Tensorflow r1.12: TypeError: Type already registered for SparseTensorValue when running a 2nd script












0















I have just built Tensorflow r1.12 from source in Ubuntu 16.04. The installation is successful.



When I run a certain script in Spyder at the 1st time, everything flows smoothly.
However, when I continue to run another script, following errors occur (which didn't happen previously):




File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/init.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/init.py", line 70, in
from tensorflow.python.framework.framework_lib import * # pylint: disable=redefined-builtin



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/framework_lib.py", line 30, in
from tensorflow.python.framework.sparse_tensor import SparseTensor



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/sparse_tensor.py", line 248, in
pywrap_tensorflow.RegisterType("SparseTensorValue", SparseTensorValue)



TypeError: Type already registered for SparseTensorValue




The temporary solution to avoid such TypeError is to restart the kernel.



But I don't want to restart kernel at every single step of running a script.
Thus, I would like to ask for a critical solution for such kind of issue. Thank you in advance.










share|improve this question

























  • Does resetting your namespace by running %reset -f help?

    – Carlos Cordoba
    Nov 27 '18 at 2:51











  • @CarlosCordoba Unfortunately, the issue still exists in spyder. (Fyi, jupyter notebook worked well without needing of kernel restart).

    – Hao Hua
    Nov 27 '18 at 3:11


















0















I have just built Tensorflow r1.12 from source in Ubuntu 16.04. The installation is successful.



When I run a certain script in Spyder at the 1st time, everything flows smoothly.
However, when I continue to run another script, following errors occur (which didn't happen previously):




File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/init.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/init.py", line 70, in
from tensorflow.python.framework.framework_lib import * # pylint: disable=redefined-builtin



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/framework_lib.py", line 30, in
from tensorflow.python.framework.sparse_tensor import SparseTensor



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/sparse_tensor.py", line 248, in
pywrap_tensorflow.RegisterType("SparseTensorValue", SparseTensorValue)



TypeError: Type already registered for SparseTensorValue




The temporary solution to avoid such TypeError is to restart the kernel.



But I don't want to restart kernel at every single step of running a script.
Thus, I would like to ask for a critical solution for such kind of issue. Thank you in advance.










share|improve this question

























  • Does resetting your namespace by running %reset -f help?

    – Carlos Cordoba
    Nov 27 '18 at 2:51











  • @CarlosCordoba Unfortunately, the issue still exists in spyder. (Fyi, jupyter notebook worked well without needing of kernel restart).

    – Hao Hua
    Nov 27 '18 at 3:11
















0












0








0








I have just built Tensorflow r1.12 from source in Ubuntu 16.04. The installation is successful.



When I run a certain script in Spyder at the 1st time, everything flows smoothly.
However, when I continue to run another script, following errors occur (which didn't happen previously):




File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/init.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/init.py", line 70, in
from tensorflow.python.framework.framework_lib import * # pylint: disable=redefined-builtin



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/framework_lib.py", line 30, in
from tensorflow.python.framework.sparse_tensor import SparseTensor



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/sparse_tensor.py", line 248, in
pywrap_tensorflow.RegisterType("SparseTensorValue", SparseTensorValue)



TypeError: Type already registered for SparseTensorValue




The temporary solution to avoid such TypeError is to restart the kernel.



But I don't want to restart kernel at every single step of running a script.
Thus, I would like to ask for a critical solution for such kind of issue. Thank you in advance.










share|improve this question
















I have just built Tensorflow r1.12 from source in Ubuntu 16.04. The installation is successful.



When I run a certain script in Spyder at the 1st time, everything flows smoothly.
However, when I continue to run another script, following errors occur (which didn't happen previously):




File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/init.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/init.py", line 70, in
from tensorflow.python.framework.framework_lib import * # pylint: disable=redefined-builtin



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/framework_lib.py", line 30, in
from tensorflow.python.framework.sparse_tensor import SparseTensor



File "/home/haohua/tf_env/lib/python3.6/site-packages/tensorflow/python/framework/sparse_tensor.py", line 248, in
pywrap_tensorflow.RegisterType("SparseTensorValue", SparseTensorValue)



TypeError: Type already registered for SparseTensorValue




The temporary solution to avoid such TypeError is to restart the kernel.



But I don't want to restart kernel at every single step of running a script.
Thus, I would like to ask for a critical solution for such kind of issue. Thank you in advance.







python-3.x tensorflow spyder






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edited Nov 27 '18 at 0:58







Hao Hua

















asked Nov 26 '18 at 8:15









Hao HuaHao Hua

464




464













  • Does resetting your namespace by running %reset -f help?

    – Carlos Cordoba
    Nov 27 '18 at 2:51











  • @CarlosCordoba Unfortunately, the issue still exists in spyder. (Fyi, jupyter notebook worked well without needing of kernel restart).

    – Hao Hua
    Nov 27 '18 at 3:11





















  • Does resetting your namespace by running %reset -f help?

    – Carlos Cordoba
    Nov 27 '18 at 2:51











  • @CarlosCordoba Unfortunately, the issue still exists in spyder. (Fyi, jupyter notebook worked well without needing of kernel restart).

    – Hao Hua
    Nov 27 '18 at 3:11



















Does resetting your namespace by running %reset -f help?

– Carlos Cordoba
Nov 27 '18 at 2:51





Does resetting your namespace by running %reset -f help?

– Carlos Cordoba
Nov 27 '18 at 2:51













@CarlosCordoba Unfortunately, the issue still exists in spyder. (Fyi, jupyter notebook worked well without needing of kernel restart).

– Hao Hua
Nov 27 '18 at 3:11







@CarlosCordoba Unfortunately, the issue still exists in spyder. (Fyi, jupyter notebook worked well without needing of kernel restart).

– Hao Hua
Nov 27 '18 at 3:11














1 Answer
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Get rid of the import statement:






import tensorflow as tf





Seems to work after that... it's kinda janky






share|improve this answer























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    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    Get rid of the import statement:






    import tensorflow as tf





    Seems to work after that... it's kinda janky






    share|improve this answer




























      0














      Get rid of the import statement:






      import tensorflow as tf





      Seems to work after that... it's kinda janky






      share|improve this answer


























        0












        0








        0







        Get rid of the import statement:






        import tensorflow as tf





        Seems to work after that... it's kinda janky






        share|improve this answer













        Get rid of the import statement:






        import tensorflow as tf





        Seems to work after that... it's kinda janky






        import tensorflow as tf





        import tensorflow as tf






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Jan 10 at 3:44









        jmoon0714jmoon0714

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