ImportError: cannot import name 'Layer' #3

GavinMoreYoung · 2019-02-22T03:36:30Z

i run chapter IV code see the issue , i do not know how to solve it, i hope you can help me. i am look forward to your reply.
python version: Python 3.6.8
pip list display:
Package Version

absl-py 0.7.0
APScheduler 3.5.3
asn1crypto 0.24.0
astor 0.7.1
attrs 18.2.0
Automat 0.7.0
boto3 1.9.100
botocore 1.12.100
certifi 2018.11.29
cffi 1.12.1
chardet 3.0.4
Click 7.0
cloudpickle 0.6.1
colorama 0.4.1
colorclass 2.2.0
coloredlogs 10.0
colorhash 1.0.2
ConfigArgParse 0.13.0
constantly 15.1.0
cryptography 2.5
cycler 0.10.0
decorator 4.3.2
docopt 0.6.2
docutils 0.14
fakeredis 0.10.3
fbmessenger 5.4.0
Flask 1.0.2
Flask-Cors 3.0.7
Flask-JWT-Simple 0.0.3
future 0.17.1
gast 0.2.2
gevent 1.4.0
greenlet 0.4.15
grpcio 1.18.0
h5py 2.9.0
humanfriendly 4.18
hyperlink 18.0.0
idna 2.8
incremental 17.5.0
itsdangerous 1.1.0
Jinja2 2.10
jmespath 0.9.3
jsonpickle 1.1
jsonschema 2.6.0
Keras-Applications 1.0.6
Keras-Preprocessing 1.0.5
kiwisolver 1.0.1
klein 17.10.0
Markdown 3.0.1
MarkupSafe 1.1.0
matplotlib 2.2.3
mattermostwrapper 2.1
networkx 2.2
numpy 1.16.1
packaging 18.0
pika 0.12.0
pip 19.0.2
pipenv 2018.11.26
prompt-toolkit 2.0.9
protobuf 3.6.1
pycparser 2.19
pydot 1.4.1
PyHamcrest 1.9.0
PyJWT 1.7.1
pykwalify 1.7.0
pymongo 3.7.2
pyparsing 2.3.1
pyreadline 2.1
PySocks 1.6.8
python-dateutil 2.8.0
python-engineio 3.4.3
python-socketio 3.1.2
python-telegram-bot 11.1.0
pytz 2018.9
PyYAML 3.13
questionary 1.0.2
rasa-core 0.13.2
rasa-core-sdk 0.12.2
rasa-nlu 0.14.3
redis 2.10.6
requests 2.21.0
requests-toolbelt 0.9.1
rocketchat-API 0.6.26
ruamel.yaml 0.15.88
s3transfer 0.2.0
scikit-learn 0.20.2
scipy 1.2.1
setuptools 40.6.2
simplejson 3.16.0
six 1.12.0
slackclient 1.3.0
tensorboard 1.12.2
tensorflow 1.12.0
termcolor 1.1.0
terminaltables 3.1.0
tqdm 4.31.1
twilio 6.24.1
Twisted 18.9.0
typing 3.6.6
tzlocal 1.5.1
urllib3 1.24.1
virtualenv 16.4.0
virtualenv-clone 0.5.1
wcwidth 0.1.7
webexteamssdk 1.1.1
websocket-client 0.54.0
Werkzeug 0.14.1
wheel 0.33.1
zope.interface 4.6.0
run this file train_initialize.py:
from future import absolute_import
from future import division
from future import print_function
from future import unicode_literals

from rasa_core import utils
from rasa_core.agent import Agent
from rasa_core.policies.keras_policy import KerasPolicy
from rasa_core.policies.memoization import MemoizationPolicy

if name == 'main':
utils.configure_colored_logging(loglevel="DEBUG")

training_data_file = './data/stories.md'
model_path = './models/dialogue'

agent = Agent("horoscope_domain.yml",
              policies=[MemoizationPolicy(max_history = 2), KerasPolicy()])

training_data = agent.load_data(training_data_file)

agent.train(
        training_data,
        augmentation_factor=50,
        # epochs=500,
        # batch_size=10,
        validation_split=0.2
)

agent.persist(model_path)

error information:
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Generated trackers will be deduplicated based on their unique last 5 states.
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Number of augmentation rounds is 3
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Starting data generation round 0 ... (with 1 trackers)
Processed Story Blocks: 100%|██████████| 5/5 [00:00<00:00, 99.20it/s, # trackers=1]
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Finished phase (5 training samples found).
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Data generation rounds finished.
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Found 0 unused checkpoints
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Starting augmentation round 0 ... (with 5 trackers)
Processed Story Blocks: 100%|██████████| 5/5 [00:00<00:00, 557.03it/s, # trackers=4]
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Finished phase (26 training samples found).
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Starting augmentation round 1 ... (with 20 trackers)
Processed Story Blocks: 100%|██████████| 5/5 [00:00<00:00, 175.77it/s, # trackers=11]
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Finished phase (79 training samples found).
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Starting augmentation round 2 ... (with 20 trackers)
Processed Story Blocks: 100%|██████████| 5/5 [00:00<00:00, 156.55it/s, # trackers=9]
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Finished phase (118 training samples found).
2019-02-22 10:58:22 DEBUG rasa_core.training.generator - Found 118 training trackers.
2019-02-22 10:58:22 DEBUG rasa_core.agent - Agent trainer got kwargs: {'augmentation_factor': 50, 'validation_split': 0.2}
2019-02-22 10:58:22 DEBUG rasa_core.featurizers - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(SingleStateFeaturizer))...
Processed trackers: 100%|██████████| 118/118 [00:00<00:00, 687.36it/s, # actions=42]
2019-02-22 10:58:22 DEBUG rasa_core.featurizers - Created 42 action examples.
Processed actions: 42it [00:00, 9352.34it/s, # examples=42]
2019-02-22 10:58:22 DEBUG rasa_core.policies.memoization - Memorized 42 unique examples.
2019-02-22 10:58:22 DEBUG rasa_core.featurizers - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(BinarySingleStateFeaturizer))...
Processed trackers: 100%|██████████| 118/118 [00:00<00:00, 770.20it/s, # actions=93]
2019-02-22 10:58:23 DEBUG rasa_core.featurizers - Created 93 action examples.
Traceback (most recent call last):
File "C:/Users/Admin/Desktop/building-chatbots-with-python-master/Chapter IV/Chapter IV Code horoscope_bot/horoscope_bot/train_initialize.py", line 28, in
validation_split=0.2
File "D:\Python\lib\site-packages\rasa_core\agent.py", line 520, in train
**kwargs)
File "D:\Python\lib\site-packages\rasa_core\policies\ensemble.py", line 63, in train
policy.train(training_trackers, domain, **kwargs)
File "D:\Python\lib\site-packages\rasa_core\policies\keras_policy.py", line 162, in train
shuffled_y.shape[1:])
File "D:\Python\lib\site-packages\rasa_core\policies\keras_policy.py", line 93, in model_architecture
from tensorflow.keras.models import Sequential
File "D:\Python\lib\site-packages\tensorflow\keras_init_.py", line 20, in
from . import layers
File "D:\Python\lib\site-packages\tensorflow\keras\layers_init_.py", line 8, in
from tensorflow.python.estimator.keras import Layer
ImportError: cannot import name 'Layer'

I look forward your reply . thanks

The text was updated successfully, but these errors were encountered:

sumit12dec · 2019-02-28T14:13:57Z

Hi @GavinMoreYoung
I looked into your issue and tried to replicate and see what can be potential fix.

Here is what I did after I could replicate your issue.

Created a new req.txt file with below version in the file.
rasa-core==0.11.1
rasa-core-sdk==0.11.0
rasa-nlu==0.13.2
gunicorn==19.9.0
requests==2.18.4
spacy==2.0.11
sklearn-crfsuite==0.3.6
pip3 install -r req.txt
Then went to python3 interpreter
Then tried importing the line which was giving error and it's working for me now.

from tensorflow.python.estimator.keras import Layer

Here is a screenshot of my successful import. https://imgur.com/a/ih71nq3

Let me know if it works for you

Regards,
Sumit Raj

sumit12dec · 2019-03-22T07:39:33Z

Hi @GavinMoreYoung

Hope you are doing well and your issue was resolved. Feel free to comment here or come join our discussion forum https://buildingchatbotswithpython.sumitraj.in/

Request you to please leave a review of the book on Amazon.

https://www.amazon.com/Building-Chatbots-Python-Language-Processing/dp/1484240952

Regards,
Sumit

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ImportError: cannot import name 'Layer' #3

ImportError: cannot import name 'Layer' #3

GavinMoreYoung commented Feb 22, 2019

sumit12dec commented Feb 28, 2019

sumit12dec commented Mar 22, 2019

ImportError: cannot import name 'Layer' #3

ImportError: cannot import name 'Layer' #3

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GavinMoreYoung commented Feb 22, 2019

sumit12dec commented Feb 28, 2019

sumit12dec commented Mar 22, 2019