"rasa init --no-prompt" returns NotFoundError

Rasa Open Source
1

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

tf-addons
tf-addons904×196 9.22 KB

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
2

Hi, have you solved the problem? I encountered the same one.

3

Hello @Hakim , what is the output in the terminal when you run rasa init --no-prompt --debug?

4

I received the same problem and has run as you told but still receives the same error. Any ideas what can I do next?

5

ran rasa init --no-prompt --debug same error occurred.

6

still no solution

7

@chkoss can you help me with this situation?

8

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 what’s going on. Could you send me the full debug log, i.e. everything that is printed in the terminal after executing the command?

9

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

10

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 ‘{0}.{1}.{2}’.format(*version.hdf5_built_version_tuple) Welcome to Rasa! :robot:

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.

Created project directory at ‘D:\rasa_project_new’. Finished creating project structure. Training an initial model… 2020-03-06 10:41:58 DEBUG rasa.nlu.training_data.loading - Training data format of ‘.\data\nlu.md’ is ‘md’. 2020-03-06 10:41:58 DEBUG rasa.nlu.training_data.loading - Training data format of ‘.\data\stories.md’ is ‘unk’. 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 ‘.\data\nlu.md’ is ‘md’. 2020-03-06 10:41:58 DEBUG rasa.nlu.training_data.loading - Training data format of ‘.\data\nlu.md’ is ‘md’. Training Core model… 2020-03-06 10:42:17 DEBUG rasa.core.nlg.generator - Instantiated NLG to ‘TemplatedNaturalLanguageGenerator’. 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 … (with 1 trackers) Processed Story Blocks: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 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 … (with 5 trackers) Processed Story Blocks: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 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 … (with 30 trackers) Processed Story Blocks: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 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 … (with 50 trackers) Processed Story Blocks: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 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))… Processed trackers: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████| 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))… Processed trackers: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 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 graph… Traceback (most recent call last): File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\runpy.py”, line 193, in run_module_as_main “main”, mod_spec) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\runpy.py”, 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 “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\cli\scaffold.py”, line 209, in run init_project(args, path) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\cli\scaffold.py”, line 121, in init_project print_train_or_instructions(args, path) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\cli\scaffold.py”, line 58, in print_train_or_instructions args.model = rasa.train(domain, config, training_files, output) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\train.py”, line 50, in train additional_arguments=additional_arguments, File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\asyncio\base_events.py”, line 488, in run_until_complete return future.result() File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\train.py”, line 101, in train_async additional_arguments, File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\train.py”, line 188, in _train_async_internal additional_arguments=additional_arguments, File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\train.py”, line 223, in _do_training additional_arguments=additional_arguments, File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\train.py”, line 361, in _train_core_with_validated_data additional_arguments=additional_arguments, File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\core\train.py”, line 66, in train agent.train(training_data, **additional_arguments) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\core\agent.py”, line 707, in train self.policy_ensemble.train(training_trackers, self.domain, **kwargs) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\core\policies\ensemble.py”, line 124, in train policy.train(training_trackers, domain, **kwargs) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\core\policies\ted_policy.py”, line 314, in train batch_strategy=self.config[BATCH_STRATEGY], File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\models.py”, line 81, in fit ) = self._get_tf_train_functions(eager, model_data, batch_strategy) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\models.py”, line 241, in _get_tf_train_functions train_dataset_function, self.train_on_batch, eager, “train” File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\rasa\utils\tensorflow\models.py”, line 223, in _get_tf_call_model_function tf_call_model_function(next(iter(init_dataset))) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\eager\def_function.py”, line 568, in call result = self._call(*args, **kwds) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\eager\def_function.py”, line 615, in _call self._initialize(args, kwds, add_initializers_to=initializers) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\eager\def_function.py”, line 497, in _initialize *args, **kwds)) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\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 “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\eager\function.py”, line 2703, in _maybe_define_function graph_function = self._create_graph_function(args, kwargs) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\eager\function.py”, line 2593, in _create_graph_function capture_by_value=self._capture_by_value), File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\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 “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\site-packages\tensorflow_core\python\eager\def_function.py”, line 439, in wrapped_fn return weak_wrapped_fn().wrapped(*args, **kwds) File “c:\users\nileshmallinath.p\appdata\local\conda\conda\envs\rasa_env6\lib\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:

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
11

This could be related to a known issue with tensorflow-addons (see e.g. here).

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.

12

Hi @chkoss,

I am experiencing the same problem on the Raspberry Pi currently:

 Processed Story Blocks: 100%|████████████████████████████| 5/5 [00:00<00:00, 1330.68it/s, # trackers=1]
Processed Story Blocks: 100%|█████████████████████████████| 5/5 [00:00<00:00, 381.91it/s, # trackers=5]
Processed Story Blocks: 100%|█████████████████████████████| 5/5 [00:00<00:00, 84.41it/s, # trackers=20]
Processed Story Blocks: 100%|█████████████████████████████| 5/5 [00:00<00:00, 59.12it/s, # trackers=24]
Processed trackers: 100%|█████████████████████████████████| 5/5 [00:00<00:00, 899.29it/s, # actions=16]
Processed actions: 16it [00:00, 3161.49it/s, # examples=16]
Processed trackers: 100%|████████████████████████████| 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 <module>
    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 didn’t work - same problem.

Kind regards
Julian

13

Installed visual studio build tool and then reinstalled anaconda. It worked!! Successfully executed rasa init.

14

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-prompt’ command. It first gave error “DLL load failed. Failed to load tensorflow runtime”. 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 –force. 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