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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_OPS_FULLY_CONNECTED_OP_H_
#define _MIR_OPS_FULLY_CONNECTED_OP_H_
#include "mir/Operation.h"
#include "mir/TensorVariant.h"
namespace mir
{
namespace ops
{
class FullyConnectedOp : public Operation
{
public:
FullyConnectedOp(Output *input, Output *weights)
: Operation(Type::fullyConnected, {input, weights})
{
inferOutputTypes();
}
FullyConnectedOp(Output *input, Output *weights, Output *bias)
: Operation(Type::fullyConnected, {input, weights, bias})
{
inferOutputTypes();
}
Operation *copyWithInputs(const std::vector<Output *> &inputs) override
{
if (inputs.size() == 2)
return new FullyConnectedOp(inputs[0], inputs[1]);
else
return new FullyConnectedOp(inputs[0], inputs[1], inputs[2]);
}
private:
void inferOutputTypes();
};
} // namespace ops
} // namespace mir
#endif //_MIR_OPS_FULLY_CONNECTED_OP_H_
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