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// Copyright (c) 2020, ARM Limited.
//
// 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 OPS_SCATTER_GATHER_H
#define OPS_SCATTER_GATHER_H
#include "graph_node.h"
using namespace tosa;
namespace TosaReference
{
// input and index can have different rank
// and infer OutRank statically
template <int InRank, int IndexRank, DType Dtype>
class OpGather : public GraphNode
{
public:
OpGather(TosaAttributeBase* attribute_, TosaQuantInfoBase* qinfo_, uint64_t id_);
virtual ~OpGather();
virtual int checkTensorAttributes();
virtual int eval();
static constexpr int OutRank = InRank - 1 + IndexRank;
using InEigenType = typename GetEigenType<Dtype>::type;
using OutEigenType = typename GetEigenType<Dtype>::type;
using TIn = Eigen::Tensor<InEigenType, InRank>;
using TIndex = Eigen::Tensor<int32_t, IndexRank>;
using TOut = Eigen::Tensor<OutEigenType, OutRank>;
protected:
TosaAxisAttribute* attribute;
TosaReference::TensorTemplate<TIn>* in;
TosaReference::TensorTemplate<TIndex>* index;
TosaReference::TensorTemplate<TOut>* out;
};
}; // namespace TosaReference
#endif
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