// Copyright (c) ONNX Project Contributors
//
// SPDX-License-Identifier: Apache-2.0

// Adapter for all ops that remove consumed_inputs

#pragma once

#include <memory>
#include <vector>

#include "onnx_lib/version_converter/adapters/adapter.h"

namespace ONNX_LIGHT_NAMESPACE::version_conversion {

class Split_12_13 : public Adapter {
public:
  explicit Split_12_13() : Adapter("Split", OpSetID(12), OpSetID(13)) {}

  void attrToInput(const std::shared_ptr<Graph> &graph, Node *node,
                   const std::vector<int64_t> &axes) const {
    Tensor t;
    t.elem_type() = TensorProto_DataType_INT64;
    t.sizes() = std::vector<int64_t>{static_cast<int64_t>(axes.size())};
    auto &data = t.int64s();
    for (auto a : axes) {
      data.emplace_back(a);
    }
    Node *constant = graph->create(kConstant);
    constant->insertBefore(node);
    constant->t_(kvalue, t);
    node->addInput(constant->output());
  }

  Node *adapt(std::shared_ptr<Graph> graph, Node *node) const override {
    if (node->hasAttribute(ksplit)) {
      attrToInput(graph, node, node->is(ksplit));
      node->removeAttribute(ksplit);
    }
    return node;
  }
};

} // namespace ONNX_LIGHT_NAMESPACE::version_conversion
