@@ -244,7 +244,7 @@ Status GeExecutor::Initialize() { | |||
// Start profiling | |||
Options profiling_options; | |||
profiling_options.device_id = 0; | |||
profiling_options.job_id = ""; | |||
profiling_options.job_id = "1"; | |||
ProfilingManager::Instance().Init(profiling_options); | |||
isInit_ = true; | |||
@@ -17,6 +17,7 @@ | |||
#include "single_op/single_op.h" | |||
#include "common/fmk_types.h" | |||
#include "common/ge_types.h" | |||
#include "common/math/math_util.h" | |||
#include "common/profiling/profiling_manager.h" | |||
#include "framework/common/debug/ge_log.h" | |||
@@ -164,16 +165,53 @@ FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status SingleOp::ExecuteAsync(c | |||
return ret; | |||
} | |||
uint32_t index = 0; | |||
for (auto &task : tasks_) { | |||
ret = task->LaunchKernel(stream_); | |||
if (ret != SUCCESS) { | |||
return ret; | |||
} | |||
GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo(index)); | |||
index++; | |||
} | |||
return ret; | |||
} | |||
Status SingleOp::ProfilingTaskInfo(uint32_t index) { | |||
if (!ProfilingManager::Instance().ProfilingModelExecuteOn()) { | |||
return SUCCESS; | |||
} | |||
if (op_name_.size() <= index) { | |||
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "index[%d] is out of range of op_name_ size[%d].", index, op_name_.size()); | |||
return ACL_ERROR_GE_PARAM_INVALID; | |||
} | |||
GELOGD("ProfilingReport of op[%s] model[%s] start.", op_name_[index].c_str(), model_name_.c_str()); | |||
std::vector<TaskDescInfo> task_desc_info; | |||
uint32_t task_id = 0; | |||
uint32_t stream_id = 0; | |||
if (rtGetTaskIdAndStreamID(&task_id, &stream_id) != RT_ERROR_NONE) { | |||
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Get task_id and stream_id failed."); | |||
return ACL_ERROR_GE_PARAM_INVALID; | |||
} | |||
TaskDescInfo tmp_task_desc_info; | |||
tmp_task_desc_info.model_name = model_name_; | |||
tmp_task_desc_info.op_name = op_name_[index]; | |||
tmp_task_desc_info.block_dim = 0; | |||
tmp_task_desc_info.task_id = task_id; | |||
tmp_task_desc_info.stream_id = stream_id; | |||
GELOGD("GetTaskDescInfo of op [%s] end, task_id[%u], stream_id[%u]", op_name_[index].c_str(), task_id, stream_id); | |||
task_desc_info.emplace_back(tmp_task_desc_info); | |||
std::vector<ComputeGraphDescInfo> compute_graph_info; | |||
auto &profiling_manager = ProfilingManager::Instance(); | |||
profiling_manager.ReportProfilingData(model_id_, task_desc_info, compute_graph_info, | |||
!profiling_manager.IsAclApiMode()); | |||
return SUCCESS; | |||
} | |||
void SingleOp::SetStream(rtStream_t stream) { | |||
stream_ = stream; | |||
} | |||
@@ -263,6 +301,36 @@ Status DynamicSingleOp::ExecuteTbeTask(const vector<GeTensorDesc> &input_desc, | |||
return op_task_->LaunchKernel(inputs, outputs, workspace_buffers, stream_); | |||
} | |||
Status DynamicSingleOp::ProfilingTaskInfo() { | |||
if (!ProfilingManager::Instance().ProfilingModelExecuteOn()) { | |||
return SUCCESS; | |||
} | |||
GELOGD("ProfilingReport of op[%s] model[%s] start.", op_name_.c_str(), model_name_.c_str()); | |||
std::vector<TaskDescInfo> task_desc_info; | |||
uint32_t task_id = 0; | |||
uint32_t stream_id = 0; | |||
if (rtGetTaskIdAndStreamID(&task_id, &stream_id) != RT_ERROR_NONE) { | |||
GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Get task_id and stream_id failed."); | |||
return ACL_ERROR_GE_PARAM_INVALID; | |||
} | |||
TaskDescInfo tmp_task_desc_info; | |||
tmp_task_desc_info.model_name = model_name_; | |||
tmp_task_desc_info.op_name = op_name_; | |||
tmp_task_desc_info.block_dim = 0; | |||
tmp_task_desc_info.task_id = task_id; | |||
tmp_task_desc_info.stream_id = stream_id; | |||
GELOGD("GetTaskDescInfo of op [%s] end, task_id[%u], stream_id[%u]", op_name_.c_str(), task_id, stream_id); | |||
task_desc_info.emplace_back(tmp_task_desc_info); | |||
std::vector<ComputeGraphDescInfo> compute_graph_info; | |||
auto &profiling_manager = ProfilingManager::Instance(); | |||
profiling_manager.ReportProfilingData(model_id_, task_desc_info, compute_graph_info, | |||
!profiling_manager.IsAclApiMode()); | |||
return SUCCESS; | |||
} | |||
Status DynamicSingleOp::ExecuteAsync(const vector<GeTensorDesc> &input_desc, | |||
const vector<DataBuffer> &input_buffers, | |||
vector<GeTensorDesc> &output_desc, | |||
@@ -281,9 +349,17 @@ Status DynamicSingleOp::ExecuteAsync(const vector<GeTensorDesc> &input_desc, | |||
} | |||
if (op_task_->GetOpTaskType() == OP_TASK_TBE) { | |||
return ExecuteTbeTask(input_desc, inputs, output_desc, outputs); | |||
auto ret = ExecuteTbeTask(input_desc, inputs, output_desc, outputs); | |||
if (ret == SUCCESS) { | |||
GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo()); | |||
} | |||
return ret; | |||
} else if (op_task_->GetOpTaskType() == OP_TASK_AICPU || op_task_->GetOpTaskType() == OP_TASK_AICPUCC) { | |||
return op_task_->LaunchKernel(input_desc, input_buffers, output_desc, output_buffers, stream_); | |||
auto aicpu_ret = op_task_->LaunchKernel(input_desc, input_buffers, output_desc, output_buffers, stream_); | |||
if (aicpu_ret == SUCCESS) { | |||
GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo()); | |||
} | |||
return aicpu_ret; | |||
} else { | |||
GELOGE(ACL_ERROR_GE_OP_TASK_TYPE_INVALID, | |||
"Only TBE_Task, AI_CPU_Task and AI_CPUCC_Task are supported, but got %u", | |||
@@ -42,6 +42,7 @@ class SingleOp { | |||
Status ValidateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs); | |||
Status UpdateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs); | |||
Status GetArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs); | |||
Status ProfilingTaskInfo(uint32_t index); | |||
friend class SingleOpModel; | |||
std::mutex *stream_mutex_; | |||
@@ -53,7 +54,10 @@ class SingleOp { | |||
std::vector<uintptr_t> args_; | |||
std::vector<OpTask *> tasks_; | |||
std::vector<std::string> op_name_; | |||
std::vector<std::vector<uintptr_t *>> arg_table_; | |||
std::string model_name_; | |||
uint32_t model_id_ = 0; | |||
}; | |||
class DynamicSingleOp { | |||
@@ -79,6 +83,7 @@ class DynamicSingleOp { | |||
const vector<void *> &inputs, | |||
vector<GeTensorDesc> &output_desc, | |||
vector<void *> &outputs); | |||
Status ProfilingTaskInfo(); | |||
std::unique_ptr<OpTask> op_task_; | |||
uintptr_t resource_id_ = 0; | |||
@@ -86,6 +91,9 @@ class DynamicSingleOp { | |||
rtStream_t stream_ = nullptr; | |||
size_t num_inputs_ = 0; | |||
size_t num_outputs_ = 0; | |||
std::string model_name_; | |||
std::string op_name_; | |||
uint32_t model_id_ = 0; | |||
}; | |||
} // namespace ge | |||
#endif // GE_SINGLE_OP_SINGLE_OP_H_ |
@@ -157,6 +157,7 @@ Status SingleOpModel::LoadAllNodes() { | |||
auto ge_model = model_helper_.GetGeModel(); | |||
GE_CHECK_NOTNULL(ge_model); | |||
Graph graph = ge_model->GetGraph(); | |||
model_id_ = ge_model->GetModelId(); | |||
auto compute_graph = GraphUtils::GetComputeGraph(graph); | |||
if (compute_graph == nullptr) { | |||
GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "[%s] compute_graph is null", model_name_.c_str()); | |||
@@ -222,6 +223,8 @@ Status SingleOpModel::SetInputsAndOutputs(SingleOp &single_op) { | |||
} | |||
single_op.args_.resize(arg_index); | |||
single_op.model_name_ = model_name_; | |||
single_op.model_id_ = model_id_; | |||
return SUCCESS; | |||
} | |||
@@ -245,10 +248,11 @@ Status SingleOpModel::BuildTaskList(SingleOp &single_op) { | |||
if (ret != SUCCESS) { | |||
return ret; | |||
} | |||
string tbe_op_name = op_list_[context.op_index()]->GetName(); | |||
single_op.arg_table_.resize(single_op.input_sizes_.size() + single_op.output_sizes_.size()); | |||
ParseArgTable(tbe_task, single_op); | |||
single_op.tasks_.emplace_back(tbe_task); | |||
single_op.op_name_.emplace_back(tbe_op_name); | |||
} else if (kernel_type == cce::ccKernelType::AI_CPU || kernel_type == cce::ccKernelType::CUST_AI_CPU) { | |||
GELOGD("Building AICPU_CC task"); | |||
OpTask *task = nullptr; | |||
@@ -258,7 +262,9 @@ Status SingleOpModel::BuildTaskList(SingleOp &single_op) { | |||
if (ret != SUCCESS) { | |||
return ret; | |||
} | |||
string aicpu_op_name = op_list_[context.op_index()]->GetName(); | |||
single_op.tasks_.emplace_back(task); | |||
single_op.op_name_.emplace_back(aicpu_op_name); | |||
} else { | |||
GELOGE(ACL_ERROR_GE_OP_KERNEL_TYPE_INVALID, "Only TBE, AI_CPU, CUST_AI_CPU kernel are supported, but got %u", context.kernel_type()); | |||
return ACL_ERROR_GE_OP_KERNEL_TYPE_INVALID; | |||
@@ -273,7 +279,9 @@ Status SingleOpModel::BuildTaskList(SingleOp &single_op) { | |||
if (ret != SUCCESS) { | |||
return ret; | |||
} | |||
string op_name = op_list_[task_def.kernel_ex().op_index()]->GetName(); | |||
single_op.tasks_.emplace_back(aicpu_task); | |||
single_op.op_name_.emplace_back(op_name); | |||
} else { | |||
// skip | |||
GELOGD("Skip task type: %d", static_cast<int>(task_type)); | |||
@@ -393,6 +401,8 @@ Status SingleOpModel::BuildModelTaskKernel(const TaskDef &task_def, DynamicSingl | |||
GELOGD("Building TBE task"); | |||
TbeOpTask *tbe_task = nullptr; | |||
GE_CHK_STATUS_RET_NOLOG(BuildKernelTask(task_def.kernel(), &tbe_task)); | |||
string te_op_name = op_list_[context.op_index()]->GetName(); | |||
single_op.op_name_ = te_op_name; | |||
single_op.op_task_.reset(tbe_task); | |||
} else if (kernel_type == cce::ccKernelType::AI_CPU || kernel_type == cce::ccKernelType::CUST_AI_CPU) { | |||
GELOGD("Building AICPU_CC task"); | |||
@@ -400,6 +410,8 @@ Status SingleOpModel::BuildModelTaskKernel(const TaskDef &task_def, DynamicSingl | |||
uint64_t dynamic_singleop_kernel_id = aicpu_kernel_id++; | |||
GELOGI("Build dynamic singleOp CCTask, kernel_id = %lu", dynamic_singleop_kernel_id); | |||
GE_CHK_STATUS_RET_NOLOG(BuildCpuKernelTask(task_def.kernel(), &task, dynamic_singleop_kernel_id)); | |||
string aicpu_op_name = op_list_[context.op_index()]->GetName(); | |||
single_op.op_name_ = aicpu_op_name; | |||
single_op.op_task_.reset(task); | |||
} else { | |||
GELOGE(ACL_ERROR_GE_OP_KERNEL_TYPE_INVALID, | |||
@@ -446,6 +458,8 @@ Status SingleOpModel::BuildTaskListForDynamicOp(DynamicSingleOp &single_op) { | |||
const TaskDef ©_task_def = tasks[i]; | |||
GE_CHK_STATUS_RET_NOLOG(aicpu_task->SetMemCopyTask(copy_task_def.kernel_ex())); | |||
} | |||
string op_name = op_list_[task_def.kernel_ex().op_index()]->GetName(); | |||
single_op.op_name_ = op_name; | |||
single_op.op_task_.reset(aicpu_task); | |||
} else { | |||
// skip | |||
@@ -458,6 +472,8 @@ Status SingleOpModel::BuildTaskListForDynamicOp(DynamicSingleOp &single_op) { | |||
Status SingleOpModel::BuildDynamicOp(DynamicSingleOp &single_op) { | |||
single_op.num_inputs_ = data_ops_.size(); | |||
single_op.num_outputs_ = netoutput_op_->GetAllInputsSize(); | |||
single_op.model_name_ = model_name_; | |||
single_op.model_id_ = model_id_; | |||
ParseOpModelParams(model_helper_, model_params_); | |||
return BuildTaskListForDynamicOp(single_op); | |||
} | |||
@@ -77,6 +77,7 @@ class SingleOpModel { | |||
void ParseArgTable(TbeOpTask *task, SingleOp &op); | |||
std::string model_name_; | |||
uint32_t model_id_ = 0; | |||
const void *ori_model_data_; | |||
uint32_t ori_model_size_; | |||