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Running TensorFlow profiler for longer than 10 second period results into OOM error, crashes the inference process and the profiler returns DEADLINE_EXCEEDED. Is there anyway to limit the sampling rate or way to reduce the amount of information being collected to avoid crashing the process?
Here is the code that I run: tensorflow_profiler.experimental.client("grpc://localhost:3222", "profiles", 30000)
The text was updated successfully, but these errors were encountered:
@rahul-fnu To limit the sampling rate or reduce the amount of information collected by the TensorFlow profiler, you can adjust the sampling_rate parameter in the tensorflow_profiler.experimental.client function.
Use- tensorflow_profiler.experimental.client("grpc://localhost:3222", "profiles", 30000, sampling_rate=0.5, events=["compute"])
Running TensorFlow profiler for longer than 10 second period results into OOM error, crashes the inference process and the profiler returns DEADLINE_EXCEEDED. Is there anyway to limit the sampling rate or way to reduce the amount of information being collected to avoid crashing the process?
Here is the code that I run:
tensorflow_profiler.experimental.client("grpc://localhost:3222", "profiles", 30000)
The text was updated successfully, but these errors were encountered: