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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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DISABLED test_ddp_apply_optim_in_backward_grad_as_bucket_view_false (__main__.TestDistBackendWithSpawn) #137766

Open kwen2501 opened 3 hours ago

kwen2501 commented 3 hours ago

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

Same reason as: disabling test_ddp_apply_optim_in_backward https://github.com/pytorch/pytorch/issues/137761

pytorch-bot[bot] commented 3 hours ago
Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below: * Test name: `test_ddp_apply_optim_in_backward_grad_as_bucket_view_false (__main__.TestDistBackendWithSpawn)` * Platforms for which to skip the test: none parsed, defaulting to ALL platforms * Disabled by `kwen2501` Within ~15 minutes, `test_ddp_apply_optim_in_backward_grad_as_bucket_view_false (__main__.TestDistBackendWithSpawn)` will be disabled in PyTorch CI for all platforms. Please verify that your test name looks correct, e.g., `test_cuda_assert_async (__main__.TestCuda)`. To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified. ``` Platforms: case-insensitive, list, of, platforms ``` We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows. ### How to re-enable a test To re-enable the test globally, close the issue. To re-enable a test for only a subset of platforms, remove the platforms from the list in the issue body. This may take some time to propagate. To re-enable a test only for a PR, put `Fixes #137766` in the PR body and rerun the test jobs. Note that if a test is flaky, it maybe be difficult to tell if the test is still flaky on the PR.