AttributeErrr - Githubissues

I run the following script to reproduce the results of SVAMP using roberta. I didn't change the code

python3 -m src.main -mode train -gpu 0 -embedding roberta -emb_name roberta-base -hidden_size 384 -depth 2 -lr 0.0002 -emb_lr 8e-4 -batch_size 8 -epochs 50 -dataset mawps-asdiv-a_svamp -no-full_cv -run_name run_svamp

but got the following errror

2021-11-10 01:41:07,779 | INFO | main.py: 420 : main() ::        Experiment Name: run_svamp
2021-11-10 01:41:07,780 | DEBUG | main.py: 421 : main() ::       Created Relevant Directories
2021-11-10 01:41:07,780 | INFO | main.py: 423 : main() ::        Loading Data...
Transfer numbers...
2021-11-10 01:41:09,253 | DEBUG | main.py: 429 : main() ::       Data Loaded...
2021-11-10 01:41:09,254 | DEBUG | main.py: 431 : main() ::       Number of Training Examples: 3138
2021-11-10 01:41:09,254 | DEBUG | main.py: 432 : main() ::       Number of Testing Examples: 1000
2021-11-10 01:41:09,254 | DEBUG | main.py: 433 : main() ::       Extra Numbers: ['0.01', '12.0', '1.0', '100.0', '0.1', '0.5', '3.0', '4.0', '7.0']
2021-11-10 01:41:09,254 | DEBUG | main.py: 434 : main() ::       Maximum Number of Numbers: 7
2021-11-10 01:41:09,254 | INFO | main.py: 437 : main() ::        Creating Vocab...
keep_words 4068 / 4068 = 1.0000
2021-11-10 01:41:10,316 | DEBUG | pre_data.py: 611 : prepare_data() ::   Indexed 4071 words in input language, 21 words in output
2021-11-10 01:41:10,377 | WARNING | helper.py: 160 : get_latest_checkpoint() ::  No Checkpoints Found
2021-11-10 01:41:10,378 | DEBUG | main.py: 460 : main() ::       Vocab saved at models/run_svamp/vocab1.p
2021-11-10 01:41:10,378 | DEBUG | main.py: 472 : main() ::       Config File Saved
2021-11-10 01:41:10,379 | INFO | main.py: 474 : main() ::        Initializing Models...
Some weights of the model checkpoint at roberta-base were not used when initializing RobertaModel: ['lm_head.layer_norm.bias', 'lm_head.layer_norm.weight', 'lm_head.bias', 'lm_head.dense.weight', 'lm_head.dense.bias', 'lm_head.decoder.weight']
- This IS expected if you are initializing RobertaModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing RobertaModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
2021-11-10 01:41:21,871 | DEBUG | main.py: 491 : main() ::       Models Initialized
2021-11-10 01:41:21,871 | INFO | main.py: 492 : main() ::        Initializing Optimizers...
2021-11-10 01:41:21,872 | DEBUG | main.py: 500 : main() ::       Optimizers Initialized
2021-11-10 01:41:21,872 | INFO | main.py: 501 : main() ::        Initializing Schedulers...
2021-11-10 01:41:21,873 | DEBUG | main.py: 509 : main() ::       Schedulers Initialized
2021-11-10 01:41:21,873 | INFO | main.py: 511 : main() ::        Loading Models on GPU 0...
2021-11-10 01:41:29,035 | DEBUG | main.py: 521 : main() ::       Models loaded on GPU 0
2021-11-10 01:41:29,035 | INFO | main.py: 529 : main() ::        Starting Training Procedure
2021-11-10 01:41:32,693 | INFO | logger.py: 33 : print_log() ::  
 Epoch: 1
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/opt/tiger/intro/SVAMP/code/graph2tree/src/main.py", line 805, in <module>
    main()
  File "/opt/tiger/intro/SVAMP/code/graph2tree/src/main.py", line 545, in main
    num_pos_batches[idx], graph_batches[idx])
  File "/opt/tiger/intro/SVAMP/code/graph2tree/src/train_and_evaluate.py", line 704, in train_tree
    input_seq1 = input_seq1.transpose(0,1)
AttributeError: 'str' object has no attribute 'transpose'

arkilpatel / SVAMP

AttributeErrr #5