linux pthreads error when building operators

[liufeng2317]

hello!   when I trying to run the custom operators example , it occurs some errors as follows.

julia> ADCME.cmake()
-- The C compiler identification is GNU 5.4.0
-- The CXX compiler identification is GNU 5.4.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /home/node/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-gcc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /home/node/.julia/adcme/bin/x86_64-conda_cos6-linux-gnu-g++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
JULIA=/home/node/Downloads/julia-1.6.3/bin/julia
Python path=/home/node/.julia/adcme/bin/python
PREFIXDIR=/home/node/.julia/adcme/lib/Libraries
TF_INC=/home/node/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/include
TF_ABI=1
TF_LIB_FILE=/home/node/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/libtensorflow_framework.so.1
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE

I noticed some unusual information in it

-- Looking for pthread_create in pthreads - not found

and I think it's the reason why I ended up with the error as follows

julia> include("gradtest.jl")
2022-03-10 21:59:38.942113: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA
To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.
2022-03-10 21:59:38.962708: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2899885000 Hz
2022-03-10 21:59:38.963263: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x3b8b0f0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-03-10 21:59:38.963284: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
OMP: Info #212: KMP_AFFINITY: decoding x2APIC ids.
OMP: Info #210: KMP_AFFINITY: Affinity capable, using global cpuid leaf 11 info
OMP: Info #154: KMP_AFFINITY: Initial OS proc set respected: 0-15
OMP: Info #156: KMP_AFFINITY: 16 available OS procs
OMP: Info #157: KMP_AFFINITY: Uniform topology
OMP: Info #179: KMP_AFFINITY: 1 packages x 8 cores/pkg x 2 threads/core (8 total cores)
OMP: Info #214: KMP_AFFINITY: OS proc to physical thread map:
OMP: Info #171: KMP_AFFINITY: OS proc 0 maps to package 0 core 0 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 8 maps to package 0 core 0 thread 1 
OMP: Info #171: KMP_AFFINITY: OS proc 1 maps to package 0 core 1 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 9 maps to package 0 core 1 thread 1 
OMP: Info #171: KMP_AFFINITY: OS proc 2 maps to package 0 core 2 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 10 maps to package 0 core 2 thread 1 
OMP: Info #171: KMP_AFFINITY: OS proc 3 maps to package 0 core 3 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 11 maps to package 0 core 3 thread 1 
OMP: Info #171: KMP_AFFINITY: OS proc 4 maps to package 0 core 4 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 12 maps to package 0 core 4 thread 1 
OMP: Info #171: KMP_AFFINITY: OS proc 5 maps to package 0 core 5 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 13 maps to package 0 core 5 thread 1 
OMP: Info #171: KMP_AFFINITY: OS proc 6 maps to package 0 core 6 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 14 maps to package 0 core 6 thread 1 
OMP: Info #171: KMP_AFFINITY: OS proc 7 maps to package 0 core 7 thread 0 
OMP: Info #171: KMP_AFFINITY: OS proc 15 maps to package 0 core 7 thread 1 
OMP: Info #250: KMP_AFFINITY: pid 7771 tid 7771 thread 0 bound to OS proc set 0
2022-03-10 21:59:38.964066: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
2022-03-10 21:59:38.986784: F tensorflow/core/framework/tensor_shape.cc:324] Check failed: size >= 0 (-1 vs. 0)

signal (6): Aborted
in expression starting at /data/liufeng/project/007_inversion/ADCME_test/test_custom/gradtest.jl:19
gsignal at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
abort at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
_ZN10tensorflow8internal15LogMessageFatalD1Ev at /home/node/.julia/adcme/lib/python3.7/site-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so (unknown line)

I searched on google for various solutions but all failed. If you know how to solve this problem, please do not hesitate to advise me!