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fix contiguous issue - #1594
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fix contiguous issue#1594
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Signed-off-by: Xin He <xin3.he@intel.com>
xin3he
requested review from
Kaihui-intel,
XuehaoSun,
Copilot and
lvliang-intel
March 23, 2026 03:26
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Pull request overview
Fixes a safetensors serialization error encountered with Transformers 5.3.0 where non-contiguous tensors (e.g., lm_head.weight) cannot be saved, impacting auto-round model export.
Changes:
- Ensure tensors are contiguous before calling
safetensors.torch.save_fileduring shard flush. - Keep the
torch.saveserialization path unchanged.
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
lvliang-intel
approved these changes
Mar 23, 2026
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/azp run Unit-Test-CUDA-AutoRound |
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Azure Pipelines successfully started running 1 pipeline(s). |
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|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
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Description
When using transformers 5.3.0,
auto-round --model_name EleutherAI/gpt-j-6b --bits 4 --iters 0ValueError: You are trying to save a non contiguous tensor:
lm_head.weightwhich is not allowed. It either means you are trying to save tensors which are reference of each other in which case it's recommended to save only the full
tensors, and reslice at load time, or simply call
.contiguous()on your tensor to pack it before saving.Type of Change
Related Issues
Fixes or relates to #
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