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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.
*/
#ifndef MIR_CAFFE_OP_CREATOR_H
#define MIR_CAFFE_OP_CREATOR_H
#include <set>
#include <map>
#include <vector>
#include <memory>
#include "mir/Graph.h"
#include "mir/TensorVariant.h"
#include "mir/Shape.h"
#include "caffe/proto/caffe.pb.h"
namespace mir_caffe
{
class CaffeOpCreator
{
public:
explicit CaffeOpCreator(mir::Graph *g) : _graph(g){};
std::vector<mir::Operation::Output *> convertInput(const caffe::LayerParameter &layer);
std::vector<mir::Operation::Output *>
convertConvolution(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertInnerProduct(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertConcat(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertPooling(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertSoftmax(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertReshape(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertReLU(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertScale(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertBatchNorm(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertDropout(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertDeconvolution(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertELU(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertEmbed(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertSigmoid(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertTanH(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertEltwise(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertSplit(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
std::vector<mir::Operation::Output *>
convertLSTM(const caffe::LayerParameter &layer,
const std::vector<mir::Operation::Output *> &inputs);
void checkConvolution(const caffe::LayerParameter &layer,
std::set<std::string> &problems_ops_set);
void checkPooling(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
void checkReshape(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
void checkBatchNorm(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
void checkLSTM(const caffe::LayerParameter &layer, std::set<std::string> &problems_ops_set);
private:
mir::Graph *_graph = nullptr;
std::vector<mir::Operation::Output *> createSplit(mir::Operation::Output *arg, int32_t num_parts,
int32_t axis);
mir::Operation::Output *createFullyConnected(mir::Operation::Output *input,
mir::Operation::Output *weights, int32_t axis);
mir::TensorVariant convertBlob(const caffe::BlobProto &blob);
template <typename OpType, typename... Types> mir::Operation *createOp(Types &&... args);
};
template <typename OpType, typename... Types>
mir::Operation *CaffeOpCreator::createOp(Types &&... args)
{
return _graph->create<OpType>(std::forward<Types>(args)...);
}
} // namespace mir_caffe
#endif // MIR_CAFFE_OP_CREATOR_H
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