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mindspore2022/mindspore/ccsrc/device/kernel_adjust.cc

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/**
* Copyright 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 "device/kernel_adjust.h"
#include <map>
#include <algorithm>
#include <string>
#include <unordered_set>
#include <unordered_map>
#include <vector>
#include "session/anf_runtime_algorithm.h"
#include "utils/context/ms_context.h"
#include "common/trans.h"
#include "utils/config_manager.h"
#include "common/utils.h"
#include "kernel/kernel_build_info.h"
#include "utils/utils.h"
#include "device/ascend/profiling/profiling_manager.h"
#include "device/ascend/kernel_select_ascend.h"
#include "runtime/base.h"
#include "device/ascend/ascend_stream_assign.h"
namespace mindspore {
namespace device {
using device::ascend::ProfilingUtils;
void KernelAdjust::Reorder(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
const std::vector<CNodePtr> &origin_cnode_list = kernel_graph_ptr->execution_order();
std::vector<CNodePtr> momentum_list;
std::vector<CNodePtr> other_list;
for (const auto &cnode : origin_cnode_list) {
if (kOptOperatorSet.find(AnfAlgo::GetCNodeName(cnode)) != kOptOperatorSet.end()) {
momentum_list.emplace_back(cnode);
} else {
other_list.emplace_back(cnode);
}
}
std::vector<CNodePtr> new_order_list;
new_order_list.insert(new_order_list.end(), other_list.begin(), other_list.end());
new_order_list.insert(new_order_list.end(), momentum_list.begin(), momentum_list.end());
kernel_graph_ptr->set_execution_order(new_order_list);
}
bool KernelAdjust::NeedInsertSwitch() {
auto context_ptr = MsContext::GetInstance();
MS_EXCEPTION_IF_NULL(context_ptr);
return (context_ptr->enable_task_sink() && context_ptr->loop_sink_flag() &&
ConfigManager::GetInstance().iter_num() > 1);
}
uint32_t KernelAdjust::FindFirstStreamSwitchLabel(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
auto cnode_ptr_list = kernel_graph_ptr->execution_order();
CNodePtr cur_cnode_ptr = nullptr;
uint32_t label = kInvalidDistincLabel;
for (uint32_t i = 0; i < cnode_ptr_list.size(); ++i) {
cur_cnode_ptr = cnode_ptr_list[i];
MS_EXCEPTION_IF_NULL(cur_cnode_ptr);
if (AnfAlgo::GetCNodeName(cur_cnode_ptr) == kStreamSwitchOpName) {
label = AnfAlgo::GetStreamDistinctionLabel(cur_cnode_ptr.get());
break;
}
}
return label;
}
CNodePtr KernelAdjust::CreateSendApplyKernel(const std::shared_ptr<session::KernelGraph> &graph_ptr,
uint32_t event_id) {
MS_EXCEPTION_IF_NULL(graph_ptr);
auto send_op = std::make_shared<Primitive>(kSendOpName);
MS_EXCEPTION_IF_NULL(send_op);
auto send_apply = std::make_shared<ValueNode>(send_op);
MS_EXCEPTION_IF_NULL(send_apply);
std::vector<AnfNodePtr> send_input_list = {send_apply};
CNodePtr send_node_ptr = graph_ptr->NewCNode(send_input_list);
MS_EXCEPTION_IF_NULL(send_node_ptr);
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetKernelType(KernelType::RT_KERNEL);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), send_node_ptr.get());
AnfAlgo::SetNodeAttr(kAttrEventId, MakeValue(event_id), send_node_ptr);
auto abstract_none = std::make_shared<abstract::AbstractNone>();
MS_EXCEPTION_IF_NULL(abstract_none);
send_node_ptr->set_abstract(abstract_none);
return send_node_ptr;
}
CNodePtr KernelAdjust::CreateRecvApplyKernel(const std::shared_ptr<session::KernelGraph> &graph_ptr,
uint32_t event_id) {
MS_EXCEPTION_IF_NULL(graph_ptr);
auto recv_op = std::make_shared<Primitive>(kRecvOpName);
MS_EXCEPTION_IF_NULL(recv_op);
auto recv_apply = std::make_shared<ValueNode>(recv_op);
MS_EXCEPTION_IF_NULL(recv_apply);
std::vector<AnfNodePtr> recv_input_list = {recv_apply};
CNodePtr recv_node_ptr = graph_ptr->NewCNode(recv_input_list);
MS_EXCEPTION_IF_NULL(recv_node_ptr);
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetKernelType(KernelType::RT_KERNEL);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), recv_node_ptr.get());
AnfAlgo::SetNodeAttr(kAttrEventId, MakeValue(event_id), recv_node_ptr);
auto abstract_none = std::make_shared<abstract::AbstractNone>();
MS_EXCEPTION_IF_NULL(abstract_none);
recv_node_ptr->set_abstract(abstract_none);
return recv_node_ptr;
}
void KernelAdjust::InsertSwitchLoop(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
if (!NeedInsertSwitch()) {
return;
}
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
std::map<std::string, mindspore::ParameterPtr> switch_loop_input;
CreateSwitchOpParameters(kernel_graph_ptr, &switch_loop_input);
std::vector<AnfNodePtr> *mute_inputs = kernel_graph_ptr->MutableInputs();
MS_EXCEPTION_IF_NULL(mute_inputs);
mute_inputs->push_back(switch_loop_input[kLoopCountParamName]);
mute_inputs->push_back(switch_loop_input[kIterLoopParamName]);
mute_inputs->push_back(switch_loop_input[kZeroParamName]);
mute_inputs->push_back(switch_loop_input[kOneParamName]);
for (const auto &input : kernel_graph_ptr->inputs()) {
MS_EXCEPTION_IF_NULL(input);
if (input->isa<Parameter>()) {
ParameterPtr param_ptr = input->cast<ParameterPtr>();
if (param_ptr == nullptr) {
MS_EXCEPTION(NotSupportError) << "Cast to parameter point failed !";
}
}
}
auto orders = kernel_graph_ptr->execution_order();
if (orders.empty()) {
MS_LOG(EXCEPTION) << "graph execution order is empty";
}
uint32_t first_cnode_stream_label = AnfAlgo::GetStreamDistinctionLabel(orders[0].get());
std::vector<CNodePtr> exec_order;
CNodePtr first_stream_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input);
MS_EXCEPTION_IF_NULL(first_stream_switch_app);
AnfAlgo::SetStreamDistinctionLabel(kFirstStreamSwitchLabel, first_stream_switch_app.get());
AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(kGetNextLabel), first_stream_switch_app);
CNodePtr second_stream_switch_app = CreateStreamSwitchOp(kernel_graph_ptr, switch_loop_input);
MS_EXCEPTION_IF_NULL(second_stream_switch_app);
AnfAlgo::SetStreamDistinctionLabel(kSecondStreamSwitchLabel, second_stream_switch_app.get());
AnfAlgo::SetNodeAttr(kAttrTrueBranchStream, MakeValue<uint32_t>(first_cnode_stream_label), second_stream_switch_app);
// add attr "stream_need_active"
AnfAlgo::SetNodeAttr(kStreamNeedActivedFirst, MakeValue<bool>(true), second_stream_switch_app);
CNodePtr first_stream_active_app = CreateStreamActiveOp(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(first_stream_active_app);
AnfAlgo::SetStreamDistinctionLabel(first_cnode_stream_label, first_stream_active_app.get());
std::vector<uint32_t> first_active_streams = {kFirstStreamSwitchLabel};
AnfAlgo::SetNodeAttr(kAttrActiveStreamList, MakeValue<std::vector<uint32_t>>(first_active_streams),
first_stream_active_app);
CNodePtr second_stream_active_app = CreateStreamActiveOp(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(second_stream_active_app);
// specific deal for common ctrl stream policy
uint32_t first_common_stream_switch_label = FindFirstStreamSwitchLabel(kernel_graph_ptr);
if (first_common_stream_switch_label == kInvalidDistincLabel) {
AnfAlgo::SetStreamDistinctionLabel(first_cnode_stream_label, second_stream_active_app.get());
} else {
AnfAlgo::SetStreamDistinctionLabel(first_common_stream_switch_label, second_stream_active_app.get());
}
std::vector<uint32_t> second_active_streams = {kSecondStreamSwitchLabel};
AnfAlgo::SetNodeAttr(kAttrActiveStreamList, MakeValue<std::vector<uint32_t>>(second_active_streams),
second_stream_active_app);
CNodePtr assign_add_one = CreateStreamAssignAddnOP(kernel_graph_ptr, switch_loop_input);
MS_EXCEPTION_IF_NULL(assign_add_one);
AnfAlgo::SetStreamDistinctionLabel(first_cnode_stream_label, assign_add_one.get());
CNodePtr send = CreateSendApplyKernel(kernel_graph_ptr, kFirstEventId);
AnfAlgo::SetStreamDistinctionLabel(kGetNextLabel, send.get());
CNodePtr recv = CreateRecvApplyKernel(kernel_graph_ptr, kFirstEventId);
AnfAlgo::SetStreamDistinctionLabel(first_cnode_stream_label, recv.get());
// reorder graph orders
exec_order.push_back(first_stream_switch_app);
size_t i = 0;
for (; i < orders.size(); i++) {
auto node = orders[i];
exec_order.push_back(node);
AnfAlgo::SetStreamDistinctionLabel(kGetNextLabel, exec_order[exec_order.size() - 1].get());
if (AnfAlgo::GetCNodeName(node) == kGetNextOpName) {
break;
}
}
exec_order.push_back(send);
exec_order.push_back(second_stream_switch_app);
exec_order.push_back(recv);
exec_order.push_back(assign_add_one);
std::vector<CNodePtr> memcpy_list;
std::vector<CNodePtr> before_list;
std::vector<CNodePtr> after_list;
bool first_memcpy_found = false;
CNodePtr cur_cnode = nullptr;
for (size_t idx = i + 1; idx < orders.size(); idx++) {
cur_cnode = orders[idx];
if (AnfAlgo::HasNodeAttr(kAttrLabelForInsertStreamActive, cur_cnode)) {
memcpy_list.emplace_back(cur_cnode);
first_memcpy_found = true;
} else if (first_memcpy_found) {
after_list.emplace_back(cur_cnode);
} else {
before_list.emplace_back(cur_cnode);
}
}
(void)std::copy(before_list.begin(), before_list.end(), std::back_inserter(exec_order));
(void)std::copy(memcpy_list.begin(), memcpy_list.end(), std::back_inserter(exec_order));
exec_order.push_back(first_stream_active_app);
(void)std::copy(after_list.begin(), after_list.end(), std::back_inserter(exec_order));
exec_order.push_back(second_stream_active_app);
kernel_graph_ptr->set_execution_order(exec_order);
}
void KernelAdjust::CreateSwitchOpParameters(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
std::map<std::string, mindspore::ParameterPtr> *switch_loop_input) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(switch_loop_input);
std::vector<int> shp = {1};
tensor::TensorPtr tensor_ptr = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp);
MS_EXCEPTION_IF_NULL(tensor_ptr);
mindspore::abstract::AbstractBasePtr paremeter_abstract_ptr = tensor_ptr->ToAbstract();
if (paremeter_abstract_ptr == nullptr) {
MS_LOG(EXCEPTION) << "create abstract before insert switch op failed!";
}
ParameterPtr loop_count = std::make_shared<Parameter>(kernel_graph_ptr);
MS_EXCEPTION_IF_NULL(loop_count);
loop_count->set_name(kLoopCountParamName);
loop_count->set_abstract(paremeter_abstract_ptr);
ParameterPtr loop_count_new = kernel_graph_ptr->NewParameter(loop_count);
(*switch_loop_input)[kLoopCountParamName] = loop_count_new;
ParameterPtr iter_loop = std::make_shared<Parameter>(kernel_graph_ptr);
iter_loop->set_name(kIterLoopParamName);
iter_loop->set_abstract(paremeter_abstract_ptr);
ParameterPtr iter_loop_new = kernel_graph_ptr->NewParameter(iter_loop);
(*switch_loop_input)[kIterLoopParamName] = iter_loop_new;
ParameterPtr zero = std::make_shared<Parameter>(kernel_graph_ptr);
zero->set_name(kZeroParamName);
zero->set_abstract(paremeter_abstract_ptr);
ParameterPtr zero_new = kernel_graph_ptr->NewParameter(zero);
(*switch_loop_input)[kZeroParamName] = zero_new;
ParameterPtr one = std::make_shared<Parameter>(kernel_graph_ptr);
one->set_name(kOneParamName);
one->set_abstract(paremeter_abstract_ptr);
ParameterPtr one_new = kernel_graph_ptr->NewParameter(one);
(*switch_loop_input)[kOneParamName] = one_new;
}
kernel::KernelBuildInfo::KernelBuildInfoBuilder KernelAdjust::CreateMngKernelBuilder(
const std::vector<std::string> &formats, const std::vector<TypeId> &type_ids) {
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetInputsFormat(formats);
selected_kernel_builder.SetInputsDeviceType(type_ids);
selected_kernel_builder.SetFusionType(kernel::FusionType::OPAQUE);
selected_kernel_builder.SetProcessor(kernel::Processor::AICORE);
selected_kernel_builder.SetKernelType(KernelType::RT_KERNEL);
return selected_kernel_builder;
}
CNodePtr KernelAdjust::CreateStreamSwitchOp(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input) {
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32});
auto typeNone_abstract = std::make_shared<abstract::AbstractNone>();
auto stream_switch = std::make_shared<Primitive>(kStreamSwitchOpName);
std::vector<AnfNodePtr> inputs;
inputs.push_back(NewValueNode(stream_switch));
inputs.push_back(switch_loop_input.at(kLoopCountParamName));
inputs.push_back(switch_loop_input.at(kIterLoopParamName));
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
CNodePtr stream_switch_app = kernel_graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(stream_switch_app);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), stream_switch_app.get());
stream_switch_app->set_abstract(typeNone_abstract);
// set attr: cond_ RT_LESS
int condition = static_cast<int>(RT_LESS);
ValuePtr cond = MakeValue(condition);
AnfAlgo::SetNodeAttr(kAttrSwitchCondition, cond, stream_switch_app);
// set attr:data_type
int data_type = static_cast<int>(RT_SWITCH_INT64);
ValuePtr dt = MakeValue(data_type);
AnfAlgo::SetNodeAttr(kAttrDataType, dt, stream_switch_app);
// set distinction label and graph id
return stream_switch_app;
}
CNodePtr KernelAdjust::CreateStreamActiveOp(const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32});
abstract::AbstractBasePtr typeNone_abstract = std::make_shared<abstract::AbstractNone>();
auto stream_active_others = std::make_shared<Primitive>(kStreamActiveOpName);
std::vector<AnfNodePtr> inputs;
inputs.push_back(NewValueNode(stream_active_others));
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
CNodePtr stream_active_others_app = kernel_graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(stream_active_others_app);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), stream_active_others_app.get());
stream_active_others_app->set_abstract(typeNone_abstract);
return stream_active_others_app;
}
CNodePtr KernelAdjust::CreateStreamAssignAddnOP(
const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr,
const std::map<std::string, mindspore::ParameterPtr> &switch_loop_input) {
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder = CreateMngKernelBuilder(
{kOpFormat_DEFAULT, kOpFormat_DEFAULT}, {TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32});
selected_kernel_builder.SetOutputsFormat({kOpFormat_DEFAULT});
selected_kernel_builder.SetOutputsDeviceType({kNumberTypeInt32});
// AssignAdd
auto assign_add = std::make_shared<Primitive>(kAssignAddOpName);
std::vector<AnfNodePtr> inputs;
inputs.push_back(NewValueNode(assign_add));
inputs.push_back(switch_loop_input.at(kLoopCountParamName));
inputs.push_back(switch_loop_input.at(kOneParamName));
CNodePtr assign_add_one = kernel_graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(assign_add_one);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), assign_add_one.get());
std::vector<std::string> input_names = {"ref", "value"};
std::vector<std::string> output_names = {"output"};
ValuePtr input_names_v = MakeValue(input_names);
ValuePtr output_names_v = MakeValue(output_names);
AnfAlgo::SetNodeAttr("input_names", input_names_v, assign_add_one);
AnfAlgo::SetNodeAttr("output_names", output_names_v, assign_add_one);
selected_kernel_builder.SetKernelType(KernelType::TBE_KERNEL);
MS_EXCEPTION_IF_NULL(switch_loop_input.at(kLoopCountParamName));
assign_add_one->set_abstract(switch_loop_input.at(kLoopCountParamName)->abstract());
return assign_add_one;
}
bool KernelAdjust::StepLoadCtrlInputs(const std::shared_ptr<session::Context> &context,
const std::shared_ptr<session::KernelGraph> &kernel_graph_ptr) {
if (!NeedInsertSwitch()) {
return true;
}
MS_EXCEPTION_IF_NULL(context);
MS_EXCEPTION_IF_NULL(kernel_graph_ptr);
auto input_nodes = kernel_graph_ptr->inputs();
std::vector<tensor::TensorPtr> inputs;
LoadSwitchInputs(&inputs);
std::shared_ptr<std::vector<tensor::TensorPtr>> inputsPtr = std::make_shared<std::vector<tensor::TensorPtr>>(inputs);
context->SetResult(session::kInputCtrlTensors, inputsPtr);
size_t input_ctrl_size = inputs.size();
// inputs_node:include four ctrl nodes in the back. such as:conv,loop_cnt, ites_loop, zero, one.
// deal four ctrl nodes.
for (size_t i = 0; i < inputs.size(); ++i) {
auto tensor = inputs[i];
size_t deal_index = input_nodes.size() - input_ctrl_size + i;
if (deal_index >= input_nodes.size()) {
MS_LOG(EXCEPTION) << "deal_index[" << deal_index << "] out of range";
}
auto input_node = input_nodes[deal_index];
bool need_sync = false;
MS_EXCEPTION_IF_NULL(input_node);
if (input_node->isa<Parameter>()) {
auto pk_node = input_node->cast<ParameterPtr>();
MS_EXCEPTION_IF_NULL(tensor);
MS_EXCEPTION_IF_NULL(pk_node);
if (tensor->is_dirty() || !pk_node->has_default()) {
need_sync = true;
}
}
if (need_sync) {
auto pk_node = input_node->cast<ParameterPtr>();
MS_EXCEPTION_IF_NULL(pk_node);
auto device_address = AnfAlgo::GetMutableOutputAddr(pk_node, 0);
MS_EXCEPTION_IF_NULL(device_address);
tensor->set_device_address(device_address);
if (!device_address->SyncHostToDevice(trans::GetRuntimePaddingShape(pk_node, 0),
LongToSize(tensor->data().nbytes()), tensor->data_type(),
tensor->data_c(false))) {
MS_LOG(INFO) << "SyncHostToDevice failed.";
return false;
}
}
tensor->set_dirty(false);
}
return true;
}
void KernelAdjust::LoadSwitchInputs(std::vector<tensor::TensorPtr> *inputs) {
MS_LOG(INFO) << "---------------- LoadSwitchInputs---";
MS_EXCEPTION_IF_NULL(inputs);
std::vector<int> shp = {1};
tensor::TensorPtr loop_count_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp);
MS_EXCEPTION_IF_NULL(loop_count_tensor);
int32_t *val = nullptr;
val = static_cast<int32_t *>(loop_count_tensor->data_c(true));
MS_EXCEPTION_IF_NULL(val);
*val = 0;
inputs->push_back(loop_count_tensor);
tensor::TensorPtr iter_loop_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp);
MS_EXCEPTION_IF_NULL(iter_loop_tensor);
val = static_cast<int32_t *>(iter_loop_tensor->data_c(true));
MS_EXCEPTION_IF_NULL(val);
*val = SizeToInt(LongToSize(ConfigManager::GetInstance().iter_num()));
MS_LOG(INFO) << "iter_loop_tensor = " << *val;
inputs->push_back(iter_loop_tensor);
tensor::TensorPtr zero_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp);
MS_EXCEPTION_IF_NULL(zero_tensor);
val = static_cast<int32_t *>(zero_tensor->data_c(true));
MS_EXCEPTION_IF_NULL(val);
*val = 0;
inputs->push_back(zero_tensor);
tensor::TensorPtr one_tensor = std::make_shared<tensor::Tensor>(kInt32->type_id(), shp);
MS_EXCEPTION_IF_NULL(one_tensor);
val = static_cast<int32_t *>(one_tensor->data_c(true));
MS_EXCEPTION_IF_NULL(val);
*val = 1;
inputs->push_back(one_tensor);
MS_LOG(INFO) << "---------------- LoadSwitchInputs End--";
}
void KernelAdjust::Profiling(NotNull<session::KernelGraph *> kernel_graph_ptr) {
if (!ascend::ProfilingManager::GetInstance().IsProfiling()) {
MS_LOG(INFO) << "No need to profiling";
return;
}
ProfilingTraceInfo profiling_trace_info = ProfilingUtils::GetProfilingTraceFromEnv(kernel_graph_ptr);
if (!profiling_trace_info.IsValid()) {
MS_LOG(WARNING) << "[profiling] no profiling node found!";
return;
}
InsertProfilingKernel(profiling_trace_info, kernel_graph_ptr);
}
void KernelAdjust::InsertProfilingKernel(const ProfilingTraceInfo &profiling_trace_info,
NotNull<session::KernelGraph *> kernel_graph_ptr) {
MS_LOG(INFO) << "[profiling] Insert profiling kernel start";
if (!profiling_trace_info.IsValid()) {
MS_LOG(WARNING) << "Profiling trace point not found";
return;
}
std::vector<CNodePtr> new_cnode_list;
std::vector<CNodePtr> cnode_ptr_list = kernel_graph_ptr->execution_order();
for (const auto &cnode_ptr : cnode_ptr_list) {
ProfilingUtils::ProfilingTraceFpStart(cnode_ptr, profiling_trace_info, kernel_graph_ptr, NOT_NULL(&new_cnode_list));
new_cnode_list.emplace_back(cnode_ptr);
ProfilingUtils::ProfilingCustomOp(cnode_ptr, profiling_trace_info, kernel_graph_ptr, NOT_NULL(&new_cnode_list));
ProfilingUtils::ProfilingTraceBpEnd(cnode_ptr, profiling_trace_info, kernel_graph_ptr, NOT_NULL(&new_cnode_list));
ProfilingUtils::ProfilingTraceEnd(cnode_ptr, profiling_trace_info, kernel_graph_ptr, NOT_NULL(&new_cnode_list));
}
kernel_graph_ptr->set_execution_order(new_cnode_list);
}
} // namespace device
} // namespace mindspore
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