pytorch - 💡(How to fix) Fix DISABLED test_dtensor_requires_grad_intermediate_backward (__main__.TestDTensorCompileWithCompiledAutograd) [2 comments, 3 participants]

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pytorch/pytorch#177751Fetched 2026-04-08 00:57:56
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Root Cause

This test was disabled because it is failing on main branch (recent examples).

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Platforms: linux

This test was disabled because it is failing on main branch (recent examples).

Root cause is some new dynamo graph break due to the test's backward using generators

cc @awgu @wanchaol @fegin @fduwjj @wz337 @wconstab @d4l3k @pragupta @msaroufim @dcci @aditvenk @mruberry @chauhang @penguinwu @voznesenskym @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @kadeng @amjames @Lucaskabela @jataylo

extent analysis

Fix Plan

The fix involves modifying the test to handle the new dynamo graph break due to the test's backward using generators.

Steps to Fix

  • Update the test_dtensor_requires_grad_intermediate_backward test in test_compiled_autograd.py to properly handle the generator in the backward pass.
  • Use a torch.dynamo.reset context to ensure the dynamo graph is reset after each test.

Example Code

import torch
import torch.dynamo

class TestDTensorCompileWithCompiledAutograd:
    def test_dtensor_requires_grad_intermediate_backward(self):
        with torch.dynamo.reset():
            # existing test code here
            pass

Verification

Run the test again to verify that it passes without errors.

Extra Tips

  • Make sure to update the test to handle any potential edge cases with the new dynamo graph break.
  • Consider adding additional tests to ensure the fix is robust and doesn't introduce any regressions.

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