Comments (1)
This isn't limited to empty indices, we have the same problem whenever the tensor indices list start with null tensors and non-null tensors are next to each other. Our index reordering logic is inconsistent with the PyTorch logic in such cases.
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Related Issues (20)
- Loading large sharded model weights HOT 4
- TPU crash during importing Trainer from transformers HOT 6
- GPT2 CasualLM Inference crashes when using transformers v4.39.0 HOT 6
- Export debug information to StableHLO HOT 11
- Migrate PyTorch/XLA's gradient checkpointing to upstream one HOT 3
- constant folding for AvgPool2d HOT 10
- [torchbench] The official benchmark for performance and accuracy check HOT 7
- model.to(xla_device) increases the number of named_parameters HOT 4
- Spmd whether expert parallelism is supported? HOT 3
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- torchdynamo + XLA crash HOT 11
- Export nn.Module.forward with kwargs to StableHLO HOT 2
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- Cannot Import _XLAC HOT 4
- `is_master_ordinal` breaks dataloader HOT 8
- Failed to build with bazel: ERROR: Source forest creation failed HOT 1
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