split.hpp

//*****************************************************************************
// Copyright 2017-2021 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 <memory>
#include <vector>
 
#include "ngraph/node.hpp"
#include "ngraph/op/util/fused_op.hpp"
 
namespace ngraph
{
    namespace op
    {
        namespace v1
        {
            /// \brief Splits the input tensor into a list of equal sized tensors
            class NGRAPH_API Split : public ngraph::op::Op
            {
            public:
                NGRAPH_RTTI_DECLARATION;
 
                /// \brief Constructs a split operation.
                Split() = default;
                /// \brief Constructs a split operation.
                /// \param data        The tensor to be split.
                /// \param axis        The index of an axis in "data" along which to perform
                ///                    the split.
                /// \param num_splits  The number of pieces that the data tensor should be
                ///                    split into.
                Split(const Output<Node>& data, const Output<Node>& axis, const size_t num_splits);
 
                bool visit_attributes(AttributeVisitor& visitor) override;
                void validate_and_infer_types() override;
                virtual std::shared_ptr<Node>
                    clone_with_new_inputs(const OutputVector& new_args) const override;
 
                size_t get_num_splits() const { return m_num_splits; }
                void set_num_splits(const size_t num_splits) { m_num_splits = num_splits; }
                bool evaluate(const HostTensorVector& outputs,
                              const HostTensorVector& inputs) const override;
 
            protected:
                size_t m_num_splits;
            };
        }
    }
}