Comments (1)
I have resolved this by replacing -inf by -100.
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Related Issues (20)
- DistributeFilesDataset has issues with DataLoader and `num_workers > 0` HOT 1
- RF scaled_dot_product_attention
- DistributeFilesDataset Sharding with PT Dataloader breaks HOT 3
- Hang in training (often with multi GPU training) HOT 1
- PyTorch Distributed Training: File descriptors opened and never closed HOT 8
- Dataset ctx_left/ctx_right extension: ctx_clip_to_valid option HOT 5
- PyTorch/RF (?): choosing on which epochs to save optimizer state
- Datasets: blocklist in addition to allowlist for segment list file
- Make batch_size configurable for cross validation HOT 1
- Ignore a single broken gradient HOT 2
- DistributeFilesDataset: _distribute_evenly_by_size suboptimal for multi-gpu sharding HOT 8
- multiprocessing: OSError: AF_UNIX path too long HOT 11
- ConcatSeqsDataset with extended functionality HOT 3
- Torch: print model at log verbosity 3 HOT 1
- RuntimeError: CUDA error: an illegal memory access was encountered HOT 1
- Torch gradient_checkpoint_scope _unregister_custom_saved_tensors_hooks error HOT 4
- RF parametrization breaks Conv
- Torch gradient_checkpoint_scope could trigger segmentation fault? HOT 16
- Torch gradient_checkpoint_scope potential memory leak
- Torch multiple simultaneous gradient_checkpoint_scope
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