yangshuo0323 opened a new issue #19800:
URL: https://github.com/apache/incubator-mxnet/issues/19800
## Description
- I want to train BERT model on GPU, but have some problems. My
configuration:
* Software environment: Python: 3.7.7, Cuda: 10.2
* Install MXNet: `pip install mxnet-cu102`
* Download Model script: `https://github.com/dmlc/gluon-nlp`.
- Run script `gluon-nlp/scripts/bert/run_pretraining.py`:
* Reference the instruction:
`https://nlp.gluon.ai/model_zoo/bert/index.html#bert-model-zoo`
```
$ mpirun -np 8 -H localhost:8 -mca pml ob1 -mca btl ^openib \
-mca btl_tcp_if_exclude docker0,lo --map-by ppr:4:socket \
--mca plm_rsh_agent 'ssh -q -o StrictHostKeyChecking=no' \
-x NCCL_MIN_NRINGS=8 -x NCCL_DEBUG=INFO -x
HOROVOD_HIERARCHICAL_ALLREDUCE=1 \
-x MXNET_SAFE_ACCUMULATION=1 --tag-output \
python run_pretraining.py --verbose --model="bert_12_768_12"
--warmup_ratio=1 --comm_backend="horovod" \
--accumulate=1 --max_seq_length=128 --raw
--max_predictions_per_seq=20 --log_interval=1 --ckpt_interval=1000 \
--no_compute_acc
--data=/home/yangshuo/mxnet/Dataset/pre-train-datasets/enwiki-feb-doc-split/*.train
\
--num_steps=1000 --total_batch_size=128 --dtype="float16"
```
- Result error:
## Seek help:
Can I have correct instruction or suggestion ? thanks.
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