forked from huawei/mindspore2022
131 lines
6.5 KiB
C++
131 lines
6.5 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef MINDSPORE_MINDSPORE_CCSRC_DEVICE_ASCEND_PROFILING_PROFILING_UTILS_H_
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#define MINDSPORE_MINDSPORE_CCSRC_DEVICE_ASCEND_PROFILING_PROFILING_UTILS_H_
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#include <memory>
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#include <string>
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#include <vector>
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#include <set>
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#include <unordered_map>
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#include "session/kernel_graph.h"
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#include "utils/contract.h"
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namespace mindspore {
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namespace device {
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namespace ascend {
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struct ProfilingTraceInfo {
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// execute order's first execute op(like: Cast or Four2Five ...), except tdt op(GetNext ...)
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std::string trace_begin;
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// get first net_output(apply kernel) from graph outputs: fp ->net_output<- bp
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std::string trace_bp_end;
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// execute order's end execute (like: Conv2DBackpropFilter)
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std::string trace_netoutput;
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// profiling specific op, such as AllReduce;
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std::set<std::string> trace_custom_node;
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// 1. insert profiling_trace_begin if profiling_trace_bp_end is not empty.
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// 2. op lanuch get task info with callback func.
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// 3. insert profiling_trace_bp_end.
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// 4. insert profiling_trace_net_output if profiling_trace_bp_end is not empty.
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bool IsValid() const { return !(trace_begin.empty() || trace_netoutput.empty()); }
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};
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struct ProfilingContent {
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// true -send data from device to host and finish profiling
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bool notify;
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uint64_t profiler_trace_id;
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uint32_t flags;
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};
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class ProfilingUtils {
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public:
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ProfilingUtils() = default;
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~ProfilingUtils() = default;
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// Insert job_id profiling node and fp_start profiling node.
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// Job_id is got from envs, which shound be a number greater than 255
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// Fp_start node should been inserted in the start of a network, and the log_id is hard code to 1.
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static void ProfilingTraceFpStart(const AnfNodePtr &anf_node, const ProfilingTraceInfo &profiling_trace_info,
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NotNull<session::KernelGraph *> graph_ptr,
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NotNull<std::vector<CNodePtr> *> kernel_list);
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static void ProfilingTraceJobId(const AnfNodePtr &anf_node, NotNull<session::KernelGraph *> graph_ptr,
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NotNull<std::vector<CNodePtr> *> kernel_list);
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// Insert net output profiling node, which tells the device to stop profiling.
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// The notify in struct ProfilingContent should be 'true', which tells the device to send data to host.
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static void ProfilingTraceEnd(const AnfNodePtr &anf_node, const ProfilingTraceInfo &profiling_trace_info,
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NotNull<session::KernelGraph *> graph_ptr,
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NotNull<std::vector<CNodePtr> *> kernel_list);
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// Insert bp_end profiling node, which should been inserted after the last backpropagation CNode in the network.
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static void ProfilingTraceBpEnd(const mindspore::AnfNodePtr &anf_node, const ProfilingTraceInfo &profiling_trace_info,
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NotNull<session::KernelGraph *> graph_ptr,
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NotNull<std::vector<mindspore::CNodePtr> *> kernel_list);
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// Mapping graph id and the kernels' name in the graph
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static void SetGraphKernelName(uint32_t graph_id, const std::vector<std::string> &kernel_names);
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// Mapping task_id and kernel name for device to generate the time cost of specific kernel.
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// Device calculate the time cost of the task which is marked by task id.
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// But we need data of (kernel name , time cost)
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static void ReportProfilingData(uint32_t graph_id, const std::vector<uint32_t> &task_ids);
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// Get profiling trace point from envs.
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// export PROFILING_FP_START='full name of the first cnode to execute'
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// export PROFILING_BP_END='full name of the last backpropagation cnode to execute'
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// export PROFILING_ITER_END='full name of last cnode in graph to execute'
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// And other cnode, like AllReduce, export PROFILING_CUSTOM_1='full name of AllReduce cnode'
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// GetNext, export PROFIFLING_CUSTOM_2='full name fo GetNext cnode'
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// The variable i in PROFILING_CUSTOM_i should start from 1 without interruption.
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static ProfilingTraceInfo GetProfilingTraceFromEnv(NotNull<const session::KernelGraph *> graph_ptr);
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// Insert two profiling trace points, one in front and one behind
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static void ProfilingCustomOp(const mindspore::AnfNodePtr &anf_node, const ProfilingTraceInfo &profiling_trace_info,
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NotNull<session::KernelGraph *> graph_ptr,
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NotNull<std::vector<mindspore::CNodePtr> *> kernel_list);
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inline static constexpr char kProfiling[] = "Profiling";
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inline static constexpr char kNotify[] = "notify";
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inline static constexpr char kProfilerTraceId[] = "profiler_trace_id";
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inline static constexpr char kFlags[] = "flags";
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private:
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static NotNull<CNodePtr> CreateProfilingCNode(const ProfilingContent &profiling_content,
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NotNull<session::KernelGraph *> graph_ptr);
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static CNodePtr CreateProfilingCNodeWithStream(const AnfNodePtr &anf_node, const ProfilingContent &profiling_content,
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NotNull<session::KernelGraph *> graph_ptr);
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static std::string GetTraceBegin(const std::vector<CNodePtr> &cnode_exec_order);
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static std::string GetTraceBpEnd(const std::vector<CNodePtr> &cnode_exec_order);
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static std::string GetTraceNetoutput(const std::vector<CNodePtr> &cnode_exec_order);
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static std::string GetGraphLastTbeKernelName(const std::vector<CNodePtr> &cnode_exec_order);
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static void GetTraceHccl(const std::vector<CNodePtr> &cnode_exec_order,
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NotNull<ProfilingTraceInfo *> profiling_trace);
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static void GetCNodeOutputRealNode(const std::string &node_name, const std::vector<CNodePtr> &cnode_exec_order,
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NotNull<std::set<std::string> *> getnext_outputs);
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// graph id --> (kernel name list)
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static std::unordered_map<uint32_t, std::vector<std::string>> graph_kernel_name_;
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static uint32_t custom_node_index_;
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};
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} // namespace ascend
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} // namespace device
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} // namespace mindspore
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#endif // MINDSPORE_MINDSPORE_CCSRC_DEVICE_ASCEND_PROFILING_PROFILING_UTILS_H_
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