# "rasa init --no-prompt" returns NotFoundError
**URL:** https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542
**Category:** Rasa Open Source
**Created:** [March 3, 2020, 4:51am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542 "2020-03-03T04:51:10Z")
**Posts on this page:** 14
**Page:** 1
### Author:  [@Hakim](https://forum.rasa.com/u/Hakim)
#### Post date: [March 3, 2020, 4:51am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/1 "2020-03-03T04:51:10Z")
installed rasa successfully but when I try to create new project using
`rasa init --no-prompt`
I am getting this error
```
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\rasa\utils\tensorflow\models.py:128 train_on_batch *
total_loss = self._total_batch_loss(batch_in)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\rasa\utils\tensorflow\models.py:184 _total_batch_loss *
prediction_loss = self.batch_loss(batch_in)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\rasa\core\policies\ted_policy.py:594 batch_loss *
dialogue_embed, mask = self._emebed_dialogue(dialogue_in)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\rasa\core\policies\ted_policy.py:562 _emebed_dialogue *
dialogue_transformed = self._tf_layers["transformer"](
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\rasa\utils\tensorflow\transformer.py:515 call *
x = layer(x, pad_mask=pad_mask, training=training)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\rasa\utils\tensorflow\transformer.py:406 call *
ffn_out = layer(ffn_out, training=training)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\rasa\utils\tensorflow\layers.py:88 call *
return super().call(inputs)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_core\python\keras\layers\core.py:1146 call
return self.activation(outputs) # pylint: disable=not-callable
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_addons\activations\gelu.py:44 gelu
return _activation_so.ops.addons_gelu(x, approximate)
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_addons\utils\resource_loader.py:49 ops
self._ops = tf.load_op_library(get_path_to_datafile(self.relative_path))
c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_core\python\framework\load_library.py:57 load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
NotFoundError: c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_addons\custom_ops\activations\_activation_ops.so not found
```
But I checked the directory and `_activation_ops.so` exists in this directory
packages installed:
```
# Name Version Build Channel
_tflow_select 2.2.0 eigen
absl-py 0.9.0 py37_0
aiofiles 0.4.0 pypi_0 pypi
aiohttp 3.6.2 pypi_0 pypi
apscheduler 3.6.3 pypi_0 pypi
asn1crypto 1.3.0 py37_0
astor 0.8.0 py37_0
async-generator 1.10 pypi_0 pypi
async-timeout 3.0.1 pypi_0 pypi
attrs 19.3.0 pypi_0 pypi
blas 1.0 mkl
blinker 1.4 py37_0
boto3 1.12.12 pypi_0 pypi
botocore 1.15.12 pypi_0 pypi
ca-certificates 2020.1.1 0
cachetools 3.1.1 py_0
certifi 2019.11.28 py37_0
cffi 1.14.0 py37h7a1dbc1_0
chardet 3.0.4 py37_1003
click 7.0 py37_0
cloudpickle 1.2.2 pypi_0 pypi
colorama 0.4.3 pypi_0 pypi
colorclass 2.2.0 pypi_0 pypi
coloredlogs 10.0 pypi_0 pypi
colorhash 1.0.2 pypi_0 pypi
cryptography 2.8 py37h7a1dbc1_0
cycler 0.10.0 pypi_0 pypi
decorator 4.4.2 pypi_0 pypi
dnspython 1.16.0 pypi_0 pypi
docopt 0.6.2 pypi_0 pypi
docutils 0.15.2 pypi_0 pypi
fbmessenger 6.0.0 pypi_0 pypi
future 0.18.2 pypi_0 pypi
gast 0.2.2 py37_0
gevent 1.4.0 pypi_0 pypi
google-auth 1.11.2 py_0
google-auth-oauthlib 0.4.1 py_2
google-pasta 0.1.8 py_0
greenlet 0.4.15 pypi_0 pypi
grpcio 1.27.2 py37h351948d_0
h11 0.8.1 pypi_0 pypi
h2 3.2.0 pypi_0 pypi
h5py 2.10.0 py37h5e291fa_0
hdf5 1.10.4 h7ebc959_0
hpack 3.0.0 pypi_0 pypi
hstspreload 2020.2.29 pypi_0 pypi
httptools 0.1.1 pypi_0 pypi
httpx 0.9.3 pypi_0 pypi
humanfriendly 8.0 pypi_0 pypi
hyperframe 5.2.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
idna 2.8 py37_0
importlib-metadata 1.5.0 pypi_0 pypi
intel-openmp 2020.0 166
jmespath 0.9.5 pypi_0 pypi
joblib 0.14.1 pypi_0 pypi
jsonpickle 1.3 pypi_0 pypi
jsonschema 3.2.0 pypi_0 pypi
kafka-python 1.4.7 pypi_0 pypi
keras-applications 1.0.8 py_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 pypi_0 pypi
libprotobuf 3.11.4 h7bd577a_0
markdown 3.1.1 py37_0
matplotlib 3.1.3 pypi_0 pypi
mattermostwrapper 2.2 pypi_0 pypi
mkl 2020.0 166
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.15 py37h14836fe_0
mkl_random 1.1.0 py37h675688f_0
multidict 4.7.5 pypi_0 pypi
networkx 2.4 pypi_0 pypi
numpy 1.18.1 py37h93ca92e_0
numpy-base 1.18.1 py37hc3f5095_1
oauthlib 3.1.0 py_0
openssl 1.1.1d he774522_4
opt_einsum 3.1.0 py_0
packaging 19.0 pypi_0 pypi
pika 1.1.0 pypi_0 pypi
pip 20.0.2 py37_1
prompt-toolkit 2.0.10 pypi_0 pypi
protobuf 3.11.4 py37h33f27b4_0
psycopg2-binary 2.8.4 pypi_0 pypi
pyasn1 0.4.8 py_0
pyasn1-modules 0.2.7 py_0
pycparser 2.19 py37_0
pydot 1.4.1 pypi_0 pypi
pyjwt 1.7.1 py37_0
pykwalify 1.7.0 pypi_0 pypi
pymongo 3.8.0 pypi_0 pypi
pyopenssl 19.1.0 py37_0
pyparsing 2.4.6 pypi_0 pypi
pyreadline 2.1 py37_1
pyrsistent 0.15.7 pypi_0 pypi
pysocks 1.7.1 py37_0
python 3.7.6 h60c2a47_2
python-crfsuite 0.9.6 pypi_0 pypi
python-dateutil 2.8.1 pypi_0 pypi
python-engineio 3.11.2 pypi_0 pypi
python-socketio 4.4.0 pypi_0 pypi
python-telegram-bot 11.1.0 pypi_0 pypi
pytz 2019.3 pypi_0 pypi
pyyaml 5.3 pypi_0 pypi
questionary 1.5.1 pypi_0 pypi
rasa 1.8.0 pypi_0 pypi
rasa-sdk 1.8.0 pypi_0 pypi
redis 3.4.1 pypi_0 pypi
requests 2.23.0 pypi_0 pypi
requests-oauthlib 1.3.0 py_0
requests-toolbelt 0.9.1 pypi_0 pypi
rfc3986 1.3.2 pypi_0 pypi
rocketchat-api 0.6.36 pypi_0 pypi
rsa 4.0 py_0
ruamel-yaml 0.15.100 pypi_0 pypi
s3transfer 0.3.3 pypi_0 pypi
sanic 19.12.2 pypi_0 pypi
sanic-cors 0.10.0.post3 pypi_0 pypi
sanic-jwt 1.3.2 pypi_0 pypi
sanic-plugins-framework 0.9.2 pypi_0 pypi
scikit-learn 0.22.2 pypi_0 pypi
scipy 1.4.1 py37h9439919_0
setuptools 45.2.0 py37_0
six 1.14.0 py37_0
sklearn-crfsuite 0.3.6 pypi_0 pypi
slackclient 2.5.0 pypi_0 pypi
sniffio 1.1.0 pypi_0 pypi
sqlalchemy 1.3.13 pypi_0 pypi
sqlite 3.31.1 he774522_0
tabulate 0.8.6 pypi_0 pypi
tensorboard 2.1.0 py3_0
tensorflow 2.1.0 eigen_py37hd727fc0_0
tensorflow-addons 0.8.2 pypi_0 pypi
tensorflow-base 2.1.0 eigen_py37h49b2757_0
tensorflow-estimator 2.1.0 pyhd54b08b_0
tensorflow-hub 0.7.0 pypi_0 pypi
tensorflow-probability 0.7.0 pypi_0 pypi
termcolor 1.1.0 py37_1
terminaltables 3.1.0 pypi_0 pypi
tqdm 4.31.1 pypi_0 pypi
twilio 6.26.3 pypi_0 pypi
typeguard 2.7.1 pypi_0 pypi
tzlocal 2.0.0 pypi_0 pypi
urllib3 1.25.8 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_1
wcwidth 0.1.8 pypi_0 pypi
webexteamssdk 1.1.1 pypi_0 pypi
websockets 8.1 pypi_0 pypi
werkzeug 0.14.1 py37_0
wheel 0.34.2 py37_0
win_inet_pton 1.1.0 py37_0
wincertstore 0.2 py37_0
wrapt 1.11.2 py37he774522_0
yarl 1.4.2 pypi_0 pypi
zipp 3.0.0 pypi_0 pypi
zlib 1.2.11 h62dcd97_3
```
---
### Author:  [@Chevolier](https://forum.rasa.com/u/Chevolier)
#### Post date: [March 3, 2020, 1:52pm UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/2 "2020-03-03T13:52:23Z")
Hi, have you solved the problem? I encountered the same one.
---
### Author:  [@chkoss](https://forum.rasa.com/u/chkoss)
#### Post date: [March 3, 2020, 5:26pm UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/3 "2020-03-03T17:26:46Z")
Hello @Hakim , what is the output in the terminal when you run `rasa init --no-prompt --debug`?
---
### Author:  [@John123](https://forum.rasa.com/u/John123)
#### Post date: [March 4, 2020, 1:32am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/4 "2020-03-04T01:32:09Z")
I received the same problem and has run as you told but still receives the same error. Any ideas what can I do next?
---
### Author:  [@Hakim](https://forum.rasa.com/u/Hakim)
#### Post date: [March 4, 2020, 3:51am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/5 "2020-03-04T03:51:38Z")
ran `rasa init --no-prompt --debug` same error occurred.
---
### Author:  [@Hakim](https://forum.rasa.com/u/Hakim)
#### Post date: [March 4, 2020, 4:18am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/6 "2020-03-04T04:18:28Z")
still no solution
---
### Author:  [@Hakim](https://forum.rasa.com/u/Hakim)
#### Post date: [March 5, 2020, 6:50am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/7 "2020-03-05T06:50:51Z")
@chkoss can you help me with this situation?
---
### Author:  [@chkoss](https://forum.rasa.com/u/chkoss)
#### Post date: [March 5, 2020, 10:34am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/8 "2020-03-05T10:34:49Z")
Is the error message the first and only thing that appears in your terminal when running the command? The purpose of the `--debug` flag is to print lots of information that can help understand whatβs going on. Could you send me the full debug log, i.e. everything that is printed in the terminal after executing the command?
---
### Author:  [@chkoss](https://forum.rasa.com/u/chkoss)
#### Post date: [March 5, 2020, 10:55am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/9 "2020-03-05T10:55:37Z")
Another thought: Did you make sure to activate the right virtual environment?
In the error message, it says it was looking for the file in `envs/testr`. But the image with the file shows the content of a subfolder of `envs/tf_gpu` instead.
Please check if `activation_ops.so` actually exists in `c:\users\azizul\anaconda3\envs\testr\lib\site-packages\tensorflow_addons\custom_ops\activations\_activation_ops.so`
---
### Author:  [@nparshet](https://forum.rasa.com/u/nparshet)
#### Post date: [March 6, 2020, 5:16am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/10 "2020-03-06T05:16:11Z")
Hi Christina
I am also facing same issue, I have checked that \_activation\_ops.so is present in actual path. Please find below debug logs
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\h5py\__init_\_.py:40: UserWarning: h5py is running against HDF5 1.10.5 when it was built against 1.10.4, this may cause problems β{0}.{1}.{2}β.format(\*version.hdf5\_built\_version\_tuple) Welcome to Rasa! π€
To get started quickly, an initial project will be created. If you need some help, check out the documentation at [Introduction to Rasa Open Source](https://rasa.com/docs/rasa).
Created project directory at βD:\rasa\_project\_newβ. Finished creating project structure. Training an initial modelβ¦ 2020-03-06 10:41:58 DEBUG rasa.nlu.training\_data.loading - Training data format of β.\data\nlu.mdβ is βmdβ. 2020-03-06 10:41:58 DEBUG rasa.nlu.training\_data.loading - Training data format of β.\data\stories.mdβ is βunkβ. 2020-03-06 10:41:58 DEBUG pykwalify.compat - Using yaml library: c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\ruamel\yaml\__init_\_.py 2020-03-06 10:41:58 DEBUG rasa.nlu.training\_data.loading - Training data format of β.\data\nlu.mdβ is βmdβ. 2020-03-06 10:41:58 DEBUG rasa.nlu.training\_data.loading - Training data format of β.\data\nlu.mdβ is βmdβ. Training Core modelβ¦ 2020-03-06 10:42:17 DEBUG rasa.core.nlg.generator - Instantiated NLG to βTemplatedNaturalLanguageGeneratorβ. 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Generated trackers will be deduplicated based on their unique last 5 states. 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Number of augmentation rounds is 3 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Starting data generation round 0 β¦ (with 1 trackers) Processed Story Blocks: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 5/5 [00:00\<00:00, 711.67it/s, # trackers=1] 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Finished phase (5 training samples found). 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Data generation rounds finished. 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Found 0 unused checkpoints 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Starting augmentation round 0 β¦ (with 5 trackers) Processed Story Blocks: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 5/5 [00:00\<00:00, 285.20it/s, # trackers=5] 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Finished phase (30 training samples found). 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Starting augmentation round 1 β¦ (with 30 trackers) Processed Story Blocks: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 5/5 [00:00\<00:00, 90.89it/s, # trackers=20] 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Finished phase (125 training samples found). 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Starting augmentation round 2 β¦ (with 50 trackers) Processed Story Blocks: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 5/5 [00:00\<00:00, 54.28it/s, # trackers=24] 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Finished phase (231 training samples found). 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Found 231 training trackers. 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - Subsampled to 226 augmented training trackers. 2020-03-06 10:42:17 DEBUG rasa.core.training.generator - There are 5 original trackers. 2020-03-06 10:42:17 DEBUG rasa.core.agent - Agent trainer got kwargs: {} 2020-03-06 10:42:17 DEBUG rasa.core.featurizers - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(NoneType))β¦ Processed trackers: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 5/5 [00:00\<00:00, 249.91it/s, # actions=16] 2020-03-06 10:42:17 DEBUG rasa.core.featurizers - Created 16 action examples. Processed actions: 16it [00:00, 874.92it/s, # examples=16] 2020-03-06 10:42:17 DEBUG rasa.core.policies.memoization - Memorized 16 unique examples. 2020-03-06 10:42:17 DEBUG rasa.core.featurizers - Creating states and action examples from collected trackers (by MaxHistoryTrackerFeaturizer(LabelTokenizerSingleStateFeaturizer))β¦ Processed trackers: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 231/231 [00:05\<00:00, 45.46it/s, # actions=126] 2020-03-06 10:42:22 DEBUG rasa.core.featurizers - Created 126 action examples. 2020-03-06 10:42:23 DEBUG rasa.utils.tensorflow.models - Building tensorflow train graphβ¦ Traceback (most recent call last): File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\runpy.pyβ, line 193, in _run\_module\_as\_main β **main** β, mod\_spec) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\runpy.pyβ, line 85, in run\_code exec(code, run\_globals) File "C:\Users\nileshmallinath.p\AppData\Local\conda\conda\envs\rasa\_env6\Scripts\rasa.exe\_main.py", line 7, in File "c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\_main_.py", line 91, in main cmdline\_arguments.func(cmdline\_arguments) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\cli\scaffold.pyβ, line 209, in run init\_project(args, path) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\cli\scaffold.pyβ, line 121, in init\_project print\_train\_or\_instructions(args, path) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\cli\scaffold.pyβ, line 58, in print\_train\_or\_instructions args.model = rasa.train(domain, config, training\_files, output) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\train.pyβ, line 50, in train additional\_arguments=additional\_arguments, File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\asyncio\base\_events.pyβ, line 488, in run\_until\_complete return future.result() File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\train.pyβ, line 101, in train\_async additional\_arguments, File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\train.pyβ, line 188, in \_train\_async\_internal additional\_arguments=additional\_arguments, File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\train.pyβ, line 223, in \_do\_training additional\_arguments=additional\_arguments, File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\train.pyβ, line 361, in \_train\_core\_with\_validated\_data additional\_arguments=additional\_arguments, File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\core\train.pyβ, line 66, in train agent.train(training\_data, \*\*additional\_arguments) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\core\agent.pyβ, line 707, in train self.policy\_ensemble.train(training\_trackers, self.domain, \*\*kwargs) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\core\policies\ensemble.pyβ, line 124, in train policy.train(training\_trackers, domain, \*\*kwargs) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\core\policies\ted\_policy.pyβ, line 314, in train batch\_strategy=self.config[BATCH\_STRATEGY], File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\utils\tensorflow\models.pyβ, line 81, in fit ) = self.\_get\_tf\_train\_functions(eager, model\_data, batch\_strategy) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\utils\tensorflow\models.pyβ, line 241, in \_get\_tf\_train\_functions train\_dataset\_function, self.train\_on\_batch, eager, βtrainβ File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\rasa\utils\tensorflow\models.pyβ, line 223, in \_get\_tf\_call\_model\_function tf\_call\_model\_function(next(iter(init\_dataset))) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\eager\def\_function.pyβ, line 568, in **call** result = self.\_call(\*args, \*\*kwds) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\eager\def\_function.pyβ, line 615, in \_call self.\_initialize(args, kwds, add\_initializers\_to=initializers) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\eager\def\_function.pyβ, line 497, in \_initialize \*args, \*\*kwds)) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\eager\function.pyβ, line 2389, in \_get\_concrete\_function\_internal\_garbage\_collected graph\_function, \_, \_ = self.\_maybe\_define\_function(args, kwargs) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\eager\function.pyβ, line 2703, in \_maybe\_define\_function graph\_function = self.\_create\_graph\_function(args, kwargs) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\eager\function.pyβ, line 2593, in \_create\_graph\_function capture\_by\_value=self.\_capture\_by\_value), File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\framework\func\_graph.pyβ, line 978, in func\_graph\_from\_py\_func func\_outputs = python\_func(\*func\_args, \*\*func\_kwargs) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\eager\def\_function.pyβ, line 439, in wrapped\_fn return weak\_wrapped\_fn(). **wrapped** (\*args, \*\*kwds) File βc:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa\_env6\lib\site-packages\tensorflow\_core\python\framework\func\_graph.pyβ, line 968, in wrapper raise e.ag\_error\_metadata.to\_exception(e) tensorflow.python.framework.errors\_impl.NotFoundError: in converted code:
```
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\models.py:128 train_on_batch *
total_loss = self._total_batch_loss(batch_in)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\models.py:184 _total_batch_loss *
prediction_loss = self.batch_loss(batch_in)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\core\policies\ted_policy.py:594 batch_loss *
dialogue_embed, mask = self._emebed_dialogue(dialogue_in)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\core\policies\ted_policy.py:562 _emebed_dialogue *
dialogue_transformed = self._tf_layers["transformer"](
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\transformer.py:515 call *
x = layer(x, pad_mask=pad_mask, training=training)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\transformer.py:406 call *
ffn_out = layer(ffn_out, training=training)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\keras\engine\base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\layers.py:88 call *
return super().call(inputs)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\keras\layers\core.py:1146 call
return self.activation(outputs) # pylint: disable=not-callable
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_addons\activations\gelu.py:44 gelu
return _activation_so.ops.addons_gelu(x, approximate)
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_addons\utils\resource_loader.py:49 ops
self._ops = tf.load_op_library(get_path_to_datafile(self.relative_path))
c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\framework\load_library.py:57 load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
NotFoundError: c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_addons\custom_ops\activations\_activation_ops.so not found
```
---
### Author:  [@chkoss](https://forum.rasa.com/u/chkoss)
#### Post date: [March 6, 2020, 11:35am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/11 "2020-03-06T11:35:16Z")
This could be related to a known issue with `tensorflow-addons` (see e.g. [here](https://github.com/tensorflow/addons/issues/792)).
What operating system are you on?
Apparently, the problem only started to occur for some Rasa users when we upgraded the `tensorflow-addons` dependency to version `0.8.2`. So you can try downgrading `tensorflow-addons` to version `0.7.1` and see if that helps.
---
### Author:  [@JulianGerhard](https://forum.rasa.com/u/JulianGerhard)
#### Post date: [March 6, 2020, 2:40pm UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/12 "2020-03-06T14:40:35Z")
Hi @chkoss,
I am experiencing the same problem on the Raspberry Pi currently:
```
Processed Story Blocks: 100%|ββββββββββββββββββββββββββββ| 5/5 [00:00<00:00, 1330.68it/s, # trackers=1]
Processed Story Blocks: 100%|βββββββββββββββββββββββββββββ| 5/5 [00:00<00:00, 381.91it/s, # trackers=5]
Processed Story Blocks: 100%|βββββββββββββββββββββββββββββ| 5/5 [00:00<00:00, 84.41it/s, # trackers=20]
Processed Story Blocks: 100%|βββββββββββββββββββββββββββββ| 5/5 [00:00<00:00, 59.12it/s, # trackers=24]
Processed trackers: 100%|βββββββββββββββββββββββββββββββββ| 5/5 [00:00<00:00, 899.29it/s, # actions=16]
Processed actions: 16it [00:00, 3161.49it/s, # examples=16]
Processed trackers: 100%|ββββββββββββββββββββββββββββ| 231/231 [00:00<00:00, 417.97it/s, # actions=126]
Traceback (most recent call last):
File "/home/pi/rasa_env/bin/rasa", line 11, in
load_entry_point('rasa', 'console_scripts', 'rasa')()
File "/home/pi/rasa/rasa/ __main__.py", line 91, in main
cmdline_arguments.func(cmdline_arguments)
File "/home/pi/rasa/rasa/cli/train.py", line 76, in train
additional_arguments=extract_additional_arguments(args),
File "/home/pi/rasa/rasa/train.py", line 50, in train
additional_arguments=additional_arguments,
File "uvloop/loop.pyx", line 1456, in uvloop.loop.Loop.run_until_complete
File "/home/pi/rasa/rasa/train.py", line 101, in train_async
additional_arguments,
File "/home/pi/rasa/rasa/train.py", line 188, in _train_async_internal
additional_arguments=additional_arguments,
File "/home/pi/rasa/rasa/train.py", line 223, in _do_training
additional_arguments=additional_arguments,
File "/home/pi/rasa/rasa/train.py", line 361, in _train_core_with_validated_data
additional_arguments=additional_arguments,
File "/home/pi/rasa/rasa/core/train.py", line 66, in train
agent.train(training_data, **additional_arguments)
File "/home/pi/rasa/rasa/core/agent.py", line 707, in train
self.policy_ensemble.train(training_trackers, self.domain, **kwargs)
File "/home/pi/rasa/rasa/core/policies/ensemble.py", line 124, in train
policy.train(training_trackers, domain, **kwargs)
File "/home/pi/rasa/rasa/core/policies/ted_policy.py", line 314, in train
batch_strategy=self.config[BATCH_STRATEGY],
File "/home/pi/rasa/rasa/utils/tensorflow/models.py", line 81, in fit
) = self._get_tf_train_functions(eager, model_data, batch_strategy)
File "/home/pi/rasa/rasa/utils/tensorflow/models.py", line 241, in _get_tf_train_functions
train_dataset_function, self.train_on_batch, eager, "train"
File "/home/pi/rasa/rasa/utils/tensorflow/models.py", line 223, in _get_tf_call_model_function
tf_call_model_function(next(iter(init_dataset)))
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 568, in __call__
result = self._call(*args, **kwds)
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 615, in _call
self._initialize(args, kwds, add_initializers_to=initializers)
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 497, in _initialize
*args, **kwds))
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2389, in _get_concrete_function_internal_garbage_collected
graph_function, _, _ = self._maybe_define_function(args, kwargs)
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2703, in _maybe_define_function
graph_function = self._create_graph_function(args, kwargs)
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/eager/function.py", line 2593, in _create_graph_function
capture_by_value=self._capture_by_value),
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 978, in func_graph_from_py_func
func_outputs = python_func(*func_args, **func_kwargs)
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/eager/def_function.py", line 439, in wrapped_fn
return weak_wrapped_fn(). __wrapped__ (*args, **kwds)
File "/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/framework/func_graph.py", line 968, in wrapper
raise e.ag_error_metadata.to_exception(e)
tensorflow.python.framework.errors_impl.NotFoundError: in converted code:
/home/pi/rasa/rasa/utils/tensorflow/models.py:128 train_on_batch *
total_loss = self._total_batch_loss(batch_in)
/home/pi/rasa/rasa/utils/tensorflow/models.py:184 _total_batch_loss *
prediction_loss = self.batch_loss(batch_in)
/home/pi/rasa/rasa/core/policies/ted_policy.py:594 batch_loss *
dialogue_embed, mask = self._emebed_dialogue(dialogue_in)
/home/pi/rasa/rasa/core/policies/ted_policy.py:562 _emebed_dialogue *
dialogue_transformed = self._tf_layers["transformer"](
/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
/home/pi/rasa/rasa/utils/tensorflow/transformer.py:515 call *
x = layer(x, pad_mask=pad_mask, training=training)
/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
/home/pi/rasa/rasa/utils/tensorflow/transformer.py:406 call *
ffn_out = layer(ffn_out, training=training)
/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/base_layer.py:778 __call__
outputs = call_fn(cast_inputs, *args, **kwargs)
/home/pi/rasa/rasa/utils/tensorflow/layers.py:88 call *
return super().call(inputs)
/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/keras/layers/core.py:1146 call
return self.activation(outputs) # pylint: disable=not-callable
/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_addons/activations/gelu.py:44 gelu
return _activation_so.ops.addons_gelu(x, approximate)
/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_addons/utils/resource_loader.py:49 ops
self._ops = tf.load_op_library(get_path_to_datafile(self.relative_path))
/home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_core/python/framework/load_library.py:57 load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
NotFoundError: /home/pi/rasa_env/lib/python3.7/site-packages/tensorflow_addons/custom_ops/activations/_activation_ops.so: undefined symbol: __atomic_load_8
```
I tried to upgrade to 0.9.0-dev and to 0.7.1 - both didnβt work - same problem.
Kind regards
Julian
---
### Author:  [@Hakim](https://forum.rasa.com/u/Hakim)
#### Post date: [March 8, 2020, 3:55am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/13 "2020-03-08T03:55:52Z")
Installed visual studio build tool and then reinstalled anaconda. It worked!! Successfully executed` rasa init`.
---
### Author:  [@psvrao](https://forum.rasa.com/u/psvrao)
#### Post date: [April 4, 2020, 10:30am UTC](https://forum.rasa.com/t/rasa-init-no-prompt-returns-notfounderror/25542/14 "2020-04-04T10:30:48Z")
Hi Nilesh, have you found a solution to this problem? I am also facing the same issue. I am using windows 10, GPU machine. Installing rasa in its own rasax environment.
After success full installation (pip install rasa), ran "rasa init -no-promptβ command. It first gave error βDLL load failed. Failed to load tensorflow runtimeβ. Then i realised that rasa default installation installs tensorflow-cpu 2.1.0, so i have installed tensorflow-gpu. This issue got resolved.
Then it gave mis-match in h5py though it was installed by default rasa install. Then i ran the command pip install h5py --upgrade --no-dependencies βforce. It essentially uninstalled h5py and installed again same version. But this has resolved the issue!
Now I am getting this issue. Unable to find a solution yet! Pls share the solution, if you have been able to resolve it
Thanks