Fail to init(rasa init --no-prompt)

Rasa Open Source
1

Hello, I am new to Rasa. I just followed the tutorial and installed Rasa, but I failed to init a project with (rasa init --no-prompt). The error message is “ImportError: DLL load failed:”. I tried on both python 3.6.8 and 3.7.5. I am on Win10 with Intel®_Celeron®_N4100_CPU. Please help me.

Below is the error message:

Traceback (most recent call last):
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: 動態連結程式庫 (DLL) 初始化例行程序失敗。

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\bitsa\AppData\Local\Programs\Python\Python36\Lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "C:\Users\bitsa\AppData\Local\Programs\Python\Python36\Lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Users\bitsa\.virtualenvs\rasa_test-MbVmQaiL\Scripts\rasa.exe\__main__.py", line 7, in <module>
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\rasa\__main__.py", line 69, in main
    set_log_level(log_level)
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\rasa\utils\common.py", line 68, in set_log_level
    update_tensorflow_log_level()
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\rasa\utils\common.py", line 87, in update_tensorflow_log_level
    import tensorflow as tf
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\__init__.py", line 28, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\imp.py", line 243, in load_module
    return load_dynamic(name, filename, file)
  File "c:\users\bitsa\.virtualenvs\rasa_test-mbvmqail\lib\imp.py", line 343, in load_dynamic
    return _load(spec)
ImportError: DLL load failed: 動態連結程式庫 (DLL) 初始化例行程序失敗。


Failed to load the native TensorFlow runtime.
2

Hi there @yhdrytjd, from what I can see, it is a tensorflow (>1.6) issue having to do with your machine not supporting AVX instructions: Tensorflow Install Problem · Issue #17919 · tensorflow/tensorflow · GitHub

(The tensorflow version we use for reference is 1.14)