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Warning: Grad strides do not match bucket view strides DDP. (Can impact performance)

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#1,678 opened on Jan 3, 2024

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Description

Warning when attempting to start training:

...\lib\site-packages\torch\autograd\__init__.py:251: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [64, 1, 4], strides() = [4, 1, 1]
bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\distributed\c10d\reducer.cpp:334.)
  Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass

Maybe this can help https://github.com/pytorch/pytorch/issues/47163 & https://github.com/noahzn/Lite-Mono/issues/43

Contributor guide

Research direction
Investigate the warning source in PyTorch's reducer.cpp, understand gradient layout contract, and check if param strides change during training. Consider the referenced issues #47163 and #43 for potential fixes.
Tech stack
pythonpytorch
Domain
backendmachine learning
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonPyTorchDistributed Data Parallel (DDP)
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40