* 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 <fstream>
#include <string.h>
#include <stdint.h>
#include <vector>
#include <string>
#include <map>
#include "assert.h"
#include "graph.h"
#include "types.h"
#include "tensor.h"
#include "ge_error_codes.h"
#include "ge_api_types.h"
#include "ge_api.h"
#include "ge_ir_build.h"
#include "../../data/op_graph/data_proto.h"
#include "../op_graph/aipp_data_proto.h"
#define FAILED -1
#define SUCCESS 0
using std::map;
using std::string;
using std::vector;
using namespace ge;
string GetTime()
{
time_t timep;
time(&timep);
char tmp[64];
strftime(tmp, sizeof(tmp), "%Y-%m-%d %H:%M:%S,000", localtime(&timep));
return string(tmp);
}
ge::Graph BuildGraph(std::vector<ge::Tensor>& input, const vector<int64_t>& xShape, const string& graphName)
{
ge::Graph graph(graphName.c_str());
ge::DataType inDtype = ge::DT_UINT8;
auto data_node = op::Data("data_node");
data_node.set_attr_index(0);
ge::TensorDesc data_desc = ge::TensorDesc(ge::Shape(xShape), ge::FORMAT_ND, inDtype);
data_desc.SetPlacement(ge::kPlacementHost);
data_desc.SetFormat(ge::FORMAT_ND);
if (xShape[0] == -1) {
data_desc.SetShapeRange({{1, 10}, {3, 3}});
}
data_node.update_input_desc_x(data_desc);
auto aipp_node = op::AippData("aipp_data_node");
aipp_node.set_input_data(data_node);
ge::TensorDesc aipp_desc = ge::TensorDesc(ge::Shape(xShape), ge::FORMAT_ND, inDtype);
aipp_node.update_input_desc_data(aipp_desc);
uint8_t* pData = new uint8_t[6];
for (int i = 0; i < 6; i++) {
pData[i] = 1;
}
ge::TensorDesc real_desc = ge::TensorDesc(ge::Shape({2, 3}), ge::FORMAT_ND, inDtype);
ge::Tensor tensor_data(real_desc, (uint8_t*)pData, 6);
input.push_back(tensor_data);
uint8_t* pAippData = new uint8_t[6];
for (int i = 0; i < 6; i++) {
pAippData[i] = 1;
}
ge::Tensor aipp_tensor_data(real_desc, (uint8_t*)pAippData, 6);
input.push_back(aipp_tensor_data);
std::vector<ge::Operator> inputs{data_node};
std::vector<ge::Operator> outputs{aipp_node};
graph.SetInputs(inputs).SetOutputs(outputs);
graph.AddOp(data_node);
graph.AddOp(aipp_node);
return graph;
}
bool CheckOutput(const vector<ge::Tensor>& output, const vector<ge::Tensor>& input)
{
if (output.size() != 1U) {
printf("%s - ERROR - [XIR]: output count=%zu, expected 1\n", GetTime().c_str(), output.size());
return false;
}
auto desc = output[0].GetTensorDesc();
auto shape = desc.GetShape();
printf("%s - INFO - [XIR]: output desc: dim_num=%zu", GetTime().c_str(), shape.GetDimNum());
for (size_t i = 0; i < shape.GetDimNum(); i++) {
printf(" dim%zu=%ld", i, shape.GetDim(i));
}
printf(" shape_size=%ld dtype=%d\n", shape.GetShapeSize(), desc.GetDataType());
if (shape.GetDimNum() != 2 || shape.GetDim(0) != 2 || shape.GetDim(1) != 3) {
printf("%s - ERROR - [XIR]: Output shape FAILED: expected {2,3}\n", GetTime().c_str());
return false;
}
if (shape.GetShapeSize() != 6) {
printf("%s - ERROR - [XIR]: Output shape_size FAILED: expected 6\n", GetTime().c_str());
return false;
}
if (desc.GetDataType() != ge::DT_UINT8) {
printf("%s - ERROR - [XIR]: Output dtype FAILED: expected=%d actual=%d\n", GetTime().c_str(), ge::DT_UINT8,
desc.GetDataType());
return false;
}
const uint8_t* outData = output[0].GetData();
const uint8_t* inData = input[0].GetData();
if (outData == nullptr || inData == nullptr) {
printf("%s - ERROR - [XIR]: Output data is null\n", GetTime().c_str());
return false;
}
for (int64_t i = 0; i < 6; i++) {
if (outData[i] != inData[i]) {
printf("%s - ERROR - [XIR]: Output value verification FAILED: out[%ld]=%d expected=%d\n", GetTime().c_str(),
i, outData[i], inData[i]);
return false;
}
}
printf("%s - INFO - [XIR]: Output value verification success (passthrough: output == input)\n", GetTime().c_str());
return true;
}
struct RunContext {
const map<ge::AscendString, ge::AscendString>& session_options;
uint32_t graph_id;
};
bool RunScenario(const string& tag, const vector<int64_t>& xShape, const string& graphName, const string& omName,
RunContext& ctx)
{
printf("%s - INFO - [XIR]: === %s ===\n", GetTime().c_str(), tag.c_str());
vector<ge::Tensor> input;
ge::Graph graph = BuildGraph(input, xShape, graphName);
ge::Session* session = new ge::Session(ctx.session_options);
if (session == nullptr) {
printf("%s - ERROR - [XIR]: Create session failed\n", GetTime().c_str());
return false;
}
ge::Status ret = session->AddGraph(ctx.graph_id, graph, ctx.session_options);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Add graph failed\n", GetTime().c_str());
delete session;
return false;
}
vector<ge::Tensor> output;
ret = session->RunGraph(ctx.graph_id, input, output);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Run graph on NPU failed\n", GetTime().c_str());
delete session;
return false;
}
printf("%s - INFO - [XIR]: Run graph on NPU success, output count=%zu\n", GetTime().c_str(), output.size());
delete session;
if (!CheckOutput(output, input)) {
return false;
}
vector<ge::Tensor> inputOm;
ge::Graph graphOm = BuildGraph(inputOm, xShape, graphName);
ge::ModelBufferData model_buffer;
ret = aclgrphBuildModel(graphOm, ctx.session_options, model_buffer);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Build model failed\n", GetTime().c_str());
return false;
}
aclgrphSaveModel(omName.c_str(), model_buffer);
printf("%s - INFO - [XIR]: Save OM success: %s\n", GetTime().c_str(), omName.c_str());
printf("%s - INFO - [XIR]: %s PASSED\n", GetTime().c_str(), tag.c_str());
ctx.graph_id++;
return true;
}
int main(int argc, char* argv[])
{
printf("%s - INFO - [XIR]: Start to initialize ge\n", GetTime().c_str());
std::map<ge::AscendString, ge::AscendString> global_options = {{"ge.exec.deviceId", "0"}, {"ge.graphRunMode", "1"}};
ge::Status ret = ge::GEInitialize(global_options);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Initialize ge failed\n", GetTime().c_str());
return FAILED;
}
printf("%s - INFO - [XIR]: Initialize ge success\n", GetTime().c_str());
std::map<ge::AscendString, ge::AscendString> session_options;
RunContext ctx{session_options, 0};
if (!RunScenario("static", vector<int64_t>{2, 3}, "test_aipp_data_ir", "./aipp_data_model.om", ctx)) {
ge::GEFinalize();
return FAILED;
}
if (!RunScenario("dynamic(-1)", vector<int64_t>{-1, 3}, "test_aipp_data_dynamic_dim_neg1",
"./aipp_data_dynamic_neg1_model.om", ctx)) {
ge::GEFinalize();
return FAILED;
}
if (!RunScenario("dynamic(-2)", vector<int64_t>{-2}, "test_aipp_data_dynamic_dim_neg2",
"./aipp_data_dynamic_neg2_model.om", ctx)) {
ge::GEFinalize();
return FAILED;
}
ge::GEFinalize();
printf("%s - INFO - [XIR]: Finalize success\n", GetTime().c_str());
return SUCCESS;
}