When trying to fit the CAE on my own data, I've run into a roadblock running a simple grid search to train the autoencoder.
Filled out stuff and ran jupyter notebook for 00_data seemingly without issue
Now when I’m running this:
python behavenet/fitting/ae_grid_search.py --data_config C:/Users/taliaferro/.behavenet/ck_lab_coh1_params.json --model_config C:/Users/taliaferro/.behavenet/ae_model.json --training_config C:/Users/taliaferro/.behavenet/ae_training.json --compute_config C:/Users/taliaferro/.behavenet/ae_compute.json
as suggested in https://behavenet.readthedocs.io/en/latest/source/user_guide.autoencoders.html
I get two errors:
AttributeError: Can't pickle local object 'HyperOptArgumentParser.optimize_parallel_gpu..init'
And later
EOFError: Ran out of input
I’ve attached a .txt file that has the full output from the Anaconda command prompt
JT_CAE_Error1.txt
Of note:
-
Data are in the correct format
-
I've cd'd to the suggested directory
-
CUDA toolkit and drivers are installed
Selected computer specs:
-
Dell New Optiplex 7071 Desktop
-
Processor: Intel i9-9900 CPU @ 3.10 GHz
-
48 GB RAM
-
Windows 10 Enterprise
-
Nvidia GeForce RTX 2080 8GB GPU
-
CUDA Version 10.2
(I know Ella and Matt have done all their stuff on Macs, so I'm wondering if this could be a PC thing?)
Any help or thoughts would be greatly appreciated--thanks!
When trying to fit the CAE on my own data, I've run into a roadblock running a simple grid search to train the autoencoder.
Filled out stuff and ran jupyter notebook for 00_data seemingly without issue
Now when I’m running this:
python behavenet/fitting/ae_grid_search.py --data_config C:/Users/taliaferro/.behavenet/ck_lab_coh1_params.json --model_config C:/Users/taliaferro/.behavenet/ae_model.json --training_config C:/Users/taliaferro/.behavenet/ae_training.json --compute_config C:/Users/taliaferro/.behavenet/ae_compute.json
as suggested in https://behavenet.readthedocs.io/en/latest/source/user_guide.autoencoders.html
I get two errors:
AttributeError: Can't pickle local object 'HyperOptArgumentParser.optimize_parallel_gpu..init'
And later
EOFError: Ran out of input
I’ve attached a .txt file that has the full output from the Anaconda command prompt
JT_CAE_Error1.txt
Of note:
Data are in the correct format
I've cd'd to the suggested directory
CUDA toolkit and drivers are installed
Selected computer specs:
Dell New Optiplex 7071 Desktop
Processor: Intel i9-9900 CPU @ 3.10 GHz
48 GB RAM
Windows 10 Enterprise
Nvidia GeForce RTX 2080 8GB GPU
CUDA Version 10.2
(I know Ella and Matt have done all their stuff on Macs, so I'm wondering if this could be a PC thing?)
Any help or thoughts would be greatly appreciated--thanks!