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Answered
Hey All, I'M Having A Problem Integrating Clearml In My Training. ---------------------------------------------------------------------------------------------- First, I'M Getting A Warning: Clearml Monitor: Could Not Detect Iteration Reporting, Falling B

Hey all, I'm having a problem integrating ClearML in my training.

first, I'm getting a warning:
ClearML Monitor: Could not detect iteration reporting, falling back to iterations as seconds-from-start

each iteration is created from a tfrecord, there are no epochs:
dataset_train = get_dataset(self._config, dataset_type='train') dataset_train_iter = iter(dataset_train) step_data = next(dataset_train_iter)-----------------------------------------------------------------------------------------------
Also, ClearML is not detecting the scalars, which are being logged as follows:

tf.summary.image('output', output_image, step=self._optimizer.iterations.numpy())or
for key, value in metrics.items(): tf.summary.scalar(key, value, step=self._optimizer.iterations.numpy())
Thanks in advance!
Shlomo

  
  
Posted 3 years ago
Votes Newest

Answers 4


We're looking into this currently 🙂

  
  
Posted 3 years ago

can you try with the latest? pip install clearml==1.1.4 ?

  
  
Posted 3 years ago

clearml 1.1.3
clearml-agent 1.1.1
tensorboard 2.6.0
tensorflow 2.6.0

  
  
Posted 3 years ago

Hi MotionlessMonkey27 ,

first, I’m getting a warning:
ClearML Monitor: Could not detect iteration reporting, falling back to iterations as seconds-from-start

This simply indicated your task did not start reporting metrics to the server yet. Once reporting started, it will go back to iterations-based.

Also, ClearML is not detecting the scalars, which are being logged as follows:

tf.summary.image(‘output’, output_image, step=self._optimizer.iterations.numpy())
or
for key, value in metrics.items():
tf.summary.scalar(key, value, step=self._optimizer.iterations.numpy())

which version do you use? clearml and TF, TB

  
  
Posted 3 years ago