self hosted models to translate from Indic to English translation fails with no output

[usaraj]

Error:

get error: "AttributeError: 'dict' object has no attribute '_get_node_flag'" when translating sentences from Indic to English.

Environment details

Installation was successfully done following as per this: https://colab.research.google.com/github/AI4Bharat/indicTrans/blob/main/indicTrans_python_interface.ipynb#scrollTo=E_4JxNdRlPQB

Server: Ubuntu
GPU: Cuda 11.x
Python 3.8

Terminal Output from python run

(langtrans) sysops@das:~/a1bharat/indicTrans$ python app.py
शिर्डी - श्री साईबाबा संस्‍थानचे जानेवारी २०२३ चे उत्‍कृष्‍ट विभाग प्रमुख व उत्‍कृष्‍ट कर्मचारी म्‍हणुन मुख्‍यलेखाधिकारी तथा प्र.प्रशासकीय अधिकारी कैलास खराडे व प्र.लेखाधिकारी साहेबराव लंके यांचा संस्‍थानचे प्र.मुख्‍य कार्यकारी अधिकारी राहुल...
Tue Mar 7 14:58:26 CST 2023
Applying normalization and script conversion
100%|█████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 25.62it/s]
Number of sentences in input: 1
Applying BPE
Decoding
Extracting translations, script conversion and detokenization
Translation completed

Logs from: en_outputs.txt.log:

2023-03-07 14:58:32 | INFO | fairseq_cli.interactive | {'_name': None, 'common': {'_name': None, 'no_progress_bar': False, 'log_interval': 100, 'log_format': None, 'tensorboard_logdir': None, 'wandb_project': None, 'azureml_logging': False, 'seed': 1, 'cpu': False, 'tpu': False, 'bf16': False, 'memory_efficient_bf16': False, 'fp16': False, 'memory_efficient_fp16': False, 'fp16_no_flatten_grads': False, 'fp16_init_scale': 128, 'fp16_scale_window': None, 'fp16_scale_tolerance': 0.0, 'min_loss_scale': 0.0001, 'threshold_loss_scale': None, 'user_dir': 'model_configs', 'empty_cache_freq': 0, 'all_gather_list_size': 16384, 'model_parallel_size': 1, 'quantization_config_path': None, 'profile': False, 'reset_logging': False, 'suppress_crashes': False}, 'common_eval': {'_name': None, 'path': '../indic-en/model/checkpoint_best.pt', 'post_process': 'subword_nmt', 'quiet': False, 'model_overrides': '{}', 'results_path': None}, 'distributed_training': {'_name': None, 'distributed_world_size': 1, 'distributed_rank': 0, 'distributed_backend': 'nccl', 'distributed_init_method': None, 'distributed_port': -1, 'device_id': 0, 'distributed_no_spawn': False, 'ddp_backend': 'pytorch_ddp', 'bucket_cap_mb': 25, 'fix_batches_to_gpus': False, 'find_unused_parameters': False, 'fast_stat_sync': False, 'heartbeat_timeout': -1, 'broadcast_buffers': False, 'slowmo_momentum': None, 'slowmo_algorithm': 'LocalSGD', 'localsgd_frequency': 3, 'nprocs_per_node': 1, 'pipeline_model_parallel': False, 'pipeline_balance': None, 'pipeline_devices': None, 'pipeline_chunks': 0, 'pipeline_encoder_balance': None, 'pipeline_encoder_devices': None, 'pipeline_decoder_balance': None, 'pipeline_decoder_devices': None, 'pipeline_checkpoint': 'never', 'zero_sharding': 'none', 'tpu': False, 'distributed_num_procs': 1}, 'dataset': {'_name': None, 'num_workers': 1, 'skip_invalid_size_inputs_valid_test': True, 'max_tokens': None, 'batch_size': 64, 'required_batch_size_multiple': 8, 'required_seq_len_multiple': 1, 'dataset_impl': None, 'data_buffer_size': 10, 'train_subset': 'train', 'valid_subset': 'valid', 'validate_interval': 1, 'validate_interval_updates': 0, 'validate_after_updates': 0, 'fixed_validation_seed': None, 'disable_validation': False, 'max_tokens_valid': None, 'batch_size_valid': 64, 'curriculum': 0, 'gen_subset': 'test', 'num_shards': 1, 'shard_id': 0}, 'optimization': {'_name': None, 'max_epoch': 0, 'max_update': 0, 'stop_time_hours': 0.0, 'clip_norm': 0.0, 'sentence_avg': False, 'update_freq': [1], 'lr': [0.25], 'stop_min_lr': -1.0, 'use_bmuf': False}, 'checkpoint': {'_name': None, 'save_dir': 'checkpoints', 'restore_file': 'checkpoint_last.pt', 'finetune_from_model': None, 'reset_dataloader': False, 'reset_lr_scheduler': False, 'reset_meters': False, 'reset_optimizer': False, 'optimizer_overrides': '{}', 'save_interval': 1, 'save_interval_updates': 0, 'keep_interval_updates': -1, 'keep_last_epochs': -1, 'keep_best_checkpoints': -1, 'no_save': False, 'no_epoch_checkpoints': False, 'no_last_checkpoints': False, 'no_save_optimizer_state': False, 'best_checkpoint_metric': 'loss', 'maximize_best_checkpoint_metric': False, 'patience': -1, 'checkpoint_suffix': '', 'checkpoint_shard_count': 1, 'load_checkpoint_on_all_dp_ranks': False, 'model_parallel_size': 1, 'distributed_rank': 0}, 'bmuf': {'_name': None, 'block_lr': 1.0, 'block_momentum': 0.875, 'global_sync_iter': 50, 'warmup_iterations': 500, 'use_nbm': False, 'average_sync': False, 'distributed_world_size': 1}, 'generation': {'_name': None, 'beam': 5, 'nbest': 1, 'max_len_a': 0.0, 'max_len_b': 200, 'min_len': 1, 'match_source_len': False, 'unnormalized': False, 'no_early_stop': False, 'no_beamable_mm': False, 'lenpen': 1.0, 'unkpen': 0.0, 'replace_unk': None, 'sacrebleu': False, 'score_reference': False, 'prefix_size': 0, 'no_repeat_ngram_size': 0, 'sampling': False, 'sampling_topk': -1, 'sampling_topp': -1.0, 'constraints': None, 'temperature': 1.0, 'diverse_beam_groups': -1, 'diverse_beam_strength': 0.5, 'diversity_rate': -1.0, 'print_alignment': None, 'print_step': False, 'lm_path': None, 'lm_weight': 0.0, 'iter_decode_eos_penalty': 0.0, 'iter_decode_max_iter': 10, 'iter_decode_force_max_iter': False, 'iter_decode_with_beam': 1, 'iter_decode_with_external_reranker': False, 'retain_iter_history': False, 'retain_dropout': False, 'retain_dropout_modules': None, 'decoding_format': None, 'no_seed_provided': False}, 'eval_lm': {'_name': None, 'output_word_probs': False, 'output_word_stats': False, 'context_window': 0, 'softmax_batch': 9223372036854775807}, 'interactive': {'_name': None, 'buffer_size': 2500, 'input': 'en_outputs.txt.bpe'}, 'model': None, 'task': {'_name': 'translation', 'data': '../indic-en/final_bin', 'source_lang': 'SRC', 'target_lang': 'TGT', 'load_alignments': False, 'left_pad_source': True, 'left_pad_target': False, 'max_source_positions': 1024, 'max_target_positions': 1024, 'upsample_primary': -1, 'truncate_source': False, 'num_batch_buckets': 0, 'train_subset': 'train', 'dataset_impl': None, 'required_seq_len_multiple': 1, 'eval_bleu': False, 'eval_bleu_args': '{}', 'eval_bleu_detok': 'space', 'eval_bleu_detok_args': '{}', 'eval_tokenized_bleu': False, 'eval_bleu_remove_bpe': None, 'eval_bleu_print_samples': False}, 'criterion': {'_name': 'cross_entropy', 'sentence_avg': True}, 'optimizer': None, 'lr_scheduler': {'_name': 'fixed', 'force_anneal': None, 'lr_shrink': 0.1, 'warmup_updates': 0, 'lr': [0.25]}, 'scoring': {'_name': 'bleu', 'pad': 1, 'eos': 2, 'unk': 3}, 'bpe': None, 'tokenizer': None}
2023-03-07 14:58:32 | INFO | fairseq.tasks.translation | [SRC] dictionary: 35904 types
2023-03-07 14:58:32 | INFO | fairseq.tasks.translation | [TGT] dictionary: 32088 types
2023-03-07 14:58:32 | INFO | fairseq_cli.interactive | loading model(s) from ../indic-en/model/checkpoint_best.pt
Traceback (most recent call last):
File "/home/sysops/langtrans/bin/fairseq-interactive", line 8, in
sys.exit(cli_main())
File "/home/sysops/langtrans/lib/python3.8/site-packages/fairseq_cli/interactive.py", line 312, in cli_main
distributed_utils.call_main(convert_namespace_to_omegaconf(args), main)
File "/home/sysops/langtrans/lib/python3.8/site-packages/fairseq/distributed/utils.py", line 364, in call_main
main(cfg, **kwargs)
File "/home/sysops/langtrans/lib/python3.8/site-packages/fairseq_cli/interactive.py", line 145, in main
models, _model_args = checkpoint_utils.load_model_ensemble(
File "/home/sysops/langtrans/lib/python3.8/site-packages/fairseq/checkpoint_utils.py", line 297, in load_model_ensemble
ensemble, args, _task = load_model_ensemble_and_task(
File "/home/sysops/langtrans/lib/python3.8/site-packages/fairseq/checkpoint_utils.py", line 339, in load_model_ensemble_and_task
state = load_checkpoint_to_cpu(filename, arg_overrides)
File "/home/sysops/langtrans/lib/python3.8/site-packages/fairseq/checkpoint_utils.py", line 271, in load_checkpoint_to_cpu
overwrite_args_by_name(state["cfg"], arg_overrides)
File "/home/sysops/langtrans/lib/python3.8/site-packages/fairseq/dataclass/utils.py", line 427, in overwrite_args_by_name
with open_dict(cfg):
File "/usr/lib/python3.8/contextlib.py", line 113, in enter
return next(self.gen)
File "/home/sysops/langtrans/lib/python3.8/site-packages/omegaconf/omegaconf.py", line 669, in open_dict
prev_state = config._get_node_flag("struct")
AttributeError: 'dict' object has no attribute '_get_node_flag'

[sumanthd17]

Can you also share the version of fairseq. It is likely that there's a mismatch in fairseq

[usaraj]

@sumanthd17 - Thanks for your reply.

The fairseq version installed from git repo is: 1.0.0a0+da9eaba.