Add options to enable use of GPU with LightGBM#492

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Add options to enable use of GPU with LightGBM #492

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3decd7b
Add option to enable use of GPU with LightGBM (requires a build of Li…
Jul 5, 2018
bdb06d7
Add additional GPU arguments
Jul 5, 2018
f867d23
Refactor execution device settings. Make it clear that GPU device req…
Jul 5, 2018
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101 changes: 101 additions & 0 deletions src/Microsoft.ML.LightGBM/LightGbmArguments.cs
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Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
public delegate void SignatureLightGBMExecutionDevice();

public delegate void SignatureLightGBMBooster();

[TlcModule.ComponentKind("LightGbmExecutionDevice")]
public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
{
}
public interface IExecutionDeviceParameter
{
void UpdateParameters(Dictionary<string, object> res);
}

[TlcModule.ComponentKind("BoosterParameterFunction")]
public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
{
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
}
}

public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
where TArgs : class, new()
{
protected TArgs Args { get; }

protected ExecutionDeviceParameter(TArgs args)
{
Args = args;
}

/// <summary>
/// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
/// </summary>
public abstract void UpdateParameters(Dictionary<string, object> res);
}

private static string GetArgName(string name)
{
StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
return strBuf.ToString();
}


public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
{
public const string Name = "cpu_device";
public const string FriendlyName = "CPU Device";

[TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
public class Arguments : ISupportExecutionDeviceParameterFactory
{
public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
}

public CpuExecutionDevice(Arguments args)
: base(args)
{
}

public override void UpdateParameters(Dictionary<string, object> res)
{
return;
}
}

public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
{
public const string Name = "gpu_device";
public const string FriendlyName = "GPU Device";

[TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
public class Arguments : ISupportExecutionDeviceParameterFactory
{
[Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
public int PlatformId = -1;

[Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
public int DeviceId = -1;

[Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
public bool UseDoublePrecision = false;

public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
}

public GpuExecutionDevice(Arguments args)
: base(args)
{
Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
}

public override void UpdateParameters(Dictionary<string, object> res)
{
res["device"] = "gpu";
if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
}
}

public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
{
public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
[Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

[Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

internal Dictionary<string, object> ToDictionary(IHost host)
{
Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
res[GetArgName(nameof(CatL2))] = CatL2.ToString();

var executionDeviceParams = ExecutionDevice.CreateComponent(host);
executionDeviceParams.UpdateParameters(res);

return res;
}
}
Expand Down
68 changes: 67 additions & 1 deletion src/Microsoft.ML/CSharpApi.cs
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
[TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
public double CatL2 { get; set; } = 10d;

/// <summary>
/// Execution device for training (CPU or GPU).
/// NOTE: GPU training requires compatible build of LightGBM as described here:
/// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
/// </summary>

@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.

[JsonConverter(typeof(ComponentSerializer))]
public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

/// <summary>
/// Parallel LightGBM Learning Algorithm
/// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
[TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
public double CatL2 { get; set; } = 10d;

/// <summary>
/// Execution device for training (CPU or GPU).
/// NOTE: GPU training requires compatible build of LightGBM as described here:
/// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
/// </summary>
[JsonConverter(typeof(ComponentSerializer))]
public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

/// <summary>
/// Parallel LightGBM Learning Algorithm
/// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
[TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
public double CatL2 { get; set; } = 10d;

/// <summary>
/// Execution device for training (CPU or GPU).
/// NOTE: GPU training requires compatible build of LightGBM as described here:
/// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
/// </summary>
[JsonConverter(typeof(ComponentSerializer))]
public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

/// <summary>
/// Parallel LightGBM Learning Algorithm
/// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
[TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
public double CatL2 { get; set; } = 10d;

/// <summary>
/// Execution device for training (CPU or GPU).
/// NOTE: GPU training requires compatible build of LightGBM as described here:
/// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
/// </summary>
[JsonConverter(typeof(ComponentSerializer))]
public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

/// <summary>
/// Parallel LightGBM Learning Algorithm
/// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
internal override string ComponentName => "AutoMlState";
}

public abstract class BoosterParameterFunction : ComponentKind {}
public abstract class LightGbmExecutionDevice : ComponentKind {}

/// <summary>
/// LightGBM CPU execution device
/// </summary>
public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
{
internal override string ComponentName => "cpu_device";
}

/// <summary>
/// LightGBM GPU execution device.
/// NOTE: Requires build of LightGBM that supports GPU as described here:
/// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
/// </summary>
public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
{
/// <summary>
/// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
/// </summary>
public int PlatformId { get; set; } = -1;

/// <summary>
/// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
/// </summary>
public int DeviceId { get; set; } = -1;

/// <summary>
/// Use double precision math on GPU?
/// </summary>
public bool UseDoublePrecision { get; set; } = false;

internal override string ComponentName => "gpu_device";
}

public abstract class BoosterParameterFunction : ComponentKind {}


/// <summary>
Expand Down
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Add options to enable use of GPU with LightGBM#492

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mjmckp
wants to merge
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commits into

from

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Add options to enable use of GPU with LightGBM
#492
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3decd7b

Add option to enable use of GPU with LightGBM (requires a build of Li…

Jul 5, 2018
bdb06d7

Add additional GPU arguments

Jul 5, 2018
f867d23

Refactor execution device settings. Make it clear that GPU device req…

Jul 5, 2018

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101 changes: 101 additions & 0 deletions
src/Microsoft.ML.LightGBM/LightGbmArguments.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
 public delegate void SignatureLightGBMExecutionDevice();

 public delegate void SignatureLightGBMBooster();

 [TlcModule.ComponentKind("LightGbmExecutionDevice")]
 public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
 {
 }
 public interface IExecutionDeviceParameter
 {
 void UpdateParameters(Dictionary<string, object> res);
 }

 [TlcModule.ComponentKind("BoosterParameterFunction")]
 public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
 {
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
 }
 }

 public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
 where TArgs : class, new()
 {
 protected TArgs Args { get; }

 protected ExecutionDeviceParameter(TArgs args)
 {
 Args = args;
 }

 /// <summary>
 /// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
 /// </summary>
 public abstract void UpdateParameters(Dictionary<string, object> res);
 }

 private static string GetArgName(string name)
 {
 StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
 return strBuf.ToString();
 }


 public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
 {
 public const string Name = "cpu_device";
 public const string FriendlyName = "CPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
 }

 public CpuExecutionDevice(Arguments args)
 : base(args)
 {
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 return;
 }
 }

 public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
 {
 public const string Name = "gpu_device";
 public const string FriendlyName = "GPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
 public int PlatformId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
 public int DeviceId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
 public bool UseDoublePrecision = false;

 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
 }

 public GpuExecutionDevice(Arguments args)
 : base(args)
 {
 Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
 Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 res["device"] = "gpu";
 if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
 if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
 if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
 }
 }

 public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
 {
 public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
 [Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
 public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

 [Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
 public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

 internal Dictionary<string, object> ToDictionary(IHost host)
 {
 Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
 res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
 res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
 res[GetArgName(nameof(CatL2))] = CatL2.ToString();

 var executionDeviceParams = ExecutionDevice.CreateComponent(host);
 executionDeviceParams.UpdateParameters(res);

 return res;
 }
 }
Expand Down

68 changes: 67 additions & 1 deletion
src/Microsoft.ML/CSharpApi.cs

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
 internal override string ComponentName => "AutoMlState";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}
 public abstract class LightGbmExecutionDevice : ComponentKind {}

 /// <summary>
 /// LightGBM CPU execution device
 /// </summary>
 public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
 {
 internal override string ComponentName => "cpu_device";
 }

 /// <summary>
 /// LightGBM GPU execution device.
 /// NOTE: Requires build of LightGBM that supports GPU as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
 {
 /// <summary>
 /// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
 /// </summary>
 public int PlatformId { get; set; } = -1;

 /// <summary>
 /// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
 /// </summary>
 public int DeviceId { get; set; } = -1;

 /// <summary>
 /// Use double precision math on GPU?
 /// </summary>
 public bool UseDoublePrecision { get; set; } = false;

 internal override string ComponentName => "gpu_device";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}


 /// <summary>
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
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var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add options to enable use of GPU with LightGBM
#492
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3decd7b

Add option to enable use of GPU with LightGBM (requires a build of Li…

Jul 5, 2018
bdb06d7

Add additional GPU arguments

Jul 5, 2018
f867d23

Refactor execution device settings. Make it clear that GPU device req…

Jul 5, 2018

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101 changes: 101 additions & 0 deletions
src/Microsoft.ML.LightGBM/LightGbmArguments.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
 public delegate void SignatureLightGBMExecutionDevice();

 public delegate void SignatureLightGBMBooster();

 [TlcModule.ComponentKind("LightGbmExecutionDevice")]
 public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
 {
 }
 public interface IExecutionDeviceParameter
 {
 void UpdateParameters(Dictionary<string, object> res);
 }

 [TlcModule.ComponentKind("BoosterParameterFunction")]
 public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
 {
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
 }
 }

 public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
 where TArgs : class, new()
 {
 protected TArgs Args { get; }

 protected ExecutionDeviceParameter(TArgs args)
 {
 Args = args;
 }

 /// <summary>
 /// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
 /// </summary>
 public abstract void UpdateParameters(Dictionary<string, object> res);
 }

 private static string GetArgName(string name)
 {
 StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
 return strBuf.ToString();
 }


 public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
 {
 public const string Name = "cpu_device";
 public const string FriendlyName = "CPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
 }

 public CpuExecutionDevice(Arguments args)
 : base(args)
 {
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 return;
 }
 }

 public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
 {
 public const string Name = "gpu_device";
 public const string FriendlyName = "GPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
 public int PlatformId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
 public int DeviceId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
 public bool UseDoublePrecision = false;

 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
 }

 public GpuExecutionDevice(Arguments args)
 : base(args)
 {
 Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
 Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 res["device"] = "gpu";
 if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
 if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
 if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
 }
 }

 public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
 {
 public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
 [Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
 public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

 [Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
 public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

 internal Dictionary<string, object> ToDictionary(IHost host)
 {
 Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
 res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
 res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
 res[GetArgName(nameof(CatL2))] = CatL2.ToString();

 var executionDeviceParams = ExecutionDevice.CreateComponent(host);
 executionDeviceParams.UpdateParameters(res);

 return res;
 }
 }
Expand Down

68 changes: 67 additions & 1 deletion
src/Microsoft.ML/CSharpApi.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
 internal override string ComponentName => "AutoMlState";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}
 public abstract class LightGbmExecutionDevice : ComponentKind {}

 /// <summary>
 /// LightGBM CPU execution device
 /// </summary>
 public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
 {
 internal override string ComponentName => "cpu_device";
 }

 /// <summary>
 /// LightGBM GPU execution device.
 /// NOTE: Requires build of LightGBM that supports GPU as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
 {
 /// <summary>
 /// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
 /// </summary>
 public int PlatformId { get; set; } = -1;

 /// <summary>
 /// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
 /// </summary>
 public int DeviceId { get; set; } = -1;

 /// <summary>
 /// Use double precision math on GPU?
 /// </summary>
 public bool UseDoublePrecision { get; set; } = false;

 internal override string ComponentName => "gpu_device";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}


 /// <summary>
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add options to enable use of GPU with LightGBM#492

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mjmckp
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Add options to enable use of GPU with LightGBM
#492
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3decd7b

Add option to enable use of GPU with LightGBM (requires a build of Li…

Jul 5, 2018
bdb06d7

Add additional GPU arguments

Jul 5, 2018
f867d23

Refactor execution device settings. Make it clear that GPU device req…

Jul 5, 2018

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101 changes: 101 additions & 0 deletions
src/Microsoft.ML.LightGBM/LightGbmArguments.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
 public delegate void SignatureLightGBMExecutionDevice();

 public delegate void SignatureLightGBMBooster();

 [TlcModule.ComponentKind("LightGbmExecutionDevice")]
 public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
 {
 }
 public interface IExecutionDeviceParameter
 {
 void UpdateParameters(Dictionary<string, object> res);
 }

 [TlcModule.ComponentKind("BoosterParameterFunction")]
 public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
 {
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
 }
 }

 public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
 where TArgs : class, new()
 {
 protected TArgs Args { get; }

 protected ExecutionDeviceParameter(TArgs args)
 {
 Args = args;
 }

 /// <summary>
 /// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
 /// </summary>
 public abstract void UpdateParameters(Dictionary<string, object> res);
 }

 private static string GetArgName(string name)
 {
 StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
 return strBuf.ToString();
 }


 public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
 {
 public const string Name = "cpu_device";
 public const string FriendlyName = "CPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
 }

 public CpuExecutionDevice(Arguments args)
 : base(args)
 {
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 return;
 }
 }

 public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
 {
 public const string Name = "gpu_device";
 public const string FriendlyName = "GPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
 public int PlatformId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
 public int DeviceId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
 public bool UseDoublePrecision = false;

 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
 }

 public GpuExecutionDevice(Arguments args)
 : base(args)
 {
 Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
 Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 res["device"] = "gpu";
 if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
 if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
 if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
 }
 }

 public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
 {
 public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
 [Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
 public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

 [Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
 public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

 internal Dictionary<string, object> ToDictionary(IHost host)
 {
 Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
 res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
 res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
 res[GetArgName(nameof(CatL2))] = CatL2.ToString();

 var executionDeviceParams = ExecutionDevice.CreateComponent(host);
 executionDeviceParams.UpdateParameters(res);

 return res;
 }
 }
Expand Down

68 changes: 67 additions & 1 deletion
src/Microsoft.ML/CSharpApi.cs

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
 internal override string ComponentName => "AutoMlState";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}
 public abstract class LightGbmExecutionDevice : ComponentKind {}

 /// <summary>
 /// LightGBM CPU execution device
 /// </summary>
 public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
 {
 internal override string ComponentName => "cpu_device";
 }

 /// <summary>
 /// LightGBM GPU execution device.
 /// NOTE: Requires build of LightGBM that supports GPU as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
 {
 /// <summary>
 /// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
 /// </summary>
 public int PlatformId { get; set; } = -1;

 /// <summary>
 /// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
 /// </summary>
 public int DeviceId { get; set; } = -1;

 /// <summary>
 /// Use double precision math on GPU?
 /// </summary>
 public bool UseDoublePrecision { get; set; } = false;

 internal override string ComponentName => "gpu_device";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}


 /// <summary>
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Add options to enable use of GPU with LightGBM
#492
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3decd7b

Add option to enable use of GPU with LightGBM (requires a build of Li…

Jul 5, 2018
bdb06d7

Add additional GPU arguments

Jul 5, 2018
f867d23

Refactor execution device settings. Make it clear that GPU device req…

Jul 5, 2018

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101 changes: 101 additions & 0 deletions
src/Microsoft.ML.LightGBM/LightGbmArguments.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
 public delegate void SignatureLightGBMExecutionDevice();

 public delegate void SignatureLightGBMBooster();

 [TlcModule.ComponentKind("LightGbmExecutionDevice")]
 public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
 {
 }
 public interface IExecutionDeviceParameter
 {
 void UpdateParameters(Dictionary<string, object> res);
 }

 [TlcModule.ComponentKind("BoosterParameterFunction")]
 public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
 {
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
 }
 }

 public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
 where TArgs : class, new()
 {
 protected TArgs Args { get; }

 protected ExecutionDeviceParameter(TArgs args)
 {
 Args = args;
 }

 /// <summary>
 /// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
 /// </summary>
 public abstract void UpdateParameters(Dictionary<string, object> res);
 }

 private static string GetArgName(string name)
 {
 StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
 return strBuf.ToString();
 }


 public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
 {
 public const string Name = "cpu_device";
 public const string FriendlyName = "CPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
 }

 public CpuExecutionDevice(Arguments args)
 : base(args)
 {
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 return;
 }
 }

 public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
 {
 public const string Name = "gpu_device";
 public const string FriendlyName = "GPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
 public int PlatformId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
 public int DeviceId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
 public bool UseDoublePrecision = false;

 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
 }

 public GpuExecutionDevice(Arguments args)
 : base(args)
 {
 Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
 Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 res["device"] = "gpu";
 if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
 if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
 if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
 }
 }

 public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
 {
 public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
 [Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
 public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

 [Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
 public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

 internal Dictionary<string, object> ToDictionary(IHost host)
 {
 Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
 res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
 res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
 res[GetArgName(nameof(CatL2))] = CatL2.ToString();

 var executionDeviceParams = ExecutionDevice.CreateComponent(host);
 executionDeviceParams.UpdateParameters(res);

 return res;
 }
 }
Expand Down

68 changes: 67 additions & 1 deletion
src/Microsoft.ML/CSharpApi.cs

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
 internal override string ComponentName => "AutoMlState";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}
 public abstract class LightGbmExecutionDevice : ComponentKind {}

 /// <summary>
 /// LightGBM CPU execution device
 /// </summary>
 public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
 {
 internal override string ComponentName => "cpu_device";
 }

 /// <summary>
 /// LightGBM GPU execution device.
 /// NOTE: Requires build of LightGBM that supports GPU as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
 {
 /// <summary>
 /// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
 /// </summary>
 public int PlatformId { get; set; } = -1;

 /// <summary>
 /// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
 /// </summary>
 public int DeviceId { get; set; } = -1;

 /// <summary>
 /// Use double precision math on GPU?
 /// </summary>
 public bool UseDoublePrecision { get; set; } = false;

 internal override string ComponentName => "gpu_device";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}


 /// <summary>
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Add options to enable use of GPU with LightGBM#492

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 Closed

mjmckp
wants to merge
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commits into

from

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Add options to enable use of GPU with LightGBM
#492
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3decd7b

Add option to enable use of GPU with LightGBM (requires a build of Li…

Jul 5, 2018
bdb06d7

Add additional GPU arguments

Jul 5, 2018
f867d23

Refactor execution device settings. Make it clear that GPU device req…

Jul 5, 2018

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101 changes: 101 additions & 0 deletions
src/Microsoft.ML.LightGBM/LightGbmArguments.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
 public delegate void SignatureLightGBMExecutionDevice();

 public delegate void SignatureLightGBMBooster();

 [TlcModule.ComponentKind("LightGbmExecutionDevice")]
 public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
 {
 }
 public interface IExecutionDeviceParameter
 {
 void UpdateParameters(Dictionary<string, object> res);
 }

 [TlcModule.ComponentKind("BoosterParameterFunction")]
 public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
 {
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
 }
 }

 public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
 where TArgs : class, new()
 {
 protected TArgs Args { get; }

 protected ExecutionDeviceParameter(TArgs args)
 {
 Args = args;
 }

 /// <summary>
 /// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
 /// </summary>
 public abstract void UpdateParameters(Dictionary<string, object> res);
 }

 private static string GetArgName(string name)
 {
 StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
 return strBuf.ToString();
 }


 public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
 {
 public const string Name = "cpu_device";
 public const string FriendlyName = "CPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
 }

 public CpuExecutionDevice(Arguments args)
 : base(args)
 {
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 return;
 }
 }

 public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
 {
 public const string Name = "gpu_device";
 public const string FriendlyName = "GPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
 public int PlatformId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
 public int DeviceId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
 public bool UseDoublePrecision = false;

 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
 }

 public GpuExecutionDevice(Arguments args)
 : base(args)
 {
 Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
 Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 res["device"] = "gpu";
 if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
 if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
 if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
 }
 }

 public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
 {
 public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
 [Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
 public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

 [Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
 public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

 internal Dictionary<string, object> ToDictionary(IHost host)
 {
 Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
 res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
 res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
 res[GetArgName(nameof(CatL2))] = CatL2.ToString();

 var executionDeviceParams = ExecutionDevice.CreateComponent(host);
 executionDeviceParams.UpdateParameters(res);

 return res;
 }
 }
Expand Down

68 changes: 67 additions & 1 deletion
src/Microsoft.ML/CSharpApi.cs

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
 internal override string ComponentName => "AutoMlState";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}
 public abstract class LightGbmExecutionDevice : ComponentKind {}

 /// <summary>
 /// LightGBM CPU execution device
 /// </summary>
 public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
 {
 internal override string ComponentName => "cpu_device";
 }

 /// <summary>
 /// LightGBM GPU execution device.
 /// NOTE: Requires build of LightGBM that supports GPU as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
 {
 /// <summary>
 /// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
 /// </summary>
 public int PlatformId { get; set; } = -1;

 /// <summary>
 /// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
 /// </summary>
 public int DeviceId { get; set; } = -1;

 /// <summary>
 /// Use double precision math on GPU?
 /// </summary>
 public bool UseDoublePrecision { get; set; } = false;

 internal override string ComponentName => "gpu_device";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}


 /// <summary>
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Add options to enable use of GPU with LightGBM
#492
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3decd7b

Add option to enable use of GPU with LightGBM (requires a build of Li…

Jul 5, 2018
bdb06d7

Add additional GPU arguments

Jul 5, 2018
f867d23

Refactor execution device settings. Make it clear that GPU device req…

Jul 5, 2018

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101 changes: 101 additions & 0 deletions
src/Microsoft.ML.LightGBM/LightGbmArguments.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
 public delegate void SignatureLightGBMExecutionDevice();

 public delegate void SignatureLightGBMBooster();

 [TlcModule.ComponentKind("LightGbmExecutionDevice")]
 public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
 {
 }
 public interface IExecutionDeviceParameter
 {
 void UpdateParameters(Dictionary<string, object> res);
 }

 [TlcModule.ComponentKind("BoosterParameterFunction")]
 public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
 {
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
 }
 }

 public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
 where TArgs : class, new()
 {
 protected TArgs Args { get; }

 protected ExecutionDeviceParameter(TArgs args)
 {
 Args = args;
 }

 /// <summary>
 /// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
 /// </summary>
 public abstract void UpdateParameters(Dictionary<string, object> res);
 }

 private static string GetArgName(string name)
 {
 StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
 return strBuf.ToString();
 }


 public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
 {
 public const string Name = "cpu_device";
 public const string FriendlyName = "CPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
 }

 public CpuExecutionDevice(Arguments args)
 : base(args)
 {
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 return;
 }
 }

 public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
 {
 public const string Name = "gpu_device";
 public const string FriendlyName = "GPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
 public int PlatformId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
 public int DeviceId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
 public bool UseDoublePrecision = false;

 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
 }

 public GpuExecutionDevice(Arguments args)
 : base(args)
 {
 Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
 Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 res["device"] = "gpu";
 if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
 if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
 if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
 }
 }

 public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
 {
 public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
 [Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
 public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

 [Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
 public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

 internal Dictionary<string, object> ToDictionary(IHost host)
 {
 Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
 res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
 res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
 res[GetArgName(nameof(CatL2))] = CatL2.ToString();

 var executionDeviceParams = ExecutionDevice.CreateComponent(host);
 executionDeviceParams.UpdateParameters(res);

 return res;
 }
 }
Expand Down

68 changes: 67 additions & 1 deletion
src/Microsoft.ML/CSharpApi.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
 internal override string ComponentName => "AutoMlState";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}
 public abstract class LightGbmExecutionDevice : ComponentKind {}

 /// <summary>
 /// LightGBM CPU execution device
 /// </summary>
 public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
 {
 internal override string ComponentName => "cpu_device";
 }

 /// <summary>
 /// LightGBM GPU execution device.
 /// NOTE: Requires build of LightGBM that supports GPU as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
 {
 /// <summary>
 /// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
 /// </summary>
 public int PlatformId { get; set; } = -1;

 /// <summary>
 /// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
 /// </summary>
 public int DeviceId { get; set; } = -1;

 /// <summary>
 /// Use double precision math on GPU?
 /// </summary>
 public bool UseDoublePrecision { get; set; } = false;

 internal override string ComponentName => "gpu_device";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}


 /// <summary>
Expand Down

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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mjmckp
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Add options to enable use of GPU with LightGBM
#492
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3decd7b

Add option to enable use of GPU with LightGBM (requires a build of Li…

Jul 5, 2018
bdb06d7

Add additional GPU arguments

Jul 5, 2018
f867d23

Refactor execution device settings. Make it clear that GPU device req…

Jul 5, 2018

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101 changes: 101 additions & 0 deletions
src/Microsoft.ML.LightGBM/LightGbmArguments.cs

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Original file line numberDiff line numberDiff line change
Expand Up@@ -11,21 +11,40 @@
using Microsoft.ML.Runtime.Internal.Internallearn;
using Microsoft.ML.Runtime.LightGBM;

[assembly: LoadableClass(typeof(LightGbmArguments.CpuExecutionDevice), typeof(LightGbmArguments.CpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.CpuExecutionDevice.FriendlyName, LightGbmArguments.CpuExecutionDevice.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GpuExecutionDevice), typeof(LightGbmArguments.GpuExecutionDevice.Arguments),
 typeof(SignatureLightGBMExecutionDevice), LightGbmArguments.GpuExecutionDevice.FriendlyName, LightGbmArguments.GpuExecutionDevice.Name)]

[assembly: LoadableClass(typeof(LightGbmArguments.TreeBooster), typeof(LightGbmArguments.TreeBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.TreeBooster.FriendlyName, LightGbmArguments.TreeBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.DartBooster), typeof(LightGbmArguments.DartBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.DartBooster.FriendlyName, LightGbmArguments.DartBooster.Name)]
[assembly: LoadableClass(typeof(LightGbmArguments.GossBooster), typeof(LightGbmArguments.GossBooster.Arguments),
 typeof(SignatureLightGBMBooster), LightGbmArguments.GossBooster.FriendlyName, LightGbmArguments.GossBooster.Name)]

[assembly: EntryPointModule(typeof(LightGbmArguments.CpuExecutionDevice.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GpuExecutionDevice.Arguments))]

[assembly: EntryPointModule(typeof(LightGbmArguments.TreeBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.DartBooster.Arguments))]
[assembly: EntryPointModule(typeof(LightGbmArguments.GossBooster.Arguments))]

namespace Microsoft.ML.Runtime.LightGBM
{
 public delegate void SignatureLightGBMExecutionDevice();

 public delegate void SignatureLightGBMBooster();

 [TlcModule.ComponentKind("LightGbmExecutionDevice")]
 public interface ISupportExecutionDeviceParameterFactory : IComponentFactory<IExecutionDeviceParameter>
 {
 }
 public interface IExecutionDeviceParameter
 {
 void UpdateParameters(Dictionary<string, object> res);
 }

 [TlcModule.ComponentKind("BoosterParameterFunction")]
 public interface ISupportBoosterParameterFactory : IComponentFactory<IBoosterParameter>
 {
Expand DownExpand Up@@ -62,6 +81,22 @@ public virtual void UpdateParameters(Dictionary<string, object> res)
 }
 }

 public abstract class ExecutionDeviceParameter<TArgs> : IExecutionDeviceParameter
 where TArgs : class, new()
 {
 protected TArgs Args { get; }

 protected ExecutionDeviceParameter(TArgs args)
 {
 Args = args;
 }

 /// <summary>
 /// Update the parameters by specific ExecutionDevice, will update parameters into "res" directly.
 /// </summary>
 public abstract void UpdateParameters(Dictionary<string, object> res);
 }

 private static string GetArgName(string name)
 {
 StringBuilder strBuf = new StringBuilder();
Expand All@@ -82,6 +117,65 @@ private static string GetArgName(string name)
 return strBuf.ToString();
 }


 public sealed class CpuExecutionDevice : ExecutionDeviceParameter<CpuExecutionDevice.Arguments>
 {
 public const string Name = "cpu_device";
 public const string FriendlyName = "CPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM CPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new CpuExecutionDevice(this);
 }

 public CpuExecutionDevice(Arguments args)
 : base(args)
 {
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 return;
 }
 }

 public sealed class GpuExecutionDevice : ExecutionDeviceParameter<GpuExecutionDevice.Arguments>
 {
 public const string Name = "gpu_device";
 public const string FriendlyName = "GPU Device";

 [TlcModule.Component(Name = Name, FriendlyName = FriendlyName, Desc = "LightGBM GPU device.")]
 public class Arguments : ISupportExecutionDeviceParameterFactory
 {
 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.", ShortName = "gpu_platform_id")]
 public int PlatformId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.", ShortName = "gpu_device_id")]
 public int DeviceId = -1;

 [Argument(ArgumentType.AtMostOnce, HelpText = "Use double precision math on GPU?", ShortName = "gpu_use_dp")]
 public bool UseDoublePrecision = false;

 public virtual IExecutionDeviceParameter CreateComponent(IHostEnvironment env) => new GpuExecutionDevice(this);
 }

 public GpuExecutionDevice(Arguments args)
 : base(args)
 {
 Contracts.CheckUserArg(Args.PlatformId >= -1, nameof(Args.PlatformId), "must be >= -1.");
 Contracts.CheckUserArg(Args.DeviceId >= -1, nameof(Args.DeviceId), "must be >= -1.");
 }

 public override void UpdateParameters(Dictionary<string, object> res)
 {
 res["device"] = "gpu";
 if (Args.PlatformId != -1) res["gpu_platform_id"] = Args.PlatformId.ToString();
 if (Args.DeviceId != -1) res["gpu_device_id"] = Args.DeviceId.ToString();
 if (Args.UseDoublePrecision) res["gpu_use_dp"] = Args.UseDoublePrecision.ToString();
 }
 }

 public sealed class TreeBooster : BoosterParameter<TreeBooster.Arguments>
 {
 public const string Name = "gbdt";
Expand DownExpand Up@@ -355,6 +449,9 @@ public enum EvalMetricType
 [Argument(ArgumentType.Multiple, HelpText = "Parallel LightGBM Learning Algorithm", ShortName = "parag")]
 public ISupportParallel ParallelTrainer = new SingleTrainerFactory();

 [Argument(ArgumentType.Multiple, HelpText = "Which execution device to use, can be cpu_device or gpu_device. Note: GPU device requires compatible build of LightGBM dll.", SortOrder = 3, ShortName = "device")]
 public ISupportExecutionDeviceParameterFactory ExecutionDevice = new CpuExecutionDevice.Arguments();

 internal Dictionary<string, object> ToDictionary(IHost host)
 {
 Contracts.CheckValue(host, nameof(host));
Expand DownExpand Up@@ -408,6 +505,10 @@ internal Dictionary<string, object> ToDictionary(IHost host)
 res[GetArgName(nameof(MaxCatThreshold))] = MaxCatThreshold.ToString();
 res[GetArgName(nameof(CatSmooth))] = CatSmooth.ToString();
 res[GetArgName(nameof(CatL2))] = CatL2.ToString();

 var executionDeviceParams = ExecutionDevice.CreateComponent(host);
 executionDeviceParams.UpdateParameters(res);

 return res;
 }
 }
Expand Down

68 changes: 67 additions & 1 deletion
src/Microsoft.ML/CSharpApi.cs

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Expand Up@@ -7599,6 +7599,14 @@ public sealed partial class LightGbmBinaryClassifier : Microsoft.ML.Runtime.Entr
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
@sfilipisfilipiJul 10, 2018

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might be worth moving this comment on the actual LightGBMArguments file, since this file is generated. Mabye on the ExecutionDevice classes.
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -7806,6 +7814,14 @@ public sealed partial class LightGbmClassifier : Microsoft.ML.Runtime.EntryPoint
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8013,6 +8029,14 @@ public sealed partial class LightGbmRanker : Microsoft.ML.Runtime.EntryPoints.Co
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -8220,6 +8244,14 @@ public sealed partial class LightGbmRegressor : Microsoft.ML.Runtime.EntryPoints
 [TlcModule.SweepableDiscreteParamAttribute("CatL2", new object[]{0.1f, 0.5f, 1, 5, 10})]
 public double CatL2 { get; set; } = 10d;

 /// <summary>
 /// Execution device for training (CPU or GPU).
 /// NOTE: GPU training requires compatible build of LightGBM as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 [JsonConverter(typeof(ComponentSerializer))]
 public LightGbmExecutionDevice ExecutionDevice { get; set; } = new LightGbmCpuExecutionDevice();

 /// <summary>
 /// Parallel LightGBM Learning Algorithm
 /// </summary>
Expand DownExpand Up@@ -15985,8 +16017,42 @@ public sealed class AutoMlStateAutoMlStateBase : AutoMlStateBase
 internal override string ComponentName => "AutoMlState";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}
 public abstract class LightGbmExecutionDevice : ComponentKind {}

 /// <summary>
 /// LightGBM CPU execution device
 /// </summary>
 public sealed class LightGbmCpuExecutionDevice : LightGbmExecutionDevice
 {
 internal override string ComponentName => "cpu_device";
 }

 /// <summary>
 /// LightGBM GPU execution device.
 /// NOTE: Requires build of LightGBM that supports GPU as described here:
 /// https://github.com/Microsoft/LightGBM/blob/master/docs/Installation-Guide.rst#build-gpu-version
 /// </summary>
 public sealed class LightGbmGpuExecutionDevice : LightGbmExecutionDevice
 {
 /// <summary>
 /// OpenCL platform ID. Usually each GPU vendor exposes one OpenCL platform. -1 means the system-wide default platform.
 /// </summary>
 public int PlatformId { get; set; } = -1;

 /// <summary>
 /// OpenCL device ID in the specified platform. Each GPU in the selected platform has a unique device ID. -1 means the default device in the selected platform.
 /// </summary>
 public int DeviceId { get; set; } = -1;

 /// <summary>
 /// Use double precision math on GPU?
 /// </summary>
 public bool UseDoublePrecision { get; set; } = false;

 internal override string ComponentName => "gpu_device";
 }

 public abstract class BoosterParameterFunction : ComponentKind {}


 /// <summary>
Expand Down