deepspeedai / deepspeedai/DeepSpeed

Can't access gradients if using ZERO

Open
#1,295 6 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
43.1k
Forks
5k
Avg merge
4d 15h
Merged PRs (30d)
112

Description

Hi,

I was attempting to do adaptive gradient clipping using deepspeed. This requires access to the parameters and their respective gradients (p.grad, etc.).

However, it seems like the ZERO optimizers zero out the gradients after calling .backward(), which means the gradients are not accessible from the parameters, making custom gradient clipping code not possible.

Is removing the gradients from the parameters in .backward() necessary? Would it be feasible to provide a straightforward way to access the gradients and their respective parameters for the user?

Contributor guide

Open the contributing guide

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 tracing how the ZERO optimizers handle gradients after .backward(), especially whether p.grad remains available. Determine a supported way for users to access gradients and their parameters for adaptive clipping; done requires a defined approach and validation that custom clipping can use it.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
distributed-systems, machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.