<gh_stars>0
//*****************************************************************************
// Copyright 2017-2018 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.
//*****************************************************************************

#include <numeric>
#include <vector>

#include "broadcasting.hpp"

namespace ngraph
{
    namespace onnx_import
    {
        AxisSet calculate_broadcast_axes(const Shape& output_shape,
                                         const Shape& input_shape,
                                         std::size_t start_match_axis)
        {
            std::vector<size_t> result(output_shape.size() - input_shape.size());
            // Populate the result vector with monotonic increasing series from 0 until
            // output_shape_size, excluding values in range [start_match_axis, start_match_axis + input_shape.size()
            std::iota(std::begin(result), std::begin(result) + start_match_axis, 0);
            std::iota(std::begin(result) + start_match_axis,
                      std::end(result),
                      start_match_axis + input_shape.size());
            return result;
        }

    } // namespace  onnx_import

} // namespace  ngraph
