/
Parameters.cs
667 lines (584 loc) · 24.2 KB
/
Parameters.cs
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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.Collections.Generic;
using System.Globalization;
using System.Linq;
using System.Text.RegularExpressions;
using Microsoft.ML;
using Microsoft.ML.CommandLine;
using Microsoft.ML.Internal.Utilities;
using Microsoft.ML.Runtime;
using Microsoft.ML.Sweeper;
[assembly: LoadableClass(typeof(LongValueGenerator), typeof(LongParamOptions), typeof(SignatureSweeperParameter),
"Long parameter", "lp")]
[assembly: LoadableClass(typeof(FloatValueGenerator), typeof(FloatParamOptions), typeof(SignatureSweeperParameter),
"Float parameter", "fp")]
[assembly: LoadableClass(typeof(DiscreteValueGenerator), typeof(DiscreteParamOptions), typeof(SignatureSweeperParameter),
"Discrete parameter", "dp")]
namespace Microsoft.ML.Sweeper
{
public delegate void SignatureSweeperParameter();
public abstract class BaseParamOptions
{
[Argument(ArgumentType.Required, HelpText = "Parameter name", ShortName = "n")]
public string Name;
}
public abstract class NumericParamOptions : BaseParamOptions
{
[Argument(ArgumentType.LastOccurenceWins, HelpText = "Number of steps for grid runthrough.", ShortName = "steps")]
public int NumSteps = 100;
[Argument(ArgumentType.LastOccurenceWins, HelpText = "Amount of increment between steps (multiplicative if log).", ShortName = "inc")]
public Double? StepSize = null;
[Argument(ArgumentType.LastOccurenceWins, HelpText = "Log scale.", ShortName = "log")]
public bool LogBase = false;
}
public class FloatParamOptions : NumericParamOptions
{
[Argument(ArgumentType.Required, HelpText = "Minimum value")]
public float Min;
[Argument(ArgumentType.Required, HelpText = "Maximum value")]
public float Max;
}
public class LongParamOptions : NumericParamOptions
{
[Argument(ArgumentType.Required, HelpText = "Minimum value")]
public long Min;
[Argument(ArgumentType.Required, HelpText = "Maximum value")]
public long Max;
}
public class DiscreteParamOptions : BaseParamOptions
{
[Argument(ArgumentType.Multiple, HelpText = "Values", ShortName = "v")]
public string[] Values = null;
}
public sealed class LongParameterValue : IParameterValue<long>
{
private readonly string _name;
private readonly string _valueText;
private readonly long _value;
public string Name
{
get { return _name; }
}
public string ValueText
{
get { return _valueText; }
}
public long Value
{
get { return _value; }
}
public LongParameterValue(string name, long value)
{
_name = name;
_value = value;
_valueText = _value.ToString("D");
}
public bool Equals(IParameterValue other)
{
return Equals((object)other);
}
public override bool Equals(object obj)
{
var lpv = obj as LongParameterValue;
return lpv != null && Name == lpv.Name && _value == lpv._value;
}
public override int GetHashCode()
{
return Hashing.CombinedHash(0, typeof(LongParameterValue), _name, _value);
}
}
public sealed class FloatParameterValue : IParameterValue<float>
{
private readonly string _name;
private readonly string _valueText;
private readonly float _value;
public string Name
{
get { return _name; }
}
public string ValueText
{
get { return _valueText; }
}
public float Value
{
get { return _value; }
}
public FloatParameterValue(string name, float value)
{
Contracts.Check(!float.IsNaN(value));
_name = name;
_value = value;
_valueText = _value.ToString("R");
}
public bool Equals(IParameterValue other)
{
return Equals((object)other);
}
public override bool Equals(object obj)
{
var fpv = obj as FloatParameterValue;
return fpv != null && Name == fpv.Name && _value == fpv._value;
}
public override int GetHashCode()
{
return Hashing.CombinedHash(0, typeof(FloatParameterValue), _name, _value);
}
}
public sealed class StringParameterValue : IParameterValue<string>
{
private readonly string _name;
private readonly string _value;
public string Name
{
get { return _name; }
}
public string ValueText
{
get { return _value; }
}
public string Value
{
get { return _value; }
}
public StringParameterValue(string name, string value)
{
_name = name;
_value = value;
}
public bool Equals(IParameterValue other)
{
return Equals((object)other);
}
public override bool Equals(object obj)
{
var spv = obj as StringParameterValue;
return spv != null && Name == spv.Name && ValueText == spv.ValueText;
}
public override int GetHashCode()
{
return Hashing.CombinedHash(0, typeof(StringParameterValue), _name, _value);
}
}
public interface INumericValueGenerator : IValueGenerator
{
float NormalizeValue(IParameterValue value);
bool InRange(IParameterValue value);
}
/// <summary>
/// The integer type parameter sweep.
/// </summary>
public class LongValueGenerator : INumericValueGenerator
{
private readonly LongParamOptions _options;
private IParameterValue[] _gridValues;
public string Name { get { return _options.Name; } }
public LongValueGenerator(LongParamOptions options)
{
Contracts.Check(options.Min < options.Max, "min must be less than max");
// REVIEW: this condition can be relaxed if we change the math below to deal with it
Contracts.Check(!options.LogBase || options.Min > 0, "min must be positive if log scale is used");
Contracts.Check(!options.LogBase || options.StepSize == null || options.StepSize > 1, "StepSize must be greater than 1 if log scale is used");
Contracts.Check(options.LogBase || options.StepSize == null || options.StepSize > 0, "StepSize must be greater than 0 if linear scale is used");
_options = options;
}
// REVIEW: Is float accurate enough?
public IParameterValue CreateFromNormalized(Double normalizedValue)
{
long val;
if (_options.LogBase)
{
// REVIEW: review the math below, it only works for positive Min and Max
var logBase = !_options.StepSize.HasValue
? Math.Pow(1.0 * _options.Max / _options.Min, 1.0 / (_options.NumSteps - 1))
: _options.StepSize.Value;
var logMax = Math.Log(_options.Max, logBase);
var logMin = Math.Log(_options.Min, logBase);
val = (long)(_options.Min * Math.Pow(logBase, normalizedValue * (logMax - logMin)));
}
else
val = (long)(_options.Min + normalizedValue * (_options.Max - _options.Min));
return new LongParameterValue(_options.Name, val);
}
private void EnsureParameterValues()
{
if (_gridValues != null)
return;
var result = new List<IParameterValue>();
if ((_options.StepSize == null && _options.NumSteps > (_options.Max - _options.Min)) ||
(_options.StepSize != null && _options.StepSize <= 1))
{
for (long i = _options.Min; i <= _options.Max; i++)
result.Add(new LongParameterValue(_options.Name, i));
}
else
{
if (_options.LogBase)
{
// REVIEW: review the math below, it only works for positive Min and Max
var logBase = _options.StepSize ?? Math.Pow(1.0 * _options.Max / _options.Min, 1.0 / (_options.NumSteps - 1));
long prevValue = long.MinValue;
var maxPlusEpsilon = _options.Max * Math.Sqrt(logBase);
for (Double value = _options.Min; value <= maxPlusEpsilon; value *= logBase)
{
var longValue = (long)value;
if (longValue > prevValue)
result.Add(new LongParameterValue(_options.Name, longValue));
prevValue = longValue;
}
}
else
{
var stepSize = _options.StepSize ?? (Double)(_options.Max - _options.Min) / (_options.NumSteps - 1);
long prevValue = long.MinValue;
var maxPlusEpsilon = _options.Max + stepSize / 2;
for (Double value = _options.Min; value <= maxPlusEpsilon; value += stepSize)
{
var longValue = (long)value;
if (longValue > prevValue)
result.Add(new LongParameterValue(_options.Name, longValue));
prevValue = longValue;
}
}
}
_gridValues = result.ToArray();
}
public IParameterValue this[int i]
{
get
{
EnsureParameterValues();
return _gridValues[i];
}
}
public int Count
{
get
{
EnsureParameterValues();
return _gridValues.Length;
}
}
public float NormalizeValue(IParameterValue value)
{
var valueTyped = value as LongParameterValue;
Contracts.Check(valueTyped != null, "LongValueGenerator could not normalized parameter because it is not of the correct type");
Contracts.Check(_options.Min <= valueTyped.Value && valueTyped.Value <= _options.Max, "Value not in correct range");
if (_options.LogBase)
{
float logBase = (float)(_options.StepSize ?? Math.Pow(1.0 * _options.Max / _options.Min, 1.0 / (_options.NumSteps - 1)));
return (float)((Math.Log(valueTyped.Value, logBase) - Math.Log(_options.Min, logBase)) / (Math.Log(_options.Max, logBase) - Math.Log(_options.Min, logBase)));
}
else
return (float)(valueTyped.Value - _options.Min) / (_options.Max - _options.Min);
}
public bool InRange(IParameterValue value)
{
var valueTyped = value as LongParameterValue;
Contracts.Check(valueTyped != null, "Parameter should be of type LongParameterValue");
return (_options.Min <= valueTyped.Value && valueTyped.Value <= _options.Max);
}
public string ToStringParameter(IHostEnvironment env)
{
return $" p=lp{{{CmdParser.GetSettings(env, _options, new LongParamOptions())}}}";
}
}
/// <summary>
/// The floating point type parameter sweep.
/// </summary>
public class FloatValueGenerator : INumericValueGenerator
{
private readonly FloatParamOptions _options;
private IParameterValue[] _gridValues;
public string Name { get { return _options.Name; } }
public FloatValueGenerator(FloatParamOptions options)
{
Contracts.Check(options.Min < options.Max, "min must be less than max");
// REVIEW: this condition can be relaxed if we change the math below to deal with it
Contracts.Check(!options.LogBase || options.Min > 0, "min must be positive if log scale is used");
Contracts.Check(!options.LogBase || options.StepSize == null || options.StepSize > 1, "StepSize must be greater than 1 if log scale is used");
Contracts.Check(options.LogBase || options.StepSize == null || options.StepSize > 0, "StepSize must be greater than 0 if linear scale is used");
_options = options;
}
// REVIEW: Is float accurate enough?
public IParameterValue CreateFromNormalized(Double normalizedValue)
{
float val;
if (_options.LogBase)
{
// REVIEW: review the math below, it only works for positive Min and Max
var logBase = !_options.StepSize.HasValue
? Math.Pow(1.0 * _options.Max / _options.Min, 1.0 / (_options.NumSteps - 1))
: _options.StepSize.Value;
var logMax = Math.Log(_options.Max, logBase);
var logMin = Math.Log(_options.Min, logBase);
val = (float)(_options.Min * Math.Pow(logBase, normalizedValue * (logMax - logMin)));
}
else
val = (float)(_options.Min + normalizedValue * (_options.Max - _options.Min));
return new FloatParameterValue(_options.Name, val);
}
private void EnsureParameterValues()
{
if (_gridValues != null)
return;
var result = new List<IParameterValue>();
if (_options.LogBase)
{
// REVIEW: review the math below, it only works for positive Min and Max
var logBase = _options.StepSize ?? Math.Pow(1.0 * _options.Max / _options.Min, 1.0 / (_options.NumSteps - 1));
float prevValue = float.NegativeInfinity;
var maxPlusEpsilon = _options.Max * Math.Sqrt(logBase);
for (Double value = _options.Min; value <= maxPlusEpsilon; value *= logBase)
{
var floatValue = (float)value;
if (floatValue > prevValue)
result.Add(new FloatParameterValue(_options.Name, floatValue));
prevValue = floatValue;
}
}
else
{
var stepSize = _options.StepSize ?? (Double)(_options.Max - _options.Min) / (_options.NumSteps - 1);
float prevValue = float.NegativeInfinity;
var maxPlusEpsilon = _options.Max + stepSize / 2;
for (Double value = _options.Min; value <= maxPlusEpsilon; value += stepSize)
{
var floatValue = (float)value;
if (floatValue > prevValue)
result.Add(new FloatParameterValue(_options.Name, floatValue));
prevValue = floatValue;
}
}
_gridValues = result.ToArray();
}
public IParameterValue this[int i]
{
get
{
EnsureParameterValues();
return _gridValues[i];
}
}
public int Count
{
get
{
EnsureParameterValues();
return _gridValues.Length;
}
}
public float NormalizeValue(IParameterValue value)
{
var valueTyped = value as FloatParameterValue;
Contracts.Check(valueTyped != null, "FloatValueGenerator could not normalized parameter because it is not of the correct type");
Contracts.Check(_options.Min <= valueTyped.Value && valueTyped.Value <= _options.Max, "Value not in correct range");
if (_options.LogBase)
{
float logBase = (float)(_options.StepSize ?? Math.Pow(1.0 * _options.Max / _options.Min, 1.0 / (_options.NumSteps - 1)));
return (float)((Math.Log(valueTyped.Value, logBase) - Math.Log(_options.Min, logBase)) / (Math.Log(_options.Max, logBase) - Math.Log(_options.Min, logBase)));
}
else
return (valueTyped.Value - _options.Min) / (_options.Max - _options.Min);
}
public bool InRange(IParameterValue value)
{
var valueTyped = value as FloatParameterValue;
Contracts.Check(valueTyped != null, "Parameter should be of type FloatParameterValue");
return (_options.Min <= valueTyped.Value && valueTyped.Value <= _options.Max);
}
public string ToStringParameter(IHostEnvironment env)
{
return $" p=fp{{{CmdParser.GetSettings(env, _options, new FloatParamOptions())}}}";
}
}
/// <summary>
/// The discrete parameter sweep.
/// </summary>
public class DiscreteValueGenerator : IValueGenerator
{
private readonly DiscreteParamOptions _options;
public string Name { get { return _options.Name; } }
public DiscreteValueGenerator(DiscreteParamOptions options)
{
Contracts.Check(options.Values.Length > 0);
_options = options;
}
// REVIEW: Is float accurate enough?
public IParameterValue CreateFromNormalized(Double normalizedValue)
{
return new StringParameterValue(_options.Name, _options.Values[(int)(_options.Values.Length * normalizedValue)]);
}
public IParameterValue this[int i]
{
get
{
return new StringParameterValue(_options.Name, _options.Values[i]);
}
}
public int Count
{
get
{
return _options.Values.Length;
}
}
public string ToStringParameter(IHostEnvironment env)
{
return $" p=dp{{{CmdParser.GetSettings(env, _options, new DiscreteParamOptions())}}}";
}
}
public sealed class SuggestedSweepsParser
{
/// <summary>
/// Generic parameter parser. Currently hand-hacked to auto-detect type.
///
/// Generic form: Name:Values
/// for example, lr:0.05-0.4
/// lambda:0.1-1000@log10
/// nl:2-64@log2
/// norm:-,+
/// </summary>
/// REVIEW: allow overriding auto-detection to specify type
/// and delegate to parameter type for actual parsing
/// REVIEW: specifying ordinal discrete parameters
public bool TryParseParameter(string paramValue, Type paramType, string paramName, out IValueGenerator sweepValues, out string error)
{
sweepValues = null;
error = null;
if (paramValue.Contains(','))
{
var generatorOptions = new DiscreteParamOptions();
generatorOptions.Name = paramName;
generatorOptions.Values = paramValue.Split(',');
sweepValues = new DiscreteValueGenerator(generatorOptions);
return true;
}
// numeric parameter
if (!CmdParser.IsNumericType(paramType))
return false;
// REVIEW: deal with negative bounds
string scaleStr = null;
int atIdx = paramValue.IndexOf('@');
if (atIdx < 0)
atIdx = paramValue.IndexOf(';');
if (atIdx >= 0)
{
scaleStr = paramValue.Substring(atIdx + 1);
paramValue = paramValue.Substring(0, atIdx);
if (scaleStr.Length < 1)
{
error = $"Could not parse sweep range for parameter: {paramName}";
return false;
}
}
// Extract the minimum, and the maximum value of the list of suggested sweeps.
// Positive lookahead splitting at the '-' character.
// It is used for the Float and Long param types.
// Example format: "0.02-0.1;steps:5".
string[] minMaxRegex = Regex.Split(paramValue, "(?<=[^eE])-");
if (minMaxRegex.Length != 2)
{
if (minMaxRegex.Length > 2)
error = $"Could not parse sweep range for parameter: {paramName}";
return false;
}
string minStr = minMaxRegex[0];
string maxStr = minMaxRegex[1];
int numSteps = 100;
Double stepSize = -1;
bool logBase = false;
if (scaleStr != null)
{
try
{
string[] options = scaleStr.Split(';');
bool[] optionsSpecified = new bool[3];
foreach (string option in options)
{
if (option.StartsWith("log") && !option.StartsWith("log-") && !option.StartsWith("log:-"))
{
logBase = true;
optionsSpecified[0] = true;
}
if (option.StartsWith("steps"))
{
numSteps = int.Parse(option.Substring(option.IndexOf(':') + 1));
optionsSpecified[1] = true;
}
if (option.StartsWith("inc"))
{
stepSize = Double.Parse(option.Substring(option.IndexOf(':') + 1), CultureInfo.InvariantCulture);
optionsSpecified[2] = true;
}
}
if (options.Length != optionsSpecified.Count(b => b))
{
error = $"Could not parse sweep range for parameter: {paramName}";
return false;
}
}
catch (Exception e)
{
error = $"Error creating sweep generator for parameter '{paramName}': {e.Message}";
return false;
}
}
if (paramType == typeof(UInt16)
|| paramType == typeof(UInt32)
|| paramType == typeof(UInt64)
|| paramType == typeof(short)
|| paramType == typeof(int)
|| paramType == typeof(long))
{
long min;
long max;
if (!long.TryParse(minStr, out min) || !long.TryParse(maxStr, out max))
return false;
var generatorOptions = new Microsoft.ML.Sweeper.LongParamOptions();
generatorOptions.Name = paramName;
generatorOptions.Min = min;
generatorOptions.Max = max;
generatorOptions.NumSteps = numSteps;
generatorOptions.StepSize = (stepSize > 0 ? stepSize : new Nullable<Double>());
generatorOptions.LogBase = logBase;
try
{
sweepValues = new LongValueGenerator(generatorOptions);
}
catch (Exception e)
{
error = $"Error creating sweep generator for parameter '{paramName}': {e.Message}";
return false;
}
}
else
{
float minF;
float maxF;
if (!float.TryParse(minStr, out minF) || !float.TryParse(maxStr, out maxF))
return false;
var floatOptions = new FloatParamOptions();
floatOptions.Name = paramName;
floatOptions.Min = minF;
floatOptions.Max = maxF;
floatOptions.NumSteps = numSteps;
floatOptions.StepSize = (stepSize > 0 ? stepSize : new Nullable<Double>());
floatOptions.LogBase = logBase;
try
{
sweepValues = new FloatValueGenerator(floatOptions);
}
catch (Exception e)
{
error = $"Error creating sweep generator for parameter '{paramName}': {e.Message}";
return false;
}
}
return true;
}
}
}