? Do you want to train an initial model? 
Yes
Training an initial model…
The configuration for pipeline and policies was chosen automatically. It was written into the config file at ‘config.yml’.
2024-12-01 13:40:15.992814: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-12-01 13:40:15.992890: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-12-01 13:40:15.992958: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
Traceback (most recent call last):
File “/root/miniconda3/envs/rasapro/bin/rasa”, line 8, in
sys.exit(main())
^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/main.py”, line 143, in main
cmdline_arguments.func(cmdline_arguments)
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/cli/scaffold.py”, line 271, in run
init_project(args, path)
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/cli/scaffold.py”, line 154, in init_project
print_train_or_instructions(args)
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/cli/scaffold.py”, line 87, in print_train_or_instructions
training_result = train(
^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/api.py”, line 109, in train
return asyncio.run(
^^^^^^^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/asyncio/runners.py”, line 190, in run
return runner.run(main)
^^^^^^^^^^^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/asyncio/runners.py”, line 118, in run
return self._loop.run_until_complete(task)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “uvloop/loop.pyx”, line 1518, in uvloop.loop.Loop.run_until_complete
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/model_training.py”, line 250, in train
return await _train_graph(
^^^^^^^^^^^^^^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/model_training.py”, line 343, in _train_graph
await trainer.train(
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/engine/training/graph_trainer.py”, line 76, in train
fingerprint_run_outputs = await self.fingerprint(
^^^^^^^^^^^^^^^^^^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/engine/training/graph_trainer.py”, line 143, in fingerprint
return await fingerprint_graph_runner.run(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/engine/runner/dask.py”, line 103, in run
dask_result = await execute_dask_graph(run_graph, run_targets)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File “/root/miniconda3/envs/rasapro/lib/python3.11/site-packages/rasa/engine/runner/dask.py”, line 228, in execute_dask_graph
raise ValueError(“Found no accessible jobs in dask”)
ValueError: Found no accessible jobs in dask