* 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.
*/
* @file test_geir_bnll.cpp
* @brief GE IR pathway verification for BNLL operator
*
* Validates the GE IR (Graph Engine IR) invocation pathway:
* 1. Build a GE graph with the BNLL operator
* 2. Create a GE session and add the graph
* 3. Run the graph and verify output
*/
#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 "array_ops.h"
#include "ge_ir_build.h"
#include "../op_graph/bnll_proto.h"
#define FAILED -1
#define SUCCESS 0
using namespace ge;
using std::map;
using std::string;
using std::vector;
#define ADD_INPUT(intputIndex, intputName, intputDtype, inputShape) \
vector<int64_t> placeholder##intputIndex##_shape = inputShape; \
auto placeholder##intputIndex = op::Data("placeholder" + intputIndex).set_attr_index(0); \
TensorDesc placeholder##intputIndex##_desc = TensorDesc(ge::Shape(placeholder##intputIndex##_shape), FORMAT_ND, \
intputDtype); \
placeholder##intputIndex##_desc.SetPlacement(ge::kPlacementHost); \
placeholder##intputIndex##_desc.SetFormat(FORMAT_ND); \
Tensor tensor_placeholder##intputIndex; \
ret = GenOnesData(placeholder##intputIndex##_shape, tensor_placeholder##intputIndex, \
placeholder##intputIndex##_desc, intputDtype, 2); \
if (ret != SUCCESS) { \
printf("%s - ERROR - [XIR]: Generate input data failed\n", GetTime().c_str()); \
return FAILED; \
} \
placeholder##intputIndex.update_input_desc_x(placeholder##intputIndex##_desc); \
input.push_back(tensor_placeholder##intputIndex); \
graph.AddOp(placeholder##intputIndex); \
op1.set_input_##intputName(placeholder##intputIndex); \
inputs.push_back(placeholder##intputIndex)
#define ADD_OUTPUT(outputIndex, outputName, outputDtype, outputShape) \
TensorDesc outputName##outputIndex##_desc = TensorDesc(ge::Shape(outputShape), FORMAT_ND, outputDtype); \
op1.update_output_desc_##outputName(outputName##outputIndex##_desc)
string GetTime()
{
time_t timep;
time(&timep);
char tmp[64];
strftime(tmp, sizeof(tmp), "%Y-%m-%d %H:%M:%S,000", localtime(&timep));
return tmp;
}
uint32_t GetDataTypeSize(DataType dt)
{
uint32_t oneByte = 1;
uint32_t twoByte = 2;
uint32_t fourByte = 4;
uint32_t eightByte = 8;
if (dt == ge::DT_FLOAT) {
return fourByte;
} else if (dt == ge::DT_FLOAT16 || dt == ge::DT_INT16 || dt == ge::DT_UINT16) {
return twoByte;
} else if (dt == ge::DT_INT32 || dt == ge::DT_UINT32) {
return fourByte;
} else if (dt == ge::DT_INT64 || dt == ge::DT_UINT64) {
return eightByte;
} else if (dt == ge::DT_INT8) {
return oneByte;
}
return oneByte;
}
int32_t GenOnesData(vector<int64_t> shapes, Tensor& input_tensor, TensorDesc& input_tensor_desc, DataType data_type,
int value)
{
input_tensor_desc.SetRealDimCnt(shapes.size());
size_t size = 1;
for (uint32_t i = 0; i < shapes.size(); i++) {
size *= shapes[i];
}
uint32_t data_len = size * GetDataTypeSize(data_type);
int32_t* pData = new (std::nothrow) int32_t[data_len];
for (uint32_t i = 0; i < size; ++i) {
*(pData + i) = value;
}
input_tensor = Tensor(input_tensor_desc, reinterpret_cast<uint8_t*>(pData), data_len);
return SUCCESS;
}
int32_t WriteDataToFile(string bin_file, uint64_t data_size, uint8_t* inputData)
{
FILE* fp = fopen(bin_file.c_str(), "w");
fwrite(inputData, sizeof(uint8_t), data_size, fp);
fclose(fp);
return SUCCESS;
}
int CreateOppInGraph(DataType inDtype, std::vector<ge::Tensor>& input, std::vector<Operator>& inputs,
std::vector<Operator>& outputs, Graph& graph)
{
Status ret = SUCCESS;
auto op1 = op::BNLL("op1");
std::vector<int64_t> xShape = {8, 16};
ADD_INPUT(1, x, inDtype, xShape);
std::vector<int64_t> outShape = {8, 16};
ADD_OUTPUT(1, y, inDtype, outShape);
outputs.push_back(op1);
return SUCCESS;
}
int main(int argc, char* argv[])
{
const char* graph_name = "e2e_verify_geir_bnll";
Graph graph(graph_name);
std::vector<ge::Tensor> input;
printf("%s - INFO - [XIR]: Start to initialize ge using ge global options\n", GetTime().c_str());
std::map<AscendString, AscendString> global_options = {{"ge.exec.deviceId", "0"}, {"ge.graphRunMode", "1"}};
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::vector<Operator> inputs{};
std::vector<Operator> outputs{};
DataType inDtype = DT_FLOAT;
ret = CreateOppInGraph(inDtype, input, inputs, outputs, graph);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Create graph failed\n", GetTime().c_str());
return FAILED;
}
if (!inputs.empty() && !outputs.empty()) {
graph.SetInputs(inputs).SetOutputs(outputs);
}
std::map<AscendString, AscendString> build_options = {};
printf("%s - INFO - [XIR]: Start to create session\n", GetTime().c_str());
ge::Session* session = new Session(build_options);
if (session == nullptr) {
printf("%s - ERROR - [XIR]: Create session failed\n", GetTime().c_str());
return FAILED;
}
printf("%s - INFO - [XIR]: Create session success\n", GetTime().c_str());
std::map<AscendString, AscendString> graph_options = {};
uint32_t graph_id = 0;
ret = session->AddGraph(graph_id, graph, graph_options);
printf("%s - INFO - [XIR]: Add graph success\n", GetTime().c_str());
printf("%s - INFO - [XIR]: Start to run graph\n", GetTime().c_str());
std::vector<ge::Tensor> output;
ret = session->RunGraph(graph_id, input, output);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Run graph failed\n", GetTime().c_str());
ge::AscendString error_msg = ge::GEGetErrorMsgV2();
std::string error_str(error_msg.GetString());
std::cout << "Error message: " << error_str << std::endl;
delete session;
GEFinalize();
return FAILED;
}
printf("%s - INFO - [XIR]: Run graph success\n", GetTime().c_str());
int output_num = output.size();
for (int i = 0; i < output_num; i++) {
int64_t output_shape = output[i].GetTensorDesc().GetShape().GetShapeSize();
std::cout << "output " << i << " shape size = " << output_shape
<< ", dtype = " << output[i].GetTensorDesc().GetDataType() << std::endl;
}
printf("%s - INFO - [XIR]: GE IR pathway verification PASSED\n", GetTime().c_str());
ret = ge::GEFinalize();
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Finalize failed\n", GetTime().c_str());
return FAILED;
}
printf("%s - INFO - [XIR]: Finalize success\n", GetTime().c_str());
return SUCCESS;
}
