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257 lines (218 loc) · 7.51 KB
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// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.
using System;
using System.Text;
using System.Threading;
namespace Microsoft.ML.Trainers.FastTree.Internal
{
using Stopwatch = System.Diagnostics.Stopwatch;
public enum TimerEvent
{
TotalInitialization,
TotalTrain,
TotalSave,
Iteration,
Test,
InitializeLoadDatasets,
InitializeLabels,
InitializeFirstInput,
InitializeTraining,
InitializeTests,
NewPhasePreparation,
ObjectiveFunctionGetDerivatives,
TreeLearnerGetTree,
TreeLearnerSyncTree,
TreeLearnerAdjustTreeOutputs,
GradientBoostingAddOutputsToScores,
UpdateScores,
FindBestSplit,
FindBestSplitOfRoot,
FindBestSplitOfSiblings,
FindBestSplitInit,
DocumentPartitioningConstruction,
DocumentPartitioningSplit,
CalculateLeafSplitCandidates,
AnyThreadTask,
AllThreadTask,
ConcatBins,
SparseConstruction,
LoadFeature,
ReadBytes,
ConstructFromByteArray,
Sumup,
SumupDense10,
SumupCppDense,
SumupSparse,
SumupRepeat,
SumupSegment,
AdHocTesting,
ThresholdFinding,
HistogramSyncup,
HistogramSyncUpStaging1,
HistogramSyncUpStaging2,
HistogramSyncUpStaging3,
FeatureVectorAggregation,
FirstRoundAggregation,
FirstRoundAggregationPerFeature,
FirstRoundBroadcastSplitInfo,
SecondRoundAggregation,
SecondRoundAggregationPerFeature,
SecondRoundBroadcastSplitInfo,
MessageSerialize,
MessageDeserialize,
NetBroadcast,
NetSending,
NetReceiving,
DataSend,
DataReceive,
DataWaitForDeserialization,
OnReceivedData,
// For parallel fasttree in TLC++
NetworkSend,
NetworkReceive,
AllGather,
ReduceScatter,
AllReduce,
GlobalFeatureBinSync,
GlobalHistogramMerge,
GlobalBestSplitSync,
GlobalMeanForLeafOutput,
GlobalVoting,
HistogramCaching
}
public enum CountEvent
{
NetworkSend,
NetworkReceive,
AllGather,
ReduceScatter,
AllReduce,
GlobalFeatureBinSync,
GlobalHistogramMerge,
GlobalBestSplitSync,
GlobalMeanForLeafOutput,
GlobalVoting
}
/// <summary>
/// Static class for timing events.
/// </summary>
public static class Timer
{
private static TimerState _state;
private sealed class TimerState
{
public readonly Stopwatch Watch;
public readonly long[] TickTotals;
public readonly int[] NumCalls;
public readonly int MaxEventNameLen;
public readonly long[] CountTotals;
public TimerState()
{
TickTotals = new long[Enum.GetValues(typeof(TimerEvent)).Length];
CountTotals = new long[Enum.GetValues(typeof(CountEvent)).Length];
Watch = new Stopwatch();
Watch.Start();
NumCalls = new int[TickTotals.Length];
foreach (string name in Enum.GetNames(typeof(TimerEvent)))
{
if (name.Length > MaxEventNameLen)
MaxEventNameLen = name.Length;
}
foreach (string name in Enum.GetNames(typeof(CountEvent)))
{
if (name.Length > MaxEventNameLen)
MaxEventNameLen = name.Length;
}
}
/// <summary>
/// Gets a string summary of the total times.
/// </summary>
public override string ToString()
{
var sb = new StringBuilder();
long total = Watch.ElapsedTicks;
string padded = "Name".PadRight(MaxEventNameLen);
sb.AppendFormat("{0} {1,10}{2,10}{3,8}{4,11}\n", padded, "Time", "%", "#Calls", "Time/Call");
foreach (TimerEvent n in Enum.GetValues(typeof(TimerEvent)))
{
double time = (double)TickTotals[(int)n] / Stopwatch.Frequency;
int numCalls = NumCalls[(int)n];
double perc = 100.0 * (double)TickTotals[(int)n] / total;
double timePerCall = (numCalls > 0) ? time / numCalls : 0;
padded = n.ToString().PadRight(MaxEventNameLen);
sb.AppendFormat("{0} {1,10:0.000}{2,9:00.00}%{3,8}{4,11:0.000}\n", padded, time, perc, numCalls, timePerCall);
}
sb.AppendFormat("Count Statistics:\n");
padded = "Name".PadRight(MaxEventNameLen);
sb.AppendFormat("{0} {1,10}\n", padded, "Accumulate");
foreach (CountEvent n in Enum.GetValues(typeof(CountEvent)))
{
double count = _state.CountTotals[(int)n];
padded = n.ToString().PadRight(MaxEventNameLen);
sb.AppendFormat("{0} {1,10}\n", padded, count);
}
return sb.ToString();
}
}
/// <summary>
/// Returns the total number of CPU ticks spent in the specified timer so far.
/// </summary>
internal static long GetTicks(TimerEvent e)
{
return _state.TickTotals == null ? 0 : _state.TickTotals[(int)e];
}
public static long GetCounts(CountEvent e)
{
return _state.CountTotals[(int)e];
}
private static void EnsureValid()
{
if (_state == null)
Interlocked.CompareExchange(ref _state, new TimerState(), null);
}
/// <summary>
/// Creates a timed event which, when disposed, adds to the total time of that event type.
/// </summary>
/// <param name="e">The type of event</param>
/// <returns>A timed event</returns>
public static TimedEvent Time(TimerEvent e)
{
EnsureValid();
return new TimedEvent(_state.Watch.ElapsedTicks, e);
}
public static void Count(long counts, CountEvent e)
{
Interlocked.Add(ref _state.CountTotals[(int)e], counts);
}
/// <summary>
/// An object which, when disposed, adds to the total time of that event type.
/// </summary>
public sealed class TimedEvent : IDisposable
{
private readonly long _ticksBegin;
private readonly TimerEvent _event;
public TimedEvent(long ticks, TimerEvent evt)
{
_ticksBegin = ticks;
_event = evt;
}
#region IDisposable Members
void IDisposable.Dispose()
{
Interlocked.Add(ref _state.TickTotals[(int)_event], _state.Watch.ElapsedTicks - _ticksBegin);
Interlocked.Increment(ref _state.NumCalls[(int)_event]);
}
#endregion
}
/// <summary>
/// Gets a string summary of the total times.
/// </summary>
/// <returns></returns>
public static string GetString()
{
EnsureValid();
return _state.ToString();
}
}
}