mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-31 23:27:43 +00:00
5b5aa11b83
### Description
<!-- Describe your changes. -->
I think we should not use the eigen in the system directly, but should
first use the eigen specified in deps.txt. in ubuntu22.04, ORT fails to
compile when I install libeigen3-dev (which ROS2 humble depends on). The
error message is below:
```
[ 62%] Built target onnxruntime_lora
[ 62%] Building CXX object CMakeFiles/onnxruntime_session.dir/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/session/IOBinding.cc.o
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc: In member function ‘onnxruntime::common::Status onnxruntime::Min_6<T>::Compute(onnxruntime::OpKernelContext*) const [with T = float]’:
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:750:56: error: no matching function for call to ‘Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >::min<Eigen::PropagateNaN>(Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >)’
750 | min = min.array().template min<Eigen::PropagateNaN>(EigenMap<float>(data_n).array());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/eigen3/Eigen/Core:19,
from /home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/util/math_cpuonly.h:68,
from /home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.h:10,
from /home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:4:
/usr/include/eigen3/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:33:28: note: candidate: ‘template<class OtherDerived> const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::ArrayBase<Derived>::min(const Eigen::ArrayBase<OtherDerived>&) const [with OtherDerived = OtherDerived; Derived = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
33 | EIGEN_MAKE_CWISE_BINARY_OP(min,min)
| ^~~
/usr/include/eigen3/Eigen/src/Core/util/Macros.h:1339:4: note: in definition of macro ‘EIGEN_MAKE_CWISE_BINARY_OP’
1339 | (METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
| ^~~~~~
/usr/include/eigen3/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:33:28: note: template argument deduction/substitution failed:
33 | EIGEN_MAKE_CWISE_BINARY_OP(min,min)
| ^~~
/usr/include/eigen3/Eigen/src/Core/util/Macros.h:1339:4: note: in definition of macro ‘EIGEN_MAKE_CWISE_BINARY_OP’
1339 | (METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
| ^~~~~~
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:750:56: error: type/value mismatch at argument 1 in template parameter list for ‘template<class OtherDerived> const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::ArrayBase<Derived>::min(const Eigen::ArrayBase<OtherDerived>&) const [with OtherDerived = OtherDerived; Derived = Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >]’
750 | min = min.array().template min<Eigen::PropagateNaN>(EigenMap<float>(data_n).array());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:750:56: note: expected a type, got ‘Eigen::PropagateNaN’
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc: In lambda function:
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:802:77: error: no matching function for call to ‘Eigen::Map<const Eigen::Array<Eigen::half, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >::min<Eigen::PropagateNaN>(Eigen::half)’
802 | output_vec_map = input_1_vec_map.template min<Eigen::PropagateNaN>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
803 | static_cast<Eigen::half>(per_iter_bh.ScalarInput0<MLFloat16>()));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/eigen3/Eigen/Core:19,
from /home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/util/math_cpuonly.h:68,
from /home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.h:10,
from /home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:4:
/usr/include/eigen3/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:33:28: note: candidate: ‘template<class OtherDerived> const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::ArrayBase<Derived>::min(const Eigen::ArrayBase<OtherDerived>&) const [with OtherDerived = OtherDerived; Derived = Eigen::Map<const Eigen::Array<Eigen::half, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >]’
33 | EIGEN_MAKE_CWISE_BINARY_OP(min,min)
| ^~~
/usr/include/eigen3/Eigen/src/Core/util/Macros.h:1339:4: note: in definition of macro ‘EIGEN_MAKE_CWISE_BINARY_OP’
1339 | (METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
| ^~~~~~
/usr/include/eigen3/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:33:28: note: template argument deduction/substitution failed:
33 | EIGEN_MAKE_CWISE_BINARY_OP(min,min)
| ^~~
/usr/include/eigen3/Eigen/src/Core/util/Macros.h:1339:4: note: in definition of macro ‘EIGEN_MAKE_CWISE_BINARY_OP’
1339 | (METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
| ^~~~~~
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:802:77: error: type/value mismatch at argument 1 in template parameter list for ‘template<class OtherDerived> const Eigen::CwiseBinaryOp<Eigen::internal::scalar_min_op<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>, const Derived, const OtherDerived> Eigen::ArrayBase<Derived>::min(const Eigen::ArrayBase<OtherDerived>&) const [with OtherDerived = OtherDerived; Derived = Eigen::Map<const Eigen::Array<Eigen::half, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >]’
802 | output_vec_map = input_1_vec_map.template min<Eigen::PropagateNaN>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
803 | static_cast<Eigen::half>(per_iter_bh.ScalarInput0<MLFloat16>()));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:802:77: note: expected a type, got ‘Eigen::PropagateNaN’
/home/junchao/work/plugin/ai/onnxruntime/onnxruntime/core/providers/cpu/math/element_wise_ops.cc:805:77: error: no matching function for call to ‘Eigen::Map<const Eigen::Array<Eigen::half, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >::max<Eigen::PropagateNaN>(Eigen::half)’
805 | output_vec_map = input_1_vec_map.template max<Eigen::PropagateNaN>(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
806 | static_cast<Eigen::half>(per_iter_bh.ScalarInput0<MLFloat16>()));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
### 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. -->
Fix #23407
@lixing-star
|
||
|---|---|---|
| .. | ||
| external | ||
| patches | ||
| tensorboard | ||
| vcpkg-triplets | ||
| adjust_global_compile_flags.cmake | ||
| arm64x.cmake | ||
| CMakeLists.txt | ||
| CMakePresets.json | ||
| CMakeSettings.json | ||
| codeconv.runsettings | ||
| deps.txt | ||
| deps_update_and_upload.py | ||
| EnableVisualStudioCodeAnalysis.props | ||
| gdk_toolchain.cmake | ||
| hip_fatbin_insert | ||
| Info.plist.in | ||
| libonnxruntime.pc.cmake.in | ||
| linux_arm32_crosscompile_toolchain.cmake | ||
| linux_arm64_crosscompile_toolchain.cmake | ||
| maccatalyst_prepare_objects_for_prelink.py | ||
| nuget_helpers.cmake | ||
| onnxruntime.cmake | ||
| onnxruntime_common.cmake | ||
| onnxruntime_compile_triton_kernel.cmake | ||
| onnxruntime_config.h.in | ||
| onnxruntime_csharp.cmake | ||
| onnxruntime_flatbuffers.cmake | ||
| onnxruntime_framework.cmake | ||
| onnxruntime_framework.natvis | ||
| onnxruntime_fuzz_test.cmake | ||
| onnxruntime_graph.cmake | ||
| onnxruntime_ios.toolchain.cmake | ||
| onnxruntime_java.cmake | ||
| onnxruntime_java_unittests.cmake | ||
| onnxruntime_kernel_explorer.cmake | ||
| onnxruntime_lora.cmake | ||
| onnxruntime_mlas.cmake | ||
| onnxruntime_nodejs.cmake | ||
| onnxruntime_objectivec.cmake | ||
| onnxruntime_opschema_lib.cmake | ||
| onnxruntime_optimizer.cmake | ||
| onnxruntime_providers.cmake | ||
| onnxruntime_providers_acl.cmake | ||
| onnxruntime_providers_armnn.cmake | ||
| onnxruntime_providers_azure.cmake | ||
| onnxruntime_providers_cann.cmake | ||
| onnxruntime_providers_coreml.cmake | ||
| onnxruntime_providers_cpu.cmake | ||
| onnxruntime_providers_cuda.cmake | ||
| onnxruntime_providers_dml.cmake | ||
| onnxruntime_providers_dnnl.cmake | ||
| onnxruntime_providers_js.cmake | ||
| onnxruntime_providers_migraphx.cmake | ||
| onnxruntime_providers_nnapi.cmake | ||
| onnxruntime_providers_openvino.cmake | ||
| onnxruntime_providers_qnn.cmake | ||
| onnxruntime_providers_rknpu.cmake | ||
| onnxruntime_providers_rocm.cmake | ||
| onnxruntime_providers_tensorrt.cmake | ||
| onnxruntime_providers_vitisai.cmake | ||
| onnxruntime_providers_vsinpu.cmake | ||
| onnxruntime_providers_webgpu.cmake | ||
| onnxruntime_providers_webnn.cmake | ||
| onnxruntime_providers_xnnpack.cmake | ||
| onnxruntime_python.cmake | ||
| onnxruntime_rocm_hipify.cmake | ||
| onnxruntime_session.cmake | ||
| onnxruntime_snpe_provider.cmake | ||
| onnxruntime_training.cmake | ||
| onnxruntime_unittests.cmake | ||
| onnxruntime_util.cmake | ||
| onnxruntime_visionos.toolchain.cmake | ||
| onnxruntime_webassembly.cmake | ||
| precompiled_header.cmake | ||
| riscv64.toolchain.cmake | ||
| Sdl.ruleset | ||
| set_winapi_family_desktop.h | ||
| target_delayload.cmake | ||
| uwp_stubs.h | ||
| vcpkg-configuration.json | ||
| vcpkg.json | ||
| wcos_rules_override.cmake | ||
| winml.cmake | ||
| winml_cppwinrt.cmake | ||
| winml_sdk_helpers.cmake | ||
| winml_unittests.cmake | ||