* Copyright (c) 2025 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 "experiment_ops.h"
#include "nn_other.h"
#include "../op_graph/equal_proto.h"
#define FAILED -1
#define SUCCESS 0
using namespace ge;
using std::map;
using std::string;
using std::vector;
#define ADD_INPUT(idx, name, dtype, shape) \
do { \
std::string name##idx = "placeholder" + std::to_string(idx); \
auto placeholder##idx = op::Data(name##idx.c_str()).set_attr_index(0); \
TensorDesc placeholder##idx##_desc(ge::Shape(shape), FORMAT_ND, dtype); \
placeholder##idx##_desc.SetPlacement(ge::kPlacementHost); \
Tensor tensor_placeholder##idx; \
ret = GenOnesDataFloat32(shape, tensor_placeholder##idx, placeholder##idx##_desc, 2.3f); \
if (ret != SUCCESS) { \
printf("%s - ERROR - generate input failed\n", GetTime().c_str()); \
return FAILED; \
} \
placeholder##idx.update_input_desc_x(placeholder##idx##_desc); \
graph.AddOp(placeholder##idx); \
input.push_back(tensor_placeholder##idx); \
equal1.set_input_##name(placeholder##idx); \
inputs.push_back(placeholder##idx); \
} while (0)
#define ADD_OUTPUT(idx, name, dtype, shape) \
do { \
TensorDesc name##idx##_desc(ge::Shape(shape), FORMAT_ND, dtype); \
equal1.update_output_desc_##name(name##idx##_desc); \
} while (0)
string GetTime()
{
time_t t;
time(&t);
char buf[64];
strftime(buf, sizeof(buf), "%Y-%m-%d %H:%M:%S,000", localtime(&t));
return buf;
}
uint32_t GetDataTypeSize(DataType dt)
{
if (dt == DT_FLOAT)
return 4;
if (dt == DT_FLOAT16)
return 2;
if (dt == DT_BF16)
return 2;
if (dt == DT_BOOL)
return 1;
return 4;
}
int32_t GenOnesDataFloat32(vector<int64_t> shapes, Tensor& tensor, TensorDesc& desc, float value)
{
desc.SetRealDimCnt(shapes.size());
size_t size = 1;
for (auto s : shapes)
size *= s;
uint32_t data_len = size * 4;
float* p = new float[size];
for (size_t i = 0; i < size; ++i)
p[i] = value + (i % 3) * 0.4f;
tensor = Tensor(desc, (uint8_t*)p, data_len);
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;
}
int CreateOppInGraph(DataType inDtype, vector<Tensor>& input, vector<Operator>& inputs, vector<Operator>& outputs,
Graph& graph)
{
Status ret = SUCCESS;
auto equal1 = op::Equal("equal1");
vector<int64_t> xShape = {4, 3};
ADD_INPUT(1, x1, inDtype, xShape);
ADD_INPUT(2, x2, inDtype, xShape);
{
Tensor& tx2 = input.back();
float* p = reinterpret_cast<float*>(tx2.GetData());
int64_t total = xShape[0] * xShape[1];
for (int i = 0; i < 3 && i < total; i++) {
p[i] += 1.0f;
}
}
ADD_OUTPUT(1, y, DT_BOOL, xShape);
outputs.push_back(equal1);
return SUCCESS;
}
int main(int argc, char* argv[])
{
const char* graph_name = "tc_ge_irrun_test";
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 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{};
if (argc > 1) {
std::cout << argv[1] << std::endl;
}
DataType inDtype = DT_FLOAT;
std::cout << inDtype << std::endl;
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);
printf("%s - INFO - [XIR]: Session add ir compute graph to ir session success\n", GetTime().c_str());
printf("%s - INFO - [XIR]: dump graph to txt\n", GetTime().c_str());
std::string file_path = "./dump";
aclgrphDumpGraph(graph, file_path.c_str(), file_path.length());
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 - ERROR - [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 input_num = input.size();
for (int i = 0; i < input_num; i++) {
std::cout << "input " << i << " dtype : " << input[i].GetTensorDesc().GetDataType() << std::endl;
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();
std::cout << "this is " << i << "th input, input shape size = " << input_shape << std::endl;
uint32_t data_size = input_shape * GetDataTypeSize(input[i].GetTensorDesc().GetDataType());
WriteDataToFile(input_file.c_str(), data_size, input_data_i);
}
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_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();
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(output_file.c_str(), data_size, output_data_i);
for (int64_t j = 0; j < output_shape; j++) {
printf("result[%ld] = %d\n", j, output_data_i[j]);
}
}
ge::AscendString error_msg = ge::GEGetErrorMsgV2();
std::cout << "Error message: " << error_msg.GetString() << std::endl;
ge::AscendString warning_msg = ge::GEGetWarningMsgV2();
std::cout << "Warning message: " << warning_msg.GetString() << std::endl;
printf("%s - INFO - [XIR]: Start to finalize ir graph session\n", GetTime().c_str());
ret = ge::GEFinalize();
if (ret != SUCCESS) {
printf("%s - ERROR - [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;
}
