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Diffstat (limited to 'runtime/neurun/core/src/ir/pass/PermutationEliminationPass.cc')
| -rw-r--r-- | runtime/neurun/core/src/ir/pass/PermutationEliminationPass.cc | 195 |
1 files changed, 0 insertions, 195 deletions
diff --git a/runtime/neurun/core/src/ir/pass/PermutationEliminationPass.cc b/runtime/neurun/core/src/ir/pass/PermutationEliminationPass.cc deleted file mode 100644 index 71f3d7e82..000000000 --- a/runtime/neurun/core/src/ir/pass/PermutationEliminationPass.cc +++ /dev/null @@ -1,195 +0,0 @@ -/* - * 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 "PermutationEliminationPass.h" - -#include "ir/Operand.h" -#include "ir/operand/LowerInfo.h" -#include "ir/Graph.h" -#include "backend/IConfig.h" -#include "util/logging.h" -#include "compiler/BackendResolver.h" - -namespace neurun -{ -namespace ir -{ -namespace pass -{ -void PermutationEliminationPass::callback(const OperandIndex &inp_index, Operand &object) -{ - if (_graph.getInputs().contains(inp_index)) - { - eliminateInput(inp_index, object); - } - else if (_graph.getOutputs().contains(inp_index)) - { - eliminateOutput(inp_index, object); - } -} - -void PermutationEliminationPass::eliminateInput(const OperandIndex &inp_index, Operand &object) -{ - auto &model_inputs = _graph.getInputs(); - - // get uses of the model's given input - auto uses = object.getUses(); - - // input must be used just by permutation - if (uses.size() != 1) - { - return; - } - - for (auto input_use : uses.list()) - { - auto &perm_operation = _graph.operations().at(input_use); - auto perm_inputs = perm_operation.getInputs(); - - auto perm_outputs = perm_operation.getOutputs(); - - if (!isPermuteLayerToEliminate(perm_inputs, perm_outputs, true)) - { - return; - } - - assert(perm_inputs.at(0) == inp_index); - - VERBOSE(PermutationEliminationPass::EliminateInput) << "remove NHWC_TO_NCHW permutation\n"; - - // set model's new input, which was output of permutation - model_inputs.replace(inp_index, perm_outputs.at(0)); - - // remove model's input, which is also input of permutation - _graph.removeOperand(inp_index); - - // remove permutation operation - assert(_graph.subgraphs().containsOperation(input_use)); - auto subg_idx = _graph.subgraphs().getOperation(input_use); - _graph.subgraphs().remove(subg_idx); - _graph.operations().remove(input_use); - - VERBOSE(PermutationEliminationPass::EliminateInput) - << inp_index.value() << " is model's input and is removed. New input is " - << perm_outputs.at(0).value() << "\n" - << input_use.value() << " is removed permutation operation\n"; - } -} - -void PermutationEliminationPass::eliminateOutput(const OperandIndex &out_index, Operand &object) -{ - auto &model_outputs = _graph.getOutputs(); - - // get defs of the model's given output - auto defs = object.getDef(); - - // output must use just permutation - if (defs.size() != 1) - { - return; - } - - for (auto output_def : defs.list()) - { - auto &perm_operation = _graph.operations().at(output_def); - auto perm_outputs = perm_operation.getOutputs(); - - auto perm_inputs = perm_operation.getInputs(); - if (!isPermuteLayerToEliminate(perm_inputs, perm_outputs, false)) - { - return; - } - - assert(perm_outputs.at(0) == out_index); - - VERBOSE(PermutationEliminationPass::EliminateOutput) << "remove NCHW_TO_NHWC permutation\n"; - - // Update operations' output that is used by permute operand - for (auto perm_input_index : perm_inputs) - { - auto &perm_input_operand = _graph.operands().at(perm_input_index); - perm_input_operand.removeUse(output_def); - } - - // set model's new output, which was input of permutation - model_outputs.replace(out_index, perm_inputs.at(0)); - - // remove model's output, which is also output of permutation - _graph.removeOperand(out_index); - - // remove permutation operation - assert(_graph.subgraphs().containsOperation(output_def)); - auto subg_idx = _graph.subgraphs().getOperation(output_def); - _graph.subgraphs().remove(subg_idx); - _graph.operations().remove(output_def); - - VERBOSE(PermutationEliminationPass::EliminateOutput) - << out_index.value() << " is model's output and is removed. New output is " - << perm_inputs.at(0).value() << "\n" - << output_def.value() << " is removed permutation operation\n"; - } -} - -bool PermutationEliminationPass::isPermuteLayerToEliminate(const OperandIndexSequence &inp_indexes, - const OperandIndexSequence &out_indexes, - bool is_for_model_input) -{ - auto input_def_factors = _graph.getLowerInfo(inp_indexes.at(0))->def_factors(); - auto output_def_factors = _graph.getLowerInfo(out_indexes.at(0))->def_factors(); - - auto input_layout = input_def_factors.getOnlyElement().layout(); - auto output_layout = output_def_factors.getOnlyElement().layout(); - - if (input_def_factors.size() != 1 || output_def_factors.size() != 1) - { - return false; - } - - // all operands' factor must be the same - for (auto index : inp_indexes) - { - auto op_factor_set = _graph.getLowerInfo(index)->def_factors(); - if (op_factor_set.size() != 1 || - input_layout != _graph.getLowerInfo(index)->def_factors().getOnlyElement().layout()) - { - return false; - } - } - // all operands' factor must be the same - for (auto index : out_indexes) - { - auto op_factor_set = _graph.getLowerInfo(index)->def_factors(); - if (op_factor_set.size() != 1 || - output_layout != _graph.getLowerInfo(index)->def_factors().getOnlyElement().layout()) - { - return false; - } - } - - if (is_for_model_input) - { - // check if this is NHWC_TO_NCHW permutation: must have single input, which is model's input - return (inp_indexes.size() == 1 && input_layout == Layout::NHWC && - output_layout == Layout::NCHW); - } - - // check if this is NCHW_TO_NHWC permutation: must have single output, which is model's output - return (out_indexes.size() == 1 && input_layout == Layout::NCHW && output_layout == Layout::NHWC); -} - -} // namespace pass -} // namespace ir -} // namespace neurun |