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onnxruntime/cmake/external
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junchao-zhao 5b5aa11b83
Fix eigen external deps (#23439) 
### 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
2025-01-21 12:40:42 -08:00
..
emsdk@d52c465201 Revert "Upgrade emsdk from 3.1.59 to 3.1.62" (#21817) 2024-08-22 11:21:00 -07:00
git.Win32.2.41.03.patch Fix ability to use patch on Windows CI machines (#18356) 2023-11-11 07:32:14 +10:00
libprotobuf-mutator@7a2ed51a6b
onnx@b8baa84466 Integrate onnx 1.17.0 (#21897) 2024-12-24 09:02:02 -08:00
abseil-cpp.cmake Upgrade absl to the latest released version (#22365) 2024-10-09 20:21:40 -07:00
abseil-cpp.natvis Upgrade absl to the latest released version (#22365) 2024-10-09 20:21:40 -07:00
composable_kernel.cmake [MIGraphX EP/ ROCm EP] add gfx1200, gfx1201 to CMAKE_HIP_ARCHITECTURES (#22348) 2024-10-11 17:31:36 -07:00
cuDNN.cmake [CUDA] cuDNN Flash Attention (#21629) 2024-08-20 08:50:22 -07:00
cudnn_frontend.cmake Adding CUDNN Frontend and use for CUDA NN Convolution (#19470) 2024-08-02 15:16:42 -07:00
cutlass.cmake Upgrade cutlass to 3.5.1 and cudnn frontend to 1.7.0 (#22316) 2024-10-04 11:48:50 -07:00
dml.cmake [DML EP] Update DML to 1.15.4 (#22635) 2024-10-29 17:13:57 -07:00
dnnl.cmake Update oneDNN to v3.0.1 in order to support gcc 13 (#19344) 2024-02-01 15:39:03 -08:00
eigen.cmake Remove deprecated static from Eigen that contributes to size increase (#23084) 2024-12-12 10:19:47 -08:00
extensions.cmake Update C/C++ dependencies: abseil, date, nsync, googletest, wil, mp11, cpuinfo and safeint (#15470) 2023-09-08 13:35:04 -07:00
find_snpe.cmake
FindNumPy.cmake
helper_functions.cmake Put all external project targets under the 'External' folder in VS (#21765) 2024-08-16 15:51:50 +10:00
ipp-crypto.cmake
mimalloc.cmake
onnx_minimal.cmake
onnx_protobuf.natvis
onnxruntime_external_deps.cmake Fix eigen external deps (#23439) 2025-01-21 12:40:42 -08:00
protobuf_function.cmake
pybind11.cmake
pyxir.cmake
wil.cmake
xnnpack.cmake Update xnnpack, cpuinfo and pthreadpool (#23362) 2025-01-15 09:42:15 -08:00