<p dir="auto">Username:<br>
Linux chandu 4.15.0-24-generic <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="177048050" data-permission-text="Title is private" data-url="https://github.com/pytorch/pytorch/issues/26" data-hovercard-type="issue" data-hovercard-url="/pytorch/pytorch/issues/26/hovercard" href="https://github.com/pytorch/pytorch/issues/26">#26</a>~16.04.1-Ubuntu SMP Fri Jun 15 14:35:08 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux</p>
<p dir="auto">This is the process I have followed:<br>
<a href="url">https://caffe2.ai/docs/getting-started.html?platform=ubuntu&amp;configuration=compile</a></p>
<p dir="auto">1).<br>
sudo apt-get update<br>
sudo apt-get install -y --no-install-recommends <br>
build-essential <br>
cmake <br>
git <br>
libgoogle-glog-dev <br>
libgtest-dev <br>
libiomp-dev <br>
libleveldb-dev <br>
liblmdb-dev <br>
libopencv-dev <br>
libopenmpi-dev <br>
libsnappy-dev <br>
libprotobuf-dev <br>
openmpi-bin <br>
openmpi-doc <br>
protobuf-compiler <br>
python-dev <br>
python-pip</p>
<p dir="auto">pip install --user <br>
future <br>
numpy <br>
protobuf</p>
<ol start="2" dir="auto">
<li>
<p dir="auto">sudo apt-get install -y --no-install-recommends libgflags-dev</p>
</li>
<li>
<p dir="auto">git clone --recursive <a href="https://github.com/pytorch/pytorch.git">https://github.com/pytorch/pytorch.git</a> &amp;&amp; cd pytorch</p>
</li>
<li>
<p dir="auto">git submodule update --init</p>
</li>
<li>
<p dir="auto">mkdir build &amp;&amp; cd build</p>
</li>
<li>
<p dir="auto">cmake ..</p>
</li>
</ol>
<p dir="auto">The output of cmake .. is:</p>
<p dir="auto">-- Not forcing any particular BLAS to be found<br>
-- Build type not set - defaulting to Release<br>
-- Performing Test CAFFE2_LONG_IS_INT32_OR_64<br>
-- Performing Test CAFFE2_LONG_IS_INT32_OR_64 - Success<br>
-- Does not need to define long separately.<br>
-- Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED<br>
-- Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED - Success<br>
-- std::exception_ptr is supported.<br>
-- Performing Test CAFFE2_IS_NUMA_AVAILABLE<br>
-- Performing Test CAFFE2_IS_NUMA_AVAILABLE - Success<br>
-- NUMA is available<br>
-- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING<br>
-- Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING - Success<br>
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS<br>
-- Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS - Success<br>
-- Current compiler supports avx2 extention. Will build perfkernels.<br>
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY<br>
-- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Success<br>
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY<br>
-- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Success<br>
-- Building using own protobuf under third_party per request.<br>
-- Use custom protobuf build.<br>
-- Looking for pthread.h<br>
-- Looking for pthread.h - found<br>
-- Looking for pthread_create<br>
-- Looking for pthread_create - not found<br>
-- Looking for pthread_create in pthreads<br>
-- Looking for pthread_create in pthreads - not found<br>
-- Looking for pthread_create in pthread<br>
-- Looking for pthread_create in pthread - found<br>
-- Found Threads: TRUE<br>
-- Caffe2 protobuf include directory: <math-renderer class="js-inline-math" style="display: inline" data-static-url="https://github.githubassets.com/static" data-run-id="dc312a61f953cd5482c9e1f7894a7b0f">$&amp;lt;BUILD_INTERFACE:/home/chandu/workspace/tracking/pytorch/third_party/protobuf/src&amp;gt;$</math-renderer>&amp;lt;INSTALL_INTERFACE:include&gt;<br>
-- Found Git: /usr/bin/git (found version "2.7.4")<br>
-- The BLAS backend of choice:Eigen<br>
-- Brace yourself, we are building NNPACK<br>
-- The ASM compiler identification is GNU<br>
-- Found assembler: /usr/bin/gcc-4.9<br>
-- Found PythonInterp: /usr/bin/python (found version "2.7.12")<br>
-- Check if compiler accepts -pthread<br>
-- Check if compiler accepts -pthread - yes<br>
-- Caffe2: Cannot find gflags automatically. Using legacy find.<br>
-- Found gflags: /usr/include<br>
-- Caffe2: Found gflags  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libgflags.so)<br>
-- Caffe2: Cannot find glog automatically. Using legacy find.<br>
-- Found glog: /usr/include<br>
-- Caffe2: Found glog (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libglog.so)<br>
-- Found LMDB: /usr/include<br>
-- Found lmdb    (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so)<br>
-- Found LevelDB: /usr/include<br>
-- Found LevelDB (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so)<br>
-- Found Snappy: /usr/include<br>
-- Found Snappy  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so)<br>
-- Found Numa: /usr/include<br>
-- Found Numa  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libnuma.so)<br>
-- OpenCV found (/usr/share/OpenCV)<br>
CMake Warning at cmake/Dependencies.cmake:330 (find_package):<br>
By not providing "FindEigen3.cmake" in CMAKE_MODULE_PATH this project has<br>
asked CMake to find a package configuration file provided by "Eigen3", but<br>
CMake did not find one.</p>
<p dir="auto">Could not find a package configuration file provided by "Eigen3" with any<br>
of the following names:</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="Eigen3Config.cmake
eigen3-config.cmake"><pre class="notranslate"><code class="notranslate">Eigen3Config.cmake
eigen3-config.cmake
</code></pre></div>
<p dir="auto">Add the installation prefix of "Eigen3" to CMAKE_PREFIX_PATH or set<br>
"Eigen3_DIR" to a directory containing one of the above files.  If "Eigen3"<br>
provides a separate development package or SDK, be sure it has been<br>
installed.<br>
Call Stack (most recent call first):<br>
CMakeLists.txt:190 (include)</p>
<p dir="auto">-- Did not find system Eigen. Using third party subdirectory.<br>
-- Found PythonInterp: /usr/bin/python (found suitable version "2.7.12", minimum required is "2.7")<br>
-- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython2.7.so (found suitable version "2.7.12", minimum required is "2.7")<br>
-- Found NumPy: /usr/local/lib/python2.7/dist-packages/numpy/core/include (found version "1.14.0")<br>
-- NumPy ver. 1.14.0 found (include: /usr/local/lib/python2.7/dist-packages/numpy/core/include)<br>
-- Could NOT find pybind11 (missing:  pybind11_INCLUDE_DIR)<br>
-- Found MPI_C: /usr/lib/openmpi/lib/libmpi.so<br>
-- Found MPI_CXX: /usr/lib/openmpi/lib/libmpi_cxx.so;/usr/lib/openmpi/lib/libmpi.so<br>
-- MPI support found<br>
-- MPI compile flags:<br>
-- MPI include path: /usr/lib/openmpi/include/openmpi/opal/mca/event/libevent2021/libevent/usr/lib/openmpi/include/openmpi/opal/mca/event/libevent2021/libevent/include/usr/lib/openmpi/include/usr/lib/openmpi/include/openmpi<br>
-- MPI LINK flags path:  -Wl,-rpath  -Wl,/usr/lib/openmpi/lib  -Wl,--enable-new-dtags<br>
-- MPI libraries: /usr/lib/openmpi/lib/libmpi_cxx.so/usr/lib/openmpi/lib/libmpi.so<br>
CMake Warning at cmake/Dependencies.cmake:396 (message):<br>
OpenMPI found, but it is not built with CUDA support.<br>
Call Stack (most recent call first):<br>
CMakeLists.txt:190 (include)</p>
<p dir="auto">-- Found CUDA: /usr/local/cuda (found suitable version "9.0", minimum required is "7.0")<br>
-- Caffe2: CUDA detected: 9.0<br>
-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc<br>
-- Caffe2: CUDA toolkit directory: /usr/local/cuda<br>
-- Caffe2: Header version is: 9.0<br>
-- Found CUDNN: /usr/include<br>
-- Found cuDNN: v7.0.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)<br>
-- Autodetected CUDA architecture(s): 6.1 6.1 6.1 6.1<br>
-- Added CUDA NVCC flags for: -gencode;arch=compute_61,code=sm_61<br>
-- Found NCCL: /usr/local/include<br>
-- Determining NCCL version from the header file: /usr/local/include/nccl.h<br>
-- Found NCCL (include: /usr/local/include, library: /usr/local/lib/libnccl.so)<br>
-- Could NOT find CUB (missing:  CUB_INCLUDE_DIR)<br>
-- Could NOT find Gloo (missing:  Gloo_INCLUDE_DIR Gloo_LIBRARY)<br>
-- MPI include path: /usr/lib/openmpi/include/openmpi/opal/mca/event/libevent2021/libevent/usr/lib/openmpi/include/openmpi/opal/mca/event/libevent2021/libevent/include/usr/lib/openmpi/include/usr/lib/openmpi/include/openmpi<br>
-- MPI libraries: /usr/lib/openmpi/lib/libmpi_cxx.so/usr/lib/openmpi/lib/libmpi.so<br>
-- CUDA detected: 9.0<br>
-- Found libcuda: /usr/lib/x86_64-linux-gnu/libcuda.so<br>
-- Found libnvrtc: /usr/lib/x86_64-linux-gnu/libnvrtc.so<br>
-- Determining NCCL version from the header file: /usr/local/include/nccl.h<br>
-- Found NCCL (include: /usr/local/include, library: /usr/local/lib/libnccl.so)<br>
CMake Warning at cmake/Dependencies.cmake:623 (message):<br>
mobile opengl is only used in android or ios builds.<br>
Call Stack (most recent call first):<br>
CMakeLists.txt:190 (include)</p>
<p dir="auto">CMake Warning at cmake/Dependencies.cmake:699 (message):<br>
Metal is only used in ios builds.<br>
Call Stack (most recent call first):<br>
CMakeLists.txt:190 (include)</p>
<p dir="auto">-- GCC 5.5.0: Adding gcc and gcc_s libs to link line<br>
-- Include NCCL operators<br>
-- Excluding ideep operators as we are not using ideep<br>
-- Including image processing operators<br>
-- Excluding video processing operators due to no opencv<br>
-- Excluding mkl operators as we are not using mkl<br>
-- Include Observer library<br>
-- Using lib/python2.7/dist-packages as python relative installation path<br>
-- Automatically generating missing <strong>init</strong>.py files.<br>
CMake Warning at CMakeLists.txt:353 (message):<br>
Generated cmake files are only fully tested if one builds with system glog,<br>
gflags, and protobuf.  Other settings may generate files that are not well<br>
tested.</p>
<h2 dir="auto">--<br>
-- ******** Summary ********<br>
-- General:<br>
--   CMake version         : 3.5.1<br>
--   CMake command         : /usr/bin/cmake<br>
--   Git version           : v0.1.11-9300-gbb9ff58-dirty<br>
--   System                : Linux<br>
--   C++ compiler          : /usr/bin/g++-4.9<br>
--   C++ compiler version  : 5.5.0<br>
--   BLAS                  : Eigen<br>
--   CXX flags             :  -fvisibility-inlines-hidden -DONNX_NAMESPACE=onnx_c2 -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-aliasing -Wno-error=deprecated-declarations<br>
--   Build type            : Release<br>
--   Compile definitions   :<br>
--   CMAKE_PREFIX_PATH     :<br>
--   CMAKE_INSTALL_PREFIX  : /usr/local</h2>
<p dir="auto">--   BUILD_CAFFE2          : ON<br>
--   BUILD_ATEN            : OFF<br>
--   BUILD_BINARY          : ON<br>
--   BUILD_CUSTOM_PROTOBUF : ON<br>
--     Link local protobuf : ON<br>
--   BUILD_DOCS            : OFF<br>
--   BUILD_PYTHON          : ON<br>
--     Python version      : 2.7.12<br>
--     Python executable   : /usr/bin/python<br>
--     Python includes     : /usr/include/python2.7<br>
--     Python site-packages: lib/python2.7/dist-packages<br>
--   BUILD_SHARED_LIBS     : ON<br>
--   BUILD_TEST            : OFF<br>
--   USE_ASAN              : OFF<br>
--   USE_ATEN              : OFF<br>
--   USE_CUDA              : ON<br>
--     CUDA static link    : OFF<br>
--     USE_CUDNN           : ON<br>
--     CUDA version        : 9.0<br>
--     cuDNN version       : 7.0.5<br>
--     CUDA root directory : /usr/local/cuda<br>
--     CUDA library        : /usr/lib/x86_64-linux-gnu/libcuda.so<br>
--     cudart library      : /usr/local/cuda/lib64/libcudart_static.a;-pthread;dl;/usr/lib/x86_64-linux-gnu/librt.so<br>
--     cublas library      : /usr/local/cuda/lib64/libcublas.so;/usr/local/cuda/lib64/libcublas_device.a<br>
--     cufft library       : /usr/local/cuda/lib64/libcufft.so<br>
--     curand library      : /usr/local/cuda/lib64/libcurand.so<br>
--     cuDNN library       : /usr/lib/x86_64-linux-gnu/libcudnn.so<br>
--     nvrtc               : /usr/lib/x86_64-linux-gnu/libnvrtc.so<br>
--     CUDA include path   : /usr/local/cuda/include<br>
--     NVCC executable     : /usr/local/cuda/bin/nvcc<br>
--     CUDA host compiler  : /usr/bin/gcc-4.9<br>
--     USE_TENSORRT        : OFF<br>
--   USE_ROCM              : OFF<br>
--   USE_EIGEN_FOR_BLAS    : ON<br>
--   USE_FFMPEG            : OFF<br>
--   USE_GFLAGS            : ON<br>
--   USE_GLOG              : ON<br>
--   USE_GLOO              : ON<br>
--     USE_GLOO_IBVERBS    : OFF<br>
--   USE_LEVELDB           : ON<br>
--     LevelDB version     : 1.18<br>
--     Snappy version      : 1.1.3<br>
--   USE_LITE_PROTO        : OFF<br>
--   USE_LMDB              : ON<br>
--     LMDB version        : 0.9.17<br>
--   USE_METAL             : OFF<br>
--   USE_MKL               :<br>
--   USE_MOBILE_OPENGL     : OFF<br>
--   USE_MPI               : ON<br>
--   USE_NCCL              : ON<br>
--     USE_SYSTEM_NCCL     : OFF<br>
--   USE_NERVANA_GPU       : OFF<br>
--   USE_NNPACK            : ON<br>
--   USE_OBSERVERS         : ON<br>
--   USE_OPENCL            : OFF<br>
--   USE_OPENCV            : ON<br>
--     OpenCV version      : 2.4.9.1<br>
--   USE_OPENMP            : OFF<br>
--   USE_PROF              : OFF<br>
--   USE_REDIS             : OFF<br>
--   USE_ROCKSDB           : OFF<br>
--   USE_ZMQ               : OFF<br>
--   Public Dependencies  : Threads::Threads;gflags;glog::glog<br>
--   Private Dependencies : nnpack;cpuinfo;/usr/lib/x86_64-linux-gnu/liblmdb.so;/usr/lib/x86_64-linux-gnu/libleveldb.so;/usr/lib/x86_64-linux-gnu/libsnappy.so;/usr/lib/x86_64-linux-gnu/libnuma.so;opencv_core;opencv_highgui;opencv_imgproc;/usr/lib/openmpi/lib/libmpi_cxx.so;/usr/lib/openmpi/lib/libmpi.so;gloo;onnxifi_loader;gcc_s;gcc;dl<br>
-- Configuring done<br>
-- Generating done<br>
-- Build files have been written to: /home/chandu/workspace/tracking/pytorch/build</p>
<ol start="7" dir="auto">
<li>sudo make install</li>
</ol>
<p dir="auto">The output of the above command is:</p>
<p dir="auto">chandu@hello:~/workspace/tracking/pytorch/build$ sudo make install<br>
Scanning dependencies of target libprotobuf<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/arena.cc.o<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/arenastring.cc.o<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/extension_set.cc.o<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/generated_message_table_driven_lite.cc.o<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/generated_message_util.cc.o<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/io/coded_stream.cc.o<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/io/zero_copy_stream.cc.o<br>
[  0%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/io/zero_copy_stream_impl_lite.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/message_lite.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/repeated_field.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/stubs/atomicops_internals_x86_gcc.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/stubs/atomicops_internals_x86_msvc.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/stubs/bytestream.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/stubs/common.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/stubs/int128.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/stubs/io_win32.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/stubs/once.cc.o<br>
[  1%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/stubs/status.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/stubs/statusor.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/stubs/stringpiece.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/stubs/stringprintf.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/stubs/structurally_valid.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/stubs/strutil.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/stubs/time.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/<strong>/src/google/protobuf/wire_format_lite.cc.o<br>
[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/any.cc.o<br>
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[  2%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/api.pb.cc.o<br>
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[  3%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/duration.pb.cc.o<br>
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[  4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/io/printer.cc.o<br>
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[  4%] Building CXX object third_party/protobuf/cmake/CMakeFiles/libprotobuf.dir/</strong>/src/google/protobuf/map_field.cc.o<br>
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In file included from /home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op.cc:2:0:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘caffe2::EArrXXt caffe2::utils::bbox_transform_rotated(const Eigen::ArrayBase&amp;, const Eigen::ArrayBase&amp;, const std::vector&amp;, float, bool, int, int)’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:110:26: warning: typedef ‘using EArrX = caffe2::EArrXt’ locally defined but not used [-Wunused-local-typedefs]<br>
using EArrX = EArrXt;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘std::vector caffe2::utils::filter_boxes_rotated(const Eigen::ArrayBase&amp;, double, const Array3f&amp;)’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:271:26: warning: typedef ‘using EArrX = caffe2::EArrXt’ locally defined but not used [-Wunused-local-typedefs]<br>
using EArrX = EArrXt;<br>
^<br>
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In file included from /home/chandu/workspace/tracking/pytorch/caffe2/operators/bbox_transform_op.cc:2:0:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘caffe2::EArrXXt caffe2::utils::bbox_transform_rotated(const Eigen::ArrayBase&amp;, const Eigen::ArrayBase&amp;, const std::vector&amp;, float, bool, int, int)’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:110:26: warning: typedef ‘using EArrX = caffe2::EArrXt’ locally defined but not used [-Wunused-local-typedefs]<br>
using EArrX = EArrXt;<br>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘std::vector caffe2::utils::filter_boxes_rotated(const Eigen::ArrayBase&amp;, double, const Array3f&amp;)’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:271:26: warning: typedef ‘using EArrX = caffe2::EArrXt’ locally defined but not used [-Wunused-local-typedefs]<br>
using EArrX = EArrXt;<br>
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/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(45): warning: function "caffe2::math::::AddFunctor::operator() [with T=double]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(45): warning: function "caffe2::math::::AddFunctor::operator() [with T=float]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(45): warning: function "caffe2::math::::AddFunctor::operator() [with T=int64_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(45): warning: function "caffe2::math::::AddFunctor::operator() [with T=int32_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(45): warning: function "caffe2::math::::AddFunctorcaffe2::float16::operator()" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::::SubFunctor::operator() [with T=double]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::::SubFunctor::operator() [with T=float]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::::SubFunctor::operator() [with T=int64_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::::SubFunctor::operator() [with T=int32_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::::SubFunctorcaffe2::float16::operator()" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::::MulFunctor::operator() [with T=double]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::::MulFunctor::operator() [with T=float]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::::MulFunctor::operator() [with T=int64_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::::MulFunctor::operator() [with T=int32_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::::MulFunctorcaffe2::float16::operator()" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::::DivFunctor::operator() [with T=double]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::::DivFunctor::operator() [with T=float]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::::DivFunctor::operator() [with T=int64_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::::DivFunctor::operator() [with T=int32_t]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::::DivFunctorcaffe2::float16::operator()" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(1659): warning: function "caffe2::math::::FloatTransform::operator() [with T=caffe2::float16]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/utils/math_gpu.cu(1692): warning: function "caffe2::math::::SqrTransform::operator() [with T=float]" was declared but never referenced</p>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/layer_norm_op.cu(13): warning: function "caffe2::::SqrTransform::operator() [with T=float]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/operators/layer_norm_op.cu: In function ‘void caffe2::_GLOBAL__N__48_tmpxft_000021b1_00000000_6_layer_norm_op_cpp1_ii_e8654d12::allocScratchAndReduce(InputIterator_t, float*, int, int*, caffe2::Tensorcaffe2::CUDAContext<em>, cudaStream_t) [with InputIterator_t = const float</em>; cudaStream_t = CUstream_st*]’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/layer_norm_op.cu:50:8: warning: ‘temp_storage_bytes’ may be used uninitialized in this function [-Wmaybe-uninitialized]<br>
size_t temp_storage_bytes;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/layer_norm_op.cu: In function ‘void caffe2::_GLOBAL__N__48_tmpxft_000021b1_00000000_6_layer_norm_op_cpp1_ii_e8654d12::allocScratchAndReduce(InputIterator_t, float*, int, int*, caffe2::Tensorcaffe2::CUDAContext<em>, cudaStream_t) [with InputIterator_t = cub::TransformInputIterator&lt;float, caffe2::_GLOBAL__N__48_tmpxft_000021b1_00000000_6_layer_norm_op_cpp1_ii_e8654d12::SqrTransform, const float</em>&gt;; cudaStream_t = CUstream_st*]’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/layer_norm_op.cu:50:8: warning: ‘temp_storage_bytes’ may be used uninitialized in this function [-Wmaybe-uninitialized]<br>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/mem_query_op.cu(9): warning: function "caffe2::::GetGPUMemoryUsageOp::GetGPUMemoryUsageOp(const caffe2::OperatorDef &amp;, caffe2::Workspace *)" was declared but never referenced</p>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/lp_pool_op.cu(24): warning: function "caffe2::::cuda_pow(T, T) [with T=double]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/operators/lp_pool_op.cu(33): warning: function "caffe2::::cuda_abs(T) [with T=double]" was declared but never referenced</p>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/ensure_cpu_output_op.h(28): warning: statement is unreachable<br>
detected during:<br>
implicit generation of "caffe2::EnsureCPUOutputOp::~EnsureCPUOutputOp() [with Context=caffe2::CUDAContext]"<br>
(15): here<br>
instantiation of class "caffe2::EnsureCPUOutputOp [with Context=caffe2::CUDAContext]"<br>
(15): here<br>
instantiation of "caffe2::EnsureCPUOutputOp::EnsureCPUOutputOp(const caffe2::OperatorDef &amp;, caffe2::Workspace *) [with Context=caffe2::CUDAContext]"<br>
/home/chandu/workspace/tracking/pytorch/caffe2/core/registry.h(131): here<br>
instantiation of "ObjectPtrType caffe2::Registerer&lt;SrcType, ObjectPtrType, Args...&gt;::DefaultCreator(Args...) [with SrcType=std::string, ObjectPtrType=std::unique_ptr&lt;caffe2::OperatorBase, std::default_deletecaffe2::OperatorBase&gt;, Args=&lt;const caffe2::OperatorDef &amp;, caffe2::Workspace *&gt;, DerivedType=caffe2::EnsureCPUOutputOpcaffe2::CUDAContext]"<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/ensure_cpu_output_op.cu(8): here</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/operators/ensure_cpu_output_op.h(28): warning: statement is unreachable</p>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/summarize_op.cu(37): warning: function "caffe2::::summary_stats_unary_op::operator() [with T=float]" was declared but never referenced</p>
<p dir="auto">/home/chandu/workspace/tracking/pytorch/caffe2/operators/summarize_op.cu(57): warning: function "caffe2::::summary_stats_binary_op::operator() [with T=float]" was declared but never referenced</p>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvOp::DoRunWithType() [with T_X = float; T_W = float; T_B = float; T_Y = float]’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:839:16:   required from here<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:527:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
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/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:527:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvOp::DoRunWithType() [with T_X = caffe2::__f16; T_W = caffe2::__f16; T_B = caffe2::__f16; T_Y = caffe2::__f16]’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:845:18:   required from here<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:527:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:527:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvGradientOp::DoRunWithType() [with T_X = float; T_DY = float; T_W = float; T_B = float; T_DX = float; T_DW = float; T_DB = float]’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:1355:16:   required from here<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:873:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:873:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvGradientOp::DoRunWithType() [with T_X = caffe2::__f16; T_DY = caffe2::__f16; T_W = caffe2::__f16; T_B = caffe2::__f16; T_DX = caffe2::__f16; T_DW = caffe2::__f16; T_DB = caffe2::__f16]’:<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:1364:18:   required from here<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:873:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
^<br>
/home/chandu/workspace/tracking/pytorch/caffe2/operators/conv_op_cudnn.cc:873:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]<br>
int group_offset_X = 0, group_offset_Y = 0;<br>
^<br>
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/usr/bin/ld: warning: libcudart.so.8.0, needed by //usr/local/lib/libnccl.so.1, not found (try using -rpath or -rpath-link)<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaGetDevice' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaSetupArgument'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaIpcCloseMemHandle' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaFreeHost'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaEventCreateWithFlags' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaMemcpyAsync'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaStreamWaitEvent' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaMallocHost'<br>
/home/chandu/workspace/tracking/pytorch/build/lib/libcaffe2_gpu.so: undefined reference to <code class="notranslate">google::base::CheckOpMessageBuilder::NewString()' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaDeviceCanAccessPeer'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaSetDevice' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaHostUnregister'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaGetErrorString' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaHostRegister'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">__cudaRegisterFunction' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaFree'<br>
../lib/libcaffe2.so: undefined reference to <code class="notranslate">google::SetUsageMessage(std::string const&amp;)' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaEventDestroy'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaIpcGetMemHandle' //usr/local/lib/libnccl.so.1: undefined reference to </code>__cudaUnregisterFatBinary'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">__cudaRegisterFatBinary' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaGetLastError'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaMalloc' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaMemcpy'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">__cudaRegisterVar' ../lib/libcaffe2.so: undefined reference to </code>leveldb::DB::Open(leveldb::Options const&amp;, std::string const&amp;, leveldb::DB**)'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaPointerGetAttributes' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaMemset'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaIpcOpenMemHandle' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaDeviceEnablePeerAccess'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaLaunch' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaLaunchKernel'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaDeviceGetPCIBusId' ../lib/libcaffe2.so: undefined reference to </code>leveldb::Status::ToString() const'<br>
//usr/local/lib/libnccl.so.1: undefined reference to <code class="notranslate">cudaHostGetDevicePointer' //usr/local/lib/libnccl.so.1: undefined reference to </code>cudaEventRecord'<br>
collect2: error: ld returned 1 exit status<br>
binaries/CMakeFiles/tutorial_blob.dir/build.make:106: recipe for target 'bin/tutorial_blob' failed<br>
make[2]: *** [bin/tutorial_blob] Error 1<br>
CMakeFiles/Makefile2:2796: recipe for target 'binaries/CMakeFiles/tutorial_blob.dir/all' failed<br>
make[1]: *** [binaries/CMakeFiles/tutorial_blob.dir/all] Error 2<br>
Makefile:138: recipe for target 'all' failed<br>
make: *** [all] Error 2</p>
<p dir="auto">All comands you used to set up your Python environment:<br>
virtualenv tracking<br>
source tracking/bin/activate</p>
<p dir="auto">which python:<br>
/usr/bin/python</p>
<p dir="auto">which pip<br>
/usr/local/bin/pip</p>
<p dir="auto">I am using virtuvalenv<br>
version:15.0.1</p>
<p dir="auto">output of nvidia-smi</p>
<p dir="auto">Sat Jul 14 12:20:13 2018<br>
+-----------------------------------------------------------------------------+<br>
| NVIDIA-SMI 396.37                 Driver Version: 396.37                    |<br>
|-------------------------------+----------------------+----------------------+<br>
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |<br>
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |<br>
|===============================+======================+======================|<br>
|   0  TITAN Xp            Off  | 00000000:02:00.0 Off |                  N/A |<br>
| 27%   49C    P2    63W / 250W |  11363MiB / 12194MiB |      0%      Default |<br>
+-------------------------------+----------------------+----------------------+<br>
|   1  TITAN Xp            Off  | 00000000:03:00.0 Off |                  N/A |<br>
| 23%   36C    P8    18W / 250W |     10MiB / 12196MiB |      0%      Default |<br>
+-------------------------------+----------------------+----------------------+<br>
|   2  TITAN Xp            Off  | 00000000:81:00.0 Off |                  N/A |<br>
| 23%   31C    P8    18W / 250W |  11741MiB / 12196MiB |      0%      Default |<br>
+-------------------------------+----------------------+----------------------+<br>
|   3  TITAN Xp            Off  | 00000000:82:00.0 Off |                  N/A |<br>
| 23%   20C    P8     8W / 250W |     10MiB / 12196MiB |      0%      Default |<br>
+-------------------------------+----------------------+----------------------+</p>
<p dir="auto">+-----------------------------------------------------------------------------+<br>
| Processes:                                                       GPU Memory |<br>
|  GPU       PID   Type   Process name                             Usage      |<br>
|=============================================================================|<br>
|    0      4234      C   python                                     11353MiB |<br>
|    2      4767      C   python                                     11731MiB |<br>
+-----------------------------------------------------------------------------+</p>
<p dir="auto">nvcc version:</p>
<p dir="auto">nvcc: NVIDIA (R) Cuda compiler driver<br>
Copyright (c) 2005-2015 NVIDIA Corporation<br>
Built on Tue_Aug_11_14:27:32_CDT_2015<br>
Cuda compilation tools, release 7.5, V7.5.17</p>
<p dir="auto">output of : ls -lah /usr/local/cuda<br>
lrwxrwxrwx 1 root root 20 Jul 13 12:21 /usr/local/cuda -&gt; /usr/local/cuda-9.0/</p>
<p dir="auto">I am using cuda 9.0.</p>
<p dir="auto"><strong>I am having this issue don't know how to solve this.</strong></p>
<p dir="auto">please help me sovling this.<br>
Thank you.</p>
<p dir="auto">I'm working on a model that requires computing what's currently implemented in <code class="notranslate">torch.bmm</code>, with the difference that the first argument is a batch of sparse matrices rather than dense matrices. Since <code class="notranslate">torch.bmm</code> has nice autodiff and gpu support, it's the closest operation I found in pytorch that fits my current needs and I'm converting my sparse tensors to dense tensors to use it, but it's not optimal and it'd be very useful to have a sparse x dense bmm.</p>
<p dir="auto">cc <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/ezyang/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/ezyang">@ezyang</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/gchanan/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/gchanan">@gchanan</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/zou3519/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/zou3519">@zou3519</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/jerryzh168/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/jerryzh168">@jerryzh168</a> <a class="user-mention notranslate" data-hovercard-type="user" data-hovercard-url="/users/vincentqb/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/vincentqb">@vincentqb</a></p>