Wondering if could you upload the trained data files.
I specifically encounter missing pickle files running ``bash 0_TRAIN_RNN.sh''

`

CONFIG: RUNNING IN LOCAL REPOSITORY.

PROJECT PATH=/**************************/RNN-Lyapunov-Spectrum
PLOTTING HOSTNAME: **************-laptop
CLUSTER=False, CLUSTER_NAME=local
-V- Matplotlib Version = 3.1.2
rnn
-V- Python Version = 3.8.2 (default, Jul 16 2020, 14:00:26)
[GCC 9.3.0]
-V- Torch Version = 1.6.0
Reference train time 23:30:00

Model name:

ARNN-N_used_20000-N_100000-scaler_Standard-NL_1-LR_0.001-L2_0.0-C_gru-RNN_1x40-SL_30
[ModuleList(
(0): GRUCell(3, 40)
), ModuleList(
(0): Linear(in_features=40, out_features=3, bias=True)
)]

Trainable params 5523/5523

INITIALIZING PARAMETERS...

weight_ih
weight_hh
bias_ih
bias_hh
weight
bias
PARAMETERS INITIALISED!
CUDA Device available? False
Number of devices: 0
Using device: cpu
Loading Data...
Datafile
/**************************/RNN-Lyapunov-Spectrum/Data/Lorenz3D/Data/training_data_N100000.pickle
NOT FOUND.
Traceback (most recent call last):
File "./Models/Utils/data_utils.py", line 45, in loadDataPickle
with open(data_path, "rb") as file:
FileNotFoundError: [Errno 2] No such file or directory: '/*************/RNN-Lyapunov-Spectrum/Data/Lorenz3D/Data/training_data_N100000.pickle'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "RUN.py", line 102, in
main()
File "RUN.py", line 99, in main
runModel(args_dict)
File "RUN.py", line 27, in runModel
trainModel(params_dict)
File "RUN.py", line 54, in trainModel
model.train()
File "./Models/rnn/rnn.py", line 502, in train
input_sequence = self.getTrainingData()
File "./Models/rnn/rnn.py", line 470, in getTrainingData
data = loadData(self.train_data_path, "pickle")
File "./Models/Utils/data_utils.py", line 28, in loadData
return loadDataPickle(data_path)
File "./Models/Utils/data_utils.py", line 49, in loadDataPickle
raise ValueError(inst)
ValueError: [Errno 2] No such file or directory: '*********************/RNN-Lyapunov-Spectrum/Data/Lorenz3D/Data/training_data_N100000.pickle'

`

Could you upload the trained data files ?

I specifically encounter missing pickle files running ``bash 0_TRAIN_RNN.sh''

`

CONFIG: RUNNING IN LOCAL REPOSITORY.

PROJECT PATH=/**************************/RNN-Lyapunov-Spectrum
PLOTTING HOSTNAME: **************-laptop
CLUSTER=False, CLUSTER_NAME=local
-V- Matplotlib Version = 3.1.2
rnn
-V- Python Version = 3.8.2 (default, Jul 16 2020, 14:00:26)
[GCC 9.3.0]
-V- Torch Version = 1.6.0
Reference train time 23:30:00

Model name:

ARNN-N_used_20000-N_100000-scaler_Standard-NL_1-LR_0.001-L2_0.0-C_gru-RNN_1x40-SL_30
[ModuleList(
(0): GRUCell(3, 40)
), ModuleList(
(0): Linear(in_features=40, out_features=3, bias=True)
)]

Trainable params 5523/5523

INITIALIZING PARAMETERS...

weight_ih
weight_hh
bias_ih
bias_hh
weight
bias
PARAMETERS INITIALISED!
CUDA Device available? False
Number of devices: 0
Using device: cpu
Loading Data...
Datafile
/**************************/RNN-Lyapunov-Spectrum/Data/Lorenz3D/Data/training_data_N100000.pickle
NOT FOUND.
Traceback (most recent call last):
File "./Models/Utils/data_utils.py", line 45, in loadDataPickle
with open(data_path, "rb") as file:
FileNotFoundError: [Errno 2] No such file or directory: '/*************/RNN-Lyapunov-Spectrum/Data/Lorenz3D/Data/training_data_N100000.pickle'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "RUN.py", line 102, in
main()
File "RUN.py", line 99, in main
runModel(args_dict)
File "RUN.py", line 27, in runModel
trainModel(params_dict)
File "RUN.py", line 54, in trainModel
model.train()
File "./Models/rnn/rnn.py", line 502, in train
input_sequence = self.getTrainingData()
File "./Models/rnn/rnn.py", line 470, in getTrainingData
data = loadData(self.train_data_path, "pickle")
File "./Models/Utils/data_utils.py", line 28, in loadData
return loadDataPickle(data_path)
File "./Models/Utils/data_utils.py", line 49, in loadDataPickle
raise ValueError(inst)
ValueError: [Errno 2] No such file or directory: '*********************/RNN-Lyapunov-Spectrum/Data/Lorenz3D/Data/training_data_N100000.pickle'

`