+The main function is
+
+```
+torch.ByteTensor generate_sequence(bool pulling,
+ int nb_sequences,
+ int nb_images,
+ int image_height, int image_width,
+ int nb_shapes,
+ bool random_shape_size, bool random_colors)
+```
+
+where
+
+ * `pulling` indicates if one of the shape should be pulled upward,
+ * `nb_sequences` is the number of sequences to generate,
+ * `nb_images` is the number of frames per sequence,
+ * `image_height` and `image_width` is the individual image size,
+ * `nb_shapes` is the number of rectangular shapes in the simulation,
+ * `random_shape_size` states if the shapes should be of different sizes,
+ * `random_colors` states if they should be of different colors.
+
+The returned ByteTensor has five dimensions:
+
+ * Sequence index
+ * Image index
+ * Channel (3 since it is RGB)
+ * Pixel row
+ * Pixel col
+
+Warning: For improper parameters values (e.g. too many shapes, too
+small images), the simulation may be stuck.
+