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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_CONCAT_OP_H_
#define _MIR_OPS_CONCAT_OP_H_
#include "mir/Operation.h"
namespace mir
{
namespace ops
{
/**
* @brief Description of tensor concatenation operation.
*/
class ConcatOp : public Operation
{
public:
ConcatOp(const std::vector<Output *> &args, int32_t axis)
: Operation(Type::concat, args), _axis(axis)
{
inferOutputTypes();
}
Operation *copyWithInputs(const std::vector<Output *> &inputs) override
{
return new ConcatOp(inputs, _axis);
};
int32_t getAxis() const
{
if (_axis < 0)
{
// Negative axis is used to index starting from the last element of the shape
// -1 means last element, -2 means second from end, like in python
int32_t res = _axis + getInputShape(0).rank();
assert(res >= 0);
return res;
}
return _axis;
}
private:
void inferOutputTypes();
/// @brief The axis along which to concatenate, may be negative to index from the end
int32_t _axis;
};
} // namespace ops
} // namespace mir
#endif //_MIR_OPS_CONCAT_OP_H_
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