Traceback (most recent call last): File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\core\policies\ensemble.py”, line 318, in from_dict constr_func = registry.policy_from_module_path(policy_name) File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\core\registry.py”, line 21, in policy_from_module_path module_path, lookup_path=“rasa.core.policies.registry” File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\utils\common.py”, line 190, in class_from_module_path m = importlib.import_module(lookup_path) File “c:\users\saprepc\appdata\local\programs\python\python37\lib\importlib_init_.py”, line 127, in import_module return _bootstrap._gcd_import(name[level:], package, level) File “”, line 1006, in _gcd_import File “”, line 983, in _find_and_load File “”, line 967, in _find_and_load_unlocked File “”, line 677, in _load_unlocked File “”, line 728, in exec_module File “”, line 219, in call_with_frames_removed File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\core\policies\registry.py”, line 5, in from rasa.core.policies.embedding_policy import EmbeddingPolicy File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\core\policies\embedding_policy.py”, line 22, in from rasa.utils import train_utils File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\utils\train_utils.py”, line 9, in from tensor2tensor.models.transformer import ( File "c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\tensor2tensor\models_init.py", line 25, in from tensor2tensor.layers import modalities # pylint: disable=g-import-not-at-top File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\tensor2tensor\layers\modalities.py”, line 28, in from tensor2tensor.layers import common_attention File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\tensor2tensor\layers\common_attention.py”, line 952, in def attention_bias_to_padding(attention_bias, cast_fn=tf.to_float): AttributeError: module ‘tensorflow’ has no attribute ‘to_float’
During handling of the above exception, another exception occurred:
Traceback (most recent call last): File “c:\users\saprepc\appdata\local\programs\python\python37\lib\runpy.py”, line 193, in run_module_as_main “main”, mod_spec) File “c:\users\saprepc\appdata\local\programs\python\python37\lib\runpy.py”, line 85, in run_code exec(code, run_globals) File "C:\Users\SaprePC\AppData\Local\Programs\Python\Python37\Scripts\rasa.exe_main.py", line 7, in File "c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa_main.py", line 76, in main cmdline_arguments.func(cmdline_arguments) File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\cli\train.py”, line 76, in train kwargs=extract_additional_arguments(args), File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\train.py”, line 46, in train kwargs=kwargs, File “c:\users\saprepc\appdata\local\programs\python\python37\lib\asyncio\base_events.py”, line 584, in run_until_complete return future.result() File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\train.py”, line 97, in train_async kwargs, File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\train.py”, line 184, in _train_async_internal kwargs=kwargs, File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\train.py”, line 219, in _do_training kwargs=kwargs, File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\train.py”, line 357, in _train_core_with_validated_data kwargs=kwargs, File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\core\train.py”, line 44, in train policies = config.load(policy_config) File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\core\config.py”, line 28, in load return PolicyEnsemble.from_dict(config_data) File “c:\users\saprepc\appdata\local\programs\python\python37\lib\site-packages\rasa\core\policies\ensemble.py”, line 326, in from_dict “”.format(policy_name) rasa.core.policies.ensemble.InvalidPolicyConfig: Module for policy ‘MemoizationPolicy’ could not be loaded. Please make sure the name is a valid policy.
This error occurs when i run “rasa train”. There are two errors :
- module ‘tensorflow’ has no attribute ‘to_float’
- MemoizationPolicy could not be loaded
This is also the problem for a new “rasa init” project
I checked other posts for “MemoizationPolicy” in the forum but was unable to find a suitable and viable solution.