fixed return

Author: Löffler, Hannes

reinvent/runmodes/RL/reports/tensorboard.py

@@ -98,7 +98,7 @@ def write_report(reporter, data: TBData) -> None:
 
     sample_size = ROWS * COLUMNS
 
-    image_tensor = make_grid_image(data.smilies, results.total_scores, "score", sample_size, ROWS)
+    image_tensor, _ = make_grid_image(data.smilies, results.total_scores, "score", sample_size, ROWS)
 
     if image_tensor is not None:
         reporter.add_image(

reinvent/runmodes/samplers/reports/tensorboard.py

@@ -35,7 +35,7 @@ def setup_TBData(sampled: SampleBatch, time: int, **kwargs):
     counter = collections.Counter(sampled.smilies)
     top_sampled = counter.most_common(ROWS * COLS)
     top_sampled_smiles, top_sampled_freq = zip(*top_sampled)
-    image_tensor = make_grid_image(top_sampled_smiles, top_sampled_freq, "Times sampled", ROWS * COLS, ROWS)
+    image_tensor, _ = make_grid_image(top_sampled_smiles, top_sampled_freq, "Times sampled", ROWS * COLS, ROWS)
 
     return TBData(fraction_valid_smiles,
                   fraction_unique_molecules,
@@ -94,4 +94,4 @@ def _report_scatter(data: TBData, reporter):
     if x_key in data.additional_report.keys() and y_key in data.additional_report.keys():
         x, y = data.additional_report[x_key], data.additional_report[y_key]
         figure = plot_scatter(x, y, xlabel=xlabel, ylabel=ylabel, title=f'{len(x)} Unique')
-        reporter.add_figure(f'{xlabel}_{ylabel}', figure)
+        reporter.add_figure(f'{xlabel}_{ylabel}', figure)