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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 "loco/IR/Nodes.h"
#include "loco/IR/Graph.h"
#include <cassert>
#include <limits>
// This file validates "Nodes.h". Please DO NOT remove this file.
namespace
{
/**
* @note This function is currently only used in assert. Compiler will
* warn/error this function as unused in Release build.
* Making inline will make compiler happy.
*/
// Is it possible to update lhs as rhs?
inline bool dtype_assignable(loco::DataType lhs, loco::DataType rhs)
{
if (lhs == loco::DataType::Unknown)
{
return true;
}
// lhs is already known, and thus rhs should be matched
return lhs == rhs;
}
} // namespace
/**
* Push
*/
namespace loco
{
void Push::index(const GraphOutputIndex &index)
{
// Push internally stores "GraphOutputIndex" as int64_t
_index = static_cast<int64_t>(index);
}
GraphOutputIndex Push::index(void) const
{
assert(_index >= std::numeric_limits<GraphOutputIndex>::min());
assert(_index <= std::numeric_limits<GraphOutputIndex>::max());
return static_cast<GraphOutputIndex>(_index);
}
void link(GraphOutput *output, Push *push) { push->index(output->index()); }
Push *push_node(Graph *g, const GraphOutputIndex &index)
{
for (uint32_t n = 0; n < g->nodes()->size(); ++n)
{
if (auto push = dynamic_cast<Push *>(g->nodes()->at(n)))
{
if (push->indexed() && push->index() == index)
{
return push;
}
}
}
return nullptr;
}
} // namespace loco
/**
* Pull
*/
namespace loco
{
void Pull::index(const GraphInputIndex &index)
{
// ASSUMPTION
//
// It is possible to update index multiple times, but only with the same value!
assert(!indexed() or _index == index);
if (indexed())
{
assert(_index == index);
return;
}
// Push internally stores "GraphInputIndex" as int64_t
_index = static_cast<int64_t>(index);
// ASSUMPTION: The return value of graph() never changes!
if (graph() != nullptr && _dtype != loco::DataType::Unknown)
{
// Update Graph-level input only if it is not yet specified
if (graph()->inputs()->at(_index)->dtype() == DataType::Unknown)
{
graph()->inputs()->at(_index)->dtype(_dtype);
}
assert(graph()->inputs()->at(_index)->dtype() == _dtype);
graph()->inputs()->at(_index)->dtype(_dtype);
// Reset the locally cached data
_dtype = DataType::Unknown;
}
}
GraphInputIndex Pull::index(void) const
{
assert(_index >= std::numeric_limits<GraphInputIndex>::min());
assert(_index <= std::numeric_limits<GraphInputIndex>::max());
return static_cast<GraphInputIndex>(_index);
}
void Pull::dtype(const DataType &dt)
{
// ASSUMPTION: "dtype" is never invalidated!
assert(dt != loco::DataType::Unknown);
// ASSUMPTION
//
// It is possible to update index multiple times, but only with the same value!
if (indexed())
{
assert(dtype_assignable(graph()->inputs()->at(_index)->dtype(), dt));
graph()->inputs()->at(_index)->dtype(dt);
return;
}
// Use local cache
_dtype = dt;
}
DataType Pull::dtype(void) const
{
if (graph() != nullptr and _index >= 0)
{
assert(_dtype == DataType::Unknown);
return graph()->inputs()->at(_index)->dtype();
}
else
{
return _dtype;
}
}
void link(GraphInput *input, Pull *pull) { pull->index(input->index()); }
Pull *pull_node(Graph *g, const GraphInputIndex &index)
{
for (uint32_t n = 0; n < g->nodes()->size(); ++n)
{
if (auto pull = dynamic_cast<Pull *>(g->nodes()->at(n)))
{
if (pull->indexed() && pull->index() == index)
{
return pull;
}
}
}
return nullptr;
}
} // namespace loco
/**
* ConstGen
*/
namespace loco
{
template <DataType DT> uint32_t ConstGen::size(void) const
{
assert(dtype() == DT);
assert(_data.size() % sizeof(typename DataTypeImpl<DT>::Type) == 0);
return _data.size() / sizeof(typename DataTypeImpl<DT>::Type);
}
template <DataType DT> void ConstGen::size(uint32_t l)
{
assert(dtype() == DT);
_data.resize(l * sizeof(typename DataTypeImpl<DT>::Type));
}
template <DataType DT> const typename DataTypeImpl<DT>::Type &ConstGen::at(uint32_t n) const
{
assert(dtype() == DT);
assert(n < size<DT>());
return *(reinterpret_cast<const typename DataTypeImpl<DT>::Type *>(_data.data()) + n);
}
template <DataType DT> typename DataTypeImpl<DT>::Type &ConstGen::at(uint32_t n)
{
assert(dtype() == DT);
assert(n < size<DT>());
return *(reinterpret_cast<typename DataTypeImpl<DT>::Type *>(_data.data()) + n);
}
#define INSTANTIATE(DT) \
template uint32_t ConstGen::size<DT>(void) const; \
template void ConstGen::size<DT>(uint32_t); \
template const typename DataTypeImpl<DT>::Type &ConstGen::at<DT>(uint32_t) const; \
template typename DataTypeImpl<DT>::Type &ConstGen::at<DT>(uint32_t);
INSTANTIATE(DataType::S32);
INSTANTIATE(DataType::FLOAT32);
#undef INSTANTIATE
} // namespace loco
/**
* TensorBroadcast
*/
namespace loco
{
bool TensorBroadcast::Mapping::defined(const TensorAxis &axis) const
{
return _content.find(axis) != _content.end();
}
const Dimension &TensorBroadcast::Mapping::dim(const TensorAxis &axis) const
{
return _content.at(axis);
}
Dimension &TensorBroadcast::Mapping::dim(const TensorAxis &axis) { return _content[axis]; }
} // namespace loco
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