Running cloud TPU profiler in Google Colab environment
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
edited Nov 20 at 0:35
Bob Smith
6,1972027
asked Nov 11 at 22:54
Jann
1,19421529
add a comment |
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
edited Nov 20 at 0:35
Bob Smith
6,1972027
asked Nov 11 at 22:54
Jann
1,19421529
add a comment |
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
edited Nov 20 at 0:35
Bob Smith
6,1972027
asked Nov 11 at 22:54
Jann
1,19421529
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
edited Nov 20 at 0:35
Bob Smith
6,1972027
asked Nov 11 at 22:54
Jann
1,19421529
edited Nov 20 at 0:35
Bob Smith
6,1972027
asked Nov 11 at 22:54
Jann
1,19421529
edited Nov 20 at 0:35
Bob Smith
6,1972027
edited Nov 20 at 0:35
Bob Smith
6,1972027
edited Nov 20 at 0:35
Bob Smith
6,1972027
6,1972027
asked Nov 11 at 22:54
Jann
1,19421529
asked Nov 11 at 22:54
Jann
1,19421529
asked Nov 11 at 22:54
Jann
1,19421529
1,19421529
add a comment |
add a comment |
1 Answer
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active
oldest
votes
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.
answered Nov 11 at 22:54
Jann
1,19421529
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
answered Nov 11 at 22:54
Jann
1,19421529
add a comment |
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.
answered Nov 11 at 22:54
Jann
1,19421529
add a comment |
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.
answered Nov 11 at 22:54
Jann
1,19421529
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.
answered Nov 11 at 22:54
Jann
1,19421529
edited Nov 11 at 23:09
answered Nov 11 at 22:54
Jann
1,19421529
answered Nov 11 at 22:54
Jann
1,19421529
answered Nov 11 at 22:54
Jann
1,19421529
1,19421529
add a comment |
add a comment |
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