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d8c61f7fbf
* [onnx] feature: foxi
* https://github.com/houseroad/foxi
* install the project's copyright (MIT)
* pytorch requires `foxi_loader`
The CMake target will be renamed to `onnxifi_*` for convenience.
* [onnx] force onnx/onnx_proto static in Windows
Checked the protject's CI logs. It turned out onnx/onnx_proto are ALWAYS static.
Specify it in CMakeLists.txt because vcpkg configures `BUILD_SHARED_LIBS=ON`
If the triplet requires it.
There are no `ONNXIFI_ENABLE_EXT=ON` case.
Removed the misused build options in portfile.
Add port feature `protobuf-lite` which is in build option.
* [onnx] support windows static triplets
* remove SHARED for `onnxifi_wrapper` and `onnxifi_dummy`
* [onnx] fix wrong LICENSE install
* [onnx] remove feature 'foxi'
* also remove redundant part in patch files
* [libtorch] rework patch files
* [libtorch] config fixup ATen, Torch
* use `link_libraries` to vcpkg installed folder
* future work may use library names without `find_library`
* update versions JSON to use `version-semver`
* [libtorch] make shared only
* Caffe2 is exported when BUILD_SHARED_LIBS
* [libtorch] remove headers after install
* [libtorch] rewrite patches and feature options
* checked osx / linux build
* [libtorch] use eigen3 always
* Caffe2 eigen_utils.h requires it
* [libtorch] error if BLAS feature collision
* [libtorch] remove !static
* [libtorch] replace vcpkg_find_acquire_program
* let's see python3 from find_program supports
* Dependency python3
* [libtorch] migrate works from luncliff/vcpkg-registry
* Update target version and dependencies
* Removed unsupported features
* [libtorch] misc fix, update version, baseline
* fix merge confict for 'onnx'
* [libtorch] install pip packages
* typing-extensions, pyyaml
* [libtorch] turn off Metal options
* [onnx] revert 'onnx' changes
* [libtorch] refine patches
* [libtorch] link with foxi_loader
* removed wrong onnx related source changes
* [libtorch] update git-tree
* [libtorch] reduce patch size
* [libtorch] find numa and activate USE_NUMA
* Update ports/libtorch/portfile.cmake
Co-authored-by: nicole mazzuca <83086508+strega-nil-ms@users.noreply.github.com>
* Update ports/libtorch/portfile.cmake
Co-authored-by: nicole mazzuca <83086508+strega-nil-ms@users.noreply.github.com>
* Update ports/libtorch/portfile.cmake
Co-authored-by: nicole mazzuca <83086508+strega-nil-ms@users.noreply.github.com>
* [libtorch] fix mistype and update version JSON
* Add double quotes
* version
* Fix support expression
* version
* [libtorch] update cpuinfo usage
* https://github.com/microsoft/vcpkg/pull/23944
* update version
* [tensorpipe] fix linux install
* find_package(Tensorpipe) may fail because of case mismatch
* [tensorpipe] update versions JSON
* [libtorch] fix feature failures
* [libtorch] remove CUDA feature
* [libtorch] giveup 'fbgemm' feature
* [libtorch] use mpi, openmpi in Linux
* [libtorch] fix glog link error
* [tensorpipe] bump port version
* see https://github.com/microsoft/vcpkg/pull/23569
* [libtorch] fix patch list
* [libtorch] use official libuv config
* see https://github.com/microsoft/vcpkg/pull/24745
* Update ports/libtorch/portfile.cmake
Co-authored-by: Jack·Boos·Yu <47264268+JackBoosY@users.noreply.github.com>
* Update ports/libtorch/portfile.cmake
Co-authored-by: Jack·Boos·Yu <47264268+JackBoosY@users.noreply.github.com>
* update versions JSON
* revert unnecessary 'nnpack' changes
* Update ports/libtorch/portfile.cmake
Co-authored-by: Adam Johnson <AdamJohnso@gmail.com>
* [libtorch] use vcpkg-get-python-packages
* [libtorch] provide path of python3
* Update ports/libtorch/portfile.cmake
Co-authored-by: Billy O'Neal <bion@microsoft.com>
* Fix version database.
* [libtorch] use openmpi in linux/osx
* [libtorch] update to v1.12.1
* [libtorch] find_program(python3, python)
* [libtorch] provide PYTHON_EXECUTABLE directly
* [xnnpack] update to 2022-02-17
* [xnnpack] use C11, C++11
* [libtorch] more patches, DISABLE_PARALLEL_CONFIGURE
* [libtorch] allow static torch_cpu build
* Revert "[libtorch] allow static torch_cpu build"
This reverts commit 5fd4ef0bbe.
* [libtorch] find_package(BLAS)
* [libtorch] simplify Python3, NumPy option use
* [libtorch] fix install in Windows
* [libtorch] exclude torch_global_deps in Windows
* [libtorch] platform of nnpack feature
* [libtorch] fix MPI option in Windows
* [libtorch] fixing LNK1161
* [libtorch] fix some mistypes
* [libtorch] define NOMINMAX for c10
* [libtorch] disable vulkan feature in Windows
* ci.baseline.txt: allow libtorch failure
* fails with Visual Studio 2022 17.4.2
* requires 17.4.3+
* Enable testing port on Windows
* [caffe2] redirect to libtorch
* update baseline
Co-authored-by: JackBoosY <yuzaiyang@beyondsoft.com>
Co-authored-by: nicole mazzuca <83086508+strega-nil-ms@users.noreply.github.com>
Co-authored-by: Billy Robert O'Neal <bion@microsoft.com>
Co-authored-by: Jack·Boos·Yu <47264268+JackBoosY@users.noreply.github.com>
Co-authored-by: Adam Johnson <AdamJohnso@gmail.com>
Co-authored-by: Victor Romero <romerosanchezv@gmail.com>
16 lines
744 B
Diff
16 lines
744 B
Diff
diff --git a/aten/src/ATen/cpu/vec/vec_base.h b/aten/src/ATen/cpu/vec/vec_base.h
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index 635ec8c82e5d..1974d55943b3 100644
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--- a/aten/src/ATen/cpu/vec/vec_base.h
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+++ b/aten/src/ATen/cpu/vec/vec_base.h
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@@ -132,8 +132,9 @@ struct Vectorized {
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// versions GCC/Clang have buggy determinations on whether or not an
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// identifier is odr-used or not, and in any case it's hard to tell if
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// a variable is odr-used or not. So best to just cut the problem at the root.
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+ static constexpr size_type size_T = sizeof(T); // Workaround to compile with VS2022.
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static constexpr size_type size() {
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- return VECTOR_WIDTH / sizeof(T);
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+ return VECTOR_WIDTH / size_T;
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}
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Vectorized() : values{static_cast<T>(0)} {}
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Vectorized(T val) {
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