Hi @Arjaan, thank you for your reply.
As you said, I created a new env with pipenv, installed Rasa using the command that you provided.
Below the errors that I got during the installation:
ERROR: sanic-plugins-framework 0.8.2.post1 has requirement sanic<=19.6.3,>=0.8.3, but you'll have sanic 19.9.0 which is incompatible.
rasa-sdk 1.7 requires sanic 19.9.0, but sanic-plugins-framework 0.8.2.post1 (the newest version) requires sanic 19.6.3 or lower. So the only option was to downgrade rasa-sdk (I created a fresh new env and installed rasa 1.6).
Still same error. I found this topic. Now I’m trying solving it.
Ok, I just installed Rasa using the Build Source Installation and this time it worked without errors.
I tried to run the command rasa train nlu -c convert.yml and I got this error:
Traceback (most recent call last):
File "/usr/local/bin/rasa", line 8, in <module>
sys.exit(main())
File "/usr/local/lib/python3.6/dist-packages/rasa/__main__.py", line 76, in main
cmdline_arguments.func(cmdline_arguments)
File "/usr/local/lib/python3.6/dist-packages/rasa/cli/train.py", line 138, in train_nlu
persist_nlu_training_data=args.persist_nlu_data,
File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 410, in train_nlu
persist_nlu_training_data,
File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 441, in _train_nlu_async
persist_nlu_training_data=persist_nlu_training_data,
File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 470, in _train_nlu_with_validated_data
persist_nlu_training_data=persist_nlu_training_data,
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/train.py", line 69, in train
nlu_config = config.load(nlu_config)
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/config.py", line 26, in load
return _load_from_dict(config, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/config.py", line 46, in _load_from_dict
return RasaNLUModelConfig(config)
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/config.py", line 97, in __init__
from rasa.nlu import registry
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/registry.py", line 12, in <module>
from rasa.nlu.classifiers.embedding_intent_classifier import EmbeddingIntentClassifier
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/classifiers/embedding_intent_classifier.py", line 13, in <module>
from rasa.utils import train_utils
File "/usr/local/lib/python3.6/dist-packages/rasa/utils/train_utils.py", line 10, in <module>
from tensor2tensor.models.transformer import (
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/models/__init__.py", line 25, in <module>
from tensor2tensor.layers import modalities # pylint: disable=g-import-not-at-top
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/layers/modalities.py", line 28, in <module>
from tensor2tensor.layers import common_attention
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/layers/common_attention.py", line 954, in <module>
def attention_bias_to_padding(attention_bias, cast_fn=tf.to_float):
AttributeError: module 'tensorflow' has no attribute 'to_float'
I solved this error in this way, now I got a new error:
Traceback (most recent call last):
File "/usr/local/bin/rasa", line 8, in <module>
sys.exit(main())
File "/usr/local/lib/python3.6/dist-packages/rasa/__main__.py", line 76, in main
cmdline_arguments.func(cmdline_arguments)
File "/usr/local/lib/python3.6/dist-packages/rasa/cli/train.py", line 138, in train_nlu
persist_nlu_training_data=args.persist_nlu_data,
File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 410, in train_nlu
persist_nlu_training_data,
File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 441, in _train_nlu_async
persist_nlu_training_data=persist_nlu_training_data,
File "/usr/local/lib/python3.6/dist-packages/rasa/train.py", line 470, in _train_nlu_with_validated_data
persist_nlu_training_data=persist_nlu_training_data,
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/train.py", line 69, in train
nlu_config = config.load(nlu_config)
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/config.py", line 26, in load
return _load_from_dict(config, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/config.py", line 46, in _load_from_dict
return RasaNLUModelConfig(config)
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/config.py", line 97, in __init__
from rasa.nlu import registry
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/registry.py", line 12, in <module>
from rasa.nlu.classifiers.embedding_intent_classifier import EmbeddingIntentClassifier
File "/usr/local/lib/python3.6/dist-packages/rasa/nlu/classifiers/embedding_intent_classifier.py", line 13, in <module>
from rasa.utils import train_utils
File "/usr/local/lib/python3.6/dist-packages/rasa/utils/train_utils.py", line 10, in <module>
from tensor2tensor.models.transformer import (
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/models/__init__.py", line 25, in <module>
from tensor2tensor.layers import modalities # pylint: disable=g-import-not-at-top
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/layers/modalities.py", line 32, in <module>
from tensor2tensor.layers import common_video
File "/usr/local/lib/python3.6/dist-packages/tensor2tensor/layers/common_video.py", line 37, in <module>
tfl = tf.layers
AttributeError: module 'tensorflow' has no attribute 'layers'
Apparently the problem was related to versions of the various components of tensorflow. After many tries I could run it without errors using tensorflow 1.15.0. I finally managed to train the model with conveRT.
Now the only error that I get is this one:
2020-02-05 11:19:07.018146: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
but doesn’y seem to affect anything.
Thank you!