Fixed some accidental mistake xs

src/trainers/trainer.py

@@ -343,7 +343,39 @@ class Trainer:
                 features[:96], target, predictions, show_legend=(0 == 0)
             )
 
+            if epoch > 0:
+                task.get_logger().report_matplotlib_figure(
+                    title="Training" if train else "Testing",
+                    series=f"Sample {actual_idx}",
+                    iteration=epoch,
+                    figure=fig,
+                )
 
+                task.get_logger().report_matplotlib_figure(
+                    title="Training Samples" if train else "Testing Samples",
+                    series=f"Sample {actual_idx} samples",
+                    iteration=epoch,
+                    figure=fig2,
+                    report_interactive=False,
+                )
+
+            else:
+                print("Saving final plots")
+                # fig to PIL image
+                fig.savefig(f"sample_{actual_idx}_plot.png")
+                task.get_logger().report_image(
+                    title="Final Training Plot",
+                    series=f"Sample {actual_idx}",
+                    iteration=epoch,
+                    image_path=f"sample_{actual_idx}_plot.png",
+                )
+
+                fig2.savefig(f"sample_{actual_idx}_samples_plot.png")
+                task.get_logger().report_image(
+                    title="Final Training Samples Plot",
+                    series=f"Sample {actual_idx} samples",
+                    iteration=epoch,
+                    image_path=f"sample_{actual_idx}_samples_plot.png",
                 )
             plt.close()