updated tests

test/acceptance_tests/from_notebooks/test_cropped_decoding.py

@@ -82,7 +82,7 @@ def test_cropped_decoding():
     import torch.nn.functional as F
     from numpy.random import RandomState
     import torch as th
-    from braindecode.experiments.monitors import compute_preds_per_trial_for_set
+    from braindecode.experiments.monitors import compute_preds_per_trial_from_crops
     rng = RandomState((2017, 6, 30))
     losses = []
     accuracies = []
@@ -137,9 +137,9 @@ def test_cropped_decoding():
             print("{:6s} Loss: {:.5f}".format(setname, loss))
             losses.append(loss)
             # Assign the predictions to the trials
-            preds_per_trial = compute_preds_per_trial_for_set(all_preds,
+            preds_per_trial = compute_preds_per_trial_from_crops(all_preds,
                                                               input_time_length,
-                                                              dataset)
+                                                              dataset.X)
             # preds per trial are now trials x classes x timesteps/predictions
             # Now mean across timesteps for each trial to get per-trial predictions
             meaned_preds_per_trial = np.array(