* 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_tile_with_axis.cpp
* \brief GE IR test for TileWithAxis operator
*
* TileWithAxis: input x[2,3,2], axis=1, tiles=2 -> output y[2,6,2]
* 使用 DT_INT64 数据类型，AICore 不支持该类型，自动走 AICPU 算子路径。
*/
#include <iostream>
#include <fstream>
#include <string.h>
#include <stdint.h>
#include <ctime>
#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/tile_with_axis_proto.h"
#define FAILED -1
#define SUCCESS 0
using namespace ge;
using std::map;
using std::string;
using std::vector;
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)
{
switch (dt) {
case ge::DT_BOOL:
return 1U;
case ge::DT_INT8:
case ge::DT_UINT8:
return 1U;
case ge::DT_FLOAT16:
case ge::DT_INT16:
case ge::DT_UINT16:
return 2U;
case ge::DT_FLOAT:
case ge::DT_INT32:
case ge::DT_UINT32:
return 4U;
case ge::DT_INT64:
case ge::DT_UINT64:
return 8U;
default:
return 0U;
}
}
int32_t GenData(vector<int64_t> shapes, Tensor& tensor, TensorDesc& desc, DataType dt, double value)
{
desc.SetRealDimCnt(shapes.size());
size_t size = 1;
for (size_t i = 0; i < shapes.size(); i++) {
size *= static_cast<size_t>(shapes[i]);
}
uint32_t type_size = GetDataTypeSize(dt);
if (type_size == 0U) {
printf("%s - ERROR - [XIR]: GenData: unsupported data type %d\n", GetTime().c_str(), dt);
return FAILED;
}
uint32_t data_len = static_cast<uint32_t>(size * type_size);
uint8_t* buf = new (std::nothrow) uint8_t[data_len];
if (buf == nullptr) {
return FAILED;
}
switch (dt) {
case DT_FLOAT: {
float* p = reinterpret_cast<float*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<float>(value + static_cast<double>(i));
}
break;
}
case DT_INT64: {
int64_t* p = reinterpret_cast<int64_t*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<int64_t>(value + static_cast<double>(i));
}
break;
}
case DT_INT32: {
int32_t* p = reinterpret_cast<int32_t*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<int32_t>(value + static_cast<double>(i));
}
break;
}
case DT_INT16: {
int16_t* p = reinterpret_cast<int16_t*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<int16_t>(value + static_cast<double>(i));
}
break;
}
case DT_INT8: {
int8_t* p = reinterpret_cast<int8_t*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<int8_t>(value + static_cast<double>(i));
}
break;
}
case DT_UINT64: {
uint64_t* p = reinterpret_cast<uint64_t*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<uint64_t>(value + static_cast<double>(i));
}
break;
}
case DT_UINT32: {
uint32_t* p = reinterpret_cast<uint32_t*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<uint32_t>(value + static_cast<double>(i));
}
break;
}
case DT_UINT16: {
uint16_t* p = reinterpret_cast<uint16_t*>(buf);
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<uint16_t>(value + static_cast<double>(i));
}
break;
}
case DT_UINT8: {
uint8_t* p = buf;
for (size_t i = 0; i < size; i++) {
p[i] = static_cast<uint8_t>(value + static_cast<double>(i));
}
break;
}
default:
printf("%s - ERROR - [XIR]: GenData: unsupported data type %d\n", GetTime().c_str(), dt);
delete[] buf;
return FAILED;
}
tensor = Tensor(desc, buf, data_len);
delete[] buf;
return SUCCESS;
}
int32_t WriteDataToFile(string bin_file, uint64_t data_size, uint8_t* inputData)
{
FILE* fp = fopen(bin_file.c_str(), "wb");
if (fp == nullptr) {
return FAILED;
}
size_t written = fwrite(inputData, 1, data_size, fp);
fclose(fp);
if (written != data_size) {
return FAILED;
}
return SUCCESS;
}
void ProcessInputData(vector<Tensor>& input)
{
for (size_t i = 0; i < input.size(); i++) {
string input_file = "./tc_ge_irrun_test_0008_npu_input_" + std::to_string(i) + ".bin";
uint8_t* input_data_i = input[i].GetData();
int64_t input_shape = input[i].GetTensorDesc().GetShape().GetShapeSize();
uint32_t type_size = GetDataTypeSize(input[i].GetTensorDesc().GetDataType());
if (type_size == 0U) {
printf("ERROR: input %zu has unsupported dtype\n", i);
continue;
}
uint32_t data_size = static_cast<uint32_t>(input_shape * type_size);
WriteDataToFile(input_file.c_str(), data_size, input_data_i);
}
}
void ProcessOutputData(vector<Tensor>& output)
{
for (size_t i = 0; i < output.size(); i++) {
string output_file = "./tc_ge_irrun_test_0008_npu_output_" + std::to_string(i) + ".bin";
uint8_t* output_data_i = output[i].GetData();
int64_t output_shape = output[i].GetTensorDesc().GetShape().GetShapeSize();
uint32_t type_size = GetDataTypeSize(output[i].GetTensorDesc().GetDataType());
if (type_size == 0U) {
printf("ERROR: output %zu has unsupported dtype\n", i);
continue;
}
uint32_t data_size = static_cast<uint32_t>(output_shape * type_size);
WriteDataToFile(output_file.c_str(), data_size, output_data_i);
}
}
int CreateOppInGraph(DataType inDtype, vector<Tensor>& input, vector<Operator>& inputs, vector<Operator>& outputs,
Graph& graph)
{
Status ret = SUCCESS;
auto node = op::TileWithAxis("tile_with_axis_1");
vector<int64_t> xShape = {2, 3, 2};
TensorDesc xDesc(ge::Shape(xShape), FORMAT_ND, inDtype);
xDesc.SetPlacement(ge::kPlacementHost);
xDesc.SetFormat(FORMAT_ND);
Tensor xTensor;
ret = GenData(xShape, xTensor, xDesc, inDtype, 1.0);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Generate input data failed\n", GetTime().c_str());
return FAILED;
}
input.push_back(xTensor);
auto xData = op::Data("x_data").set_attr_index(0);
xData.update_input_desc_x(xDesc);
xData.update_output_desc_y(xDesc);
node.set_input_x(xData);
node.SetAttr("axis", 1);
node.SetAttr("tiles", 2);
vector<int64_t> yShape = {2, 6, 2};
TensorDesc yDesc(ge::Shape(yShape), FORMAT_ND, inDtype);
node.update_output_desc_y(yDesc);
graph.AddOp(xData);
graph.AddOp(node);
inputs.push_back(xData);
outputs.push_back(node);
return SUCCESS;
}
int main(int argc, char* argv[])
{
const char* graph_name = "tc_ge_irrun_test";
Graph graph(graph_name);
vector<Tensor> input;
printf("%s - INFO - [XIR]: Start to initialize ge\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());
vector<Operator> inputs{};
vector<Operator> outputs{};
DataType inDtype = DT_INT64;
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 = {};
ge::Session* session = new Session(build_options);
if (session == nullptr) {
printf("%s - ERROR - [XIR]: Create session failed\n", GetTime().c_str());
return FAILED;
}
uint32_t graph_id = 0;
std::map<AscendString, AscendString> graph_options = {};
ret = session->AddGraph(graph_id, graph, graph_options);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Add graph failed\n", GetTime().c_str());
delete session;
GEFinalize();
return FAILED;
}
vector<Tensor> output;
ret = session->RunGraph(graph_id, input, output);
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Run graph failed\n", GetTime().c_str());
delete session;
GEFinalize();
return FAILED;
}
printf("%s - INFO - [XIR]: Run graph success\n", GetTime().c_str());
ProcessInputData(input);
ProcessOutputData(output);
delete session;
ret = ge::GEFinalize();
if (ret != SUCCESS) {
printf("%s - ERROR - [XIR]: Finalize failed\n", GetTime().c_str());
return FAILED;
}
printf("%s - INFO - [XIR]: Finalize ir graph session success\n", GetTime().c_str());
return SUCCESS;
}
