File "/home/indra/indra/DeepRule/nnet/py_factory.py", line 40, in __init__ self.model = DummyModule(nnet_module.model(db)) TypeError: __init__() takes 1 positional argument but 2 were given

[kumariindra]

Please help me with the following error in importlib

python train_chart.py --cfg_file CornerNetLine --data_dir CornerNet/data/'linedata(1028)' --cache_path ./cache/ :219: RuntimeWarning: compiletime version 3.6 of module 'pycocotools._mask' does not match runtime version 3.8 :219: RuntimeWarning: builtins.type size changed, may indicate binary incompatibility. Expected 864 from C header, got 880 from PyObject ['line'] loading all datasets... using 1 threads loading from cache file: ./cache/line_train2019.pkl loading annotations into memory... /home/indra/indra/DeepRule/CornerNet/data/linedata(1028)/line/annotations/instancesLine(1023)_train2019.json Done (t=1.36s) creating index... index created! loading from cache file: ./cache/line_val2019.pkl loading annotations into memory... /home/indra/indra/DeepRule/CornerNet/data/linedata(1028)/line/annotations/instancesLine(1023)_val2019.json Done (t=0.02s) creating index... index created! system config... {'batch_size': 26, 'cache_dir': './cache/', 'chunk_sizes': [5, 7, 7, 7], 'config_dir': './config', 'data_dir': 'CornerNet/data/linedata(1028)', 'data_rng': RandomState(MT19937) at 0x7FBD341EAE40, 'dataset': 'Line', 'decay_rate': 10, 'display': 5, 'learning_rate': 0.00025, 'max_iter': 50000, 'nnet_rng': RandomState(MT19937) at 0x7FBD299F1040, 'opt_algo': 'adam', 'prefetch_size': 5, 'pretrain': None, 'result_dir': './results', 'sampling_function': 'kp_detection', 'snapshot': 5000, 'snapshot_name': 'CornerNetLine', 'stepsize': 45000, 'tar_data_dir': 'cls', 'test_split': 'testchart', 'train_split': 'trainchart', 'val_iter': 100, 'val_split': 'valchart', 'weight_decay': False, 'weight_decay_rate': 1e-05, 'weight_decay_type': 'l2'} db config... {'ae_threshold': 0.5, 'border': 128, 'categories': 1, 'data_aug': True, 'gaussian_bump': True, 'gaussian_iou': 0.3, 'gaussian_radius': -1, 'input_size': [511, 511], 'lighting': True, 'max_per_image': 100, 'merge_bbox': False, 'nms_algorithm': 'exp_soft_nms', 'nms_kernel': 3, 'nms_threshold': 0.5, 'output_sizes': [[128, 128]], 'rand_color': True, 'rand_crop': True, 'rand_pushes': False, 'rand_samples': False, 'rand_scale_max': 1.4, 'rand_scale_min': 0.6, 'rand_scale_step': 0.1, 'rand_scales': array([0.6, 0.7, 0.8, 0.9, 1. , 1.1, 1.2, 1.3]), 'special_crop': False, 'test_scales': [1], 'top_k': 200, 'weight_exp': 8} len of db: 116745 building model... module_file: models.CornerNetLine Traceback (most recent call last): File "train_chart.py", line 217, in train(training_dbs, validation_db, args.start_iter) File "train_chart.py", line 86, in train nnet = NetworkFactory(training_dbs[0]) File "/home/indra/indra/DeepRule/nnet/py_factory.py", line 40, in init self.model = DummyModule(nnet_module.model(db)) TypeError: init() takes 1 positional argument but 2 were given