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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/Object.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::operand::Index &index,
model::operand::Object &object)
{
auto &&operand_li = _graph.getLowerInfo(index);
assert(operand_li);
// NOTE Later, constants also will have Def
// Ignore constants
if (operand_li->def_backends().size() == 0)
{
return;
}
std::list<model::OperationIndex> permute_indexes;
// Build a map for all necessary type of operands
std::unordered_map<const backend::Backend *, model::operand::Index> backend_to_index;
{
assert(operand_li->def_backends().size() == 1);
for (auto backend : operand_li->def_backends())
{
backend_to_index.insert({backend, index});
}
auto insert_set = operand_li->use_backends() - operand_li->def_backends();
for (auto backend : insert_set)
{
const auto permute_operation_index = insertPermute(index, backend);
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);
backend_to_index.insert({backend, 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.subg_ctx().hasNode(use));
auto subg_index = _graph.subg_ctx().findNode(use);
auto subg_li = _graph.getLowerInfo(subg_index);
assert(subg_li);
const backend::Backend *backend = subg_li->backend();
assert(backend);
auto use_node_inputs = operation.getInputs();
assert(use_node_inputs.contains(index));
auto new_index = backend_to_index.at(backend);
if (index != new_index)
{
// Update from subgraph
_graph.subg_ctx().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::operand::Index &operand_index,
const backend::Backend *backend)
{
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());
auto &out_operand = _graph.operands().at(out_operand_index);
out_operand.usage(model::operand::Usage::OPERATION_OUTPUT);
// 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);
}
out_operand.usage(model::operand::Usage::OPERATION_OUTPUT);
auto out_operand_li =
nnfw::cpp14::make_unique<operand::LowerInfo>(operand::asShape4D(operand.shape()));
out_operand_li->addDefBackend(backend);
out_operand_li->addUseBackend(backend);
_graph.setLowerInfo(out_operand_index, std::move(out_operand_li));
// Update LowerInfo of input operand
auto operand_lower_info = _graph.getLowerInfo(operand_index);
operand_lower_info->removeUseBackend(backend);
operand_lower_info->addUseBackend(operand_lower_info->def_backends().getOnlyElement());
using PermuteNode = model::operation::PermuteNode;
auto input_backend = _graph.getLowerInfo(operand_index)->def_backends().getOnlyElement();
auto output_backend = _graph.getLowerInfo(out_operand_index)->def_backends().getOnlyElement();
// Find Permutation Type
auto type = [&]() {
auto input_layout = input_backend->config()->getOperandLayout();
auto output_layout = output_backend->config()->getOperandLayout();
if (input_layout == graph::operand::Layout::NHWC &&
output_layout == graph::operand::Layout::NCHW)
{
return PermuteNode::Type::NHWC_TO_NCHW;
}
else if (input_layout == graph::operand::Layout::NCHW &&
output_layout == graph::operand::Layout::NHWC)
{
return PermuteNode::Type::NCHW_TO_NHWC;
}
else
{
return PermuteNode::Type::COPY;
}
}();
// Insert permute operation to the graph
auto insert_node = nnfw::cpp14::make_unique<PermuteNode>(operand_index, out_operand_index, type,
input_backend, output_backend);
auto node_index = _graph.operations().append(std::move(insert_node));
const auto &node = _graph.operations().at(node_index);
// Subgraph
{
auto subg_index = _graph.subg_ctx().append(node_index, node);
auto &subg = _graph.subg_ctx().at(subg_index);
subg.setInputs(node.getInputs());
subg.setOutputs(node.getOutputs());
_graph.setLowerInfo(subg_index, nnfw::cpp14::make_unique<graph::operation::LowerInfo>(
_graph.backend_resolver()->getDefaultBackend()));
}
// Update Use/Def info
{
_graph.operands().at(operand_index).appendUse(node_index);
auto node_out_indexes = node.getOutputs();
auto node_out_index = node_out_indexes.at(model::operand::IO::Index{0});
_graph.operands().at(node_out_index).appendDef(node_index);
}
return node_index;
}
} // namespace pass
} // namespace graph
} // namespace neurun
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