update doc

.github/workflows/gradle-wrapper-validation.yml

@@ -11,4 +11,4 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
-      - uses: gradle/wrapper-validation-action@v2
+      - uses: gradle/wrapper-validation-action@v3

.pipelines/nuget_config/x64/packages.config

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="utf-8"?>
 <packages>
   <package id="python" version="3.9.7" targetFramework="native" />
-  <package id="Microsoft.AI.DirectML" version="1.13.1" targetFramework="native" />
+  <package id="Microsoft.AI.DirectML" version="1.14.0" targetFramework="native" />
   <package id="Microsoft.Windows.CppWinRT" version="2.0.201201.7" targetFramework="native" />
 </packages>

.pipelines/nuget_config/x86/packages.config

@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="utf-8"?>
 <packages>
   <package id="pythonx86" version="3.9.7" targetFramework="native" />
-  <package id="Microsoft.AI.DirectML" version="1.13.1" targetFramework="native" />
+  <package id="Microsoft.AI.DirectML" version="1.14.0" targetFramework="native" />
   <package id="Microsoft.Windows.CppWinRT" version="2.0.201201.7" targetFramework="native" />
 </packages>

cgmanifests/generated/cgmanifest.json

@@ -26,7 +26,7 @@
       "component": {
         "type": "git",
         "git": {
-          "commitHash": "b86cc54efce19530fb953e4b21f57e6b3888534c",
+          "commitHash": "990217f043af7222348ca8f0301e17fa7b841781",
           "repositoryUrl": "https://github.com/onnx/onnx.git"
         },
         "comments": "git submodule at cmake/external/onnx"

cmake/CMakeLists.txt

@@ -791,6 +791,38 @@ if (onnxruntime_USE_QNN)
     list(APPEND ORT_PROVIDER_FLAGS -DUSE_QNN=1)
     list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_QNN=1)
     list(APPEND ONNXRUNTIME_PROVIDER_NAMES qnn)
+    if (NOT QNN_ARCH_ABI)
+      string(TOLOWER ${onnxruntime_target_platform} GEN_PLATFORM)
+      if(MSVC)
+        message(STATUS "Building MSVC for architecture ${CMAKE_SYSTEM_PROCESSOR} with CMAKE_GENERATOR_PLATFORM as ${GEN_PLATFORM}")
+        if (${GEN_PLATFORM} STREQUAL "arm64")
+          set(QNN_ARCH_ABI aarch64-windows-msvc)
+        else()
+          set(QNN_ARCH_ABI x86_64-windows-msvc)
+        endif()
+      else()
+        if (${CMAKE_SYSTEM_NAME} STREQUAL "Android")
+          set(QNN_ARCH_ABI aarch64-android-clang6.0)
+        elseif (${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
+          if (${GEN_PLATFORM} STREQUAL "x86_64")
+            set(QNN_ARCH_ABI x86_64-linux-clang)
+          else()
+            set(QNN_ARCH_ABI aarch64-android)
+          endif()
+        endif()
+      endif()
+    endif()
+
+    if (MSVC OR ${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
+      file(GLOB QNN_LIB_FILES LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/libQnn*.so" "${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/Qnn*.dll")
+      if (${QNN_ARCH_ABI} STREQUAL "aarch64-windows-msvc")
+        file(GLOB EXTRA_HTP_LIB LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/hexagon-v68/unsigned/libQnnHtpV68Skel.so"
+		                                       "${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so"
+		                                       "${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libqnnhtpv73.cat")
+        list(APPEND QNN_LIB_FILES ${EXTRA_HTP_LIB})
+      endif()
+      message(STATUS "QNN lib files: " ${QNN_LIB_FILES})
+    endif()
 endif()
 if (onnxruntime_USE_SNPE)
     list(APPEND ORT_PROVIDER_FLAGS -DUSE_SNPE=1)
@@ -816,6 +848,9 @@ if (onnxruntime_USE_DML)
     list(APPEND ORT_PROVIDER_FLAGS  -DUSE_DML=1)
     list(APPEND ORT_PROVIDER_CMAKE_FLAGS -Donnxruntime_USE_DML=1)
     list(APPEND ONNXRUNTIME_PROVIDER_NAMES dml)
+    if(onnxruntime_ENABLE_NPU_ADAPTER_ENUMERATION)
+      list(APPEND ORT_PROVIDER_FLAGS -DENABLE_NPU_ADAPTER_ENUMERATION=1)
+    endif()
 endif()
 if (onnxruntime_USE_MIGRAPHX)
     list(APPEND ORT_PROVIDER_FLAGS  -DUSE_MIGRAPHX=1)

cmake/deps.txt

@@ -36,7 +36,7 @@ microsoft_wil;https://github.com/microsoft/wil/archive/refs/tags/v1.0.230629.1.z
 mimalloc;https://github.com/microsoft/mimalloc/archive/refs/tags/v2.1.1.zip;d5ee7d34223d0567892db5179849939c8769dc41
 mp11;https://github.com/boostorg/mp11/archive/refs/tags/boost-1.82.0.zip;9bc9e01dffb64d9e0773b2e44d2f22c51aace063
 neural_speed;https://github.com/intel/neural-speed/archive/refs/tags/v0.3.zip;5ec64e3071edc7347ebd8a81679cf06e2bb9b851
-onnx;https://github.com/onnx/onnx/archive/refs/tags/v1.15.0.zip;54c3f960a0541c5d8d3e60c2933e11f5d3688a11
+onnx;https://github.com/onnx/onnx/archive/refs/tags/v1.16.0.zip;a6d8b619459fb4657f8bec7d1c6d95ad6d4c069d
 #use the commit of Final DDS removal. DDS output is now supported by ORT TRT.
 onnx_tensorrt;https://github.com/onnx/onnx-tensorrt/archive/bacfaaa951653cd4e72efe727a543567cb38f7de.zip;26434329612e804164ab7baa6ae629ada56c1b26
 protobuf;https://github.com/protocolbuffers/protobuf/archive/refs/tags/v21.12.zip;7cf2733949036c7d52fda017badcab093fe73bfa

cmake/external/dml.cmake

@@ -41,7 +41,7 @@ if (NOT onnxruntime_USE_CUSTOM_DIRECTML)
   set(NUGET_CONFIG ${PROJECT_SOURCE_DIR}/../NuGet.config)
   set(PACKAGES_CONFIG ${PROJECT_SOURCE_DIR}/../packages.config)
   get_filename_component(PACKAGES_DIR ${CMAKE_CURRENT_BINARY_DIR}/../packages ABSOLUTE)
-  set(DML_PACKAGE_DIR ${PACKAGES_DIR}/Microsoft.AI.DirectML.1.13.1)
+  set(DML_PACKAGE_DIR ${PACKAGES_DIR}/Microsoft.AI.DirectML.1.14.0)
 
   # Restore nuget packages, which will pull down the DirectML redist package.
   add_custom_command(

cmake/onnxruntime_mlas.cmake

@@ -197,6 +197,7 @@ function(setup_mlas_source_for_windows)
       ${MLAS_SRC_DIR}/amd64/sgemma.asm
       ${MLAS_SRC_DIR}/amd64/cvtfp16a.asm
       ${MLAS_SRC_DIR}/amd64/SoftmaxKernelAvx.asm
+      ${MLAS_SRC_DIR}/amd64/SoftmaxKernelAvx512F.asm
       ${MLAS_SRC_DIR}/amd64/TransKernelFma3.asm
       ${MLAS_SRC_DIR}/amd64/TransKernelAvx512F.asm
       ${MLAS_SRC_DIR}/amd64/LogisticKernelFma3.asm
@@ -536,6 +537,7 @@ else()
           ${MLAS_SRC_DIR}/x86_64/DgemmKernelAvx512F.S
           ${MLAS_SRC_DIR}/x86_64/SgemmKernelAvx512F.S
           ${MLAS_SRC_DIR}/x86_64/SconvKernelAvx512F.S
+          ${MLAS_SRC_DIR}/x86_64/SoftmaxKernelAvx512F.S
           ${MLAS_SRC_DIR}/x86_64/SpoolKernelAvx512F.S
           ${MLAS_SRC_DIR}/x86_64/TransKernelAvx512F.S
           ${MLAS_SRC_DIR}/intrinsics/avx512/quantize_avx512f.cpp

cmake/onnxruntime_python.cmake

@@ -380,6 +380,9 @@ if (onnxruntime_ENABLE_TRAINING)
   file(GLOB onnxruntime_python_ortmodule_graph_optimizers_srcs CONFIGURE_DEPENDS
     "${ORTTRAINING_SOURCE_DIR}/python/training/ortmodule/graph_optimizers/*"
   )
+  file(GLOB onnxruntime_python_ortmodule_pipe_srcs CONFIGURE_DEPENDS
+    "${ORTTRAINING_SOURCE_DIR}/python/training/ortmodule/experimental/pipe/*"
+  )
   file(GLOB onnxruntime_python_ort_triton_srcs CONFIGURE_DEPENDS
     "${ORTTRAINING_SOURCE_DIR}/python/training/ort_triton/*.py"
   )
@@ -756,6 +759,7 @@ if (onnxruntime_ENABLE_TRAINING)
     COMMAND ${CMAKE_COMMAND} -E make_directory $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/torch_gpu_allocator
     COMMAND ${CMAKE_COMMAND} -E make_directory $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ortmodule/torch_cpp_extensions/cuda/fused_ops
     COMMAND ${CMAKE_COMMAND} -E make_directory $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ortmodule/graph_optimizers
+    COMMAND ${CMAKE_COMMAND} -E make_directory $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ortmodule/experimental/pipe
     COMMAND ${CMAKE_COMMAND} -E make_directory $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ort_triton
     COMMAND ${CMAKE_COMMAND} -E make_directory $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ort_triton/kernel
     COMMAND ${CMAKE_COMMAND} -E make_directory $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/utils
@@ -806,6 +810,9 @@ if (onnxruntime_ENABLE_TRAINING)
     COMMAND ${CMAKE_COMMAND} -E copy
         ${onnxruntime_python_ortmodule_graph_optimizers_srcs}
         $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ortmodule/graph_optimizers/
+    COMMAND ${CMAKE_COMMAND} -E copy
+        ${onnxruntime_python_ortmodule_pipe_srcs}
+        $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ortmodule/experimental/pipe/
     COMMAND ${CMAKE_COMMAND} -E copy
         ${onnxruntime_python_ort_triton_srcs}
         $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/training/ort_triton/
@@ -1001,6 +1008,15 @@ if (onnxruntime_USE_COREML)
   )
 endif()
 
+if (onnxruntime_USE_QNN)
+  add_custom_command(
+    TARGET onnxruntime_pybind11_state POST_BUILD
+    COMMAND ${CMAKE_COMMAND} -E copy
+        ${QNN_LIB_FILES}
+        $<TARGET_FILE_DIR:${build_output_target}>/onnxruntime/capi/
+  )
+endif()
+
 endif()
 if (onnxruntime_ENABLE_LANGUAGE_INTEROP_OPS)
   include(onnxruntime_language_interop_ops.cmake)

cmake/onnxruntime_unittests.cmake

@@ -982,41 +982,11 @@ if (NOT onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
   endif()
 
   if (onnxruntime_USE_QNN)
-    if (NOT QNN_ARCH_ABI)
-      string(TOLOWER ${onnxruntime_target_platform} GEN_PLATFORM)
-      if(MSVC)
-          message(STATUS "Building MSVC for architecture ${CMAKE_SYSTEM_PROCESSOR} with CMAKE_GENERATOR_PLATFORM as ${GEN_PLATFORM}")
-          if (${GEN_PLATFORM} STREQUAL "arm64")
-            set(QNN_ARCH_ABI aarch64-windows-msvc)
-          else()
-            set(QNN_ARCH_ABI x86_64-windows-msvc)
-          endif()
-      else()
-          if (${CMAKE_SYSTEM_NAME} STREQUAL "Android")
-            set(QNN_ARCH_ABI aarch64-android-clang6.0)
-          elseif (${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
-            if (${GEN_PLATFORM} STREQUAL "x86_64")
-              set(QNN_ARCH_ABI x86_64-linux-clang)
-            else()
-              set(QNN_ARCH_ABI aarch64-android)
-            endif()
-          endif()
-      endif()
-    endif()
-
     if (MSVC OR ${CMAKE_SYSTEM_NAME} STREQUAL "Linux")
-        file(GLOB QNN_LIB_FILES LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/*.so" "${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/*.dll")
-        if (${QNN_ARCH_ABI} STREQUAL "aarch64-windows-msvc")
-          file(GLOB EXTRA_HTP_LIB LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/hexagon-v68/unsigned/libQnnHtpV68Skel.so"
-		  "${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so"
-		  "${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libqnnhtpv73.cat")
-          list(APPEND QNN_LIB_FILES ${EXTRA_HTP_LIB})
-        endif()
-        message(STATUS "QNN lib files: " ${QNN_LIB_FILES})
-        add_custom_command(
-          TARGET ${test_data_target} POST_BUILD
-          COMMAND ${CMAKE_COMMAND} -E copy ${QNN_LIB_FILES} $<TARGET_FILE_DIR:${test_data_target}>
-          )
+      add_custom_command(
+        TARGET ${test_data_target} POST_BUILD
+        COMMAND ${CMAKE_COMMAND} -E copy ${QNN_LIB_FILES} $<TARGET_FILE_DIR:${test_data_target}>
+        )
     endif()
   endif()
 
@@ -1285,6 +1255,9 @@ if (NOT onnxruntime_ENABLE_TRAINING_TORCH_INTEROP)
     if (onnxruntime_USE_TENSORRT)
       list(APPEND onnxruntime_shared_lib_test_LIBS ${TENSORRT_LIBRARY_INFER})
     endif()
+    if (onnxruntime_USE_DML)
+      list(APPEND onnxruntime_shared_lib_test_LIBS d3d12.lib)
+    endif()
     if (CMAKE_SYSTEM_NAME STREQUAL "Android")
       list(APPEND onnxruntime_shared_lib_test_LIBS ${android_shared_libs})
     endif()

cmake/patches/onnx/onnx.patch

@@ -1,16 +1,16 @@
-diff --git a/CMakeLists.txt b/CMakeLists.txt
-index 4dd56b6e..018da488 100644
+diff --git a/CMakeLists.txt b/CMakeLists.txt
+index 6d7ca846..69aa622f 100644
 --- a/CMakeLists.txt
 +++ b/CMakeLists.txt
-@@ -397,6 +397,7 @@ if (MSVC)
+@@ -499,6 +499,7 @@ if (MSVC)
    endif()
  else()
    # On non-Windows, hide all symbols we don't need
 +  set(EXTRA_FLAGS "-Wno-unused-parameter")
    set(ONNX_API_DEFINE "-DONNX_API=__attribute__\(\(__visibility__\(\"default\"\)\)\)")
    set_target_properties(onnx_proto PROPERTIES CXX_VISIBILITY_PRESET hidden)
    set_target_properties(onnx_proto PROPERTIES VISIBILITY_INLINES_HIDDEN 1)
-@@ -548,20 +549,9 @@ endif()
+@@ -653,20 +654,9 @@ endif()
  if(MSVC)
    target_compile_options(onnx_proto
                           PRIVATE /MP
@@ -31,14 +31,72 @@ index 4dd56b6e..018da488 100644
                                   ${EXTRA_FLAGS})
    if(ONNX_USE_PROTOBUF_SHARED_LIBS)
        target_compile_options(onnx_proto
+diff --git a/onnx/common/file_utils.h b/onnx/common/file_utils.h
+index b847798e..a6c31904 100644
+--- a/onnx/common/file_utils.h
++++ b/onnx/common/file_utils.h
+@@ -6,7 +6,6 @@
+
+ #pragma once
+
+-#include <filesystem>
+ #include <fstream>
+ #include <string>
+
+@@ -17,8 +16,7 @@ namespace ONNX_NAMESPACE {
+
+ template <typename T>
+ void LoadProtoFromPath(const std::string proto_path, T& proto) {
+-  std::filesystem::path proto_u8_path = std::filesystem::u8path(proto_path);
+-  std::fstream proto_stream(proto_u8_path, std::ios::in | std::ios::binary);
++  std::fstream proto_stream(proto_path, std::ios::in | std::ios::binary);
+   if (!proto_stream.good()) {
+     fail_check("Unable to open proto file: ", proto_path, ". Please check if it is a valid proto. ");
+   }
+diff --git a/onnx/defs/quantization/defs.cc b/onnx/defs/quantization/defs.cc
+index 70b4a4db..98c11545 100644
+--- a/onnx/defs/quantization/defs.cc
++++ b/onnx/defs/quantization/defs.cc
+@@ -200,6 +200,9 @@ ONNX_OPERATOR_SET_SCHEMA(
+         .SetDoc(DequantizeLinear_ver21_doc)
+         .TypeAndShapeInferenceFunction([](ONNX_NAMESPACE::InferenceContext& ctx) {
+           propagateElemTypeFromInputToOutput(ctx, 1, 0);
++          if (!hasInputShape(ctx, 0)) {
++            return;
++          }
+           auto& input_shape = getInputShape(ctx, 0);
+           updateOutputShape(ctx, 0, input_shape);
+         }));
+diff --git a/onnx/defs/quantization/old.cc b/onnx/defs/quantization/old.cc
+index 3f2d6384..d2f7cfd8 100644
+--- a/onnx/defs/quantization/old.cc
++++ b/onnx/defs/quantization/old.cc
+@@ -130,6 +130,9 @@ ONNX_OPERATOR_SET_SCHEMA(
+         .SetDoc(DequantizeLinear_ver19_doc)
+         .TypeAndShapeInferenceFunction([](ONNX_NAMESPACE::InferenceContext& ctx) {
+           propagateElemTypeFromInputToOutput(ctx, 1, 0);
++          if (!hasInputShape(ctx, 0)) {
++            return;
++          }
+           auto& input_shape = getInputShape(ctx, 0);
+           updateOutputShape(ctx, 0, input_shape);
+         }));
+@@ -181,7 +184,6 @@ ONNX_OPERATOR_SET_SCHEMA(
+           if (!hasInputShape(ctx, 0)) {
+             return;
+           }
+-
+           auto& input_shape = getInputShape(ctx, 0);
+           updateOutputShape(ctx, 0, input_shape);
+         }));
 diff --git a/onnx/onnx_pb.h b/onnx/onnx_pb.h
-index 0aab3e26..0f859267 100644
+index 0aab3e26..398ac2d6 100644
 --- a/onnx/onnx_pb.h
 +++ b/onnx/onnx_pb.h
 @@ -47,10 +47,28 @@
  #define ONNX_API ONNX_IMPORT
  #endif
-
+ 
 +#if defined(__GNUC__)
 +#pragma GCC diagnostic push
 +
@@ -58,9 +116,61 @@ index 0aab3e26..0f859267 100644
  #else
  #include "onnx/onnx.pb.h"
  #endif
-
+ 
 +#if defined(__GNUC__)
 +#pragma GCC diagnostic pop
 +#endif
 +
  #endif // ! ONNX_ONNX_PB_H
+diff --git a/onnx/shape_inference/implementation.cc b/onnx/shape_inference/implementation.cc
+index fab1faf2..8723dcd4 100644
+--- a/onnx/shape_inference/implementation.cc
++++ b/onnx/shape_inference/implementation.cc
+@@ -488,29 +488,29 @@ class ShapeInferenceImplBase {
+           ProcessCall(n, *(iter->second), ctx);
+         } else {
+           has_unsupported_op = true;
++          return;
+         }
+       } else {
+         has_unsupported_op = true;
++        return;
+       }
+-      if (!has_unsupported_op) {
+-        for (int i = 0; i < n.output_size(); ++i) {
+-          // skip type and shape propagation for missing optional outputs.
+-          if (!n.output(i).empty())
+-            UpdateType(n.output(i), ctx.getOutputType(i));
+-        }
+-        // Constant values are tracked to improve inference/checking for subsequent nodes.
+-        ProcessConstant(n);
+-        // If data-propagation is enabled, partial-evaluation (aka data-propagation) is performed
+-        // to improve inference/checking for subsequent nodes.
+-        if (options.enable_data_propagation && schema && schema->has_data_propagation_function()) {
+-          if (generated_shape_data_by_name == nullptr) {
+-            fail_shape_inference(
+-                "Container for generated shape data cannot be nullptr when enable_data_propagation option is set.");
+-          }
+-          DataPropagationContextImpl data_propagation_ctx(
+-              n, value_types_by_name, input_data_by_name, *generated_shape_data_by_name);
+-          schema->GetDataPropagationFunction()(data_propagation_ctx);
++      for (int i = 0; i < n.output_size(); ++i) {
++        // skip type and shape propagation for missing optional outputs.
++        if (!n.output(i).empty())
++          UpdateType(n.output(i), ctx.getOutputType(i));
++      }
++      // Constant values are tracked to improve inference/checking for subsequent nodes.
++      ProcessConstant(n);
++      // If data-propagation is enabled, partial-evaluation (aka data-propagation) is performed
++      // to improve inference/checking for subsequent nodes.
++      if (options.enable_data_propagation && schema && schema->has_data_propagation_function()) {
++        if (generated_shape_data_by_name == nullptr) {
++          fail_shape_inference(
++              "Container for generated shape data cannot be nullptr when enable_data_propagation option is set.");
+         }
++        DataPropagationContextImpl data_propagation_ctx(
++            n, value_types_by_name, input_data_by_name, *generated_shape_data_by_name);
++        schema->GetDataPropagationFunction()(data_propagation_ctx);
+       }
+     }
+     ONNX_CATCH(const ONNX_NAMESPACE::InferenceError& ex) {

csharp/sample/Microsoft.ML.OnnxRuntime.FasterRcnnSample/Microsoft.ML.OnnxRuntime.FasterRcnnSample.csproj

@@ -8,7 +8,7 @@
 
   <ItemGroup>
     <PackageReference Include="Microsoft.ML.OnnxRuntime" Version="1.16.3" />
-    <PackageReference Include="Sixlabors.ImageSharp" Version="2.1.7" />
+    <PackageReference Include="Sixlabors.ImageSharp" Version="2.1.8" />
     <PackageReference Include="SixLabors.ImageSharp.Drawing" Version="1.0.0-beta14" />
   </ItemGroup>
 

csharp/sample/Microsoft.ML.OnnxRuntime.ResNet50v2Sample/Microsoft.ML.OnnxRuntime.ResNet50v2Sample.csproj

@@ -8,7 +8,7 @@
 
   <ItemGroup>
     <PackageReference Include="Microsoft.ML.OnnxRuntime" Version="1.16.3" />
-    <PackageReference Include="Sixlabors.ImageSharp" Version="2.1.7" />
+    <PackageReference Include="Sixlabors.ImageSharp" Version="2.1.8" />
   </ItemGroup>
 
 </Project>