code: def test_point_net_with_masking():
      perform_pointnet_block_test(
          batch_dim=20,
          num_points=100,
          num_features=3,
          embedding_dim=128,
          use_batch_norm=False,
          pooling_func_str="max",
          use_feature_transform=True,
          with_masking=True,
          with_output_features=True,
      )
  
file_path: maze/maze/test/perception/blocks/test_point_net.py
imports: import pytest
  import torch
  from maze.perception.blocks.feed_forward.point_net import PointNetFeatureTransformNet, PointNetFeatureBlock
  from maze.test.perception.perception_test_utils import build_input_dict, build_multi_input_dict
label_desc: Use image node_id 7 for calling a global function with example usage: test_point_net_with_masking() without return types