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Following the workaround here, I tried profiling via both tensorflow.keras.callbacks.TensorBoard and with tensorflow.python.eager.profiler.Profiler - but the resulting trace only displays /host:CPU (img below); I understand there should also be /job and /gpu sections, which is also evident from the significant gap between model.train_on_batch() iterations.
Any fixes/workarounds?
Note: I'm also getting the following in Anaconda Powershell Prompt:
W0215 15:19:47.154924 14124 core_plugin.py:215] Unable to get first event timestamp for run .:
No event timestamp could be found
Note 2: TF 2.0.0 (stable) captures GPU, but I'm still not seeing /job: (also I still had to use the JSON workaround; TensorBoard PROFILE was empty)
The text was updated successfully, but these errors were encountered:
I have same issue, even after fix the libcupti problem.
My saved_model is exported by tf version 2.0.0, and tensorboard is 2.1.0. Since my profile is captured by tensorflow-serving, the tensorflow-serving version is 2.1.0.
Following the workaround here, I tried profiling via both
tensorflow.keras.callbacks.TensorBoard
andwith tensorflow.python.eager.profiler.Profiler
- but the resulting trace only displays/host:CPU
(img below); I understand there should also be/job
and/gpu
sections, which is also evident from the significant gap betweenmodel.train_on_batch()
iterations.Any fixes/workarounds?
Note: I'm also getting the following in Anaconda Powershell Prompt:
Note 2: TF 2.0.0 (stable) captures GPU, but I'm still not seeing
/job
: (also I still had to use the JSON workaround; TensorBoardPROFILE
was empty)The text was updated successfully, but these errors were encountered: