Running cloud TPU profiler in Google Colab environment












1















I am running a Google Colab notebook and am trying to capture TPU profiling data for use in TensorBoard, however I can't get capture_tpu_profile to run in the background while running my TensorFlow code.



So far I tried to run the capture process in the background with:



!capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR &


and 



!bg capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR





python tensorflow google-colaboratory google-cloud-tpu







share|improve this question





























    1















    I am running a Google Colab notebook and am trying to capture TPU profiling data for use in TensorBoard, however I can't get capture_tpu_profile to run in the background while running my TensorFlow code.



    So far I tried to run the capture process in the background with:



    !capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR &


    and 



    !bg capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR





    python tensorflow google-colaboratory google-cloud-tpu







    share|improve this question



























      1












      1








      1








      I am running a Google Colab notebook and am trying to capture TPU profiling data for use in TensorBoard, however I can't get capture_tpu_profile to run in the background while running my TensorFlow code.



      So far I tried to run the capture process in the background with:



      !capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR &


      and 



      !bg capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR





      python tensorflow google-colaboratory google-cloud-tpu







      share|improve this question
















      I am running a Google Colab notebook and am trying to capture TPU profiling data for use in TensorBoard, however I can't get capture_tpu_profile to run in the background while running my TensorFlow code.



      So far I tried to run the capture process in the background with:



      !capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR &


      and 



      !bg capture_tpu_profile --logdir=gs://<my_logdir> --tpu=$COLAB_TPU_ADDR





      python tensorflow google-colaboratory google-cloud-tpu




      python tensorflow google-colaboratory google-cloud-tpu






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 20 '18 at 0:35









      Bob Smith

      6,58212129




      6,58212129










      asked Nov 11 '18 at 22:54









      JannJann

      1,20421629




      1,20421629
























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          Turns out a way to do this is to start the process from python directly like this (I also had to modify the parameter from --tpu to --service_addr):



          import subprocess
          
subprocess.Popen(["capture_tpu_profile","--logdir=gs://<my_logdir>", "--service_addr={}".format(os.environ['COLAB_TPU_ADDR'])])


          the check=True makes the command raise an Exception if it fails.






          share|improve this answer

























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            1 Answer
            1






            active

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            active

            oldest

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            active

            oldest

            votes









            4














            Turns out a way to do this is to start the process from python directly like this (I also had to modify the parameter from --tpu to --service_addr):



            import subprocess
            
subprocess.Popen(["capture_tpu_profile","--logdir=gs://<my_logdir>", "--service_addr={}".format(os.environ['COLAB_TPU_ADDR'])])


            the check=True makes the command raise an Exception if it fails.






            share|improve this answer






























              4














              Turns out a way to do this is to start the process from python directly like this (I also had to modify the parameter from --tpu to --service_addr):



              import subprocess
              
subprocess.Popen(["capture_tpu_profile","--logdir=gs://<my_logdir>", "--service_addr={}".format(os.environ['COLAB_TPU_ADDR'])])


              the check=True makes the command raise an Exception if it fails.






              share|improve this answer




























                4












                4








                4







                Turns out a way to do this is to start the process from python directly like this (I also had to modify the parameter from --tpu to --service_addr):



                import subprocess
                
subprocess.Popen(["capture_tpu_profile","--logdir=gs://<my_logdir>", "--service_addr={}".format(os.environ['COLAB_TPU_ADDR'])])


                the check=True makes the command raise an Exception if it fails.






                share|improve this answer















                Turns out a way to do this is to start the process from python directly like this (I also had to modify the parameter from --tpu to --service_addr):



                import subprocess
                
subprocess.Popen(["capture_tpu_profile","--logdir=gs://<my_logdir>", "--service_addr={}".format(os.environ['COLAB_TPU_ADDR'])])


                the check=True makes the command raise an Exception if it fails.







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited Nov 11 '18 at 23:09

























                answered Nov 11 '18 at 22:54









                JannJann

                1,20421629




                1,20421629






























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