Hello Torch Team & Torch Enthusiasts,
I am compiling torch with given  scripts/build_local.sh  in Linux 64 bit.
I am succeed compiled torch statically but CUDA not.
So I repeated the steps to see what the options.
I found this:
CUDA Static still OFF but Torch Static On 8
How to set CUDA static link to ON?
This is my CMake Args I made in  build_local.sh  :
CMAKE_ARGS+=("-DCMAKE_PREFIX_PATH=$(python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())')")
CMAKE_ARGS+=("-DPYTHON_EXECUTABLE=$(python -c 'import sys; print(sys.executable)')")
CMAKE_ARGS+=("-DBUILD_CUSTOM_PROTOBUF=OFF")
CMAKE_ARGS+=("-DBUILD_SHARED_LIBS=OFF")

CMAKE_ARGS+=("-DCUDA_TOOLKIT_ROOT_DIR=/opt/cuda-10.1")
CMAKE_ARGS+=("-DCUDA_INCLUDE_DIRS=/opt/cuda-10.1/bin/include")
CMAKE_ARGS+=("-DCUDA_CUDART_LIBRARY=/opt/cuda-10.1/bin/lib64/libcudart_static.a")
CMAKE_ARGS+=("-DUSE_CUDA=ON")
CMAKE_ARGS+=("-DCMAKE_C_COMPILER=/usr/bin/gcc-8")
CMAKE_ARGS+=("-DCMAKE_CXX_COMPILER=/usr/bin/g++-8")

Error when compiling (I assume because cuda also included dynamic libs):
[363/366] Linking CXX shared library lib/libtorch_python.so
FAILED: lib/libtorch_python.so 
: && /usr/bin/g++-8 -fPIC -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -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-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow -DHAVE_AVX_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION -O3 -DNDEBUG -DNDEBUG  -Wl,--no-as-needed -rdynamic -shared -Wl,-soname,libtorch_python.so -o lib/libtorch_python.so 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caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/testing/faulty_process_group_agent.cpp.o caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/testing/init.cpp.o caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/unpickled_python_call.cpp.o caffe2/torch/CMakeFiles/torch_python.dir/csrc/distributed/rpc/unpickled_python_remote_call.cpp.o caffe2/torch/CMakeFiles/torch_python.dir/csrc/jit/runtime/register_distributed_ops.cpp.o caffe2/torch/CMakeFiles/torch_python.dir/csrc/cuda/python_nccl.cpp.o  -Wl,-rpath,/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib:/opt/cuda-10.1/lib:/opt/cuda-10.1/lib64:/usr/lib/openmpi:  lib/libshm.so  /opt/cuda-10.1/lib/libnvToolsExt.so  lib/libc10d.a  lib/libtensorpipe.a  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libtorch.a" -Wl,--no-whole-archive  lib/libtorch.a  lib/libtensorpipe.a  lib/libtensorpipe_uv.a  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libtorch_cpu.a" -Wl,--no-whole-archive  /usr/lib/gcc/x86_64-pc-linux-gnu/8.4.0/libgomp.so  /usr/lib/libpthread.so  /usr/lib/gcc/x86_64-pc-linux-gnu/8.4.0/libgomp.so  /usr/lib/libpthread.so  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libcaffe2_protos.a" -Wl,--no-whole-archive  lib/libqnnpack.a  lib/libpytorch_qnnpack.a  lib/libnnpack.a  lib/libXNNPACK.a  lib/libpthreadpool.a  -lm  lib/libfbgemm.a  lib/libcpuinfo.a  lib/libclog.a  lib/libasmjit.a  lib/libfoxi_loader.a  -lgcc_s  -lgcc  /usr/lib/libblas.so  /usr/lib/liblapack.so  -lm  lib/libdnnl.a  -ldl  sleef/lib/libsleef.a  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libonnx.a" -Wl,--no-whole-archive  lib/libonnx_proto.a  /usr/local/lib/libprotobuf.a  -pthread  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libCaffe2_perfkernels_avx.a" -Wl,--no-whole-archive  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libCaffe2_perfkernels_avx2.a" -Wl,--no-whole-archive  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libCaffe2_perfkernels_avx512.a" -Wl,--no-whole-archive  -Wl,--whole-archive,"/run/media/aviezab/Binary/SourceCode/cpp/pytorch/build/lib/libtorch_cuda.a" -Wl,--no-whole-archive  lib/libc10_cuda.a  lib/libc10.a  /opt/cuda-10.1/lib/libnvToolsExt.so  /opt/cuda-10.1/lib64/libcusparse.so  /opt/cuda-10.1/lib64/libcurand.so  /opt/cuda-10.1/lib64/libcufft.so  /opt/cuda-10.1/lib64/libcurand.so  /opt/cuda-10.1/lib64/libcublas.so  nccl/lib/libnccl_static.a  -lrt  lib/libgloo_cuda.a  lib/libgloo.a  /usr/lib/openmpi/libmpi_cxx.so  /usr/lib/openmpi/libmpi.so  -lpthread  /opt/cuda-10.1/lib64/libcudart.so && :
/usr/bin/ld: lib/libtensorpipe.a(context.cc.o): relocation R_X86_64_PC32 against symbol `_ZGVZ24TensorPipeVerbosityLevelvE5level' can not be used when making a shared object; recompile with -fPIC
/usr/bin/ld: final link failed: bad value
collect2: error: ld returned 1 exit status
[365/366] Building NVCC (Device) object modules/detectron/CMakeFiles/caffe2_detectron_ops_gpu.dir/caffe2_detectron_ops_gpu_generated_upsample_nearest_op.cu.o
ninja: build stopped: subcommand failed.

Am I supposed to pass  nvcc  build options too?
Thank You for your kindness.