AttributeError: module 'tensorflow' has no attribute 'absolute_import'

[hnczwj2008]

first error is : " AttributeError: module 'tensorflow' has no attribute 'absolute_import' ", when I changeed the "/home/jax/anaconda3/lib/python3.6/site-packages/sugartensor/__init__.py" file :"from tensorflow import * " ==>" from tensorflow.python import * ", done!
then the bug is :

---

Training started with random seed: 111
Batch started with random seed: 111
*** Error in `python': free(): invalid pointer: 0x00005628fcf97488 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7fdbe57ce7e5]
/lib/x86_64-linux-gnu/libc.so.6(+0x8037a)[0x7fdbe57d737a]
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7fdbe57db53c]
/home/jax/anaconda3/lib/python3.6/site-packages/google/protobuf/pyext/../../../../../libprotobuf.so.19(_ZN6google8protobuf14DynamicMessageD2Ev+0x489)[0x7fdb3d1bb599]
/home/jax/anaconda3/lib/python3.6/site-packages/google/protobuf/pyext/../../../../../libprotobuf.so.19(_ZN6google8protobuf14DynamicMessageD0Ev+0xa)[0x7fdb3d1bb61a]
/home/jax/anaconda3/lib/python3.6/site-packages/google/protobuf/pyext/../../../../../libprotobuf.so.19(_ZN6google8protobuf14DynamicMessageD2Ev+0x1dd)[0x7fdb3d1bb2ed]
/home/jax/anaconda3/lib/python3.6/site-packages/google/protobuf/pyext/../../../../../libprotobuf.so.19(_ZN6google8protobuf14DynamicMessageD0Ev+0xa)[0x7fdb3d1bb61a]
/home/jax/anaconda3/lib/python3.6/site-packages/google/protobuf/pyext/_message.cpython-36m-x86_64-linux-gnu.so(+0x29f07)[0x7fdb3d324f07]
python(+0x19ae68)[0x5628f785fe68]
python(+0xf1b77)[0x5628f77b6b77]
python(+0x192e8b)[0x5628f7857e8b]
python(+0x193ed6)[0x5628f7858ed6]
python(+0x199b95)[0x5628f785eb95]
python(_PyEval_EvalFrameDefault+0x10cc)[0x5628f788251c]
python(+0x192e66)[0x5628f7857e66]
python(+0x193ed6)[0x5628f7858ed6]
。。。。。。。。。。。。。。。。。。。。。
/home/jax/anaconda3/lib/python3.6/site-packages/pandas/_libs/interval.cpython-36m-x86_64-linux-gnu.so
7fdb90350000-7fdb9035f000 rw-p 00233000 08:08 5902003 /home/jax/anaconda3/lib/python3.6/site-packages/pandas/_libs/interval.cpython-36m-x86_64-linu已放弃 (核心已转储)

my environment is :
name: tensorflow
channels:

• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
• https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
• defaults
  dependencies:
• _libgcc_mutex=0.1=main
• _pytorch_select=0.1=cpu_0
• _tflow_select=2.1.0=gpu
• absl-py=0.8.0=py36_0
• astor=0.7.1=py_0
• blas=1.0=mkl
• bzip2=1.0.8=h516909a_0
• c-ares=1.15.0=h516909a_1001
• ca-certificates=2019.6.16=hecc5488_0
• cairo=1.16.0=hfb77d84_1002
• certifi=2019.6.16=py36_1
• cffi=1.12.3=py36h8022711_0
• cudatoolkit=10.1.168=0
• cudnn=7.6.0=cuda10.1_0
• cupti=10.1.168=0
• cycler=0.10.0=py_1
• dbus=1.13.6=he372182_0
• expat=2.2.5=he1b5a44_1003
• ffmpeg=4.1.3=h167e202_0
• fontconfig=2.13.1=h86ecdb6_1001
• freetype=2.10.0=he983fc9_1
• gast=0.2.2=py_0
• gettext=0.19.8.1=hc5be6a0_1002
• giflib=5.1.9=h516909a_0
• glib=2.58.3=h6f030ca_1002
• gmp=6.1.2=hf484d3e_1000
• gnutls=3.6.5=hd3a4fd2_1002
• google-pasta=0.1.7=py_0
• graphite2=1.3.13=hf484d3e_1000
• grpcio=1.22.0=py36he9ae1f9_0
• gst-plugins-base=1.14.5=h0935bb2_0
• gstreamer=1.14.5=h36ae1b5_0
• h5py=2.9.0=nompi_py36h513d04c_1104
• harfbuzz=2.4.0=h9f30f68_3
• hdf5=1.10.5=nompi_h3c11f04_1103
• icu=64.2=he1b5a44_1
• intel-openmp=2019.4=243
• jasper=1.900.1=h07fcdf6_1006
• jpeg=9c=h14c3975_1001
• keras-applications=1.0.8=py_1
• keras-preprocessing=1.1.0=py_0
• kiwisolver=1.1.0=py36hc9558a2_0
• lame=3.100=h14c3975_1001
• libblas=3.8.0=12_mkl
• libcblas=3.8.0=12_mkl
• libedit=3.1.20181209=hc058e9b_0
• libffi=3.2.1=he1b5a44_1006
• libgcc-ng=9.1.0=hdf63c60_0
• libgfortran-ng=7.3.0=hdf63c60_0
• libiconv=1.15=h516909a_1005
• liblapack=3.8.0=12_mkl
• liblapacke=3.8.0=12_mkl
• libopenblas=0.3.7=h6e990d7_1
• libpng=1.6.37=hed695b0_0
• libprotobuf=3.9.1=h8b12597_0
• libstdcxx-ng=9.1.0=hdf63c60_0
• libtiff=4.0.10=h57b8799_1003
• libuuid=2.32.1=h14c3975_1000
• libwebp=1.0.2=h576950b_1
• libxcb=1.13=h14c3975_1002
• libxml2=2.9.9=hee79883_5
• lz4-c=1.8.3=he1b5a44_1001
• markdown=3.1.1=py_0
• matplotlib=3.1.1=py36_1
• matplotlib-base=3.1.1=py36he7580a8_1
• mkl=2019.4=243
• mkl-service=2.3.0=py36h516909a_0
• ncurses=6.1=hf484d3e_1002
• nettle=3.4.1=h1bed415_1002
• ninja=1.9.0=h6bb024c_0
• numpy=1.17.1=py36h95a1406_0
• opencv=4.1.1=py36ha799480_1
• openh264=1.8.0=hdbcaa40_1000
• openssl=1.1.1c=h516909a_0
• pcre=8.41=hf484d3e_1003
• pip=19.2.3=py36_0
• pixman=0.38.0=h516909a_1003
• protobuf=3.9.1=py36he1b5a44_0
• pthread-stubs=0.4=h14c3975_1001
• pycparser=2.19=py36_1
• pyparsing=2.4.2=py_0
• pyqt=5.9.2=py36hcca6a23_2
• python=3.6.9=h265db76_0
• python-dateutil=2.8.0=py_0
• pytorch=1.2.0=cpu_py36h00be3c6_0
• qt=5.9.7=h0c104cb_3
• readline=7.0=hf8c457e_1001
• scipy=1.3.1=py36h921218d_2
• setuptools=41.2.0=py36_0
• sip=4.19.8=py36hf484d3e_1000
• six=1.12.0=py36_1000
• sqlite=3.29.0=h7b6447c_0
• tensorboard=1.14.0=py36_0
• tensorflow=1.14.0=gpu_py36h3fb9ad6_0
• tensorflow-base=1.14.0=gpu_py36he45bfe2_0
• tensorflow-estimator=1.14.0=py36h5ca1d4c_0
• tensorflow-gpu=1.14.0=h0d30ee6_0
• termcolor=1.1.0=py_2
• tk=8.6.9=hed695b0_1002
• tornado=6.0.3=py36h516909a_0
• werkzeug=0.15.5=py_0
• wheel=0.33.6=py36_0
• wrapt=1.11.2=py36h516909a_0
• x264=1!152.20180806=h14c3975_0
• xorg-kbproto=1.0.7=h14c3975_1002
• xorg-libice=1.0.10=h516909a_0
• xorg-libsm=1.2.3=h84519dc_1000
• xorg-libx11=1.6.8=h516909a_0
• xorg-libxau=1.0.9=h14c3975_0
• xorg-libxdmcp=1.1.3=h516909a_0
• xorg-libxext=1.3.4=h516909a_0
• xorg-libxrender=0.9.10=h516909a_1002
• xorg-renderproto=0.11.1=h14c3975_1002
• xorg-xextproto=7.3.0=h14c3975_1002
• xorg-xproto=7.0.31=h14c3975_1007
• xz=5.2.4=h14c3975_1001
• zlib=1.2.11=h516909a_1005
• zstd=1.4.0=h3b9ef0a_0
  prefix: /home/jax/anaconda3/envs/tensorflow