Comments (6)
What does your script doing?
from onnx.
Just one line script: import onnx
0nnx 1.16.1 terminated, but 1.16.0 works well.
from onnx.
Maybe this change exaplains why: #6048.
from onnx.
Is there a method to let python show the error reason like #6047 ?
![image](https://private-user-images.githubusercontent.com/9500049/341387584-9ea738c0-a21f-41f1-820c-739eeed1fb7e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.5azXO4Dn1oLLXu7BLeBoMuQaJv45fVrfVKI3H5_pP40)
from onnx.
The changes we wrote for release 1.16.1 are probably not detailed enough: https://github.com/onnx/onnx/releases/tag/v1.16.1.
from onnx.
Okay, thanks!
from onnx.
Related Issues (20)
- onnx.shape_inference.infer_shapes creates a blank graph when passed a >2GB model HOT 1
- Test using bfloat16 and model input/output HOT 1
- Missing type support in parser for various types (float16, bfloat16, ...)
- INT4 TensorProto byte size is 5x larger than expected with negative values
- The PixelUnshuffle op Cannot be converted to SpaceToDepth HOT 2
- OperatorSetProto.onnx: the instance of immutable operator set domain ai.onnx and ai.onnx.ml HOT 1
- Please specify the behavior of min > max in Clip HOT 1
- Any operation to convert "Tile" to "Slice" HOT 1
- Expected output of QLinearMatMul: using astype or np.clip?
- How to use onnx.utils.extract_model to extract more than 2GB child onnx model ? HOT 2
- Shape inference crash on Conv
- s390x test failures - test_make_tensor_raw HOT 1
- Shape inference check fails with external data.
- Shape Inference crash on Gemm
- onnx.checker crashes on STFT
- onnx.checker crashes on LayerNormalization
- Importing `onnx==1.16.1` causes a segmentation fault on MacOS 11 (Big Sur)
- The model is converted to onnx format using dynamic batch precision collapse HOT 8
- Compatibility with numpy>=2.0
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from onnx.