Thanks;
My env setup of Intel system is as follows
conda info
  active environment : danchu
    active env location : /home/danchu/anaconda3/envs/danchu
             shell level : 1
        user config file : /home/danchu/.condarc
  populated config files : /home/danchu/.condarc
           conda version : 4.8.3
     conda-build version : 3.18.11
          python version : 3.8.3.final.0
        virtual packages : __cuda=10.1
                           __glibc=2.17
        base environment : /home/danchu/anaconda3  (writable)
            channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
                           https://repo.anaconda.com/pkgs/main/noarch
                           https://repo.anaconda.com/pkgs/r/linux-64
                           https://repo.anaconda.com/pkgs/r/noarch
           package cache : /home/danchu/anaconda3/pkgs
                           /home/danchu/.conda/pkgs
        envs directories : /home/danchu/anaconda3/envs
                           /home/danchu/.conda/envs
                platform : linux-64
              user-agent : conda/4.8.3 requests/2.24.0 CPython/3.8.3 Linux/3.10.0-957.el7.x86_64 centos/7.6.1810 glibc/2.17
                 UID:GID : 1994:1994
              netrc file : None            
            offline mode : False

package version
numpy              1.19.2
torch              1.8.0.dev20201014+cu101
transformers       3.3.1

torch._config_.parallel_info()
1.8.0.dev20201014+cu101
ATen/Parallel:
        at::get_num_threads() : 1
        at::get_num_interop_threads() : 16
OpenMP 201511 (a.k.a. OpenMP 4.5)
        omp_get_max_threads() : 1
Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
        mkl_get_max_threads() : 1
Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)
std::thread::hardware_concurrency() : 32
Environment variables:
        OMP_NUM_THREADS : [not set]
        MKL_NUM_THREADS : [not set]
ATen parallel backend: OpenMP

torch._config_.show()
PyTorch built with:
  - GCC 7.3
  - C++ Version: 201402
  - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications
  - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 10.1
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75
  - CuDNN 7.6.3
  - Magma 2.5.2
  - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -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, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,

HW SPEC
     cpu : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz x 2
mem size : 65673788 kB
     gpu : Geforce GTX 1080ti x4