* 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/variable_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)
{
ge::Graph graph("test_variable_ir");
ge::DataType inDtype = ge::DT_FLOAT;
vector<int64_t> xShape = {2, 3};
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);
data_node.update_input_desc_x(data_desc);
auto variable_node = op::Variable("variable_node");
variable_node.set_input_x(data_node);
variable_node.set_attr_container("");
variable_node.set_attr_shared_name("");
float* pData = new float[6];
for (int i = 0; i < 6; i++) {
pData[i] = 1.0f;
}
ge::Tensor tensor_data(data_desc, (uint8_t*)pData, 24);
input.push_back(tensor_data);
std::vector<ge::Operator> inputs{data_node};
std::vector<ge::Operator> outputs{variable_node};
graph.SetInputs(inputs).SetOutputs(outputs);
graph.AddOp(data_node);
graph.AddOp(variable_node);
return graph;
}
ge::Graph BuildDynamicShapeGraphDimNeg1(std::vector<ge::Tensor>& input)
{
ge::Graph graph("test_variable_dynamic_dim_neg1");
ge::DataType inDtype = ge::DT_FLOAT;
vector<int64_t> xShape = {-1, 3};
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);
data_desc.SetShapeRange({{1, 10}, {3, 3}});
data_node.update_input_desc_x(data_desc);
float* pData = new float[6];
for (int i = 0; i < 6; i++) {
pData[i] = 1.0f;
}
ge::TensorDesc real_desc = ge::TensorDesc(ge::Shape({2, 3}), ge::FORMAT_ND, inDtype);
ge::Tensor tensor_data(real_desc, (uint8_t*)pData, 24);
input.push_back(tensor_data);
auto variable_node = op::Variable("variable_node");
variable_node.set_input_x(data_node);
variable_node.set_attr_container("");
variable_node.set_attr_shared_name("");
std::vector<ge::Operator> inputs{data_node};
std::vector<ge::Operator> outputs{variable_node};
graph.SetInputs(inputs).SetOutputs(outputs);
graph.AddOp(data_node);
graph.AddOp(variable_node);
return graph;
}
ge::Graph BuildDynamicShapeGraphDimNeg2(std::vector<ge::Tensor>& input)
{
ge::Graph graph("test_variable_dynamic_dim_neg2");
ge::DataType inDtype = ge::DT_FLOAT;
vector<int64_t> xShape = {-2};
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);
data_node.update_input_desc_x(data_desc);
float* pData = new float[6];
for (int i = 0; i < 6; i++) {
pData[i] = 1.0f;
}
ge::TensorDesc real_desc = ge::TensorDesc(ge::Shape({2, 3}), ge::FORMAT_ND, inDtype);
ge::Tensor tensor_data(real_desc, (uint8_t*)pData, 24);
input.push_back(tensor_data);
auto variable_node = op::Variable("variable_node");
variable_node.set_input_x(data_node);
variable_node.set_attr_container("");
variable_node.set_attr_shared_name("");
std::vector<ge::Operator> inputs{data_node};
std::vector<ge::Operator> outputs{variable_node};
graph.SetInputs(inputs).SetOutputs(outputs);
graph.AddOp(data_node);
graph.AddOp(variable_node);
return graph;
}
bool CheckOutput(const vector<ge::Tensor>& output)
{
if (output.empty()) {
printf("%s - ERROR - [XIR]: Output verification FAILED: output is empty\n", GetTime().c_str());
return false;
}
return true;
}
struct RunContext {
const map<ge::AscendString, ge::AscendString>& session_options;
uint32_t graph_id;
};
bool RunScenario(const string& tag, ge::Graph (*builder)(vector<ge::Tensor>&), RunContext& ctx, const string& om_name)
{
printf("%s - INFO - [XIR]: === %s ===\n", GetTime().c_str(), tag.c_str());
vector<ge::Tensor> input;
ge::Graph graph = builder(input);
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]: RunGraph failed\n", GetTime().c_str());
delete session;
return false;
}
printf("%s - INFO - [XIR]: RunGraph success, output count=%zu\n", GetTime().c_str(), output.size());
for (size_t i = 0; i < output.size(); i++) {
auto out_shape = output[i].GetTensorDesc().GetShape();
printf("%s - INFO - [XIR]: output[%zu] dim_num=%zu", GetTime().c_str(), i, out_shape.GetDimNum());
for (size_t d = 0; d < out_shape.GetDimNum(); d++) {
printf(" dim%zu=%ld", d, out_shape.GetDim(d));
}
printf(" shape_size=%ld dtype=%d\n", out_shape.GetShapeSize(), output[i].GetTensorDesc().GetDataType());
}
if (!CheckOutput(output)) {
delete session;
return false;
}
delete session;
vector<ge::Tensor> input_om;
ge::Graph graph_om = builder(input_om);
ge::ModelBufferData model_buffer;
ret = aclgrphBuildModel(graph_om, ctx.session_options, model_buffer);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: BuildModel failed\n", GetTime().c_str());
return false;
}
aclgrphSaveModel(om_name.c_str(), model_buffer);
printf("%s - INFO - [XIR]: Save OM success: %s\n", GetTime().c_str(), om_name.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", BuildGraph, ctx, "./variable_model.om")) {
ge::GEFinalize();
return FAILED;
}
if (!RunScenario("dynamic(-1)", BuildDynamicShapeGraphDimNeg1, ctx, "./variable_dynamic_neg1_model.om")) {
ge::GEFinalize();
return FAILED;
}
if (!RunScenario("dynamic(-2)", BuildDynamicShapeGraphDimNeg2, ctx, "./variable_dynamic_neg2_model.om")) {
ge::GEFinalize();
return FAILED;
}
ge::GEFinalize();
printf("%s - INFO - [XIR]: Finalize success\n", GetTime().c_str());
return SUCCESS;
}
