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/*
* Copyright (c) 2018 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 "PermutationInsertionPass.h"
#include <cassert>
#include <utility>
#include <unordered_map>
#include "model/Operand.h"
#include "graph/operation/LowerInfo.h"
#include "graph/Graph.h"
#include "backend/IConfig.h"
#include "util/logging.h"
#include "cpp14/memory.h"
#include "model/operation/PermuteNode.h"
#include "graph/operand/Shape4DConvert.h"
#include "compiler/BackendResolver.h"
namespace neurun
{
namespace graph
{
namespace pass
{
void PermutationInsertionPass::callback(const model::OperandIndex &index, model::Operand &object)
{
auto &&operand_li = _graph.getLowerInfo(index);
assert(operand_li);
// NOTE Later, constants also will have Def
// Ignore constants
if (operand_li->def_factors().size() == 0)
{
return;
}
std::list<model::OperationIndex> permute_indexes;
// Build a map for all necessary type of operands
std::unordered_map<operand::PermuteFactor, model::OperandIndex> factor_to_index;
{
assert(operand_li->def_factors().size() == 1);
for (auto factor : operand_li->def_factors())
{
factor_to_index.emplace(factor, index);
}
auto insert_set = operand_li->use_factors() - operand_li->def_factors();
for (auto factor : insert_set)
{
const auto permute_operation_index = insertPermute(index, factor);
permute_indexes.push_back(permute_operation_index);
VERBOSE(PermutationInsertionPass) << "Insert 'Permute' operation for operand "
<< index.value() << std::endl;
const auto &permute_operation = _graph.operations().at(permute_operation_index);
const auto permuted_operand_index = permute_operation.getOutputs().at(0);
factor_to_index.emplace(factor, permuted_operand_index);
}
}
// Update operations' input that uses this operand
{
std::list<model::OperationIndex> remove_list;
auto uses = object.getUses();
for (auto use : uses.list())
{
// If permute operation, ignore it
if (std::find(permute_indexes.begin(), permute_indexes.end(), use) != permute_indexes.end())
continue;
auto &operation = _graph.operations().at(use);
assert(_graph.subgraphs().containsOperation(use));
auto subg_index = _graph.subgraphs().getOperation(use);
auto subg_li = _graph.getLowerInfo(subg_index);
assert(subg_li);
const auto subg_layout = subg_li->layout();
const backend::Backend *backend = subg_li->backend();
assert(backend);
auto use_node_inputs = operation.getInputs();
assert(use_node_inputs.contains(index));
auto new_index = factor_to_index.at({backend, subg_layout});
if (index != new_index)
{
// Update from subgraph
_graph.subgraphs().at(subg_index).replaceInput(index, new_index);
// Update from operation
operation.replaceInput(index, new_index);
// Update from operand
remove_list.push_back(
use); // Removal should be done in another loop since we are in the loop
_graph.operands().at(new_index).appendUse(use);
}
}
for (auto &operation : remove_list)
{
object.removeUse(operation);
}
}
}
model::OperationIndex
PermutationInsertionPass::insertPermute(const model::OperandIndex &operand_index,
const operand::PermuteFactor &factor)
{
assert(!_graph.isBuildingPhase());
auto &operand = _graph.operands().at(operand_index);
// Generate output operand and permute operation
auto out_operand_index = _graph.addOperand(operand.shape(), operand.typeInfo());
// change model output if operand_index is model output index
auto &model_outputs = _graph.getOutputs();
if (model_outputs.contains(operand_index))
{
model_outputs.replace(operand_index, out_operand_index);
}
// Find PermuteNode information
auto input_backend = _graph.getLowerInfo(operand_index)->def_factors().getOnlyElement().backend();
auto output_backend = factor.backend();
// NOTE PermuteNode may not have specific layout because the layout of input and output may be
// different.
const auto permute_node_layout = model::Layout::UNKNOWN;
const auto permute_node_backend = backend::BackendManager::instance().getDefault();
const operand::PermuteFactor permute_node_factor{permute_node_backend, permute_node_layout};
// Update LowerInfo of input operand
auto operand_lower_info = _graph.getLowerInfo(operand_index);
operand_lower_info->removeUsePermuteFactor(factor);
operand_lower_info->addUsePermuteFactor(permute_node_factor);
// Update LowerInfo of output operand
auto out_operand_li =
nnfw::cpp14::make_unique<operand::LowerInfo>(operand::asShape4D(operand.shape()));
// The input and output factors of all nodes will be the same except PermuteNode. So Tensor's
// allocators allocates memory using only the information of def permutation factor now.
// TODO Change param to permute_node_factor
out_operand_li->addDefPermuteFactor(factor);
out_operand_li->addUsePermuteFactor(factor);
_graph.setLowerInfo(out_operand_index, std::move(out_operand_li));
auto input_backend_ctx = _graph.backend_resolver()->getBackendContext(input_backend);
auto output_backend_ctx = _graph.backend_resolver()->getBackendContext(output_backend);
// Insert permute operation to the graph
const auto input_layout =
_graph.getLowerInfo(operand_index)->def_factors().getOnlyElement().layout();
const auto output_layout = factor.layout();
using PermuteNode = model::operation::PermuteNode;
const auto permute_type = [&]() {
if (input_layout == model::Layout::NHWC && output_layout == model::Layout::NCHW)
{
return PermuteNode::Type::NHWC_TO_NCHW;
}
else if (input_layout == model::Layout::NCHW && output_layout == model::Layout::NHWC)
{
return PermuteNode::Type::NCHW_TO_NHWC;
}
else
{
return PermuteNode::Type::COPY;
}
}();
auto insert_node = nnfw::cpp14::make_unique<PermuteNode>(
operand_index, out_operand_index, input_backend_ctx, output_backend_ctx, permute_type);
auto node_index = _graph.operations().push(std::move(insert_node));
const auto &node = _graph.operations().at(node_index);
// Subgraph
{
auto subg_index = _graph.subgraphs().emplace(node_index, node, permute_node_layout);
auto &subg = _graph.subgraphs().at(subg_index);
subg.setInputs(node.getInputs());
subg.setOutputs(node.getOutputs());
_graph.setLowerInfo(subg_index, nnfw::cpp14::make_unique<graph::operation::LowerInfo>(
permute_node_backend, permute_node_layout));
}
// Update Use/Def info
{
_graph.operands().at(operand_index).appendUse(node_index);
_graph.operands().at(out_operand_index).appendDef(node_index);
}
return node_index;
}
} // namespace pass
} // namespace graph
} // namespace neurun
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