Comments (5)
The ONNX model does have outputs.
This was generated with
python3 -m tf2onnx.convert --saved-model saved_model/ --output model.onnx
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@blakeblackshear thank you for reaching the OpenVINO!
We'll take a look from both ONNX and TF perspective as it seems that they have a common issue.
Thank you!
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Hi @blakeblackshear, how do you check results? Did you try enumerate Result nodes? If you use names, try to add a suffix "/sink_port_0".
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Thank you @gkrivor!
@blakeblackshear I've checked the IR generated for the TF model and there are result nodes named the same as in the original TF model. If the issue is with how outputs are displayed in Netron app then you have to submit the issue to the https://github.com/lutzroeder/netron
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Sorry for the hassle. I shouldn't have assumed that Netron was displaying outputs correctly. Thanks for the quick support.
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Related Issues (20)
- [Performance]: Model Compilation is slower with multi threads HOT 4
- [Bug]: aten::pad_sequence is not supported HOT 1
- [Bug]: hello_classification applicaiton fails at preprocessing. HOT 3
- TypeError: StableDiffusionPipeline.__init__() got an unexpected keyword argument 'tokenizer_2' HOT 6
- [Bug]: ScatterNDUpdate ops on GPU
- Issue when running chat_sample on Intel GPU HOT 3
- [Bug]: openvino 2021.2, myriad device HOT 4
- [Bug]: Ubuntu 22.04 and 24.04 python3-openvino packages and thereby APT installation broken HOT 1
- [Good First Issue][TF FE]: Support SparseTensorDenseAdd operation for TensorFlow HOT 2
- Add signature or change default extension of weights files HOT 2
- [Bug]: convert onnx model into openvino(failed at SplitToSequence, ConcatFromSequence)
- [Bug]: flux model can not convert HOT 7
- [Bug]: FakeQuant failed during import_model(exported quantized_compiled_model) when F.interpolate or nn.Upsample exists HOT 2
- [Bug]: -- No conversion rule found for operations: aten::istft, aten::stft -- Conversion is failed for: prim::Constant HOT 5
- [Feature Request]: Consistent support for large (>1024) number of cores (i.e. dynamically sized cpu_set) HOT 5
- [Feature Request]: Xe Kernel Driver Support HOT 3
- [Bug]: OpenVINO does not support the following ONNX operations: SparseConvolution, ScatterDense HOT 3
- [Bug]: openvino.tools.ovc.error.Error: Unknown model type: <class 'onnx.onnx_ml_pb2.ModelProto'> HOT 6
- [Build]: Ubuntu 22.04 OV Linux build fails HOT 2
- [Good First Issue]: Extend Python API with `BitwiseLeftShift-15` and `BitwiseRightShift-15` HOT 2
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