diff --git a/cmake/deps.txt b/cmake/deps.txt
index e1870bf2df0cf..598073e7a331c 100644
--- a/cmake/deps.txt
+++ b/cmake/deps.txt
@@ -34,7 +34,7 @@ microsoft_gsl;https://github.com/microsoft/GSL/archive/refs/tags/v4.0.0.zip;cf36
 microsoft_wil;https://github.com/microsoft/wil/archive/refs/tags/v1.0.230629.1.zip;e4a542a323c070376f7c2d1973d0f7ddbc1d2fa5
 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
-onnx;https://github.com/onnx/onnx/archive/refs/tags/v1.19.1.zip;c5215b5697dcdfd71799f001b8c4054a6bba6b09
+onnx;https://github.com/onnx/onnx/archive/refs/heads/rel-1.20.0.zip;c80f558cafc0023b53a1d92fdf9af8548afd7b29
 # Use the latest commit of 10.9-GA
 onnx_tensorrt;https://github.com/onnx/onnx-tensorrt/archive/d5dce67db7c2e64b07e055571f5ec06f7f254de2.zip;01114d3b67650857281fa50faa2e412130a63b69
 protobuf;https://github.com/protocolbuffers/protobuf/archive/refs/tags/v21.12.zip;7cf2733949036c7d52fda017badcab093fe73bfa
diff --git a/cmake/external/onnx b/cmake/external/onnx
index 54b72a5edd399..d8d3b072c5cac 160000
--- a/cmake/external/onnx
+++ b/cmake/external/onnx
@@ -1 +1 @@
-Subproject commit 54b72a5edd399eb096ee09fecdef03201e9bde89
+Subproject commit d8d3b072c5cacad5f0bf1adf35fcb549902b1149
diff --git a/cmake/patches/onnx/onnx.patch b/cmake/patches/onnx/onnx.patch
index 047cb527bb4da..dba0221f06844 100644
--- a/cmake/patches/onnx/onnx.patch
+++ b/cmake/patches/onnx/onnx.patch
@@ -1,8 +1,8 @@
 diff --git a/CMakeLists.txt b/CMakeLists.txt
-index cc3ef140..f70312ba 100644
+index 4a7df7d71..8462e3293 100644
 --- a/CMakeLists.txt
 +++ b/CMakeLists.txt
-@@ -57,6 +57,7 @@ option(ONNX_USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
+@@ -52,6 +52,7 @@ option(ONNX_USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
  option(ONNX_DISABLE_EXCEPTIONS "Disable exception handling." OFF)
  option(ONNX_DISABLE_STATIC_REGISTRATION "Disable static registration for ONNX operator schemas." OFF)
  option(ONNX_USE_UNITY_BUILD "Enable Unity (Jumbo) build for" OFF)
@@ -10,9 +10,9 @@ index cc3ef140..f70312ba 100644
  if(WIN32)
    option(ONNX_USE_MSVC_STATIC_RUNTIME "Build with MSVC static runtime" OFF)
  endif()
-@@ -409,14 +410,28 @@ relative_protobuf_generate_cpp(ONNX_PROTO_SRCS
+@@ -399,14 +400,28 @@ relative_protobuf_generate_cpp(ONNX_PROTO_SRCS
  
- add_library(onnx_proto ${ONNX_PROTO_SRCS})
+ add_library(onnx_proto_object OBJECT ${ONNX_PROTO_SRCS})
  
 -file(GLOB_RECURSE __tmp_srcs "${ONNX_ROOT}/onnx/*.h" "${ONNX_ROOT}/onnx/*.cc")
 -file(GLOB_RECURSE onnx_gtests_src "${ONNX_ROOT}/onnx/test/cpp/*.h"
@@ -20,7 +20,7 @@ index cc3ef140..f70312ba 100644
 -    "${ONNX_ROOT}/onnx/backend/test/cpp/*.cc"
 -    "${ONNX_ROOT}/onnx/backend/test/cpp/*.h")
 -list(REMOVE_ITEM __tmp_srcs "${ONNX_ROOT}/onnx/cpp2py_export.cc")
--list(REMOVE_ITEM __tmp_srcs ${onnx_gtests_src})
+-list(REMOVE_ITEM __tmp_srcs ${onnx_gtests_src} "${ONNX_ROOT}/onnx/test/cmake/main.cc")
 -list(APPEND ONNX_SRCS ${__tmp_srcs})
 +if(ONNX_MINIMAL_BUILD)
 +    message(STATUS "Configuring ONNX minimal build")
@@ -45,15 +45,15 @@ index cc3ef140..f70312ba 100644
 +    list(APPEND ONNX_SRCS ${__tmp_srcs})
 +endif()
  
- # Hide all symbols we don't need
- set_target_properties(onnx_proto PROPERTIES CXX_VISIBILITY_PRESET hidden)
-@@ -438,19 +453,6 @@ add_onnx_global_defines(onnx_proto)
- target_include_directories(onnx_proto PUBLIC
-   $<BUILD_INTERFACE:${ONNX_ROOT}>
+ set(LINKED_PROTOBUF_TARGET protobuf::libprotobuf)
+ if(ONNX_USE_LITE_PROTO)
+@@ -417,19 +432,7 @@ endif()
+ add_onnx_global_defines(onnx_proto_object)
+ target_include_directories(onnx_proto_object PUBLIC
    $<BUILD_INTERFACE:${CMAKE_CURRENT_BINARY_DIR}>)
 -if(MSVC)
 -  # For disabling Protobuf related warnings
--  target_compile_options(onnx_proto PUBLIC
+-  set(protobuf_warnings
 -    /wd4146 # unary minus operator applied to unsigned type,
 -            # result still unsigned
 -    /wd4244 # 'argument': conversion from 'google::
@@ -64,14 +64,15 @@ index cc3ef140..f70312ba 100644
 -    /wd4141 # 'inline': used more than once
 -  )
 -endif()
- 
- if(CMAKE_SYSTEM_NAME STREQUAL "AIX")
-   # whole-archive linker option not available on AIX.
++
+ add_library(onnx_proto)
+ target_link_libraries(onnx_proto PUBLIC $<BUILD_INTERFACE:onnx_proto_object>)
+ if(ONNX_ML)
 diff --git a/onnx/defs/nn/old.cc b/onnx/defs/nn/old.cc
-index ad6dd0c1..50259f32 100644
+index 887151217..ac2e8c463 100644
 --- a/onnx/defs/nn/old.cc
 +++ b/onnx/defs/nn/old.cc
-@@ -4091,7 +4091,6 @@ ONNX_OPERATOR_SET_SCHEMA(
+@@ -4152,7 +4152,6 @@ ONNX_OPERATOR_SET_SCHEMA(
      GroupNormalization,
      18,
      OpSchema()
@@ -79,16 +80,3 @@ index ad6dd0c1..50259f32 100644
          .SetDoc(GroupNormalization_ver18_doc)
          .Attr("epsilon", "The epsilon value to use to avoid division by zero.", AttributeProto::FLOAT, 1e-5f)
          .Attr(
-diff --git a/onnx/defs/schema.h b/onnx/defs/schema.h
-index 7e9bc27f..4b87c5a5 100644
---- a/onnx/defs/schema.h
-+++ b/onnx/defs/schema.h
-@@ -999,7 +999,7 @@ class OpSchemaRegistry final : public ISchemaRegistry {
-   class OpSchemaRegisterOnce final {
-    public:
-     // Export to cpp custom register macro
--    explicit OpSchemaRegisterOnce(
-+    OpSchemaRegisterOnce(
-         OpSchema op_schema,
-         int opset_version_to_load = 0,
-         bool fail_duplicate_schema = true) {
diff --git a/cmake/vcpkg-ports/onnx/binskim.patch b/cmake/vcpkg-ports/onnx/binskim.patch
index 047cb527bb4da..dba0221f06844 100644
--- a/cmake/vcpkg-ports/onnx/binskim.patch
+++ b/cmake/vcpkg-ports/onnx/binskim.patch
@@ -1,8 +1,8 @@
 diff --git a/CMakeLists.txt b/CMakeLists.txt
-index cc3ef140..f70312ba 100644
+index 4a7df7d71..8462e3293 100644
 --- a/CMakeLists.txt
 +++ b/CMakeLists.txt
-@@ -57,6 +57,7 @@ option(ONNX_USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
+@@ -52,6 +52,7 @@ option(ONNX_USE_LITE_PROTO "Use lite protobuf instead of full." OFF)
  option(ONNX_DISABLE_EXCEPTIONS "Disable exception handling." OFF)
  option(ONNX_DISABLE_STATIC_REGISTRATION "Disable static registration for ONNX operator schemas." OFF)
  option(ONNX_USE_UNITY_BUILD "Enable Unity (Jumbo) build for" OFF)
@@ -10,9 +10,9 @@ index cc3ef140..f70312ba 100644
  if(WIN32)
    option(ONNX_USE_MSVC_STATIC_RUNTIME "Build with MSVC static runtime" OFF)
  endif()
-@@ -409,14 +410,28 @@ relative_protobuf_generate_cpp(ONNX_PROTO_SRCS
+@@ -399,14 +400,28 @@ relative_protobuf_generate_cpp(ONNX_PROTO_SRCS
  
- add_library(onnx_proto ${ONNX_PROTO_SRCS})
+ add_library(onnx_proto_object OBJECT ${ONNX_PROTO_SRCS})
  
 -file(GLOB_RECURSE __tmp_srcs "${ONNX_ROOT}/onnx/*.h" "${ONNX_ROOT}/onnx/*.cc")
 -file(GLOB_RECURSE onnx_gtests_src "${ONNX_ROOT}/onnx/test/cpp/*.h"
@@ -20,7 +20,7 @@ index cc3ef140..f70312ba 100644
 -    "${ONNX_ROOT}/onnx/backend/test/cpp/*.cc"
 -    "${ONNX_ROOT}/onnx/backend/test/cpp/*.h")
 -list(REMOVE_ITEM __tmp_srcs "${ONNX_ROOT}/onnx/cpp2py_export.cc")
--list(REMOVE_ITEM __tmp_srcs ${onnx_gtests_src})
+-list(REMOVE_ITEM __tmp_srcs ${onnx_gtests_src} "${ONNX_ROOT}/onnx/test/cmake/main.cc")
 -list(APPEND ONNX_SRCS ${__tmp_srcs})
 +if(ONNX_MINIMAL_BUILD)
 +    message(STATUS "Configuring ONNX minimal build")
@@ -45,15 +45,15 @@ index cc3ef140..f70312ba 100644
 +    list(APPEND ONNX_SRCS ${__tmp_srcs})
 +endif()
  
- # Hide all symbols we don't need
- set_target_properties(onnx_proto PROPERTIES CXX_VISIBILITY_PRESET hidden)
-@@ -438,19 +453,6 @@ add_onnx_global_defines(onnx_proto)
- target_include_directories(onnx_proto PUBLIC
-   $<BUILD_INTERFACE:${ONNX_ROOT}>
+ set(LINKED_PROTOBUF_TARGET protobuf::libprotobuf)
+ if(ONNX_USE_LITE_PROTO)
+@@ -417,19 +432,7 @@ endif()
+ add_onnx_global_defines(onnx_proto_object)
+ target_include_directories(onnx_proto_object PUBLIC
    $<BUILD_INTERFACE:${CMAKE_CURRENT_BINARY_DIR}>)
 -if(MSVC)
 -  # For disabling Protobuf related warnings
--  target_compile_options(onnx_proto PUBLIC
+-  set(protobuf_warnings
 -    /wd4146 # unary minus operator applied to unsigned type,
 -            # result still unsigned
 -    /wd4244 # 'argument': conversion from 'google::
@@ -64,14 +64,15 @@ index cc3ef140..f70312ba 100644
 -    /wd4141 # 'inline': used more than once
 -  )
 -endif()
- 
- if(CMAKE_SYSTEM_NAME STREQUAL "AIX")
-   # whole-archive linker option not available on AIX.
++
+ add_library(onnx_proto)
+ target_link_libraries(onnx_proto PUBLIC $<BUILD_INTERFACE:onnx_proto_object>)
+ if(ONNX_ML)
 diff --git a/onnx/defs/nn/old.cc b/onnx/defs/nn/old.cc
-index ad6dd0c1..50259f32 100644
+index 887151217..ac2e8c463 100644
 --- a/onnx/defs/nn/old.cc
 +++ b/onnx/defs/nn/old.cc
-@@ -4091,7 +4091,6 @@ ONNX_OPERATOR_SET_SCHEMA(
+@@ -4152,7 +4152,6 @@ ONNX_OPERATOR_SET_SCHEMA(
      GroupNormalization,
      18,
      OpSchema()
@@ -79,16 +80,3 @@ index ad6dd0c1..50259f32 100644
          .SetDoc(GroupNormalization_ver18_doc)
          .Attr("epsilon", "The epsilon value to use to avoid division by zero.", AttributeProto::FLOAT, 1e-5f)
          .Attr(
-diff --git a/onnx/defs/schema.h b/onnx/defs/schema.h
-index 7e9bc27f..4b87c5a5 100644
---- a/onnx/defs/schema.h
-+++ b/onnx/defs/schema.h
-@@ -999,7 +999,7 @@ class OpSchemaRegistry final : public ISchemaRegistry {
-   class OpSchemaRegisterOnce final {
-    public:
-     // Export to cpp custom register macro
--    explicit OpSchemaRegisterOnce(
-+    OpSchemaRegisterOnce(
-         OpSchema op_schema,
-         int opset_version_to_load = 0,
-         bool fail_duplicate_schema = true) {
diff --git a/cmake/vcpkg-ports/onnx/fix-dependency-protobuf.patch b/cmake/vcpkg-ports/onnx/fix-dependency-protobuf.patch
index a1abf66f67dc6..4a438def6cf1b 100644
--- a/cmake/vcpkg-ports/onnx/fix-dependency-protobuf.patch
+++ b/cmake/vcpkg-ports/onnx/fix-dependency-protobuf.patch
@@ -1,8 +1,8 @@
 diff --git a/CMakeLists.txt b/CMakeLists.txt
-index 47995579..1542b11f 100644
+index 4a7df7d71..257d77e61 100644
 --- a/CMakeLists.txt
 +++ b/CMakeLists.txt
-@@ -169,6 +169,7 @@ if(NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
+@@ -159,6 +159,7 @@ if(NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
    set(CMAKE_POSITION_INDEPENDENT_CODE ON)
  endif()
  
@@ -11,14 +11,14 @@ index 47995579..1542b11f 100644
  if(NOT ONNX_BUILD_CUSTOM_PROTOBUF)
    if((ONNX_USE_LITE_PROTO AND TARGET protobuf::libprotobuf-lite) OR ((NOT ONNX_USE_LITE_PROTO) AND TARGET protobuf::libprotobuf))
 diff --git a/cmake/ONNXConfig.cmake.in b/cmake/ONNXConfig.cmake.in
-index a5129bfd..d450b51e 100644
+index aa1ef47d9..d450b51e5 100644
 --- a/cmake/ONNXConfig.cmake.in
 +++ b/cmake/ONNXConfig.cmake.in
 @@ -4,9 +4,8 @@
  # library version information
  set(ONNX_VERSION "@ONNX_VERSION@")
  
--if((NOT @@ONNX_USE_PROTOBUF_SHARED_LIBS@@) AND @@Build_Protobuf@@)
+-if(NOT @ONNX_USE_PROTOBUF_SHARED_LIBS@)
 -  find_package(Protobuf REQUIRED CONFIG)
 -endif()
 +include(CMakeFindDependencyMacro)
diff --git a/cmake/vcpkg-ports/onnx/portfile.cmake b/cmake/vcpkg-ports/onnx/portfile.cmake
index d19535c863a8f..04559bb62b2af 100644
--- a/cmake/vcpkg-ports/onnx/portfile.cmake
+++ b/cmake/vcpkg-ports/onnx/portfile.cmake
@@ -3,8 +3,8 @@ vcpkg_check_linkage(ONLY_STATIC_LIBRARY)
 vcpkg_from_github(
     OUT_SOURCE_PATH SOURCE_PATH
     REPO onnx/onnx
-    REF "v${VERSION}"
-    SHA512 cf6ff4c0bb6cc16ce5f4d6267480d35f3c7a5fde94d10e1358928ff6e4ec6d756a7c5d34a500e60bbd8eb1912c8af21aa763719321b330f56a0eb6b9b810ef60
+    REF d8d3b072c5cacad5f0bf1adf35fcb549902b1149
+    SHA512 3e03e2e43f097a9abc0e1d871f2b1bb4d619ac7913cce858d713524b380699d9278f1d1080f635f2b590431399ca0ecdb4eaa5cec126da4f39298c6a76370bc0
     PATCHES
         fix-cmakelists.patch
         fix-dependency-protobuf.patch
@@ -36,6 +36,7 @@ vcpkg_cmake_configure(
         "-DProtobuf_PROTOC_EXECUTABLE:FILEPATH=${PROTOC}"
         -DONNX_ML=ON
         -DONNX_USE_PROTOBUF_SHARED_LIBS=${USE_PROTOBUF_SHARED}
+        -DONNX_USE_LITE_PROTO=ON
         -DONNX_USE_MSVC_STATIC_RUNTIME=${USE_STATIC_RUNTIME}
         -DONNX_BUILD_TESTS=OFF
         -DONNX_BUILD_BENCHMARKS=OFF
diff --git a/cmake/vcpkg-ports/onnx/vcpkg.json b/cmake/vcpkg-ports/onnx/vcpkg.json
index ad0d1aaf15f51..6efe60520af8e 100644
--- a/cmake/vcpkg-ports/onnx/vcpkg.json
+++ b/cmake/vcpkg-ports/onnx/vcpkg.json
@@ -1,6 +1,6 @@
 {
   "name": "onnx",
-  "version-semver": "1.19.1",
+  "version-semver": "1.20.0",
   "port-version": 1,
   "description": "Open standard for machine learning interoperability",
   "homepage": "https://onnx.ai",
diff --git a/docs/How_To_Update_ONNX_Dev_Notes.md b/docs/How_To_Update_ONNX_Dev_Notes.md
index 8c1280431c384..67e7c2ab22a30 100644
--- a/docs/How_To_Update_ONNX_Dev_Notes.md
+++ b/docs/How_To_Update_ONNX_Dev_Notes.md
@@ -34,6 +34,7 @@ git add onnx
 
 1. Modify [cmake/vcpkg-ports/onnx/binskim.patch](/cmake/vcpkg-ports/onnx/binskim.patch) to be the same as [cmake/patches/onnx/onnx.patch](/cmake/patches/onnx/onnx.patch).
 2. The other patches are required/created by vcpkg repository to build ONNX. We just need to re-run diff to makes sure the patches can be applied in the updated ONNX version.
+   a. VCPKG relies these patches to build ONNX.
 3. Update [cmake/vcpkg-ports/onnx/portfile.cmake](/cmake/vcpkg-ports/onnx/portfile.cmake) with the correct commit id and SHA512. (alternatively, build it with the wrong SHA and ORT should tell you the expected one.)
 4. Upload your package: [Follow the instructions](https://microsoft.sharepoint.com/:o:/r/teams/ONNX2/_layouts/15/Doc.aspx?sourcedoc=%7B170774BE-E1C6-4F8B-A3AE-984F211FE410%7D&wd=target(Development.one%7C63D3AB47-51D1-4A62-9965-66882234BD44%2FUpdate%20a%20VCPKG%20package%7CB6AE6A97-94FC-4436-8FC6-08C21AE895DA%2F)&wdpartid=%7BB5CF19CC-40FE-0EC7-32B6-8119B427B32A%7D%7B1%7D&wdsectionfileid=%7B9DD25660-A195-48EA-B9E0-DF8B902AFDD7%7D&ovuser=72f988bf-86f1-41af-91ab-2d7cd011db47%2Ctitaiwang%40microsoft.com&clickparams=eyJBcHBOYW1lIjoiVGVhbXMtRGVza3RvcCIsIkFwcFZlcnNpb24iOiI0OS8yNTA5MTExNjAxNiIsIkhhc0ZlZGVyYXRlZFVzZXIiOmZhbHNlfQ%3D%3D&CID=fb9dcaa1-c0b5-1000-5597-c19e3adf468c&cidOR=SPO)one%7C63d3ab47-51d1-4a62-9965-66882234bd44%2FAdd%20or%20Update%20a%20C%2B%2B%20dependency%7Cb6ae6a97-94fc-4436-8fc6-08c21ae895da%2F%29&wdorigin=NavigationUrl
 
diff --git a/docs/OperatorKernels.md b/docs/OperatorKernels.md
index 92093ec5464f7..5f9e131e8297d 100644
--- a/docs/OperatorKernels.md
+++ b/docs/OperatorKernels.md
@@ -5,8 +5,6 @@ Do not modify directly.*
 ## Execution Providers
 
 - [CPUExecutionProvider](#cpuexecutionprovider)
-- [CUDAExecutionProvider](#cudaexecutionprovider)
-- [DmlExecutionProvider](#dmlexecutionprovider)
 
 ---------------
 
@@ -211,7 +209,7 @@ Do not modify directly.*
 |LSTM|*in* X:**T**<br> *in* W:**T**<br> *in* R:**T**<br> *in* B:**T**<br> *in* sequence_lens:**T1**<br> *in* initial_h:**T**<br> *in* initial_c:**T**<br> *in* P:**T**<br> *out* Y:**T**<br> *out* Y_h:**T**<br> *out* Y_c:**T**|22+|**T** = tensor(double), tensor(float)<br/> **T1** = tensor(int32)|
 |||[14, 21]|**T** = tensor(double), tensor(float)<br/> **T1** = tensor(int32)|
 |||[7, 13]|**T** = tensor(double), tensor(float)<br/> **T1** = tensor(int32)|
-|LayerNormalization|*in* X:**T**<br> *in* Scale:**T**<br> *in* B:**T**<br> *out* Y:**T**<br> *out* Mean:**U**<br> *out* InvStdDev:**U**<br><br>or<br><br>*in* X:**T**<br> *in* Scale:**V**<br> *in* B:**V**<br> *out* Y:**V**<br> *out* Mean:**U**<br> *out* InvStdDev:**U**|17+|**T** = tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(float)|
+|LayerNormalization|*in* X:**T**<br> *in* Scale:**T**<br> *in* B:**T**<br> *out* Y:**T**<br> *out* Mean:**U**<br> *out* InvStdDev:**U**|17+|**T** = tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(float)|
 |||[1, 16]|**T** = tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(double), tensor(float), tensor(float16)<br/> **V** = tensor(double), tensor(float), tensor(float16)|
 |LeakyRelu|*in* X:**T**<br> *out* Y:**T**|16+|**T** = tensor(float)|
 |||[6, 15]|**T** = tensor(float)|
@@ -551,13 +549,13 @@ Do not modify directly.*
 |DynamicTimeWarping|*in* input:**F**<br> *out* output:**I**|1+|**F** = tensor(float)<br/> **I** = tensor(int32)|
 |EmbedLayerNormalization|*in* input_ids:**T1**<br> *in* segment_ids:**T1**<br> *in* word_embedding:**T**<br> *in* position_embedding:**T**<br> *in* segment_embedding:**T**<br> *in* gamma:**T**<br> *in* beta:**T**<br> *in* mask:**T1**<br> *in* position_ids:**T1**<br> *out* output:**T**<br> *out* mask_index:**T1**<br> *out* embedding_sum:**T**|1+|**T** = tensor(float)|
 |ExpandDims|*in* X:**T**<br> *in* axis:**tensor(int32)**<br> *out* Y:**T**|1+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **axis** = tensor(int32)|
-|FastGelu|*in* X:**T**<br> *in* bias:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
+|FastGelu||1+|**T** = tensor(float)|
 |FusedConv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *in* Z:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
 |FusedGemm|*in* A:**T**<br> *in* B:**T**<br> *in* C:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
 |FusedMatMul|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
 |GatherBlockQuantized|*in* data:**T1**<br> *in* indices:**Tind**<br> *in* scales:**T2**<br> *in* zero_points:**T1**<br> *out* output:**T2**|1+|**T1** = tensor(int4), tensor(uint4), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)<br/> **Tind** = tensor(int32), tensor(int64)|
 |GatherND|*in* data:**T**<br> *in* indices:**Tind**<br> *out* output:**T**|1+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|Gelu|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
+|Gelu||1+|**T** = tensor(float)|
 |GreedySearch|*in* input_ids:**I**<br> *in* max_length:**I**<br> *in* min_length:**I**<br> *in* repetition_penalty:**T**<br> *in* vocab_mask:**I**<br> *in* prefix_vocab_mask:**I**<br> *in* attention_mask:**I**<br> *out* sequences:**I**|1+|**T** = tensor(float)|
 |GridSample|*in* X:**T1**<br> *in* Grid:**T1**<br> *out* Y:**T2**|1+|**T1** = tensor(float)<br/> **T2** = tensor(float)|
 |GroupQueryAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* seqlens_k:**M**<br> *in* total_sequence_length:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *in* position_ids:**tensor(int64)**<br> *in* attention_bias:**T**<br> *in* head_sink:**T**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**<br> *out* output_qk:**T**|1+|**M** = tensor(int32)<br/> **T** = tensor(float), tensor(float16)|
@@ -586,7 +584,7 @@ Do not modify directly.*
 |QLinearWhere|*in* condition:**B**<br> *in* X:**T**<br> *in* x_scale:**TF**<br> *in* x_zero_point:**T**<br> *in* Y:**T**<br> *in* y_scale:**TF**<br> *in* y_zero_point:**T**<br> *in* z_scale:**TF**<br> *in* z_zero_point:**T**<br> *out* Z:**T**|1+|**T** = tensor(int8), tensor(uint8)|
 |QMoE|*in* input:**T**<br> *in* router_probs:**T**<br> *in* fc1_experts_weights:**T1**<br> *in* fc1_scales:**T2**<br> *in* fc1_experts_bias:**T**<br> *in* fc2_experts_weights:**T1**<br> *in* fc2_scales:**T2**<br> *in* fc2_experts_bias:**T**<br> *in* fc3_experts_weights:**T1**<br> *in* fc3_scales:**T2**<br> *in* fc3_experts_bias:**T**<br> *in* fc1_zero_points:**T1**<br> *in* fc2_zero_points:**T1**<br> *in* fc3_zero_points:**T1**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)<br/> **T1** = tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
 |QuantizeLinear|*in* x:**T1**<br> *in* y_scale:**T1**<br> *in* y_zero_point:**T2**<br> *out* y:**T2**|1+|**T1** = tensor(float)<br/> **T2** = tensor(int16), tensor(int4), tensor(int8), tensor(uint16), tensor(uint4), tensor(uint8)|
-|QuickGelu|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
+|QuickGelu||1+|**T** = tensor(float)|
 |Range|*in* start:**T**<br> *in* limit:**T**<br> *in* delta:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64)|
 |RotaryEmbedding|*in* input:**T**<br> *in* position_ids:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *out* output:**T**|1+|**M** = tensor(int64)<br/> **T** = tensor(float), tensor(float16)|
 |SampleOp|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
@@ -615,884 +613,3 @@ Do not modify directly.*
 |Upsample|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
 | |
 | |
-
-
-<a name="cudaexecutionprovider"/>
-
-## Operators implemented by CUDAExecutionProvider
-
-| Op Name | Parameters | OpSet Version | Types Supported |
-|---------|------------|---------------|-----------------|
-|**Operator Domain:** *ai.onnx*||||
-|Abs|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Add|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[7, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|Affine|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|And|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|7+|**T** = tensor(bool)<br/> **T1** = tensor(bool)|
-|ArgMax|*in* data:**T**<br> *out* reduced:**tensor(int64)**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||12|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 11]|**T** = tensor(double), tensor(float), tensor(float16)|
-|ArgMin|*in* data:**T**<br> *out* reduced:**tensor(int64)**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||12|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 11]|**T** = tensor(double), tensor(float), tensor(float16)|
-|AveragePool|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[19, 21]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[11, 18]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||10|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[7, 9]|**T** = tensor(double), tensor(float), tensor(float16)|
-|BatchNormalization|*in* X:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *in* input_mean:**U**<br> *in* input_var:**U**<br> *out* Y:**T**<br> *out* running_mean:**U**<br> *out* running_var:**U**<br><br>or<br><br>*in* X:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *in* mean:**T**<br> *in* var:**T**<br> *out* Y:**T**<br> *out* mean:**T**<br> *out* var:**T**<br> *out* saved_mean:**T**<br> *out* saved_var:**T**<br><br>or<br><br>*in* X:**T**<br> *in* scale:**T1**<br> *in* B:**T1**<br> *in* input_mean:**T2**<br> *in* input_var:**T2**<br> *out* Y:**T**<br> *out* running_mean:**T2**<br> *out* running_var:**T2**|15+|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(double), tensor(float), tensor(float16)|
-|||14|**T** = tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(double), tensor(float), tensor(float16)|
-|||[9, 13]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Cast|*in* input:**T1**<br> *out* output:**T2**|23+|**T1** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[21, 22]|**T1** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[19, 20]|**T1** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 18]|**T1** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[9, 12]|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[6, 8]|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float4e2m1), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Ceil|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Clip|*in* input:**T**<br> *in* min:**T**<br> *in* max:**T**<br> *out* output:**T**<br><br>or<br><br>*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8)|
-|||12|**T** = tensor(double), tensor(float), tensor(float16), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8)|
-|||11|**T** = tensor(float)|
-|||[6, 10]|**T** = tensor(float)|
-|Compress|*in* input:**T**<br> *in* condition:**T1**<br> *out* output:**T**|11+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||[9, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|Concat|*in* inputs:**T**<br> *out* concat_result:**T**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[4, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|ConcatFromSequence|*in* input_sequence:**S**<br> *out* concat_result:**T**|11+|**S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|ConstantOfShape|*in* input:**T1**<br> *out* output:**T2**|9+|**T1** = tensor(int64)<br/> **T2** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Conv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|22+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[11, 21]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|ConvTranspose|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|11+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Cos|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Crop|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|CumSum|*in* x:**T**<br> *in* axis:**T2**<br> *out* y:**T**|14+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T2** = tensor(int32), tensor(int64)|
-|||[11, 13]|**T** = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T2** = tensor(int32), tensor(int64)|
-|DepthToSpace|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|DequantizeLinear|*in* x:**T**<br> *in* x_scale:**tensor(float)**<br> *in* x_zero_point:**T**<br> *out* y:**tensor(float)**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T2**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T3**|21+|**T1** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int4), tensor(int8), tensor(uint4), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||[19, 20]|**T1** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||[13, 18]|**T** = tensor(int8), tensor(uint8)|
-|||[10, 12]|**T** = tensor(int8), tensor(uint8)|
-|Div|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[7, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|Dropout|*in* data:**T**<br> *in* ratio:**T1**<br> *in* training_mode:**T2**<br> *out* output:**T**<br> *out* mask:**T2**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**<br> *out* mask:**T**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**<br> *out* mask:**T1**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|||12|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|||[10, 11]|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(bool)|
-|||[7, 9]|**T** = tensor(double), tensor(float), tensor(float16)|
-|DynamicSlice|*in* data:**T**<br> *in* starts:**Tind**<br> *in* ends:**Tind**<br> *in* axes:**Tind**<br> *out* output:**T**|1+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|Einsum|*in* Inputs:**T**<br> *out* Output:**T**|12+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Elu|*in* X:**T**<br> *out* Y:**T**|6+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Equal|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
-|||[11, 12]|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[7, 10]|**T** = tensor(bool), tensor(int32), tensor(int64)|
-|Erf|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[9, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Exp|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Expand|*in* input:**T**<br> *in* shape:**tensor(int64)**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[8, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|EyeLike|*in* input:**T1**<br> *out* output:**T2**|9+|**T1** = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64)<br/> **T2** = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64)|
-|Flatten|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[9, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[1, 8]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Floor|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|GRU|*in* X:**T**<br> *in* W:**T**<br> *in* R:**T**<br> *in* B:**T**<br> *in* sequence_lens:**T1**<br> *in* initial_h:**T**<br> *out* Y:**T**<br> *out* Y_h:**T**|14+|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(int32)|
-|||[7, 13]|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(int32)|
-|Gather|*in* data:**T**<br> *in* indices:**Tind**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[1, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|GatherElements|*in* data:**T**<br> *in* indices:**Tind**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|GatherND|*in* data:**T**<br> *in* indices:**tensor(int64)**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int64)<br/> **indices** = tensor(int64)|
-|||12|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int64)<br/> **indices** = tensor(int64)|
-|||11|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int64)<br/> **indices** = tensor(int64)|
-|Gelu|*in* X:**T**<br> *out* Y:**T**|20+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|Gemm|*in* A:**T**<br> *in* B:**T**<br> *in* C:**T**<br> *out* Y:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[9, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
-|GlobalAveragePool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|GlobalMaxPool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Greater|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|13+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
-|||[9, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
-|GreaterOrEqual|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|16+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
-|||[12, 15]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
-|GridSample|*in* X:**T1**<br> *in* grid:**T2**<br> *out* Y:**T1**|16+|**T1** = tensor(float)<br/> **T2** = tensor(float)|
-|HardSigmoid|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[6, 21]|**T** = tensor(double), tensor(float), tensor(float16)|
-|HardSwish|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[14, 21]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Identity|*in* input:**T**<br> *out* output:**T**<br><br>or<br><br>*in* input:**V**<br> *out* output:**V**|19+|**V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[14, 18]|**V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[1, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|If|*in* cond:**B**<br> *out* outputs:**V**|19+|**B** = tensor(bool)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 18]|**B** = tensor(bool)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**B** = tensor(bool)<br/> **V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[1, 10]|**B** = tensor(bool)<br/> **V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|ImageScaler|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|InstanceNormalization|*in* input:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *out* output:**T**|6+|**T** = tensor(double), tensor(float), tensor(float16)|
-|IsInf|*in* X:**T1**<br> *out* Y:**T2**|20+|**T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz)<br/> **T2** = tensor(bool)|
-|||[10, 19]|**T1** = tensor(double), tensor(float)<br/> **T2** = tensor(bool)|
-|IsNaN|*in* X:**T1**<br> *out* Y:**T2**|20+|**T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz)<br/> **T2** = tensor(bool)|
-|||[13, 19]|**T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|||[9, 12]|**T1** = tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|LRN|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|LSTM|*in* X:**T**<br> *in* W:**T**<br> *in* R:**T**<br> *in* B:**T**<br> *in* sequence_lens:**T1**<br> *in* initial_h:**T**<br> *in* initial_c:**T**<br> *in* P:**T**<br> *out* Y:**T**<br> *out* Y_h:**T**<br> *out* Y_c:**T**|14+|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(int32)|
-|||[7, 13]|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(int32)|
-|LayerNormalization|*in* X:**T**<br> *in* Scale:**T**<br> *in* B:**T**<br> *out* Y:**T**<br> *out* Mean:**U**<br> *out* InvStdDev:**U**<br><br>or<br><br>*in* X:**T**<br> *in* Scale:**V**<br> *in* B:**V**<br> *out* Y:**V**<br> *out* Mean:**U**<br> *out* InvStdDev:**U**|17+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(float)|
-|||[1, 16]|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(double), tensor(float)<br/> **V** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|LeakyRelu|*in* X:**T**<br> *out* Y:**T**|16+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[6, 15]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Less|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|13+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
-|||[9, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
-|LessOrEqual|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|16+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
-|||[12, 15]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T1** = tensor(bool)|
-|Log|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|LogSoftmax|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Loop|*in* M:**I**<br> *in* cond:**B**<br> *in* v_initial:**V**<br> *out* v_final_and_scan_outputs:**V**|19+|**B** = tensor(bool)<br/> **I** = tensor(int64)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 18]|**B** = tensor(bool)<br/> **I** = tensor(int64)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**B** = tensor(bool)<br/> **I** = tensor(int64)<br/> **V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[1, 10]|**B** = tensor(bool)<br/> **I** = tensor(int64)<br/> **V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|MatMul|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[9, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
-|MatMulInteger|*in* A:**T1**<br> *in* B:**T2**<br> *in* a_zero_point:**T1**<br> *in* b_zero_point:**T2**<br> *out* Y:**T3**|10+|**T1** = tensor(int8)<br/> **T2** = tensor(int8)<br/> **T3** = tensor(int32)|
-|Max|*in* data_0:**T**<br> *out* max:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||12|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[6, 11]|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|MaxPool|*in* X:**T**<br> *out* Y:**T**<br><br>or<br><br>*in* X:**T**<br> *out* Y:**T**<br> *out* Indices:**I**|12+|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int8), tensor(uint8)|
-|||11|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16)|
-|||10|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16)|
-|||[8, 9]|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 7]|**T** = tensor(double), tensor(float), tensor(float16)|
-|MemcpyFromHost|*in* X:**T**<br> *out* Y:**T**|1+|**T** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|MemcpyToHost|*in* X:**T**<br> *out* Y:**T**|1+|**T** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Min|*in* data_0:**T**<br> *out* min:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||12|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[6, 11]|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|Mod|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[10, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|Mul|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[7, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|Neg|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8)|
-|NonZero|*in* X:**T**<br> *out* Y:**tensor(int64)**|13+|**T** = tensor(bool), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8)|
-|||[9, 12]|**T** = tensor(bool), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8)|
-|Not|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(bool)|
-|OneHot|*in* indices:**T1**<br> *in* depth:**T2**<br> *in* values:**T3**<br> *out* output:**T3**|11+|**T1** = tensor(int32), tensor(int64)<br/> **T2** = tensor(int32), tensor(int64)<br/> **T3** = tensor(float), tensor(float16), tensor(int64)|
-|Or|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|7+|**T** = tensor(bool)<br/> **T1** = tensor(bool)|
-|PRelu|*in* X:**T**<br> *in* slope:**T**<br> *out* Y:**T**|16+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[9, 15]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Pad|*in* data:**T**<br> *in* pads:**tensor(int64)**<br> *in* constant_value:**T**<br> *in* axes:**Tind**<br> *out* output:**T**<br><br>or<br><br>*in* data:**T**<br> *in* pads:**tensor(int64)**<br> *in* constant_value:**T**<br> *out* output:**T**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**|18+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16)|
-|||[13, 17]|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16)|
-|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[2, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|ParametricSoftplus|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Pow|*in* X:**T**<br> *in* Y:**T**<br> *out* Z:**T**<br><br>or<br><br>*in* X:**T**<br> *in* Y:**T1**<br> *out* Z:**T**|15+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)<br/> **T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|||[13, 14]|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)<br/> **T1** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|||12|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)<br/> **T1** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|||[7, 11]|**T** = tensor(double), tensor(float), tensor(float16)|
-|QuantizeLinear|*in* x:**T1**<br> *in* y_scale:**T1**<br> *in* y_zero_point:**T2**<br> *out* y:**T2**<br><br>or<br><br>*in* x:**T1**<br> *in* y_scale:**T2**<br> *in* y_zero_point:**T3**<br> *out* y:**T3**<br><br>or<br><br>*in* x:**T1**<br> *in* y_scale:**tensor(float)**<br> *in* y_zero_point:**T2**<br> *out* y:**T2**|21+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int4), tensor(int8), tensor(uint4), tensor(uint8)|
-|||[19, 20]|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int8), tensor(uint8)|
-|||[13, 18]|**T1** = tensor(float)<br/> **T2** = tensor(int8), tensor(uint8)|
-|||[10, 12]|**T1** = tensor(float)<br/> **T2** = tensor(int8), tensor(uint8)|
-|RMSNormalization|*in* X:**T**<br> *in* scale:**V**<br> *out* Y:**V**|23+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **V** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|RNN|*in* X:**T**<br> *in* W:**T**<br> *in* R:**T**<br> *in* B:**T**<br> *in* sequence_lens:**T1**<br> *in* initial_h:**T**<br> *out* Y:**T**<br> *out* Y_h:**T**|14+|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(int32)|
-|||[7, 13]|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(int32)|
-|RandomNormal|*out* output:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|RandomNormalLike|*in* input:**T1**<br> *out* output:**T2**|1+|**T1** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(double), tensor(float), tensor(float16)|
-|RandomUniform|*out* output:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|RandomUniformLike|*in* input:**T1**<br> *out* output:**T2**|1+|**T1** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(double), tensor(float), tensor(float16)|
-|Range|*in* start:**T**<br> *in* limit:**T**<br> *in* delta:**T**<br> *out* output:**T**|11+|**T** = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64)|
-|Reciprocal|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|ReduceL1|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|ReduceL2|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|ReduceLogSum|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16)|
-|ReduceLogSumExp|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16)|
-|ReduceMax|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|ReduceMean|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|ReduceMin|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint8)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint8)|
-|ReduceProd|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32)|
-|ReduceSum|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|||[1, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|ReduceSumSquare|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 17]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Relu|*in* X:**T**<br> *out* Y:**T**|14+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||13|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Reshape|*in* data:**T**<br> *in* shape:**tensor(int64)**<br> *out* reshaped:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reshaped:**T**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
-|||[21, 22]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
-|||[19, 20]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
-|||[14, 18]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
-|||13|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
-|||[5, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **shape** = tensor(int64)|
-|||[1, 4]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Resize|*in* X:**T**<br> *in* scales:**tensor(float)**<br> *out* Y:**T**<br><br>or<br><br>*in* X:**T1**<br> *in* roi:**T2**<br> *in* scales:**tensor(float)**<br> *in* sizes:**tensor(int64)**<br> *out* Y:**T1**|18+|**T1** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8)|
-|||[13, 17]|**T1** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8)|
-|||[11, 12]|**T1** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8)|
-|||10|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8)|
-|ReverseSequence|*in* input:**T**<br> *in* sequence_lens:**tensor(int64)**<br> *out* Y:**T**|10+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|RoiAlign|*in* X:**T1**<br> *in* rois:**T1**<br> *in* batch_indices:**T2**<br> *out* Y:**T1**|10+|**T1** = tensor(double), tensor(float)<br/> **T2** = tensor(int64)|
-|RotaryEmbedding|*in* X:**T**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *in* position_ids:**M**<br> *out* Y:**T**|23+|**M** = tensor(int64)<br/> **T** = tensor(bfloat16), tensor(float), tensor(float16)|
-|Round|*in* X:**T**<br> *out* Y:**T**|11+|**T** = tensor(double), tensor(float), tensor(float16)|
-|ScaledTanh|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Scan|*in* initial_state_and_scan_inputs:**V**<br> *out* final_state_and_scan_outputs:**V**<br><br>or<br><br>*in* sequence_lens:**I**<br> *in* initial_state_and_scan_inputs:**V**<br> *out* final_state_and_scan_outputs:**V**|19+|**V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[16, 18]|**V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 15]|**V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[9, 10]|**V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||8|**I** = tensor(int64)<br/> **V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Scatter|*in* data:**T**<br> *in* indices:**Tind**<br> *in* updates:**T**<br> *out* output:**T**|[9, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|ScatterElements|*in* data:**T**<br> *in* indices:**Tind**<br> *in* updates:**T**<br> *out* output:**T**|18+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[16, 17]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[13, 15]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|ScatterND|*in* data:**T**<br> *in* indices:**tensor(int64)**<br> *in* updates:**T**<br> *out* output:**T**|18+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[16, 17]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 15]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Selu|*in* X:**T**<br> *out* Y:**T**|6+|**T** = tensor(double), tensor(float), tensor(float16)|
-|SequenceAt|*in* input_sequence:**S**<br> *in* position:**I**<br> *out* tensor:**T**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))<br/> **T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|SequenceConstruct|*in* inputs:**T**<br> *out* output_sequence:**S**|11+|**S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))<br/> **T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|SequenceEmpty|*out* output:**S**|11+|**S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|SequenceErase|*in* input_sequence:**S**<br> *in* position:**I**<br> *out* output_sequence:**S**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|SequenceInsert|*in* input_sequence:**S**<br> *in* tensor:**T**<br> *in* position:**I**<br> *out* output_sequence:**S**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|SequenceLength|*in* input_sequence:**S**<br> *out* length:**I**|11+|**I** = tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|Shape|*in* data:**T**<br> *out* shape:**T1**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||[21, 22]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||[19, 20]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||[15, 18]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||[13, 14]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||[1, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|Shrink|*in* input:**T**<br> *out* output:**T**|9+|**T** = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Sigmoid|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Sign|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|SimplifiedLayerNormalization|*in* X:**T**<br> *in* scale:**V**<br> *out* Y:**V**<br> *out* inv_std_var:**U**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(double), tensor(float)<br/> **V** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|Sin|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Size|*in* data:**T**<br> *out* size:**T1**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||[1, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|Slice|*in* data:**T**<br> *in* starts:**Tind**<br> *in* ends:**Tind**<br> *in* axes:**Tind**<br> *in* steps:**Tind**<br> *out* output:**T**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||10|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||[1, 9]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Softmax|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Softplus|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Softsign|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|SpaceToDepth|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Split|*in* input:**T**<br> *in* split:**T**<br> *out* outputs...:**T**<br><br>or<br><br>*in* input:**T**<br> *in* split:**tensor(int64)**<br> *out* outputs:**T**<br><br>or<br><br>*in* input:**T**<br> *out* outputs:**T**|18+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 17]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[2, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Sqrt|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Squeeze|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* squeezed:**T**<br><br>or<br><br>*in* data:**T**<br> *out* squeezed:**T**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[21, 22]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 20]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[1, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Sub|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||[7, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|Sum|*in* data_0:**T**<br> *out* sum:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[8, 12]|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[6, 7]|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|Tanh|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|ThresholdedRelu|*in* X:**T**<br> *out* Y:**T**|10+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Tile|*in* input:**T**<br> *in* repeats:**T1**<br> *out* output:**T**<br><br>or<br><br>*in* input:**T**<br> *in* tiles:**T**<br> *in* axis:**T**<br> *out* output:**T**|13+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)<br/> **T1** = tensor(int64)|
-|||[6, 12]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)<br/> **T1** = tensor(int64)|
-|TopK|*in* X:**T**<br> *in* K:**tensor(int64)**<br> *out* Values:**T**<br> *out* Indices:**I**<br><br>or<br><br>*in* X:**T**<br> *out* Values:**T**<br> *out* Indices:**I**|11+|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|||10|**I** = tensor(int64)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|||[1, 9]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64)|
-|Transpose|*in* data:**T**<br> *out* transposed:**T**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[21, 22]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 20]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[1, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Trilu|*in* input:**T**<br> *in* k:**tensor(int64)**<br> *out* output:**T**|14+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Unsqueeze|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* expanded:**T**<br><br>or<br><br>*in* data:**T**<br> *out* expanded:**T**|23+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[21, 22]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[13, 20]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[11, 12]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||[1, 10]|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Upsample|*in* X:**T**<br> *in* scales:**tensor(float)**<br> *out* Y:**T**<br><br>or<br><br>*in* X:**T**<br> *out* Y:**T**|9|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8)|
-|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8)|
-|Where|*in* condition:**B**<br> *in* X:**T**<br> *in* Y:**T**<br> *out* output:**T**|16+|**B** = tensor(bool)<br/> **T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8)|
-|||[9, 15]|**B** = tensor(bool)<br/> **T** = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8)|
-|Xor|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|7+|**T** = tensor(bool)<br/> **T1** = tensor(bool)|
-| |
-| |
-|**Operator Domain:** *com.microsoft*||||
-|Attention|*in* input:**T**<br> *in* weights:**T**<br> *in* bias:**T**<br> *in* mask_index:**M**<br> *in* past:**T**<br> *in* attention_bias:**T**<br> *in* past_sequence_length:**M**<br> *out* output:**T**<br> *out* present:**T**|1+|**T** = tensor(bfloat16), tensor(float), tensor(float16)|
-|BeamSearch|*in* input_ids:**F**<br> *in* max_length:**I**<br> *in* min_length:**I**<br> *in* num_beams:**I**<br> *in* num_return_sequences:**I**<br> *in* length_penalty:**T**<br> *in* repetition_penalty:**T**<br> *in* vocab_mask:**M**<br> *in* prefix_vocab_mask:**M**<br> *in* attention_mask:**I**<br> *in* decoder_input_ids:**I**<br> *in* logits_processor:**I**<br> *out* sequences:**I**<br> *out* sequences_scores:**T**<br> *out* scores:**T**|1+|**T** = tensor(float), tensor(float16)|
-|BiasAdd|*in* X:**T**<br> *in* bias:**T**<br> *in* skip:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|BiasDropout|*in* data:**T**<br> *in* bias:**T**<br> *in* residual:**T**<br> *in* ratio:**T1**<br> *in* training_mode:**T2**<br> *out* output:**T**<br> *out* mask:**T2**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|BiasGelu|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|BiasSoftmax|*in* data:**T**<br> *in* bias:**T**<br> *out* output:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|BiasSplitGelu|*in* X:**T**<br> *in* bias:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|BitmaskBiasDropout|*in* data:**T**<br> *in* bias:**T**<br> *in* residual:**T**<br> *in* ratio:**T1**<br> *in* training_mode:**T2**<br> *out* output:**T**<br> *out* mask:**T3**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)<br/> **T3** = tensor(uint32)|
-|BitmaskDropout|*in* data:**T**<br> *in* ratio:**T1**<br> *in* training_mode:**T2**<br> *out* output:**T**<br> *out* mask:**T3**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)<br/> **T3** = tensor(uint32)|
-|ComplexMul|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(float), tensor(float16)|
-|ComplexMulConj|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(float), tensor(float16)|
-|ConvTransposeWithDynamicPads|*in* X:**T**<br> *in* W:**T**<br> *in* Pads:**tensor(int64)**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
-|DecoderAttention|*in* query:**T**<br> *in* key:**T**<br> *in* q_weight:**T**<br> *in* kv_weight:**T**<br> *in* bias:**T**<br> *in* key_padding_mask:**B**<br> *in* key_cache:**T**<br> *in* value_cache:**T**<br> *in* static_kv:**B**<br> *in* use_past:**B**<br> *in* has_layer_state:**B**<br> *in* has_key_padding_mask:**B**<br> *out* output:**T**<br> *out* new_key_cache:**T**<br> *out* new_value_cache:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DecoderMaskedMultiHeadAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* mask_index:**M**<br> *in* attention_bias:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* past_sequence_length:**M**<br> *in* beam_width:**M**<br> *in* cache_indirection:**M**<br> *in* bias:**T**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**<br> *out* qk:**QK**|1+|**QK** = tensor(float), tensor(float16)<br/> **T** = tensor(float), tensor(float16)|
-|DecoderMaskedSelfAttention|*in* input:**T**<br> *in* weights:**T**<br> *in* bias:**T**<br> *in* mask_index:**M**<br> *in* past:**T**<br> *in* attention_bias:**T**<br> *in* past_sequence_length:**M**<br> *in* beam_width:**M**<br> *in* cache_indirection:**M**<br> *out* output:**T**<br> *out* present:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DequantizeLinear|*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T2**|1+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(float16)|
-|DequantizeWithOrder|*in* input:**Q**<br> *in* scale_input:**S**<br> *out* output:**F**|1+|**F** = tensor(float), tensor(float16)<br/> **Q** = tensor(int8)<br/> **S** = tensor(float)|
-|DynamicTimeWarping|*in* input:**F**<br> *out* output:**I**|1+|**F** = tensor(float)<br/> **I** = tensor(int32)|
-|EmbedLayerNormalization|*in* input_ids:**T1**<br> *in* segment_ids:**T1**<br> *in* word_embedding:**T**<br> *in* position_embedding:**T**<br> *in* segment_embedding:**T**<br> *in* gamma:**T**<br> *in* beta:**T**<br> *in* mask:**T1**<br> *in* position_ids:**T1**<br> *out* output:**T**<br> *out* mask_index:**T1**<br> *out* embedding_sum:**T**|1+|**T** = tensor(float), tensor(float16)|
-|FastGelu|*in* X:**T**<br> *in* bias:**T**<br> *out* Y:**T**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|FusedConv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *in* Z:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
-|FusedMatMul|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|GatedRelativePositionBias|*in* query_layer:**T**<br> *in* query_bias:**T**<br> *in* rel_pos:**T**<br> *in* weight:**T**<br> *in* bias:**T**<br> *in* eco_a:**T**<br> *in* token_offset:**M**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|GatherBlockQuantized|*in* data:**T1**<br> *in* indices:**Tind**<br> *in* scales:**T2**<br> *in* zero_points:**T1**<br> *out* output:**T2**|1+|**T1** = tensor(int4), tensor(uint4), tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(float), tensor(float16)<br/> **Tind** = tensor(int32), tensor(int64)|
-|Gelu|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|GemmFloat8|*in* A:**TA**<br> *in* B:**TB**<br> *in* C:**TC**<br> *in* scaleA:**TS**<br> *in* scaleB:**TS**<br> *in* scaleY:**TS**<br> *out* Y:**TR**|1+|**TA** = tensor(bfloat16), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2)<br/> **TB** = tensor(bfloat16), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2)<br/> **TR** = tensor(bfloat16), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2)<br/> **TS** = tensor(float)|
-|GemmaRotaryEmbedding|*in* emb:**U**<br> *in* q:**T**<br> *in* q_rot:**T**<br> *in* k:**T**<br> *in* k_rot:**T**<br> *out* output1:**T**<br> *out* output2:**T**|1+|**T** = tensor(float16)<br/> **U** = tensor(float)|
-|GreedySearch|*in* input_ids:**I**<br> *in* max_length:**I**<br> *in* min_length:**I**<br> *in* repetition_penalty:**T**<br> *in* vocab_mask:**I**<br> *in* prefix_vocab_mask:**I**<br> *in* attention_mask:**I**<br> *out* sequences:**I**|1+|**T** = tensor(float), tensor(float16)|
-|GridSample|*in* X:**T1**<br> *in* Grid:**T1**<br> *out* Y:**T2**|1+|**T1** = tensor(float)<br/> **T2** = tensor(float)|
-|GroupNorm|*in* X:**T**<br> *in* gamma:**M**<br> *in* beta:**M**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|GroupQueryAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* seqlens_k:**M**<br> *in* total_sequence_length:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *in* position_ids:**tensor(int64)**<br> *in* attention_bias:**T**<br> *in* head_sink:**T**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**<br> *out* output_qk:**T**|1+|**M** = tensor(int32)<br/> **T** = tensor(bfloat16), tensor(float16)|
-|Inverse|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|Irfft|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|LongformerAttention|*in* input:**T**<br> *in* weight:**T**<br> *in* bias:**T**<br> *in* mask:**T**<br> *in* global_weight:**T**<br> *in* global_bias:**T**<br> *in* global:**G**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|MatMulBnb4|*in* A:**T1**<br> *in* B:**T2**<br> *in* absmax:**T1**<br> *out* Y:**T1**|1+|**T1** = tensor(bfloat16), tensor(float), tensor(float16)<br/> **T2** = tensor(uint8)|
-|MatMulNBits|*in* A:**T1**<br> *in* B:**T2**<br> *in* scales:**T1**<br> *in* zero_points:**T3**<br> *in* g_idx:**T4**<br> *in* bias:**T1**<br> *out* Y:**T1**|1+|**T1** = tensor(bfloat16), tensor(float), tensor(float16)<br/> **T2** = tensor(uint8)<br/> **T3** = tensor(bfloat16), tensor(float), tensor(float16), tensor(uint8)|
-|MoE|*in* input:**T**<br> *in* router_probs:**T**<br> *in* fc1_experts_weights:**T**<br> *in* fc1_experts_bias:**T**<br> *in* fc2_experts_weights:**T**<br> *in* fc2_experts_bias:**T**<br> *in* fc3_experts_weights:**T**<br> *in* fc3_experts_bias:**T**<br> *out* output:**T**|1+|**T** = tensor(bfloat16), tensor(float), tensor(float16)|
-|MultiHeadAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* bias:**T**<br> *in* key_padding_mask:**M**<br> *in* attention_bias:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* past_sequence_length:**M**<br> *in* cache_indirection:**M**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**<br> *out* qk:**QK**|1+|**QK** = tensor(bfloat16), tensor(float), tensor(float16)<br/> **T** = tensor(bfloat16), tensor(float), tensor(float16)|
-|NGramRepeatBlock|*in* input_ids:**Tid**<br> *in* scores:**T**<br> *out* scores_out:**T**|1+|**T** = tensor(float)<br/> **Tid** = tensor(int64)|
-|NhwcConv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|PackedAttention|*in* input:**T**<br> *in* weights:**T**<br> *in* bias:**T**<br> *in* token_offset:**M**<br> *in* cumulative_sequence_length:**M**<br> *in* attention_bias:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|PackedMultiHeadAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* bias:**T**<br> *in* token_offset:**M**<br> *in* cumulative_sequence_length:**M**<br> *in* attention_bias:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|PagedAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* key_cache:**T**<br> *in* value_cache:**T**<br> *in* cumulative_sequence_length:**S**<br> *in* past_seqlens:**S**<br> *in* block_table:**S**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *out* output:**T**<br> *out* key_cache_out:**T**<br> *out* value_cache_out:**T**|1+|**S** = tensor(int32)<br/> **T** = tensor(bfloat16), tensor(float16)|
-|QAttention|*in* input:**T1**<br> *in* weight:**T2**<br> *in* bias:**T3**<br> *in* input_scale:**T3**<br> *in* weight_scale:**T3**<br> *in* mask_index:**T4**<br> *in* input_zero_point:**T1**<br> *in* weight_zero_point:**T2**<br> *in* past:**T3**<br> *out* output:**T3**<br> *out* present:**T3**|1+|**T1** = tensor(int8)<br/> **T2** = tensor(int8)<br/> **T3** = tensor(float), tensor(float16)<br/> **T4** = tensor(int32)|
-|QMoE|*in* input:**T**<br> *in* router_probs:**T**<br> *in* fc1_experts_weights:**T1**<br> *in* fc1_scales:**T2**<br> *in* fc1_experts_bias:**T**<br> *in* fc2_experts_weights:**T1**<br> *in* fc2_scales:**T2**<br> *in* fc2_experts_bias:**T**<br> *in* fc3_experts_weights:**T1**<br> *in* fc3_scales:**T2**<br> *in* fc3_experts_bias:**T**<br> *in* fc1_zero_points:**T1**<br> *in* fc2_zero_points:**T1**<br> *in* fc3_zero_points:**T1**<br> *out* output:**T**|1+|**T** = tensor(bfloat16), tensor(float16)<br/> **T1** = tensor(uint8)<br/> **T2** = tensor(bfloat16), tensor(float16)|
-|QOrderedAttention|*in* input:**Q**<br> *in* scale_input:**S**<br> *in* scale_Q_gemm:**S**<br> *in* scale_K_gemm:**S**<br> *in* scale_V_gemm:**S**<br> *in* Q_weight:**Q**<br> *in* K_weight:**Q**<br> *in* V_weight:**Q**<br> *in* scale_Q_weight:**S**<br> *in* scale_K_weight:**S**<br> *in* scale_V_weight:**S**<br> *in* Q_bias:**S**<br> *in* K_bias:**S**<br> *in* V_bias:**S**<br> *in* scale_QKT_gemm:**S**<br> *in* scale_QKT_softmax:**S**<br> *in* scale_values_gemm:**S**<br> *in* mask_index:**G**<br> *in* past:**Q**<br> *in* attention_bias:**S**<br> *out* output:**Q**|1+|**G** = tensor(int32)<br/> **Q** = tensor(int8)<br/> **S** = tensor(float)|
-|QOrderedGelu|*in* X:**Q**<br> *in* scale_X:**S**<br> *in* scale_Y:**S**<br> *out* Y:**Q**|1+|**Q** = tensor(int8)<br/> **S** = tensor(float)|
-|QOrderedLayerNormalization|*in* X:**Q**<br> *in* scale_X:**S**<br> *in* scale:**F**<br> *in* B:**F**<br> *in* scale_Y:**S**<br> *out* Y:**Q**|1+|**F** = tensor(float), tensor(float16)<br/> **Q** = tensor(int8)<br/> **S** = tensor(float)|
-|QOrderedLongformerAttention|*in* input:**Q**<br> *in* scale_input:**S**<br> *in* weight:**Q**<br> *in* scale_weight:**S**<br> *in* bias:**S**<br> *in* scale_bias:**S**<br> *in* scale_qkv_gemm:**S**<br> *in* mask:**F**<br> *in* global_weight:**Q**<br> *in* scale_global_weight:**S**<br> *in* global_bias:**S**<br> *in* scale_global_gemm:**S**<br> *in* global:**G**<br> *in* scale_output:**S**<br> *out* output:**Q**|1+|**F** = tensor(float16)<br/> **G** = tensor(int32)<br/> **Q** = tensor(int8)<br/> **S** = tensor(float)|
-|QOrderedMatMul|*in* A:**Q**<br> *in* scale_A:**S**<br> *in* B:**Q**<br> *in* scale_B:**S**<br> *in* scale_Y:**S**<br> *in* bias:**S**<br> *in* C:**Q**<br> *in* scale_C:**S**<br> *out* Y:**Q**|1+|**Q** = tensor(int8)<br/> **S** = tensor(float)|
-|QuantizeLinear|*in* x:**T1**<br> *in* y_scale:**T1**<br> *in* y_zero_point:**T2**<br> *out* y:**T2**|1+|**T1** = tensor(float16)<br/> **T2** = tensor(int8), tensor(uint8)|
-|QuantizeWithOrder|*in* input:**F**<br> *in* scale_input:**S**<br> *out* output:**Q**|1+|**F** = tensor(float), tensor(float16)<br/> **Q** = tensor(int8)<br/> **S** = tensor(float)|
-|QuickGelu|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|RelativePositionBias|*in* bias_table:**T**<br> *in* query_length:**U**<br> *in* key_length:**U**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|RemovePadding|*in* input:**T**<br> *in* sequence_token_count:**M**<br> *out* output:**T**<br> *out* token_offset:**M**<br> *out* cumulated_seq_len:**M**<br> *out* max_seq_len:**M**|1+|**T** = tensor(float), tensor(float16)|
-|RestorePadding|*in* input:**T**<br> *in* token_offset:**M**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|Rfft|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
-|RotaryEmbedding|*in* input:**T**<br> *in* position_ids:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *out* output:**T**|1+|**M** = tensor(int64)<br/> **T** = tensor(bfloat16), tensor(float), tensor(float16)|
-|Sampling|*in* input_ids:**I**<br> *in* max_length:**I**<br> *in* min_length:**I**<br> *in* repetition_penalty:**T**<br> *in* vocab_mask:**I**<br> *in* prefix_vocab_mask:**I**<br> *in* attention_mask:**I**<br> *in* presence_mask:**I**<br> *in* seed:**I**<br> *out* sequences:**I**<br> *out* filtered_logits:**T**|1+|**T** = tensor(float), tensor(float16)|
-|SkipGroupNorm|*in* X:**T**<br> *in* gamma:**M**<br> *in* beta:**M**<br> *in* skip:**T**<br> *in* bias:**T**<br> *out* Y:**T**<br> *out* S:**T**|1+|**T** = tensor(float), tensor(float16)|
-|SkipLayerNormalization|*in* input:**T**<br> *in* skip:**T**<br> *in* gamma:**T**<br> *in* beta:**T**<br> *in* bias:**T**<br> *out* output:**T**<br> *out* mean:**U**<br> *out* inv_std_var:**U**<br> *out* input_skip_bias_sum:**T**|1+|**T** = tensor(bfloat16), tensor(float), tensor(float16)|
-|SkipSimplifiedLayerNormalization|*in* input:**T**<br> *in* skip:**T**<br> *in* gamma:**T**<br> *in* bias:**T**<br> *out* output:**T**<br> *out* mean:**U**<br> *out* inv_std_var:**U**<br> *out* input_skip_bias_sum:**T**|1+|**T** = tensor(bfloat16), tensor(float), tensor(float16)|
-|SparseAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* block_row_indices:**M**<br> *in* block_col_indices:**M**<br> *in* total_sequence_length:**M**<br> *in* key_total_sequence_lengths:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**|1+|**M** = tensor(int32)<br/> **T** = tensor(bfloat16), tensor(float16)|
-|TransposeMatMul|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)|
-|Trilu|*in* X:**T**<br> *in* k:**tensor(int64)**<br> *out* Y:**T**|1+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|UnfoldTensor|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|WhisperBeamSearch|*in* input_ids:**F**<br> *in* max_length:**I**<br> *in* min_length:**I**<br> *in* num_beams:**I**<br> *in* num_return_sequences:**I**<br> *in* length_penalty:**T**<br> *in* repetition_penalty:**T**<br> *in* vocab_mask:**M**<br> *in* prefix_vocab_mask:**M**<br> *in* attention_mask:**I**<br> *in* decoder_input_ids:**I**<br> *in* logits_processor:**I**<br> *in* cross_qk_layer_head:**I**<br> *in* extra_decoding_ids:**I**<br> *in* temperature:**T**<br> *out* sequences:**I**<br> *out* sequences_scores:**T**<br> *out* scores:**T**<br> *out* cross_qk:**V**<br> *out* non_speech_probs:**T**|1+|**T** = tensor(float), tensor(float16)|
-| |
-| |
-|**Operator Domain:** *com.ms.internal.nhwc*||||
-|AveragePool|*in* X:**T**<br> *out* Y:**T**|22+|**T** = tensor(float), tensor(float16)|
-|||[19, 21]|**T** = tensor(float), tensor(float16)|
-|||[11, 18]|**T** = tensor(float), tensor(float16)|
-|||10|**T** = tensor(float), tensor(float16)|
-|||[7, 9]|**T** = tensor(float), tensor(float16)|
-|BatchNormalization|*in* X:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *in* input_mean:**U**<br> *in* input_var:**U**<br> *out* Y:**T**<br> *out* running_mean:**U**<br> *out* running_var:**U**<br><br>or<br><br>*in* X:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *in* mean:**T**<br> *in* var:**T**<br> *out* Y:**T**<br> *out* mean:**T**<br> *out* var:**T**<br> *out* saved_mean:**T**<br> *out* saved_var:**T**<br><br>or<br><br>*in* X:**T**<br> *in* scale:**T1**<br> *in* B:**T1**<br> *in* input_mean:**T2**<br> *in* input_var:**T2**<br> *out* Y:**T**<br> *out* running_mean:**T2**<br> *out* running_var:**T2**|15+|**T** = tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(double), tensor(float), tensor(float16)|
-|||14|**T** = tensor(double), tensor(float), tensor(float16)<br/> **U** = tensor(double), tensor(float), tensor(float16)|
-|||[9, 13]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[7, 8]|**T** = tensor(double), tensor(float), tensor(float16)|
-|Conv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|22+|**T** = tensor(float), tensor(float16)|
-|||[11, 21]|**T** = tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(float), tensor(float16)|
-|ConvTranspose|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|11+|**T** = tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(float), tensor(float16)|
-|DepthToSpace|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[11, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 10]|**T** = tensor(double), tensor(float), tensor(float16)|
-|GlobalAveragePool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|GlobalMaxPool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|GridSample|*in* X:**T1**<br> *in* grid:**T2**<br> *out* Y:**T1**|16+|**T1** = tensor(float)<br/> **T2** = tensor(float)|
-|LRN|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-|MaxPool|*in* X:**T**<br> *out* Y:**T**<br><br>or<br><br>*in* X:**T**<br> *out* Y:**T**<br> *out* Indices:**I**|12+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)|
-|||11|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16)|
-|||10|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16)|
-|||[8, 9]|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16)|
-|||[1, 7]|**T** = tensor(float), tensor(float16)|
-|SpaceToDepth|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(double), tensor(float), tensor(float16)|
-|||[1, 12]|**T** = tensor(double), tensor(float), tensor(float16)|
-| |
-| |
-
-
-<a name="dmlexecutionprovider"/>
-
-## Operators implemented by DmlExecutionProvider
-
-| Op Name | Parameters | OpSet Version | Types Supported |
-|---------|------------|---------------|-----------------|
-|**Operator Domain:** *ai.onnx*||||
-|Abs|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8)|
-|||6+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8)|
-|Acos|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(float), tensor(float16)|
-|Acosh|*in* input:**T**<br> *out* output:**T**|9+|**T** = tensor(float), tensor(float16)|
-|Add|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||7+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Affine|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|And|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|7+|**T** = tensor(bool)|
-|ArgMax|*in* data:**T**<br> *out* reduced:**tensor(int64)**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|ArgMin|*in* data:**T**<br> *out* reduced:**tensor(int64)**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Asin|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(float), tensor(float16)|
-|Asinh|*in* input:**T**<br> *out* output:**T**|9+|**T** = tensor(float), tensor(float16)|
-|Atan|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(float), tensor(float16)|
-|Atanh|*in* input:**T**<br> *out* output:**T**|9+|**T** = tensor(float), tensor(float16)|
-|AveragePool|*in* X:**T**<br> *out* Y:**T**|19+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||10+|**T** = tensor(float), tensor(float16)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|BatchNormalization|*in* X:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *in* input_mean:**U**<br> *in* input_var:**U**<br> *out* Y:**T**<br> *out* running_mean:**U**<br> *out* running_var:**U**<br><br>or<br><br>*in* X:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *in* mean:**T**<br> *in* var:**T**<br> *out* Y:**T**<br> *out* mean:**T**<br> *out* var:**T**<br> *out* saved_mean:**T**<br> *out* saved_var:**T**<br><br>or<br><br>*in* X:**T**<br> *in* scale:**T1**<br> *in* B:**T1**<br> *in* input_mean:**T2**<br> *in* input_var:**T2**<br> *out* Y:**T**<br> *out* running_mean:**T2**<br> *out* running_var:**T2**|15+|**T** = tensor(float), tensor(float16)|
-|||14+|**T** = tensor(float), tensor(float16)|
-|||9+|**T** = tensor(float), tensor(float16)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|BitShift|*in* X:**T**<br> *in* Y:**T**<br> *out* Z:**T**|11+|**T** = tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|BitwiseAnd|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|18+|**T** = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|BitwiseNot|*in* X:**T**<br> *out* Y:**T**|18+|**T** = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|BitwiseOr|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|18+|**T** = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|BitwiseXor|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|18+|**T** = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Cast|*in* input:**T1**<br> *out* output:**T2**|21+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||19+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||9+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||6+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|CastLike|*in* input:**T1**<br> *in* target_type:**T2**<br> *out* output:**T2**|21+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||19+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||15+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Ceil|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Celu|*in* X:**T**<br> *out* Y:**T**|12+|**T** = tensor(float), tensor(float16)|
-|Clip|*in* input:**T**<br> *in* min:**T**<br> *in* max:**T**<br> *out* output:**T**<br><br>or<br><br>*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Col2Im|*in* input:**T**<br> *in* image_shape:**tensor(int64)**<br> *in* block_shape:**tensor(int64)**<br> *out* output:**T**|18+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Concat|*in* inputs:**T**<br> *out* concat_result:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||4+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|ConcatFromSequence|*in* input_sequence:**S**<br> *out* concat_result:**T**|11+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|ConstantOfShape|*in* input:**T1**<br> *out* output:**T2**|21+|**T1** = tensor(int64)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||9+|**T1** = tensor(int64)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Conv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|ConvInteger|*in* x:**T1**<br> *in* w:**T2**<br> *in* x_zero_point:**T1**<br> *in* w_zero_point:**T2**<br> *out* y:**T3**|10+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(int8), tensor(uint8)<br/> **T3** = tensor(int32)|
-|ConvTranspose|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|Cos|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(float), tensor(float16)|
-|Cosh|*in* input:**T**<br> *out* output:**T**|9+|**T** = tensor(float), tensor(float16)|
-|Crop|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|CumSum|*in* x:**T**<br> *in* axis:**T2**<br> *out* y:**T**|14+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|DFT|*in* input:**T1**<br> *in* dft_length:**T2**<br> *in* axis:**tensor(int64)**<br> *out* output:**T1**<br><br>or<br><br>*in* input:**T1**<br> *in* dft_length:**T2**<br> *out* output:**T1**|20+|**T1** = tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(int32), tensor(int64)|
-|||17+|**T1** = tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(int32), tensor(int64)|
-|DepthToSpace|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|DequantizeLinear|*in* x:**T**<br> *in* x_scale:**tensor(float)**<br> *in* x_zero_point:**T**<br> *out* y:**tensor(float)**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T2**<br><br>or<br><br>*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T3**|21+|**T1** = tensor(int4), tensor(int8), tensor(uint4), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||19+|**T1** = tensor(int32), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||13+|**T** = tensor(int32), tensor(int8), tensor(uint8)|
-|||10+|**T** = tensor(int32), tensor(int8), tensor(uint8)|
-|Div|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||7+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Dropout|*in* data:**T**<br> *in* ratio:**T1**<br> *in* training_mode:**T2**<br> *out* output:**T**<br> *out* mask:**T2**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**<br> *out* mask:**T**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**<br> *out* mask:**T1**|7+|**T** = tensor(float), tensor(float16)|
-|DynamicQuantizeLinear|*in* x:**T1**<br> *out* y:**T2**<br> *out* y_scale:**tensor(float)**<br> *out* y_zero_point:**T2**|11+|**T1** = tensor(float)<br/> **T2** = tensor(int8), tensor(uint8)|
-|Einsum|*in* Inputs:**T**<br> *out* Output:**T**|12+|**T** = tensor(float), tensor(float16)|
-|Elu|*in* X:**T**<br> *out* Y:**T**|6+|**T** = tensor(float), tensor(float16)|
-|Equal|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|19+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||7+|**T** = tensor(float), tensor(float16)<br/> **T1** = tensor(bool)|
-|Erf|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||9+|**T** = tensor(float), tensor(float16)|
-|Exp|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Expand|*in* input:**T**<br> *in* shape:**tensor(int64)**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||8+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|EyeLike|*in* input:**T1**<br> *out* output:**T2**|9+|**T1** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Flatten|*in* input:**T**<br> *out* output:**T**|21+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||9+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Floor|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|GRU|*in* X:**T**<br> *in* W:**T**<br> *in* R:**T**<br> *in* B:**T**<br> *in* sequence_lens:**T1**<br> *in* initial_h:**T**<br> *out* Y:**T**<br> *out* Y_h:**T**|14+|**T** = tensor(float), tensor(float16)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|Gather|*in* data:**T**<br> *in* indices:**Tind**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|GatherElements|*in* data:**T**<br> *in* indices:**Tind**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|GatherND|*in* data:**T**<br> *in* indices:**tensor(int64)**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Gemm|*in* A:**T**<br> *in* B:**T**<br> *in* C:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||9+|**T** = tensor(float), tensor(float16)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|GlobalAveragePool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|GlobalLpPool|*in* X:**T**<br> *out* Y:**T**|2+|**T** = tensor(float), tensor(float16)|
-|GlobalMaxPool|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|Greater|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||9+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||7+|**T** = tensor(float), tensor(float16)<br/> **T1** = tensor(bool)|
-|GreaterOrEqual|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|16+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|GridSample|*in* X:**T1**<br> *in* grid:**T2**<br> *out* Y:**T1**|16+|**T1** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|GroupNorm||21+|**M** = tensor(float), tensor(float16)<br/> **T** = tensor(float), tensor(float16)|
-|HardSigmoid|*in* X:**T**<br> *out* Y:**T**|6+|**T** = tensor(float), tensor(float16)|
-|Hardmax|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|Identity|*in* input:**T**<br> *out* output:**T**<br><br>or<br><br>*in* input:**V**<br> *out* output:**V**|21+|**V** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||19+|**V** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||16+|**V** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||14+|**V** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|If|*in* cond:**B**<br> *out* outputs:**V**|19+|**B** = tensor(bool)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||16+|**B** = tensor(bool)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**B** = tensor(bool)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**B** = tensor(bool)<br/> **V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||7+|**B** = tensor(bool)<br/> **V** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|ImageScaler|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|InstanceNormalization|*in* input:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *out* output:**T**|6+|**T** = tensor(float), tensor(float16)|
-|IsInf|*in* X:**T1**<br> *out* Y:**T2**|20+|**T1** = tensor(float)<br/> **T2** = tensor(bool)|
-|||10+|**T1** = tensor(float)<br/> **T2** = tensor(bool)|
-|IsNaN|*in* X:**T1**<br> *out* Y:**T2**|20+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|||13+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|||9+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(bool)|
-|LRN|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|LSTM|*in* X:**T**<br> *in* W:**T**<br> *in* R:**T**<br> *in* B:**T**<br> *in* sequence_lens:**T1**<br> *in* initial_h:**T**<br> *in* initial_c:**T**<br> *in* P:**T**<br> *out* Y:**T**<br> *out* Y_h:**T**<br> *out* Y_c:**T**|14+|**T** = tensor(float), tensor(float16)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|LayerNormalization|*in* X:**T**<br> *in* Scale:**T**<br> *in* B:**T**<br> *out* Y:**T**<br> *out* Mean:**U**<br> *out* InvStdDev:**U**<br><br>or<br><br>*in* X:**T**<br> *in* Scale:**V**<br> *in* B:**V**<br> *out* Y:**V**<br> *out* Mean:**U**<br> *out* InvStdDev:**U**|17+|**T** = tensor(float), tensor(float16)<br/> **U** = tensor(float)|
-|||1+|**T** = tensor(float), tensor(float16)<br/> **U** = tensor(float), tensor(float16)<br/> **V** = tensor(float), tensor(float16)|
-|LeakyRelu|*in* X:**T**<br> *out* Y:**T**|16+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Less|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||9+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||7+|**T** = tensor(float), tensor(float16)<br/> **T1** = tensor(bool)|
-|LessOrEqual|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|16+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(bool)|
-|Log|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|LogSoftmax|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|LpNormalization|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|LpPool|*in* X:**T**<br> *out* Y:**T**|18+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||2+|**T** = tensor(float), tensor(float16)|
-|MatMul|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||9+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|MatMulInteger|*in* A:**T1**<br> *in* B:**T2**<br> *in* a_zero_point:**T1**<br> *in* b_zero_point:**T2**<br> *out* Y:**T3**|10+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(int8), tensor(uint8)<br/> **T3** = tensor(int32)|
-|Max|*in* data_0:**T**<br> *out* max:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||8+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|MaxPool|*in* X:**T**<br> *out* Y:**T**<br><br>or<br><br>*in* X:**T**<br> *out* Y:**T**<br> *out* Indices:**I**|12+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)|
-|||11+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)|
-|||10+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)|
-|||8+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|MaxRoiPool|*in* X:**T**<br> *in* rois:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|MaxUnpool|*in* X:**T1**<br> *in* I:**T2**<br> *in* output_shape:**T2**<br> *out* output:**T1**|11+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(int64)|
-|||9+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(int64)|
-|Mean|*in* data_0:**T**<br> *out* mean:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||8+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|MeanVarianceNormalization|*in* X:**T**<br> *out* Y:**T**<br><br>or<br><br>*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||9+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|MemcpyFromHost|*in* X:**T**<br> *out* Y:**T**|1+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)|
-|MemcpyToHost|*in* X:**T**<br> *out* Y:**T**|1+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)|
-|Min|*in* data_0:**T**<br> *out* min:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||8+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Mod|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|||10+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|Mul|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||7+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Neg|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8)|
-|||6+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8)|
-|NonZero|*in* X:**T**<br> *out* Y:**tensor(int64)**|13+|**T** = tensor(bool), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|||9+|**T** = tensor(bool), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|Not|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(bool)|
-|OneHot|*in* indices:**T1**<br> *in* depth:**T2**<br> *in* values:**T3**<br> *out* output:**T3**|11+|**T1** = tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T3** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||9+|**T1** = tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)<br/> **T2** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **T3** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|OptionalGetElement|*in* input:**O**<br> *out* output:**V**|18+|**O** = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||15+|**O** = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8))<br/> **V** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|OptionalHasElement|*in* input:**O**<br> *out* output:**B**|18+|**B** = tensor(bool)<br/> **O** = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||15+|**B** = tensor(bool)<br/> **O** = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8))|
-|Or|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|7+|**T** = tensor(bool)|
-|PRelu|*in* X:**T**<br> *in* slope:**T**<br> *out* Y:**T**|16+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8)|
-|||9+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|Pad|*in* data:**T**<br> *in* pads:**tensor(int64)**<br> *in* constant_value:**T**<br> *in* axes:**Tind**<br> *out* output:**T**<br><br>or<br><br>*in* data:**T**<br> *in* pads:**tensor(int64)**<br> *in* constant_value:**T**<br> *out* output:**T**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**|21+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||19+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||18+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||2+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|ParametricSoftplus|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|Pow|*in* X:**T**<br> *in* Y:**T**<br> *out* Z:**T**<br><br>or<br><br>*in* X:**T**<br> *in* Y:**T1**<br> *out* Z:**T**|15+|**T** = tensor(float), tensor(float16), tensor(int32)<br/> **T1** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int32)<br/> **T1** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int32)<br/> **T1** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|QLinearConv|*in* x:**T1**<br> *in* x_scale:**tensor(float)**<br> *in* x_zero_point:**T1**<br> *in* w:**T2**<br> *in* w_scale:**tensor(float)**<br> *in* w_zero_point:**T2**<br> *in* y_scale:**tensor(float)**<br> *in* y_zero_point:**T3**<br> *in* B:**T4**<br> *out* y:**T3**|10+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(int8), tensor(uint8)<br/> **T3** = tensor(int8), tensor(uint8)<br/> **T4** = tensor(int32)|
-|QLinearMatMul|*in* a:**T1**<br> *in* a_scale:**TS**<br> *in* a_zero_point:**T1**<br> *in* b:**T2**<br> *in* b_scale:**TS**<br> *in* b_zero_point:**T2**<br> *in* y_scale:**TS**<br> *in* y_zero_point:**T3**<br> *out* y:**T3**<br><br>or<br><br>*in* a:**T1**<br> *in* a_scale:**tensor(float)**<br> *in* a_zero_point:**T1**<br> *in* b:**T2**<br> *in* b_scale:**tensor(float)**<br> *in* b_zero_point:**T2**<br> *in* y_scale:**tensor(float)**<br> *in* y_zero_point:**T3**<br> *out* y:**T3**|21+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(int8), tensor(uint8)<br/> **T3** = tensor(int8), tensor(uint8)|
-|||10+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(int8), tensor(uint8)<br/> **T3** = tensor(int8), tensor(uint8)|
-|QuantizeLinear|*in* x:**T1**<br> *in* y_scale:**T1**<br> *in* y_zero_point:**T2**<br> *out* y:**T2**<br><br>or<br><br>*in* x:**T1**<br> *in* y_scale:**T2**<br> *in* y_zero_point:**T3**<br> *out* y:**T3**<br><br>or<br><br>*in* x:**T1**<br> *in* y_scale:**tensor(float)**<br> *in* y_zero_point:**T2**<br> *out* y:**T2**|21+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(int4), tensor(int8), tensor(uint4), tensor(uint8)|
-|||19+|**T1** = tensor(float), tensor(float16), tensor(int32)<br/> **T2** = tensor(int8), tensor(uint8)|
-|||13+|**T1** = tensor(float), tensor(int32)<br/> **T2** = tensor(int8), tensor(uint8)|
-|||10+|**T1** = tensor(float), tensor(int32)<br/> **T2** = tensor(int8), tensor(uint8)|
-|RNN|*in* X:**T**<br> *in* W:**T**<br> *in* R:**T**<br> *in* B:**T**<br> *in* sequence_lens:**T1**<br> *in* initial_h:**T**<br> *out* Y:**T**<br> *out* Y_h:**T**|14+|**T** = tensor(float), tensor(float16)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|Range|*in* start:**T**<br> *in* limit:**T**<br> *in* delta:**T**<br> *out* output:**T**|11+|**T** = tensor(float), tensor(int16), tensor(int32), tensor(int64)|
-|Reciprocal|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|ReduceL1|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||1+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|ReduceL2|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|ReduceLogSum|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|ReduceLogSumExp|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|ReduceMax|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|20+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|ReduceMean|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|ReduceMin|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|20+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||12+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|ReduceProd|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||1+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|ReduceSum|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||1+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|ReduceSumSquare|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* reduced:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reduced:**T**|18+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||11+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|||1+|**T** = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64)|
-|Relu|*in* X:**T**<br> *out* Y:**T**|14+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8)|
-|||13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Reshape|*in* data:**T**<br> *in* shape:**tensor(int64)**<br> *out* reshaped:**T**<br><br>or<br><br>*in* data:**T**<br> *out* reshaped:**T**|21+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||19+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||14+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||5+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Resize|*in* X:**T**<br> *in* scales:**tensor(float)**<br> *out* Y:**T**<br><br>or<br><br>*in* X:**T1**<br> *in* roi:**T2**<br> *in* scales:**tensor(float)**<br> *in* sizes:**tensor(int64)**<br> *out* Y:**T1**|19+|**T1** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||18+|**T1** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||13+|**T1** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||11+|**T1** = tensor(float), tensor(float16), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|||10+|**T** = tensor(float), tensor(float16)|
-|ReverseSequence|*in* input:**T**<br> *in* sequence_lens:**tensor(int64)**<br> *out* Y:**T**|10+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|RoiAlign|*in* X:**T1**<br> *in* rois:**T1**<br> *in* batch_indices:**T2**<br> *out* Y:**T1**|16+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(int32), tensor(int64)|
-|||10+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(int32), tensor(int64)|
-|Round|*in* X:**T**<br> *out* Y:**T**|11+|**T** = tensor(float), tensor(float16)|
-|STFT|*in* signal:**T1**<br> *in* frame_step:**T2**<br> *in* window:**T1**<br> *in* frame_length:**T2**<br> *out* output:**T1**|17+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(int32), tensor(int64)|
-|ScaledTanh|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|Scatter|*in* data:**T**<br> *in* indices:**Tind**<br> *in* updates:**T**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||9+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|ScatterElements|*in* data:**T**<br> *in* indices:**Tind**<br> *in* updates:**T**<br> *out* output:**T**|16+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|ScatterND|*in* data:**T**<br> *in* indices:**tensor(int64)**<br> *in* updates:**T**<br> *out* output:**T**|16+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Selu|*in* X:**T**<br> *out* Y:**T**|6+|**T** = tensor(float), tensor(float16)|
-|SequenceAt|*in* input_sequence:**S**<br> *in* position:**I**<br> *out* tensor:**T**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))<br/> **T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|SequenceConstruct|*in* inputs:**T**<br> *out* output_sequence:**S**|11+|**S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))<br/> **T** = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|SequenceEmpty|*out* output:**S**|11+|**S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|SequenceErase|*in* input_sequence:**S**<br> *in* position:**I**<br> *out* output_sequence:**S**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|SequenceInsert|*in* input_sequence:**S**<br> *in* tensor:**T**<br> *in* position:**I**<br> *out* output_sequence:**S**|11+|**I** = tensor(int32), tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|SequenceLength|*in* input_sequence:**S**<br> *out* length:**I**|11+|**I** = tensor(int64)<br/> **S** = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8))|
-|Shape|*in* data:**T**<br> *out* shape:**T1**|21+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||19+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||15+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||13+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||1+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|Shrink|*in* input:**T**<br> *out* output:**T**|9+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8)|
-|Sigmoid|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Sign|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||9+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|SimplifiedLayerNormalization|*in* X:**T**<br> *in* scale:**V**<br> *out* Y:**V**<br> *out* inv_std_var:**U**|1+|**T** = tensor(float), tensor(float16)<br/> **U** = tensor(float), tensor(float16)<br/> **V** = tensor(float), tensor(float16)|
-|Sin|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(float), tensor(float16)|
-|Sinh|*in* input:**T**<br> *out* output:**T**|9+|**T** = tensor(float), tensor(float16)|
-|Size|*in* data:**T**<br> *out* size:**T1**|21+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||19+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||13+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|||1+|**T** = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8)<br/> **T1** = tensor(int64)|
-|Slice|*in* data:**T**<br> *in* starts:**Tind**<br> *in* ends:**Tind**<br> *in* axes:**Tind**<br> *in* steps:**Tind**<br> *out* output:**T**<br><br>or<br><br>*in* data:**T**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||10+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)<br/> **Tind** = tensor(int32), tensor(int64)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Softmax|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||11+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|Softplus|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|Softsign|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|SpaceToDepth|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Split|*in* input:**T**<br> *in* split:**T**<br> *out* outputs...:**T**<br><br>or<br><br>*in* input:**T**<br> *in* split:**tensor(int64)**<br> *out* outputs:**T**<br><br>or<br><br>*in* input:**T**<br> *out* outputs:**T**|18+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||2+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Sqrt|*in* X:**T**<br> *out* Y:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Squeeze|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* squeezed:**T**<br><br>or<br><br>*in* data:**T**<br> *out* squeezed:**T**|21+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Sub|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|14+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||7+|**T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Sum|*in* data_0:**T**<br> *out* sum:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||8+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|Tan|*in* input:**T**<br> *out* output:**T**|7+|**T** = tensor(float), tensor(float16)|
-|Tanh|*in* input:**T**<br> *out* output:**T**|13+|**T** = tensor(float), tensor(float16)|
-|||6+|**T** = tensor(float), tensor(float16)|
-|ThresholdedRelu|*in* X:**T**<br> *out* Y:**T**|10+|**T** = tensor(float), tensor(float16)|
-|||1+|**T** = tensor(float), tensor(float16)|
-|Tile|*in* input:**T**<br> *in* repeats:**T1**<br> *out* output:**T**<br><br>or<br><br>*in* input:**T**<br> *in* tiles:**T**<br> *in* axis:**T**<br> *out* output:**T**|13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||6+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|TopK|*in* X:**T**<br> *in* K:**tensor(int64)**<br> *out* Values:**T**<br> *out* Indices:**I**<br><br>or<br><br>*in* X:**T**<br> *out* Values:**T**<br> *out* Indices:**I**|11+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||10+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**I** = tensor(int64)<br/> **T** = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Transpose|*in* data:**T**<br> *out* transposed:**T**|21+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Trilu|*in* input:**T**<br> *in* k:**tensor(int64)**<br> *out* output:**T**|14+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Unsqueeze|*in* data:**T**<br> *in* axes:**tensor(int64)**<br> *out* expanded:**T**<br><br>or<br><br>*in* data:**T**<br> *out* expanded:**T**|21+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||13+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||11+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||1+|**T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Upsample|*in* X:**T**<br> *in* scales:**tensor(float)**<br> *out* Y:**T**<br><br>or<br><br>*in* X:**T**<br> *out* Y:**T**|10+|**T** = tensor(float), tensor(float16)|
-|||9+|**T** = tensor(float), tensor(float16)|
-|||7+|**T** = tensor(float), tensor(float16)|
-|Where|*in* condition:**B**<br> *in* X:**T**<br> *in* Y:**T**<br> *out* output:**T**|16+|**B** = tensor(bool)<br/> **T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|||9+|**B** = tensor(bool)<br/> **T** = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8)|
-|Xor|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T1**|7+|**T** = tensor(bool)|
-| |
-| |
-|**Operator Domain:** *com.microsoft*||||
-|Attention|*in* input:**T**<br> *in* weights:**T**<br> *in* bias:**T**<br> *in* mask_index:**M**<br> *in* past:**T**<br> *in* attention_bias:**T**<br> *in* past_sequence_length:**M**<br> *out* output:**T**<br> *out* present:**T**|1+|**M** = tensor(int32)<br/> **T** = tensor(float), tensor(float16)|
-|BiasAdd|*in* X:**T**<br> *in* bias:**T**<br> *in* skip:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|BiasGelu|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(float), tensor(float16)|
-|BiasSplitGelu|*in* X:**T**<br> *in* bias:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|ConvTransposeWithDynamicPads|*in* X:**T**<br> *in* W:**T**<br> *in* Pads:**tensor(int64)**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DequantizeLinear|*in* x:**T1**<br> *in* x_scale:**T2**<br> *in* x_zero_point:**T1**<br> *out* y:**T2**|1+|**T1** = tensor(int32), tensor(int8), tensor(uint8)<br/> **T2** = tensor(float), tensor(float16)|
-|DynamicQuantizeMatMul|*in* A:**T1**<br> *in* B:**T2**<br> *in* b_scale:**T1**<br> *in* b_zero_point:**T2**<br> *in* bias:**T1**<br> *out* Y:**T1**|1+|**T1** = tensor(float)<br/> **T2** = tensor(int8), tensor(uint8)|
-|EmbedLayerNormalization|*in* input_ids:**T1**<br> *in* segment_ids:**T1**<br> *in* word_embedding:**T**<br> *in* position_embedding:**T**<br> *in* segment_embedding:**T**<br> *in* gamma:**T**<br> *in* beta:**T**<br> *in* mask:**T1**<br> *in* position_ids:**T1**<br> *out* output:**T**<br> *out* mask_index:**T1**<br> *out* embedding_sum:**T**|1+|**T** = tensor(float), tensor(float16)|
-|FastGelu|*in* X:**T**<br> *in* bias:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|FusedMatMul|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|FusedMatMulActivation|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|Gelu|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|GroupNorm|*in* X:**T**<br> *in* gamma:**M**<br> *in* beta:**M**<br> *out* Y:**T**|1+|**M** = tensor(float), tensor(float16)<br/> **T** = tensor(float), tensor(float16)|
-|GroupQueryAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* seqlens_k:**M**<br> *in* total_sequence_length:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *in* position_ids:**tensor(int64)**<br> *in* attention_bias:**T**<br> *in* head_sink:**T**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**<br> *out* output_qk:**T**|1+|**M** = tensor(int32)<br/> **T** = tensor(float), tensor(float16)|
-|MatMulIntegerToFloat|*in* A:**T1**<br> *in* B:**T2**<br> *in* a_scale:**T3**<br> *in* b_scale:**T3**<br> *in* a_zero_point:**T1**<br> *in* b_zero_point:**T2**<br> *in* bias:**T3**<br> *out* Y:**T3**|1+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(int8), tensor(uint8)<br/> **T3** = tensor(float), tensor(float16)|
-|MatMulNBits|*in* A:**T1**<br> *in* B:**T2**<br> *in* scales:**T1**<br> *in* zero_points:**T3**<br> *in* g_idx:**T4**<br> *in* bias:**T1**<br> *out* Y:**T1**|1+|**T1** = tensor(float), tensor(float16)<br/> **T2** = tensor(uint8)|
-|MultiHeadAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* bias:**T**<br> *in* key_padding_mask:**M**<br> *in* attention_bias:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* past_sequence_length:**M**<br> *in* cache_indirection:**M**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**<br> *out* qk:**QK**|1+|**M** = tensor(int32)<br/> **T** = tensor(float), tensor(float16)|
-|NhwcConv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|QAttention|*in* input:**T1**<br> *in* weight:**T2**<br> *in* bias:**T3**<br> *in* input_scale:**T3**<br> *in* weight_scale:**T3**<br> *in* mask_index:**T4**<br> *in* input_zero_point:**T1**<br> *in* weight_zero_point:**T2**<br> *in* past:**T3**<br> *out* output:**T3**<br> *out* present:**T3**|1+|**T1** = tensor(int8), tensor(uint8)<br/> **T2** = tensor(int8), tensor(uint8)<br/> **T3** = tensor(float), tensor(float16)<br/> **T4** = tensor(int32)|
-|QLinearAdd|*in* A:**T**<br> *in* A_scale:**tensor(float)**<br> *in* A_zero_point:**T**<br> *in* B:**T**<br> *in* B_scale:**tensor(float)**<br> *in* B_zero_point:**T**<br> *in* C_scale:**tensor(float)**<br> *in* C_zero_point:**T**<br> *out* C:**T**|1+|**T** = tensor(int8), tensor(uint8)|
-|QLinearAveragePool|*in* X:**T**<br> *in* x_scale:**tensor(float)**<br> *in* x_zero_point:**T**<br> *in* y_scale:**tensor(float)**<br> *in* y_zero_point:**T**<br> *out* Y:**T**|1+|**T** = tensor(int8), tensor(uint8)|
-|QLinearConcat|*in* Y_scale:**TF**<br> *in* Y_zero_point:**T8**<br> *in* inputs:**TV**<br> *out* Y:**T8**|1+|**T8** = tensor(int8), tensor(uint8)<br/> **TF** = tensor(float)<br/> **TV** = tensor(float), tensor(int8), tensor(uint8)|
-|QLinearGlobalAveragePool|*in* X:**T**<br> *in* x_scale:**tensor(float)**<br> *in* x_zero_point:**T**<br> *in* y_scale:**tensor(float)**<br> *in* y_zero_point:**T**<br> *out* Y:**T**|1+|**T** = tensor(int8), tensor(uint8)|
-|QLinearSigmoid|*in* X:**T**<br> *in* X_scale:**tensor(float)**<br> *in* X_zero_point:**T**<br> *in* Y_scale:**tensor(float)**<br> *in* Y_zero_point:**T**<br> *out* Y:**T**|1+|**T** = tensor(int8), tensor(uint8)|
-|QuantizeLinear|*in* x:**T1**<br> *in* y_scale:**T1**<br> *in* y_zero_point:**T2**<br> *out* y:**T2**|1+|**T1** = tensor(float), tensor(float16), tensor(int32)<br/> **T2** = tensor(int8), tensor(uint8)|
-|QuickGelu|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|RotaryEmbedding|*in* input:**T**<br> *in* position_ids:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *out* output:**T**|1+|**M** = tensor(int64)<br/> **T** = tensor(float), tensor(float16)|
-|SkipLayerNormalization|*in* input:**T**<br> *in* skip:**T**<br> *in* gamma:**T**<br> *in* beta:**T**<br> *in* bias:**T**<br> *out* output:**T**<br> *out* mean:**U**<br> *out* inv_std_var:**U**<br> *out* input_skip_bias_sum:**T**|1+|**T** = tensor(float), tensor(float16)|
-|SkipSimplifiedLayerNormalization|*in* input:**T**<br> *in* skip:**T**<br> *in* gamma:**T**<br> *in* bias:**T**<br> *out* output:**T**<br> *out* mean:**U**<br> *out* inv_std_var:**U**<br> *out* input_skip_bias_sum:**T**|1+|**T** = tensor(float), tensor(float16)|
-| |
-| |
-|**Operator Domain:** *com.microsoft.dml*||||
-|DmlFusedAdd|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedBatchNormalization|*in* X:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *in* mean:**T**<br> *in* var:**T**<br> *out* Y:**T**<br> *out* mean:**T**<br> *out* var:**T**<br> *out* saved_mean:**T**<br> *out* saved_var:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedConv|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedConvTranspose|*in* X:**T**<br> *in* W:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedGemm|*in* A:**T**<br> *in* B:**T**<br> *in* C:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedInstanceNormalization|*in* input:**T**<br> *in* scale:**T**<br> *in* B:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedMatMul|*in* A:**T**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedMeanVarianceNormalization|*in* input:**T**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
-|DmlFusedSum|*in* data_0:**T**<br> *out* sum:**T**|1+|**T** = tensor(float), tensor(float16)|
-| |
-| |
diff --git a/onnxruntime/core/framework/kernel_type_str_resolver_utils.cc b/onnxruntime/core/framework/kernel_type_str_resolver_utils.cc
index 0a6d53f6af1f3..65ad60f478d78 100644
--- a/onnxruntime/core/framework/kernel_type_str_resolver_utils.cc
+++ b/onnxruntime/core/framework/kernel_type_str_resolver_utils.cc
@@ -53,326 +53,368 @@ Status AddLayoutTransformationRequiredOpsToKernelTypeStrResolver(KernelTypeStrRe
   // clang-format off
   constexpr uint8_t kLayoutTransformationRequiredOpsKernelTypeStrResolverBytes[] = {
       0x10, 0x00, 0x00, 0x00, 0x6b, 0x74, 0x73, 0x72, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x04, 0x00,
-      0x06, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x2c, 0x00, 0x00, 0x00, 0x98, 0x05, 0x00, 0x00,
-      0x08, 0x12, 0x00, 0x00, 0x8c, 0x0b, 0x00, 0x00, 0xb0, 0x06, 0x00, 0x00, 0x3c, 0x0e, 0x00, 0x00,
-      0x54, 0x0a, 0x00, 0x00, 0xc0, 0x0d, 0x00, 0x00, 0x94, 0x00, 0x00, 0x00, 0xb0, 0x08, 0x00, 0x00,
-      0x80, 0x09, 0x00, 0x00, 0x64, 0x0d, 0x00, 0x00, 0x74, 0x0f, 0x00, 0x00, 0x08, 0x10, 0x00, 0x00,
-      0xb8, 0x0f, 0x00, 0x00, 0x7c, 0x12, 0x00, 0x00, 0x74, 0x0c, 0x00, 0x00, 0xf8, 0x07, 0x00, 0x00,
-      0xd4, 0x00, 0x00, 0x00, 0xcc, 0x0b, 0x00, 0x00, 0x84, 0x10, 0x00, 0x00, 0x9c, 0x09, 0x00, 0x00,
-      0xd8, 0x05, 0x00, 0x00, 0xa4, 0x0c, 0x00, 0x00, 0x94, 0x07, 0x00, 0x00, 0xfc, 0x10, 0x00, 0x00,
-      0x24, 0x07, 0x00, 0x00, 0x3c, 0x11, 0x00, 0x00, 0xe8, 0x12, 0x00, 0x00, 0x5c, 0x03, 0x00, 0x00,
-      0xe0, 0x0e, 0x00, 0x00, 0xd0, 0x0a, 0x00, 0x00, 0x08, 0x08, 0x00, 0x00, 0x7c, 0x0a, 0x00, 0x00,
-      0x84, 0x12, 0x00, 0x00, 0xb4, 0x06, 0x00, 0x00, 0xf8, 0x0f, 0x00, 0x00, 0x58, 0x0e, 0x00, 0x00,
-      0x98, 0x04, 0x00, 0x00, 0xa0, 0x08, 0x00, 0x00, 0x24, 0x04, 0x00, 0x00, 0x94, 0x03, 0x00, 0x00,
-      0xd0, 0x02, 0x00, 0x00, 0x88, 0x01, 0x00, 0x00, 0xfc, 0x00, 0x00, 0x00, 0x04, 0xed, 0xff, 0xff,
-      0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x34, 0x00, 0x00, 0x00,
-      0x14, 0x00, 0x00, 0x00, 0x0a, 0x00, 0x00, 0x00, 0x3a, 0x47, 0x61, 0x74, 0x68, 0x65, 0x72, 0x3a,
-      0x31, 0x31, 0x00, 0x00, 0x2c, 0xed, 0xff, 0xff, 0x54, 0x0d, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
-      0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x50, 0xed, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00,
-      0x48, 0xed, 0xff, 0xff, 0xc8, 0x12, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
-      0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x36, 0xed, 0xff, 0xff, 0x00, 0x00, 0x00, 0x01,
-      0x30, 0xed, 0xff, 0xff, 0x6c, 0xed, 0xff, 0xff, 0x18, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
-      0x03, 0x00, 0x00, 0x00, 0x4c, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x5c, 0x00, 0x00, 0x00,
-      0x12, 0x00, 0x00, 0x00, 0x3a, 0x51, 0x75, 0x61, 0x6e, 0x74, 0x69, 0x7a, 0x65, 0x4c, 0x69, 0x6e,
-      0x65, 0x61, 0x72, 0x3a, 0x31, 0x30, 0x00, 0x00, 0xa0, 0xed, 0xff, 0xff, 0xe8, 0x0f, 0x00, 0x00,
-      0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
-      0x8e, 0xed, 0xff, 0xff, 0x00, 0x00, 0x00, 0x01, 0xd0, 0xed, 0xff, 0xff, 0x02, 0x00, 0x00, 0x00,
-      0xc8, 0xed, 0xff, 0xff, 0x94, 0x0f, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
-      0x04, 0x00, 0x00, 0x00, 0xa4, 0xed, 0xff, 0xff, 0xe0, 0xed, 0xff, 0xff, 0xec, 0x0a, 0x00, 0x00,
-      0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x04, 0xee, 0xff, 0xff,
-      0x01, 0x00, 0x00, 0x00, 0xfc, 0xed, 0xff, 0xff, 0x14, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
-      0x02, 0x00, 0x00, 0x00, 0x54, 0x00, 0x00, 0x00, 0x28, 0x00, 0x00, 0x00, 0x1e, 0x00, 0x00, 0x00,
-      0x63, 0x6f, 0x6d, 0x2e, 0x6d, 0x69, 0x63, 0x72, 0x6f, 0x73, 0x6f, 0x66, 0x74, 0x3a, 0x51, 0x75,
-      0x61, 0x6e, 0x74, 0x69, 0x7a, 0x65, 0x4c, 0x69, 0x6e, 0x65, 0x61, 0x72, 0x3a, 0x31, 0x00, 0x00,
-      0x38, 0xee, 0xff, 0xff, 0x50, 0x0f, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
-      0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x26, 0xee, 0xff, 0xff, 0x00, 0x00, 0x00, 0x01,
-      0x68, 0xee, 0xff, 0xff, 0x02, 0x00, 0x00, 0x00, 0x60, 0xee, 0xff, 0xff, 0xfc, 0x0e, 0x00, 0x00,
-      0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
-      0x88, 0xee, 0xff, 0xff, 0x01, 0x00, 0x00, 0x00, 0x48, 0xee, 0xff, 0xff, 0x84, 0xee, 0xff, 0xff,
-      0x28, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x07, 0x00, 0x00, 0x00, 0xe8, 0x00, 0x00, 0x00,
-      0xa0, 0x00, 0x00, 0x00, 0x74, 0x00, 0x00, 0x00, 0x30, 0x00, 0x00, 0x00, 0xfc, 0x00, 0x00, 0x00,
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-      0x6d, 0x69, 0x63, 0x72, 0x6f, 0x73, 0x6f, 0x66, 0x74, 0x3a, 0x51, 0x4c, 0x69, 0x6e, 0x65, 0x61,
-      0x72, 0x43, 0x6f, 0x6e, 0x76, 0x3a, 0x31, 0x00, 0xd0, 0xee, 0xff, 0xff, 0x08, 0x00, 0x00, 0x00,
-      0x0c, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x54, 0x34, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
-      0x04, 0x00, 0x00, 0x00, 0xfc, 0xee, 0xff, 0xff, 0x08, 0x00, 0x00, 0x00, 0xf4, 0xee, 0xff, 0xff,
-      0xd8, 0x09, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00,
-      0x18, 0xef, 0xff, 0xff, 0x06, 0x00, 0x00, 0x00, 0x10, 0xef, 0xff, 0xff, 0x10, 0x0c, 0x00, 0x00,
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-      0x65, 0x65, 0x7a, 0x65, 0x3a, 0x32, 0x33, 0x00, 0xd0, 0xff, 0xff, 0xff, 0x08, 0x00, 0x00, 0x00,
-      0x10, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x61, 0x78, 0x65, 0x73, 0x00, 0x00, 0x00, 0x00,
-      0x01, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00,
-      0x08, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x08, 0x00, 0x0c, 0x00, 0x04, 0x00, 0x08, 0x00,
-      0x08, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00,
-      0x54, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x1c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00,
-      0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x07, 0x00, 0x06, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01,
-      0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00,
+      0x04, 0x00, 0x00, 0x00, 0x7a, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x01, 0xac, 0xff, 0xff, 0xff,
+      0x64, 0x00, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00,
+      0x0c, 0x00, 0x00, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x04, 0x00, 0x08, 0x00, 0x00, 0x00,
+      0x02, 0x00, 0x00, 0x00, 0x9c, 0xff, 0xff, 0xff, 0xd8, 0xff, 0xff, 0xff, 0x10, 0x00, 0x00, 0x00,
+      0x04, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x20, 0x00, 0x00, 0x00, 0x0d, 0x00, 0x00, 0x00,
+      0x3a, 0x55, 0x6e, 0x73, 0x71, 0x75, 0x65, 0x65, 0x7a, 0x65, 0x3a, 0x31, 0x31, 0x00, 0x00, 0x00,
+      0x08, 0x00, 0x0c, 0x00, 0x04, 0x00, 0x08, 0x00, 0x08, 0x00, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00,
+      0x0c, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x54, 0x00, 0x00, 0x00, 0x02, 0x00, 0x00, 0x00,
+      0x1c, 0x00, 0x00, 0x00, 0x0c, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x00, 0x08, 0x00, 0x07, 0x00,
+      0x06, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x01, 0x04, 0x00, 0x04, 0x00, 0x04, 0x00, 0x00, 0x00,
   };
   // clang-format on
 
diff --git a/onnxruntime/core/graph/contrib_ops/bert_defs.cc b/onnxruntime/core/graph/contrib_ops/bert_defs.cc
index de0061417531a..deaa77a204a7f 100644
--- a/onnxruntime/core/graph/contrib_ops/bert_defs.cc
+++ b/onnxruntime/core/graph/contrib_ops/bert_defs.cc
@@ -1795,6 +1795,7 @@ ONNX_MS_OPERATOR_SET_SCHEMA(
         .Output(0, "Y", "output tensor", "T")
         .TypeConstraint("T", {"tensor(float)", "tensor(double)", "tensor(float16)", "tensor(bfloat16)"}, "Constrain input and output types to float or half tensors.")
         .TypeAndShapeInferenceFunction(ONNX_NAMESPACE::propagateShapeAndTypeFromFirstInput)
+        .SetNodeDeterminism(OpSchema::NodeDeterminism::Deterministic)
         .SetContextDependentFunctionBodyBuilder([](const FunctionBodyBuildContext& ctx, const OpSchema& schema, FunctionProto& functionProto) {
           // fastgelu(x) =
           auto* tp = ctx.getInputType(0);
diff --git a/onnxruntime/core/graph/contrib_ops/contrib_defs.cc b/onnxruntime/core/graph/contrib_ops/contrib_defs.cc
index dfee139743d89..cb562806faecf 100644
--- a/onnxruntime/core/graph/contrib_ops/contrib_defs.cc
+++ b/onnxruntime/core/graph/contrib_ops/contrib_defs.cc
@@ -559,6 +559,7 @@ ONNX_MS_OPERATOR_SET_SCHEMA(Gelu, 1,
                                     {"tensor(float16)", "tensor(float)", "tensor(double)", "tensor(bfloat16)"},
                                     "Constrain input and output types to float tensors.")
                                 .TypeAndShapeInferenceFunction(ONNX_NAMESPACE::propagateShapeAndTypeFromFirstInput)
+                                .SetNodeDeterminism(OpSchema::NodeDeterminism::Deterministic)
                                 .SetContextDependentFunctionBodyBuilder([](const FunctionBodyBuildContext& ctx, const OpSchema& schema, FunctionProto& functionProto) {
                                   // gelu(x) = x * Phi(x) = x * 1/2(1+erf(x/sqrt(2)))
                                   auto* tp = ctx.getInputType(0);
@@ -614,6 +615,7 @@ ONNX_MS_OPERATOR_SET_SCHEMA(
         .TypeConstraint("T", {"tensor(float16)", "tensor(float)", "tensor(double)", "tensor(bfloat16)"},
                         "Constrain input and output types to float tensors.")
         .TypeAndShapeInferenceFunction(ONNX_NAMESPACE::propagateShapeAndTypeFromFirstInput)
+        .SetNodeDeterminism(OpSchema::NodeDeterminism::Deterministic)
         .SetContextDependentFunctionBodyBuilder([](const FunctionBodyBuildContext& ctx, const OpSchema& schema,
                                                    FunctionProto& functionProto) {
           auto* tp = ctx.getInputType(0);
@@ -2997,6 +2999,7 @@ void RegisterContribSchemas() {
             saved_inv_std_dev_shape->mutable_dim(static_cast<int>(d))->set_dim_value(1);
         }
       })
+      .SetNodeDeterminism(OpSchema::NodeDeterminism::Deterministic)
       .SetContextDependentFunctionBodyBuilder(
           [](const FunctionBodyBuildContext& ctx, const OpSchema& schema, FunctionProto& functionProto) {
             // LayerNormalization <axis, epsilon, stash_type> (X, Scale, B) => (Y, Mean?, InvStdDev?)
diff --git a/onnxruntime/core/optimizer/layout_transformation/layout_transformation_potentially_added_ops.h b/onnxruntime/core/optimizer/layout_transformation/layout_transformation_potentially_added_ops.h
index d3ce7bf1a01b2..81eb9f59eeada 100644
--- a/onnxruntime/core/optimizer/layout_transformation/layout_transformation_potentially_added_ops.h
+++ b/onnxruntime/core/optimizer/layout_transformation/layout_transformation_potentially_added_ops.h
@@ -26,6 +26,7 @@ inline constexpr std::array kLayoutTransformationPotentiallyAddedOps = {
     OpIdentifierWithStringViews{kOnnxDomain, "DequantizeLinear", 21},
     OpIdentifierWithStringViews{kOnnxDomain, "DequantizeLinear", 23},
     OpIdentifierWithStringViews{kOnnxDomain, "DequantizeLinear", 24},
+    OpIdentifierWithStringViews{kOnnxDomain, "DequantizeLinear", 25},
     OpIdentifierWithStringViews{kOnnxDomain, "Gather", 1},
     OpIdentifierWithStringViews{kOnnxDomain, "Gather", 11},
     OpIdentifierWithStringViews{kOnnxDomain, "Gather", 13},
@@ -37,29 +38,34 @@ inline constexpr std::array kLayoutTransformationPotentiallyAddedOps = {
     OpIdentifierWithStringViews{kOnnxDomain, "Identity", 21},
     OpIdentifierWithStringViews{kOnnxDomain, "Identity", 23},
     OpIdentifierWithStringViews{kOnnxDomain, "Identity", 24},
+    OpIdentifierWithStringViews{kOnnxDomain, "Identity", 25},
     OpIdentifierWithStringViews{kOnnxDomain, "QuantizeLinear", 10},
     OpIdentifierWithStringViews{kOnnxDomain, "QuantizeLinear", 13},
     OpIdentifierWithStringViews{kOnnxDomain, "QuantizeLinear", 19},
     OpIdentifierWithStringViews{kOnnxDomain, "QuantizeLinear", 21},
     OpIdentifierWithStringViews{kOnnxDomain, "QuantizeLinear", 23},
     OpIdentifierWithStringViews{kOnnxDomain, "QuantizeLinear", 24},
+    OpIdentifierWithStringViews{kOnnxDomain, "QuantizeLinear", 25},
     OpIdentifierWithStringViews{kOnnxDomain, "Squeeze", 1},
     OpIdentifierWithStringViews{kOnnxDomain, "Squeeze", 11},
     OpIdentifierWithStringViews{kOnnxDomain, "Squeeze", 13},
     OpIdentifierWithStringViews{kOnnxDomain, "Squeeze", 21},
     OpIdentifierWithStringViews{kOnnxDomain, "Squeeze", 23},
     OpIdentifierWithStringViews{kOnnxDomain, "Squeeze", 24},
+    OpIdentifierWithStringViews{kOnnxDomain, "Squeeze", 25},
     OpIdentifierWithStringViews{kOnnxDomain, "Transpose", 1},
     OpIdentifierWithStringViews{kOnnxDomain, "Transpose", 13},
     OpIdentifierWithStringViews{kOnnxDomain, "Transpose", 21},
     OpIdentifierWithStringViews{kOnnxDomain, "Transpose", 23},
     OpIdentifierWithStringViews{kOnnxDomain, "Transpose", 24},
+    OpIdentifierWithStringViews{kOnnxDomain, "Transpose", 25},
     OpIdentifierWithStringViews{kOnnxDomain, "Unsqueeze", 1},
     OpIdentifierWithStringViews{kOnnxDomain, "Unsqueeze", 11},
     OpIdentifierWithStringViews{kOnnxDomain, "Unsqueeze", 13},
     OpIdentifierWithStringViews{kOnnxDomain, "Unsqueeze", 21},
     OpIdentifierWithStringViews{kOnnxDomain, "Unsqueeze", 23},
     OpIdentifierWithStringViews{kOnnxDomain, "Unsqueeze", 24},
+    OpIdentifierWithStringViews{kOnnxDomain, "Unsqueeze", 25},
 
 #if !defined(DISABLE_CONTRIB_OPS)
     // kMSDomain ops
diff --git a/onnxruntime/core/optimizer/qdq_transformer/qdq_util.cc b/onnxruntime/core/optimizer/qdq_transformer/qdq_util.cc
index 5a328346b0c6d..2a07d79eca818 100644
--- a/onnxruntime/core/optimizer/qdq_transformer/qdq_util.cc
+++ b/onnxruntime/core/optimizer/qdq_transformer/qdq_util.cc
@@ -207,12 +207,12 @@ bool IsQOrDQScalePositiveConstantScalar(
 #if !defined(ORT_MINIMAL_BUILD) || defined(ORT_EXTENDED_MINIMAL_BUILD)
 
 bool MatchQNode(const Node& node) {
-  return graph_utils::IsSupportedOptypeVersionAndDomain(node, QOpName, {10, 13, 19, 21, 23, 24}) ||
+  return graph_utils::IsSupportedOptypeVersionAndDomain(node, QOpName, {10, 13, 19, 21, 23, 24, 25}) ||
          graph_utils::IsSupportedOptypeVersionAndDomain(node, QOpName, {1}, kMSDomain);
 }
 
 bool MatchDQNode(const Node& node) {
-  return graph_utils::IsSupportedOptypeVersionAndDomain(node, DQOpName, {10, 13, 19, 21, 23, 24}) ||
+  return graph_utils::IsSupportedOptypeVersionAndDomain(node, DQOpName, {10, 13, 19, 21, 23, 24, 25}) ||
          graph_utils::IsSupportedOptypeVersionAndDomain(node, DQOpName, {1}, kMSDomain);
 }
 
diff --git a/onnxruntime/core/optimizer/transpose_optimization/optimizer_api.h b/onnxruntime/core/optimizer/transpose_optimization/optimizer_api.h
index f815dadef9859..6ff4da05fbf57 100644
--- a/onnxruntime/core/optimizer/transpose_optimization/optimizer_api.h
+++ b/onnxruntime/core/optimizer/transpose_optimization/optimizer_api.h
@@ -466,7 +466,7 @@ class GraphRef {
 }  // namespace api
 
 constexpr int64_t kMinSupportedOpset = 7;
-constexpr int64_t kMaxSupportedOpset = 24;
+constexpr int64_t kMaxSupportedOpset = 25;
 
 // enum of results that a CostCheckFn can return.
 enum class CostCheckResult {
diff --git a/onnxruntime/core/providers/coreml/builders/impl/base_op_builder.h b/onnxruntime/core/providers/coreml/builders/impl/base_op_builder.h
index 06ff502ff3d00..0714ad08fb5fc 100644
--- a/onnxruntime/core/providers/coreml/builders/impl/base_op_builder.h
+++ b/onnxruntime/core/providers/coreml/builders/impl/base_op_builder.h
@@ -46,7 +46,7 @@ class BaseOpBuilder : public IOpBuilder {
                                       const logging::Logger& logger) const;
 
   virtual int GetMinSupportedOpSet(const Node& /*node*/) const { return 1; }
-  virtual int GetMaxSupportedOpSet(const Node& /*node*/) const { return 24; }
+  virtual int GetMaxSupportedOpSet(const Node& /*node*/) const { return 25; }
 
   bool HasSupportedOpSet(const Node& node, const logging::Logger& logger) const;
   bool HasSupportedInputs(const Node& node, const OpBuilderInputParams& input_params,
diff --git a/onnxruntime/core/providers/cpu/controlflow/if.cc b/onnxruntime/core/providers/cpu/controlflow/if.cc
index c0774fe5f2039..d614b4258379d 100644
--- a/onnxruntime/core/providers/cpu/controlflow/if.cc
+++ b/onnxruntime/core/providers/cpu/controlflow/if.cc
@@ -135,10 +135,19 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()),
     If);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     If,
     24,
+    24,
+    KernelDefBuilder()
+        .TypeConstraint("B", DataTypeImpl::GetTensorType<bool>())
+        .TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()),
+    If);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    If,
+    25,
     KernelDefBuilder()
         .TypeConstraint("B", DataTypeImpl::GetTensorType<bool>())
         .TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()),
diff --git a/onnxruntime/core/providers/cpu/controlflow/loop.cc b/onnxruntime/core/providers/cpu/controlflow/loop.cc
index 019338457aa2f..1ea08e40bd292 100644
--- a/onnxruntime/core/providers/cpu/controlflow/loop.cc
+++ b/onnxruntime/core/providers/cpu/controlflow/loop.cc
@@ -164,10 +164,20 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()),
     Loop);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Loop,
     24,
+    24,
+    KernelDefBuilder()
+        .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>())
+        .TypeConstraint("B", DataTypeImpl::GetTensorType<bool>())
+        .TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()),
+    Loop);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Loop,
+    25,
     KernelDefBuilder()
         .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>())
         .TypeConstraint("B", DataTypeImpl::GetTensorType<bool>())
diff --git a/onnxruntime/core/providers/cpu/controlflow/scan_9.cc b/onnxruntime/core/providers/cpu/controlflow/scan_9.cc
index 5207f2096a332..2fdd7fc564fe4 100644
--- a/onnxruntime/core/providers/cpu/controlflow/scan_9.cc
+++ b/onnxruntime/core/providers/cpu/controlflow/scan_9.cc
@@ -554,9 +554,18 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(Scan,
                                        .TypeConstraint("V", DataTypeImpl::AllTensorTypesIRv9()),
                                    Scan<9>);
 
-// Opset 24
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(Scan,
+                                   24,
+                                   24,
+                                   KernelDefBuilder()
+                                       // 'I' is in the ONNX spec but is not actually used for any inputs or outputs
+                                       // .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>())
+                                       .TypeConstraint("V", DataTypeImpl::AllTensorTypesIRv9()),
+                                   Scan<9>);
+
+// Opset 25
 ONNX_CPU_OPERATOR_KERNEL(Scan,
-                         24,
+                         25,
                          KernelDefBuilder()
                              // 'I' is in the ONNX spec but is not actually used for any inputs or outputs
                              // .TypeConstraint("I", DataTypeImpl::GetTensorType<int64_t>())
diff --git a/onnxruntime/core/providers/cpu/cpu_execution_provider.cc b/onnxruntime/core/providers/cpu/cpu_execution_provider.cc
index faadb48bb3ff0..0b54824042d76 100644
--- a/onnxruntime/core/providers/cpu/cpu_execution_provider.cc
+++ b/onnxruntime/core/providers/cpu/cpu_execution_provider.cc
@@ -1384,51 +1384,92 @@ class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain,
 // Opset 24
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, float, Attention);
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, MLFloat16, Attention);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Cast);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, ConstantOfShape);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int32_t, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint8_t, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int8_t, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint16_t, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int16_t, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Int4x2, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, UInt4x2, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Cast);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, ConstantOfShape);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int32_t, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint8_t, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int8_t, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint16_t, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int16_t, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Int4x2, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, UInt4x2, DequantizeLinear);
 #if !defined(DISABLE_FLOAT8_TYPES)
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FN, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FNUZ, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2, DequantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2FNUZ, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FN, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FNUZ, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2, DequantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2FNUZ, DequantizeLinear);
 #endif
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint8_t, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int8_t, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint16_t, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int16_t, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Int4x2, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, UInt4x2, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint8_t, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int8_t, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint16_t, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int16_t, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Int4x2, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, UInt4x2, QuantizeLinear);
 #if !defined(DISABLE_FLOAT8_TYPES)
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FN, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FNUZ, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2, QuantizeLinear);
-class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2FNUZ, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FN, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FNUZ, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2, QuantizeLinear);
+class ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2FNUZ, QuantizeLinear);
 #endif
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Flatten);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Identity);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Pad);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, If);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Loop);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Reshape);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Shape);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Squeeze);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Transpose);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Unsqueeze);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Scan);
-class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Size);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Flatten);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Identity);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Pad);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, If);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Loop);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Reshape);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Shape);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Squeeze);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Transpose);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Unsqueeze);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Scan);
+class ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Size);
 class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, SplitToSequence);
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, float, TopK);
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, double, TopK);
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int64_t, TopK);
 class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int32_t, TopK);
 
+// Opset 25
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Cast);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, ConstantOfShape);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int32_t, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint8_t, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int8_t, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint16_t, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int16_t, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Int4x2, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, UInt4x2, DequantizeLinear);
+#if !defined(DISABLE_FLOAT8_TYPES)
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FNUZ, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2, DequantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2FNUZ, DequantizeLinear);
+#endif
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint8_t, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int8_t, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint16_t, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int16_t, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Int4x2, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, UInt4x2, QuantizeLinear);
+#if !defined(DISABLE_FLOAT8_TYPES)
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FN, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FNUZ, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2, QuantizeLinear);
+class ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2FNUZ, QuantizeLinear);
+#endif
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Flatten);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Identity);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Pad);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, If);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Loop);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Reshape);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Shape);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Squeeze);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Transpose);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Unsqueeze);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Scan);
+class ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Size);
+
 // !!PLEASE READ BELOW!! Following that, add new entries above this comment
 
 /*  *** IMPORTANT! ***
@@ -3433,71 +3474,128 @@ Status RegisterOnnxOperatorKernels(KernelRegistry& kernel_registry) {
       // opset 24
       BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, float, Attention)>,
       BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, MLFloat16, Attention)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Cast)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, ConstantOfShape)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint8_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Cast)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, ConstantOfShape)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint8_t,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int8_t,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint16_t,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int16_t,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int32_t,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Int4x2,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, UInt4x2,
+                                                                            DequantizeLinear)>,
+#if !defined(DISABLE_FLOAT8_TYPES)
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FN,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FNUZ,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2,
+                                                                            DequantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2FNUZ,
+                                                                            DequantizeLinear)>,
+#endif
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint8_t,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int8_t,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, uint16_t,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, int16_t,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Int4x2,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, UInt4x2,
+                                                                            QuantizeLinear)>,
+#if !defined(DISABLE_FLOAT8_TYPES)
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FN,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E4M3FNUZ,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2,
+                                                                            QuantizeLinear)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Float8E5M2FNUZ,
+                                                                            QuantizeLinear)>,
+#endif
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Flatten)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Identity)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, If)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Loop)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Pad)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Reshape)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Scan)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Shape)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Size)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Squeeze)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Transpose)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_VERSIONED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, 24, Unsqueeze)>,
+
+      // opset 25
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Cast)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, ConstantOfShape)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint8_t,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int8_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int8_t,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint16_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint16_t,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int16_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int16_t,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int32_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int32_t,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Int4x2,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Int4x2,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, UInt4x2,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, UInt4x2,
                                                                   DequantizeLinear)>,
 #if !defined(DISABLE_FLOAT8_TYPES)
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FN,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FN,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FNUZ,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FNUZ,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2,
                                                                   DequantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2FNUZ,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2FNUZ,
                                                                   DequantizeLinear)>,
 #endif
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint8_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint8_t,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int8_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int8_t,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, uint16_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, uint16_t,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int16_t,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, int16_t,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Int4x2,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Int4x2,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, UInt4x2,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, UInt4x2,
                                                                   QuantizeLinear)>,
 #if !defined(DISABLE_FLOAT8_TYPES)
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FN,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FN,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E4M3FNUZ,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E4M3FNUZ,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2,
                                                                   QuantizeLinear)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Float8E5M2FNUZ,
+      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Float8E5M2FNUZ,
                                                                   QuantizeLinear)>,
 #endif
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Flatten)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Identity)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, If)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Loop)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Pad)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Reshape)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Scan)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Shape)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Size)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Squeeze)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Transpose)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, Unsqueeze)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, SplitToSequence)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, float, TopK)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, double, TopK)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int64_t, TopK)>,
-      BuildKernelCreateInfo<ONNX_OPERATOR_TYPED_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 24, int32_t, TopK)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Flatten)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Identity)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, If)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Loop)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Pad)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Reshape)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Scan)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Shape)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Size)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Squeeze)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Transpose)>,
+      BuildKernelCreateInfo<ONNX_OPERATOR_KERNEL_CLASS_NAME(kCpuExecutionProvider, kOnnxDomain, 25, Unsqueeze)>,
   };
   for (auto& function_table_entry : function_table) {
     KernelCreateInfo info = function_table_entry();
diff --git a/onnxruntime/core/providers/cpu/generator/constant_of_shape.cc b/onnxruntime/core/providers/cpu/generator/constant_of_shape.cc
index c2a4bcef6aa83..b5a1f91e0f570 100644
--- a/onnxruntime/core/providers/cpu/generator/constant_of_shape.cc
+++ b/onnxruntime/core/providers/cpu/generator/constant_of_shape.cc
@@ -27,6 +27,10 @@ ORT_SPECIFY_OP_KERNEL_ARG_DEFAULT_TYPE_LIST(
     kCpuExecutionProvider, kOnnxDomain, ConstantOfShape, 24, Output, 0,
     ConstantOfShapeDefaultOutputTypesOpset23);
 
+ORT_SPECIFY_OP_KERNEL_ARG_DEFAULT_TYPE_LIST(
+    kCpuExecutionProvider, kOnnxDomain, ConstantOfShape, 25, Output, 0,
+    ConstantOfShapeDefaultOutputTypesOpset23);
+
 // pytorch converter uses ConstantOfShape with int64 to create Pad input
 // https://github.com/pytorch/pytorch/blob/044b519a80459f6787f6723c1c091a18b153d184/torch/onnx/symbolic_opset11.py#L449
 ORT_SPECIFY_OP_KERNEL_ARG_REQUIRED_TYPES_ALL_OPSETS(
@@ -58,6 +62,11 @@ using EnabledOutputTypesOpset23 =
 using EnabledOutputTypesOpset24 =
     ORT_OP_KERNEL_ARG_ENABLED_TYPE_LIST(
         kCpuExecutionProvider, kOnnxDomain, ConstantOfShape, 24, Output, 0);
+
+using EnabledOutputTypesOpset25 =
+    ORT_OP_KERNEL_ARG_ENABLED_TYPE_LIST(
+        kCpuExecutionProvider, kOnnxDomain, ConstantOfShape, 25, Output, 0);
+
 class ConstantOfShape final : public ConstantOfShapeBase<EnabledOutputTypes>, public OpKernel {
  public:
   explicit ConstantOfShape(const OpKernelInfo& info) : ConstantOfShapeBase(info), OpKernel(info) {}
@@ -142,12 +151,22 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
                         BuildKernelDefConstraintsFromTypeList<EnabledOutputTypesOpset23>()),
     ConstantOfShape);
 
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     ConstantOfShape,
     24,
+    24,
     KernelDefBuilder()
         .TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>())
         .TypeConstraint("T2",
                         BuildKernelDefConstraintsFromTypeList<EnabledOutputTypesOpset24>()),
     ConstantOfShape);
+
+ONNX_CPU_OPERATOR_KERNEL(
+    ConstantOfShape,
+    25,
+    KernelDefBuilder()
+        .TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>())
+        .TypeConstraint("T2",
+                        BuildKernelDefConstraintsFromTypeList<EnabledOutputTypesOpset25>()),
+    ConstantOfShape);
 }  // namespace onnxruntime
diff --git a/onnxruntime/core/providers/cpu/nn/flatten.cc b/onnxruntime/core/providers/cpu/nn/flatten.cc
index 1544052b64df2..790d44e8f89df 100644
--- a/onnxruntime/core/providers/cpu/nn/flatten.cc
+++ b/onnxruntime/core/providers/cpu/nn/flatten.cc
@@ -63,10 +63,19 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .TypeConstraint("T", DataTypeImpl::AllTensorTypes()),
     Flatten);
 
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
+    Flatten,
+    24,
+    24,
+    KernelDefBuilder()
+        .Alias(0, 0)
+        .TypeConstraint("T", DataTypeImpl::AllTensorTypes()),
+    Flatten);
+
 // Opset 24
 ONNX_CPU_OPERATOR_KERNEL(
     Flatten,
-    24,
+    25,
     KernelDefBuilder()
         .Alias(0, 0)
         .TypeConstraint("T", DataTypeImpl::AllTensorTypes()),
diff --git a/onnxruntime/core/providers/cpu/quantization/quantize_linear.cc b/onnxruntime/core/providers/cpu/quantization/quantize_linear.cc
index 57145ecbda3c5..0f93dd4f476ba 100644
--- a/onnxruntime/core/providers/cpu/quantization/quantize_linear.cc
+++ b/onnxruntime/core/providers/cpu/quantization/quantize_linear.cc
@@ -121,7 +121,7 @@ static void PrepareForQDQ(const TensorShape& input_shape,
 #define REGISTER_DEQUANTIZELINEAR(T)                                         \
   ONNX_CPU_OPERATOR_TYPED_KERNEL(                                            \
       DequantizeLinear,                                                      \
-      24,                                                                    \
+      25,                                                                    \
       T,                                                                     \
       KernelDefBuilder()                                                     \
           .TypeConstraint("T1", DataTypeImpl::GetTensorType<T>())            \
@@ -160,7 +160,7 @@ static void PrepareForQDQ(const TensorShape& input_shape,
           .TypeConstraint("T", DataTypeImpl::GetTensorType<T>()), \
       DequantizeLinear<T>);
 
-// Opset24
+// Opset25
 REGISTER_DEQUANTIZELINEAR(int8_t)
 REGISTER_DEQUANTIZELINEAR(uint8_t)
 REGISTER_DEQUANTIZELINEAR(int16_t)
@@ -175,6 +175,21 @@ REGISTER_DEQUANTIZELINEAR(Float8E5M2)
 REGISTER_DEQUANTIZELINEAR(Float8E5M2FNUZ)
 #endif
 
+// opset24
+REGISTER_DEQUANTIZELINEAR_VERSIONED(int8_t, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(uint8_t, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(int16_t, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(uint16_t, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(int32_t, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(Int4x2, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(UInt4x2, 24, 24)
+#if !defined(DISABLE_FLOAT8_TYPES)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(Float8E4M3FN, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(Float8E4M3FNUZ, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(Float8E5M2, 24, 24)
+REGISTER_DEQUANTIZELINEAR_VERSIONED(Float8E5M2FNUZ, 24, 24)
+#endif
+
 // Opset 23 added support for float4e2m1.
 // TODO: Add support for float4e2m1.
 REGISTER_DEQUANTIZELINEAR_VERSIONED(int8_t, 23, 23)
@@ -591,7 +606,7 @@ Status DequantizeLinear<T>::Compute(OpKernelContext* ctx) const {
 #define REGISTER_QUANTIZELINEAR(T)                                          \
   ONNX_CPU_OPERATOR_TYPED_KERNEL(                                           \
       QuantizeLinear,                                                       \
-      24,                                                                   \
+      25,                                                                   \
       T,                                                                    \
       KernelDefBuilder()                                                    \
           .TypeConstraint("T1", {DataTypeImpl::GetTensorType<float>(),      \
@@ -632,7 +647,7 @@ Status DequantizeLinear<T>::Compute(OpKernelContext* ctx) const {
           .TypeConstraint("T2", DataTypeImpl::GetTensorType<T>()),    \
       QuantizeLinear<T>);
 
-// Opset 24
+// Opset 25
 REGISTER_QUANTIZELINEAR(int8_t)
 REGISTER_QUANTIZELINEAR(uint8_t)
 REGISTER_QUANTIZELINEAR(int16_t)
@@ -646,6 +661,20 @@ REGISTER_QUANTIZELINEAR(Float8E5M2)
 REGISTER_QUANTIZELINEAR(Float8E5M2FNUZ)
 #endif
 
+// Opset 24
+REGISTER_QUANTIZELINEAR_VERSIONED(int8_t, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(uint8_t, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(int16_t, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(uint16_t, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(Int4x2, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(UInt4x2, 24, 24)
+#if !defined(DISABLE_FLOAT8_TYPES)
+REGISTER_QUANTIZELINEAR_VERSIONED(Float8E4M3FN, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(Float8E4M3FNUZ, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(Float8E5M2, 24, 24)
+REGISTER_QUANTIZELINEAR_VERSIONED(Float8E5M2FNUZ, 24, 24)
+#endif
+
 // Opset 23 added support for float4e2m1.
 REGISTER_QUANTIZELINEAR_VERSIONED(int8_t, 23, 23)
 REGISTER_QUANTIZELINEAR_VERSIONED(uint8_t, 23, 23)
diff --git a/onnxruntime/core/providers/cpu/tensor/cast_op.cc b/onnxruntime/core/providers/cpu/tensor/cast_op.cc
index 95422e0769641..767137a185cc2 100644
--- a/onnxruntime/core/providers/cpu/tensor/cast_op.cc
+++ b/onnxruntime/core/providers/cpu/tensor/cast_op.cc
@@ -731,9 +731,19 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .MayInplace(0, 0),  // allocation planner will check input and output sizes match before inplacing
     Cast);
 
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Cast,
     24,
+    24,
+    KernelDefBuilder()
+        .TypeConstraint("T1", BuildKernelDefConstraintsFromTypeList<EnabledSrcTypes>())
+        .TypeConstraint("T2", BuildKernelDefConstraintsFromTypeList<EnabledDstTypes>())
+        .MayInplace(0, 0),  // allocation planner will check input and output sizes match before inplacing
+    Cast);
+
+ONNX_CPU_OPERATOR_KERNEL(
+    Cast,
+    25,
     KernelDefBuilder()
         .TypeConstraint("T1", BuildKernelDefConstraintsFromTypeList<EnabledSrcTypes>())
         .TypeConstraint("T2", BuildKernelDefConstraintsFromTypeList<EnabledDstTypes>())
diff --git a/onnxruntime/core/providers/cpu/tensor/identity_op.cc b/onnxruntime/core/providers/cpu/tensor/identity_op.cc
index aff3947951f0c..a25321a63a273 100644
--- a/onnxruntime/core/providers/cpu/tensor/identity_op.cc
+++ b/onnxruntime/core/providers/cpu/tensor/identity_op.cc
@@ -74,10 +74,17 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     KernelDefBuilder().TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()).Alias(0, 0),
     IdentityOp<false>);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Identity,
     24,
+    24,
+    KernelDefBuilder().TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()).Alias(0, 0),
+    IdentityOp<false>);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Identity,
+    25,
     KernelDefBuilder().TypeConstraint("V", DataTypeImpl::AllTensorAndSequenceTensorAndOptionalTypesIRv9()).Alias(0, 0),
     IdentityOp<false>);
 
diff --git a/onnxruntime/core/providers/cpu/tensor/pad.cc b/onnxruntime/core/providers/cpu/tensor/pad.cc
index ab261bbb8cdb5..842518ab15627 100644
--- a/onnxruntime/core/providers/cpu/tensor/pad.cc
+++ b/onnxruntime/core/providers/cpu/tensor/pad.cc
@@ -134,6 +134,18 @@ ORT_SPECIFY_OP_KERNEL_ARG_DEFAULT_TYPES(
     uint8_t,
     bool);
 
+ORT_SPECIFY_OP_KERNEL_ARG_DEFAULT_TYPES(
+    kCpuExecutionProvider, kOnnxDomain, Pad, 25, Input, 0,
+    float,
+    double,
+    int32_t,
+    int64_t,
+    uint32_t,
+    uint64_t,
+    int8_t,
+    uint8_t,
+    bool);
+
 ORT_SPECIFY_OP_KERNEL_ARG_REQUIRED_TYPES(
     kCpuExecutionProvider, kOnnxDomain, Pad, 11, Input, 0, int32_t, int64_t);
 ORT_SPECIFY_OP_KERNEL_ARG_REQUIRED_TYPES(
@@ -148,6 +160,8 @@ ORT_SPECIFY_OP_KERNEL_ARG_REQUIRED_TYPES(
     kCpuExecutionProvider, kOnnxDomain, Pad, 23, Input, 0, int32_t, int64_t);
 ORT_SPECIFY_OP_KERNEL_ARG_REQUIRED_TYPES(
     kCpuExecutionProvider, kOnnxDomain, Pad, 24, Input, 0, int32_t, int64_t);
+ORT_SPECIFY_OP_KERNEL_ARG_REQUIRED_TYPES(
+    kCpuExecutionProvider, kOnnxDomain, Pad, 25, Input, 0, int32_t, int64_t);
 
 }  // namespace op_kernel_type_control
 
@@ -169,6 +183,9 @@ using EnabledPad23Types = ORT_OP_KERNEL_ARG_ENABLED_TYPE_LIST(
 using EnabledPad24Types = ORT_OP_KERNEL_ARG_ENABLED_TYPE_LIST(
     kCpuExecutionProvider, kOnnxDomain, Pad, 24, Input, 0);
 
+using EnabledPad25Types = ORT_OP_KERNEL_ARG_ENABLED_TYPE_LIST(
+    kCpuExecutionProvider, kOnnxDomain, Pad, 25, Input, 0);
+
 using AllEnabledPadTypes =
     utils::TypeSetUnion<
         EnabledPad2Types,
@@ -240,15 +257,24 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
             BuildKernelDefConstraintsFromTypeList<EnabledPad23Types>()),
     Pad);
 
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Pad,
-    24,
+    24, 24,
     KernelDefBuilder()
         .TypeConstraint(
             "T",
             BuildKernelDefConstraintsFromTypeList<EnabledPad24Types>()),
     Pad);
 
+ONNX_CPU_OPERATOR_KERNEL(
+    Pad,
+    25,
+    KernelDefBuilder()
+        .TypeConstraint(
+            "T",
+            BuildKernelDefConstraintsFromTypeList<EnabledPad25Types>()),
+    Pad);
+
 using PadsVector = PadBase::PadsVector;
 
 Status PadBase::HandleDimValueZero(const Mode& mode, const TensorShape& input_shape, const TensorShape& output_shape) {
diff --git a/onnxruntime/core/providers/cpu/tensor/reshape.cc b/onnxruntime/core/providers/cpu/tensor/reshape.cc
index 1c6815fa1a8f9..333b82494178f 100644
--- a/onnxruntime/core/providers/cpu/tensor/reshape.cc
+++ b/onnxruntime/core/providers/cpu/tensor/reshape.cc
@@ -75,10 +75,20 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .TypeConstraint("shape", DataTypeImpl::GetTensorType<int64_t>()),
     Reshape);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Reshape,
     24,
+    24,
+    KernelDefBuilder()
+        .Alias(0, 0)
+        .TypeConstraint("T", DataTypeImpl::AllTensorTypesIRv9())
+        .TypeConstraint("shape", DataTypeImpl::GetTensorType<int64_t>()),
+    Reshape);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Reshape,
+    25,
     KernelDefBuilder()
         .Alias(0, 0)
         .TypeConstraint("T", DataTypeImpl::AllTensorTypesIRv9())
diff --git a/onnxruntime/core/providers/cpu/tensor/shape_op.cc b/onnxruntime/core/providers/cpu/tensor/shape_op.cc
index 74ba61cc9aad8..f3f0b389b4732 100644
--- a/onnxruntime/core/providers/cpu/tensor/shape_op.cc
+++ b/onnxruntime/core/providers/cpu/tensor/shape_op.cc
@@ -48,10 +48,17 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     KernelDefBuilder().TypeConstraint("T", DataTypeImpl::AllTensorTypesIRv9()).TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>()),
     Shape);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Shape,
     24,
+    24,
+    KernelDefBuilder().TypeConstraint("T", DataTypeImpl::AllTensorTypesIRv9()).TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>()),
+    Shape);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Shape,
+    25,
     KernelDefBuilder().TypeConstraint("T", DataTypeImpl::AllTensorTypesIRv9()).TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>()),
     Shape);
 
diff --git a/onnxruntime/core/providers/cpu/tensor/size.cc b/onnxruntime/core/providers/cpu/tensor/size.cc
index 7dbc401207fb5..4e9a51a525252 100644
--- a/onnxruntime/core/providers/cpu/tensor/size.cc
+++ b/onnxruntime/core/providers/cpu/tensor/size.cc
@@ -127,10 +127,30 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>()),
     Size);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Size,
     24,
+    24,
+    KernelDefBuilder().TypeConstraint("T",
+                                      std::vector<MLDataType>({DataTypeImpl::GetTensorType<float>(),
+                                                               DataTypeImpl::GetTensorType<double>(),
+                                                               DataTypeImpl::GetTensorType<int8_t>(),
+                                                               DataTypeImpl::GetTensorType<int16_t>(),
+                                                               DataTypeImpl::GetTensorType<int32_t>(),
+                                                               DataTypeImpl::GetTensorType<int64_t>(),
+                                                               DataTypeImpl::GetTensorType<uint8_t>(),
+                                                               DataTypeImpl::GetTensorType<uint16_t>(),
+                                                               DataTypeImpl::GetTensorType<uint32_t>(),
+                                                               DataTypeImpl::GetTensorType<uint64_t>(),
+                                                               DataTypeImpl::GetTensorType<std::string>(),
+                                                               DataTypeImpl::GetTensorType<bool>()}))
+        .TypeConstraint("T1", DataTypeImpl::GetTensorType<int64_t>()),
+    Size);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Size,
+    25,
     KernelDefBuilder().TypeConstraint("T",
                                       std::vector<MLDataType>({DataTypeImpl::GetTensorType<float>(),
                                                                DataTypeImpl::GetTensorType<double>(),
diff --git a/onnxruntime/core/providers/cpu/tensor/squeeze.cc b/onnxruntime/core/providers/cpu/tensor/squeeze.cc
index 3824b8a7c3cfa..ddb0c9cb32388 100644
--- a/onnxruntime/core/providers/cpu/tensor/squeeze.cc
+++ b/onnxruntime/core/providers/cpu/tensor/squeeze.cc
@@ -56,10 +56,19 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .Alias(0, 0),
     Squeeze);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Squeeze,
     24,
+    24,
+    KernelDefBuilder()
+        .TypeConstraint("T", DataTypeImpl::AllTensorTypes())
+        .Alias(0, 0),
+    Squeeze);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Squeeze,
+    25,
     KernelDefBuilder()
         .TypeConstraint("T", DataTypeImpl::AllTensorTypes())
         .Alias(0, 0),
diff --git a/onnxruntime/core/providers/cpu/tensor/transpose.cc b/onnxruntime/core/providers/cpu/tensor/transpose.cc
index f3d91b244481b..1f29ccbd4d8f8 100644
--- a/onnxruntime/core/providers/cpu/tensor/transpose.cc
+++ b/onnxruntime/core/providers/cpu/tensor/transpose.cc
@@ -485,10 +485,17 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     KernelDefBuilder().TypeConstraint("T", BuildKernelDefConstraintsFromTypeList<EnabledDataTypesOpset21>()),
     Transpose);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Transpose,
     24,
+    24,
+    KernelDefBuilder().TypeConstraint("T", BuildKernelDefConstraintsFromTypeList<EnabledDataTypesOpset21>()),
+    Transpose);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Transpose,
+    25,
     KernelDefBuilder().TypeConstraint("T", BuildKernelDefConstraintsFromTypeList<EnabledDataTypesOpset21>()),
     Transpose);
 
diff --git a/onnxruntime/core/providers/cpu/tensor/unsqueeze.cc b/onnxruntime/core/providers/cpu/tensor/unsqueeze.cc
index bf3cff09a140f..1b6ee02061d34 100644
--- a/onnxruntime/core/providers/cpu/tensor/unsqueeze.cc
+++ b/onnxruntime/core/providers/cpu/tensor/unsqueeze.cc
@@ -59,10 +59,19 @@ ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
         .TypeConstraint("T", DataTypeImpl::AllTensorTypes()),
     Unsqueeze);
 
-// Opset 24
-ONNX_CPU_OPERATOR_KERNEL(
+ONNX_CPU_OPERATOR_VERSIONED_KERNEL(
     Unsqueeze,
     24,
+    24,
+    KernelDefBuilder()
+        .Alias(0, 0)
+        .TypeConstraint("T", DataTypeImpl::AllTensorTypes()),
+    Unsqueeze);
+
+// Opset 25
+ONNX_CPU_OPERATOR_KERNEL(
+    Unsqueeze,
+    25,
     KernelDefBuilder()
         .Alias(0, 0)
         .TypeConstraint("T", DataTypeImpl::AllTensorTypes()),
diff --git a/onnxruntime/core/providers/nnapi/nnapi_builtin/builders/impl/base_op_builder.h b/onnxruntime/core/providers/nnapi/nnapi_builtin/builders/impl/base_op_builder.h
index fafeba7bb49fa..ca6ffb388cdc6 100644
--- a/onnxruntime/core/providers/nnapi/nnapi_builtin/builders/impl/base_op_builder.h
+++ b/onnxruntime/core/providers/nnapi/nnapi_builtin/builders/impl/base_op_builder.h
@@ -72,7 +72,7 @@ class BaseOpBuilder : public IOpBuilder {
                                             const OpSupportCheckParams& params) const;
 
   virtual int GetMinSupportedOpSet(const NodeUnit& /* node_unit */) const { return 1; }
-  virtual int GetMaxSupportedOpSet(const NodeUnit& /* node_unit */) const { return 24; }
+  virtual int GetMaxSupportedOpSet(const NodeUnit& /* node_unit */) const { return 25; }
 
   // Check if this node_unit's type is supported
   // SingleNode type NodeUnit is supported
diff --git a/onnxruntime/core/providers/vsinpu/builders/impl/base_op_builder.h b/onnxruntime/core/providers/vsinpu/builders/impl/base_op_builder.h
index 56fc43ad4384d..719a806376222 100644
--- a/onnxruntime/core/providers/vsinpu/builders/impl/base_op_builder.h
+++ b/onnxruntime/core/providers/vsinpu/builders/impl/base_op_builder.h
@@ -49,7 +49,7 @@ class BaseOpBuilder : public IOpBuilder {
   virtual bool IsQuantizedOp(const NodeUnit& /* node_unit */) const { return false; }
 
   virtual int GetMinSupportedOpSet(const NodeUnit& /* node_unit */) const { return 1; }
-  virtual int GetMaxSupportedOpSet(const NodeUnit& /* node_unit */) const { return 24; }
+  virtual int GetMaxSupportedOpSet(const NodeUnit& /* node_unit */) const { return 25; }
 
   virtual bool HasSupportedInputOutputsImpl(
       const InitializedTensorSet& initializers, const NodeUnit& node_unit) const;
diff --git a/onnxruntime/core/providers/webnn/builders/impl/base_op_builder.h b/onnxruntime/core/providers/webnn/builders/impl/base_op_builder.h
index d45cd93e9982d..a765cd9cbca85 100644
--- a/onnxruntime/core/providers/webnn/builders/impl/base_op_builder.h
+++ b/onnxruntime/core/providers/webnn/builders/impl/base_op_builder.h
@@ -52,7 +52,7 @@ class BaseOpBuilder : public IOpBuilder {
   // We still set the minimal supported opset to 1 as we couldn't
   // get the model opset version at this stage.
   virtual int GetMinSupportedOpSet(const Node& /* node */) const { return 1; }
-  virtual int GetMaxSupportedOpSet(const Node& /* node */) const { return 24; }
+  virtual int GetMaxSupportedOpSet(const Node& /* node */) const { return 25; }
 
  private:
   bool HasSupportedOpSet(const Node& node, const logging::Logger& logger) const;
diff --git a/onnxruntime/test/python/quantization/test_quant_util.py b/onnxruntime/test/python/quantization/test_quant_util.py
index 519e6de078335..468f97c980ad8 100644
--- a/onnxruntime/test/python/quantization/test_quant_util.py
+++ b/onnxruntime/test/python/quantization/test_quant_util.py
@@ -128,7 +128,8 @@ def test_pack_bytes_to_4bit(self):
                 src_int = src_float.astype(numpy.int8 if signed else numpy.uint8)
 
                 actual_packed_vals = bytes(pack_bytes_to_4bit(src_int.tobytes()))
-                expected_packed_vals = onnx.helper.pack_float32_to_4bit(src_float, signed).tobytes()
+                src_4bit = src_float.astype(int4 if signed else uint4)
+                expected_packed_vals = bytes(pack_bytes_to_4bit(src_4bit.tobytes()))
                 self.assertEqual(actual_packed_vals, expected_packed_vals)
 
     def test_quantize_data_4bit(self):
diff --git a/onnxruntime/test/python/requirements.txt b/onnxruntime/test/python/requirements.txt
index 86645f42e3625..e7c8e348e3b05 100644
--- a/onnxruntime/test/python/requirements.txt
+++ b/onnxruntime/test/python/requirements.txt
@@ -1,3 +1,3 @@
-onnx==1.18.0
+onnx==1.20.0rc1
 pytest
 onnx-ir
diff --git a/tools/ci_build/github/linux/docker/inference/aarch64/python/cpu/scripts/requirements.txt b/tools/ci_build/github/linux/docker/inference/aarch64/python/cpu/scripts/requirements.txt
index ea5c38a410948..dfad09862cfe9 100644
--- a/tools/ci_build/github/linux/docker/inference/aarch64/python/cpu/scripts/requirements.txt
+++ b/tools/ci_build/github/linux/docker/inference/aarch64/python/cpu/scripts/requirements.txt
@@ -7,4 +7,4 @@ wheel
 protobuf==4.25.8
 sympy==1.14
 flatbuffers
-onnx==1.19.1; python_version < "3.14"
+onnx==1.20.0rc1; python_version < "3.14"
diff --git a/tools/ci_build/github/linux/docker/scripts/lort/requirements.txt b/tools/ci_build/github/linux/docker/scripts/lort/requirements.txt
index aa8c3556fe9e7..cf2bdefb33f87 100644
--- a/tools/ci_build/github/linux/docker/scripts/lort/requirements.txt
+++ b/tools/ci_build/github/linux/docker/scripts/lort/requirements.txt
@@ -3,7 +3,7 @@ beartype==0.15.0
 flatbuffers
 cerberus
 h5py
-onnx==1.19.1; python_version < "3.14"
+onnx==1.20.0rc1; python_version < "3.14"
 # Python dependencies required for pytorch development
 astunparse
 expecttest!=0.2.0
diff --git a/tools/ci_build/github/linux/docker/scripts/manylinux/requirements.txt b/tools/ci_build/github/linux/docker/scripts/manylinux/requirements.txt
index 8dc7b5d6c9f2c..f6eb3a1e31551 100644
--- a/tools/ci_build/github/linux/docker/scripts/manylinux/requirements.txt
+++ b/tools/ci_build/github/linux/docker/scripts/manylinux/requirements.txt
@@ -11,4 +11,4 @@ flatbuffers
 neural-compressor>=2.2.1
 triton==3.2.0; python_version < "3.14"
 triton==3.5.0; python_version >= "3.14"
-onnx==1.19.1; python_version < "3.14"
+onnx==1.20.0rc1; python_version < "3.14"
diff --git a/tools/ci_build/github/linux/docker/scripts/requirements.txt b/tools/ci_build/github/linux/docker/scripts/requirements.txt
index 289e69a5554e0..e2233c9a098a2 100644
--- a/tools/ci_build/github/linux/docker/scripts/requirements.txt
+++ b/tools/ci_build/github/linux/docker/scripts/requirements.txt
@@ -13,4 +13,4 @@ protobuf==6.33.0; python_version >= "3.14"
 packaging
 onnxscript==0.5.3; python_version < "3.14"
 onnx-ir==0.1.10; python_version < "3.14"
-onnx==1.19.1; python_version < "3.14"
+onnx==1.20.0rc1; python_version < "3.14"
diff --git a/tools/ci_build/github/linux/python/requirements.txt b/tools/ci_build/github/linux/python/requirements.txt
index 15b2b41f0a02e..a2effa847a3c4 100644
--- a/tools/ci_build/github/linux/python/requirements.txt
+++ b/tools/ci_build/github/linux/python/requirements.txt
@@ -13,4 +13,4 @@ onnxscript==0.5.3; python_version < "3.14"
 onnx-ir==0.1.10; python_version < "3.14"
 jinja2
 markupsafe
-onnx==1.19.1; python_version < "3.14"
+onnx==1.20.0rc1; python_version < "3.14"
diff --git a/tools/ci_build/github/windows/python/requirements.txt b/tools/ci_build/github/windows/python/requirements.txt
index 0eb18f5995a8a..1c77dabb04cad 100644
--- a/tools/ci_build/github/windows/python/requirements.txt
+++ b/tools/ci_build/github/windows/python/requirements.txt
@@ -16,4 +16,4 @@ markupsafe
 semver
 packaging
 coloredlogs
-onnx==1.19.1; python_version < "3.14"
+onnx==1.20.0rc1; python_version < "3.14"