Cannot find any scalars of Rasa-dumped tfevents

[jneuendorf-i4h]

Hi,

I have tfevents files in tensorboard/train that stem from training one component of a Rasa chatbot. They can be visualized using tensorboard --logdir tensorboard/train.

However, when trying to plot them on the terminal I receive the following error:

Unhandled exception in FSEventsEmitter
Traceback (most recent call last):
  File "~/Library/Caches/pypoetry/virtualenvs/venv-py3.10/lib/python3.10/site-packages/watchdog/observers/fsevents.py", line 307, in run
    _fsevents.add_watch(self, self.watch, self.events_callback, self.pathnames)
RuntimeError: Cannot add watch <ObservedWatch: path='tensorboard/train/', is_recursive=True> - it is already scheduled
Traceback (most recent call last):
  File "~/Library/Caches/pypoetry/virtualenvs/venv-py3.10/bin/termplot", line 8, in <module>
    sys.exit(run())
  File "~/Library/Caches/pypoetry/virtualenvs/venv-py3.10/lib/python3.10/site-packages/termplot/main.py", line 600, in run
    main(_args)
  File "~/Library/Caches/pypoetry/virtualenvs/venv-py3.10/lib/python3.10/site-packages/termplot/main.py", line 503, in main
    data_source_class(target_input, args)
  File "~/Library/Caches/pypoetry/virtualenvs/venv-py3.10/lib/python3.10/site-packages/termplot/data_source/tensorboard_source.py", line 45, in __init__
    _add_figure(self.input)
  File "~/Library/Caches/pypoetry/virtualenvs/venv-py3.10/lib/python3.10/site-packages/termplot/data_source/tensorboard_source.py", line 32, in _add_figure
    TensorboardFigureData(
  File "~/Library/Caches/pypoetry/virtualenvs/venv-py3.10/lib/python3.10/site-packages/termplot/data_source/tensorboard_source.py", line 73, in __init__
    raise TensorboardDataSourceProcessingException(
termplot.data_source.tensorboard_source.TensorboardDataSourceProcessingException: Cannot find any scalars within the folder 'tensorboard/train'. Is the folder correct? The ea tags are {'images': [], 'audio': [], 'histograms': [], 'scalars': [], 'distributions': [], 'tensors': ['epoch_t_loss', 'epoch_i_loss', 'epoch_e_loss', 'epoch_i_acc', 'epoch_e_f1', 'crf/transitions_0/histogram', 'crf/transitions_0/image', 'embed_logits.entity/embed_layer_logits.entity/kernel_0/histogram', 'embed_logits.entity/embed_layer_logits.entity/kernel_0/image', 'embed_logits.entity/embed_layer_logits.entity/bias_0/histogram', 'embed_logits.entity/embed_layer_logits.entity/bias_0/image', 'embed_label/embed_layer_label/kernel_0/histogram', 'embed_label/embed_layer_label/kernel_0/image', 'embed_label/embed_layer_label/bias_0/histogram', 'embed_label/embed_layer_label/bias_0/image', 'embed_text/embed_layer_text/kernel_0/histogram', 'embed_text/embed_layer_text/kernel_0/image', 'embed_text/embed_layer_text/bias_0/histogram', 'embed_text/embed_layer_text/bias_0/image', 'rasa_feature_combining_layer_label/concatenate_sparse_dense_features_label_sequence/sparse_to_dense.label_sequence/kernel_0/histogram', 'rasa_feature_combining_layer_label/concatenate_sparse_dense_features_label_sequence/sparse_to_dense.label_sequence/kernel_0/image', 'rasa_feature_combining_layer_label/concatenate_sparse_dense_features_label_sequence/sparse_to_dense.label_sequence/bias_0/histogram', 'rasa_feature_combining_layer_label/concatenate_sparse_dense_features_label_sequence/sparse_to_dense.label_sequence/bias_0/image', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sentence/sparse_to_dense.text_sentence/kernel_0/histogram', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sentence/sparse_to_dense.text_sentence/kernel_0/image', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sentence/sparse_to_dense.text_sentence/bias_0/histogram', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sentence/sparse_to_dense.text_sentence/bias_0/image', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sequence/sparse_to_dense.text_sequence/kernel_0/histogram', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sequence/sparse_to_dense.text_sequence/kernel_0/image', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sequence/sparse_to_dense.text_sequence/bias_0/histogram', 'rasa_sequence_layer_text/rasa_feature_combining_layer_text/concatenate_sparse_dense_features_text_sequence/sparse_to_dense.text_sequence/bias_0/image', 'rasa_sequence_layer_text/text_encoder/randomly_connected_dense/kernel_0/histogram', 'rasa_sequence_layer_text/text_encoder/randomly_connected_dense/kernel_0/image', 'rasa_sequence_layer_text/text_encoder/randomly_connected_dense/bias_0/histogram', 'rasa_sequence_layer_text/text_encoder/randomly_connected_dense/bias_0/image', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/layer_normalization/gamma_0/histogram', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/layer_normalization/gamma_0/image', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/layer_normalization/beta_0/histogram', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/layer_normalization/beta_0/image', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/multi_head_attention/randomly_connected_dense_1/kernel_0/histogram', 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'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/randomly_connected_dense_5/bias_0/histogram', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/randomly_connected_dense_5/bias_0/image', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/randomly_connected_dense_6/kernel_0/histogram', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/randomly_connected_dense_6/kernel_0/image', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/randomly_connected_dense_6/bias_0/histogram', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer/randomly_connected_dense_6/bias_0/image', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer_1/layer_normalization_2/gamma_0/histogram', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer_1/layer_normalization_2/gamma_0/image', 'rasa_sequence_layer_text/text_encoder/transformer_encoder_layer_1/layer_normalization_2/beta_0/histogram', 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What could be the problem?

I am using Python 3.10 on macOS and use TensorBoard 2.12.3.