Comments (1)
Please reopen if it's still an issue with latest ONNX and latest PyTorch
from onnx.
Related Issues (20)
- OpenCV dnn cv.dnn.readNetFromONNX HOT 1
- Source build failed with cmake error HOT 5
- `clip` operation handles NaN values differently between CPU and GPU
- `clip` behaviour with NaN values is different between GPU and CPU onnx inference HOT 5
- There is an error in converting LLaVA model. It should not be adapted to this model. How should this model be converted to onnx HOT 1
- how onnx models stores weights and layer parameters
- [Feature request] checking an input rank is within a specific range HOT 6
- [Feature request] Shape Inference for Einsum instead of Rank Inference HOT 1
- Building failed with Vitis AI. HOT 1
- AttributeError while installing ONNX HOT 11
- Replace const string references with string_views HOT 1
- [ONNX] Onnx file loads very slowly with onnxruntime, which is exported (dynamic_shapes=True) with `torch.onnx_dynamo_export`. HOT 2
- Optimizing Node Ordering in ONNX Graphs: Ensuring Correct Sequence for Model Generation HOT 1
- When will outstanding security vulnerabilities be fixed? HOT 2
- ScatterND's doc gives wrong result for 3d indice case HOT 2
- Equivalent Implementations to ScatterElements operator HOT 3
- onnx.load() -> Can't Open this page HOT 1
- Square Activation is not supported by onnxruntime HOT 1
- Inference Layer by Layer or feature extraction HOT 2
- Support for collective operations / MPI primitives HOT 4
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from onnx.