KeyError: 'Unable to open object (bad heap free list)'

[ysgncss]

When I use 20news for classification, I get this error, can anyone help me? I have got the dataset from here. https://fednlp.s3-us-west-1.amazonaws.com/partition_files/20news_partition.h5 https://fednlp.s3-us-west-1.amazonaws.com/data_files/20news_data.h5

Loading data from h5 file.: 0%| | 0/11314 [00:00<?, ?it/s]
Traceback (most recent call last):
File "/root/miniconda3/envs/fednlp/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/root/miniconda3/envs/fednlp/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/FedNLP-master/experiments/centralized/transformer_exps/main_tc.py", line 91, in
train_dl, test_dl = dm.load_centralized_data()
File "/home/FedNLP-master/data_manager/base_data_manager.py", line 112, in load_centralized_data
train_data = self.read_instance_from_h5(data_file, train_index_list)
File "/home/FedNLP-master/data_manager/text_classification_data_manager.py", line 23, in read_instance_from_h5
X.append(data_file["X"][str(idx)][()].decode("utf-8"))
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "/root/miniconda3/envs/fednlp/lib/python3.7/site-packages/h5py/_hl/group.py", line 305, in getitem
oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5o.pyx", line 190, in h5py.h5o.open
KeyError: 'Unable to open object (bad heap free list)'

[DeviRule]

Please check your h5py version and match it with our h5py in the requirement.txt

[ysgncss]

There are still the same mistakes when I run this sh. h5py==3.1.0

DATA_NAME=20news
CUDA_VISIBLE_DEVICES=1 python -m experiments.centralized.transformer_exps.main_tc
--dataset ${DATA_NAME}
--data_file ~/fednlp_data/data_files/${DATA_NAME}_data.h5
--partition_file ~/fednlp_data/partition_files/${DATA_NAME}_partition.h5
--partition_method niid_label_clients=100_alpha=1.0
--model_type distilbert
--model_name distilbert-base-uncased
--do_lower_case True
--train_batch_size 8
--eval_batch_size 8
--max_seq_length 256
--learning_rate 1e-1
--epochs 20
--evaluate_during_training_steps 500
--output_dir /tmp/${DATA_NAME}_fed/
--n_gpu 1

[MrigankRaman]

Hi! We at FedML have launched a new platform for FedNLP where there should be no such issue. Can you please check whether you face the same issue there?
Here is the new FedNLP platform: https://github.com/FedML-AI/FedML/tree/master/python/app/fednlp