mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-14 20:48:00 +00:00
[ORT 1.18.2] Cherry Pick Pad Optimizations + Update DML to 1.15.1 (#21670)
### Description This change cherry-picks 2 Pad fusion optimization: https://github.com/microsoft/onnxruntime/pull/21640 and https://github.com/microsoft/onnxruntime/pull/21556. It also has to cherry-pick 2 extra changes to unblock pipeline and dependency failure: https://github.com/microsoft/onnxruntime/pull/21300 and https://github.com/microsoft/onnxruntime/pull/21662 (didn't include test which are part of 1.18.1 payload). Also uploaded new version of [onnxruntime_build_dependencies:10.177](https://dev.azure.com/onnxruntime/onnxruntime/_artifacts/feed/onnxruntime/UPack/onnxruntime_build_dependencies/overview/1.0.177) and updated the same in `download-deps.yml`. Additionally it also updates DML binary to 1.15.1. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> --------- Co-authored-by: Changming Sun <chasun@microsoft.com> Co-authored-by: Tianlei Wu <tlwu@microsoft.com>
This commit is contained in:
Sumit Agarwal
GitHub
parent
387127404e
commit
f4f49535a4
36 changed files with 170 additions and 82 deletions
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@ -1,6 +1,6 @@
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<?xml version="1.0" encoding="utf-8"?>
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<packages>
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<package id="python" version="3.9.7" targetFramework="native" />
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<package id="Microsoft.AI.DirectML" version="1.14.1" targetFramework="native" />
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<package id="Microsoft.AI.DirectML" version="1.15.1" targetFramework="native" />
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<package id="Microsoft.Windows.CppWinRT" version="2.0.201201.7" targetFramework="native" />
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</packages>
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@ -1,6 +1,6 @@
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<?xml version="1.0" encoding="utf-8"?>
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<packages>
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<package id="pythonx86" version="3.9.7" targetFramework="native" />
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<package id="Microsoft.AI.DirectML" version="1.14.1" targetFramework="native" />
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<package id="Microsoft.AI.DirectML" version="1.15.1" targetFramework="native" />
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<package id="Microsoft.Windows.CppWinRT" version="2.0.201201.7" targetFramework="native" />
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</packages>
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@ -1 +1 @@
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1.18.1
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1.18.2
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@ -36,7 +36,7 @@
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"component": {
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"type": "git",
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"git": {
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"commitHash": "4a2c63365eff8823a5221db86ef490e828306f9d",
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"commitHash": "f46495ea96f68fc3f6c394f099b2992743f6ff7f",
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"repositoryUrl": "https://github.com/abseil/abseil-cpp.git"
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},
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"comments": "abseil_cpp"
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@ -652,6 +652,12 @@ else()
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check_cxx_compiler_flag(-Wunused-variable HAS_UNUSED_VARIABLE)
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check_cxx_compiler_flag(-Wuseless-cast HAS_USELESS_CAST)
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check_cxx_compiler_flag(-Wstringop-overflow HAS_STRINGOP_OVERFLOW)
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if(onnxruntime_ENABLE_TRAINING_APIS)
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check_cxx_compiler_flag(-Wdangling-reference HAS_DANGLING_REFERENCE)
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if(HAS_DANGLING_REFERENCE)
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list(APPEND ORT_WARNING_FLAGS -Wno-dangling-reference)
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endif()
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endif()
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check_function_exists(reallocarray HAS_REALLOCARRAY)
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if (NOT APPLE AND NOT CMAKE_SYSTEM_NAME STREQUAL "Emscripten" AND onnxruntime_target_platform STREQUAL "aarch64")
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check_cxx_compiler_flag(-march=armv8.2-a+bf16 HAS_ARM64_BFLOAT16)
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@ -819,8 +825,8 @@ if (onnxruntime_USE_QNN)
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file(GLOB QNN_LIB_FILES LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/libQnn*.so" "${onnxruntime_QNN_HOME}/lib/${QNN_ARCH_ABI}/Qnn*.dll")
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if (${QNN_ARCH_ABI} STREQUAL "aarch64-windows-msvc" OR ${QNN_ARCH_ABI} STREQUAL "arm64x-windows-msvc")
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file(GLOB EXTRA_HTP_LIB LIST_DIRECTORIES false "${onnxruntime_QNN_HOME}/lib/hexagon-v68/unsigned/libQnnHtpV68Skel.so"
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"${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so"
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"${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libqnnhtpv73.cat")
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"${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libQnnHtpV73Skel.so"
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"${onnxruntime_QNN_HOME}/lib/hexagon-v73/unsigned/libqnnhtpv73.cat")
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list(APPEND QNN_LIB_FILES ${EXTRA_HTP_LIB})
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endif()
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message(STATUS "QNN lib files: " ${QNN_LIB_FILES})
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@ -1031,6 +1037,9 @@ function(onnxruntime_set_compile_flags target_name)
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foreach(FLAG ${ORT_WARNING_FLAGS})
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target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX>:${FLAG}>")
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endforeach()
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if("${CMAKE_C_COMPILER_ID}" STREQUAL "GNU" AND CMAKE_C_COMPILER_VERSION VERSION_LESS 13 AND CMAKE_C_COMPILER_VERSION VERSION_GREATER_EQUAL 12)
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target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CXX>:-Wno-maybe-uninitialized>")
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endif()
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if (onnxruntime_USE_CUDA)
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foreach(FLAG ${ORT_WARNING_FLAGS})
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target_compile_options(${target_name} PRIVATE "$<$<COMPILE_LANGUAGE:CUDA>:SHELL:--compiler-options ${FLAG}>")
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@ -1172,11 +1181,11 @@ if (onnxruntime_USE_ACL OR onnxruntime_USE_ACL_1902 OR onnxruntime_USE_ACL_1905
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if (onnxruntime_USE_ACL_2002)
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add_definitions(-DACL_2002=1)
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else()
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if (onnxruntime_USE_ACL_2308)
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add_definitions(-DACL_2308=1)
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else()
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if (onnxruntime_USE_ACL_2308)
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add_definitions(-DACL_2308=1)
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else()
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add_definitions(-DACL_1905=1)
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endif()
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endif()
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endif()
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endif()
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endif()
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@ -12,7 +12,7 @@
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# NOTE: You must run deps_update_and_upload.py and generate_cgmanifest.py when ready to test your changes in a CI.
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# See https://microsoft.sharepoint.com/teams/ONNX2/_layouts/OneNote.aspx?id=%2Fteams%2FONNX2%2FShared%20Documents%2FNotebooks%2FONNX%20Ecosystem%20Team%20Notebook&wd=target%28Development.one%7C63D3AB47-51D1-4A62-9965-66882234BD44%2FAdd%20or%20update%20a%20dependency%20in%20deps.txt%7C0E9ED71D-89D5-40FA-B05F-C0123289C591%2F%29
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#
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abseil_cpp;https://github.com/abseil/abseil-cpp/archive/refs/tags/20240116.0.zip;bc2cec6baaad67fcb6c0c38972b687d4797927e9
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abseil_cpp;https://github.com/abseil/abseil-cpp/archive/f46495ea96f68fc3f6c394f099b2992743f6ff7f.zip;0e2b6d1dc7f0a808d1e23f7dd985f7bc18d52cbc
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coremltools;https://github.com/apple/coremltools/archive/refs/tags/7.1.zip;f1bab0f30966f2e217d8e01207d518f230a1641a
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cxxopts;https://github.com/jarro2783/cxxopts/archive/3c73d91c0b04e2b59462f0a741be8c07024c1bc0.zip;6c6ca7f8480b26c8d00476e0e24b7184717fe4f0
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date;https://github.com/HowardHinnant/date/archive/refs/tags/v3.0.1.zip;2dac0c81dc54ebdd8f8d073a75c053b04b56e159
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2
cmake/external/dml.cmake
vendored
2
cmake/external/dml.cmake
vendored
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@ -41,7 +41,7 @@ if (NOT onnxruntime_USE_CUSTOM_DIRECTML)
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set(NUGET_CONFIG ${PROJECT_SOURCE_DIR}/../NuGet.config)
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set(PACKAGES_CONFIG ${PROJECT_SOURCE_DIR}/../packages.config)
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get_filename_component(PACKAGES_DIR ${CMAKE_CURRENT_BINARY_DIR}/../packages ABSOLUTE)
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set(DML_PACKAGE_DIR ${PACKAGES_DIR}/Microsoft.AI.DirectML.1.14.1)
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set(DML_PACKAGE_DIR ${PACKAGES_DIR}/Microsoft.AI.DirectML.1.15.1)
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# Restore nuget packages, which will pull down the DirectML redist package.
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add_custom_command(
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@ -1,8 +1,43 @@
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diff --git a/absl/base/attributes.h b/absl/base/attributes.h
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index 5ea5ee3e..f4949898 100644
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--- a/absl/base/attributes.h
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+++ b/absl/base/attributes.h
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@@ -559,7 +559,7 @@
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#undef ABSL_ATTRIBUTE_UNUSED
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#define ABSL_ATTRIBUTE_UNUSED __attribute__((__unused__))
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#else
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-#define ABSL_ATTRIBUTE_UNUSED
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+#define ABSL_ATTRIBUTE_UNUSED [[maybe_unused]]
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#endif
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// ABSL_ATTRIBUTE_INITIAL_EXEC
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diff --git a/absl/container/internal/raw_hash_set.h b/absl/container/internal/raw_hash_set.h
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index d4fe8f5c..27418d13 100644
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--- a/absl/container/internal/raw_hash_set.h
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+++ b/absl/container/internal/raw_hash_set.h
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@@ -1924,7 +1924,7 @@ HashtablezInfoHandle SampleHashtablezInfo(size_t sizeof_slot, size_t sizeof_key,
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// In SOO, we sample on the first insertion so if this is an empty SOO case
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// (e.g. when reserve is called), then we still need to sample.
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if (kSooEnabled && was_soo && c.size() == 0) {
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- return Sample(sizeof_slot, sizeof_key, sizeof_value, SooCapacity());
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+ return Sample(sizeof_slot, sizeof_key, sizeof_value, (int16_t)SooCapacity());
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}
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// For non-SOO cases, we sample whenever the capacity is increasing from zero
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// to non-zero.
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@@ -3525,7 +3525,7 @@ class raw_hash_set {
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assert(is_soo());
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if (!ShouldSampleHashtablezInfo<CharAlloc>()) return HashtablezInfoHandle{};
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return Sample(sizeof(slot_type), sizeof(key_type), sizeof(value_type),
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- SooCapacity());
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+ (int16_t)SooCapacity());
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}
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inline void destroy_slots() {
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diff --git a/absl/copts/GENERATED_AbseilCopts.cmake b/absl/copts/GENERATED_AbseilCopts.cmake
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index a4ab1aa2..dfd13fd7 100644
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index da2282fe..4c7fc26f 100644
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--- a/absl/copts/GENERATED_AbseilCopts.cmake
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+++ b/absl/copts/GENERATED_AbseilCopts.cmake
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@@ -129,8 +129,6 @@ list(APPEND ABSL_MSVC_FLAGS
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@@ -181,8 +181,6 @@ list(APPEND ABSL_MSVC_FLAGS
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"/wd4005"
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"/wd4068"
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"/wd4180"
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@ -10,12 +45,12 @@ index a4ab1aa2..dfd13fd7 100644
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- "/wd4267"
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"/wd4503"
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"/wd4800"
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)
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"/DNOMINMAX"
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diff --git a/absl/copts/GENERATED_copts.bzl b/absl/copts/GENERATED_copts.bzl
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index a6efc98e..8c4de8e7 100644
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index b9e0071e..dd8410ec 100644
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--- a/absl/copts/GENERATED_copts.bzl
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+++ b/absl/copts/GENERATED_copts.bzl
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@@ -130,8 +130,6 @@ ABSL_MSVC_FLAGS = [
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@@ -182,8 +182,6 @@ ABSL_MSVC_FLAGS = [
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"/wd4005",
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"/wd4068",
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"/wd4180",
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@ -23,12 +58,12 @@ index a6efc98e..8c4de8e7 100644
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- "/wd4267",
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"/wd4503",
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"/wd4800",
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]
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"/DNOMINMAX",
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diff --git a/absl/copts/copts.py b/absl/copts/copts.py
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index e6e11949..0aa7d868 100644
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index 2d85ac74..4875d668 100644
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--- a/absl/copts/copts.py
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+++ b/absl/copts/copts.py
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@@ -115,10 +115,6 @@ MSVC_WARNING_FLAGS = [
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@@ -118,10 +118,6 @@ MSVC_WARNING_FLAGS = [
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"/wd4068", # unknown pragma
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# qualifier applied to function type has no meaning; ignored
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"/wd4180",
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|
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@ -8,6 +8,11 @@ For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://ak
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Changes
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-------
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1.18.2
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^^^^^^
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Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.18.2
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1.18.1
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^^^^^^
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@ -4,4 +4,4 @@
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// This file is generated by /js/scripts/update-version.ts
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// Do not modify file content manually.
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export const version = '1.18.1';
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export const version = '1.18.2';
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|
|
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4
js/common/package-lock.json
generated
4
js/common/package-lock.json
generated
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@ -1,12 +1,12 @@
|
|||
{
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"name": "onnxruntime-common",
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"version": "1.18.1",
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"version": "1.18.2",
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"lockfileVersion": 2,
|
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"requires": true,
|
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"packages": {
|
||||
"": {
|
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"name": "onnxruntime-common",
|
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"version": "1.18.1",
|
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"version": "1.18.2",
|
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"license": "MIT",
|
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"devDependencies": {
|
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"typedoc": "^0.25.7"
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|
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@ -2,7 +2,7 @@
|
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"license": "MIT",
|
||||
"type": "module",
|
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"name": "onnxruntime-common",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"repository": {
|
||||
"url": "https://github.com/Microsoft/onnxruntime.git",
|
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"type": "git"
|
||||
|
|
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|||
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@ -4,4 +4,4 @@
|
|||
// This file is generated by /js/scripts/update-version.ts
|
||||
// Do not modify file content manually.
|
||||
|
||||
export const version = '1.18.1';
|
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export const version = '1.18.2';
|
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|
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6
js/node/package-lock.json
generated
6
js/node/package-lock.json
generated
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@ -1,12 +1,12 @@
|
|||
{
|
||||
"name": "onnxruntime-node",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"lockfileVersion": 2,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "onnxruntime-node",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"hasInstallScript": true,
|
||||
"license": "MIT",
|
||||
"os": [
|
||||
|
|
@ -29,7 +29,7 @@
|
|||
},
|
||||
"../common": {
|
||||
"name": "onnxruntime-common",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"license": "MIT",
|
||||
"devDependencies": {
|
||||
"typedoc": "^0.25.7"
|
||||
|
|
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|||
|
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@ -13,7 +13,7 @@
|
|||
3
|
||||
]
|
||||
},
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"dependencies": {
|
||||
"onnxruntime-common": "file:../common",
|
||||
"tar": "^7.0.1"
|
||||
|
|
|
|||
|
|
@ -4,4 +4,4 @@
|
|||
// This file is generated by /js/scripts/update-version.ts
|
||||
// Do not modify file content manually.
|
||||
|
||||
export const version = '1.18.1';
|
||||
export const version = '1.18.2';
|
||||
|
|
|
|||
|
|
@ -36,7 +36,7 @@
|
|||
"registry": "https://registry.npmjs.org/"
|
||||
},
|
||||
"source": "lib/index",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"main": "dist/commonjs/index",
|
||||
"homepage": "https://github.com/microsoft/onnxruntime/blob/main/js/react_native/README.md",
|
||||
"files": [
|
||||
|
|
|
|||
|
|
@ -5254,7 +5254,7 @@ onetime@^5.1.0, onetime@^5.1.2:
|
|||
mimic-fn "^2.1.0"
|
||||
|
||||
"onnxruntime-common@file:../common":
|
||||
version "1.18.1"
|
||||
version "1.18.2"
|
||||
|
||||
open@^6.2.0:
|
||||
version "6.4.0"
|
||||
|
|
|
|||
|
|
@ -4,4 +4,4 @@
|
|||
// This file is generated by /js/scripts/update-version.ts
|
||||
// Do not modify file content manually.
|
||||
|
||||
export const version = '1.18.1';
|
||||
export const version = '1.18.2';
|
||||
|
|
|
|||
6
js/web/package-lock.json
generated
6
js/web/package-lock.json
generated
|
|
@ -1,12 +1,12 @@
|
|||
{
|
||||
"name": "onnxruntime-web",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"lockfileVersion": 2,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "onnxruntime-web",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"flatbuffers": "^1.12.0",
|
||||
|
|
@ -49,7 +49,7 @@
|
|||
},
|
||||
"../common": {
|
||||
"name": "onnxruntime-common",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"license": "MIT",
|
||||
"devDependencies": {
|
||||
"typedoc": "^0.25.7"
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@
|
|||
"type": "git"
|
||||
},
|
||||
"author": "fs-eire",
|
||||
"version": "1.18.1",
|
||||
"version": "1.18.2",
|
||||
"jsdelivr": "dist/ort.min.js",
|
||||
"dependencies": {
|
||||
"flatbuffers": "^1.12.0",
|
||||
|
|
|
|||
|
|
@ -7,7 +7,7 @@ ONNX Runtime is a performance-focused scoring engine for Open Neural Network Exc
|
|||
For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://aka.ms/onnxruntime/>`_
|
||||
or the `Github project <https://github.com/microsoft/onnxruntime/>`_.
|
||||
"""
|
||||
__version__ = "1.18.1"
|
||||
__version__ = "1.18.2"
|
||||
__author__ = "Microsoft"
|
||||
|
||||
# we need to do device version validation (for example to check Cuda version for an onnxruntime-training package).
|
||||
|
|
|
|||
|
|
@ -8,26 +8,9 @@
|
|||
|
||||
namespace onnxruntime {
|
||||
|
||||
/*
|
||||
* It matches following pattern:
|
||||
* Pad
|
||||
* |
|
||||
* Conv/MaxPool
|
||||
*/
|
||||
bool PadFusion::SatisfyCondition(const Graph& graph, const Node& node, const logging::Logger&) const {
|
||||
// if Pad has input axis, don't fuse it.
|
||||
if (!graph_utils::IsSupportedOptypeVersionAndDomain(node, "Pad", {1, 2, 11, 13, 18, 19}) ||
|
||||
node.GetOutputEdgesCount() != 1 ||
|
||||
node.InputDefs().size() > 3) {
|
||||
return false;
|
||||
}
|
||||
|
||||
if (graph.NodeProducesGraphOutput(node)) {
|
||||
return false;
|
||||
}
|
||||
|
||||
const Node& child_node = *node.OutputNodesBegin();
|
||||
bool VerifyNotCastChild(const Node& child_node) {
|
||||
if (!graph_utils::IsSupportedOptypeVersionAndDomain(child_node, "Conv", {1, 11}) &&
|
||||
!graph_utils::IsSupportedOptypeVersionAndDomain(child_node, "AveragePool", {1, 7, 10, 11, 19}) &&
|
||||
!graph_utils::IsSupportedOptypeVersionAndDomain(child_node, "MaxPool", {1, 8, 10, 11, 12})) {
|
||||
return false;
|
||||
}
|
||||
|
|
@ -53,6 +36,45 @@ bool PadFusion::SatisfyCondition(const Graph& graph, const Node& node, const log
|
|||
return false;
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
void UpdatePaddingAttribute(Node& child_node, const std::vector<int64_t>& pads_values, const uint32_t pads_size) {
|
||||
auto child_pads = child_node.GetMutableAttributes()["pads"].mutable_ints();
|
||||
uint32_t child_pads_size = static_cast<uint32_t>(child_pads->size());
|
||||
|
||||
for (uint32_t pads_index = 2, child_index = 0; pads_index < pads_size / 2; pads_index++, child_index++) {
|
||||
child_pads->Set(child_index, child_pads->Get(child_index) + pads_values[pads_index]);
|
||||
uint32_t mirrored_child_index = child_index + (child_pads_size / 2);
|
||||
uint32_t mirrored_pad_index = pads_index + (pads_size / 2);
|
||||
child_pads->Set(mirrored_child_index, child_pads->Get(mirrored_child_index) + pads_values[mirrored_pad_index]);
|
||||
}
|
||||
}
|
||||
/*
|
||||
* Before:
|
||||
* Pad
|
||||
* |
|
||||
* Cast (Optional)
|
||||
* |
|
||||
* Conv/MaxPool/AveragePool
|
||||
*
|
||||
* After:
|
||||
* Cast (Optional)
|
||||
* |
|
||||
* Conv/MaxPool/AveragePool
|
||||
*/
|
||||
bool PadFusion::SatisfyCondition(const Graph& graph, const Node& node, const logging::Logger&) const {
|
||||
// if Pad has input axis, don't fuse it.
|
||||
if (!graph_utils::IsSupportedOptypeVersionAndDomain(node, "Pad", {1, 2, 11, 13, 18, 19}) ||
|
||||
node.GetOutputEdgesCount() != 1 ||
|
||||
node.InputDefs().size() > 3) {
|
||||
return false;
|
||||
}
|
||||
|
||||
if (graph.NodeProducesGraphOutput(node)) {
|
||||
return false;
|
||||
}
|
||||
|
||||
const NodeAttributes& pad_attributes = node.GetAttributes();
|
||||
if (pad_attributes.find("mode") != pad_attributes.end() &&
|
||||
pad_attributes.at("mode").s() != "constant") {
|
||||
|
|
@ -82,7 +104,19 @@ bool PadFusion::SatisfyCondition(const Graph& graph, const Node& node, const log
|
|||
}
|
||||
}
|
||||
|
||||
return true;
|
||||
const Node& child_node = *node.OutputNodesBegin();
|
||||
if (graph_utils::IsSupportedOptypeVersionAndDomain(child_node, "Cast", {1, 6, 9, 13})) {
|
||||
if (child_node.GetOutputEdgesCount() != 1) {
|
||||
return false;
|
||||
}
|
||||
|
||||
if (graph.NodeProducesGraphOutput(child_node)) {
|
||||
return false;
|
||||
}
|
||||
return VerifyNotCastChild(*child_node.OutputNodesBegin());
|
||||
} else {
|
||||
return VerifyNotCastChild(child_node);
|
||||
}
|
||||
}
|
||||
|
||||
/*
|
||||
|
|
@ -99,8 +133,6 @@ Status PadFusion::Apply(Graph& graph, Node& pad_node, RewriteRuleEffect& rule_ef
|
|||
pads_values.assign(pad_node.GetAttributes().at("pads").ints().begin(), pad_node.GetAttributes().at("pads").ints().end());
|
||||
}
|
||||
|
||||
assert(static_cast<uint32_t>(pads_values.size()) == (2 * static_cast<uint32_t>(pad_node.InputDefs()[0]->Shape()->dim_size())));
|
||||
|
||||
uint32_t pads_size = static_cast<uint32_t>(pads_values.size());
|
||||
// check if padding is applied only on feature dims
|
||||
if (pads_values[0] != 0 || pads_values[1] != 0 || pads_values[pads_size / 2] != 0 ||
|
||||
|
|
@ -114,18 +146,18 @@ Status PadFusion::Apply(Graph& graph, Node& pad_node, RewriteRuleEffect& rule_ef
|
|||
}
|
||||
|
||||
Node& child_node = *graph.GetNode(pad_node.OutputNodesBegin()->Index());
|
||||
auto child_pads = child_node.GetMutableAttributes()["pads"].mutable_ints();
|
||||
uint32_t child_pads_size = static_cast<uint32_t>(child_pads->size());
|
||||
|
||||
for (uint32_t pads_index = 2, child_index = 0; pads_index < pads_size / 2; pads_index++, child_index++) {
|
||||
child_pads->Set(child_index, child_pads->Get(child_index) + pads_values[pads_index]);
|
||||
uint32_t mirrored_child_index = child_index + (child_pads_size / 2);
|
||||
uint32_t mirrored_pad_index = pads_index + (pads_size / 2);
|
||||
child_pads->Set(mirrored_child_index, child_pads->Get(mirrored_child_index) + pads_values[mirrored_pad_index]);
|
||||
}
|
||||
// We don't need to cast the pad_constant_value because this fusion requires that constant_pad_value
|
||||
// to be zero. See PadFusion::SatisfyCondition for details.
|
||||
Node& target_padding_node = (child_node.OpType() == "Cast") ? *graph.GetNode(child_node.OutputNodesBegin()->Index()) : child_node;
|
||||
UpdatePaddingAttribute(target_padding_node, pads_values, pads_size);
|
||||
|
||||
graph_utils::RemoveNodeOutputEdges(graph, pad_node);
|
||||
graph_utils::ReplaceNodeInput(child_node, 0, *pad_node.MutableInputDefs()[0]);
|
||||
// Un-pad the output shape of Cast node
|
||||
if (child_node.OpType() == "Cast") {
|
||||
auto* cast_output_node_arg = child_node.MutableOutputDefs()[0];
|
||||
cast_output_node_arg->SetShape(*pad_node.MutableInputDefs()[0]->Shape());
|
||||
}
|
||||
graph.RemoveNode(pad_node.Index());
|
||||
rule_effect = RewriteRuleEffect::kRemovedCurrentNode;
|
||||
return Status::OK();
|
||||
|
|
|
|||
|
|
@ -8,7 +8,7 @@
|
|||
namespace onnxruntime {
|
||||
/*
|
||||
* This fusion submerges a Pad operator to it's child
|
||||
* Conv or MaxPool operator, if and only if PadFusion::SatisfyCondition()
|
||||
* Conv or MaxPool or AveragePool operator, if and only if PadFusion::SatisfyCondition()
|
||||
* is true.
|
||||
*/
|
||||
class PadFusion : public RewriteRule {
|
||||
|
|
|
|||
|
|
@ -16,6 +16,7 @@
|
|||
#include "hip_allocator.h"
|
||||
#include "gpu_data_transfer.h"
|
||||
#include "migraphx_inc.h"
|
||||
#include <hip/hip_version.h>
|
||||
|
||||
// TODO: find a better way to share this
|
||||
#include "core/providers/rocm/rocm_stream_handle.h"
|
||||
|
|
|
|||
|
|
@ -319,6 +319,8 @@ std::ostream& operator<<(std::ostream& out, const Qnn_Tensor_t& tensor) {
|
|||
}
|
||||
out << ")";
|
||||
out << " memType=" << GetQnnTensorMemType(tensor);
|
||||
// TODO: the code below has compilation errors with the latest ABSL
|
||||
#if 0
|
||||
if (GetQnnTensorMemType(tensor) == QNN_TENSORMEMTYPE_RAW) {
|
||||
if (GetQnnTensorDataType(tensor) == QNN_DATATYPE_FLOAT_32) {
|
||||
operator<< <float>(out, GetQnnTensorClientBuf(tensor));
|
||||
|
|
@ -335,6 +337,7 @@ std::ostream& operator<<(std::ostream& out, const Qnn_Tensor_t& tensor) {
|
|||
operator<< <int8_t>(out, GetQnnTensorClientBuf(tensor));
|
||||
}
|
||||
}
|
||||
#endif
|
||||
out << " quantizeParams:" << GetQnnTensorQParams(tensor);
|
||||
return out;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -2763,7 +2763,7 @@ static_assert(offsetof(OrtApi, SessionOptionsAppendExecutionProvider_OpenVINO_V2
|
|||
static_assert(offsetof(OrtApi, AddExternalInitializersFromFilesInMemory) / sizeof(void*) == 279, "Size of version 18 API cannot change");
|
||||
|
||||
// So that nobody forgets to finish an API version, this check will serve as a reminder:
|
||||
static_assert(std::string_view(ORT_VERSION) == "1.18.1",
|
||||
static_assert(std::string_view(ORT_VERSION) == "1.18.2",
|
||||
"ORT_Version change detected, please follow below steps to ensure OrtApi is updated properly");
|
||||
// 1. Update the hardcoded version string in above static_assert to silence it
|
||||
// 2. If there were any APIs added to ort_api_1_to_18 above:
|
||||
|
|
|
|||
|
|
@ -1030,6 +1030,10 @@ std::unique_ptr<std::set<BrokenTest>> GetBrokenTests(const std::string& provider
|
|||
// std::set<std::string> broken_tests_keyword_set = {};
|
||||
|
||||
if (provider_name == "cuda") {
|
||||
#ifdef ENABLE_TRAINING_CORE
|
||||
// cudnn frontend exception in orttraining-linux-gpu-ci-pipeline.
|
||||
broken_tests->insert({"keras_lotus_resnet3D", "Temporarily disabled pending investigation", {}});
|
||||
#endif
|
||||
#ifdef _WIN32
|
||||
broken_tests->insert({"LSTM_Seq_lens_unpacked", "this test fails with new image since Aug 25."});
|
||||
broken_tests->insert({"bidaf", "this test fails with new image since Aug 25."});
|
||||
|
|
|
|||
|
|
@ -769,6 +769,8 @@ def test_scatternd_correctness(device, indices):
|
|||
@pytest.mark.parametrize("input_requires_grad", [False, True])
|
||||
@pytest.mark.parametrize("conv_algo_search", [None, "EXHAUSTIVE", "HEURISTIC"])
|
||||
def test_gradient_correctness_conv1d(use_fp16, input_requires_grad, conv_algo_search):
|
||||
pytest.skip("Temporarily disabled pending investigation (might be related to cudnn frontend).")
|
||||
|
||||
class NeuralNetConv1D(torch.nn.Module):
|
||||
def __init__(self, in_channels, out_channels, kernel_size, padding=0, groups=1):
|
||||
super().__init__()
|
||||
|
|
@ -6013,7 +6015,7 @@ def test_e2e_padding_elimination():
|
|||
torch.manual_seed(seed)
|
||||
torch.cuda.manual_seed(seed)
|
||||
torch.cuda.manual_seed_all(seed)
|
||||
torch.backends.cudnn.determinstic = True
|
||||
torch.backends.cudnn.deterministic = True
|
||||
torch.backends.cudnn.benchmark = False
|
||||
|
||||
class OneLayer(torch.nn.Module):
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<packages>
|
||||
<package id="Microsoft.AI.DirectML" version="1.14.1" targetFramework="native" />
|
||||
<package id="Microsoft.AI.DirectML" version="1.15.1" targetFramework="native" />
|
||||
<package id="Microsoft.Windows.CppWinRT" version="2.0.201201.7" targetFramework="native" />
|
||||
<package id="google.protobuf.tools" version="3.21.12" targetFramework="native" />
|
||||
</packages>
|
||||
|
|
|
|||
|
|
@ -16,7 +16,6 @@ pr:
|
|||
branches:
|
||||
include:
|
||||
- main
|
||||
- rel-*
|
||||
paths:
|
||||
exclude:
|
||||
- docs/**
|
||||
|
|
|
|||
|
|
@ -16,7 +16,6 @@ pr:
|
|||
branches:
|
||||
include:
|
||||
- main
|
||||
- rel-*
|
||||
paths:
|
||||
exclude:
|
||||
- docs/**
|
||||
|
|
|
|||
|
|
@ -16,7 +16,6 @@ pr:
|
|||
branches:
|
||||
include:
|
||||
- main
|
||||
- rel-*
|
||||
paths:
|
||||
exclude:
|
||||
- docs/**
|
||||
|
|
@ -71,7 +70,7 @@ stages:
|
|||
--volume $(Build.BinariesDirectory):/build \
|
||||
--volume $(Agent.TempDirectory)/mnist:/mnist \
|
||||
onnxruntime_ortmodule_distributed_tests_image \
|
||||
bash -c "rm -rf /build/RelWithDebInfo/onnxruntime/ && python3 -m pip install /build/RelWithDebInfo/dist/onnxruntime*.whl && python3 -m onnxruntime.training.ortmodule.torch_cpp_extensions.install && /build/RelWithDebInfo/launch_test.py --cmd_line_with_args 'python orttraining_ortmodule_distributed_tests.py --mnist /mnist' --cwd /build/RelWithDebInfo" \
|
||||
bash -c "rm -rf /build/RelWithDebInfo/onnxruntime/ && python3 -m pip install /build/RelWithDebInfo/dist/onnxruntime*.whl && python3 -m pip install torch==2.3.1+cu118 --index-url https://download.pytorch.org/whl/cu118 && python3 -m onnxruntime.training.ortmodule.torch_cpp_extensions.install && echo temporarily skip /build/RelWithDebInfo/launch_test.py --cmd_line_with_args 'python orttraining_ortmodule_distributed_tests.py --mnist /mnist' --cwd /build/RelWithDebInfo" \
|
||||
displayName: 'Run orttraining_ortmodule_distributed_tests.py'
|
||||
condition: succeededOrFailed()
|
||||
timeoutInMinutes: 30
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ steps:
|
|||
packageType: upack
|
||||
feed: '/7424c8e4-5c62-490e-95c4-79446f31017c'
|
||||
definition: '517c4f6f-5437-4392-a70d-4f15ec5be2f0'
|
||||
version: 1.0.164
|
||||
version: 1.0.177
|
||||
downloadPath: $(Build.BinariesDirectory)/deps
|
||||
|
||||
# The private ADO project
|
||||
|
|
@ -22,7 +22,7 @@ steps:
|
|||
packageType: upack
|
||||
feed: '/4c7631f5-24c0-4307-8822-1aa8f180c325'
|
||||
definition: 'fd9dd5ad-b73e-4678-890e-edcf680dbc1a'
|
||||
version: 1.0.164
|
||||
version: 1.0.177
|
||||
downloadPath: $(Build.BinariesDirectory)/deps
|
||||
|
||||
# You can add more ADO accounts at here.
|
||||
|
|
|
|||
|
|
@ -21,7 +21,7 @@ steps:
|
|||
--volume $(Build.BinariesDirectory)/${{ parameters.BuildConfig }}:/build \
|
||||
--volume $(Agent.TempDirectory)/mnist:/mnist \
|
||||
${{ parameters.DockerImageTag }} \
|
||||
bash -c "rm -rf /build/onnxruntime/ && python3 -m pip install /build/dist/onnxruntime*.whl && python3 -m onnxruntime.training.ortmodule.torch_cpp_extensions.install && /build/launch_test.py --cmd_line_with_args 'python orttraining_ortmodule_tests.py --mnist /mnist --bert_data /bert_data/hf_data/glue_data/CoLA/original/raw' --cwd /build" \
|
||||
bash -c "rm -rf /build/onnxruntime/ && python3 -m pip show torch && python3 -m pip install torch==2.3.1+cu118 --index-url https://download.pytorch.org/whl/cu118 && python3 -m pip install /build/dist/onnxruntime*.whl && python3 -m onnxruntime.training.ortmodule.torch_cpp_extensions.install && /build/launch_test.py --cmd_line_with_args 'python orttraining_ortmodule_tests.py --mnist /mnist --bert_data /bert_data/hf_data/glue_data/CoLA/original/raw' --cwd /build" \
|
||||
displayName: 'Run orttraining_ortmodule_tests.py'
|
||||
condition: succeededOrFailed()
|
||||
timeoutInMinutes: 60
|
||||
|
|
@ -35,7 +35,7 @@ steps:
|
|||
--volume $(Build.SourcesDirectory):/onnxruntime_src \
|
||||
--volume $(Build.BinariesDirectory)/${{ parameters.BuildConfig }}:/build \
|
||||
${{ parameters.DockerImageTag }} \
|
||||
bash -c "rm -rf /build/onnxruntime/ && python3 -m pip install /build/dist/onnxruntime*.whl && /build/launch_test.py --cmd_line_with_args 'python orttraining_test_ort_apis.py --cwd /build' --cwd /build" \
|
||||
bash -c "rm -rf /build/onnxruntime/ && python3 -m pip install /build/dist/onnxruntime*.whl && python3 -m pip install torch==2.3.1+cu118 --index-url https://download.pytorch.org/whl/cu118 && /build/launch_test.py --cmd_line_with_args 'python orttraining_test_ort_apis.py --cwd /build' --cwd /build" \
|
||||
displayName: 'Run ORT Training APIs Tests'
|
||||
condition: succeededOrFailed()
|
||||
timeoutInMinutes: 120
|
||||
|
|
|
|||
|
|
@ -219,7 +219,7 @@ def add_common_dependencies(xml_text, package_name, version):
|
|||
|
||||
|
||||
def generate_dependencies(xml_text, package_name, version):
|
||||
dml_dependency = '<dependency id="Microsoft.AI.DirectML" version="1.14.1"/>'
|
||||
dml_dependency = '<dependency id="Microsoft.AI.DirectML" version="1.15.1"/>'
|
||||
|
||||
if package_name == "Microsoft.AI.MachineLearning":
|
||||
xml_text.append("<dependencies>")
|
||||
|
|
|
|||
Loading…
Reference in a new issue