Fix layer_config bug and CI unstable issue#1949
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Signed-off-by: Xin He <xin3.he@intel.com>
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/azp run Unit-Test-CUDA-AutoRound |
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Azure Pipelines successfully started running 1 pipeline(s). |
Signed-off-by: Xin He <xin3.he@intel.com>
Signed-off-by: Xin He <xin3.he@intel.com>
Signed-off-by: Xin He <xin3.he@intel.com>
Signed-off-by: Xin He <xin3.he@intel.com>
Signed-off-by: Xin He <xin3.he@intel.com>
Contributor
|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
Signed-off-by: Xin He <xin3.he@intel.com>
Contributor
|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
Contributor
|
/azp run Unit-Test-CUDA-AutoRound |
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Azure Pipelines successfully started running 1 pipeline(s). |
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Description
This pull request introduces improvements to model layer handling, offloading mechanism, and test helper utilities. The main focus is on enhancing the reliability of layer selection, switching to the safer
safetensorsformat for offloading model weights, and refining test prompt defaults.Offloading mechanism improvements:
.ptfiles to the safer and fastersafetensorsformat inauto_round/utils/offload.py. This includes updating both saving (_save_to_disk) and loading (_load_from_disk) methods to usesafetensorsfunctions and file extensions. [1] [2]Model layer handling:
auto_round/compressors/base.pyto avoid misinterpreting compressed layer names as regex character classes, improving accuracy of layer filtering. Now, the raw (uncompressed) layer names are joined for exact substring matching.Test and utility enhancements:
eval_generated_promptwithintest/helpers.pyto use a more realistic question/answer pair ("What is the capital of France?" / "Paris").update_parameter_datainauto_round/experimental/utils.pyby removing the use oflayer_idxin the warning message, making logs clearer.Type of Change
Bug fix
Related Issues
Fixes or relates to #1915
Checklist Before Submitting
/azp run Unit-Test-CUDA-AutoRound.