clear cached files

config/configuration/default.ini

 [Task Setting]
-# Baseline, Sequential_split, Sequential_permute, OneShot(#TODO)
 task_type = Sequential_split  
 
 task_labels = 0,1,2,3,4 | 5,6,7,8,9
 dataset_name = mnist 
 
 [Model Setting]
-model_type = CBLN
+model_type = NN
 model_archi = MLP
 
 hidden_dim = 200

config/configuration/mnist_configuration.ini

+[Task Setting]
+task_type = Sequential_split
+task_labels = |0,1|2,3|4,5|6,7|8,9
+dataset_name = mnist
+
+[Model Setting]
+is_conv = False
+
+[Training Setting]
+batch_size = 128
+optimizer = Adam
+
+[Test Setting]
+num_runs = 200
+num_experiment = 20
+test_batch_size = 10
+

config/configuration/test.ini

-[Task Setting]
-# Baseline, Sequential_split, Sequential_permute, OneShot(#TODO)
-task_type = Sequential_split  
-# num_tasks = 5
-# task_labels = |0|1|2|3|4|5|6|7|8|9
-# task_labels = |0,1|2,3|4,5|6,7|8,9
-# task_labels = |0,1,2,3,4|5,6,7,8,9
-# task_labels = |0,1|2,3|4,5|6,7|8,9
-# task_labels = |0,1,2,3,4,5,6,7,8,9
-# task_labels = |0,1,2|3,4,5|6,7|8,9
-task_labels = |0,1|2,3|4,5|6,7|8,9
-dataset_name = cifar10
-
-[Model Setting]
-model_type = NN
-model_archi = MLP
-
-hidden_dim = 200
-num_layers = 4
-
-is_conv = True
-
-[Training Setting]
-batch_size = 128
-num_iter = 1000
-optimizer = Adam
-lam = 0.
-multi_head = False
-enable_one_hot = True
-
-[Test Setting]
-num_runs = 200
-num_experiment = 20
-test_batch_size = 10
-

configuration.py

 from config.config import Config
 
-conf = Config('test.ini')
+conf = Config('mnist_configuration.ini')

push.sh

-#!/bin/sh
-git add .
-git commit -m 'Uncertainty Layers'
-git push -u origin master
-echo Press Enter ...
-read
\ No newline at end of file