgen->size<loco::DataType::FLOAT32>());
auto buf = make_buffer<float, LexicalLayout>(shape);
for (IndexEnumerator e{shape}; e.valid(); e.advance())
{
const auto &index = e.current();
uint32_t offset = ::offset_by_index(shape, index);
buf.at(index) = constgen->at<loco::DataType::FLOAT32>(offset);
}
data = locomotiv::make_data(buf);
break;
}
default:
throw std::runtime_error("NYI for this DataType");
}
assert(data != nullptr);
annot_data(constgen, std::move(data));
annot_domain(constgen, loco::Domain::Tensor);
}
} // namespace locomotiv
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