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Add Microsoft.ML.GenAI.Phi, test package and sample project. (#7184)
* add genai.phi and tests * formatter * refactor Phi3Tokenizer * update * add configuration for phi-series * add semantic kernel and autogen intergration * update * add Microsoft.ML.GenAI.Sample * use tokenzier model from testTokenizer package * use defaults * add quantize linear * use version string * remove special token from CreatePhi2 API * set up quantize sample * initialize linear with zeros * update sample * add 6.0 to targetframework * fix tests * update * remove Phi3Tokenizer and use LlamaTokenizer instead * revert change in tokenizer package * run test on x64 * fix tests * check in approved file * run test in net6.0 * use meta device * copy approval tests to output folder * set up approval test file location * fix comment * rename to AddGenAITextGeneration and AddGenAIChatCompletion * Update job-template.yml * add mit license * add reference * bump code coverage version * add <PreserveCompilationContext>true</PreserveCompilationContext> * add runtime package * remove flag * add flag * fix build error * update * update
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‎Microsoft.ML.sln

Lines changed: 45 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -176,7 +176,15 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TorchSharp.Tes
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EndProject
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TensorFlow.Tests", "test\Microsoft.ML.TensorFlow.Tests\Microsoft.ML.TensorFlow.Tests.csproj", "{763FF013-8309-4680-A769-B54E7BB99612}"
178178
EndProject
179-
Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Microsoft.ML.GenAI.Core", "src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj", "{DB2CA055-8ABD-4E3E-8089-5B64C3415E85}"
179+
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Core", "src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj", "{DB2CA055-8ABD-4E3E-8089-5B64C3415E85}"
180+
EndProject
181+
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi", "src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj", "{694BF884-B2E4-4E1C-9342-0564BAAC4575}"
182+
EndProject
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Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.GenAI.Phi.Tests", "test\Microsoft.ML.GenAI.Phi.Tests\Microsoft.ML.GenAI.Phi.Tests.csproj", "{867FFC34-DFA7-400F-B9BB-85158326CE08}"
184+
EndProject
185+
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}"
186+
EndProject
187+
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}"
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EndProject
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Global
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GlobalSection(SolutionConfigurationPlatforms) = preSolution
@@ -838,6 +846,38 @@ Global
838846
{DB2CA055-8ABD-4E3E-8089-5B64C3415E85}.Release|Any CPU.Build.0 = Release|Any CPU
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{DB2CA055-8ABD-4E3E-8089-5B64C3415E85}.Release|x64.ActiveCfg = Release|Any CPU
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{DB2CA055-8ABD-4E3E-8089-5B64C3415E85}.Release|x64.Build.0 = Release|Any CPU
849+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
850+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Debug|Any CPU.Build.0 = Debug|Any CPU
851+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Debug|x64.ActiveCfg = Debug|Any CPU
852+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Debug|x64.Build.0 = Debug|Any CPU
853+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Release|Any CPU.ActiveCfg = Release|Any CPU
854+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Release|Any CPU.Build.0 = Release|Any CPU
855+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Release|x64.ActiveCfg = Release|Any CPU
856+
{694BF884-B2E4-4E1C-9342-0564BAAC4575}.Release|x64.Build.0 = Release|Any CPU
857+
{867FFC34-DFA7-400F-B9BB-85158326CE08}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
858+
{867FFC34-DFA7-400F-B9BB-85158326CE08}.Debug|Any CPU.Build.0 = Debug|Any CPU
859+
{867FFC34-DFA7-400F-B9BB-85158326CE08}.Debug|x64.ActiveCfg = Debug|Any CPU
860+
{867FFC34-DFA7-400F-B9BB-85158326CE08}.Debug|x64.Build.0 = Debug|Any CPU
861+
{867FFC34-DFA7-400F-B9BB-85158326CE08}.Release|Any CPU.ActiveCfg = Release|Any CPU
862+
{867FFC34-DFA7-400F-B9BB-85158326CE08}.Release|Any CPU.Build.0 = Release|Any CPU
863+
{867FFC34-DFA7-400F-B9BB-85158326CE08}.Release|x64.ActiveCfg = Release|Any CPU
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{867FFC34-DFA7-400F-B9BB-85158326CE08}.Release|x64.Build.0 = Release|Any CPU
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
866+
{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Debug|x64.ActiveCfg = Debug|Any CPU
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Debug|x64.Build.0 = Debug|Any CPU
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Release|Any CPU.Build.0 = Release|Any CPU
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Release|x64.ActiveCfg = Release|Any CPU
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47}.Release|x64.Build.0 = Release|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Debug|Any CPU.Build.0 = Debug|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Debug|x64.ActiveCfg = Debug|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Debug|x64.Build.0 = Debug|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Release|Any CPU.Build.0 = Release|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.ActiveCfg = Release|Any CPU
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{14AB0804-D4CE-4634-B544-5A8587620783}.Release|x64.Build.0 = Release|Any CPU
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EndGlobalSection
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GlobalSection(SolutionProperties) = preSolution
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HideSolutionNode = FALSE
@@ -925,6 +965,10 @@ Global
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{AB8D68F1-6C3E-41FD-B0EC-A093E009341D} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
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{763FF013-8309-4680-A769-B54E7BB99612} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
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{DB2CA055-8ABD-4E3E-8089-5B64C3415E85} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
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{694BF884-B2E4-4E1C-9342-0564BAAC4575} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
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{867FFC34-DFA7-400F-B9BB-85158326CE08} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
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{1D4AD9A3-19AF-432B-889D-A63FE6D7BD47} = {DA452A53-2E94-4433-B08C-041EDEC729E6}
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{14AB0804-D4CE-4634-B544-5A8587620783} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
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EndGlobalSection
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GlobalSection(ExtensibilityGlobals) = postSolution
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SolutionGuid = {41165AF1-35BB-4832-A189-73060F82B01D}

‎THIRD-PARTY-NOTICES.TXT

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@@ -171,3 +171,29 @@ distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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License notice for Torchsharp.PyBridge
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------------------------------------------
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https://github.com/shaltielshmid/TorchSharp.PyBridge/blob/main/LICENSE
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MIT License
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Copyright (c) 2023 shaltielshmid
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎build/ci/job-template.yml

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@@ -121,7 +121,7 @@ jobs:
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- ${{ if eq(parameters.nightlyBuild, 'false') }}:
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- ${{ if eq(parameters.innerLoop, 'false') }}:
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- ${{ if and(eq(parameters.runSpecific, 'false'), eq(parameters.useVSTestTask, 'false')) }}:
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- script: set PATH=%PATH%;%USERPROFILE%\.nuget\packages\libtorch-cpu-win-x64\2.2.0.1\runtimes\win-x64\native;%USERPROFILE%\.nuget\packages\torchsharp\0.102.5\runtimes\win-x64\native & ${{ parameters.buildScript }} /p:Build=false -configuration $(_configuration) /p:TargetArchitecture=${{ parameters.architecture }} /p:TestArchitectures=${{ parameters.architecture }} -test -integrationTest /p:Coverage=${{ parameters.codeCoverage }} $(testTargetFramework)
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- script: set PATH=%PATH%;%USERPROFILE%\.nuget\packages\libtorch-cpu-win-x64\2.2.1.1\runtimes\win-x64\native;%USERPROFILE%\.nuget\packages\torchsharp\0.102.7\runtimes\win-x64\native & ${{ parameters.buildScript }} /p:Build=false -configuration $(_configuration) /p:TargetArchitecture=${{ parameters.architecture }} /p:TestArchitectures=${{ parameters.architecture }} -test -integrationTest /p:Coverage=${{ parameters.codeCoverage }} $(testTargetFramework)
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displayName: Run All Tests.
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- ${{ if and(eq(parameters.runSpecific, 'true'), eq(parameters.useVSTestTask, 'false')) }}:
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- script: ${{ parameters.buildScript }} /p:Build=false -configuration $(_configuration) /p:TargetArchitecture=${{ parameters.architecture }} /p:TestArchitectures=${{ parameters.architecture }} -test -integrationTest /p:TestRunnerAdditionalArguments='-trait$(spaceValue)Category=RunSpecificTest' /p:Coverage=${{ parameters.codeCoverage }} $(testTargetFramework)

‎docs/samples/Microsoft.ML.GenAI.Samples/Microsoft.ML.GenAI.Samples.csproj

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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFramework>net8.0</TargetFramework>
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<ImplicitUsings>enable</ImplicitUsings>
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<Nullable>enable</Nullable>
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</PropertyGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Core\Microsoft.ML.GenAI.Core.csproj" />
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<ProjectReference Include="..\..\..\src\Microsoft.ML.GenAI.Phi\Microsoft.ML.GenAI.Phi.csproj" />
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="TorchSharp-cuda-windows" Version="0.102.5" Condition="$([MSBuild]::IsOSPlatform('Windows'))" />
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<PackageReference Include="Microsoft.SemanticKernel" Version="$(SemanticKernelVersion)" />
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</ItemGroup>
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</Project>

‎docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/AutoGenSample.cs

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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using AutoGen.Core;
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using Microsoft.ML.GenAI.Phi;
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using static TorchSharp.torch;
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using TorchSharp;
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using Microsoft.ML.GenAI.Core;
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using Microsoft.ML.GenAI.Core.Extension;
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namespace Microsoft.ML.GenAI.Samples.Phi3Mini;
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15+
public class AutoGenSample
16+
{
17+
public static async Task RunAsync()
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{
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var device = "cuda";
20+
if (device == "cuda")
21+
{
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torch.InitializeDeviceType(DeviceType.CUDA);
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}
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var defaultType = ScalarType.Float16;
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torch.manual_seed(1);
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torch.set_default_dtype(defaultType);
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var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
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var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
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// agent
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var agent = new Phi3Agent(pipeline, "assistant")
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.RegisterPrintMessage();
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var question = @"write a C# program to calculate the factorial of a number";
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// chat with the assistant
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await agent.SendAsync(question);
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}
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}

‎docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/SemanticKernelSample.cs

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using Microsoft.ML.GenAI.Phi.Extension;
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using Microsoft.SemanticKernel;
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using Microsoft.SemanticKernel.ChatCompletion;
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using TorchSharp;
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using static TorchSharp.torch;
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namespace Microsoft.ML.GenAI.Samples.Phi3Mini;
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public class SemanticKernelSample
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{
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public static async Task RunChatCompletionSample()
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{
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var device = "cuda";
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if (device == "cuda")
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{
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torch.InitializeDeviceType(DeviceType.CUDA);
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}
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var defaultType = ScalarType.Float16;
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torch.manual_seed(1);
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torch.set_default_dtype(defaultType);
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var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
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var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device: device);
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var kernel = Kernel.CreateBuilder()
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.AddGenAIChatCompletion(pipeline)
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.Build();
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var chatService = kernel.GetRequiredService<IChatCompletionService>();
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var chatHistory = new ChatHistory();
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chatHistory.AddSystemMessage("you are a helpful assistant");
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chatHistory.AddUserMessage("write a C# program to calculate the factorial of a number");
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await foreach (var response in chatService.GetStreamingChatMessageContentsAsync(chatHistory))
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{
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Console.Write(response);
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}
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}
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public static async Task RunTextGenerationSample()
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{
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var device = "cuda";
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if (device == "cuda")
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{
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torch.InitializeDeviceType(DeviceType.CUDA);
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}
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var defaultType = ScalarType.Float16;
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torch.manual_seed(1);
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torch.set_default_dtype(defaultType);
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var weightFolder = @"C:\Users\xiaoyuz\source\repos\Phi-3-mini-4k-instruct";
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var pipeline = Utils.LoadPhi3Mini4KFromFolder(weightFolder, device);
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var kernel = Kernel.CreateBuilder()
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.AddGenAITextGeneration(pipeline)
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.Build();
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var response = await kernel.InvokePromptAsync("Tell a joke");
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Console.WriteLine(response);
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}
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}

‎docs/samples/Microsoft.ML.GenAI.Samples/Phi3Mini/Utils.cs

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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using Microsoft.ML.GenAI.Core;
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using Microsoft.ML.GenAI.Phi;
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using Tensorboard;
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using static TorchSharp.torch;
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using TorchSharp;
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using Microsoft.ML.GenAI.Core.Extension;
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using System.Text.Json;
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using Microsoft.ML.Tokenizers;
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namespace Microsoft.ML.GenAI.Samples.Phi3Mini;
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internal static class Utils
18+
{
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public static ICausalLMPipeline<Tokenizer, Phi3ForCasualLM> LoadPhi3Mini4KFromFolder(
20+
string weightFolder,
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string configName = "config.json",
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string device = "cuda",
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int modelSizeOnCudaInGB = 16,
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int modelSizeOnMemoryInGB = 64,
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int modelSizeOnDiskInGB = 200,
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bool quantizeToInt8 = false,
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bool quantizeToInt4 = false)
28+
{
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Console.WriteLine("Loading Phi3 from huggingface model weight folder");
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torch.set_default_device("meta");
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var configPath = System.IO.Path.Combine(weightFolder, configName);
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var config = JsonSerializer.Deserialize<Phi3Config>(System.IO.File.ReadAllText(configPath)) ?? throw new ArgumentNullException(nameof(configPath));
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var timer = System.Diagnostics.Stopwatch.StartNew();
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var model = new Phi3ForCasualLM(config);
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var tokenzierPath = System.IO.Path.Combine(weightFolder, "tokenizer.model");
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var tokenizer = Phi3TokenizerHelper.FromPretrained(tokenzierPath);
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if (quantizeToInt8)
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{
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model.ToInt8QuantizeModule();
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}
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else if (quantizeToInt4)
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{
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model.ToInt4QuantizeModule();
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}
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var deviceSizeMap = new Dictionary<string, long>
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{
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["cuda"] = modelSizeOnCudaInGB * 1L * 1024 * 1024 * 1024,
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["cpu"] = modelSizeOnMemoryInGB * 1L * 1024 * 1024 * 1024,
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["disk"] = modelSizeOnDiskInGB * 1L * 1024 * 1024 * 1024,
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};
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var deviceMap = model.InferDeviceMapForEachLayer(
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devices: ["cuda", "cpu", "disk"],
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deviceSizeMapInByte: deviceSizeMap);
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var deviceMapJson = JsonSerializer.Serialize(deviceMap, new JsonSerializerOptions { WriteIndented = true });
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Console.WriteLine($"Device map:");
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Console.WriteLine(deviceMapJson);
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// load weight
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torch.set_default_device("cpu");
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Console.WriteLine("Start loading");
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timer = System.Diagnostics.Stopwatch.StartNew();
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model = new Phi3ForCasualLM(config);
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timer.Stop();
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Console.WriteLine($"Phi3 model created in {timer.ElapsedMilliseconds / 1000} s");
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timer = System.Diagnostics.Stopwatch.StartNew();
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model.LoadSafeTensors(weightFolder);
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timer.Stop();
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Console.WriteLine($"Phi3 weight loaded in {timer.ElapsedMilliseconds / 1000} s");
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if (quantizeToInt8 || quantizeToInt4)
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{
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timer = System.Diagnostics.Stopwatch.StartNew();
79+
Console.WriteLine("Start quantizing if needed");
80+
if (quantizeToInt8)
81+
{
82+
model.ToInt8QuantizeModule();
83+
}
84+
else if (quantizeToInt4)
85+
{
86+
model.ToInt4QuantizeModule();
87+
}
88+
Console.WriteLine("Quantizing done");
89+
timer.Stop();
90+
Console.WriteLine($"Quantizing done in {timer.ElapsedMilliseconds / 1000} s");
91+
}
92+
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timer = System.Diagnostics.Stopwatch.StartNew();
94+
Console.WriteLine($"Start loading to device: {device}");
95+
model = model.ToDynamicLoadingModel(deviceMap, "cuda");
96+
timer.Stop();
97+
Console.WriteLine($"Phi3 loaded to device: {device} in {timer.ElapsedMilliseconds / 1000} s");
98+
var pipeline = new CausalLMPipeline<Tokenizer, Phi3ForCasualLM>(tokenizer, model, device);
99+
torch.set_default_device(device);
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return pipeline;
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}
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}

‎docs/samples/Microsoft.ML.GenAI.Samples/Program.cs

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// See https://aka.ms/new-console-template for more information
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using Microsoft.ML.GenAI.Samples.Phi3Mini;
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await SemanticKernelSample.RunChatCompletionSample();

‎eng/Versions.props

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@@ -63,18 +63,22 @@
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<TensorflowDotNETVersion>0.20.1</TensorflowDotNETVersion>
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<TensorFlowMajorVersion>2</TensorFlowMajorVersion>
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<TensorFlowVersion>2.3.1</TensorFlowVersion>
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<TorchSharpPyBridgeVersion>1.4.1</TorchSharpPyBridgeVersion>
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<AutoGenVersion>0.0.15</AutoGenVersion>
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<SemanticKernelVersion>1.15.0</SemanticKernelVersion>
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<TorchSharpVersion>0.102.7</TorchSharpVersion>
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<LibTorchVersion>2.2.1.1</LibTorchVersion>
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<!-- Build/infrastructure Dependencies -->
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<CodecovVersion>1.12.4</CodecovVersion>
70-
<CoverletCollectorVersion>3.1.2</CoverletCollectorVersion>
71-
<CoverletMsbuildVersion>3.1.2</CoverletMsbuildVersion>
73+
<CoverletCollectorVersion>6.0.2</CoverletCollectorVersion>
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<CoverletMsbuildVersion>6.0.0</CoverletMsbuildVersion>
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<MicrosoftCodeAnalysisCSharpInternalAnalyzerVersion>3.3.1</MicrosoftCodeAnalysisCSharpInternalAnalyzerVersion>
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<MicrosoftCSharpVersion>4.5.0</MicrosoftCSharpVersion>
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<ReportGeneratorVersion>4.3.6</ReportGeneratorVersion>
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<SystemCompositionVersion>1.2.0</SystemCompositionVersion>
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<!-- Test-only Dependencies -->
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<ApprovalTestsVersion>5.4.7</ApprovalTestsVersion>
81+
<MoqVersion>4.20.70</MoqVersion>
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<BenchmarkDotNetVersion>0.13.1</BenchmarkDotNetVersion>
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<DotNetRuntime60Version>6.0.26</DotNetRuntime60Version>
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<DotNetRuntime80Version>8.0.1</DotNetRuntime80Version>

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