* 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 "array_ops.h"
#include "ge_ir_build.h"
#include "../op_graph/expint_proto.h"
#define FAILED -1
#define SUCCESS 0
using namespace ge;
using std::map;
using std::string;
using std::vector;
#define ADD_INPUT(inputIndex, inputName, inputDtype, inputShape) \
vector<int64_t> placeholder##inputIndex##_shape = inputShape; \
auto placeholder##inputIndex = op::Data(std::string("placeholder") + std::to_string(inputIndex)) \
.set_attr_index(0); \
TensorDesc placeholder##inputIndex##_desc = TensorDesc(ge::Shape(placeholder##inputIndex##_shape), FORMAT_ND, \
inputDtype); \
placeholder##inputIndex##_desc.SetPlacement(ge::kPlacementHost); \
placeholder##inputIndex##_desc.SetFormat(FORMAT_ND); \
Tensor tensor_placeholder##inputIndex; \
ret = GenOnesData(placeholder##inputIndex##_shape, tensor_placeholder##inputIndex, placeholder##inputIndex##_desc, \
inputDtype, 2); \
if (ret != SUCCESS) { \
printf("%s - ERROR - [XIR]: Generate input data failed\n", GetTime().c_str()); \
return FAILED; \
} \
placeholder##inputIndex.update_input_desc_x(placeholder##inputIndex##_desc); \
input.push_back(tensor_placeholder##inputIndex); \
graph.AddOp(placeholder##inputIndex); \
expintOp.set_input_##inputName(placeholder##inputIndex); \
inputs.push_back(placeholder##inputIndex);
#define ADD_OUTPUT(outputIndex, outputName, outputDtype, outputShape) \
TensorDesc outputName##outputIndex##_desc = TensorDesc(ge::Shape(outputShape), FORMAT_ND, outputDtype); \
expintOp.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 dilation = 1;
if (dt == ge::DT_FLOAT) {
dilation = 4;
} else if (dt == ge::DT_FLOAT16) {
dilation = 2;
} else if (dt == ge::DT_BF16) {
dilation = 2;
} else if (dt == ge::DT_INT32) {
dilation = 4;
} else if (dt == ge::DT_INT64) {
dilation = 8;
}
return dilation;
}
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];
}
size_t data_len = size * GetDataTypeSize(data_type);
uint8_t* pData = new (std::nothrow) uint8_t[data_len];
if (pData == nullptr) {
return FAILED;
}
if (data_type == DT_FLOAT) {
float* fData = reinterpret_cast<float*>(pData);
for (uint32_t i = 0; i < size; ++i) {
fData[i] = static_cast<float>(value);
}
} else if (data_type == DT_FLOAT16) {
uint16_t* hData = reinterpret_cast<uint16_t*>(pData);
for (uint32_t i = 0; i < size; ++i) {
float fval = static_cast<float>(value);
uint16_t hval;
uint32_t fbits;
memcpy(&fbits, &fval, sizeof(fbits));
uint32_t sign = (fbits >> 16) & 0x8000;
int32_t exp = ((fbits >> 23) & 0xFF) - 127 + 15;
uint32_t mant = (fbits >> 13) & 0x3FF;
if (exp <= 0) {
hval = sign;
} else if (exp >= 31) {
hval = sign | 0x7C00;
} else {
hval = sign | (exp << 10) | mant;
}
hData[i] = hval;
}
} else if (data_type == DT_BF16) {
uint16_t* bData = reinterpret_cast<uint16_t*>(pData);
for (uint32_t i = 0; i < size; ++i) {
float fval = static_cast<float>(value);
uint32_t fbits;
memcpy(&fbits, &fval, sizeof(fbits));
bData[i] = static_cast<uint16_t>(fbits >> 16);
}
} else {
int32_t* iData = reinterpret_cast<int32_t*>(pData);
for (uint32_t i = 0; i < size; ++i) {
iData[i] = value;
}
}
input_tensor = Tensor(input_tensor_desc, pData, data_len);
delete[] pData;
return SUCCESS;
}
int32_t WriteDataToFile(string bin_file, uint64_t data_size, uint8_t* inputData)
{
FILE* fp = fopen(bin_file.c_str(), "w");
if (fp == nullptr) {
return FAILED;
}
size_t written = fwrite(inputData, sizeof(uint8_t), data_size, fp);
fclose(fp);
if (written != data_size) {
return FAILED;
}
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 expintOp = op::Expint("expint1");
std::vector<int64_t> xShape = {4, 4};
ADD_INPUT(1, x, inDtype, xShape);
ADD_OUTPUT(1, y, inDtype, xShape);
outputs.push_back(expintOp);
return SUCCESS;
}
int main(int argc, char* argv[])
{
const char* graph_name = "tc_ge_irrun_test_expint";
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 - INFO - [XIR]: Initialize ge using ge global options failed\n", GetTime().c_str());
return FAILED;
}
printf("%s - INFO - [XIR]: Initialize ge using ge global options 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 ir session using build options 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 ir session using build options\n", GetTime().c_str());
ge::Session* session = new Session(build_options);
if (session == nullptr) {
printf("%s - ERROR - [XIR]: Create ir session using build options failed\n", GetTime().c_str());
return FAILED;
}
printf("%s - INFO - [XIR]: Create ir session using build options success\n", GetTime().c_str());
printf("%s - INFO - [XIR]: Start to add compute graph to ir session\n", GetTime().c_str());
std::map<AscendString, AscendString> graph_options = {};
uint32_t graph_id = 0;
ret = session->AddGraph(graph_id, graph, graph_options);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Add graph to session failed\n", GetTime().c_str());
delete session;
GEFinalize();
return FAILED;
}
printf("%s - INFO - [XIR]: Session add ir compute graph to ir session success\n", GetTime().c_str());
printf("%s - INFO - [XIR]: Start to run ir compute graph\n", GetTime().c_str());
std::vector<ge::Tensor> output;
ret = session->RunGraph(graph_id, input, output);
if (ret != SUCCESS) {
printf("%s - INFO - [XIR]: Run graph failed\n", GetTime().c_str());
delete session;
GEFinalize();
return FAILED;
}
printf("%s - INFO - [XIR]: Session run ir compute graph success\n", GetTime().c_str());
int output_num = output.size();
for (int i = 0; i < output_num; i++) {
std::cout << "output " << i << " dtype : " << output[i].GetTensorDesc().GetDataType() << std::endl;
string output_file = "./tc_ge_irrun_test_expint_npu_output_" + std::to_string(i) + ".bin";
uint8_t* output_data_i = output[i].GetData();
int64_t output_shape = output[i].GetTensorDesc().GetShape().GetShapeSize();
std::cout << "this is " << i << "th output, output shape size =" << output_shape << std::endl;
uint32_t data_size = output_shape * GetDataTypeSize(output[i].GetTensorDesc().GetDataType());
WriteDataToFile((const char*)output_file.c_str(), data_size, output_data_i);
}
printf("%s - INFO - [XIR]: Precision is ok\n", GetTime().c_str());
printf("%s - INFO - [XIR]: Start to finalize ir graph session\n", GetTime().c_str());
delete session;
ret = ge::GEFinalize();
if (ret != SUCCESS) {
printf("%s - INFO - [XIR]: Finalize ir graph session failed\n", GetTime().c_str());
return FAILED;
}
printf("%s - INFO - [XIR]: Finalize ir graph session success\n", GetTime().c_str());
return SUCCESS;
}
