hi @itsjhonny !
I successfully installed Rasa on my M1 based on your guide, following up from this thread. Thank you! However, I am running into this when I run rasa train over on terminal:
I am not able to interact with the bot after running rasa shell in the terminal. What am I doing wrong?
Metal device set to: Apple M1
systemMemory: 8.00 GB
maxCacheSize: 2.67 GB
/opt/homebrew/Caskroom/miniforge/base/envs/rasadev/lib/python3.8/site-packages/rasa/utils/tensorflow/model_data.py:750: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
np.concatenate(np.array(f)),
Epochs: 100%|βββββββ| 100/100 [00:22<00:00, 4.47it/s, t_loss=1.27, i_acc=0.986]
2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component.
2022-07-21 11:40:13 INFO rasa.nlu.model - Starting to train component EntitySynonymMapper
2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component.
2022-07-21 11:40:13 INFO rasa.nlu.model - Starting to train component ResponseSelector
2022-07-21 11:40:13 INFO rasa.nlu.selectors.response_selector - Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents.
2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component.
2022-07-21 11:40:13 INFO rasa.nlu.model - Starting to train component FallbackClassifier
2022-07-21 11:40:13 INFO rasa.nlu.model - Finished training component.
2022-07-21 11:40:13 INFO rasa.nlu.model - Successfully saved model into '/var/folders/rt/4dsv7dh93zbdjyj0hzvg12r00000gn/T/tmp525_f13q/nlu'
NLU model training completed.
Training Core model...
2022-07-21 11:40:20 WARNING rasa.utils.common - Failed to write global config. Error: [Errno 13] Permission denied: '/Users/karan/.config/rasa'. Skipping.
2022-07-21 11:40:20 WARNING rasa.shared.utils.common - The UnexpecTED Intent Policy is currently experimental and might change or be removed in the future π¬ Please share your feedback on it in the forum (http://forum.rasa.com) to help us make this feature ready for production.
Processed story blocks: 100%|βββββ| 3/3 [00:00<00:00, 3355.44it/s, # trackers=1]
Processed story blocks: 100%|βββββ| 3/3 [00:00<00:00, 1581.17it/s, # trackers=3]
Processed story blocks: 100%|βββββ| 3/3 [00:00<00:00, 381.44it/s, # trackers=12]
Processed story blocks: 100%|ββββββ| 3/3 [00:00<00:00, 93.69it/s, # trackers=39]
Processed rules: 100%|ββββββββββββ| 2/2 [00:00<00:00, 5679.49it/s, # trackers=1]
Processed trackers: 100%|ββββββββββ| 3/3 [00:00<00:00, 3057.82it/s, # action=12]
Processed actions: 12it [00:00, 15582.55it/s, # examples=12]
Processed trackers: 100%|βββββββββββ| 2/2 [00:00<00:00, 5302.53it/s, # action=5]
Processed actions: 5it [00:00, 31823.25it/s, # examples=4]
Processed trackers: 100%|ββββββββββ| 3/3 [00:00<00:00, 3192.01it/s, # action=12]
Processed trackers: 100%|βββββββββββββββββββββββ| 2/2 [00:00<00:00, 3502.55it/s]
Processed trackers: 100%|βββββββββββββββββββββββ| 5/5 [00:00<00:00, 2430.64it/s]
Processed trackers: 100%|ββββββ| 120/120 [00:00<00:00, 5289.16it/s, # intent=12]
/opt/homebrew/Caskroom/miniforge/base/envs/rasadev/lib/python3.8/site-packages/rasa/utils/tensorflow/model_data_utils.py:383: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray
np.array(values), number_of_dimensions=4
Epochs: 0%| | 0/100 [00:00<?, ?it/s]/opt/homebrew/Caskroom/miniforge/base/envs/rasadev/lib/python3.8/site-packages/tensorflow/python/framework/indexed_slices.py:448: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradients/cond_grad/Identity_1:0", shape=(None,), dtype=int64), values=Tensor("gradients/cond_grad/Identity:0", shape=(None,), dtype=float32), dense_shape=Tensor("gradients/cond_grad/Identity_2:0", shape=(1,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(
/opt/homebrew/Caskroom/miniforge/base/envs/rasadev/lib/python3.8/site-packages/tensorflow/python/framework/indexed_slices.py:448: UserWarning: Converting sparse IndexedSlices(IndexedSlices(indices=Tensor("gradients/cond_1_grad/Identity_1:0", shape=(None,), dtype=int64), values=Tensor("gradients/cond_1_grad/Identity:0", shape=(None,), dtype=float32), dense_shape=Tensor("gradients/cond_1_grad/Identity_2:0", shape=(1,), dtype=int32))) to a dense Tensor of unknown shape. This may consume a large amount of memory.
warnings.warn(
2022-07-21 11:40:28.403487: F tensorflow/core/framework/tensor.cc:681] Check failed: IsAligned() ptr = 0x2bea09910
zsh: abort rasa train
(rasadev) karan@Nishakarans-MacBook-Air development % /opt/homebrew/Caskroom/miniforge/base/envs/rasadev/lib/python3.8/multiprocessing/resource_tracker.py:216: UserWarning: resource_tracker: There appear to be 1 leaked semaphore objects to clean up at shutdown
warnings.warn('resource_tracker: There appear to be %d ''```
