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using precision=16 with distributed_backend=horovod
Traceback (most recent call last):
File "/workspace/main_lightning.py", line 500, in <module>
main(hyperparams)
File "/workspace/main_lightning.py", line 492, in main
trainer.fit(model)
File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/states.py", line 48, in wrapped_fn
result = fn(self, *args, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/trainer.py", line 1068, in fit
results = self.horovod_train(model)
File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/trainer/distrib_parts.py", line 213, in horovod_train
model, optimizers = model.configure_apex(amp, model, self.optimizers, self.amp_level)
File "/usr/local/lib/python3.6/dist-packages/pytorch_lightning/core/lightning.py", line 954, in configure_apex
model, optimizers = amp.initialize(model, optimizers, opt_level=amp_level)
🐛 Bug
To Reproduce
Steps to reproduce the behavior:
Code sample
Environment
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