cupcup

` _, inds, inverse_map = sparse_quantize(pc_, return_index=True, return_inverse=True) if self.training and len(inds) > self.num_points: # NOTE: num_points must always bigger than self.num_points raise RuntimeError('droping point') inds = np.random.choice(inds, self.num_points, replace=False)`...