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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
<add key="mlnet-assets" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/machinelearning-assets/nuget/v3/index.json" />
<add key="dotnet-libraries-transport" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-libraries-transport/nuget/v3/index.json" />
<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
Expand Down
11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} 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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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
<add key="mlnet-assets" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/machinelearning-assets/nuget/v3/index.json" />
<add key="dotnet-libraries-transport" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-libraries-transport/nuget/v3/index.json" />
<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
Expand Down
11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
Expand Down
Loading
, '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"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
<add key="mlnet-assets" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/machinelearning-assets/nuget/v3/index.json" />
<add key="dotnet-libraries-transport" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-libraries-transport/nuget/v3/index.json" />
<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
Expand Down
11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
Expand Down
Loading
, '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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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
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<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
Expand Down
11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
Expand Down
Loading
, '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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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
<add key="mlnet-assets" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/machinelearning-assets/nuget/v3/index.json" />
<add key="dotnet-libraries-transport" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-libraries-transport/nuget/v3/index.json" />
<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
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<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
Expand Down
11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
Expand Down
Loading
, '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('^' + ".*" + '
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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
<add key="mlnet-assets" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/machinelearning-assets/nuget/v3/index.json" />
<add key="dotnet-libraries-transport" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-libraries-transport/nuget/v3/index.json" />
<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
Expand Down
11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
Expand Down
Loading
, '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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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
<add key="mlnet-assets" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/machinelearning-assets/nuget/v3/index.json" />
<add key="dotnet-libraries-transport" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-libraries-transport/nuget/v3/index.json" />
<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
Expand Down
11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
Expand Down
Loading
, '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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24 changes: 23 additions & 1 deletion Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -184,7 +184,11 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Test
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Samples", "docs\samples\Microsoft.ML.GenAI.Samples\Microsoft.ML.GenAI.Samples.csproj", "{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core.Tests", "test\Microsoft.ML.GenAI.Core.Tests\Microsoft.ML.GenAI.Core.Tests.csproj", "{14AB0804-D4CE-4634-B544-5A8587620783}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.LLaMA", "src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj", "{0AA6D5CB-195F-457A-8792-4221E76E6C44}"
EndProject
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.LLaMA.Tests", "test\Microsoft.ML.GenAI.LLaMA.Tests\Microsoft.ML.GenAI.LLaMA.Tests.csproj", "{D202353D-6FAF-4263-9A01-BDCFBC92391F}"
EndProject
Global
GlobalSection(SolutionConfigurationPlatforms) = preSolution
Expand DownExpand Up@@ -878,6 +882,22 @@ Global
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|Any CPU.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.ActiveCfg = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Debug|x64.Build.0 = Debug|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|Any CPU.Build.0 = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.ActiveCfg = Release|Any CPU
{0AA6D5CB-195F-457A-8792-4221E76E6C44}.Release|x64.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|Any CPU.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.ActiveCfg = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Debug|x64.Build.0 = Debug|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|Any CPU.Build.0 = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.ActiveCfg = Release|Any CPU
{D202353D-6FAF-4263-9A01-BDCFBC92391F}.Release|x64.Build.0 = Release|Any CPU
EndGlobalSection
GlobalSection(SolutionProperties) = preSolution
HideSolutionNode = FALSE
Expand DownExpand Up@@ -969,6 +989,8 @@ Global
{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{0AA6D5CB-195F-457A-8792-4221E76E6C44} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{D202353D-6FAF-4263-9A01-BDCFBC92391F} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
EndGlobalSection
GlobalSection(ExtensibilityGlobals) = postSolution
SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}
Expand Down
4 changes: 4 additions & 0 deletions NuGet.config
Original file line numberDiff line numberDiff line change
Expand Up@@ -13,6 +13,7 @@
<add key="dotnet5-roslyn" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet5/nuget/v3/index.json" />
<add key="mlnet-daily" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json" />
<add key="mlnet-assets" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/machinelearning-assets/nuget/v3/index.json" />
<add key="dotnet-libraries-transport" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet-libraries-transport/nuget/v3/index.json" />
<add key="dotnet8" value="https://pkgs.dev.azure.com/dnceng/public/_packaging/dotnet8/nuget/v3/index.json" />
</packageSources>
<packageSourceMapping>
Expand DownExpand Up@@ -40,6 +41,9 @@
<packageSource key="mlnet-assets">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet-libraries-transport">
<package pattern="*" />
</packageSource>
<packageSource key="dotnet8">
<package pattern="*" />
</packageSource>
Expand Down
51 changes: 51 additions & 0 deletions docs/samples/Microsoft.ML.GenAI.Samples/Llama/LLaMA3_1.cs
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,51 @@
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
using AutoGen.Core;
using Microsoft.ML.GenAI.Core;
using Microsoft.ML.GenAI.Core.Extension;
using Microsoft.ML.GenAI.LLaMA;
using Microsoft.ML.Tokenizers;
using TorchSharp;
using static TorchSharp.torch;

namespace Microsoft.ML.GenAI.Samples.Llama;

internal class LlamaSample
{
public static async void Run()
{
var device = "cuda";
if (device == "cuda")
{
torch.InitializeDeviceType(DeviceType.CUDA);
}

var defaultType = ScalarType.Float16;
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Meta-Llama-3.1-8B-Instruct";
var configName = "config.json";
var originalWeightFolder = Path.Combine(weightFolder, "original");

Console.WriteLine("Loading Llama from huggingface model weight folder");
var stopWatch = System.Diagnostics.Stopwatch.StartNew();
stopWatch.Start();
var tokenizer = LlamaTokenizerHelper.FromPretrained(originalWeightFolder);
var model = LlamaForCausalLM.FromPretrained(weightFolder, configName, layersOnTargetDevice: -1);

var pipeline = new CausalLMPipeline<TiktokenTokenizer, LlamaForCausalLM>(tokenizer, model, device);

var agent = new LlamaCausalLMAgent(pipeline, "assistant")
.RegisterPrintMessage();

var task = """
Write a C# program to print the sum of two numbers. Use top-level statement, put code between ```csharp and ```.
""";

await agent.SendAsync(task);
}
}
Original file line numberDiff line numberDiff line change
Expand Up@@ -9,6 +9,7 @@

<ItemGroup>
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.LLaMA\Microsoft.ML.GenAI.LLaMA.csproj" />
<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
</ItemGroup>

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -26,7 +26,7 @@ public static async Task RunAsync()
torch.manual_seed(1);
torch.set_default_dtype(defaultType);
var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device, quantizeToInt8: false);

// agent
var agent = new Phi3Agent(pipeline, "assistant")
Expand Down
2 changes: 1 addition & 1 deletion docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -20,7 +20,7 @@ public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFo
string weightFolder,
string configName = "config.json",
string device = "cuda",
int modelSizeOnCudaInGB = 16,
Comment thread
LittleLittleCloud marked this conversation as resolved.
int modelSizeOnCudaInGB = 55,
int modelSizeOnMemoryInGB = 64,
int modelSizeOnDiskInGB = 200,
bool quantizeToInt8 = false,
Expand Down
2 changes: 1 addition & 1 deletion eng/Versions.props
Original file line numberDiff line numberDiff line change
Expand Up@@ -96,7 +96,7 @@
<MicrosoftMLTensorFlowTestModelsVersion>0.0.13-test</MicrosoftMLTensorFlowTestModelsVersion>
<MicrosoftMLTestDatabasesVersion>0.0.6-test</MicrosoftMLTestDatabasesVersion>
<MicrosoftMLTestModelsVersion>0.0.7-test</MicrosoftMLTestModelsVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24219.1</MicrosoftMLTestTokenizersVersion>
<MicrosoftMLTestTokenizersVersion>2.0.0-beta.24415.1</MicrosoftMLTestTokenizersVersion>
<SystemDataSqlClientVersion>4.8.6</SystemDataSqlClientVersion>
<SystemDataSQLiteCoreVersion>1.0.118</SystemDataSQLiteCoreVersion>
<XunitCombinatorialVersion>1.6.24</XunitCombinatorialVersion>
Expand Down
51 changes: 51 additions & 0 deletions src/Microsoft.ML.GenAI.Core/Extension/ModuleExtension.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -197,6 +197,57 @@ public static Dictionary<string, string> InferDeviceMapForEachLayer(
return deviceMap;
}

/// <summary>
/// Infer the device map for each layer in the model.
/// The device map is a dictionary where the key is the device id (e.g. "cuda:0") and the value is the memory size in bytes of the device.
/// When inferring the device map, each layer in the model will be placed on the device in the order of the devices list.
/// </summary>
/// <param name="model"></param>
/// <param name="numberOfLayerToBePlaced">a list of key-value pairs where the key is the device id (e.g. "cuda:0") and the value is the number of layers to be placed on the device.
/// If you want to place all remaining layers on the device, set that value to -1.
/// e.g. [{"cuda:0", 2}, {"cpu", -1}], the first 2 layers will be placed on "cuda:0" and the rest will be placed on "cpu".
/// </param>
/// <returns></returns>
public static Dictionary<string, string> InferDeviceMapForEachLayer(
this nn.Module model,
IEnumerable<KeyValuePair<string, int>> numberOfLayerToBePlaced)
{
var layerSizeMap = model.GetSizeForEachDynamicLayerInBytes()
.OrderByDescending(x => x.Value)
.ToList();

var deviceMap = new Dictionary<string, string>();
foreach (var (device, count) in numberOfLayerToBePlaced)
{
if (count != -1)
{
var topK = layerSizeMap.Take(count).ToList();
layerSizeMap = layerSizeMap.Skip(count).ToList();
foreach (var (key, value) in topK)
{
deviceMap[key] = device;
}
}
else
{
foreach (var (key, value) in layerSizeMap)
{
deviceMap[key] = device;
}

layerSizeMap.Clear();
break;
}
}

if (layerSizeMap.Count > 0)
{
throw new ArgumentException("The layer count is not enough to cover all layers, did you forget to set the last layer count to -1?");
}

return deviceMap;
}

internal static string Peek(this nn.Module model)
{
var sb = new StringBuilder();
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11 changes: 4 additions & 7 deletions src/Microsoft.ML.GenAI.Core/Microsoft.ML.GenAI.Core.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -8,23 +8,20 @@
</PropertyGroup>

<ItemGroup>
<PackageReference Include="AutoGen.Core" Version="$(AutoGenVersion)" />
<PackageReference Include="Microsoft.SemanticKernel.Abstractions" Version="$(SemanticKernelVersion)" />
<PackageReference Include="System.Memory" Version="$(SystemMemoryVersion)" />
<PackageReference Include="TorchSharp" Version="$(TorchSharpVersion)" />
</ItemGroup>
<!--

<ItemGroup Condition="'$(Configuration)' == 'Debug'">
<PackageReference Include="libtorch-cpu-win-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Windows'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-linux-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('Linux'))" PrivateAssets="all" />
<PackageReference Include="libtorch-cpu-osx-x64" Version="$(LibTorchVersion)" Condition="$([MSBuild]::IsOSPlatform('OSX'))" PrivateAssets="all" />
</ItemGroup> -->

<ItemGroup>
<ProjectReference Include="..\Microsoft.ML.Tokenizers\Microsoft.ML.Tokenizers.csproj" />
</ItemGroup>

<ItemGroup>
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.LLaMA.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Phi.Tests" />
<InternalsVisibleTo Include="Microsoft.ML.GenAI.Core.Tests" />
</ItemGroup>
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