#include <iostream>
#include <vector>
#include <getopt.h>
#include <unistd.h>
#include <dirent.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#include <sys/wait.h>
#include <dlfcn.h>
#include <cstdio>
#include <string>
#include <iomanip>
#include <string.h>
#include <list>
#include <algorithm>
#include <stdarg.h>
#include "acl/acl.h"
#include "aclnn/aclnn_base.h"
#include "acl/acl_base.h"
#include "acl/acl_rt.h"
#include "sec_common.h"
#include "utils.h"
#include "../fuzzlib/secodeFuzz.h"
#include "aclnnop/aclnn_attention_update.h"
using namespace std;
static std::string ShapeToStr(const std::vector<int64_t>& s) {
std::string r = "[";
for (size_t k = 0; k < s.size(); k++) {
if (k) r += ",";
r += std::to_string(s[k]);
}
return r + "]";
}
int aclnnAttentionUpdate_Normal(int fuzz_num)
{
auto ret = Init(deviceId, &context, &stream);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("Init acl failed. ERROR: %d\n", ret); return ret);
WriteDTLog("aclnnAttentionUpdate", "aclnnAttentionUpdate op fuzz start \n");
const long long kSingleInputSizeMax = 1073741824LL;
const long long kTotalInputSizeMax = 2147483648LL;
int dtype0Enum[] = { 0 };
int dtype0Num = sizeof(dtype0Enum) / sizeof(dtype0Enum[0]);
int dtype1Enum[] = { 0, 1, 27 };
int dtype1Num = sizeof(dtype1Enum) / sizeof(dtype1Enum[0]);
aclrtSetOpExecuteTimeOut(1091);
DT_Set_TimeOut_Second(3000);
DT_FUZZ_START(0, fuzz_num, "aclnnAttentionUpdate", 0)
{
int i = 0;
int shapeDimMax = 16;
int aclnnRet = -1;
void* lseDeviceAddr = nullptr;
aclTensor* lse = nullptr;
void* localOutDeviceAddr = nullptr;
aclTensor* localOut = nullptr;
void* outDeviceAddr = nullptr;
aclTensor* out = nullptr;
void* lseOutDeviceAddr = nullptr;
aclTensor* lseOut = nullptr;
uint64_t workspaceSize = 0;
aclOpExecutor* executor;
void* workspaceAddr = nullptr;
LOG_PRINT("aclnnAttentionUpdate_Normal %d\n", fuzzi);
printf("[FUZZ_LOG] plog_file: aclnnAttentionUpdate_fuzz_plog_case_%d.log\n", fuzzi);
aclnnRet = -1;
try
{
int sizeBucket = *(int *)DTSetGetNumberRange(&g_Element[i++], 1, 0, 3, "i");
int dim_num0 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 0, 8, "i");
{
const long long sizeTargets[4] = {1000LL, 1048576LL, 16777216LL, 134217728LL};
int nTensors = 4;
long long target = sizeTargets[sizeBucket] / nTensors;
if (target < 1) { target = 1; }
int nd = (dim_num0 > 0) ? dim_num0 : 1;
long long perDim = (long long)pow((double)target, 1.0 / nd);
if (perDim < 1) { perDim = 1; }
if (perDim > MAX_SHAPE_SIZE) { perDim = MAX_SHAPE_SIZE; }
shapeDimMax = (int)perDim;
}
int shape1 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
int shape2 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
int shape3 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
int shape4 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
int shape5 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
int shape6 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
int shape7 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
int shape8 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 1, shapeDimMax, "i");
auto dtype0 = (aclDataType)*(int *)DT_SetGetNumberEnumV3(i++, aclDataType::ACL_FLOAT, dtype0Enum, dtype0Num);
auto dtype1 = (aclDataType)*(int *)DT_SetGetNumberEnumV3(i++, aclDataType::ACL_FLOAT, dtype1Enum, dtype1Num);
int64_t updateType = *(int64_t *)DTSetGetNumberRangeS64(&g_Element[i++], 1, -100, 100, "i");
aclDataType lseDtype = dtype0;
aclDataType outDtype = dtype0;
aclDataType lseOutDtype = dtype0;
aclDataType localOutDtype = dtype1;
int dim_num1 = *(int *)DTSetGetNumberRange(&g_Element[i++], 2, 0, 8, "i");
std::vector<int64_t> lseShape;
std::vector<int64_t> localOutShape;
std::vector<int64_t> outShape;
std::vector<int64_t> lseOutShape;
if (dim_num0 == 1) {
lseShape = {shape1};
} else if (dim_num0 == 2) {
lseShape = {shape1, shape2};
} else if (dim_num0 == 3) {
lseShape = {shape1, shape2, shape3};
} else if (dim_num0 == 4) {
lseShape = {shape1, shape2, shape3, shape4};
} else if (dim_num0 == 5) {
lseShape = {shape1, shape2, shape3, shape4, shape5};
} else if (dim_num0 == 6) {
lseShape = {shape1, shape2, shape3, shape4, shape5, shape6};
} else if (dim_num0 == 7) {
lseShape = {shape1, shape2, shape3, shape4, shape5, shape6, shape7};
} else if (dim_num0 == 8) {
lseShape = {shape1, shape2, shape3, shape4, shape5, shape6, shape7, shape8};
}
if (dim_num1 == 1) {
localOutShape = {shape1};
} else if (dim_num1 == 2) {
localOutShape = {shape1, shape2};
} else if (dim_num1 == 3) {
localOutShape = {shape1, shape2, shape3};
} else if (dim_num1 == 4) {
localOutShape = {shape1, shape2, shape3, shape4};
} else if (dim_num1 == 5) {
localOutShape = {shape1, shape2, shape3, shape4, shape5};
} else if (dim_num1 == 6) {
localOutShape = {shape1, shape2, shape3, shape4, shape5, shape6};
} else if (dim_num1 == 7) {
localOutShape = {shape1, shape2, shape3, shape4, shape5, shape6, shape7};
} else if (dim_num1 == 8) {
localOutShape = {shape1, shape2, shape3, shape4, shape5, shape6, shape7, shape8};
}
outShape = lseShape;
lseOutShape = lseShape;
{
int caseIdx = fuzzi % 1;
int modeIdx = -1;
switch (caseIdx) {
case 0: {
printf("[FUZZ_TILING] case_%d: tiling_id=TK001, shape_mode=constraint, dtype=\n", fuzzi);
break; (void)modeIdx;
}
default: break;
}
}
long long shape_size = GetShapeSize(lseShape);
if (shape_size > kSingleInputSizeMax) { printf("shape_size too big\n"); goto ERROR; }
std::vector<float> lseHostData(GetShapeSize(lseShape), 1);
ret = CreateAclTensor_New(lseHostData, lseShape, &lseDeviceAddr, lseDtype, aclFormat::ACL_FORMAT_ND, &lse);
CHECK_RET(ret == ACL_SUCCESS, goto ERROR);
std::vector<float> outHostData(GetShapeSize(outShape), 1);
ret = CreateAclTensor_New(outHostData, outShape, &outDeviceAddr, outDtype, aclFormat::ACL_FORMAT_ND, &out);
CHECK_RET(ret == ACL_SUCCESS, goto ERROR);
std::vector<float> lseOutHostData(GetShapeSize(lseOutShape), 1);
ret = CreateAclTensor_New(lseOutHostData, lseOutShape, &lseOutDeviceAddr, lseOutDtype, aclFormat::ACL_FORMAT_ND, &lseOut);
CHECK_RET(ret == ACL_SUCCESS, goto ERROR);
if (localOutDtype == aclDataType::ACL_FLOAT) {
std::vector<float> localOutHostData(GetShapeSize(localOutShape), 1);
ret = CreateAclTensor_New(localOutHostData, localOutShape, &localOutDeviceAddr, localOutDtype, aclFormat::ACL_FORMAT_ND, &localOut);
CHECK_RET(ret == ACL_SUCCESS, goto ERROR);
} else if (localOutDtype == aclDataType::ACL_FLOAT16) {
std::vector<int16_t> localOutHostData(GetShapeSize(localOutShape), 1);
ret = CreateAclTensor_New(localOutHostData, localOutShape, &localOutDeviceAddr, localOutDtype, aclFormat::ACL_FORMAT_ND, &localOut);
CHECK_RET(ret == ACL_SUCCESS, goto ERROR);
} else if (localOutDtype == aclDataType::ACL_BF16) {
std::vector<int16_t> localOutHostData(GetShapeSize(localOutShape), 1);
ret = CreateAclTensor_New(localOutHostData, localOutShape, &localOutDeviceAddr, localOutDtype, aclFormat::ACL_FORMAT_ND, &localOut);
CHECK_RET(ret == ACL_SUCCESS, goto ERROR);
}
ret = aclnnAttentionUpdateGetWorkspaceSize(lse, localOut, updateType, out, lseOut, &workspaceSize, &executor);
printf("[FUZZ_PARAM] lse: dtype=%d, shape=%s; localOut: dtype=%d, shape=%s; out: dtype=%d, shape=%s; lseOut: dtype=%d, shape=%s; updateType=%lld\n", (int)dtype0, ShapeToStr(lseShape).c_str(), (int)dtype1, ShapeToStr(localOutShape).c_str(), (int)dtype0, ShapeToStr(outShape).c_str(), (int)dtype0, ShapeToStr(lseOutShape).c_str(), (long long)updateType);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclnnAttentionUpdateGetWorkspaceSize failed. ERROR: %d\n", ret); goto ERROR);
if (workspaceSize > 0) {
ret = aclrtMalloc(&workspaceAddr, workspaceSize, ACL_MEM_MALLOC_HUGE_FIRST);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("allocate workspace failed. ERROR: %d\n", ret); goto ERROR);
}
ret = aclnnAttentionUpdate(workspaceAddr, workspaceSize, executor, stream);
aclnnRet = (int)ret;
if (ret == ACL_SUCCESS) { printf("aclnnAttentionUpdate execute success :%d\n", (int)ret); }
else { printf("aclnnAttentionUpdate execute failed :%d\n", (int)ret); goto ERROR; }
ret = aclrtSynchronizeStream(stream);
CHECK_RET(ret == ACL_SUCCESS, LOG_PRINT("aclrtSynchronizeStream failed. ERROR: %d\n", ret); goto ERROR);
LOG_PRINT("aclnnAttentionUpdate execute success : %d\n", ret);
}
catch (std::exception& e)
{
printf("catch exception %s\n", e.what());
}
ERROR:
ret = aclrtSynchronizeStream(stream);
if (aclnnRet == -1) { printf("[FUZZ_RESULT] case_%d: skip, ret=-1\n", fuzzi); }
else { printf("[FUZZ_RESULT] case_%d: %s, ret=%d\n", fuzzi, (aclnnRet == 0) ? "success" : "faild", aclnnRet); }
printf("end \n");
CheckAndLog(ret);
pid_t pid = getpid();
std::string cmd = "grep -rin 'aicore error' /root/ascend/log/debug/plog/ ";
printf("system return value %d\n", CheckResult(pid));
if (lse) { aclDestroyTensor(lse); }
if (localOut) { aclDestroyTensor(localOut); }
if (out) { aclDestroyTensor(out); }
if (lseOut) { aclDestroyTensor(lseOut); }
if (lseDeviceAddr) { aclrtFree(lseDeviceAddr); }
if (localOutDeviceAddr) { aclrtFree(localOutDeviceAddr); }
if (outDeviceAddr) { aclrtFree(outDeviceAddr); }
if (lseOutDeviceAddr) { aclrtFree(lseOutDeviceAddr); }
if (workspaceSize > 0 && workspaceAddr) { aclrtFree(workspaceAddr); }
}
DT_FUZZ_END()
WriteDTLog("aclnnAttentionUpdate", "aclnnAttentionUpdate op fuzz total number:%u, para error number %u, execute error number %u \n", fuzz_num, aclnn_INVALID_Para, aclnn_Inner_Error + Runtime_Error);
WriteDTLog("aclnnAttentionUpdate", "aclnnAttentionUpdate op fuzz end \n");
aclrtDestroyStream(stream);
aclrtDestroyContext(context);
aclrtResetDevice(deviceId);
aclFinalize();
return 0;
}
extern "C" int aclnnAttentionUpdate_fuzz(int argc, char *argv[]);
int aclnnAttentionUpdate_fuzz(int argc, char *argv[])
{
int fuzz_num = MAXFUZZNUMBER;
if (argc < 1) {
cout << "[ERROR] input arg num must be bigger than 1 \n" << endl;
return -1;
} else if (argc > 1) {
fuzz_num = atoi(argv[2]);
}
if (argc == 4) { deviceId = atoi(argv[3]); }
printf("fuzz_num %d \n", fuzz_num);
printf("aclnnAttentionUpdate_Normal :%d \n", aclnnAttentionUpdate_Normal(fuzz_num));
return 0;
}