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By any chance do you have any idea why I received following error during training?
I'm running the docker file on some RTX 2080 ti and the last version of CUDA.
Thank you.
process_0 - Initializing MultitaskQuestionAnsweringNetwork
process_0 - MultitaskQuestionAnsweringNetwork has 14,469,902 trainable parameters
Traceback (most recent call last):
File "/decaNLP/train.py", line 374, in
main()
File "/decaNLP/train.py", line 370, in main
run(args, run_args, world_size=args.world_size)
File "/decaNLP/train.py", line 299, in run
model = init_model(args, field, logger, world_size, device)
File "/decaNLP/train.py", line 327, in init_model
model.to(device)
File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 379, in to
return self._apply(convert)
File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 185, in _apply
module._apply(fn)
File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/module.py", line 185, in _apply
module._apply(fn)
File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/rnn.py", line 112, in _apply
self.flatten_parameters()
File "/opt/conda/lib/python3.6/site-packages/torch/nn/modules/rnn.py", line 105, in flatten_parameters
self.batch_first, bool(self.bidirectional))
RuntimeError: CuDNN error: CUDNN_STATUS_SUCCESS
The text was updated successfully, but these errors were encountered:
By any chance do you have any idea why I received following error during training?
I'm running the docker file on some RTX 2080 ti and the last version of CUDA.
Thank you.
The text was updated successfully, but these errors were encountered: