我知道，这是重复的问题，但我找不到解决问题的方法。我试过了，张量流所有版本。
Python 3.6.8 tensorflow = 1.15.0 Windows 10 遇到 VC++ 错误，我安装了 VC++ 14
我尝试通过使用公寓，仍然面临 tensorflow 问题。我面临这样的问题，它创建了项目结构，但是 tensorflow.python.framework.errors
To get started quickly, an initial project will be created.
If you need some help, check out the documentation at https://rasa.com/docs/rasa.
Created project directory at 'C:\Users\Administrator\AppData\Local\Programs\Python\Python36\Scripts\venv\Scripts'.
Finished creating project structure.
Training an initial model...
Training Core model...
Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\ProgramData\Anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\Administrator\AppData\Local\Programs\Python\Python36\Scripts\venv\Scripts\rasa.exe\__main__.py", line 7, in <module>
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\__main__.py", line 92, in main
cmdline_arguments.func(cmdline_arguments)
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\cli\scaffold.py", line 206, in run
init_project(args, path)
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\cli\scaffold.py", line 118, in init_project
print_train_or_instructions(args, path)
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\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\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\train.py", line 50, in train
additional_arguments=additional_arguments,
File "C:\ProgramData\Anaconda3\lib\asyncio\base_events.py", line 583, in run_until_complete
return future.result()
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\train.py", line 101, in train_async
additional_arguments,
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\train.py", line 188, in _train_async_internal
additional_arguments=additional_arguments,
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\train.py", line 223, in _do_training
additional_arguments=additional_arguments,
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\train.py", line 361, in _train_core_with_validated_data
additional_arguments=additional_arguments,
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\core\train.py", line 43, in train
policies = config.load(policy_config)
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\core\config.py", line 28, in load
return PolicyEnsemble.from_dict(config_data)
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\core\policies\ensemble.py", line 308, in from_dict
constr_func = registry.policy_from_module_path(policy_name)
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\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\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\utils\common.py", line 220, in class_from_module_path
m = importlib.import_module(lookup_path)
File "C:\ProgramData\Anaconda3\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\core\policies\registry.py", line 5, in <module>
from rasa.core.policies.ted_policy import TEDPolicy
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\rasa\core\policies\ted_policy.py", line 8, in <module>
import tensorflow_addons as tfa
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\tensorflow_addons\__init__.py", line 21, in <module>
from tensorflow_addons import activations
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\tensorflow_addons\activations\__init__.py", line 21, in <module>
from tensorflow_addons.activations.gelu import gelu
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\tensorflow_addons\activations\gelu.py", line 24, in <module>
get_path_to_datafile("custom_ops/activations/_activation_ops.so"))
File "c:\users\administrator\appdata\local\programs\python\python36\scripts\venv\lib\site-packages\tensorflow_core\python\framework\load_library.py", line 61, in load_op_library
lib_handle = py_tf.TF_LoadLibrary(library_filename)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Invalid name: Addons>Gelu (Did you use CamelCase?); in OpDef: name: "Addons>Gelu" input_arg { name: "features" type_attr: "T" } output_arg { name: "activations" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_HALF type: DT_FLOAT type: DT_DOUBLE } } } attr { name: "approximate" type: "bool" default_value { b: true } }```