Comments (2)
Actually, for is the only way to convert to an earlier version to downgrade the python conversion tool to an earlier version I think this covers it -
If you are building ONNX Runtime from source (custom, reduced or minimal builds), you must match the python package version to the branch of the ONNX Runtime repository you checked out.
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We don't generally support forwards compatibility. v6 was introduced in ORT 1.16.0 so the minimum version you would be able to use a v6 model in is 1.16.0.
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Related Issues (20)
- I want to get the“hidden_states” data in the Bert model HOT 3
- [Build] TVM EP Build HOT 1
- BeamSearch op returning wrong results on CUDA execution provider when sequence is used as input_ids HOT 1
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- Type Error: Type 'tensor(int64)' of input parameter (16586) of operator (Clip) in node (Clip_13292) is invalid. HOT 4
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- [Web] The YOLOv8 segmentation model with batching option is not runing on the GPU ? HOT 2
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- Onnxruntime-directml 1.18.0 broken multithreading inference session HOT 3
- [Build] 0.18.0 release breaks Hummingbird build pipeline HOT 4
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