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• 🧪 See artifacts and rendered test results at hud.pytorch.org/pr/62311
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💊 CI failures summary and remediations

As of commit 40c9b6d (more details on the Dr. CI page):

• 1/1 failures possibly* introduced in this PR
  • 1/1 non-scanned failure(s)

ci.pytorch.org: 1 failed

• Failed: pr/pytorch-linux-bionic-rocm4.2-py3.6

We see the same failure here as observed in #62254 (comment): https://app.circleci.com/pipelines/github/pytorch/pytorch/357039/workflows/1e6f673a-d7bd-47f8-8612-0dc0ae67f249/jobs/15053582

Test failures look real:

test_fn_grad_nn_functional_grid_sample_cuda_float64

  File "/opt/conda/lib/python3.9/site-packages/torch/autograd/gradcheck.py", line 544, in _check_analytical_jacobian_attributes
    raise GradcheckError('Backward is not reentrant, i.e., running backward with '
torch.autograd.gradcheck.GradcheckError: Backward is not reentrant, i.e., running backward with same input and grad_output multiple times gives different values, although analytical gradient matches numerical gradient.The tolerance for nondeterminism was 0.0.

needs to be addressed.

test_variant_consistency_jit_nn_functional_grid_sample_cuda_float32 ca be skipped, I think. cc @eellison

RuntimeError: aliasOp != torch::jit::getOperatorAliasMap().end()INTERNAL ASSERT FAILED at "/var/lib/jenkins/workspace/torch/csrc/jit/passes/utils/check_alias_annotation.cpp":159, please report a bug to PyTorch. 

cc @zou3519 -- would you shepherd this PR through to merge?

@zou3519 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

@zou3519 has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator.

@zou3519 merged this pull request in 7630f40.