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fix(dist_checkpointing): pass only dtype to torch.empty in load_tensors_metadata - #7620
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ericharper merged 2 commits intoSep 30, 2026
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…rs_metadata `TorchDistLoadShardedStrategy.load_tensors_metadata` built each placeholder tensor with `torch.empty(tp.size, **tp.properties.__dict__, device='meta')`. pytorch/pytorch#194251 adds a `strides` field to `torch.distributed.checkpoint.metadata.TensorProperties`, which `torch.empty` does not accept, so loading any torch_dist checkpoint fails with TypeError: empty() got an unexpected keyword argument 'strides' Checkpoints written by older PyTorch versions are affected too, because the new `TensorProperties.__setstate__` sets `strides = None` when unpickling them. The placeholder only provides the shape and dtype of the ShardedTensor, and `.without_data()` drops the tensor itself, so pass only the dtype, as PyTorch's `_EmptyStateDictLoadPlanner` does. Signed-off-by: Michal Futrega <mfutrega@nvidia.com> Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
asolergi-nv
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/ok to test 188b025 |
kvareddy
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ericharper
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ericharper
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September 29, 2026 18:21
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/ok to test 188b025 |
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What does this PR do?
Fix loading torch_dist checkpoints on PyTorch builds that include pytorch/pytorch#194251, which adds a
stridesfield totorch.distributed.checkpoint.metadata.TensorProperties.TorchDistLoadShardedStrategy.load_tensors_metadatabuilds each placeholder tensor withtorch.empty(tp.size, **tp.properties.__dict__, device='meta').torch.emptydoes not acceptstrides, soload_tensors_metadata,load_sharded_metadataanddist_checkpointing.loadfail on every torch_dist checkpoint:Checkpoints written by older PyTorch versions fail too, because the new
TensorProperties.__setstate__setsstrides = Nonewhen unpickling them.The placeholder only supplies the shape and dtype of the
ShardedTensor(.without_data()drops the tensor itself), so pass only the dtype, as PyTorch's_EmptyStateDictLoadPlannerdoes.Issue tracking
For PRs from open-source community contributors:
Linked issue: none (small bug fix).
Contribution process
Pre-checks
jit_fuser/torch.compile, CUDA extension, TE or external-library dispatch, or a scatter/index accumulation), I have added or updated its bit-exact determinism test and registered it intests/unit_tests/determinism/kernels/manifest.py(guide)Validation
On a PyTorch build that includes pytorch/pytorch#194251 (
2.15.0a0):test_load_tensors_metadata_ignores_tensor_stridesfails without the fix and passes with it.load_tensors_metadataandload_sharded_metadataon a torch_dist checkpoint written by an older PyTorch (925 tensors) raise theTypeErrorwithout the fix and pass with it.dist_checkpointing.save,load_tensors_metadata,dist_checkpointing.loadround trip raises theTypeErrorwithout the fix and passes with it; the loaded tensors match.Code review
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