mindspore2022/mindspore/ccsrc/device/ascend/profiling/profiling_utils.cc

265 lines
12 KiB
C++

/**
* Copyright 2019 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 <map>
#include "device/ascend/profiling/profiling_utils.h"
#include "kernel/kernel.h"
#include "device/ascend/profiling/profiling_manager.h"
#include "session/anf_runtime_algorithm.h"
#include "common/utils.h"
#include "utils/utils.h"
namespace mindspore {
namespace device {
namespace ascend {
constexpr uint32_t kMaxProfilingNodeNum = 100;
constexpr char kCustomNode[] = "PROFILING_CUSTOM_";
constexpr char kFpStartNode[] = "PROFILING_FP_START";
constexpr char kBpEndNode[] = "PROFILING_BP_END";
constexpr char kIterEndNode[] = "PROFILING_ITER_END";
std::unordered_map<uint32_t, std::vector<std::string>> ProfilingUtils::graph_kernel_name_;
uint32_t ProfilingUtils::custom_node_index_ = 1;
ProfilingTraceInfo ProfilingUtils::GetProfilingTraceFromEnv(NotNull<session::KernelGraph *> graph_ptr) {
MS_LOG(INFO) << "get env start";
custom_node_index_ = 1;
auto &cnode_exec_order = graph_ptr->execution_order();
ProfilingTraceInfo profiling_trace;
profiling_trace.trace_begin = GetTraceBegin(cnode_exec_order);
profiling_trace.trace_bp_end = GetTraceBpEnd(cnode_exec_order);
profiling_trace.trace_netoutput = GetTraceNetoutput(cnode_exec_order);
for (uint32_t i = 1; i <= kMaxProfilingNodeNum; ++i) {
std::string env_str = std::string(kCustomNode) + std::to_string(i);
const char *node_full_name = std::getenv(env_str.c_str());
if (node_full_name == nullptr) {
break;
}
MS_LOG(INFO) << "Get profiling node:" << node_full_name;
profiling_trace.trace_custom_node.insert(node_full_name);
}
MS_LOG(INFO) << "get env end";
GetTraceHccl(cnode_exec_order, NOT_NULL(&profiling_trace));
MS_LOG(INFO) << "[profiling]trace_begin:" << profiling_trace.trace_begin
<< " trace_bp_end:" << profiling_trace.trace_bp_end
<< " trace_netoutput:" << profiling_trace.trace_netoutput;
return profiling_trace;
}
void ProfilingUtils::GetTraceHccl(const std::vector<CNodePtr> &cnode_exec_order,
NotNull<ProfilingTraceInfo *> profiling_trace) {
for (const auto &node : cnode_exec_order) {
if (AnfAlgo::IsCommunicationOp(node)) {
MS_EXCEPTION_IF_NULL(node);
profiling_trace->trace_custom_node.insert(node->fullname_with_scope());
MS_LOG(INFO) << "[profiling]Get hccl node:" << node->fullname_with_scope();
}
}
}
std::string ProfilingUtils::GetTraceBegin(const std::vector<CNodePtr> &cnode_exec_order) {
const char *trace_begin = std::getenv(kFpStartNode);
auto &first_cnode = cnode_exec_order.front();
MS_EXCEPTION_IF_NULL(first_cnode);
return trace_begin == nullptr ? first_cnode->fullname_with_scope() : std::string(trace_begin);
}
std::string ProfilingUtils::GetTraceBpEnd(const std::vector<CNodePtr> &cnode_exec_order) {
const char *trace_bp_end = std::getenv(kBpEndNode);
if (trace_bp_end != nullptr) {
return std::string(trace_bp_end);
}
std::string bp_end_str = "";
// Contain hccl kernel
auto iter = cnode_exec_order.rbegin();
while (iter != cnode_exec_order.rend()) {
if (AnfAlgo::IsCommunicationOp(*iter)) {
// store communication op input nodes' name
std::set<std::string> ar_input_node_names;
for (size_t i = 0; i < AnfAlgo::GetInputTensorNum(*iter); ++i) {
auto input_node_with_index = AnfAlgo::GetPrevNodeOutput(*iter, i);
auto input_node = input_node_with_index.first;
ar_input_node_names.insert(input_node->fullname_with_scope());
}
// start from previous node
++iter;
// find input names in previous node
while (iter != cnode_exec_order.rend()) {
if (ar_input_node_names.find((*iter)->fullname_with_scope()) != ar_input_node_names.end()) {
bp_end_str = (*iter)->fullname_with_scope();
break;
}
++iter;
}
break;
}
++iter;
}
if (bp_end_str.empty()) {
auto last_cnode = cnode_exec_order.back();
MS_EXCEPTION_IF_NULL(last_cnode);
bp_end_str = last_cnode->fullname_with_scope();
}
return bp_end_str;
}
std::string ProfilingUtils::GetTraceNetoutput(const std::vector<CNodePtr> &cnode_exec_order) {
const char *trace_netoutput = std::getenv(kIterEndNode);
auto &last_cnode = cnode_exec_order.back();
MS_EXCEPTION_IF_NULL(last_cnode);
return trace_netoutput == nullptr ? last_cnode->fullname_with_scope() : std::string(trace_netoutput);
}
NotNull<CNodePtr> ProfilingUtils::CreateProfilingCNode(const ProfilingContent &profiling_content,
NotNull<session::KernelGraph *> graph_ptr) {
kernel::KernelBuildInfo::KernelBuildInfoBuilder selected_kernel_builder;
selected_kernel_builder.SetInputsFormat({kOpFormat_DEFAULT, kOpFormat_DEFAULT});
selected_kernel_builder.SetInputsDeviceType({TypeId::kNumberTypeInt32, TypeId::kNumberTypeInt32});
selected_kernel_builder.SetFusionType(kernel::FusionType::OPAQUE);
selected_kernel_builder.SetProcessor(kernel::Processor::AICORE);
selected_kernel_builder.SetKernelType(KernelType::RT_KERNEL);
abstract::AbstractBasePtr type_none_abstract = std::make_shared<abstract::AbstractNone>();
auto primitive = std::make_shared<Primitive>(ProfilingUtils::kProfiling);
std::vector<AnfNodePtr> inputs;
inputs.emplace_back(NewValueNode(primitive));
CNodePtr cnode_ptr = graph_ptr->NewCNode(inputs);
MS_EXCEPTION_IF_NULL(cnode_ptr);
AnfAlgo::SetSelectKernelBuildInfo(selected_kernel_builder.Build(), cnode_ptr.get());
cnode_ptr->set_abstract(type_none_abstract);
// set attr
ValuePtr notify_value = MakeValue(profiling_content.notify);
ValuePtr trace_id_value = MakeValue(profiling_content.profiler_trace_id);
ValuePtr flags_value = MakeValue(profiling_content.flags);
AnfAlgo::SetNodeAttr(ProfilingUtils::kNotify, notify_value, cnode_ptr);
AnfAlgo::SetNodeAttr(ProfilingUtils::kProfilerTraceId, trace_id_value, cnode_ptr);
AnfAlgo::SetNodeAttr(ProfilingUtils::kFlags, flags_value, cnode_ptr);
return NOT_NULL(cnode_ptr);
}
void ProfilingUtils::ProfilingTraceFpStart(const mindspore::AnfNodePtr &anf_node,
const ProfilingTraceInfo &profiling_trace_info,
NotNull<session::KernelGraph *> graph_ptr,
NotNull<std::vector<mindspore::CNodePtr> *> kernel_list) {
if (profiling_trace_info.trace_begin == anf_node->fullname_with_scope()) {
MS_LOG(INFO) << "Profiling Match FpStart:" << profiling_trace_info.trace_begin;
auto job_id = ProfilingManager::GetInstance().GetJobId();
ProfilingContent job_profiling_context = {false, job_id, 0};
auto job_profiling_node = CreateProfilingCNodeWithStream(anf_node, job_profiling_context, graph_ptr);
kernel_list->emplace_back(job_profiling_node);
ProfilingContent fp_profiling_content = {false, kProfilingFpStartLogId, 0};
auto fp_profiling_node = CreateProfilingCNodeWithStream(anf_node, fp_profiling_content, graph_ptr);
kernel_list->emplace_back(fp_profiling_node);
}
}
CNodePtr ProfilingUtils::CreateProfilingCNodeWithStream(const mindspore::AnfNodePtr &anf_node,
const ProfilingContent &profiling_content,
NotNull<session::KernelGraph *> graph_ptr) {
CNodePtr profiling_node = CreateProfilingCNode(profiling_content, graph_ptr);
AnfAlgo::SetStreamDistinctionLabel(AnfAlgo::GetStreamDistinctionLabel(anf_node.get()), profiling_node.get());
AnfAlgo::SetStreamId(AnfAlgo::GetStreamId(anf_node), profiling_node.get());
return profiling_node;
}
void ProfilingUtils::ProfilingCustomOp(const AnfNodePtr &anf_node, const ProfilingTraceInfo &profiling_trace_info,
NotNull<session::KernelGraph *> graph_ptr,
NotNull<std::vector<CNodePtr> *> kernel_list) {
MS_EXCEPTION_IF_NULL(anf_node);
auto iter = profiling_trace_info.trace_custom_node.find(anf_node->fullname_with_scope());
if (iter == profiling_trace_info.trace_custom_node.end()) {
return;
}
MS_LOG(INFO) << "Profiling Match CustomOp:" << anf_node->fullname_with_scope();
// custom op profiling job start from 3.
ProfilingContent front_profiling_content = {false, 2 * custom_node_index_ + 1, 0};
CNodePtr front_node = CreateProfilingCNodeWithStream(anf_node, front_profiling_content, graph_ptr);
kernel_list->insert(kernel_list->end() - 1, front_node);
ProfilingContent back_profiling_content = {false, 2 * custom_node_index_ + 2, 0};
CNodePtr back_node = CreateProfilingCNodeWithStream(anf_node, back_profiling_content, graph_ptr);
kernel_list->insert(kernel_list->end(), back_node);
++custom_node_index_;
}
void ProfilingUtils::ProfilingTraceBpEnd(const AnfNodePtr &anf_node, const ProfilingTraceInfo &profiling_trace_info,
NotNull<session::KernelGraph *> graph_ptr,
NotNull<std::vector<CNodePtr> *> kernel_list) {
MS_EXCEPTION_IF_NULL(anf_node);
if (profiling_trace_info.trace_bp_end == anf_node->fullname_with_scope()) {
MS_LOG(INFO) << "Profiling Match BpEnd:" << profiling_trace_info.trace_bp_end;
ProfilingContent bp_end_profiling_content = {false, kProfilingBpEndLogId, 0};
CNodePtr bp_end_node = CreateProfilingCNodeWithStream(anf_node, bp_end_profiling_content, graph_ptr);
kernel_list->emplace_back(bp_end_node);
}
}
void ProfilingUtils::ProfilingTraceEnd(const AnfNodePtr &anf_node, const ProfilingTraceInfo &profiling_trace_info,
NotNull<session::KernelGraph *> graph_ptr,
NotNull<std::vector<mindspore::CNodePtr> *> kernel_list) {
MS_EXCEPTION_IF_NULL(anf_node);
auto full_scope_name = anf_node->fullname_with_scope();
if (profiling_trace_info.trace_netoutput == full_scope_name) {
MS_LOG(INFO) << "Profiling Match IterEnd:" << profiling_trace_info.trace_netoutput;
ProfilingContent bp_end_profiling_content = {true, kProfilingIterEndLogId, 0};
CNodePtr bp_kernel_ptr = CreateProfilingCNodeWithStream(anf_node, bp_end_profiling_content, graph_ptr);
kernel_list->emplace_back(bp_kernel_ptr);
}
}
void ProfilingUtils::SetGraphKernelName(uint32_t graph_id, const std::vector<std::string> &kernel_names) {
auto iter = graph_kernel_name_.find(graph_id);
if (iter == graph_kernel_name_.end()) {
graph_kernel_name_[graph_id] = kernel_names;
} else {
MS_LOG(ERROR) << "[profiling]graph kernel names already exist";
}
}
void ProfilingUtils::ReportProfilingData(uint32_t graph_id, const std::vector<uint32_t> &task_ids) {
auto iter = graph_kernel_name_.find(graph_id);
if (iter == graph_kernel_name_.end()) {
MS_LOG(ERROR) << "[profiling]graph id " << graph_id << " not in graph_kernel_name_";
return;
}
auto &kernel_names = iter->second;
MS_LOG(INFO) << "kernel_names size:" << kernel_names.size() << ", task_ids size:" << task_ids.size();
if (kernel_names.size() != task_ids.size()) {
MS_LOG(ERROR) << "[profiling]kernel name and task id not match";
return;
}
std::map<uint32_t, std::string> op_task_id_map;
size_t size = kernel_names.size();
for (size_t i = 0; i < size; ++i) {
auto it = op_task_id_map.find(task_ids[i]);
if (it != op_task_id_map.end()) {
MS_LOG(WARNING) << "task_id " << task_ids[i] << " exist, " << kernel_names[i];
continue;
}
op_task_id_map[task_ids[i]] = kernel_names[i];
}
if (!ProfilingManager::GetInstance().ReportProfilingData(op_task_id_map)) {
MS_LOG(ERROR) << "ReportProfilingData failed";
}
}
} // namespace ascend
} // namespace device
} // namespace mindspore