Browse Source

!731 revert

* 回退 'Pull Request !703 : TaskInfo release OpDesc after distribute.'
tags/v1.2.0
王笑天 4 years ago
parent
commit
325c1abd5b
10 changed files with 178 additions and 183 deletions
  1. +0
    -2
      ge/graph/load/new_model_manager/davinci_model.cc
  2. +2
    -29
      ge/graph/load/new_model_manager/davinci_model.h
  3. +29
    -27
      ge/graph/load/new_model_manager/task_info/hccl_task_info.cc
  4. +5
    -1
      ge/graph/load/new_model_manager/task_info/hccl_task_info.h
  5. +23
    -22
      ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.cc
  6. +1
    -2
      ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.h
  7. +62
    -75
      ge/graph/load/new_model_manager/task_info/kernel_task_info.cc
  8. +23
    -3
      ge/graph/load/new_model_manager/task_info/kernel_task_info.h
  9. +31
    -21
      ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.cc
  10. +2
    -1
      ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.h

+ 0
- 2
ge/graph/load/new_model_manager/davinci_model.cc View File

@@ -139,7 +139,6 @@ DavinciModel::DavinciModel(int32_t priority, const std::shared_ptr<ModelListener
is_l1_fusion_enable_(false),
is_first_execute_(true) {
op_list_.clear();
skt_info_ = {0, 0, 0, 0, nullptr, nullptr, {}, {}, {}, {}, {}, RT_KERNEL_DEFAULT, -1, 0, nullptr};
}

DavinciModel::~DavinciModel() {
@@ -262,7 +261,6 @@ Status DavinciModel::Assign(const GeModelPtr &ge_model) {
/// @return: void
///
void DavinciModel::Shrink() {
skt_info_ = {0, 0, 0, 0, nullptr, nullptr, {}, {}, {}, {}, {}, RT_KERNEL_DEFAULT, -1, 0, nullptr};
ge_model_.reset(); // delete object.
}



+ 2
- 29
ge/graph/load/new_model_manager/davinci_model.h View File

@@ -76,25 +76,6 @@ struct timeInfo {
int64_t dumpEndTime;
};

// For super kernel
struct SuperKernelTaskInfo {
uint32_t last_block_dim;
uint32_t last_args_size;
uint32_t last_task_id;
uint32_t last_stream_id;
void *last_stream;
void *last_sm_desc;
std::vector<void *> kernel_list;
std::vector<void *> arg_list;
std::vector<uint32_t> dump_flag_list;
std::vector<OpDescPtr> op_desc_list;
std::vector<uintptr_t> dump_args_list;
uint32_t last_dump_flag;
int64_t last_group_key;
uintptr_t last_dump_args;
OpDescPtr last_op;
};

struct TaskMemInfo {
int64_t input_size{0};
int64_t output_size{0};
@@ -223,14 +204,13 @@ class DavinciModel {
// get total mem size
size_t TotalMemSize() const { return runtime_param_.mem_size; }

const std::map<uint32_t, MemInfo> &P2PMemInfos() const { return runtime_param_.memory_infos; }
const std::map<uint32_t, MemInfo> &P2PMemInfos() const {return runtime_param_.memory_infos;}

// model name
string Name() const { return name_; }

// om_name
string OmName() const { return om_name_; }

// version
uint32_t Version() const { return version_; }

@@ -275,16 +255,12 @@ class DavinciModel {
}
return nullptr;
}

// get task info for profiling
const std::vector<TaskDescInfo> &GetTaskDescInfo() const { return task_desc_info_; }

// get updated task info list
std::vector<TaskInfoPtr> GetTaskList() { return task_list_; }

// Modified from KernelTaskInfo.
SuperKernelTaskInfo &GetSuperKernelTaskInfo() { return skt_info_; }

///
/// @ingroup ge
/// @brief get model input and output format
@@ -634,7 +610,7 @@ class DavinciModel {

uint8_t *MallocWeightsMem(size_t weights_size);

uint8_t *MallocP2PMem(size_t p2p_data_size);
uint8_t* MallocP2PMem(size_t p2p_data_size);

void FreeFeatureMapMem();

@@ -1020,9 +996,6 @@ class DavinciModel {

std::multimap<uint32_t, uint32_t> op_id_map_;
std::vector<ProfileInfo> profile_list_;

// For super kernel.
SuperKernelTaskInfo skt_info_;
};
} // namespace ge
#endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_DAVINCI_MODEL_H_

+ 29
- 27
ge/graph/load/new_model_manager/task_info/hccl_task_info.cc View File

@@ -59,40 +59,40 @@ Status HcclTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_m
GELOGI("HcclTaskInfo Init, op_index is: %u", op_index);

// Get HCCL op
const auto op_desc = davinci_model_->GetOpByIndex(op_index);
GE_CHECK_NOTNULL(op_desc);
op_desc_ = davinci_model->GetOpByIndex(op_index);
GE_CHECK_NOTNULL(op_desc_);

// Create the kernel hccl infos
CreateKernelHcclInfo(op_desc);
CreateKernelHcclInfo(op_desc_);

// Initialize the hccl_type of all kernel hccl info
HcomOmeUtil::GetHcclType(task_def, kernel_hccl_infos_);

// Only in Horovod scenario should get the inputName and GeShape
ret = HcomOmeUtil::GetHorovodInputs(op_desc, kernel_hccl_infos_);
ret = HcomOmeUtil::GetHorovodInputs(op_desc_, kernel_hccl_infos_);
if (ret != SUCCESS) {
GELOGE(ret, "davinci_model: GetHorovodInputs fail! domi error: %u", ret);
return ret;
}
Status dmrt = HcomOmeUtil::GetHcclDataType(op_desc, kernel_hccl_infos_);
Status dmrt = HcomOmeUtil::GetHcclDataType(op_desc_, kernel_hccl_infos_);
if (dmrt != SUCCESS) {
GELOGE(dmrt, "davinci_model: GetHcomDataType fail! domi error: %u", dmrt);
return dmrt;
}
dmrt = HcomOmeUtil::GetHcclCount(op_desc, kernel_hccl_infos_);
dmrt = HcomOmeUtil::GetHcclCount(op_desc_, kernel_hccl_infos_);
if (dmrt != SUCCESS) {
GELOGE(dmrt, "davinci_model: GetHcomCount fail! domi error: %u", dmrt);
return dmrt;
}
// Only HCOMBROADCAST and HVDCALLBACKBROADCAST need to get the rootId
dmrt = HcomOmeUtil::GetAllRootId(op_desc, kernel_hccl_infos_);
dmrt = HcomOmeUtil::GetAllRootId(op_desc_, kernel_hccl_infos_);
if (dmrt != SUCCESS) {
GELOGE(dmrt, "davinci_model: Get rootId fail! domi error: %u", dmrt);
return dmrt;
}

// GE's new process: hccl declares the number of streams required, creates a stream by GE, and sends it to hccl
ret = SetFollowStream(op_desc, davinci_model);
ret = SetFollowStream(op_desc_, davinci_model);
if (ret != SUCCESS) {
GELOGE(ret, "SetStream Fail.");
return ret;
@@ -100,28 +100,21 @@ Status HcclTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_m

if (davinci_model_->IsKnownNode()) {
args_ = davinci_model_->GetCurrentArgsAddr(args_offset_);
GELOGI("Known node %s args addr %p, offset %u.", op_desc->GetName().c_str(), args_, args_offset_);
GELOGI("Known node %s args addr %p, offset %u.", op_desc_->GetName().c_str(), args_, args_offset_);
}

ret = SetAddrs(op_desc, kernel_hccl_infos_);
ret = SetAddrs(op_desc_, kernel_hccl_infos_);
if (ret != SUCCESS) {
GELOGE(ret, "Setaddrs Fail.");
return ret;
}
// GE's new process: hccl declares the need for Workspace size, and GE allocates Workspace
ret = SetWorkspace(op_desc, kernel_hccl_infos_);
ret = SetWorkspace(op_desc_, kernel_hccl_infos_);
if (ret != SUCCESS) {
GELOGE(ret, "SetWorkspace Fail.");
return ret;
}

const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam();
const auto input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc);
const auto output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc);
const auto workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(rts_param, op_desc);
io_addrs_.insert(io_addrs_.end(), input_data_addrs.begin(), input_data_addrs.end());
io_addrs_.insert(io_addrs_.end(), output_data_addrs.begin(), output_data_addrs.end());
io_addrs_.insert(io_addrs_.end(), workspace_data_addrs.begin(), workspace_data_addrs.end());
GELOGI("HcclTaskInfo Init Success");
return SUCCESS;
}
@@ -238,7 +231,18 @@ Status HcclTaskInfo::CalculateArgs(const domi::TaskDef &task_def, DavinciModel *

Status HcclTaskInfo::UpdateArgs() {
GELOGI("HcclTaskInfo::UpdateArgs in.");
davinci_model_->SetTotalIOAddrs(io_addrs_);
const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam();
input_data_addrs_ = ModelUtils::GetInputDataAddrs(rts_param, op_desc_);
output_data_addrs_ = ModelUtils::GetOutputDataAddrs(rts_param, op_desc_);
workspace_data_addrs_ = ModelUtils::GetWorkspaceDataAddrs(rts_param, op_desc_);

vector<void *> io_addrs;
io_addrs.insert(io_addrs.end(), input_data_addrs_.begin(), input_data_addrs_.end());
io_addrs.insert(io_addrs.end(), output_data_addrs_.begin(), output_data_addrs_.end());
io_addrs.insert(io_addrs.end(), workspace_data_addrs_.begin(), workspace_data_addrs_.end());

davinci_model_->SetTotalIOAddrs(io_addrs);

GELOGI("HcclTaskInfo::UpdateArgs success.");
return SUCCESS;
}
@@ -257,11 +261,9 @@ Status HcclTaskInfo::SetAddrs(const std::shared_ptr<OpDesc> &op_desc,
HcclReduceOp op_type = HCCL_REDUCE_SUM;
GE_CHECK_NOTNULL(davinci_model_);
GELOGI("Calc opType[%s] input address before. Node name[%s]", op_desc->GetType().c_str(), op_desc->GetName().c_str());
vector<void *> input_data_addrs;
vector<void *> output_data_addrs;
if (!davinci_model_->IsKnownNode()) {
input_data_addrs = ModelUtils::GetInputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc);
output_data_addrs = ModelUtils::GetOutputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc);
input_data_addrs_ = ModelUtils::GetInputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc);
output_data_addrs_ = ModelUtils::GetOutputDataAddrs(davinci_model_->GetRuntimeParam(), op_desc);
}
void *input_data_addr = nullptr;
void *output_data_addr = nullptr;
@@ -273,8 +275,8 @@ Status HcclTaskInfo::SetAddrs(const std::shared_ptr<OpDesc> &op_desc,
output_data_addr = reinterpret_cast<void *>(reinterpret_cast<uint64_t *>(args_) + op_desc->GetInputsSize() + i);
GELOGI("Hccl task info known input addr %p, output addr %p.", input_data_addr, output_data_addr);
} else {
input_data_addr = input_data_addrs.empty() ? nullptr : input_data_addrs[i];
output_data_addr = output_data_addrs.empty() ? nullptr : output_data_addrs[i];
input_data_addr = input_data_addrs_.empty() ? nullptr : input_data_addrs_[i];
output_data_addr = output_data_addrs_.empty() ? nullptr : output_data_addrs_[i];
}
kernel_hccl_infos[i].inputDataAddr = input_data_addr;
if (hccl_type == HCOMALLGATHER || hccl_type == HCOMRECEIVE || hccl_type == HVDCALLBACKALLGATHER) {
@@ -364,8 +366,8 @@ Status HcclTaskInfo::SetWorkspace(const std::shared_ptr<OpDesc> &op_desc,
workspace_addr = reinterpret_cast<void *>(reinterpret_cast<uint64_t *>(args_) + op_desc->GetInputsSize() +
op_desc->GetOutputsSize());
} else {
const auto workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(davinci_model_->GetRuntimeParam(), op_desc);
workspace_addr = workspace_data_addrs.empty() ? nullptr : workspace_data_addrs[0];
workspace_data_addrs_ = ModelUtils::GetWorkspaceDataAddrs(davinci_model_->GetRuntimeParam(), op_desc);
workspace_addr = workspace_data_addrs_.empty() ? nullptr : workspace_data_addrs_[0];
}
}
}


+ 5
- 1
ge/graph/load/new_model_manager/task_info/hccl_task_info.h View File

@@ -35,6 +35,7 @@ class HcclTaskInfo : public TaskInfo {
ops_kernel_store_(nullptr),
private_def_(nullptr),
private_def_len_(0),
op_desc_(nullptr),
args_(nullptr),
args_offset_(0) {}

@@ -75,7 +76,10 @@ class HcclTaskInfo : public TaskInfo {
uint32_t private_def_len_;
static std::mutex hccl_follow_stream_mutex_;
vector<GETaskKernelHcclInfo> kernel_hccl_infos_;
vector<void *> io_addrs_;
vector<void *> input_data_addrs_;
vector<void *> output_data_addrs_;
vector<void *> workspace_data_addrs_;
OpDescPtr op_desc_;
void *args_;
uint32_t args_offset_;
};


+ 23
- 22
ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.cc View File

@@ -30,7 +30,11 @@
namespace ge {
Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_model) {
GELOGI("KernelExTaskInfo Init Start.");
GE_CHECK_NOTNULL(davinci_model);
if (davinci_model == nullptr) {
GELOGE(PARAM_INVALID, "davinci_model is null!");
return PARAM_INVALID;
}

davinci_model_ = davinci_model;
Status ret = SetStream(task_def.stream_id(), davinci_model_->GetStreamList());
if (ret != SUCCESS) {
@@ -47,6 +51,7 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin
GELOGE(INTERNAL_ERROR, "Init aicpu task info error, index is out of range!");
return INTERNAL_ERROR;
}
op_desc_ = op_desc;

// 2. Reconstruct kernelExDef.args to STR_FWK_OP_KERNEL
STR_FWK_OP_KERNEL fwk_op_kernel = {0};
@@ -74,8 +79,8 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin
return RT_ERROR_TO_GE_STATUS(rt_ret);)
}

GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, ext_info_addr_=%p", op_desc->GetName().c_str(),
op_desc->GetType().c_str(), ext_info.size(), ext_info_addr_);
GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, ext_info_addr_=%p", op_desc_->GetName().c_str(),
op_desc_->GetType().c_str(), ext_info.size(), ext_info_addr_);

// 2.1 get loop cond variable for tensor array write
uint64_t step_id_addr = 0;
@@ -128,7 +133,7 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin
return RT_ERROR_TO_GE_STATUS(rt_ret);)

GELOGI("KernelExTaskInfo knonw node Init Success.");
return SetIoAddrs(op_desc);
return SUCCESS;
}

// 3. Set workspaceaddr, inputOutputDataAddr
@@ -192,7 +197,7 @@ Status KernelExTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davin
davinci_model_->SetZeroCopyAddr(op_desc, io_addrs, io_addrs.data(), input_output_addr_, addrs_size, 0);

GELOGI("KernelExTaskInfo Init Success. session id: %lu", session_id);
return SetIoAddrs(op_desc);
return SUCCESS;
}

Status KernelExTaskInfo::CalculateArgs(const domi::TaskDef &task_def, DavinciModel *davinci_model) {
@@ -231,40 +236,36 @@ Status KernelExTaskInfo::CalculateArgs(const domi::TaskDef &task_def, DavinciMod
return SUCCESS;
}

Status KernelExTaskInfo::SetIoAddrs(const OpDescPtr &op_desc) {
Status KernelExTaskInfo::UpdateArgs() {
GELOGI("KernelExTaskInfo::UpdateArgs in.");
const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam();
vector<void *> input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc);
vector<void *> output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc);
if (!op_desc->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) {
io_addrs_.insert(io_addrs_.end(), input_data_addrs.begin(), input_data_addrs.end());
io_addrs_.insert(io_addrs_.end(), output_data_addrs.begin(), output_data_addrs.end());
vector<void *> input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc_);
vector<void *> output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc_);
vector<void *> io_addrs;
if (!op_desc_->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) {
io_addrs.insert(io_addrs.end(), input_data_addrs.begin(), input_data_addrs.end());
io_addrs.insert(io_addrs.end(), output_data_addrs.begin(), output_data_addrs.end());
} else {
string peer_input_name;
if (AttrUtils::GetStr(op_desc, ATTR_DYNAMIC_SHAPE_FIXED_ADDR, peer_input_name)) {
if (AttrUtils::GetStr(op_desc_, ATTR_DYNAMIC_SHAPE_FIXED_ADDR, peer_input_name)) {
uint32_t output_index = davinci_model_->GetFixedAddrOutputIndex(peer_input_name);
if (output_index > output_data_addrs.size()) {
GELOGE(FAILED, "The output data addr size[%zu] and output index[%u] are inconsistent.",
output_data_addrs.size(), output_index);
return FAILED;
}
io_addrs_.insert(io_addrs_.end(), input_data_addrs.begin(), input_data_addrs.end());
io_addrs.insert(io_addrs.end(), input_data_addrs.begin(), input_data_addrs.end());
for (size_t i = 0; i < output_data_addrs.size(); ++i) {
if (i == output_index) {
void *fixed_addr = davinci_model_->GetCurrentFixedAddr(fixed_addr_offset_);
io_addrs_.emplace_back(fixed_addr);
io_addrs.emplace_back(fixed_addr);
continue;
}
io_addrs_.emplace_back(output_data_addrs[i]);
io_addrs.emplace_back(output_data_addrs[i]);
}
}
}

return SUCCESS;
}

Status KernelExTaskInfo::UpdateArgs() {
GELOGI("KernelExTaskInfo::UpdateArgs in.");
davinci_model_->SetTotalIOAddrs(io_addrs_);
davinci_model_->SetTotalIOAddrs(io_addrs);
GELOGI("KernelExTaskInfo::UpdateArgs success.");
return SUCCESS;
}


+ 1
- 2
ge/graph/load/new_model_manager/task_info/kernel_ex_task_info.h View File

@@ -59,7 +59,6 @@ class KernelExTaskInfo : public TaskInfo {
};
private:
Status CopyTaskInfo(const domi::KernelExDef &kernel_def, const RuntimeParam &rts_param, const OpDescPtr &op_desc);
Status SetIoAddrs(const OpDescPtr &op_desc);

uint32_t task_id_;
uint32_t stream_id_;
@@ -70,7 +69,7 @@ class KernelExTaskInfo : public TaskInfo {
void *input_output_addr_;
void *ext_info_addr_;
void *dump_args_;
vector<void *> io_addrs_;
OpDescPtr op_desc_ = nullptr;
uint32_t args_offset_ = 0;
int64_t fixed_addr_offset_ = 0;
};


+ 62
- 75
ge/graph/load/new_model_manager/task_info/kernel_task_info.cc View File

@@ -53,6 +53,9 @@ const int kArgsAttrHandle = 4;
} // namespace

namespace ge {
KernelTaskInfo::SuperKernelTaskInfo KernelTaskInfo::skt_info_ = {
0, 0, 0, 0, nullptr, nullptr, {}, {}, {}, {}, {}, RT_KERNEL_DEFAULT, kInvalidGroupKey, 0, nullptr};

Status KernelTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci_model) {
GE_CHECK_NOTNULL(davinci_model);
davinci_model_ = davinci_model;
@@ -134,7 +137,6 @@ Status KernelTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *davinci
ret = InitCceTask(kernel_def);
}

SetIoAddrs(op_desc_);
GELOGD("KernelTaskInfo init finish, result=%u.", ret);
return ret;
}
@@ -146,10 +148,9 @@ Status KernelTaskInfo::SaveSKTDumpInfo() {
return SUCCESS;
}
// all op in super kernel share one taskid and streamid
const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
for (size_t i = 0; i < skt_info.op_desc_list.size(); i++) {
davinci_model_->SaveDumpTask(skt_info.last_task_id, skt_info.last_stream_id, skt_info.op_desc_list[i],
skt_info.dump_args_list[i]);
for (size_t i = 0; i < skt_info_.op_desc_list.size(); i++) {
davinci_model_->SaveDumpTask(skt_info_.last_task_id, skt_info_.last_stream_id, skt_info_.op_desc_list[i],
skt_info_.dump_args_list[i]);
}
return SUCCESS;
}
@@ -163,10 +164,9 @@ void KernelTaskInfo::UpdateSKTTaskId() {
GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
return;
}
SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
skt_info.last_task_id = task_id;
skt_info.last_stream_id = stream_id;
skt_id_ = skt_info.last_task_id;
skt_info_.last_task_id = task_id;
skt_info_.last_stream_id = stream_id;
skt_id_ = skt_info_.last_task_id;

GELOGI("UpdateTaskId:UpdateSKTTaskId [%u],stream id [%u]", task_id, stream_id);
}
@@ -191,25 +191,23 @@ Status KernelTaskInfo::SKTFinalize() {
UpdateSKTTaskId();
GE_CHK_STATUS_RET(SaveSKTDumpInfo(), "skt save dump info failed");
GELOGI("SuperKernel Distribute [skt_id:%u]", skt_id_);
SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
skt_info.kernel_list.clear();
skt_info.arg_list.clear();
skt_info.dump_flag_list.clear();
skt_info.op_desc_list.clear();
skt_info.dump_args_list.clear();
skt_info.last_stream = nullptr;
skt_info.last_block_dim = 0;
skt_info.last_sm_desc = sm_desc_;
skt_info.last_group_key = kInvalidGroupKey;
skt_info.last_dump_flag = RT_KERNEL_DEFAULT;
skt_info.last_dump_args = 0;
skt_info.last_op = nullptr;
skt_info_.kernel_list.clear();
skt_info_.arg_list.clear();
skt_info_.dump_flag_list.clear();
skt_info_.op_desc_list.clear();
skt_info_.dump_args_list.clear();
skt_info_.last_stream = nullptr;
skt_info_.last_block_dim = 0;
skt_info_.last_sm_desc = sm_desc_;
skt_info_.last_group_key = kInvalidGroupKey;
skt_info_.last_dump_flag = RT_KERNEL_DEFAULT;
skt_info_.last_dump_args = 0;
skt_info_.last_op = nullptr;
return SUCCESS;
}

uint32_t KernelTaskInfo::GetDumpFlag() {
const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
for (auto flag : skt_info.dump_flag_list) {
for (auto flag : skt_info_.dump_flag_list) {
if (flag == RT_KERNEL_DUMPFLAG) {
return RT_KERNEL_DUMPFLAG;
}
@@ -218,20 +216,19 @@ uint32_t KernelTaskInfo::GetDumpFlag() {
}

Status KernelTaskInfo::SuperKernelLaunch() {
SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
if (skt_info.kernel_list.empty()) {
if (skt_info_.kernel_list.empty()) {
GELOGI("SuperKernelLaunch: Skt_kernel_list has no task, just return");
return SUCCESS;
}
rtError_t rt_ret;
auto &skt_kernel_list = skt_info.kernel_list;
auto &skt_arg_list = skt_info.arg_list;
auto &skt_kernel_list = skt_info_.kernel_list;
auto &skt_arg_list = skt_info_.arg_list;
GELOGI("SuperKernelLaunch: Skt_kernel_list size[%zu] skt_arg_list[%zu]", skt_kernel_list.size(), skt_arg_list.size());
if (skt_kernel_list.size() == kSKTSingleSize && skt_arg_list.size() == kSKTSingleSize) {
rt_ret = rtKernelLaunchWithFlag(skt_info.kernel_list[0], static_cast<uint32_t>(skt_info.last_block_dim),
skt_info.arg_list[0], skt_info.last_args_size,
static_cast<rtSmDesc_t *>(skt_info.last_sm_desc), skt_info.last_stream,
skt_info.last_dump_flag);
rt_ret = rtKernelLaunchWithFlag(skt_info_.kernel_list[0], static_cast<uint32_t>(skt_info_.last_block_dim),
skt_info_.arg_list[0], skt_info_.last_args_size,
static_cast<rtSmDesc_t *>(skt_info_.last_sm_desc), skt_info_.last_stream,
skt_info_.last_dump_flag);
if (rt_ret != RT_ERROR_NONE) {
GELOGE(RT_FAILED, "SuperKernelLaunch: Call rt api failed, ret: 0x%X", rt_ret);
return RT_ERROR_TO_GE_STATUS(rt_ret);
@@ -250,14 +247,14 @@ Status KernelTaskInfo::SuperKernelLaunch() {
}
// Call the fuse API
std::unique_ptr<skt::SuperKernel> superKernel = nullptr;
ge_ret = factory->FuseKernels(skt_kernel_list, skt_arg_list, skt_info.last_block_dim, superKernel);
ge_ret = factory->FuseKernels(skt_kernel_list, skt_arg_list, skt_info_.last_block_dim, superKernel);
if (ge_ret != SUCCESS) {
GELOGE(ge_ret, "SuperKernelLaunch: fuse call failed");
return ge_ret;
}
// Launch a super kernel
skt_dump_flag_ = GetDumpFlag();
ge_ret = superKernel->Launch(skt_info.last_stream, skt_dump_flag_);
ge_ret = superKernel->Launch(skt_info_.last_stream, skt_dump_flag_);
if (ge_ret != SUCCESS) {
GELOGE(ge_ret, "SuperKernelLaunch: launch failed");
return ge_ret;
@@ -272,26 +269,23 @@ Status KernelTaskInfo::SuperKernelLaunch() {
}

Status KernelTaskInfo::SaveSuperKernelInfo() {
SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
skt_info.kernel_list.push_back(stub_func_);
skt_info.arg_list.push_back(args_);
skt_info.last_stream = stream_;
skt_info.last_block_dim = block_dim_;
skt_info.last_args_size = args_size_;
skt_info.last_sm_desc = sm_desc_;
skt_info.last_dump_flag = dump_flag_;
skt_info.dump_flag_list.push_back(dump_flag_);
skt_info.op_desc_list.push_back(op_desc_);
skt_info.dump_args_list.push_back(reinterpret_cast<uintptr_t>(skt_dump_args_));
skt_info.last_group_key = group_key_;
skt_info.last_dump_args = reinterpret_cast<uintptr_t>(skt_dump_args_);
skt_info.last_op = op_desc_;
skt_info_.kernel_list.push_back(stub_func_);
skt_info_.arg_list.push_back(args_);
skt_info_.last_stream = stream_;
skt_info_.last_block_dim = block_dim_;
skt_info_.last_args_size = args_size_;
skt_info_.last_sm_desc = sm_desc_;
skt_info_.last_dump_flag = dump_flag_;
skt_info_.dump_flag_list.push_back(dump_flag_);
skt_info_.op_desc_list.push_back(op_desc_);
skt_info_.dump_args_list.push_back(reinterpret_cast<uintptr_t>(skt_dump_args_));
skt_info_.last_group_key = group_key_;
skt_info_.last_dump_args = reinterpret_cast<uintptr_t>(skt_dump_args_);
skt_info_.last_op = op_desc_;
// last node in a stream, just launch
if (IsMarkedLastNode()) {
return SuperKernelLaunch();
}

GELOGI("Save Current task [block_dim:%u, size:%zu].", block_dim_, skt_info.kernel_list.size());
return SUCCESS;
}

@@ -328,9 +322,8 @@ bool KernelTaskInfo::IsMarkedFirstNode() {
// then may be saved to skt task list; else
// call skt launch those saved tasks before
bool KernelTaskInfo::FirstCallSKTLaunchCheck() {
const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
return ((block_dim_ != skt_info.last_block_dim) || (stream_ != skt_info.last_stream) ||
(has_group_key_ && (group_key_ != skt_info.last_group_key)));
return ((block_dim_ != skt_info_.last_block_dim) || (stream_ != skt_info_.last_stream) ||
(has_group_key_ && (group_key_ != skt_info_.last_group_key)));
}

// current task has group_id or has n ATTR_N_BATCH_SPLIT then save it to skt task list; else
@@ -369,6 +362,7 @@ Status KernelTaskInfo::SuperKernelDistribute() {
GELOGE(ret, "Call SuperKernelLaunch failed!");
return ret;
}
GELOGI("Save Current task [block_dim:%u, size:%zu].", block_dim_, skt_info_.kernel_list.size());
}
return SUCCESS;
}
@@ -397,11 +391,10 @@ Status KernelTaskInfo::Distribute() {
call_save_dump_ = true;
} else {
/* default: not skt launch */
const SuperKernelTaskInfo &skt_info = davinci_model_->GetSuperKernelTaskInfo();
GELOGD(
"KernelTaskInfo Distribute Start, sktenable:%d taskid:%u sktid:%u last_sktid:%u stubfunc_name:%s "
"stubfunc:%p blockdim:%u stream:%p",
call_skt, task_id_, skt_id_, skt_info.last_task_id, stub_func_name_.c_str(), stub_func_, block_dim_, stream_);
call_skt, task_id_, skt_id_, skt_info_.last_task_id, stub_func_name_.c_str(), stub_func_, block_dim_, stream_);
// l1 fusion enable and env flag open (kCloseSkt for skt debug)
bool open_dump = false;
auto all_dump_model = davinci_model_->GetDumpProperties().GetAllDumpModel();
@@ -429,30 +422,23 @@ Status KernelTaskInfo::Distribute() {
"KernelTaskInfo Distribute Success. sktenable:%d taskid:%d sktid:%d stubfunc_name:%s stubfunc:%p "
"blockdim:%d stream:%p",
call_skt, task_id_, skt_id_, stub_func_name_.c_str(), stub_func_, block_dim_, stream_);
op_desc_.reset(); // Not hold OpDesc after distribute.
return SUCCESS;
}

void KernelTaskInfo::SetIoAddrs(const OpDescPtr &op_desc) {
const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam();
vector<void *> input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc);
vector<void *> output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc);

io_addrs_.insert(io_addrs_.end(), input_data_addrs.begin(), input_data_addrs.end());
io_addrs_.insert(io_addrs_.end(), output_data_addrs.begin(), output_data_addrs.end());
if (kernel_type_ == ccKernelType::TE) {
vector<void *> workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(rts_param, op_desc);
io_addrs_.insert(io_addrs_.end(), workspace_data_addrs.begin(), workspace_data_addrs.end());
}
}

Status KernelTaskInfo::UpdateArgs() {
GELOGI("KernelTaskInfo::UpdateArgs in.");
const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam();
vector<void *> input_data_addrs = ModelUtils::GetInputDataAddrs(rts_param, op_desc_);
vector<void *> output_data_addrs = ModelUtils::GetOutputDataAddrs(rts_param, op_desc_);

vector<void *> io_addrs;
io_addrs.insert(io_addrs.end(), input_data_addrs.begin(), input_data_addrs.end());
io_addrs.insert(io_addrs.end(), output_data_addrs.begin(), output_data_addrs.end());
if (kernel_type_ == ccKernelType::TE) {
davinci_model_->SetTotalIOAddrs(io_addrs_);
vector<void *> workspace_data_addrs = ModelUtils::GetWorkspaceDataAddrs(rts_param, op_desc_);
io_addrs.insert(io_addrs.end(), workspace_data_addrs.begin(), workspace_data_addrs.end());
davinci_model_->SetTotalIOAddrs(io_addrs);
} else if (kernel_type_ == ccKernelType::AI_CPU || kernel_type_ == ccKernelType::CUST_AI_CPU) {
vector<void *> io_addrs = io_addrs_;
davinci_model_->UpdateKnownZeroCopyAddr(io_addrs);
uintptr_t io_addr = reinterpret_cast<uintptr_t>(args_addr.get()) + sizeof(aicpu::AicpuParamHead);
auto addrs_size = sizeof(uint64_t) * io_addrs.size();
@@ -803,6 +789,7 @@ Status KernelTaskInfo::InitCceTask(const domi::KernelDef &kernel_def) {
GELOGE(FAILED, "flowtable is null.");
return FAILED;
}
flowtable_size_ = flowtable.size();
}

// get smDesc stored in model
@@ -867,14 +854,14 @@ Status KernelTaskInfo::InitAicpuTask(uint32_t op_index, const domi::KernelDef &k
GELOGI("Do InitAicpuTask");
so_name_ = kernel_def.so_name();
kernel_name_ = kernel_def.kernel_name();
GELOGI("node[%s] test so name %s, kernel name %s", op_desc_->GetName().c_str(), so_name_.c_str(),
kernel_name_.c_str());

OpDescPtr op_desc = davinci_model_->GetOpByIndex(op_index);
if (op_desc == nullptr) {
GELOGE(INTERNAL_ERROR, "index is out of range, index: %u", op_index);
return INTERNAL_ERROR;
}
GELOGI("node[%s] test so name %s, kernel name %s", op_desc->GetName().c_str(), so_name_.c_str(),
kernel_name_.c_str());

if (kernel_type_ == ccKernelType::CUST_AI_CPU) {
bool loaded = false;
@@ -898,8 +885,8 @@ Status KernelTaskInfo::InitAicpuTask(uint32_t op_index, const domi::KernelDef &k
GELOGE(init_ret, "Init aicpu task ext info failed, ext_info size=%zu", ext_info.size());
return init_ret;
}
GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, aicpu_ext_info_addr_=%p", op_desc->GetName().c_str(),
op_desc->GetType().c_str(), ext_info.size(), aicpu_ext_info_addr_);
GELOGI("Node[%s] type[%s] kernel_ext_info size=%zu, aicpu_ext_info_addr_=%p", op_desc_->GetName().c_str(),
op_desc_->GetType().c_str(), ext_info.size(), aicpu_ext_info_addr_);

aicpu_param_head->extInfoAddr = reinterpret_cast<uintptr_t>(aicpu_ext_info_addr_);
aicpu_param_head->extInfoLength = static_cast<uintptr_t>(ext_info.size());


+ 23
- 3
ge/graph/load/new_model_manager/task_info/kernel_task_info.h View File

@@ -38,6 +38,7 @@ class KernelTaskInfo : public TaskInfo {
flowtable_(nullptr),
block_dim_(0),
args_size_(0),
flowtable_size_(0),
task_id_(0),
stream_id_(0),
so_name_(""),
@@ -45,6 +46,7 @@ class KernelTaskInfo : public TaskInfo {
kernel_type_(ccKernelType::CCE_AI_CORE),
dump_flag_(RT_KERNEL_DEFAULT),
dump_args_(nullptr),
op_desc_(nullptr),
davinci_model_(nullptr),
skt_id_(0),
stub_func_name_(""),
@@ -126,7 +128,6 @@ class KernelTaskInfo : public TaskInfo {

Status SuperKernelDistribute();
bool IsL1FusionOp(const OpDescPtr &op_desc);
void SetIoAddrs(const OpDescPtr &op_desc);

// For super kernel
Status SaveSKTDumpInfo();
@@ -147,6 +148,7 @@ class KernelTaskInfo : public TaskInfo {
void *flowtable_;
uint32_t block_dim_;
uint32_t args_size_;
uint32_t flowtable_size_;
uint32_t task_id_;
uint32_t stream_id_;
std::string so_name_;
@@ -154,8 +156,7 @@ class KernelTaskInfo : public TaskInfo {
ccKernelType kernel_type_;
uint32_t dump_flag_;
void *dump_args_;
OpDescPtr op_desc_; // Clear after distribute.
vector<void *> io_addrs_;
OpDescPtr op_desc_;
DavinciModel *davinci_model_;
uint32_t args_offset_ = 0;
uint32_t hybrid_args_offset_ = 0;
@@ -185,6 +186,25 @@ class KernelTaskInfo : public TaskInfo {
void *output_addrs = nullptr;
void *attr_handle = nullptr;
} custom_info_;

// For super kernel
static struct SuperKernelTaskInfo {
uint32_t last_block_dim;
uint32_t last_args_size;
uint32_t last_task_id;
uint32_t last_stream_id;
void *last_stream;
void *last_sm_desc;
std::vector<void *> kernel_list;
std::vector<void *> arg_list;
std::vector<uint32_t> dump_flag_list;
std::vector<OpDescPtr> op_desc_list;
std::vector<uintptr_t> dump_args_list;
uint32_t last_dump_flag;
int64_t last_group_key;
uintptr_t last_dump_args;
OpDescPtr last_op;
} skt_info_;
};
} // namespace ge
#endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_KERNEL_TASK_INFO_H_

+ 31
- 21
ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.cc View File

@@ -30,13 +30,14 @@ Status MemcpyAsyncTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da
return ret;
}

const domi::MemcpyAsyncDef &memcpy_async = task_def.memcpy_async();
count_ = memcpy_async.count();
kind_ = memcpy_async.kind();
dst_max_ = memcpy_async.dst_max();
OpDescPtr op_desc = davinci_model_->GetOpByIndex(memcpy_async.op_index());
memcpy_async_ = task_def.memcpy_async();
count_ = memcpy_async_.count();
kind_ = memcpy_async_.kind();
dst_max_ = memcpy_async_.dst_max();
OpDescPtr op_desc = davinci_model_->GetOpByIndex(memcpy_async_.op_index());
op_desc_ = op_desc;
if (op_desc == nullptr) {
GELOGE(INTERNAL_ERROR, "Task op index:%u out of range", memcpy_async.op_index());
GELOGE(INTERNAL_ERROR, "Task op index:%u out of range", memcpy_async_.op_index());
return INTERNAL_ERROR;
}

@@ -51,7 +52,7 @@ Status MemcpyAsyncTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da
}

const RuntimeParam &rts_param = davinci_model_->GetRuntimeParam();
ret = ModelUtils::GetRtAddress(rts_param, memcpy_async.src(), src_);
ret = ModelUtils::GetRtAddress(rts_param, memcpy_async_.src(), src_);
if (ret != SUCCESS) {
return ret;
}
@@ -60,32 +61,23 @@ Status MemcpyAsyncTaskInfo::Init(const domi::TaskDef &task_def, DavinciModel *da
vector<int64_t> memory_type_list;
(void)AttrUtils::GetListInt(op_desc, ATTR_NAME_OUTPUT_MEM_TYPE_LIST, memory_type_list);
if (!memory_type_list.empty() && memory_type_list[0] == RT_MEMORY_TS_4G) { // TS Feature, Just one.
uint64_t mem_offset = memcpy_async.dst() - rts_param.logic_mem_base;
dst_ = static_cast<uint8_t *>(rts_param.ts_mem_mall->Acquire(mem_offset, memcpy_async.dst_max()));
uint64_t mem_offset = memcpy_async_.dst() - rts_param.logic_mem_base;
dst_ = static_cast<uint8_t *>(rts_param.ts_mem_mall->Acquire(mem_offset, memcpy_async_.dst_max()));
if (dst_ == nullptr) {
return FAILED;
}
} else {
ret = ModelUtils::GetRtAddress(rts_param, memcpy_async.dst(), dst_);
ret = ModelUtils::GetRtAddress(rts_param, memcpy_async_.dst(), dst_);
if (ret != SUCCESS) {
return ret;
}
}

GELOGI("MemcpyAsyncTaskInfo Init Success, logic[0x%lx, 0x%lx], src:%p, dst:%p, max:%lu, count:%lu",
memcpy_async.src(), memcpy_async.dst(), src_, dst_, dst_max_, count_);
memcpy_async_.src(), memcpy_async_.dst(), src_, dst_, dst_max_, count_);

davinci_model_->DisableZeroCopy(src_);
davinci_model_->DisableZeroCopy(dst_);

io_addrs_.emplace_back(reinterpret_cast<void *>(src_));
if (op_desc->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) {
void *fixed_addr = davinci_model_->GetCurrentFixedAddr(fixed_addr_offset_);
io_addrs_.emplace_back(fixed_addr);
} else {
io_addrs_.emplace_back(reinterpret_cast<void *>(dst_));
}

return SUCCESS;
}

@@ -126,7 +118,25 @@ Status MemcpyAsyncTaskInfo::CalculateArgs(const domi::TaskDef &task_def, Davinci
Status MemcpyAsyncTaskInfo::UpdateArgs() {
GELOGI("MemcpyAsyncTaskInfo::UpdateArgs in.");
GE_CHECK_NOTNULL(davinci_model_);
davinci_model_->SetTotalIOAddrs(io_addrs_);
Status ret = ModelUtils::GetRtAddress(davinci_model_->GetRuntimeParam(), memcpy_async_.src(), src_);
if (ret != SUCCESS) {
return ret;
}

ret = ModelUtils::GetRtAddress(davinci_model_->GetRuntimeParam(), memcpy_async_.dst(), dst_);
if (ret != SUCCESS) {
return ret;
}

vector<void *> io_addrs;
io_addrs.emplace_back(reinterpret_cast<void *>(src_));
if (op_desc_->HasAttr(ATTR_DYNAMIC_SHAPE_FIXED_ADDR)) {
void *fixed_addr = davinci_model_->GetCurrentFixedAddr(fixed_addr_offset_);
io_addrs.emplace_back(fixed_addr);
} else {
io_addrs.emplace_back(reinterpret_cast<void *>(dst_));
}
davinci_model_->SetTotalIOAddrs(io_addrs);

GELOGI("MemcpyAsyncTaskInfo::UpdateArgs success.");
return SUCCESS;


+ 2
- 1
ge/graph/load/new_model_manager/task_info/memcpy_async_task_info.h View File

@@ -44,10 +44,11 @@ class MemcpyAsyncTaskInfo : public TaskInfo {
uint8_t *src_;
uint64_t count_;
uint32_t kind_;
vector<void *> io_addrs_;
OpDescPtr op_desc_;
int64_t fixed_addr_offset_;
DavinciModel *davinci_model_ = nullptr;
uint32_t args_offset_ = 0;
domi::MemcpyAsyncDef memcpy_async_;
};
} // namespace ge
#endif // GE_GRAPH_LOAD_NEW_MODEL_MANAGER_TASK_INFO_MEMCPY_ASYNC_TASK_INFO_H_

Loading…
Cancel
Save