* Copyright (c) 2026 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#include <iostream>
#include <map>
#include <memory>
#include <vector>
#include "ge/ge_api.h"
#include "graph.h"
#include "ops_proto_legacy.h"
#include "tensor.h"
#include "types.h"
#include "where_like_custom.h"
using ge::Operator;
namespace {
constexpr uint32_t kGraphId = 0U;
std::unique_ptr<ge::Graph> BuildGraph() {
ge::TensorDesc input_desc(ge::Shape({8}), ge::FORMAT_ND, ge::DT_BOOL);
auto data = ge::op::Data("data");
data.update_input_desc_x(input_desc);
data.update_output_desc_y(input_desc);
auto where = ge::op::WhereLikeCustom("where_like").set_input_x(data);
std::vector<Operator> inputs;
inputs.emplace_back(data);
std::vector<Operator> outputs;
outputs.emplace_back(where);
auto graph = std::make_unique<ge::Graph>("ThirdClassWhereGraph");
graph->SetInputs(inputs).SetOutputs(outputs);
return graph;
}
ge::Tensor BuildInputTensor() {
ge::TensorDesc input_desc(ge::Shape({8}), ge::FORMAT_ND, ge::DT_BOOL);
ge::Tensor input_tensor(input_desc);
const std::vector<uint8_t> input_data = {1U, 0U, 1U, 0U, 1U, 0U, 0U, 1U};
if (input_tensor.SetData(input_data.data(), input_data.size()) != ge::GRAPH_SUCCESS) {
std::cerr << "SetData failed" << std::endl;
}
return input_tensor;
}
void PrintOutputTensor(const ge::Tensor &output_tensor) {
const auto tensor_desc = output_tensor.GetTensorDesc();
const auto shape = tensor_desc.GetShape();
const auto dims = shape.GetDims();
std::cout << "output shape: [";
for (size_t i = 0U; i < dims.size(); ++i) {
if (i != 0U) {
std::cout << ", ";
}
std::cout << dims[i];
}
std::cout << "]" << std::endl;
int64_t element_count = shape.GetShapeSize();
if (element_count <= 0) {
element_count = static_cast<int64_t>(output_tensor.GetSize() / sizeof(int64_t));
}
const auto *output_data = reinterpret_cast<const int64_t *>(output_tensor.GetData());
std::cout << "output values:";
for (int64_t i = 0; i < element_count; ++i) {
std::cout << " " << output_data[i];
}
std::cout << std::endl;
}
}
int main(int argc, char *argv[]) {
(void)argc;
(void)argv;
std::map<ge::AscendString, ge::AscendString> options = {
{"ge.exec.deviceId", "0"},
{"ge.graphRunMode", "0"},
};
const auto init_ret = ge::GEInitialize(options);
if (init_ret != ge::SUCCESS) {
std::cerr << "GEInitialize failed, ret: " << init_ret << std::endl;
return 1;
}
int ret_code = 0;
{
ge::Session session(options);
auto graph = BuildGraph();
if (graph == nullptr) {
std::cerr << "BuildGraph failed" << std::endl;
(void)ge::GEFinalize();
return 1;
}
const auto add_graph_ret = session.AddGraph(kGraphId, *graph);
if (add_graph_ret != ge::SUCCESS) {
std::cerr << "AddGraph failed, ret: " << add_graph_ret << std::endl;
ret_code = 1;
} else {
std::vector<ge::Tensor> inputs{BuildInputTensor()};
std::vector<ge::Tensor> outputs;
const auto run_ret = session.RunGraph(kGraphId, inputs, outputs);
if (run_ret != ge::SUCCESS) {
std::cerr << "RunGraph failed, ret: " << run_ret << std::endl;
ret_code = 1;
} else if (outputs.empty()) {
std::cerr << "RunGraph success but outputs is empty" << std::endl;
ret_code = 1;
} else {
PrintOutputTensor(outputs[0]);
}
(void)session.RemoveGraph(kGraphId);
}
}
const auto finalize_ret = ge::GEFinalize();
if (finalize_ret != ge::SUCCESS) {
std::cerr << "GEFinalize failed, ret: " << finalize_ret << std::endl;
return 1;
}
return ret_code;
}