@@ -108,6 +108,7 @@ set(TRAIN_SRC_LIST | |||
"common/helper/model_cache_helper.cc" | |||
"common/profiling/profiling_manager.cc" | |||
"common/dump/dump_manager.cc" | |||
"common/dump/exception_dumper.cc" | |||
"common/dump/dump_properties.cc" | |||
"common/dump/opdebug_register.cc" | |||
"common/dump/dump_op.cc" | |||
@@ -437,6 +438,7 @@ set(INFER_SRC_LIST | |||
"common/formats/formats.cc" | |||
"common/profiling/profiling_manager.cc" | |||
"common/dump/dump_properties.cc" | |||
"common/dump/exception_dumper.cc" | |||
"common/dump/dump_manager.cc" | |||
"common/dump/dump_op.cc" | |||
"common/dump/opdebug_register.cc" | |||
@@ -161,7 +161,7 @@ int MemoryDumper::OpenFile(const char *filename) { | |||
// Using the O_EXCL, if the file already exists,return failed to avoid privilege escalation vulnerability. | |||
mmMode_t mode = M_IRUSR | M_IWUSR; | |||
int32_t fd = mmOpen2(real_path.c_str(), M_RDWR | M_CREAT | O_TRUNC, mode); | |||
int32_t fd = mmOpen2(real_path.c_str(), M_RDWR | M_CREAT | M_APPEND, mode); | |||
if (fd == EN_ERROR || fd == EN_INVALID_PARAM) { | |||
GELOGE(kInvalidFd, "[Open][File]Failed. errno = %d, error:%s, filename:%s.", | |||
fd, strerror(errno), filename); | |||
@@ -0,0 +1,241 @@ | |||
/** | |||
* Copyright 2019-2021 Huawei Technologies Co., Ltd | |||
* | |||
* Licensed under the Apache License, Version 2.0 (the "License"); | |||
* you may not use this file except in compliance with the License. | |||
* You may obtain a copy of the License at | |||
* | |||
* http://www.apache.org/licenses/LICENSE-2.0 | |||
* | |||
* Unless required by applicable law or agreed to in writing, software | |||
* distributed under the License is distributed on an "AS IS" BASIS, | |||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
* See the License for the specific language governing permissions and | |||
* limitations under the License. | |||
*/ | |||
#include "common/dump/exception_dumper.h" | |||
#include "common/ge/datatype_util.h" | |||
#include "common/debug/memory_dumper.h" | |||
#include "framework/common/debug/log.h" | |||
#include "graph/manager/util/debug.h" | |||
#include "graph/utils/tensor_utils.h" | |||
#include "graph/load/model_manager/model_utils.h" | |||
#include "proto/dump_task.pb.h" | |||
namespace { | |||
static uint64_t GetNowTime() { | |||
uint64_t ret = 0; | |||
mmTimeval tv; | |||
if (mmGetTimeOfDay(&tv, nullptr) == 0) { | |||
ret = tv.tv_sec * 1000000ULL + tv.tv_usec; | |||
} | |||
return ret; | |||
} | |||
static void ReplaceStringElem(std::string &str) { | |||
for_each(str.begin(), str.end(), [](char &ch) { | |||
if ((ch == ' ') || (ch == '.') || (ch == '/') || (ch == '\\')) { | |||
ch = '_'; | |||
} | |||
}); | |||
} | |||
static void SetDumpData(const ge::OpDescInfo &op_desc_info, toolkit::dumpdata::DumpData &dump_data) { | |||
dump_data.set_version("2.0"); | |||
dump_data.set_dump_time(GetNowTime()); | |||
dump_data.set_op_name(op_desc_info.op_name); | |||
for (size_t i = 0; i < op_desc_info.input_format.size(); ++i) { | |||
toolkit::dumpdata::OpInput input; | |||
input.set_data_type(toolkit::dumpdata::OutputDataType( | |||
ge::DataTypeUtil::GetIrDataType(op_desc_info.input_data_type[i]))); | |||
input.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.input_format[i])); | |||
for (auto dim : op_desc_info.input_shape[i]) { | |||
input.mutable_shape()->add_dim(dim); | |||
} | |||
input.set_size(op_desc_info.input_size[i]); | |||
GELOGI("[Set][DumpData] The input size int exception is %ld", op_desc_info.input_size[i]); | |||
dump_data.mutable_input()->Add(std::move(input)); | |||
} | |||
for (size_t j = 0; j < op_desc_info.output_format.size(); ++j) { | |||
toolkit::dumpdata::OpOutput output; | |||
output.set_data_type(toolkit::dumpdata::OutputDataType( | |||
ge::DataTypeUtil::GetIrDataType(op_desc_info.output_data_type[j]))); | |||
output.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.output_format[j])); | |||
for (auto dim : op_desc_info.output_shape[j]) { | |||
output.mutable_shape()->add_dim(dim); | |||
} | |||
output.set_size(op_desc_info.output_size[j]); | |||
GELOGI("[Set][DumpData] The output size int exception is %ld", op_desc_info.output_size[j]); | |||
dump_data.mutable_output()->Add(std::move(output)); | |||
} | |||
} | |||
} // namespace | |||
namespace ge { | |||
ExceptionDumper::~ExceptionDumper() {} | |||
void ExceptionDumper::SaveDumpOpInfo(const OpDescPtr &op, uint32_t task_id, uint32_t stream_id, | |||
vector<void *> &input_addrs, vector<void *> &output_addrs) { | |||
OpDescInfo op_desc_info; | |||
SaveOpDescInfo(op, task_id, stream_id, op_desc_info); | |||
op_desc_info.input_addrs = input_addrs; | |||
op_desc_info.output_addrs = output_addrs; | |||
op_desc_info_.emplace_back(std::move(op_desc_info)); | |||
} | |||
void ExceptionDumper::SaveDumpOpInfo(const RuntimeParam &model_param, const OpDescPtr &op, | |||
uint32_t task_id, uint32_t stream_id) { | |||
OpDescInfo op_desc_info; | |||
SaveOpDescInfo(op, task_id, stream_id, op_desc_info); | |||
op_desc_info.input_addrs = ModelUtils::GetInputDataAddrs(model_param, op); | |||
op_desc_info.output_addrs = ModelUtils::GetOutputDataAddrs(model_param, op); | |||
op_desc_info_.emplace_back(std::move(op_desc_info)); | |||
} | |||
void ExceptionDumper::SaveOpDescInfo(const OpDescPtr &op, uint32_t task_id, uint32_t stream_id, | |||
OpDescInfo &op_desc_info) { | |||
if (op == nullptr) { | |||
GELOGW("[Save][OpExceptionInfo] op desc ptr is null."); | |||
return; | |||
} | |||
GELOGD("[Save][OpExceptionInfo] Start to save dump op [%s] info of task_id: %u, stream_id: %u", | |||
op->GetName().c_str(), task_id, stream_id); | |||
op_desc_info.op_name = op->GetName(); | |||
op_desc_info.op_type = op->GetType(); | |||
op_desc_info.task_id = task_id; | |||
op_desc_info.stream_id = stream_id; | |||
for (size_t i = 0; i < op->GetAllInputsSize(); ++i) { | |||
GeTensorDescPtr input_tensor_desc = op->MutableInputDesc(i); | |||
if (input_tensor_desc == nullptr) { | |||
continue; | |||
} | |||
op_desc_info.input_format.emplace_back(input_tensor_desc->GetFormat()); | |||
op_desc_info.input_shape.emplace_back(input_tensor_desc->GetShape().GetDims()); | |||
op_desc_info.input_data_type.emplace_back(input_tensor_desc->GetDataType()); | |||
int64_t input_size = 0; | |||
if (TensorUtils::GetTensorSizeInBytes(*input_tensor_desc, input_size) != SUCCESS) { | |||
GELOGW("[Save][OpExceptionInfo] Op [%s] get input size failed.", op->GetName().c_str()); | |||
return; | |||
} | |||
GELOGD("[Save][OpExceptionInfo] Save dump op info, the input size is %ld", input_size); | |||
op_desc_info.input_size.emplace_back(input_size); | |||
} | |||
for (size_t j = 0; j < op->GetOutputsSize(); ++j) { | |||
GeTensorDescPtr output_tensor_desc = op->MutableOutputDesc(j); | |||
if (output_tensor_desc == nullptr) { | |||
continue; | |||
} | |||
op_desc_info.output_format.emplace_back(output_tensor_desc->GetFormat()); | |||
op_desc_info.output_shape.emplace_back(output_tensor_desc->GetShape().GetDims()); | |||
op_desc_info.output_data_type.emplace_back(output_tensor_desc->GetDataType()); | |||
int64_t output_size = 0; | |||
if (TensorUtils::GetTensorSizeInBytes(*output_tensor_desc, output_size) != SUCCESS) { | |||
GELOGW("[Save][OpExceptionInfo] Op [%s] get output size failed.", op->GetName().c_str()); | |||
return; | |||
} | |||
GELOGD("[Save][OpExceptionInfo] Save dump op info, the output size is %ld.", output_size); | |||
op_desc_info.output_size.emplace_back(output_size); | |||
} | |||
} | |||
Status ExceptionDumper::DumpExceptionInfo(const std::vector<rtExceptionInfo> &exception_infos) const { | |||
GELOGI("[Dump][Exception] Start to dump exception info"); | |||
for (const rtExceptionInfo &iter : exception_infos) { | |||
OpDescInfo op_desc_info; | |||
if (GetOpDescInfo(iter.streamid, iter.taskid, op_desc_info)) { | |||
toolkit::dumpdata::DumpData dump_data; | |||
SetDumpData(op_desc_info, dump_data); | |||
uint64_t now_time = GetNowTime(); | |||
std::string op_name = op_desc_info.op_name; | |||
std::string op_type = op_desc_info.op_type; | |||
ReplaceStringElem(op_name); | |||
ReplaceStringElem(op_type); | |||
string dump_file_path = | |||
"./" + op_type + "." + op_name + "." + std::to_string(op_desc_info.task_id) + "." + std::to_string(now_time); | |||
GELOGI("[Dump][Exception] The exception dump file path is %s", dump_file_path.c_str()); | |||
uint64_t proto_size = dump_data.ByteSizeLong(); | |||
std::unique_ptr<char[]> proto_msg(new (std::nothrow) char[proto_size]); | |||
bool ret = dump_data.SerializeToArray(proto_msg.get(), proto_size); | |||
if (!ret || proto_size == 0) { | |||
REPORT_INNER_ERROR("E19999", "Serialize proto to string fail"); | |||
GELOGE(PARAM_INVALID, "[Dump][Exception] Dump data proto serialize failed"); | |||
return PARAM_INVALID; | |||
} | |||
GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), &proto_size, sizeof(uint64_t)), | |||
"Failed to dump proto size"); | |||
GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), proto_msg.get(), proto_size), | |||
"Failed to dump proto msg"); | |||
if (DumpExceptionInput(op_desc_info, dump_file_path) != SUCCESS) { | |||
GELOGE(PARAM_INVALID, "[Dump][Exception] Dump exception input failed"); | |||
return PARAM_INVALID; | |||
} | |||
if (DumpExceptionOutput(op_desc_info, dump_file_path) != SUCCESS) { | |||
GELOGE(PARAM_INVALID, "[Dump][Exception] Dump exception output failed"); | |||
return PARAM_INVALID; | |||
} | |||
GELOGI("[Dump][Exception] Dump exception info SUCCESS"); | |||
} else { | |||
GELOGE(PARAM_INVALID, "[Dump][Exception] Get op desc info failed,task id:%u,stream id:%u", | |||
iter.taskid, iter.streamid); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
bool ExceptionDumper::GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const { | |||
GELOGI("[Get][OpDescInfo] There are %zu op need to dump.", op_desc_info_.size()); | |||
for (size_t index = 0; index < op_desc_info_.size(); ++index) { | |||
OpDescInfo dump_op_info = op_desc_info_.at(index); | |||
if (dump_op_info.task_id == task_id && dump_op_info.stream_id == stream_id) { | |||
GELOGI("[Get][OpDescInfo] Find exception op [%s] of task_id: %u, stream_id: %u.", | |||
dump_op_info.op_name.c_str(), task_id, stream_id); | |||
op_desc_info = dump_op_info; | |||
return true; | |||
} | |||
} | |||
return false; | |||
} | |||
Status ExceptionDumper::DumpExceptionInput(const OpDescInfo &op_desc_info, const string &dump_file) const { | |||
GELOGI("[Dump][ExceptionInput] Start to dump exception input"); | |||
for (size_t i = 0; i < op_desc_info.input_addrs.size(); i++) { | |||
if (Debug::DumpDevMem(dump_file.data(), op_desc_info.input_addrs.at(i), op_desc_info.input_size.at(i)) != SUCCESS) { | |||
GELOGE(PARAM_INVALID, "[Dump][ExceptionInput] Dump the %zu input data of op [%s] failed", | |||
i, op_desc_info.op_name.c_str()); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
Status ExceptionDumper::DumpExceptionOutput(const OpDescInfo &op_desc_info, const string &dump_file) const { | |||
GELOGI("[Dump][ExceptionOutput] Start to dump exception output"); | |||
for (size_t i = 0; i < op_desc_info.output_addrs.size(); i++) { | |||
if (Debug::DumpDevMem(dump_file.data(), op_desc_info.output_addrs.at(i), op_desc_info.output_size.at(i)) != | |||
SUCCESS) { | |||
GELOGE(PARAM_INVALID, "[Dump][ExceptionInput] Dump the %zu input data of op [%s] failed", | |||
i, op_desc_info.op_name.c_str()); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
OpDescInfo *ExceptionDumper::MutableOpDescInfo(uint32_t task_id, uint32_t stream_id) { | |||
for (OpDescInfo &op_desc_info : op_desc_info_) { | |||
if (op_desc_info.task_id == task_id && op_desc_info.stream_id == stream_id) { | |||
return &op_desc_info; | |||
} | |||
} | |||
return nullptr; | |||
} | |||
} // namespace ge |
@@ -0,0 +1,48 @@ | |||
/** | |||
* Copyright 2019-2021 Huawei Technologies Co., Ltd | |||
* | |||
* Licensed under the Apache License, Version 2.0 (the "License"); | |||
* you may not use this file except in compliance with the License. | |||
* You may obtain a copy of the License at | |||
* | |||
* http://www.apache.org/licenses/LICENSE-2.0 | |||
* | |||
* Unless required by applicable law or agreed to in writing, software | |||
* distributed under the License is distributed on an "AS IS" BASIS, | |||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
* See the License for the specific language governing permissions and | |||
* limitations under the License. | |||
*/ | |||
#ifndef GE_COMMON_DUMP_EXCEPTION_DUMPER_H_ | |||
#define GE_COMMON_DUMP_EXCEPTION_DUMPER_H_ | |||
#include <vector> | |||
#include "graph/op_desc.h" | |||
#include "framework/common/ge_types.h" | |||
#include "graph/load/model_manager/task_info/task_info.h" | |||
namespace ge { | |||
class ExceptionDumper { | |||
public: | |||
ExceptionDumper() = default; | |||
~ExceptionDumper(); | |||
void SaveDumpOpInfo(const OpDescPtr &op, uint32_t task_id, uint32_t stream_id, | |||
std::vector<void *> &input_addrs, std::vector<void *> &output_addrs); | |||
void SaveDumpOpInfo(const RuntimeParam &model_param, const OpDescPtr &op, uint32_t task_id, uint32_t stream_id); | |||
Status DumpExceptionInfo(const std::vector<rtExceptionInfo> &exception_infos) const; | |||
bool GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const; | |||
OpDescInfo *MutableOpDescInfo(uint32_t task_id, uint32_t stream_id); | |||
private: | |||
void SaveOpDescInfo(const OpDescPtr &op, uint32_t task_id, uint32_t stream_id, OpDescInfo &op_desc_info); | |||
Status DumpExceptionInput(const OpDescInfo &op_desc_info, const std::string &dump_file) const; | |||
Status DumpExceptionOutput(const OpDescInfo &op_desc_info, const std::string &dump_file) const; | |||
std::vector<OpDescInfo> op_desc_info_; | |||
}; | |||
} // namespace ge | |||
#endif // GE_COMMON_DUMP_EXCEPTION_DUMPER_H_ |
@@ -16,6 +16,7 @@ set(SRC_LIST | |||
"../common/ge/plugin_manager.cc" | |||
"../common/ge/op_tiling_manager.cc" | |||
"../common/dump/dump_properties.cc" | |||
"../common/dump/exception_dumper.cc" | |||
"../common/dump/dump_manager.cc" | |||
"../common/dump/dump_op.cc" | |||
"../common/dump/opdebug_register.cc" | |||
@@ -72,24 +72,6 @@ static bool ParseNameIndex(const std::string &node_name_index, std::string &node | |||
static bool IsTensorDescWithSkipDumpAddrType(bool has_mem_type_attr, vector<int64_t> v_memory_type, size_t i) { | |||
return has_mem_type_attr && (v_memory_type[i] == RT_MEMORY_L1); | |||
} | |||
static uint64_t GetNowTime() { | |||
uint64_t ret = 0; | |||
mmTimeval tv; | |||
if (mmGetTimeOfDay(&tv, nullptr) == 0) { | |||
ret = tv.tv_sec * 1000000ULL + tv.tv_usec; | |||
} | |||
return ret; | |||
} | |||
static void ReplaceStringElem(std::string &str) { | |||
for_each(str.begin(), str.end(), [](char &ch) { | |||
if ((ch == ' ') || (ch == '.') || (ch == '/') || (ch == '\\')) { | |||
ch = '_'; | |||
} | |||
}); | |||
} | |||
} // namespace | |||
static int32_t GetIrDataType(ge::DataType data_type) { | |||
@@ -194,66 +176,6 @@ void DataDumper::SaveOpDebugId(uint32_t task_id, uint32_t stream_id, void *op_de | |||
is_op_debug_ = is_op_debug; | |||
} | |||
void DataDumper::SaveDumpOpInfo(const RuntimeParam &model_param, const OpDescPtr &op, uint32_t task_id, | |||
uint32_t stream_id) { | |||
GELOGD("Start SaveDumpOpInfo of task_id: %u, stream_id: %u", task_id, stream_id); | |||
OpDescInfo op_desc_info; | |||
op_desc_info.op_name = op->GetName(); | |||
op_desc_info.op_type = op->GetType(); | |||
op_desc_info.task_id = task_id; | |||
op_desc_info.stream_id = stream_id; | |||
for (size_t i = 0; i < op->GetAllInputsSize(); ++i) { | |||
GeTensorDescPtr input_tensor_desc = op->MutableInputDesc(i); | |||
if (input_tensor_desc == nullptr) { | |||
continue; | |||
} | |||
op_desc_info.input_format.emplace_back(input_tensor_desc->GetFormat()); | |||
op_desc_info.input_shape.emplace_back(input_tensor_desc->GetShape().GetDims()); | |||
op_desc_info.input_data_type.emplace_back(input_tensor_desc->GetDataType()); | |||
int64_t input_size = 0; | |||
if (TensorUtils::GetTensorSizeInBytes(*input_tensor_desc, input_size) != SUCCESS) { | |||
GELOGW("Get input size failed"); | |||
return; | |||
} | |||
GELOGD("Save dump op info, the input size is %ld", input_size); | |||
op_desc_info.input_size.emplace_back(input_size); | |||
} | |||
for (size_t j = 0; j < op->GetOutputsSize(); ++j) { | |||
GeTensorDescPtr output_tensor_desc = op->MutableOutputDesc(j); | |||
if (output_tensor_desc == nullptr) { | |||
continue; | |||
} | |||
op_desc_info.output_format.emplace_back(output_tensor_desc->GetFormat()); | |||
op_desc_info.output_shape.emplace_back(output_tensor_desc->GetShape().GetDims()); | |||
op_desc_info.output_data_type.emplace_back(output_tensor_desc->GetDataType()); | |||
int64_t output_size = 0; | |||
if (TensorUtils::GetTensorSizeInBytes(*output_tensor_desc, output_size) != SUCCESS) { | |||
GELOGW("Get input size failed"); | |||
return; | |||
} | |||
GELOGD("Save dump op info, the output size is %ld", output_size); | |||
op_desc_info.output_size.emplace_back(output_size); | |||
} | |||
op_desc_info.input_addrs = ModelUtils::GetInputDataAddrs(model_param, op); | |||
op_desc_info.output_addrs = ModelUtils::GetOutputDataAddrs(model_param, op); | |||
op_desc_info_.emplace_back(op_desc_info); | |||
} | |||
bool DataDumper::GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const { | |||
GELOGI("There are %zu op need to dump.", op_desc_info_.size()); | |||
for (size_t index = 0; index < op_desc_info_.size(); ++index) { | |||
OpDescInfo dump_op_info = op_desc_info_.at(index); | |||
if (dump_op_info.task_id == task_id && dump_op_info.stream_id == stream_id) { | |||
GELOGI("find exception op of task_id: %u, stream_id: %u.", task_id, stream_id); | |||
op_desc_info = dump_op_info; | |||
return true; | |||
} | |||
} | |||
return false; | |||
} | |||
void DataDumper::SaveDumpTask(uint32_t task_id, uint32_t stream_id, const std::shared_ptr<OpDesc> &op_desc, | |||
uintptr_t args) { | |||
if (op_desc == nullptr) { | |||
@@ -904,98 +826,4 @@ void DataDumper::PrintCheckLog(string &dump_list_key) { | |||
} | |||
} | |||
} | |||
Status DataDumper::DumpExceptionInput(const OpDescInfo &op_desc_info, const string &dump_file) { | |||
GELOGI("Start to dump exception input"); | |||
for (size_t i = 0; i < op_desc_info.input_addrs.size(); i++) { | |||
if (Debug::DumpDevMem(dump_file.data(), op_desc_info.input_addrs.at(i), op_desc_info.input_size.at(i)) != SUCCESS) { | |||
GELOGE(PARAM_INVALID, "Dump the %zu input data failed", i); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
Status DataDumper::DumpExceptionOutput(const OpDescInfo &op_desc_info, const string &dump_file) { | |||
GELOGI("Start to dump exception output"); | |||
for (size_t i = 0; i < op_desc_info.output_addrs.size(); i++) { | |||
if (Debug::DumpDevMem(dump_file.data(), op_desc_info.output_addrs.at(i), op_desc_info.output_size.at(i)) != | |||
SUCCESS) { | |||
GELOGE(PARAM_INVALID, "Dump the %zu input data failed", i); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
Status DataDumper::DumpExceptionInfo(const std::vector<rtExceptionInfo> exception_infos) { | |||
GELOGI("Start to dump exception info"); | |||
for (const rtExceptionInfo &iter : exception_infos) { | |||
OpDescInfo op_desc_info; | |||
if (GetOpDescInfo(iter.streamid, iter.taskid, op_desc_info)) { | |||
toolkit::dumpdata::DumpData dump_data; | |||
dump_data.set_version("2.0"); | |||
dump_data.set_dump_time(GetNowTime()); | |||
dump_data.set_op_name(op_desc_info.op_name); | |||
for (size_t i = 0; i < op_desc_info.input_format.size(); ++i) { | |||
toolkit::dumpdata::OpInput input; | |||
input.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.input_data_type[i]))); | |||
input.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.input_format[i])); | |||
for (auto dim : op_desc_info.input_shape[i]) { | |||
input.mutable_shape()->add_dim(dim); | |||
} | |||
input.set_size(op_desc_info.input_size[i]); | |||
GELOGI("The input size int exception is %ld", op_desc_info.input_size[i]); | |||
dump_data.mutable_input()->Add(std::move(input)); | |||
} | |||
for (size_t j = 0; j < op_desc_info.output_format.size(); ++j) { | |||
toolkit::dumpdata::OpOutput output; | |||
output.set_data_type(toolkit::dumpdata::OutputDataType(GetIrDataType(op_desc_info.output_data_type[j]))); | |||
output.set_format(toolkit::dumpdata::OutputFormat(op_desc_info.output_format[j])); | |||
for (auto dim : op_desc_info.output_shape[j]) { | |||
output.mutable_shape()->add_dim(dim); | |||
} | |||
output.set_size(op_desc_info.output_size[j]); | |||
GELOGI("The output size int exception is %ld", op_desc_info.output_size[j]); | |||
dump_data.mutable_output()->Add(std::move(output)); | |||
} | |||
uint64_t now_time = GetNowTime(); | |||
std::string op_name = op_desc_info.op_name; | |||
std::string op_type = op_desc_info.op_type; | |||
ReplaceStringElem(op_name); | |||
ReplaceStringElem(op_type); | |||
string dump_file_path = | |||
"./" + op_type + "." + op_name + "." + std::to_string(op_desc_info.task_id) + "." + std::to_string(now_time); | |||
GELOGI("The exception dump file path is %s", dump_file_path.c_str()); | |||
uint64_t proto_size = dump_data.ByteSizeLong(); | |||
std::unique_ptr<char[]> proto_msg(new (std::nothrow) char[proto_size]); | |||
bool ret = dump_data.SerializeToArray(proto_msg.get(), proto_size); | |||
if (!ret || proto_size == 0) { | |||
REPORT_INNER_ERROR("E19999", "Serialize proto to string fail"); | |||
GELOGE(PARAM_INVALID, "Dump data proto serialize failed"); | |||
return PARAM_INVALID; | |||
} | |||
GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), &proto_size, sizeof(uint64_t)), | |||
"Failed to dump proto size"); | |||
GE_CHK_STATUS_RET(MemoryDumper::DumpToFile(dump_file_path.c_str(), proto_msg.get(), proto_size), | |||
"Failed to dump proto msg"); | |||
if (DumpExceptionInput(op_desc_info, dump_file_path) != SUCCESS) { | |||
GELOGE(PARAM_INVALID, "Dump exception input failed"); | |||
return PARAM_INVALID; | |||
} | |||
if (DumpExceptionOutput(op_desc_info, dump_file_path) != SUCCESS) { | |||
GELOGE(PARAM_INVALID, "Dump exception output failed"); | |||
return PARAM_INVALID; | |||
} | |||
GELOGI("Dump exception info SUCCESS"); | |||
} else { | |||
GELOGE(PARAM_INVALID, "Get op desc info failed,task id:%u,stream id:%u", iter.taskid, iter.streamid); | |||
return PARAM_INVALID; | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
} // namespace ge |
@@ -70,8 +70,6 @@ class DataDumper { | |||
void SaveDumpInput(const std::shared_ptr<Node> &node); | |||
void SaveDumpOpInfo(const RuntimeParam &model_param, const OpDescPtr &op, uint32_t task_id, uint32_t stream_id); | |||
// args is device memory stored first output addr | |||
void SaveDumpTask(uint32_t task_id, uint32_t stream_id, const std::shared_ptr<OpDesc> &op_desc, uintptr_t args); | |||
void SaveEndGraphId(uint32_t task_id, uint32_t stream_id); | |||
@@ -87,14 +85,8 @@ class DataDumper { | |||
void SetDumpProperties(const DumpProperties &dump_properties) { dump_properties_ = dump_properties; } | |||
const DumpProperties &GetDumpProperties() const { return dump_properties_; } | |||
bool GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const; | |||
const std::vector<OpDescInfo> &GetAllOpDescInfo() const { return op_desc_info_; } | |||
// Dump exception info | |||
Status DumpExceptionInput(const OpDescInfo &op_desc_info, const string &dump_file); | |||
Status DumpExceptionOutput(const OpDescInfo &op_desc_info, const string &dump_file); | |||
Status DumpExceptionInfo(const std::vector<rtExceptionInfo> exception_infos); | |||
private: | |||
void ReleaseDevMem(void **ptr) noexcept; | |||
@@ -2656,9 +2656,9 @@ Status DavinciModel::ReturnResult(uint32_t data_id, const bool rslt_flg, const b | |||
GE_CHECK_NOTNULL(model_manager); | |||
auto exception_infos = model_manager->GetExceptionInfos(); | |||
if (exception_infos.size() > 0) { | |||
GE_CHK_STATUS_RET(data_dumper_.DumpExceptionInfo(exception_infos), "Dump exception info failed"); | |||
GE_CHK_STATUS_RET(DumpExceptionInfo(exception_infos), "[Dump][Exception] Dump exception info failed."); | |||
} else { | |||
GELOGI("Exception info is null"); | |||
GELOGI("[Dump][Exception] Exception info is null."); | |||
} | |||
GE_CHK_STATUS(listener_->OnComputeDone(model_id_, data_id, INTERNAL_ERROR, outputs), "OnComputeDone failed."); | |||
return INTERNAL_ERROR; | |||
@@ -4352,4 +4352,37 @@ Status DavinciModel::SetRunAsyncListenerCallback(const RunAsyncCallback &callbac | |||
listener->SetCallback(callback); | |||
return SUCCESS; | |||
} | |||
void DavinciModel::UpdateOpIOAddrs(uint32_t task_id, uint32_t stream_id, const std::vector<void *> &io_addrs) { | |||
if (fixed_mem_base_ == reinterpret_cast<uintptr_t>(mem_base_)) { | |||
GELOGD("[Update][OpIOAddrs] No need to update op input output addr."); | |||
return; | |||
} | |||
OpDescInfo *op_desc_info = exception_dumper_.MutableOpDescInfo(task_id, stream_id); | |||
if (op_desc_info == nullptr) { | |||
GELOGW("[Update][OpIOAddrs] Find op desc failed, task_id: %u, stream_id: %u.", task_id, stream_id); | |||
return; | |||
} | |||
size_t input_size = op_desc_info->input_addrs.size(); | |||
size_t output_size = op_desc_info->output_addrs.size(); | |||
if (input_size + output_size != io_addrs.size()) { | |||
GELOGW("[Update][OpIOAddrs] Op[%s] input size[%zu] and output size[%zu] is not equal to io addr size[%zu]", | |||
op_desc_info->op_name.c_str(), input_size, output_size, io_addrs.size()); | |||
return; | |||
} | |||
vector<void *> input_addrs; | |||
vector<void *> output_addrs; | |||
for (size_t i = 0; i < io_addrs.size(); i++) { | |||
if (i < input_size) { | |||
input_addrs.emplace_back(GetRunAddress(io_addrs[i])); | |||
} else { | |||
output_addrs.emplace_back(GetRunAddress(io_addrs[i])); | |||
} | |||
} | |||
op_desc_info->input_addrs = input_addrs; | |||
op_desc_info->output_addrs = output_addrs; | |||
GELOGD("[Update][OpIOAddrs] Op [%s] update input output addr success.", op_desc_info->op_name.c_str()); | |||
} | |||
} // namespace ge |
@@ -29,6 +29,7 @@ | |||
#include "common/helper/om_file_helper.h" | |||
#include "common/opskernel/ge_task_info.h" | |||
#include "common/properties_manager.h" | |||
#include "common/dump/exception_dumper.h" | |||
#include "common/dump/opdebug_register.h" | |||
#include "common/types.h" | |||
#include "framework/common/util.h" | |||
@@ -476,13 +477,17 @@ class DavinciModel { | |||
Status ReportProfilingData(); | |||
void SaveDumpOpInfo(const RuntimeParam &model_param, const OpDescPtr &op, uint32_t task_id, uint32_t stream_id) { | |||
data_dumper_.SaveDumpOpInfo(model_param, op, task_id, stream_id); | |||
exception_dumper_.SaveDumpOpInfo(model_param, op, task_id, stream_id); | |||
} | |||
void SaveDumpTask(uint32_t task_id, uint32_t stream_id, const shared_ptr<OpDesc> &op_desc, uintptr_t args) { | |||
data_dumper_.SaveDumpTask(task_id, stream_id, op_desc, args); | |||
} | |||
Status DumpExceptionInfo(const std::vector<rtExceptionInfo> &exception_infos) const { | |||
return exception_dumper_.DumpExceptionInfo(exception_infos); | |||
} | |||
void SetKnownShapeGlobalStep(void *global_step) { | |||
known_shape_global_step_ = global_step; | |||
} | |||
@@ -562,8 +567,9 @@ class DavinciModel { | |||
const DumpProperties &GetDumpProperties() const { return data_dumper_.GetDumpProperties(); } | |||
bool GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const { | |||
return data_dumper_.GetOpDescInfo(stream_id, task_id, op_desc_info); | |||
return exception_dumper_.GetOpDescInfo(stream_id, task_id, op_desc_info); | |||
} | |||
void UpdateOpIOAddrs(uint32_t task_id, uint32_t stream_id, const std::vector<void *> &io_addrs); | |||
bool GetRunningFlag() const { return running_flg_; } | |||
void SetRunningFlag(bool flag) { running_flg_ = flag; } | |||
@@ -1012,6 +1018,7 @@ class DavinciModel { | |||
int64_t maxDumpOpNum_; | |||
// for data dump | |||
DataDumper data_dumper_; | |||
ExceptionDumper exception_dumper_; | |||
OpdebugRegister opdebug_register_; | |||
uint64_t iterator_count_; | |||
bool is_l1_fusion_enable_; | |||
@@ -280,6 +280,7 @@ ModelManager::~ModelManager() { | |||
model_map_.clear(); | |||
model_aicpu_kernel_.clear(); | |||
cust_aicpu_so_.clear(); | |||
dump_exception_flag_ = false; | |||
GE_IF_BOOL_EXEC(device_count > 0, GE_CHK_RT(rtDeviceReset(0))); | |||
} | |||
@@ -1587,9 +1588,21 @@ Status ModelManager::GetOpDescInfo(uint32_t device_id, uint32_t stream_id, uint3 | |||
for (const auto &model : model_map_) { | |||
auto davinci_model = model.second; | |||
if (davinci_model->GetDeviceId() == device_id) { | |||
GELOGI("Start to GetOpDescInfo of device_id: %u.", device_id); | |||
GELOGI("[Get][OpDescInfo] Start to GetOpDescInfo of device_id: %u in davinci model.", device_id); | |||
if (davinci_model->GetOpDescInfo(stream_id, task_id, op_desc_info)) { | |||
GELOGI("Find specific node of stream_id: %u, task_id: %u.", stream_id, task_id); | |||
GELOGI("[Get][OpDescInfo] Find specific node of stream_id: %u, task_id: %u in davinci model.", | |||
stream_id, task_id); | |||
return SUCCESS; | |||
} | |||
} | |||
} | |||
for (const auto &model : hybrid_model_map_) { | |||
auto hybrid_model = model.second; | |||
if (hybrid_model->GetDeviceId() == device_id) { | |||
GELOGI("[Get][OpDescInfo] Start to GetOpDescInfo of device_id: %u in hybrid model.", device_id); | |||
if (hybrid_model->GetOpDescInfo(stream_id, task_id, op_desc_info)) { | |||
GELOGI("[Get][OpDescInfo] Find specific node of stream_id: %u, task_id: %u in hybrid model.", | |||
stream_id, task_id); | |||
return SUCCESS; | |||
} | |||
} | |||
@@ -1602,6 +1615,7 @@ Status ModelManager::EnableExceptionDump(const std::map<string, string> &options | |||
if (iter != options.end()) { | |||
GELOGI("Find option enable_exeception_dump is %s", iter->second.c_str()); | |||
if (iter->second == "1") { | |||
dump_exception_flag_ = true; | |||
rtError_t rt_ret = rtSetTaskFailCallback(reinterpret_cast<rtTaskFailCallback>(ExceptionCallback)); | |||
if (rt_ret != RT_ERROR_NONE) { | |||
REPORT_CALL_ERROR("E19999", "Call rtSetTaskFailCallback fail, ret = 0x%X", | |||
@@ -313,6 +313,7 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager { | |||
instance->AddExceptionInfo(*rt_exception_info); | |||
} | |||
bool IsDumpExceptionOpen() { return dump_exception_flag_; } | |||
private: | |||
/// | |||
/// @ingroup domi_ome | |||
@@ -356,6 +357,7 @@ class FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY ModelManager { | |||
std::map<uintptr_t, std::map<std::string, CustAICPUKernelPtr>> cust_aicpu_so_; | |||
static DumpProperties dump_properties_; | |||
bool dump_exception_flag_ = false; | |||
}; | |||
} // namespace ge | |||
@@ -357,6 +357,7 @@ void KernelExTaskInfo::SetIoAddrs(const OpDescPtr &op_desc) { | |||
Status KernelExTaskInfo::UpdateArgs() { | |||
GELOGI("KernelExTaskInfo::UpdateArgs in."); | |||
davinci_model_->SetTotalIOAddrs(io_addrs_); | |||
davinci_model_->UpdateOpIOAddrs(task_id_, stream_id_, io_addrs_); | |||
GELOGI("KernelExTaskInfo::UpdateArgs success."); | |||
return SUCCESS; | |||
} | |||
@@ -523,6 +523,7 @@ Status KernelTaskInfo::UpdateArgs() { | |||
return CopyNoncontinuousArgs(io_addr_offset_); | |||
} | |||
davinci_model_->SetTotalIOAddrs(io_addrs_); | |||
davinci_model_->UpdateOpIOAddrs(task_id_, stream_id_, io_addrs_); | |||
} else if (kernel_type_ == ccKernelType::AI_CPU || kernel_type_ == ccKernelType::CUST_AI_CPU) { | |||
return CopyNoncontinuousArgs(sizeof(aicpu::AicpuParamHead)); | |||
} | |||
@@ -63,5 +63,27 @@ Status GraphExecutionContext::Synchronize(rtStream_t rt_stream) { | |||
REPORT_CALL_ERROR("E19999", "invoke rtStreamSynchronize failed, ret = %d", rt_ret); | |||
return RT_FAILED; | |||
} | |||
Status GraphExecutionContext::DumpExceptionInfo(const std::vector<rtExceptionInfo> &exception_infos) { | |||
if (exception_infos.empty()) { | |||
GELOGI("[Dump][ExceptionInfo] Exception info is null."); | |||
return SUCCESS; | |||
} | |||
GELOGI("[Dump][ExceptionInfo] Start to search dynamic op info and to dump."); | |||
if (exception_dumper.DumpExceptionInfo(exception_infos) != SUCCESS) { | |||
GELOGE(FAILED, "[Dump][Exception] Dump dynamic op exception info failed."); | |||
return FAILED; | |||
} | |||
GELOGI("[Dump][ExceptionInfo] Start to search static op info and to dump."); | |||
for (const auto &iter : davinci_model) { | |||
if (iter != nullptr) { | |||
if (iter->DumpExceptionInfo(exception_infos) != SUCCESS) { | |||
GELOGE(FAILED, "[Dump][ExceptionInfo] Dump static op exception info failed."); | |||
return FAILED; | |||
} | |||
} | |||
} | |||
return SUCCESS; | |||
} | |||
} // namespace hybrid | |||
} // namespace ge |
@@ -23,6 +23,7 @@ | |||
#include "common/properties_manager.h" | |||
#include "framework/common/debug/ge_log.h" | |||
#include "graph/ge_local_context.h" | |||
#include "graph/load/model_manager/davinci_model.h" | |||
#include "hybrid/common/npu_memory_allocator.h" | |||
#include "hybrid/common/tensor_value.h" | |||
#include "hybrid/executor/hybrid_profiler.h" | |||
@@ -54,6 +55,7 @@ struct GraphExecutionContext { | |||
void SetErrorCode(Status error_code); | |||
Status GetStatus() const; | |||
Status Synchronize(rtStream_t rt_stream); | |||
Status DumpExceptionInfo(const std::vector<rtExceptionInfo> &exception_infos); | |||
uint64_t session_id = 0; | |||
uint64_t context_id = 0; | |||
@@ -68,6 +70,8 @@ struct GraphExecutionContext { | |||
DumpProperties dump_properties; | |||
bool trace_enabled = false; | |||
bool dump_enabled = false; | |||
ExceptionDumper exception_dumper; | |||
std::vector<std::shared_ptr<ge::DavinciModel>> davinci_model; | |||
std::atomic_bool is_eos_{false}; | |||
long profiling_level = 0; | |||
long iteration = 0; | |||
@@ -61,6 +61,8 @@ class HybridModelAsyncExecutor { | |||
void SetRunningFlag(bool flag) { running_flag_ = flag; } | |||
const GraphExecutionContext * GeContext() { return executor_->GetContext(); } | |||
private: | |||
Status InitInputDesc(); | |||
@@ -18,6 +18,7 @@ | |||
#include "graph/ge_context.h" | |||
#include "graph/runtime_inference_context.h" | |||
#include "graph/utils/tensor_utils.h" | |||
#include "graph/load/model_manager/model_manager.h" | |||
#include "common/dump/dump_manager.h" | |||
#include "common/profiling/profiling_manager.h" | |||
@@ -102,7 +103,17 @@ Status HybridModelExecutor::ExecuteGraphInternal(SubgraphExecutor &executor, | |||
} | |||
if (!model_->IsSingleOp()) { | |||
HYBRID_CHK_STATUS_RET(executor.Synchronize(), "Failed to sync root graph."); | |||
Status ret = executor.Synchronize(); | |||
if (ret != ge::SUCCESS) { | |||
auto model_manager = ModelManager::GetInstance(); | |||
GE_CHECK_NOTNULL(model_manager); | |||
auto exception_infos = model_manager->GetExceptionInfos(); | |||
if (!exception_infos.empty()) { | |||
HYBRID_CHK_STATUS_RET(context_.DumpExceptionInfo(exception_infos), | |||
"[Execute][GraphInternal] Dump exception info failed."); | |||
} | |||
GELOGE(ret, "[Execute][GraphInternal] Synchronize failed."); | |||
} | |||
RECORD_MODEL_EXECUTION_EVENT(&context_, "[Synchronize] End"); | |||
} | |||
@@ -4,6 +4,7 @@ | |||
#include "common/dump/dump_manager.h" | |||
#include "graph/ge_context.h" | |||
#include "graph/runtime_inference_context.h" | |||
#include "graph/load/model_manager/model_manager.h" | |||
namespace ge { | |||
namespace hybrid { | |||
@@ -266,6 +267,13 @@ Status HybridModelPipelineExecutor::Execute(HybridModelExecutor::ExecuteArgs &ar | |||
ret = stage_executors_[i]->Synchronize(); | |||
if (ret != SUCCESS) { | |||
auto model_manager = ModelManager::GetInstance(); | |||
GE_CHECK_NOTNULL(model_manager); | |||
auto exception_infos = model_manager->GetExceptionInfos(); | |||
if (!exception_infos.empty()) { | |||
HYBRID_CHK_STATUS_RET(context_.DumpExceptionInfo(exception_infos), | |||
"[Execute][GraphInternal] Dump exception info failed."); | |||
} | |||
GELOGE(ret, "[Invoke][Synchronize] failed for [Executor: %zu].", i); | |||
REPORT_CALL_ERROR("E19999", "[Executor: %zu] failed to Synchronize result.", i); | |||
has_error = true; | |||
@@ -19,6 +19,7 @@ | |||
#include "graph/utils/tensor_utils.h" | |||
#include "graph/utils/tensor_adapter.h" | |||
#include "graph/debug/ge_attr_define.h" | |||
#include "graph/load/model_manager/model_manager.h" | |||
#include "hybrid/node_executor/node_executor.h" | |||
#include "hybrid/executor//worker//shape_inference_engine.h" | |||
#include "common/dump/dump_op.h" | |||
@@ -70,6 +71,7 @@ class NodeDoneCallback { | |||
Status PrepareConstInputs(const NodeItem &node_item); | |||
Status DumpDynamicNode(); | |||
Status ProfilingReport(); | |||
Status SaveDumpOpInfo(); | |||
Status GetTaskDescInfo(const NodePtr node, const HybridModel *model, | |||
std::vector<TaskDescInfo> &task_desc_info); | |||
GraphExecutionContext *graph_context_; | |||
@@ -266,6 +268,40 @@ Status NodeDoneCallback::DumpDynamicNode() { | |||
return SUCCESS; | |||
} | |||
Status NodeDoneCallback::SaveDumpOpInfo() { | |||
GE_CHECK_NOTNULL(graph_context_); | |||
GE_CHECK_NOTNULL(graph_context_->model); | |||
auto node = context_->GetNodeItem().node; | |||
if (node == nullptr) { | |||
GELOGE(PARAM_INVALID, "[Save][DumpOpInfo] Get node is nullptr."); | |||
return PARAM_INVALID; | |||
} | |||
auto op_desc = node->GetOpDesc(); | |||
GE_CHECK_NOTNULL(op_desc); | |||
vector<void *> input_addrs; | |||
vector<void *> output_addrs; | |||
for (int i = 0; i < context_->NumInputs(); i++) { | |||
auto tensor_value = context_->GetInput(i); | |||
GE_CHK_BOOL_RET_STATUS(tensor_value != nullptr, PARAM_INVALID, "[Save][DumpOpInfo] Tensor value is nullptr."); | |||
void *input_addr = const_cast<void *>(tensor_value->GetData()); | |||
input_addrs.emplace_back(input_addr); | |||
} | |||
for (int j = 0; j < context_->NumOutputs(); j++) { | |||
auto tensor_value = context_->GetOutput(j); | |||
GE_CHK_BOOL_RET_STATUS(tensor_value != nullptr, PARAM_INVALID, "[Save][DumpOpInfo] Tensor value is nullptr."); | |||
void *output_addr = const_cast<void *>(tensor_value->GetData()); | |||
output_addrs.emplace_back(output_addr); | |||
} | |||
uint32_t stream_id = context_->GetStreamId(); | |||
uint32_t task_id = context_->GetTaskId(); | |||
graph_context_->exception_dumper.SaveDumpOpInfo(op_desc, task_id, stream_id, input_addrs, output_addrs); | |||
return SUCCESS; | |||
} | |||
Status NodeDoneCallback::OnNodeDone() { | |||
auto &node_item = context_->GetNodeItem(); | |||
GELOGI("[%s] Start callback process.", node_item.NodeName().c_str()); | |||
@@ -278,6 +314,12 @@ Status NodeDoneCallback::OnNodeDone() { | |||
GE_CHK_STATUS_RET(DumpDynamicNode(), "[Call][DumpDynamicNode] Failed."); | |||
} | |||
auto model_manager = ModelManager::GetInstance(); | |||
GE_CHECK_NOTNULL(model_manager); | |||
if (model_manager->IsDumpExceptionOpen()) { | |||
GE_CHK_STATUS_RET(SaveDumpOpInfo(), "[Save][DumpOpInfo] Failed to dump op info."); | |||
} | |||
if (ProfilingManager::Instance().ProfilingModelExecuteOn()) { | |||
GE_CHK_STATUS_RET(ProfilingReport(), "[Report][Profiling] of node[%s] failed.", node_item.NodeName().c_str()); | |||
} | |||
@@ -82,6 +82,12 @@ class HybridDavinciModel::Impl { | |||
model_.SetOmName(model_name); | |||
} | |||
uint32_t GetDeviceId() { | |||
return model_.GetDeviceId(); | |||
} | |||
const GraphExecutionContext * GeContext() { return executor_.GeContext(); } | |||
uint64_t GetSessionId() { | |||
return model_.GetSessionId(); | |||
} | |||
@@ -199,6 +205,11 @@ void HybridDavinciModel::SetOmName(const string &om_name) { | |||
} | |||
} | |||
uint32_t HybridDavinciModel::GetDeviceId() const { | |||
GE_CHECK_NOTNULL(impl_); | |||
return impl_->GetDeviceId(); | |||
} | |||
Status HybridDavinciModel::GetDynamicBatchInfo(std::vector<std::vector<int64_t>> &batch_info, int32_t &dynamic_type) { | |||
GE_CHECK_NOTNULL(impl_); | |||
return impl_->GetDynamicBatchInfo(batch_info, dynamic_type); | |||
@@ -245,5 +256,22 @@ bool HybridDavinciModel::GetRunningFlag() const { return impl_->GetRunningFlag() | |||
Status HybridDavinciModel::SetRunAsyncListenerCallback(const RunAsyncCallback &callback) { | |||
return impl_->SetRunAsyncListenerCallback(callback); | |||
} | |||
bool HybridDavinciModel::GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const { | |||
if (impl_ == nullptr) { | |||
return false; | |||
} | |||
auto context = impl_->GeContext(); | |||
GE_CHECK_NOTNULL(context); | |||
bool ret = context->exception_dumper.GetOpDescInfo(stream_id, task_id, op_desc_info); | |||
if (!ret) { | |||
for (const auto &iter : context->davinci_model) { | |||
if (iter->GetOpDescInfo(stream_id, task_id, op_desc_info)) { | |||
return true; | |||
} | |||
} | |||
} | |||
return ret; | |||
} | |||
} // namespace hybrid | |||
} // namespace ge |
@@ -61,6 +61,8 @@ class HybridDavinciModel { | |||
uint64_t GetSessionId(); | |||
uint32_t GetDeviceId() const; | |||
Status GetDynamicBatchInfo(std::vector<std::vector<int64_t>> &batch_info, int32_t &dynamic_type); | |||
void GetUserDesignateShapeOrder(std::vector<std::string> &user_input_shape_order); | |||
@@ -80,6 +82,8 @@ class HybridDavinciModel { | |||
Status SetRunAsyncListenerCallback(const RunAsyncCallback &callback); | |||
bool GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const; | |||
private: | |||
HybridDavinciModel() = default; | |||
class Impl; | |||
@@ -72,6 +72,10 @@ uint32_t HybridDavinciModel::GetDataInputerSize() { | |||
return 0; | |||
} | |||
uint32_t HybridDavinciModel::GetDeviceId() const { | |||
return 0; | |||
} | |||
Status HybridDavinciModel::GetDynamicBatchInfo(std::vector<std::vector<int64_t>> &batch_info, int32_t &dynamic_type) { | |||
return UNSUPPORTED; | |||
} | |||
@@ -99,5 +103,9 @@ bool HybridDavinciModel::GetRunningFlag() const { | |||
Status HybridDavinciModel::SetRunAsyncListenerCallback(const RunAsyncCallback &callback) { | |||
return UNSUPPORTED; | |||
} | |||
bool HybridDavinciModel::GetOpDescInfo(uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) const { | |||
return true; | |||
} | |||
} // namespace hybrid | |||
} // namespace ge |
@@ -208,6 +208,8 @@ Status AiCoreNodeTask::ExecuteAsync(TaskContext &context, std::function<void()> | |||
REPORT_CALL_ERROR("E19999", "rtGetTaskIdAndStreamID failed, ret: 0x%X.", rt_ret); | |||
return RT_ERROR_TO_GE_STATUS(rt_ret); | |||
} | |||
context.SetTaskId(task_id); | |||
context.SetStreamId(stream_id); | |||
GELOGD("Aicore node[%s] task_id: %u, stream_id: %u.", context.GetNodeName(), task_id, stream_id); | |||
(void)context.SaveProfilingTaskDescInfo(task_id, stream_id, kTaskTypeAicore, (*it)->GetBlockDim()); | |||
RECORD_EXECUTION_EVENT(context.GetExecutionContext(), context.GetNodeName(), "[AiCoreNodeLaunchKernel] End"); | |||
@@ -208,6 +208,8 @@ Status AicpuNodeTaskBase::ExecuteAsync(TaskContext &context, std::function<void( | |||
REPORT_CALL_ERROR("E19999", "rtGetTaskIdAndStreamID failed, ret: 0x%X.", rt_ret); | |||
return RT_ERROR_TO_GE_STATUS(rt_ret); | |||
} | |||
context.SetTaskId(task_id); | |||
context.SetStreamId(stream_id); | |||
GELOGD("Aicpu node[%s] task_id: %u, stream_id: %u.", context.GetNodeName(), task_id, stream_id); | |||
(void)context.SaveProfilingTaskDescInfo(task_id, stream_id, kTaskTypeAicpu, 0); | |||
auto callback = [=, &context]() { | |||
@@ -118,6 +118,14 @@ Status KnownNodeTask::Init(TaskContext &context) { | |||
davinci_model_->SubModelId()), | |||
"[Destroy][AicpuKernel] failed, session_id:%lu, model_id:%u, sub_model_id:%u", | |||
davinci_model_->GetSessionId(), davinci_model_->Id(), davinci_model_->SubModelId()); | |||
if (!load_flag_) { | |||
auto execution_context = const_cast<GraphExecutionContext *>(context.GetExecutionContext()); | |||
GE_CHECK_NOTNULL(execution_context); | |||
auto &davinci_model = execution_context->davinci_model; | |||
davinci_model.emplace_back(davinci_model_); | |||
load_flag_ = true; | |||
} | |||
GELOGI("[%s] KnownNodeExecutor::Init success.", context.GetNodeName()); | |||
return SUCCESS; | |||
} | |||
@@ -42,6 +42,7 @@ class KnownNodeTask : public NodeTask { | |||
virtual Status DoInitDavinciModel(void *weight, size_t weight_size); | |||
private: | |||
std::shared_ptr<DavinciModel> davinci_model_ = nullptr; | |||
bool load_flag_ = false; | |||
}; | |||
class KnownNodeExecutor : public NodeExecutor { | |||
@@ -1 +1 @@ | |||
Subproject commit df9abef65f902f37ca664f6dda4c60727dac2aca | |||
Subproject commit 424ac0609fe17f455865436462a2c62f85aea2b1 |
@@ -166,6 +166,7 @@ set(COMMON_SRC_FILES | |||
"${GE_CODE_DIR}/ge/common/dump/dump_properties.cc" | |||
"${GE_CODE_DIR}/ge/common/helper/model_helper.cc" | |||
"${GE_CODE_DIR}/ge/common/dump/dump_manager.cc" | |||
"${GE_CODE_DIR}/ge/common/dump/exception_dumper.cc" | |||
"${GE_CODE_DIR}/ge/common/dump/opdebug_register.cc" | |||
"${GE_CODE_DIR}/ge/common/dump/dump_op.cc" | |||
"${GE_CODE_DIR}/ge/common/helper/om_file_helper.cc" | |||
@@ -756,6 +757,7 @@ set(MULTI_PARTS_TEST_FILES | |||
"common/datatype_transfer_unittest.cc" | |||
"common/dump_manager_unittest.cc" | |||
"common/dump_op_unittest.cc" | |||
"common/dump_exception_unittest.cc" | |||
"common/opdebug_register_unittest.cc" | |||
"common/format_transfer_unittest.cc" | |||
"common/format_transfer_transpose_unittest.cc" | |||
@@ -0,0 +1,54 @@ | |||
/** | |||
* Copyright 2019-2020 Huawei Technologies Co., Ltd | |||
* | |||
* Licensed under the Apache License, Version 2.0 (the "License"); | |||
* you may not use this file except in compliance with the License. | |||
* You may obtain a copy of the License at | |||
* | |||
* http://www.apache.org/licenses/LICENSE-2.0 | |||
* | |||
* Unless required by applicable law or agreed to in writing, software | |||
* distributed under the License is distributed on an "AS IS" BASIS, | |||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |||
* See the License for the specific language governing permissions and | |||
* limitations under the License. | |||
*/ | |||
#include <gtest/gtest.h> | |||
#define protected public | |||
#define private public | |||
#include "common/dump/exception_dumper.h" | |||
#include "common/debug/log.h" | |||
#include "common/ge_inner_error_codes.h" | |||
#undef private | |||
#undef protected | |||
namespace ge { | |||
class UTEST_dump_exception : public testing::Test { | |||
protected: | |||
void SetUp() {} | |||
void TearDown() {} | |||
}; | |||
TEST_F(UTEST_dump_exception, save_dump_op_info_success) { | |||
OpDescPtr op_desc = std::make_shared<OpDesc>("GatherV2", "GatherV2"); | |||
uint32_t task_id = 1; | |||
uint32_t stream_id = 233; | |||
vector<void *> input_addr; | |||
vector<void *> output_addr; | |||
ExceptionDumper exception_dumper; | |||
exception_dumper.SaveDumpOpInfo(op_desc, task_id, stream_id, input_addr, output_addr); | |||
} | |||
TEST_F(UTEST_dump_exception, dump_exception_info) { | |||
rtExceptionInfo exception_info = {1, 2, 3, 4, 5}; | |||
std::vector<rtExceptionInfo> exception_infos = { exception_info }; | |||
OpDescInfo op_desc_info = {"Save", "Save", 1, 2, {FORMAT_NCHW}, {{1}}, {DT_FLOAT}, {}, {2}, | |||
{FORMAT_NCHW}, {{1}}, {DT_FLOAT}, {}, {2}}; | |||
ExceptionDumper exception_dumper; | |||
exception_dumper.op_desc_info_ = { op_desc_info }; | |||
exception_dumper.DumpExceptionInfo(exception_infos); | |||
} | |||
} // namespace ge |
@@ -1034,4 +1034,16 @@ TEST_F(UtestDavinciModel, NnExecute) { | |||
model.task_list_.resize(1); | |||
EXPECT_EQ(model.NnExecute(stream, false, input_data, output_data), SUCCESS); | |||
} | |||
TEST_F(UtestDavinciModel, update_io_addr_success) { | |||
DavinciModel model(0, nullptr); | |||
uint32_t task_id = 1; | |||
uint32_t stream_id = 2; | |||
model.fixed_mem_base_ = 0x22; | |||
model.mem_base_ = reinterpret_cast<uint8_t *>(&task_id); | |||
OpDescInfo op_desc_info = {"Save", "Save", 1, 2, {FORMAT_NCHW}, {{1}}, {DT_FLOAT}, {nullptr}, {2}, | |||
{FORMAT_NCHW}, {{1}}, {DT_FLOAT}, {nullptr}, {2}}; | |||
model.exception_dumper_.op_desc_info_ = { op_desc_info }; | |||
vector<void *> io_addr = {nullptr, nullptr}; | |||
model.UpdateOpIOAddrs(task_id, stream_id, io_addr); | |||
} | |||
} // namespace ge |