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Gradient checkpointing and ddp do not work together Probot #29420: Issue #20395 labeled by lantiga
18s
18s
Gradient checkpointing and ddp do not work together Probot #29419: Issue #20395 labeled by lantiga
14s
14s
Major performance degradation when multiple metrics/losses Probot #29418: Issue #20388 labeled by lantiga
22s
22s
Light / dark mode for documentation Probot #29417: Issue #20396 labeled by lantiga
21s
21s
Light / dark mode for documentation Probot #29416: Issue #20396 labeled by lantiga
16s
16s
fix: use standalone tests' exit code Check Schema #30739: Pull request #20430 synchronize by Borda
32s ci/test-standalone
ci/test-standalone
32s
fix: use standalone tests' exit code Test PyTorch #14267: Pull request #20430 synchronize by Borda
22m 58s ci/test-standalone
ci/test-standalone
22m 58s
fix: use standalone tests' exit code Probot #53759: Pull request #20430 synchronize by Borda
24m 34s ci/test-standalone
ci/test-standalone
24m 34s
fix: use standalone tests' exit code Label Pull Requests #9511: Pull request #20430 synchronize by Borda
11s
11s
PytorchStreamReader failed reading zip archive: not a ZIP archive Probot #29414: Issue #20398 labeled by lantiga
24s
24s
PytorchStreamReader failed reading zip archive: not a ZIP archive Probot #29415: Issue #20398 labeled by lantiga
25s
25s
Call configure_module before freeze_before_training Probot #29412: Pull request #20428 labeled by lantiga
20s chualanagit:chualan/fix-19658
chualanagit:chualan/fix-19658
20s
Add doc for TBPTT Probot #29411: Pull request #20422 labeled by lantiga
23s chualanagit:chualan/add-example-for-TBPTT
chualanagit:chualan/add-example-for-TBPTT
23s
fix: use standalone tests' exit code Check Schema #30738: Pull request #20430 synchronize by Borda
1m 40s ci/test-standalone
ci/test-standalone
1m 40s
fix: use standalone tests' exit code Probot #53758: Pull request #20430 synchronize by Borda
18m 27s ci/test-standalone
ci/test-standalone
18m 27s
fix: use standalone tests' exit code Label Pull Requests #9510: Pull request #20430 synchronize by Borda
15s
15s
How to deal with uneven inputs in DDP with sharded data without hanging Probot #29410: Issue #20404 labeled by lantiga
26s
26s
FSDP full state dict mangles fsspec path Probot #29409: Issue #20406 labeled by lantiga
22s
22s
seed_everything(..., workers=True) causes the Dataloader to apply exactly the same augmentations each epoch if they sample values from torch.distributions Probot #29408: Issue #20412 labeled by lantiga
21s
21s
update dataset at "on_train_epoch_start", but "training_step" still get old data Probot #29407: Issue #20407 labeled by lantiga
23s
23s
fix: use standalone tests' exit code Check Schema #30737: Pull request #20430 synchronize by Borda
27s ci/test-standalone
ci/test-standalone
27s
fix: use standalone tests' exit code Probot #53757: Pull request #20430 synchronize by Borda
10m 20s ci/test-standalone
ci/test-standalone
10m 20s
fix: use standalone tests' exit code Label Pull Requests #9509: Pull request #20430 synchronize by Borda
10s
10s
Log default metrics Probot #29406: Issue #20418 labeled by lantiga
21s
21s
PyTorch Lightning uses deprecated torch_xla function, causing compatibility issues with latest torch_xla versions Probot #29405: Issue #20419 labeled by lantiga
22s
22s