Hello,
I am trying to make Rasa work with a 2.1 capacty GPU (outside of the tensorflow_gpu minimum requierment.) Is it possible to use Rasa only with tensorflow CPU?
The error log that blocked me all day is the following :
$ rasa init
Welcome to Rasa! π€
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.
Now let's start! ππ½
? Please enter a path where the project will be created [default: current director
y] ./rasa_projects
? Directory '/home/XXX/rasa_projects' is not empty. Continue? Yes
Created project directory at '/home/XXX/rasa_projects'.
Finished creating project structure.
Training an initial model...
Training Core model...
2019-11-28 16:47:12 INFO numexpr.utils - NumExpr defaulting to 4 threads.
2019-11-28 16:47:21 INFO absl - Entry Point [tensor2tensor.envs.tic_tac_toe_env:TicTacToeEnv] registered with id [T2TEnv-TicTacToeEnv-v0]
Processed Story Blocks: 100%|βββββββ| 5/5 [00:00<00:00, 2925.71it/s, # trackers=1]
Processed Story Blocks: 100%|ββββββββ| 5/5 [00:00<00:00, 753.88it/s, # trackers=5]
Processed Story Blocks: 100%|βββββββ| 5/5 [00:00<00:00, 251.17it/s, # trackers=20]
Processed Story Blocks: 100%|βββββββ| 5/5 [00:00<00:00, 168.49it/s, # trackers=24]
Processed trackers: 100%|βββββββββββ| 5/5 [00:00<00:00, 2252.10it/s, # actions=16]
Processed actions: 16it [00:00, 7839.82it/s, # examples=16]
Processed trackers: 100%|βββββββ| 231/231 [00:00<00:00, 869.31it/s, # actions=126]
2019-11-28 16:47:23.292187: F tensorflow/stream_executor/lib/statusor.cc:34] Attempting to fetch value instead of handling error Internal: no supported devices found for platform CUDA
Abandon (core dumped)