scatter_update.hpp

//*****************************************************************************
// Copyright 2017-2020 Intel Corporation
//
// 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.
//*****************************************************************************
 
#pragma once
 
#include "ngraph/op/op.hpp"
#include "ngraph/op/util/scatter_base.hpp"
#include "ngraph/runtime/host_tensor.hpp"
 
namespace ngraph
{
    namespace op
    {
        namespace v3
        {
            ///
            /// \brief      Set new values to slices from data addressed by indices
            ///
            class NGRAPH_API ScatterUpdate : public util::ScatterBase
            {
            public:
                static constexpr NodeTypeInfo type_info{"ScatterUpdate", 3};
                const NodeTypeInfo& get_type_info() const override { return type_info; }
                ScatterUpdate() = default;
                ///
                /// \brief      Constructs ScatterUpdate operator object.
                ///
                /// \param      data     The input tensor to be updated.
                /// \param      indices  The tensor with indexes which will be updated.
                /// \param      updates  The tensor with update values.
                /// \param[in]  axis     The axis at which elements will be updated.
                ///
                ScatterUpdate(const Output<Node>& data,
                              const Output<Node>& indices,
                              const Output<Node>& updates,
                              const Output<Node>& axis);
 
                virtual std::shared_ptr<Node>
                    clone_with_new_inputs(const OutputVector& inputs) const override;
 
                bool evaluate(const HostTensorVector& outputs,
                              const HostTensorVector& inputs) const override;
            };
        }
    }
}