NVIDIA / NVIDIA/apex

AttributeError: 'DistributedDataParallel' object has no attribute 'buckets_ready_size'

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Dominant language
Python
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Description

using DDP without delay_allreduce=True throws this error.

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the AttributeError in Apex with DistributedDataParallel and delay_allreduce disabled. Trace the access to buckets_ready_size through the distributed-training path and determine the expected behavior for this configuration; done means the error no longer occurs and the behavior is covered by a regression check.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, pytorch
Domain
distributed-systems, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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